In this era of highly developed informatization, the real-time nature and accuracy of data have become critical factors for enterprise operations.

 Particularly in the industrial production sector, efficiently and accurately collecting and analyzing various types of data on production lines has become an urgent issue for enterprise managers.

Quantitative belt scales, as crucial metering devices, play a vital role in industries such as mining, power, and chemicals.

 They are used for quantitative weighing of bulk materials and transferring them to feeders or AGV robots, characterized by high efficiency and automation. In response, by integrating Wutongbolian industrial intelligent gateways with the PLCs of quantitative belt scales, real-time data acquisition and remote transmission of belt scale data have been achieved, providing robust IoT system support for production management.

Functional Highlights

1. Real-time Monitoring: The system can continuously monitor data changes from belt scales 24/7, including flow rate, weight, total quantity, and equipment voltage and current.

    The data is visually displayed in charts, enabling managers to grasp production dynamics promptly.

2. Data Cloud Upload: The gateway supports data transmission to cloud platforms or upper computers via 5G/4G/WIFI/Ethernet, and can also integrate with ERP systems, MES systems, etc.

3. Alarm Functionality: Upon detecting abnormal conditions, the system immediately triggers alarms and notifies relevant personnel via WeChat, SMS, or email for prompt handling, thereby avoiding potential safety hazards.

4. Remote Control: Through the cloud platform, managers can remotely start and stop belt scales from anywhere, significantly enhancing work efficiency and flexibility.

5. Remote Maintenance: Utilizing the device maintenance express lane, engineers can perform remote PLC programming, debugging, and program uploading/downloading without being on-site, improving maintenance quality.

6. Data Analysis: A visual interface is constructed to facilitate quick querying and analysis of historical data, generating comprehensive and detailed statistical reports to provide a scientific basis for enterprise decision-making.