Construction of Groundwater Monitoring and Intelligent Management and Control System Based on Internet of Things and Digital Twin Technology

(1) This project uses the Internet of Things, digital twins and numerical simulation technologies to build an automatic control and integrated display service system, construct an underground three-dimensional data base, and realize automatic monitoring of continuous changes in groundwater levels and water quality through a data acquisition platform. The automatic control system and mobile management APP are used to realize remote control of control cabinets and intelligent valves for recharge and backflow operations. The main construction tasks are as follows:
(1) Construct an underground three-dimensional data base. According to the project construction requirements, the underground three-dimensional data base is constructed through digital twin technology, and the recharge wells and key equipment and facilities are finely modeled. The dynamic changes of groundwater levels are simulated using numerical simulation technology.
(2) Build an automatic control and integrated display service system. Relying on the data base, the test site automatic control and integrated display service system is built, including one-picture management, well group monitoring management, water quality monitoring management, remote control management, test management platform, early warning release and system operation and maintenance management modules.
(3) Develop a mobile management APP. Relying on the automatic control and integrated display service system, a mobile APP is developed for real-time monitoring data viewing, remote equipment control, and alarm information query.
5.2.1.2 Design principles
The system design is based on the principles of "economic, reliable, and appropriately advanced".
( 1) Economical: The price of the system itself (including the system, technical services, and training) is reasonable; the economic benefits after the system is put into operation are in line with the possible benefits of the budget; the development costs of the relevant software and hardware required for system integration are reasonable.

 

 

(2) Practicality: According to the characteristics of actual applications, there are multiple management methods; the system design should meet the actual needs of the project; the system configuration emphasizes both advancement and practicality, and should pay attention to the economic benefits of the system configuration to achieve a comprehensive balance; the system configuration should be carried out according to actual needs.

(3) Reliability: It has the ability to complete the functions required by the user within the specified conditions and time, can work stably for a long time, and meet the requirements of 7×24 hours operation; it has a simple structure, few connection points, and high reliability; it has low requirements for working conditions and working environment; the system starts quickly, and the system recovers quickly after power failure and then power on or network transmission is interrupted; the system failure rate is low and maintenance is convenient; it makes full use of existing resources, and the terminal equipment can be seamlessly integrated with the existing system, with a high degree of unity and compatibility, and the technology is feasible.

(4) Advancedness: The system design has basically reached the domestic advanced level, adopts the current international or domestic advanced technology, is feasible and easy to implement; complies with international standards and relevant domestic and international specifications; conforms to the latest development trends of computer and network communication technology, and is a mature application system.

(5) Integration: Highly integrated, small size, light weight, easy to move and connect; under the premise of high integration, it has multiple functions and is easy to access related equipment; the functions of each device can be fully utilized after system integration and can work together in an integrated manner; the system has few parameter configurations and adjustments, a high degree of automation, and is easy to use and simple to operate.

(6) Scalability: The system design should take into account the development of information construction in the future. The system should have strong scalability; consider the scalability of the interface and consider the connection with other types of networks in the future. 5.2.1.3 Overall Framework Based on the objectives and tasks of the project, the test field automatic control and integrated display service system is constructed. The following figure is the overall architecture of the system:

Horizontally, it is divided into physical entities, infrastructure layer, data platform layer and business application layer:
(1) Physical entities
include water replenishment sources, pumped wells (groups), water replenishment pipe networks, test sites, intelligent control equipment, and intelligent monitoring equipment.
(2) The infrastructure layer
includes the water conservancy perception network and the water conservancy government cloud. The water conservancy perception network transmits monitoring facilities such as water replenishment well intelligent control system facilities, intelligent valve control facilities, and groundwater environment monitoring facilities (water temperature, flow, water quality, and water pressure) to the platform through wired or wireless network resources. The water conservancy government cloud stores video images and structured data through computing storage and network security resources, providing underlying support for the platform's basic functions and intelligent analysis.
(3) The digital platform layer
includes the data base, model knowledge platform, application support platform, etc.
The data base mainly includes the basic library, theme library, dynamic monitoring library, and data sharing library.
The model platform mainly includes the visualization model of the water source, pipe network, pumped well group, pump valve, and monitoring equipment, as well as the digital simulation engine for the dynamic changes of water level and water quality.
The knowledge platform mainly includes water replenishment, pumping management solutions and dispatching rules. Video Intelligence

Analysis algorithm scheduling, etc.
The application support platform mainly includes user management support, data management support, public service support, exchange and sharing support and other services;
(4) The business application layer
develops business applications related to groundwater recharge based on the underlying infrastructure and platform support, and provides services to multi-level water conservancy users. Users mainly include groundwater management departments, test site management units, test site operation management personnel, test site analysts and related functional units. The business applications involved mainly include data monitoring, data monitoring, data analysis, data early warning, automatic control, operation and maintenance management, mobile APP, etc.
(2) Vertically, it includes operation and maintenance management, safety management and standards and specifications:
1) Standards and specifications
must be implemented in a standardized manner from the perspectives of management, technology, results, data, coding, review, etc. throughout the project stage to ensure the integration of standards within the system and the entire project process.
2) Operation and maintenance management
provides basic operation and maintenance services, monitors the operation of various resources in real time, and ensures the normal operation of the platform and the efficient use of resources.
3) Safety management
In accordance with the national safety policies and requirements for the corresponding industry business, take corresponding safety protection measures from the dimensions of the project's physical environment, network, data, service, system, etc. to fully ensure system security.
5.2.1.4 Information design of intelligent well replenishment monitoring system
1. System architecture design
The entire intelligent well replenishment monitoring system is divided into a four-layer architecture, including information perception and control layer, communication network layer, data center layer, and application service layer; for regulatory units, operation units

The information perception layer mainly realizes the detection and perception of replenishment water pressure, groundwater level and groundwater quality information. The main equipment of this layer includes IoT pressure monitoring sensors,
IoT
water level monitoring sensors, IoT groundwater quality monitoring sensors, flow monitoring instruments, etc.
The control layer mainly realizes the process control of replenishment/replenishment. The real-time data of IoT devices in the information perception layer is used as the control basis. While ensuring the realization of replenishment/replenishment functions, the normal operation of the equipment is guaranteed. The main equipment of this layer includes intelligent replenishment well control system, intelligent electric valve, etc.
(2) Communication network layer: mainly realizes data exchange between the system and the site. The commonly used communication methods include broadband, 4G wireless, LORA, RS485 communication, etc. This solution uses the terminal node to collect the data through RS485 to the intelligent replenishment well control system control cabinet and then transmit it to the service platform through 4G.
(3) Cloud data center layer: The data center includes infrastructure, application support and big data resource management. The infrastructure provides the hardware operating environment for business application software, including servers, storage and network resources and equipment, and also has the power supply, air conditioning, cabinets and other computer room environment equipment required for the safe operation of the server; application support provides common components for business application software, including data engine, message middleware, reporting tools, interface services, GIS, big data analysis and other components; big data resource management realizes the storage, retrieval, exchange, sharing and display of geographic space and agricultural data, and realizes thematic analysis and in-depth application of data.
(4) Application service layer: The application system meets the actual needs of monitoring well control and management through information and digital methods, and provides management and operation personnel with convenient, efficient and reliable query, early warning, operation and decision support services through big data services, model analysis, information management, Internet of Things collection and other functions.
2. Introduction to system functions

