Internal network closed-loop industrial instrument image recognition, data local storage, and Real-time monitoring solution

As a professional provider of IoT data acquisition solutions and an expert in industrial IoT data acquisition, the editor of Shanghai Data Acquisition IOT Technology Co., Ltd， (daq-iot) hereby presents the following introduction, and sincerely welcomes discussions and exchanges. Supported Communication Interfaces: CAN, RS485, Mbus, 4–20mA, Profibus, CC-Link, HART, digital I/O, etc. Industrial Protocols: Modbus RTU/TCP, HJ212, IEC104, DLT645, DLMS, IEC61850, MQTT, etc. Mail:export@daq-iot.com

As a professional provider ofIoT,Data Acquisition, andsolution,Data Collection IoTThe editor daq iot would like to introduce the following content here, and sincerely welcome everyone to discuss and exchange ideas.

In industrial fields such as chemical, energy, and manufacturing, the data generated by traditional gas meters, flow meters, pressure gauges, and other equipment is highly sensitive. These data involve core information such as production process parameters, equipment operating status, etc. Once leaked, it may cause safety accidents or economic losses. Therefore, companies have strict control requirements for data security, and all collected data is strictly prohibited from accessing the public network and can only be circulated within the company's internal network environment.

This article will explore how to achieve automatic data recognition and storage in a designated database through non-contact image acquisition.

1、 Core process
1. Image acquisition stage
Equipment installationInstall the high-definition intranet camera (also explosion-proof) provided by our company in front of the instrument screen, using a bracket fixing device to ensure that the shooting angle is vertical and unobstructed. The camera is equipped with a high-resolution camera and a fill light module to adapt to different lighting environments.
Scheduled shootingTake photos on time according to the preset frequency (which can achieve second level response) to complete high-definition image acquisition. For dark environments, the fill light function ensures image clarity.

2. Data transmission stage
transmission methodUsing WiFi or Ethernet cameras (to transmit the image Real-time to the local server), the transmission process is encrypted to ensure data security. Meanwhile, throughEdge ComputingPreprocessing techniques such as image compression and denoising effectively reduce server load and improve system response speed.

3. Data recognition stage
image processingDeploy dedicated recognition software for data acquisition IoT instruments on the server side to preprocess the received images, including grayscale, binarization, edge detection, and other operations. Highlight the digital area of the dashboard, select the required data, and perform recognition.
4. Data management and display
local storage：
1: The identified structured data is stored in a designated database (such as Mysql/SQL server);
2: It can be sent to a specified software platform (supports) through the socket interfaceReal-timeTCP/UDPProtocol、 HTTPProtocol、MQTTProtocol）；
3: You can followmodbusRTUOr output modbusTCP Protocol;
Platform Display:
Support smooth accessSCADA/MES and other industrial systems can remotely monitor instrument status and promptly detect anomalies; Structured data stored in a local database can be quickly retrieved from multiple dimensions and traced back to historical data.

2、 Application Cases

On site image and recognition effect of remote gas meter collection

Display and installation diagram of recognition effect of intelligent volume correction instrument

The local image recognition scheme achieves intelligent collection and application of industrial instrument data through a localized data processing system, while ensuring data security, providing reliable data support for energy management and industrial monitoring.