An edge computing gateway is an indispensable component in IoT systems. It can connect to various controllers, sensors, robots, machine tools, and other devices to enable device interconnection and data exchange, providing strong support for a wide range of application scenarios. It is widely used in fields such as smart manufacturing, smart water management, and smart cities.

As a critical hub between devices and the cloud, an edge computing gateway deploys computing resources locally at the edge. It enables rapid, autonomous event response and information processing, uploading accurate data to cloud platforms. It provides low-latency, low-cost, secure, and locally autonomous computing services. By processing data locally at the edge, this approach effectively enhances production efficiency and response speed. It enables multi-protocol, multi-device data collection and edge computing for purposes such as device anomaly alerts, real-time device control, and data analysis and management. This has become a popular application in industrial IoT.

The Wutongbolian edge computing gateway can connect various sensors, PLCs, instruments, industrial robots, CNC machine tools, and other devices. It collects real-time device and environmental data such as temperature, humidity, pressure, flow rate, water level, and switch status. It performs real-time data processing and cloud communication, converting multiple protocols and packaging data into standard formats. This enables reading, writing, and control management across various systems and devices. Gateway Functions

1. Supports data filtering, grouping, alarm reporting, jump-change triggering, and formula calculations.
2. Standardizes data from various protocols and constructs digital twin models to enable standardized applications.
3. Supports status queries such as system status, module status, network connection status, and application status.
4. Supports heartbeat packet transmission and automatic reconnection upon disconnection.
5. Provides rich diagnostic command interfaces to enable local self-diagnostics.
6. Supports local and remote program upgrades, enabling rapid product feature releases and iterations.
7. Supports both local and remote configuration of data collection projects.
8. Provides comprehensive and detailed logging capabilities for quick troubleshooting and diagnostics.