 

(1) System structure
The intelligent replenishment well monitoring system is mainly composed of a cloud platform machine, APP, replenishment well intelligent control system, intelligent valve control system and on-site measurement and control instrumentation equipment (electromagnetic flowmeter, pressure sensor, liquid level sensor, water quality monitoring sensor, etc.). The system is a complete real-time process control system. Under normal operation, the system is uniformly dispatched, operated and controlled by the management center. The replenishment well intelligent control cabinet is the main control node, and the secondary control node and the measurement and control node are connected to the control cabinet via RS485. The replenishment well intelligent control cabinet is remotely connected to the dispatching center network via 4G communication to complete the real-time monitoring and early warning of the operating status, power parameters, water measurement, alarm information and other working conditions and data information of each equipment in the monitoring well, to protect the safe operation of water pumps, valves, flow meters, etc. The control system structure is as follows:

（2）System functions
1) Data collection: real-time collection of water consumption, power consumption, pump operation status, frequency conversion operation parameters, valve opening, valve status, groundwater level, groundwater level, etc.

Data encoding, transmission error verification and data transmission error control, and various data generation for display, refresh, print, retrieval, etc.
2) Data processing: Data encoding, transmission error verification and data transmission error control, and various data generation for display, refresh, print, retrieval, etc. 3) Monitoring: Dynamically display the main operating parameters, accidents, faults, and state changes of the replenishment well control system in the form of numbers, graphics, tables, curves, signal flashing, etc. 4) Monitoring: The main operating parameters, accidents, faults, and state changes of the
replenishment well control system are displayed in the form of numbers, graphics, tables, curves, signal flashing, etc. 5) Monitoring: The main operating parameters, accidents, faults, and state changes of the replenishment well control system are displayed in the form of numbers, graphics, tables, curves, signal flashing, etc. 6) Monitoring: The main operating parameters, accidents, faults, and state changes of the replenishment well control system are displayed in the form of numbers, graphics, tables, curves, signal flashing, etc. 7) Monitoring: The main operating parameters, accidents, faults, and state changes of the replenishment well control system are displayed in the form of numbers, graphics, tables, curves, signal flashing, etc. 8) Monitoring: The main operating parameters, accidents, faults, and state changes of the replenishment well control system are displayed in the form of numbers, graphics, tables, curves, signal flashing, etc.
9) Monitoring: The main operating parameters, accidents, faults, and state changes of the replenishment well control system are displayed in the form of numbers, graphics, tables, curves, signal flashing, etc. 10) Monitoring: The main operating parameters, accidents, faults, and state changes of the replenishment well control system are displayed in the form of numbers, graphics, tables, curves, signal flashing, etc. 11) Monitoring: The main operating parameters, accidents, faults, and state changes of the replenishment well control system are displayed in the form of numbers, graphics, tables, curves, signal flashing, etc. 12) Monitoring: The main operating parameters, accidents, faults, and state changes of the replenish
5) Human-computer interaction: Realize remote communication and human-computer interaction with the cloud platform to ensure that the control system operates safely and reliably according to the set control mode, operating parameters, etc.
6) Frequency conversion control: It can control two frequency converters, namely the backfill boost frequency converter and the backfill water pump frequency converter. The frequency converter can control the working frequency of the frequency converter through 485 communication, and can be connected to the pipeline pressure sensor to achieve constant pressure backfill or backfill.
7) Valve opening control: The intelligent valve opening can be controlled through 485 communication, and the maximum opening value of the backfill valve and the backfill valve can be set; the control cabinet has a valve opening display screen, which can display the valve opening on the display screen and the screen at the same time; the real-time opening of the backfill valve can be adjusted through the control cabinet button.
8) Emergency valve control: The opening and closing of the emergency valve can be controlled through 485 communication. When the water level

When the set upper limit is exceeded or the communication fails, the emergency valve will automatically close to avoid overflow accidents.
9) Flow monitoring: The two-way electromagnetic flowmeter for replenishment and return can be connected through 485 communication to collect water consumption data such as instantaneous water volume and cumulative water volume during replenishment and return. 10
) Replenishment function operation: The replenishment operation mode can choose remote and local control modes, which can be adjusted through the control cabinet knob; the replenishment mode can choose three modes: normally open, quantitative, and timed long, and the parameters can be modified through the touch screen; the replenishment mode can choose constant instantaneous and constant water level modes, and the parameters can be modified through the touch screen.
11) Automatic replenishment function: The automatic/manual mode can be adjusted through the control cabinet knob. When the automatic mode is selected, the automatic replenishment can be started through remote/local operation. According to the preset mode (constant instantaneous, constant water level) and parameter configuration, the replenishment is automatically performed to realize unattended replenishment operation.
12) Operation of the return function: The return operation mode can choose remote and local control modes, which can be adjusted through the control cabinet knob; the return mode can choose three modes: normally open, quantitative, and timed, and the parameters can be modified through the touch screen; the specific date (hour, minute, second) can be set to start the return, with the return low liquid level protection and return flow low detection alarm functions.
13) Groundwater level monitoring: The water level sensor can be connected to detect the groundwater level height, the ground elevation parameters can be set, and the water level depth value can be calculated. The screen and software platform can view the groundwater level in real time. It has the upper and lower limit protection function of the water level, and the trigger limit has protection operation and alarm.
14) Groundwater quality monitoring: The water quality sensor (conductivity, temperature measurement in one) can be connected to detect the groundwater level and water quality environment. The screen and software platform can view the groundwater quality environment data in real time.
15) Recording and printing: All operations, alarm events and real-time parameter reports of the monitored objects can be recorded, and a storage device is connected as historical data, and files can be exported on the platform.

