Intelligent Factory Data Collection System Based on 5G Industrial Gateway

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

 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 offers an intelligent factory data collection system based on 5G industrial gateways, assisting enterprises in building 5G intelligent factories and achieving digital transformation.

The 5G communication network provides reliable communication support for industrial scenarios with its key advantages of low latency, high bandwidth, and massive connectivity.

 By integrating WideIOT's 5G industrial gateway with equipment such as PLCs, instrumentation, CNC machine tools, and industrial robots, real-time data collection from various devices within the factory workshop is achieved. Edge computing and data standardization are performed within the gateway, and the data is then uploaded via the 5G network to workshop dashboards, IoT cloud platforms, and MES systems, enabling unified monitoring of equipment data information. This enhances the intelligence level of manufacturing factories, reduces operational and maintenance costs, and facilitates enterprise digital upgrades.

Functional Advantages:

1. Data Collection and Networking: Enables data collection from equipment across production lines, workshops, and factories, transmitting the data via a 5G network to cloud servers or local upper computers, facilitating rapid equipment access and networking configuration, and improving construction efficiency.

2. Remote Monitoring and Control: Allows for real-time understanding of equipment production process parameters and operational status through mobile terminals such as smartphones and computers, enabling timely handling of abnormal alarms, remote PLC control, and parameter modifications, enhancing response capabilities.

3. Data Sharing and Analysis: Facilitates data sharing and analysis utilization through integration with MES systems, ERP systems, and IoT platforms, enabling real-time understanding of production performance, energy consumption costs, maintenance efficiency, and other process issues, leading to timely optimizations.

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

5. Remote Maintenance: Through device maintenance express lines, engineers can remotely program, debug, upload, and download programs for PLCs located in different regions, improving maintenance efficiency and reducing the need for on-site visits.