
Coal mining is subject to strict planning to prevent over-capacity production. However, in actual production, there have been persistent issues of over-capacity production in coal mines. Factors such as individual coal mines pursuing maximum profits, a chaotic coal market, and inadequate regulatory efforts to control over-capacity production in coal mines all contribute to the incentives for excess production.
This poses severe hazards to coal mine operations and the coal industry market, including disrupting the coal market, overloading production and other equipment, affecting safety conditions in coal mines, undermining the rational utilization and development of coal resources, and reducing tax quality and work efficiency.

To address the issue of over-capacity production in coal mines, one powerful solution is to adopt advanced technologies to improve coal production management mechanisms and strengthen production volume supervision during the coal mining process.
The Coal Production Remote Monitoring System is precisely such a system solution that utilizes cutting-edge high technologies. It employs advanced sensor technology, data acquisition technology, AI video surveillance technology, and remote monitoring technology to achieve real-time monitoring and remote management of the coal production process.
The primary objective of the system is to improve the supervision mechanism of coal production, avoid over-capacity production, and ensure a safe, efficient, and compliant production process, providing strong support for the sustained and healthy development of the coal industry.
Based on Internet of Things (IoT) technology and information communication technology, the Coal Production Remote Monitoring System integrates functions such as data acquisition, transmission, processing, and visual dynamic display to achieve real-time remote monitoring of coal production volume. The system installs specialized automated electronic weighing equipment at key locations in coal mines, such as underground raw coal conveyors and entrances/exits, to accurately collect real-time production data from the source.
The collected data is transmitted over long distances through the coal mine's information network to the surface interface, where it is processed by instruments and displayed in real-time, including current real-time dynamic production volume, shift production volume, and the transportation volume of each conveyor line.
Additionally, the production monitoring system can remotely transmit coal production data to monitoring hosts and ground control centers via TCP/IP protocol, enabling comprehensive, real-time, and remote monitoring of coal mine production volumes.
Furthermore, the system is equipped with AI cameras to monitor and identify the behavior of on-site personnel and the operational status of equipment, preventing cheating behaviors using measurement devices and further ensuring the accuracy of production data.
The system can also collect coal mine electricity consumption data and interface with weighbridge systems to analyze the relationship between coal production and electricity consumption. If the data relationship is abnormal, it indicates non-compliant production practices, making production volume supervision more comprehensive.

The application of the Coal Production Remote Monitoring System not only significantly improves the efficiency and accuracy of coal mine production volume supervision but, more importantly, prevents over-capacity production and improves the coal production supervision mechanism.
Firstly, the Coal Production Monitoring System automatically and continuously weighs and collects data in real-time, with data accuracy unaffected by human factors. Simultaneously, the collected data consists of basic raw data that is strictly encrypted and protected, ensuring its authenticity, reliability, and comprehensiveness in reflecting coal mine production conditions.
Secondly, the Coal Production Monitoring System boasts a high degree of intelligence, with AI cameras automatically monitoring and identifying, self-monitoring, self-diagnosis, and automatic alarms in case of faults or overproduction, further blocking avenues for over-capacity production in coal mines.
Ultimately, the Coal Production Monitoring System provides accurate and scientific data analysis and statistics for application by coal mine enterprises and relevant regulatory authorities. This enables regulatory departments to promptly identify issues in coal mine production and take effective measures for intervention, providing strong support for enhancing coal mine supervision, preventing excessive production, and promoting the sustained and healthy development of the coal industry.
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