 

 

Alarm processing and diagnosis: When the system hardware equipment fails, such as offline, communication failure, abnormal operation, etc., the equipment will automatically upload the alarm information to the cloud platform. Users can view the alarm information on the platform software and refer to the alarm information for repair and repair.
17) Real-time video monitoring: Install a video monitoring system to view the equipment operation status and monitor the well replenishment status in real time.
5.2.1.5 System hardware equipment
1. Replenishment well intelligent control system

The intelligent control system for replenishment wells is a highly intelligent and automated control system developed for real-time monitoring and control of groundwater replenishment. The system mainly includes an operating display screen, a pulse meter, a frequency converter, an intelligent controller for replenishment wells, relays and power supply parts, etc. The system supports external access to RS485 electromagnetic flowmeters, RS485 intelligent valves, 4-20mA pressure sensors, liquid level meters and other acquisition equipment, and can collect and report the status and parameters of each device in real time. It is mainly responsible for remote replenishment, automatic replenishment, valve switch control, water quality data collection and reporting, etc. Users can view and control the replenishment/replenishment process through the platform software, and can realize unattended replenishment process. It has the characteristics of wide applicability, simple operation, intelligence and high precision, replacing the current manual control method in the groundwater replenishment process.

① It adopts 4G full network communication terminal, compatible with 4G/3G/2G network mode, and can switch operator networks in real time;
② It has 3 RS485 communication interfaces, 4 digital input interfaces, 4 analog input interfaces, 2 relay drive interfaces, and 1 electric valve drive interface;
③ It has alarm warning processing, and the alarm records can be viewed on the platform.
④ It supports the control of 2 frequency conversions, 3 intelligent valves, 2 electromagnetic flow monitoring, 1 groundwater level monitoring and 1 water quality environment (conductivity, temperature) monitoring.
⑤ It has a built-in pulse meter to measure power consumption.
⑥ It has a one-button emergency stop button to achieve emergency power-off protection, but it does not affect the power supply of the controller.
⑦ It has a 15.6-inch high-definition capacitive screen, and the screen supports remote system upgrades.
⑧ The cabinet is made of 304 stainless steel, and the door lock uses an electronic password lock, which supports password, fingerprint, and card unlocking.
⑨The system supports multiple replenishment modes and replenishment methods. The replenishment mode can be selected from three modes: normally open, quantitative, and timed long. The replenishment method can be selected from two modes: constant instantaneous and constant water level.
⑩The system supports a specific timed replenishment function. You can set a specific date (hour, minute, and second) to start the replenishment. The replenishment mode can be selected from three modes: normally open, quantitative, and timed long.
Technical parameters of replenishment well intelligent control system

According to the actual needs of this monitoring well, electromagnetic flowmeters are installed at the replenishment and return pipes respectively.
The electromagnetic flowmeter should have the following configurations:
① Flow measurement: The electromagnetic flowmeter can accurately measure the flow of various liquids.
② Flow velocity measurement: The electromagnetic flowmeter can measure the flow velocity of the fluid and monitor the flow condition of the fluid in real time.
③ Total accumulation: The electromagnetic flowmeter can accurately calculate the total flow of the fluid and realize real-time monitoring and accumulation of the flow, so as to facilitate statistics, analysis and management.
④ Communication function: The electromagnetic flowmeter usually has various communication interfaces, such as RS485, MODBUS, HART, etc., which can be used for data transmission and remote monitoring with the host computer and other equipment. This project uses the RS485 communication interface.

⑤ Anti-interference ability: The electromagnetic flowmeter has strong anti-interference ability and can resist the influence of electromagnetic field interference, pressure changes, temperature changes and medium changes on the measurement results.

According to the actual needs of this monitoring well, pressure sensors are installed at the replenishment and return pipes.
The pressure sensors should have the following configurations:
real-time monitoring of the water pressure values of the replenishment and return pipes, generating pressure value change curves, paying attention to the pressure value change rate, scientifically guiding the start and stop of water supply equipment, ensuring the water pressure balance of the water supply pipeline, and timely discovering and predicting pipe burst accidents to reduce safety accident hazards.

 According to the actual needs of this monitoring well, a immersion water level monitoring sensor is installed at the monitoring well.

The immersion water level sensor should have the following configuration:
① The replenishment well system collects water level information in real time through the immersion water level sensor and reports it to the cloud platform. The system can collect the changes in groundwater level during the replenishment period in real time and generate a change curve in the platform. It has a reference basis for process control during the replenishment process and ensures remote monitoring and control of the groundwater level during the entire replenishment process.
② When this project is used to collect groundwater level data, the liquid level meter is directly placed in the casing of the monitoring well. After temperature compensation and linear correction, the height from the end of the water level meter to the water surface can be accurately measured, and the water level value can be output to the outside through a 4-20mA current signal. The acquisition control equipment receives real-time monitoring data after connecting to the liquid level meter and reports it to the cloud platform.

According to the actual needs of this monitoring well, an immersion water quality monitoring sensor is installed at the monitoring well.
The immersion water quality monitoring sensor should have the following configuration:
① The water quality sensor can collect the changes in groundwater conductivity in real time, automatically report to the platform at regular intervals, and generate a change curve in the platform for users to analyze and use for statistics.
② The water quality sensor can collect the changes in groundwater temperature in real time, automatically report to the platform at regular intervals, and generate a change curve in the platform for users to analyze and use for statistics.

What is the measurement accuracy of immersive water quality monitoring sensors?

Is the installation and maintenance of immersive water level monitoring sensors complicated?

What is the typical service life of a pressure sensor?

According to the actual needs of this monitoring well, one set of intelligent electric valves is installed on the replenishment and lift pipes at the monitoring well, and one set of intelligent valves is added on the replenishment pipe as an emergency valve.
The intelligent electric valve should have the following configuration:
① Communication method: The intelligent electric valve uses wired RS485 for transmission. One master controller can connect to multiple intelligent valves. The intelligent valves are distinguished by HSID equipment number (10-digit number).
② Use motor actuator control to realize the motor control valve cavity opening or closing, and realize irrigation switch control;

What brands and models of smart valves are available?

What is the approximate price of a smart electric valve?

How to install and maintain smart electric valves?

