Intelligent inspection and detection method for coal conveying belt conveyor in coal conveying bin area

Abstract

The invention discloses an intelligent inspection and detection method for a coal conveying belt conveyor in a coal conveying bin area. The intelligent inspection and detection method comprises a set of single track, a mobile robot, a set of automatic rotating holder, a set of sound sensor, a set of gas detector and temperature and humidity sensor, four sets of autonomous charging stations, a set of field wireless communication deployment system and a background processing server. The problems that a traditional inspection system is low in integration and intelligence degree, and intelligent processing and judgment of various information on site, especially artificial intelligence detection of belt defects on site, are difficult to achieve are effectively avoided; subjectivity, hysteresis and possible accident omission caused by interpretation depending on monitoring personnel in traditional inspection are avoided, and heavy loss caused by breakage of the belt is avoided through belt defect detection.

Description

technical field [0001] The patent of the invention relates to industries such as power plants, iron and steel metallurgy, and coal chemical industry, and particularly relates to an intelligent patrol inspection method for a coal conveying belt conveyor in a coal conveying bunker area. Background technique [0002] The existing patrol inspection system is mainly used as a mobile monitoring platform, that is, the main function is to use the mobile robot as the carrier, integrate cameras, infrared cameras and other sensors, and realize the information collection of on-site environmental video and temperature, relying on the background personnel not to monitor Intermittent manual review of monitoring video, on-site return data and other means to realize the discovery of on-site problem points. Affected by the subjective factors of the background personnel, the reliability is low and the real-time performance is poor, so it is difficult to avoid the occurrence and response of saf...

AI Technical Summary

Problems solved by technology

Affected by the subjective factors of the background personnel, the reliability is low and the real-time performance is poor, so it is difficult to avoid the occurrence and response of safety accidents in a timely and effective manner

[0003] The existing inspection system has a low degree of integration, and various sensors only realize the return of information, but it is difficult to realize the intelligent processing and judgment of various information on site; on the one hand, there is a lack of intelligent video analysis background algorithm access, and the returned live video data It can be judged by manual visual inspection; secondly, due to the complex working conditions on site and light changes, the general traditional visual detection algorithm has poor stability, and there are a large number of false positives and false positives; the third is for equipment leakage, wear and tear during belt use Defects such as cracks need to be implemented using artificial intelligence detection technology based on deep learning. The technical barriers are high and difficult, and it is difficult to implement engineering

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