Coal mine safety evaluation system based on combination clustering
A coal mine safety and evaluation system technology, applied in the direction of instruments, data processing applications, calculations, etc., can solve the problems of ignoring correlation, unable to evaluate coal mine safety, and high blasting safety factor
Inactive Publication Date: 2013-05-08
HENAN POLYTECHNIC UNIV
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The relationship between these factors is not completely independent, and there may be mutual influence between the two factors. For example, the safety factor of underground blasting in mines with good gas and dust control effects may be higher
Most of the existing coal mine safety evaluation systems consider one or two of these factors alone, and cannot conduct a comprehensive evaluation of coal mine safety; in addition, when conducting data analysis, each factor is also considered separately, thus ignoring the above factors. The relevance of the problem, thus causing the occurrence of major mine accidents
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[0018] Such as figure 1 As shown, in the mine safety data input module, input 7 influencing factors of ventilation safety monitoring, transportation and lifting, gas and dust prevention, mine fire prevention, underground blasting safety, mine roof fall prevention, and mine water penetration prevention, and data analysis based on joint clustering The module performs cluster analysis on these data according to the clustering method proposed by the present invention, and outputs the final analysis result in the result output module.
[0019] The data analysis module based on joint clustering is the core part of the system, and the specific data processing process is as follows:
[0020] (1) Data preparation: The influencing factors of ventilation safety monitoring, transportation and lifting, gas and dust prevention, mine fire prevention, underground blasting safety, mine roof fall prevention, and mine water penetration prevention are respectively recorded as X 1 , X 2 , X 3 ,...
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The invention provides a coal mine safety evaluation system based on combination clustering. The system comprises a mine safety data input module, a data analysis module based on combination clustering and a result output module. The mine safety data input module receives mine safety state data submitted by a user. The data analysis module based on combination clustering carries out data analysis in a combination clustering method according to the mine safety state data. The result output module displays data analysis results, and auxiliary basis is provided for safety management decision of coal mine enterprises. After the coal mine safety evaluation system is used, grading results of safety evaluation of coal mines which belong to the coal mine enterprises can be analyzed, general management of coal mine safety evaluation is achieved, and the evaluation results can provide important technical basis for coal mine enterprise management decision.
Description
technical field [0001] The invention belongs to the field of coal mine safety. Background technique [0002] Accurate and comprehensive assessment of mine safety status is a very critical link in the coal mine production process. The safety status of coal mines is affected by many factors, such as ventilation safety monitoring, gas and dust prevention, underground blasting safety, mine roof fall prevention, mine water penetration prevention, etc. The relationship between these factors is not completely independent, and there may be mutual influence between the two factors. For example, the safety factor of underground blasting in mines with good gas and dust control effects may be higher. Most of the existing coal mine safety evaluation systems consider one or two of these factors alone, and cannot conduct a comprehensive evaluation of coal mine safety; in addition, when conducting data analysis, each factor is also considered separately, thus ignoring the above factors. T...
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Inventor 刘永利贾宗璞杨立身雒芬韩光伟
Owner HENAN POLYTECHNIC UNIV