 

③ Dustproof and waterproof: The controller part adopts a waterproof shell with a waterproof grade of IP68, which is suitable for complex environments such as high temperature, high humidity and dust in farmland;
④ An angle feedback device can be built in to realize the opening adjustment control of the valve;
⑤ Suitable for high-pressure control environment, working pressure 0MPa - 1.6MPa;
⑥ With alarm detection, the smart valve has 6 types of alarm detection, including motor overcurrent fault, motor offline fault, valve intermediate state, open/close timeout, low voltage, and valve logic fault;
⑦ Supports manual wrench operation control, and a special wrench can be used to temporarily open and close the valve.
Smart Valve Technical Parameter
Table 5.2 - 6

 

Serial number	performance	parameter
1	model	HS-DDFMR
2	Transmission method	Wired RS485, winding length can be customized
3	External supply voltage	DC12 - 24V
4	Power supply mode	Built-in lithium battery, external power supply for endurance
5	Valve diameter	DN100 National Standard
6	Ambient temperature	-20℃ - +55℃
7	Medium temperature	0℃ - 120℃
8	Ambient humidity	Less than 85% RH
9	Protection level	IP68
10	Power consumption	Less than 24W
11	Body Type	Butterfly valve
12	Work Pressure	0 - 1.6MPa
13	Connection	Flange connection
14	Material	Valve body QT450 cast ductile iron, valve plate 304 stainless steel

 

According to the actual needs of this monitoring well, a video monitoring system is installed at the monitoring well. After the system is completed, the basic functions are mainly equipment monitoring and monitoring well monitoring. It will comprehensively, quickly, timely and accurately grasp the real-time situation, and realize the real-time monitoring, switching control, capture and recording functions of the image. The completed monitoring system can assist operators and managers to achieve visual management, and use digital high-tech means to jointly analyze, study and manage the monitoring well work.
The video monitoring system should have the following configuration:

① Clear imaging, full HD: HD video surveillance technology is used to achieve HD acquisition, storage and display of video image information;
② In complex environments, it can achieve clear monitoring of fog-penetrating, night laser or night infrared video;
③ Management and operation personnel can access online videos through PC and mobile terminals (tablets, mobile phones, etc.);
④ Support 4G communication of China Mobile, China Unicom and China Telecom;
⑤ Support up to 256GB microSD card storage and video collection storage;
⑥ Waterproof grade IP66, strong anti-interference ability, suitable for harsh electromagnetic environments, and in line with GB/T17626.2/3/4/5 four-level anti-interference.
Video surveillance main equipment parameter table Table 5.2-7

 5.2.1.6 Design of automatic control and integrated display service system

The design is introduced from the aspects of system, network, security and operation and maintenance.
(1) System design
The system design is introduced from the aspects of information infrastructure, data collection and collation, data baseboard construction, system function design, third-party middleware and system integration.
1) Information infrastructure
This system intends to use the server and network environment of the existing platform for integrated deployment. Under the premise that the computing, memory, storage and network resources can meet the business application, there is no need to purchase additional infrastructure.
2) Data collection and collation
1. Database design:
basic geographic information database design (including demand analysis, conceptual structure design, logical structure design and physical structure design, etc.);
equipment location vector and attribute database design (including demand analysis, conceptual structure design, logical structure design and physical structure design, etc.);
equipment real-time monitoring database design (including demand analysis, conceptual structure design, logical structure design and physical structure design, etc.);
model database design (including demand analysis, conceptual structure design, logical structure design and physical structure design, etc.).
2. Data collection and organization
The data that need to be collected and organized mainly include basic geographic information and real-time monitoring data, as follows:
Basic geographic information data: including the collection and organization of vector and attribute data such as site images, administrative areas, transportation, water systems, test site scope, and replenishment wells, etc.

Monitoring equipment data: vector and attribute data of water level meter, electromagnetic flowmeter and water quality monitoring equipment are collected, organized and stored.
Real-time monitoring data: docking with IoT devices such as water level meter, electromagnetic flowmeter and water quality monitoring, developing real-time monitoring data docking interface and storing.
3) Data baseboard construction
1. Terrain modeling: import DEM data using terrain modeling tools, generate terrain surface, add terrain texture and enhance terrain realism.
2. Machine well modeling: create a machine well model in a three-dimensional scene according to the actual position and parameters of the machine well, including wellbore, well cover, water pump, underground well pipe, filter pipe and other parts, and make it more realistic by setting model material and light and shadow effects.
3. Underground scene modeling: combine hydrogeological stratification to construct underground three-dimensional scene, and based on hydrogeological drilling, realize the construction of hydrogeological structure model under multi-source data constraints. In the aquifer, the layer information of the aquifer is reflected by color, and the lithology pattern is used to reflect the lithology characteristics of the aquifer. By setting the semi-transparency of the stratum lithology pattern, the stratum color is integrated to comprehensively reflect the basic information of the hydrogeological layer.
4. 3D scene construction: Integrate the basic geographic information of the test site, real-time monitoring data, terrain, wells, and underground scene data to build a comprehensive 3D scene, configure the style and display level of each layer, support the generation of 3D scene cache files and the release of 3D and data services.
5. 3D service publishing and management: including the release and management of map services, 3D scene services, data and analysis services.
4) System function design
1. One-picture integrated display system
uses 3D GIS services and Web client technology to build a one-picture integrated display system, superimposing multi-dimensional information such as hydrogeological models, wells, equipment, pipelines, etc., which can intuitively display the distribution status of all monitoring well sites, equipment points, and pipelines in the project area; support layer switching on demand

Switch combination display and transparency control; support conditional query positioning of engineering facilities and real-time monitoring data and related detailed information viewing; support three-dimensional measurement and analysis functions; integrated camera monitoring distribution points and monitoring detailed information. The details are as follows:
(I) Distribution status display
Three-dimensional scene loading: Based on the three-dimensional GIS platform, use terrain data, satellite image data, etc. to build a realistic three-dimensional geographic scene. Load geographic elements such as wells, equipment, and pipelines into the three-dimensional scene according to their actual spatial positions to achieve an intuitive display of the distribution status of all monitoring well sites, equipment points, and pipelines in the project area.
Three-dimensional scene browsing: Users can zoom, translate, and rotate the three-dimensional scene through mouse, keyboard, or touch operations to view the distribution of geographic elements from different angles.
Dynamic element annotation: Add dynamic annotations to each geographic element. When the user hovers over the element, the basic information of the element, such as the well name, equipment number, etc., is automatically displayed, which is convenient for users to quickly understand the overview of the element.
(II) Layer control function
Layer switching and combination: On the Web client interface, design a layer control bar. Users can switch layers on demand by checking or unchecking the layer name. At the same time, it supports users to select multiple layers for combined display to meet the personalized needs of different users for data display. For example, users can display the well layer and pipeline layer at the same time to analyze the spatial relationship between the two.
Layer transparency adjustment: Set the transparency adjustment function for each layer. Users can adjust the transparency of the layer by sliding the slider. By adjusting the transparency, users can more clearly view the information after the superposition of different layers. For example, when viewing the hydrogeological model layer, appropriately reduce its transparency so that information from other layers can be observed at the same time.
(III) View detailed information

