Quantitative Belt Scale Data Acquisition and Remote Monitoring System Solution

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

 Particularly in the field of industrial production, 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 equipment, play a vital role in industries such as mining, power, and chemicals.

 They are used for quantitative weighing of bulk materials and transporting them to feeders or AGV robots, characterized by high efficiency and automation. In response, WideIOT has integrated its industrial intelligent gateway with the PLC of quantitative belt scales, enabling real-time data acquisition and remote transmission. This provides robust IoT system support for production management.

Functional Highlights

1. Real-time Monitoring:
   • The system can continuously monitor data changes from the belt scale 24/7, including flow rate, weight, total quantity, as well as equipment voltage and current.
   • Data is visually displayed in the form of charts, allowing managers to grasp production dynamics promptly.
2. Data Cloud Integration:
   • The gateway supports data transmission to cloud platforms or upper computers via 5G/4G/WIFI/Ethernet.
   • It can also integrate data with ERP systems, MES systems, etc.
3. Alarm Functionality:
   • When abnormal conditions are detected, the system immediately issues alerts via WeChat, SMS, or email to notify relevant personnel for prompt handling, thereby avoiding potential safety hazards.
4. Remote Control:
   • Through the cloud platform, managers can remotely start or stop the belt scale from anywhere, significantly enhancing work efficiency and flexibility.
5. Remote Maintenance:
   • Engineers can perform remote PLC programming, debugging, and program uploading/downloading via the device maintenance express line, even when not on-site, thereby improving maintenance quality.
6. Data Analysis:
   • A visual interface is constructed to enable quick querying and analysis of historical data, generating comprehensive and detailed statistical reports.
   • This provides a scientific basis for enterprise decision-making.