IOT News

In current industrial Internet of Things (IIoT) systems, data processing centers represented by cloud computing and edge computing are increasingly being applied. Cloud computing is a mode that centralizes distributed data for computational processing, while edge computing processes data locally. The combination of the two optimizes the allocation of computational resources and enhances data analysis capabilities. In response, WideIOT offers a solution where edge computing gateways communicate with cloud platforms in real-time using the MQTT protocol.

The WideIOT edge computing gateway can connect to industrial devices such as Programmable Logic Controllers (PLCs), sensors, CNC machines, and industrial robots, enabling data collection through serial and network port protocols.

 It also provides an integration solution for Input/Output (I/O) smart terminals with edge computing gateways to facilitate data access. The gateway can collect real-time device and environmental data, such as temperature, humidity, pressure, flow, water level, and switch statuses. It converts various protocols and encapsulates the data into the MQTT standard format for connection to the cloud platform, enabling read, write, and control management across systems and devices.

With edge computing, faster monitoring of device statuses and process parameters can be achieved, enabling device anomaly alerts, real-time device control, and data analysis management.

 This eliminates delays and provides insights that help administrators and engineers make better decisions. In the cloud computing center, more powerful data visualization analysis support is available, such as the construction and display of data dashboards and predictive maintenance support, enhancing the value of data resources.

Featured Functions

1. Data Filtering, Grouping, Alarm Reporting, Jump Triggering, and Formula Calculation: The gateway can filter, group, and report alarms based on data, trigger actions on data jumps, and perform formula calculations.

2. Protocol Data Standardization and Physical Model Construction: It standardizes data from various protocols and constructs physical models for standardized applications.

3. Status Query Support: The gateway supports queries on system status, module status, network connection status, and application status.

4. Heartbeat Packet Transmission and Automatic Reconnection: It supports sending heartbeat packets for detection and automatically reconnects in case of disconnection.

5. Rich Diagnostic Command Interfaces: The gateway offers a variety of diagnostic command interfaces for local self-diagnosis.

6. Local and Remote Program Upgrades: It supports both local and remote program upgrades for rapid product feature releases and iterations.

7. Local and Remote Configuration of Data Collection Projects: The gateway allows configuration of data collection projects through both local and remote methods.

8. Comprehensive and Detailed Logging: It provides complete and detailed logging functions to facilitate quick troubleshooting and diagnosis.