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Study on Mine Ventilation System Evaluation and Mine Safety Forecast System

Author: TanJiaLei
Tutor: LiChongShan
School: Shandong University of Science and Technology
Course: Safety Technology and Engineering
Keywords: Mine Ventilation System Fuzzy Comprehensive Evaluation BP network Warning Index system
CLC: TD724
Type: Master's thesis
Year: 2005
Downloads: 825
Quote: 8
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Abstract


In the production of the mine, the mine ventilation system as one of the important production system, the maintenance of normal production and mine safety production plays an extremely important role; whether a mine ventilation system fine of the mine energy saving and disaster resilience. has a very important role. Therefore, how the judge to determine the pros and cons of a mine ventilation system, you must establish a reasonable, effective mine ventilation system evaluation ways and means, to some extent on the type of problem explored and preliminary research. In the research process, mainly based on the fuzzy comprehensive evaluation and artificial neural network method, in-depth analysis of actual mine ventilation system that suits the current field applications initially established under the premise of the mine ventilation system index for judging the judge warning mode and method; basis for the establishment of the mine ventilation system to judge the early warning method of re-establishment of the mine ventilation system evaluation indicators and mine ventilation system of early warning indicators system and determine the corresponding membership functions and the corresponding right to re-value; final , combined with examples further verify the correctness and feasibility of the method of the comprehensive evaluation of mine ventilation system warning. Warning mode and method of judging the mine ventilation system and study several possible the judge warning, one of the ways is mainly in accordance with the specific requirements of the rules and regulations of the mine ventilation system indicators, closely integrated empirical data, measured according to the mine ventilation resistance data, mine the measured technical indicators as well as mine ventilation system network solver results warning to judge the condition of the mine's ventilation system of production and systems research. In this judge warning method of research, production of early warning indicators of the state of the mine ventilation system security as well as the safety of the mine ventilation system hidden danger solutions, on this basis, and the preparation of computer software to be initially realized. In the process of the preparation of the computer software, the main use of VB and MATLAB language to the preparation of the mine ventilation system single indicators, multiple indicators and mine ventilation system evaluation and early warning applications using BP network. Mine ventilation system to judge warning BP network software, the authors propose the arc tangent function as the activation function of ATN BP network. This form of BP network relative to traditional BP network, training and high prediction accuracy, especially suitable for the BP network has a small amount of sample classification analysis process. The use of the preparation of the application software systems, the authors carried out of ore mine ventilation Sanhekou system the judge warning to get satisfactory results.

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CLC: > Industrial Technology > Mining Engineering > Mine safety and labor protection > Mine ventilation > Ventilation system, ventilation and equipment
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