Functional Characteristics and Application Scenarios of Edge Computing IoT Gateways

In the era of highly developed industrial automation, a diverse array of devices generates massive amounts of data, placing significant operational pressure on centralized cloud computing resources.

 However, this has also driven the development of edge computing technology. Edge computing IoT gateways deploy computing resources at the device site, providing data processing, storage, and applications near the network edge to enable intelligent connectivity and efficient management of industrial devices.

WideIOT has introduced an edge computing IoT gateway that integrates data acquisition and edge computing capabilities for devices such as PLCs, instrumentation, industrial robots, CNC machine tools, and sensors.

 It also supports communication via 5G/4G/WIFI/Ethernet, enabling visual monitoring, management, and control on cloud platforms and local upper computers to optimize production management.

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Functional Characteristics

1. Integrated Access: Through a rich protocol library built into the industrial intelligent gateway, it achieves integrated access to production equipment, breaking down data silos within enterprises and providing transparency into workshop production status.

    This makes it more efficient and convenient for enterprises to build digital systems.

2. Discontinuous Transmission Resumption: This feature addresses data loss caused by production network interruptions.

    When the network is disconnected, data is automatically stored and then uploaded from the data breakpoint once the network is restored, ensuring data integrity and security.

3. Edge Computing: Automatically performs functions such as intelligent data collection, filtering, alarm calculation, jump triggering, formula calculation, and grouping strategies at the edge side, reducing the computational pressure on cloud servers and bandwidth costs.

4. Remote Operation and Maintenance: In conjunction with device maintenance express lines, it enables remote configuration, debugging, diagnosis, and program updates for异地 (off-site) devices, improving operational efficiency and reducing maintenance costs.

Application Scenarios:

1. Production Monitoring and Control: Enables monitoring and control of the operational status and process parameters of multiple devices, facilitating quick identification of equipment faults and maintenance to ensure product quality and production efficiency.

2. Connection to MES Systems: The edge computing IoT gateway serves as a data hub between PLCs, SCADA, and Manufacturing Execution Systems (MES), providing reliable data sharing and real-time interaction.

3. Formation of Cloud-Edge Integrated Architecture: Edge computing and cloud computing form a cloud-edge integrated computing architecture, which plays a crucial role in distributed and discrete industrial models, enabling centralized data sharing and coordinated effects.