Gong-kuang zidonghua (Jan 2018)
Research on remote intelligent monitoring and early warning system for coal and gas outburst
Abstract
For the demand of automation and accuracy of coal and gas outburst early warning, a remote intelligent monitoring and warning system for coal and gas outburst was developed. The system constitution was introduced as well as key technologies including signal monitoring, interference recognition, signal transmission and early warning rules. The system takes sound acoustic emission, electromagnetic radiation and gas concentration as early warning indexes, and realizes remote monitoring and comprehensive early warning of sound acoustic emission, electromagnetic radiation and gas signals during outburst evolution process. Meanwhile, the system can automatically recognize and filter interference signals according to opening or stopping information of electromechanical equipments, so as to improve early warning accuracy of coal and gas outburst. The application result shows the system has high early warning accuracy, which can capture coal and gas outburst risk information in advance of 8-24 hours.
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