Information query interface: When the user clicks on the engineering facilities or the geographical elements corresponding to the real-time monitoring data on the map, a detailed information viewing window pops up. The window design follows the principle of simplicity and intuition, and displays the detailed information of the elements in categories, including basic information, real-time monitoring data, historical data, etc.
Data association display: In the detailed information viewing window, the data association display is realized. For example, for the machine well element, not only its basic information such as location and specifications are displayed, but also its corresponding real-time water level, flow rate and other monitoring data, as well as the trend chart of historical monitoring data, provide users with comprehensive and in-depth information services.
(IV) Three-dimensional measurement and analysis
Measurement and analysis: The three-dimensional scene supports distance measurement, area measurement, height measurement and other functions.
(V) Video surveillance integration
In the three-dimensional scene, the point distribution display of the integrated video surveillance camera, as well as the viewing of camera details and the viewing of real-time monitoring screens.
2. The information-based large-screen integrated display system
uses an information-based large-screen to dynamically display key indicators, including replenishment water volume, water level changes, water quality changes, equipment operating status, and current test results, and displays them in the form of charts, graphics, and text; supports conditional queries and result exports based on time range, data type, keywords, etc.; integrates and displays early warning information, auxiliary decision-making information, and remote control information. The details are as follows:
(a) Integrated key indicator dynamic display
chart design and display: Design corresponding charts based on different data types and display requirements. For replenishment water volume and water level change data, use line charts or bar charts to intuitively display the data change trend over time; for water quality change data, use dashboards or radar charts to clearly present the current status of various water quality indicators; the equipment operation status is displayed through status indicator lights or status

Icons display the running, fault, shutdown and other status of the equipment in real time; the current test results are combined with a variety of chart forms, such as comparative bar charts, progress bars, etc., to comprehensively display the progress and results of the test.
Graphical prompt information: On the basis of the chart display, add necessary text descriptions and data annotations. Highlight the key data with concise and clear text descriptions to help users quickly understand the meaning of the data. At the same time, set dynamic prompt information to display detailed data information when the user hovers over the chart element.
Data comparison analysis: Display the comparison of current data with historical data and target values of the same period next to the chart, highlight the differences with eye-catching colors, so that users can quickly understand the magnitude and trend of data changes.
(II) Integrated conditional query
conditional query module: Design a conditional query module on the large-screen display interface. Provide query controls such as time range selector and data type filter box, and users can select the query time range, data type and other conditions as needed. In addition, add a fuzzy search box, users enter keywords, and the system automatically matches relevant data to improve the convenience of query. In terms of query result display, in addition to generating charts and data, it also supports exporting in the form of reports, which is convenient for users to conduct offline analysis and reporting.
3) Integrated automatic warning information
Set warning thresholds for water level, water quality, replenishment water volume and other data. When the monitoring data exceeds the threshold, the system automatically triggers the warning mechanism. The user is prompted with a flashing icon and a striking pop-up window on the large screen, and a message or email is sent to notify the relevant person in charge.
3. The well group monitoring system
is connected to the flow metering monitoring equipment to grasp the operating status of the flow monitoring equipment in real time, and the replenishment and pumping water volume of each well and well group. Connect the water level sensor in the well to grasp the operating status of the water level monitoring equipment in real time, collect groundwater level change data, and grasp the groundwater level changes in the test site.
At the same time, it provides intelligent warning and decision support for well group monitoring data, open and shared interfaces, etc. The details are as follows:
(I) Real-time monitoring of equipment status
Develop an equipment status monitoring module to obtain real-time information such as the operating status, power, signal strength, etc. of flow and water level equipment. Through the equipment management interface, the operation status of the equipment is displayed with intuitive charts and status indicators, such as green for normal operation of the equipment and red for equipment failure. Once an abnormality occurs in the equipment, the system immediately issues an alarm and notifies the operation and maintenance personnel to handle it. In addition, set up equipment operation logs to record the equipment's on/off time, fault records and other information to facilitate tracing the equipment's operation history.
(II) Visual data analysis
Develop a data visualization module to display well group monitoring data in the form of intuitive charts and maps. Mark the location of the well group on the map, and display the changes in the replenishment, backwashing and groundwater level of each well in real time. Analyze the time change trend of the well group's replenishment, backwashing and groundwater level, as well as the data differences between different wells through line charts, bar charts and other charts.
In addition, support data comparison analysis, users can select data from different time periods or different wells for comparison, and gain a deeper understanding of the operation rules of the well group.
(III) Intelligent early warning and decision support
Establish an intelligent early warning system and set early warning thresholds for replenishment, backwashing and groundwater level. When the monitoring data exceeds the threshold, the system automatically issues an alarm and notifies relevant personnel through messages, system pop-ups and other methods.
At the same time, use data analysis to predict the operation status of the well group and discover potential problems in advance, such as the risk of ground subsidence that may be caused by the continuous decline in groundwater levels. Based on the data analysis results, provide users with decision support suggestions, such as reasonably adjusting the replenishment plan according to the replenishment water volume and groundwater level changes, and optimizing the operation efficiency of the well group.
