Smart Factory Data Collection System Based on 5G Industrial Gateway

The construction of a 5G smart factory encompasses various aspects, including 5G network construction, industrial network interconnection, edge computing deployment, and business system construction.

 It aims to guide trends in industrial automation, informatization, and intelligence, promoting the quality improvement, cost reduction, efficiency enhancement, green development, and safety of traditional industries. In this context, WideIOT provides a smart factory data collection system based on a 5G industrial gateway, assisting enterprises in building 5G smart factories and achieving digital transformation.

The 5G communication network offers significant advantages such as low latency, high bandwidth, and massive connectivity, providing reliable communication support for industrial scenarios.

 By connecting devices such as PLCs, instrumentation, CNC machine tools, and industrial robots through the WideIOT 5G industrial gateway, various data from the factory workshop can be collected in real-time. After performing edge computing and data standardization within the gateway, the data is uploaded to workshop dashboards, IoT cloud platforms, and MES systems via the 5G network, enabling unified monitoring of equipment data information, enhancing the intelligence level of manufacturing factories, reducing operational and maintenance costs, and facilitating enterprise digital upgrades.

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Functional Advantages

1. Data Collection and Networking: It enables data collection from equipment within production lines, workshops, and factories, transmitting the data to cloud servers or local upper computers via the 5G network.

    This facilitates rapid equipment access and networking configuration, improving construction efficiency.

2. Remote Monitoring and Control: Through mobile terminals such as smartphones and computers, users can monitor equipment production process parameters and operational status anytime and anywhere, promptly addressing abnormal alarms, and implementing remote PLC control and parameter modifications to enhance responsiveness.

3. Data Sharing and Analysis: By sharing data with MES systems, ERP systems, and IoT platforms, it enables data sharing and analysis, providing real-time insights into production performance, energy consumption costs, maintenance efficiency, and other process issues for timely optimization.

4. Data Dashboards: Users can customize data dashboards, such as production dashboards, operation and maintenance dashboards, equipment dashboards, and factory dashboards, to facilitate quick access to information of interest.

5. Remote Maintenance: Through the equipment maintenance express lane, engineers can perform remote programming, debugging, and program uploading/downloading operations on remote PLCs, improving maintenance efficiency and reducing business trips.