Mine working face dust hazard online monitoring system and method

Abstract

The invention discloses a mine working face dust hazard online monitoring system and method. The method comprises the following steps: establishing a working face three-dimensional space coordinate model, arranging a total dust sampler at each measurement point to perform dust sampling, obtaining a total dust concentration distribution space rule and a respiratory dust proportion distribution space rule in combination with respiratory dust concentration space distribution, and obtaining a respiratory dust concentration distribution space rule through operation; installing a respirable dust concentration sensor, analyzing to obtain a working face respirable dust concentration time change coefficient, and researching in combination with the working face respirable dust concentration distribution space rule to obtain a space rule that the working face respirable dust concentration changes along with time; and then using a personnel positioning system to monitor the motion trail of operating personnel on the working face in order to complete the online monitoring of the mine dust to the individual operating personnel. The individual dust contact time and the dust receiving amount of amine operator can be monitored on line in real time, and data support is provided for pneumoconiosis early warning.

Description

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AI Technical Summary

Benefits of technology

This technology uses 3 dimensions arranged around an area where it measures how much air pollution affects human bodies differently than previous methods that took place beforehand or did them afterwards. By measuring this quantity overall, these techniques help identify areas where harmful particles are likely causing respiratory issues such as lung cancer.

Problems solved by technology

Technological Problem: Existing techniques for measuring the quantity of harmful particles (PM) present during coal production involve manual sampling or static detection devices that can be expensive and may affect worker safety issues. Additionally, current systems lack accuracy due to their limited range of sensors and potential interference between different sources like noise signals caused by surrounding environments.

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