(IV) Data sharing and openness
Provide scientific research institutions, government departments, etc. with data interfaces for well group water level meter flow monitoring to achieve data sharing and promote collaborative research and management in the field of water quality monitoring.
4. The water quality monitoring system
connects to water quality monitoring equipment to grasp the operating status of water quality monitoring equipment, changes in groundwater acidity (pH value), dissolved oxygen, conductivity, turbidity and other water quality parameters in real time, timely detect water quality changes, and ensure the safety of water supply quality. At the same time, establish a multi-level early warning mechanism and decision support model to provide an open and shared interface for water quality monitoring data. The details are as follows:
(I) Real-time monitoring of equipment status
Develop an equipment status monitoring platform to obtain real-time information such as the operating status, power, sampling frequency, and data transmission of water quality monitoring equipment. Through a visual interface, the equipment status is displayed with color identification and icons. Green represents normal operation, yellow indicates abnormal equipment parameters, and red indicates equipment failure. When an abnormality occurs in the equipment, the system immediately issues an alarm message through messages, system pop-ups, etc.
(II) Visual data analysis
Multi-dimensional data display: Develop a data visualization module to display water quality monitoring data in the form of intuitive charts and maps. Mark the location of the monitoring point on the map and display the water quality parameters of each monitoring point in real time. Analyze the time trend of water quality parameters, the differences between different monitoring points, and the correlation between parameters through line charts, bar charts, dashboards and other charts.
In-depth data analysis: Support users to customize data analysis models to perform data comparison analysis, trend prediction and other operations. For example, compare water quality parameters in different seasons and different regions, predict water quality change trends, and provide a scientific basis for water quality management.
(III) Intelligent early warning and decision support
Multi-level early warning mechanism: Establish an intelligent early warning system and set different levels of early warning thresholds according to water quality standards and actual needs. When the monitoring data exceeds the threshold, the system automatically issues an alarm and notifies relevant personnel in various ways. At the same time, the corresponding emergency response plan is initiated according to the early warning level.
Decision support model: Use data analysis to analyze the causes of water quality changes and provide users with decision support suggestions.
(IV) Data Sharing and Openness
Provide water quality monitoring data interfaces for scientific research institutions, government departments, etc., realize data sharing, and promote collaborative research and management in the field of water quality monitoring.
5. Remote control system
Remotely control the start and stop of water pumps and valve opening, and automatically control the operation status of water pumps according to changes in flow, water level, water quality, etc. Set thresholds for parameters such as water level, water quality, and water volume. When the monitoring data exceeds the threshold, the system automatically issues a warning message and adjusts the operation status of the equipment. The details are as follows:
(I) Real-time status monitoring of equipment
Build an equipment status monitoring platform to obtain real-time information such as the operation status, working hours, and energy consumption of equipment such as water pumps and valves. Through an intuitive visual interface, use animations and color labels to display the status of the equipment. Green represents normal operation, red represents a fault, and yellow indicates that the equipment needs maintenance. Users can view various parameters of the equipment in real time, including water pump speed, valve opening, etc.
(II) Refined remote control
Remote precision control: Develop a remote control interface to support users to start, stop, and adjust the equipment through the PC. Provide multiple control modes such as manual control, timing control, and cycle control. Taking a water pump as an example, users can not only remotely control its start and stop, but also accurately adjust the speed of the water pump according to actual needs to achieve energy-saving and efficient operation.
(III) Intelligent automatic control
Intelligent control strategy optimization: Based on real-time monitoring data such as water level, water quality, and water volume, dynamic automatic control strategies are formulated using intelligent algorithms such as fuzzy control and neural networks. Taking water level control as an example, the system can automatically adjust the start and stop time and operating power of the water pump according to the rate and amplitude of water level changes to avoid damage to the equipment caused by frequent start and stop.
(IV) Early warning and emergency response
1.
Fine-tuning of thresholds for multi-level early warning mechanisms: According to actual needs and industry standards, multi-level early warning thresholds are set for parameters such as water level, water quality, and water volume. For example, water level warnings are divided into three levels: mild, moderate, and severe, and each level corresponds to different treatment measures.
Multi-channel early warning notification: When the monitoring data exceeds the threshold, the system automatically sends out early warning information through messages, system pop-ups, and other methods to notify relevant personnel. At the same time, users are prompted with flashing icons and eye-catching pop-ups on the control interface to ensure that early warning information is conveyed in a timely manner.
2.
Automatic emergency response strategy: According to the warning level, the system automatically starts the corresponding emergency response plan. When the water level is too high, the water pump will automatically increase the drainage force and close some water inlet valves at the same time; when the water quality seriously exceeds the standard, the water supply will be automatically stopped and the water purification equipment will be started for treatment.
Emergency decision support: Provide decision support for emergency disposal. While issuing an early warning, the system analyzes the possible causes of the failure and gives corresponding treatment suggestions. For example, when a water pump fails, the system prompts the startup operation process of the backup water pump to help users quickly solve the problem.
6. The test management platform
supports horizontal comparison and spatial comparison analysis of data from multiple test stages; supports simulation and real-time feedback adjustment and optimization of test plans; supports automatic report generation and export. The details are as follows:
(i) Multi-dimensional comparative analysis

