Multi-agent cooperative monitoring system for coal conveying belt of thermal power plant

Abstract

The invention provides a multi-agent cooperative monitoring system for a coal conveying belt of a thermal power plant. The multi-agent cooperative monitoring system comprises a guide rail robot, AI camera devices, distributed sensors and an equipment and facility patrol system. The guide rail robot is slidably connected with a guide rail through a sliding device and comprises a control system, a detection system, a power supply and bearing system and a communication system, wherein the detection system, the power supply and bearing system and the communication system are connected with the control system. The AI camera devices are fixedly mounted on a supporting frame above the coal conveying belt. The number of the distributed sensors is multiple, and the multiple distributed sensors are arranged at preset positions of a coal conveying belt system correspondingly. The guide rail robot, the AI camera devices and the distributed sensors are in communication connection with the equipment and facility patrol system. According to the multi-agent cooperative monitoring system, the coal conveying belt is cooperatively monitored by using a plurality of agents, so that unmanned inspection is achieved, and a plurality of faults can be accurately monitored and identified.

Description

technical field [0001] The invention relates to the technical field of fault monitoring, in particular to a multi-agent cooperative monitoring system for a coal conveying belt in a thermal power plant. Background technique [0002] Thermal power plants mainly carry out coal stacking and reclaiming operations through coal conveyor belts. When the coal conveying belt is stacking and picking up coal, it is very prone to various failures. For example, belt deviation, tearing, coal leakage, abnormal temperature of belt conveyor and idler equipment, and large vibration of belt motor. These failures will cause damage to important parts of the belt, resulting in a decrease in the coal supply of the unit, and will also generate dust that will cause environmental pollution and damage the occupational health of on-site workers. [0003] The existing detection methods for belt deviation or tearing generally include three categories: the first type is manual inspection, this method is ...

AI Technical Summary

Problems solved by technology

However, this method brings many problems. First, due to the large number of monitoring points and heavy workload of the belt conveyor, there are often missed detections and false detections; Responses can only be made after the occurrence, and all-weather real-time monitoring cannot be realized; the third is that the working environment is in a closed state, with high noise, dust, and difficult air dredging, which will cause certain hazards to the occupational health of inspection personnel

Therefore, the traditional manual inspection method has high work intensity, low reliability, and certain occupational health hazards, and it is difficult to adapt to the new situation and new requirements of modern thermal power plant safety production

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