Study On The Mine Methane Sensor Optimal Placement

To timely and effectively monitor coal gas, methane sensor arrangements modesare of crucial importance. Currently, arrange parameters proposed by coal mine safetyregulations and correlative specifications mostly originate from experience and arechiefly concerned with high risk points, namely, methane safety security concerns,where disaster factors are easy to couple, however, the distance between two points,points density and spatial distribution etc, are always ignored, Which led to the risk inmethane forewarning. Therefore, study the reasonable, economic and meeting warningneeds methane sensor placement are of significant value in enhancing monitoringsystem performance and preventing the occurrence of major gas accidents.The topic of this research is the optimal placement of coal gas monitoring points incomplexity ventilation roadways. Based on the relevant literature reviewed andsummaries, the following subjects, which are the model modeling of methane sensoroptimal placement in complexity ventilation roadway, an efficient algorithmconstruction for solving models and development of decision supporting system formethane sensor placement are innovatively studied, by the techniques of Shannonentropy, analytic hierarchy process model, facilities covering location models, TabuSearch Algorithm (TS), Ant Colony Algorithm (ACA), hybrid Pareto Ant ColonyAlgorithm (HPACA) and spatial data processing, in order to provide some new methodsand ideas about mine methane sensor optimal placement.(1) The assessment index system and the risk evaluation model which based oninformation entropy of gas accumulation in a mine ventilation system are established bythe techniques of safety evaluation method in the field of system engineering anduncertainty theory, on the basis of characteristics of airflow, gas emission and migrationin the airway. Taking Shanxi Beiru Coal Mine for an example, the feasibility of theinformation entropy risk assessment approach is confirmed, and the law of the gasaccumulation is proved effective.(2) It is the first time to introduce the facility location theory into the research onmethane sensor optimal placement. A methane sensor layout mode of comprehensivelyconsidering the sensor monitoring coverage and the methane safety impact points areproposed based on the probing into the facility location characteristics of methanesensor and the thinking of combination of the macroscopic model and the microscopicone. Four optimization models of methane sensor placement in different location targetswere established by means of graph theory, set covering theory and linear programming method. Partition hierarchical Location model of methane sensor was proposedbased on the typical models. The concrete example validations of models applicationand treatment methods are given in the thesis.(3) In view of the difficulty of the exact algorithm in solving the models ofmethane sensor placement, a three-stage Hybrid Ant Colony optimization Algorithmmethod combined with column reduce algorithm, Tabu Search (TS) and ant colonyoptimization algorithm (ACA) was designed. The combination frame, strategy design,the processing of constrained conditions and solution procedure are discussed in detail.Application of actual calculation example verified the feasibility, effectiveness andadvancement of the model solving algorithm.(4) The decision supporting system is designed and developed for methane sensorplacement based on GIS. Key function modules are developed based on the mineventilation network which established by the GIS geometric network model, in this waythe development difficulty of the system was reduced, good result with the applicationin a real mine is hence forth obtained.