Horizontal comparison of multiple test phases: supports horizontal comparison and trend prediction of data in multiple test phases. Analyze and compare the large amount of collected data to extract valuable information, such as the trend of groundwater level changes and the law of water quality changes. Through a variety of charts such as bar charts, line charts, and radar charts, the differences of various indicators in different test phases are intuitively displayed to help users quickly find problems and advantages in the test.
Spatial comparative analysis: Combined with geographic information system (GIS) technology, spatial comparative analysis of test data is carried out. Geographic elements such as recharge wells and monitoring points are marked on the map to show the differences in the spatial distribution of groundwater levels and water quality. Through spatial autocorrelation analysis, hot spot analysis and other methods, hot spots of groundwater level and water quality changes are found to provide spatial decision-making basis for optimizing recharge plans.
(II)
Simulation of test plan optimization: Build a simulation platform for test plans. Users can enter different recharge plan parameters, such as recharge well location, recharge water volume, recharge time, etc., and the system simulates the implementation effect of the plan. By comparing the simulation results of different plans, users can choose the best recharge plan to reduce test costs and risks.
Decision support: Combined with real-time monitoring data, data analysis results and industry experience, the test plan is adjusted in real time to provide decision-making suggestions for users. When the monitoring data shows that the current replenishment water volume is insufficient or the replenishment plan is not effective, the system automatically analyzes the reasons based on hydrogeological conditions, equipment operation status and other factors, and gives adjustment suggestions, such as adjusting the replenishment water volume, changing the replenishment well location, adjusting the replenishment time or optimizing the water pipeline layout, etc., to achieve dynamic optimization of the test plan.
(III) Automated report generation and export
Automated report generation: Develop a report generation module. Users only need to select the required report type and data range, and the system can automatically generate a detailed test analysis report. The report content includes data overview, analysis results, conclusions and suggestions, etc.
Support report export function.
7. System operation and maintenance management
realizes single sign-on, user role permission management, and data security protection. The details are as follows:
1. The single sign-on system
is connected with the existing unified identity management platform to realize centralized management of user identity information. When users register, modify passwords, log out, etc. on the unified identity management platform, the system operation and maintenance management module synchronizes relevant information in real time to ensure the consistency and accuracy of user identity information.
II. User role and authority management
User management
User information maintenance: Supports entry, modification and deletion of basic user information, such as name, contact information, department, etc., to ensure the accuracy and timeliness of user information.
Account management: Create a system login account for the user, set the initial password, and provide a password reset function. Manage the user account status, including enabling and disabling operations, and flexibly control the user's access to the system.
Role management
Role creation and editing: Allow administrators to create different types of roles according to business needs, such as project leader, project operator, project analyst, etc. Edit the role name and description to accurately reflect the role responsibilities.
Role authority configuration: For each role, configure the corresponding functional authority and data access authority to achieve the association between roles and authorities.
Authority management
Authority allocation: According to the role to which the user belongs, assign corresponding authorities to the user. Support batch allocation and single user authority adjustment to ensure that user authorities are consistent with role responsibilities.
Authority control: Control the user's operating authority, accurate to each functional module of the system.
III. Data security protection
(I) Data encryption transmission
During data transmission and storage, encryption algorithms are used to encrypt data. During data transmission, use SSL/TLS protocol to ensure secure data transmission.
(II) Data backup and recovery
Establish a complete data backup and recovery mechanism, and regularly perform full and incremental backups of system data. Store backup data on off-site servers to prevent data loss due to local server failures or natural disasters. At the same time, conduct data recovery drills regularly to ensure that data can be quickly and accurately restored when data is lost or damaged, thereby ensuring business continuity.
(III) Data security vulnerability management
Regularly scan the security vulnerabilities in the system to detect security vulnerabilities in the system's network architecture, applications, databases, etc. When security vulnerabilities are found, repair them in a timely manner and track the repair results. At the same time, pay attention to the latest developments of security vulnerabilities, update the system's security patches in a timely manner, and improve the security of the system.
(IV) Data desensitization and privacy protection
Desensitize sensitive data during data sharing and external display. Use data desensitization algorithms to desensitize sensitive data such as user information and groundwater level data, which not only protects data privacy but also does not affect data analysis and use. At the same time, formulate data privacy protection policies, clarify the scope and authority of data use, and protect user privacy security.
8. Equipment operation and maintenance management
(i) Equipment ledger management
Equipment ledger management focuses on water level, flow, water quality and other monitoring equipment and valve control equipment. In the input stage, basic information such as equipment name, model, manufacturer, purchase time, installation location, and equipment technical parameters, such as the range and accuracy of water level monitoring equipment, are collected. Support query of equipment information and quickly locate equipment information through keywords such as equipment name and installation location. In addition, it can generate equipment reports, count the number and distribution of equipment, provide data support for equipment maintenance and update, and ensure that equipment management work is carried out efficiently and orderly.
(ii) Real-time monitoring and early warning of equipment status
Use Internet of Things technology to realize real-time monitoring of the status of monitoring equipment. By installing sensors on the equipment, the operating parameters, working status and other information of the equipment are collected in real time, and the data is transmitted to the equipment operation and maintenance management module. When the equipment fails or is abnormal, the system immediately issues an early warning message to notify the operation and maintenance personnel to handle it. At the same time, based on the equipment's operating data, the risk of equipment failure is predicted, maintenance work is arranged in advance, and the reliability of the equipment is improved.
9. The application support platform
provides data management support, public service support, exchange and sharing support and other capabilities. The details are as follows:
1. Data management support capabilities
(I) Multi-source data access and integration
Diversified data interface support: Provides a rich data interface to support access to multiple data sources, including relational databases, non-relational databases, file systems, API interfaces, etc. Through the data access tool, users can quickly configure the data source to achieve real-time synchronization and update of data.
Data cleaning and conversion: Provides data cleaning and conversion functions during data access. Through preset data cleaning rules, remove noise, duplicate data and outliers in the data; support data format conversion, encoding conversion and other operations to ensure data consistency and availability.
(II) Data query and analysis
Data query engine: Develop a data query engine to improve query efficiency and accuracy through semantic analysis, query optimization and other technologies. At the same time, support advanced query functions such as fuzzy query and associated query to meet users' diverse query needs.
Data visualization analysis: Integrate data visualization tools to quickly generate various data visualization reports.
2. Public service support capabilities
(I) General service component integrated
message push service: Integrate message push service to support multiple push channels such as messages and instant messaging. Users can customize message templates and push strategies according to business needs to achieve accurate message push.
(II) Business process engine supports
visual process designer: Provides visual business process designer, users can quickly design business processes through drag-and-drop operation. The process designer supports a variety of process elements, such as task nodes, approval nodes, branch nodes, etc., to meet the needs of different business scenarios.
Process automation execution: After the business process design is completed, the system automatically generates executable process instances. Through the process engine, the process is automatically executed, including task allocation, reminders, circulation, etc., to improve business processing efficiency.
(III) File management service
file storage and sharing: Provides file storage services, supports uploading, downloading and management of multiple file formats. Users can create file directories and classify and store files; at the same time, supports file sharing functions, users can share files with other users or organizations to achieve collaborative management of files.
III. Enhanced exchange and sharing support capabilities
(I) Data exchange platform construction
Standardized data exchange interface: Formulate standardized data exchange interfaces, and realize data exchange and sharing between different systems through data exchange interfaces to ensure the safe transmission of data.
Data exchange process management: Establish a data exchange process management mechanism to monitor and manage the data exchange process. Users can configure the frequency, time, method and other parameters of data exchange to achieve automation and standardization of data exchange.
(II) Data sharing service provides
data sharing directory management: Create a data sharing directory to classify and manage the shareable data. Users can view and apply for shared data in the data sharing directory, which will be approved by the data owner. After approval, users can obtain the corresponding data sharing permissions.
Data sharing security guarantee: In the process of data sharing, data encryption, desensitization and other technologies are used to ensure the security and privacy of data.
5) Third-party middleware
1. 3D GIS engine: Purchase domestically produced, independent and controllable mainstream mature 3D GIS engine, and have the following characteristics:
High-fidelity visualization: Integrate high-fidelity visualization rendering capabilities to provide more realistic 3D scene rendering effects.
Multi-source data support: Supports multiple spatial data types, including vector data, raster data, images, terrain, oblique photography, 3D model data, etc., and can process massive multi-source heterogeneous geographic data.
Cross-platform support: Provides cross-platform solutions that can run on different operating systems and devices.
Multi-service support: Supports the release of multiple services, including map services, data services, 3D services, spatial analysis services, etc.
2. Database platform software: Purchase domestically produced, independent, controllable, mainstream and mature database platform software with the following features:

