IOT News

In the production and manufacturing process of intelligent equipment, a substantial number of Programmable Logic Controllers (PLCs) and Computer Numerical Control (CNC) machine tools are typically employed.

 Under traditional production management models, systems such as Manufacturing Execution Systems (MES) and Supervisory Control and Data Acquisition (SCADA) are primarily relied upon to collect, monitor, and analyze vast amounts of data on the production line, including production metrics, equipment status, and product quality. These systems facilitate localized production management and real-time control for enterprises.

However, with business expansion and technological advancements, manufacturers demand more in-depth analysis and processing of data from PLCs and CNC machine tools, along with the capability for remote and convenient operations.

 Consequently, many manufacturers are deploying Industrial Internet of Things (IIoT) platforms to centralize data management and perform visual analysis in the cloud. In response, WideIOT offers an efficient and reliable Industrial IoT data acquisition solution to empower intelligent equipment manufacturers in achieving digital transformation.

Through the WideIOT Industrial Smart Gateway, we can establish a flexible and stable Industrial IoT connectivity architecture that tightly integrates production site equipment with cloud platforms.

 This device boasts extensive protocol connectivity capabilities, such as collecting data from Siemens PLCs via the S7 protocol, from FANUC machine tools through OPC UA, and from smart instruments and sensors using the Modbus protocol. The collected data is then transmitted to the IoT platform via MQTT.

Regarding data uploading to the cloud, the Industrial Smart Gateway provides transmission methods such as MQTT and Modbus protocols.

 In response to customized message format requirements from clients, WideIOT, leveraging its robust technical support, offers structured message formats. This ensures that each data point has its own name, type, and value, making data parsing and processing more convenient. It provides high readability, structure, flexibility, and interoperability for data transmission, meeting the real-time data transmission requirements of the discrete manufacturing industry.

By centralizing data in the cloud platform for unified processing and visual analysis, enterprises can monitor production lines in factories worldwide in real-time, identify fault anomalies, and access production data anytime and anywhere for timely management and control. This plays a crucial role in safeguarding a secure and stable production order, protecting equipment assets, reducing downtime losses, and enhancing production continuity.