Early warning method and system for on-line monitoring and analysis of mine ventilation system

Abstract

The invention discloses an early warning method for on-line monitoring and analysis of a mine ventilation system. The method comprises the following steps of: step 1, installing a ventilation monitoring device at an underground key point, wherein the ventilation monitoring device transmits the monitored relevant information to a ground monitoring center; step 2, converting wind speed data into wind quantity data according to the wind speed and wind pressure changes monitored at the monitoring places; establishing a ventilation network resolving model and realizing dynamic resolving of wind quantity distribution of the underground ventilation system; and step 3, dynamically calculating the reliability evaluation indicator of the ventilation system based on the real-timely monitored and resolved results of the ventilation network, and analyzing the possibly existing safety hazards in the ventilation system and sending out alarms. According to the method and system provided by the invention, dynamic resolving can be conducted according to the real-time change of the underground, the wind quantity, the wind speed and the like of various laneways can be clearly, intuitively and dynamically displayed on a ventilation system diagram, thus, the ventilation management staff can conveniently know the ventilation situations of various laneways of the underground in real time; and meanwhile, early warning of the ventilation situation of underground laneways and ventilation safety situation of mining working face can be realized, thus, scientific management tools and advanced technical means can be provided for ventilation safety management and safe production of mines.

Description

technical field [0001] The invention relates to an on-line monitoring and analysis early warning method of a mine ventilation system, and also relates to a system for realizing on-line monitoring and analysis of the mine ventilation system. Background technique [0002] At present, the number of wind speed sensors and wind pressure sensors related to mine ventilation monitoring in my country is relatively small, and the effective monitoring of the entire mine ventilation network cannot be realized. It mainly relies on manual wind measurement and manual inspection, which has a large workload, low efficiency and reliability. Poor safety, often responding to accidents passively, unable to promptly and proactively discover hidden dangers of ventilation safety. In addition, the current ventilation system simulation software at home and abroad is single-machine serialization, and the program cannot be interconnected with network-based monitoring and monitoring systems. The network ...

AI Technical Summary

Problems solved by technology

[0002] At present, the number of wind speed sensors and wind pressure sensors related to mine ventilation monitoring in my country is relatively small, and the effective monitoring of the entire mine ventilation network cannot be realized. It mainly relies on manual wind measurement and manual inspection, which has a large workload, low efficiency and reliability. Poor safety, often responding to accidents passively, unable to promptly and proactively discover hidden dangers of ventilation safety

In addition, the current ventilation system simulation software at home and abroad is single-machine serialization, and the program cannot be interconnected with network-based monitoring and monitoring systems. The network calculations are static, lagging, and non-real-time, and cannot be eliminated in time. Major safety hazards in coal mines and the purpose of avoiding major accidents in coal mines

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