一、High-performance architecture design
Storage and query optimization: using advanced storage engine and parallel query mechanism, support high-speed reading and writing of massive data, and achieve non-interference between query and update operations.
2. High availability and disaster recovery
Data redundancy and rapid recovery: support master-slave replication, data protection system, automatic fault recovery, ensure business continuity.
3. Security and compatibility
Multi-layer security protection: provide data encryption, access control, audit and other functions to meet strict security compliance requirements.
Cross-platform and standard compatibility: adapt to mainstream operating systems such as Windows, Linux, Kylin, support multiple programming languages and international standard protocols.
4. Distributed and scalable
Elastic expansion capability: support horizontal expansion and vertical expansion to meet business growth needs.
5. Intelligence and management convenience
Graphical and automated tools: provide a wealth of management tools and APIs to simplify daily operation and maintenance operations.
6) System integration
1. Multi-source data fusion: integrate basic geographic, topographic, engineering facility data (data related to recharge wells and water pipelines) and real-time monitoring data. Since these data sources are diverse and in different formats, it is necessary to use data conversion tools to extract data from different data sources such as databases and file systems, perform format conversion, cleaning and standardization, and then load them into a unified data warehouse. For example, the vector data of geological maps and the text data of water level monitoring are uniformly converted into a format suitable for data analysis and stored in a relational database for subsequent comprehensive analysis.
2. Data interface docking: Establish a data interface to realize data interaction between different monitoring equipment and systems. For the data transmission interface of hydrogeological monitoring equipment (such as water level sensors, water quality monitors) and flow metering equipment of engineering facilities, follow a unified data communication protocol for docking. Through the data interface, various types of monitoring data can be obtained in real time to ensure the timeliness and accuracy of the data.
3. Data update and synchronization mechanism: formulate data update and synchronization strategies to ensure the timeliness of data. For data with high real-time requirements, such as water level dynamic change data and replenishment water time distribution data, real-time data synchronization technology is used to achieve minute-level or even second-level data updates. For data that changes relatively slowly, such as geological structure data and static parameter data of engineering facilities, they are updated regularly.
4. Functional module integration: Integrate various functional modules in the deep groundwater recharge information system, including data acquisition and transmission module, data analysis and processing module, visualization module, decision support module, etc. Through system architecture design, seamless connection and collaborative work between modules are achieved. The data acquisition module transmits various types of data acquired in real time to the data analysis module. After analysis and processing, the results are pushed to the visualization module to provide data basis for the decision support module, realizing the whole process from data acquisition to decision making.
5. Unified user interface: Design a unified user interface to provide users with a consistent operating experience. Adopt responsive Web design or cross-platform mobile application development framework. In terms of interface layout, set clear navigation bars and operation areas according to functional classification, and distribute different functions reasonably on the interface to facilitate users to quickly find the required functions.
(2) Network design plan
In order to fully save and intensively utilize server and network resources, and to better connect and be compatible with existing platforms, this system is intended to be deployed to the server and network environment where the existing platform is located. No separate server and network environment is required. During deployment, the relevant specifications and security requirements of the existing platform or government cloud should be strictly followed to meet the interaction and compatibility requirements between the subsystem and other systems in the government cloud.
(3) Security design plan
After the system is deployed and provides services to the outside world, there may be the following security risks, including: server crashes caused by network attacks and virus attacks, privacy data leakage, service suspension, etc.; data integrity and consistency cannot be guaranteed due to disguised system senior users, business data loss, and other problems. To solve these problems, the platform has planned the following ways to reduce or avoid the occurrence of corresponding risks.
1. Information system security
According to the degree of damage to the system after damage, combined with the relevant requirements of the "Network Security Level Protection Management Measures", this system should be designed and evaluated in accordance with the second level of information system security protection level.
2. Database security
Databases mainly include file-type and database-type. For file-type databases, this project uses map space encryption to ensure the security of file-type databases; for database-type data sources, this project uses the database's own security policies and security mechanisms, and requires the creation of dedicated accounts for storing data, and improves information security by strictly limiting permissions.
3. Regular backup plan
This project regularly backs up system data. Regular data backup is one of the data-level disaster recovery methods. Data-level disaster recovery focuses on data backup and recovery, including data replication, backup, and recovery.
4. Role-based access control
In terms of server security, the platform supports role-based access control and provides a security subsystem in the service manager. Through authentication and authorization based on user identity recognition, access control to services is implemented.
(1) User management
The platform protects service security through role-based access control, where "user management" is used to view and manage all users in the current system, including the administrator account created when accessing the server for the first time. For all users stored in the system, administrator users can add, modify, and delete users.
(2) Role management
Role management is used to view and manage all roles in the current platform. Administrators can add, modify and delete all roles stored in the server, and can also view and modify the basic information, service authorization information and management function authorization information of the role.
(3) The service authorization
platform supports service-level permission control. It can grant role authorization to each service instance separately, or batch authorize multiple service instances. There is a many-to-many relationship between service instances and roles. If the system administrator grants a role access permission, all users associated with the role will have access to the service.
(4) The role authorization
platform supports permission editing for specified roles, including authorization/prohibition of service access and authorization/prohibition of service management functions.
5. User password encryption
To ensure security, a strong password should be used. The password should be more than 8 characters and consist of a mixture of letters, numbers and special characters.
(4) Operation and maintenance design plan
1. System deployment
In order to fully save and intensively utilize server and network resources, and to better connect and be compatible with existing platforms, this system is planned to be deployed in the government cloud environment where the existing platform to be connected is located.
2. Preparation for formal operation
Before the formal operation of this system, the system deployment plan needs to be determined. To ensure the safe and stable operation of the system, it is necessary to entrust a third party to conduct a security level protection assessment (level 2) on the system and optimize and rectify it. It can be officially launched only after all the tests are passed.
3. Daily maintenance
The daily operation and maintenance management of the platform after it is officially put into use mainly includes the adjustment of network information, platform updates, daily maintenance, fault repair and authority management.
In order to facilitate the pilot and related platform operation work, it is necessary to carry out the preparation of platform operation guide documents, formulate an annual training plan, and organize relevant personnel to regularly explain the main functions of the platform and the detailed operation of each functional module during the trial operation to the platform users.
V. Energy saving, environmental protection, fire protection, occupational safety and health
(1) Environmental impact and environmental protection measures
This project is a software development and information system integration project, and the construction does not include civil engineering content. It is a pollution-free project. No harmful waste gas, wastewater, waste residue and other materials will be generated during the construction and operation process, and there will be no pollution to the environment and no negative environmental impact.
(2) Fire prevention measures
After the completion of the project, all software systems will be deployed on the existing network platform. The relevant fire prevention measures will be provided and guaranteed by the platform service provider. The principle of "prevention first, fire prevention combined" will be followed, and relevant national regulations and standards will be strictly implemented.
(3) Occupational safety and health measures
After the completion of the project, all software systems will be deployed on the existing network platform. The relevant occupational safety and health measures will be provided and guaranteed by the platform service provider. All relevant national and departmental regulations and standards will be complied with.
(4) Energy-saving goals and measures
After the completion of the project, all software systems will be deployed on the existing network platform. The relevant energy-saving goals and measures will be provided and guaranteed by the platform service provider.