Researches Of The Mine Safety Monitor System Based On The Data Mining

The application of the technology of data mining in the mine safety monitor systemis investigated and discussed. Aimed at the deficiency of our country's coal safetymining system, complex CAN bus and RFID technology are proposed and used in coalmine safety monitor system and achieve some of the hardware design. This method can'tonly compensate for the traditional cable transmission measurement of gasconcentration in a fixed place of issue of the lack of mobility, but also solve the wirelesssensor networks with limited power supply of the state. It is Combines the merits of bothapproaches can be better monitored.On the software side: First proposed the application of Data Mining fuzzyclustering method and fuzzy evaluation technology for underground division of theregional environmental monitoring and risk levels determined, a new statistic areproposed complex distance measure and similarity measure.MATLAB simulation resultsshow that the method in the coal mine safety monitoring has a potential applicationvalue; Second, application of TSDM method to predicte the gas trend in the future.MATLAB simulation results show that time series Data Ming method for eniviromentalprediction in the coal mine has an important application value; Last, application ofCharacteristic analysis method to optimize the place point of the sensor, breaking thetraditional distribution sensor based solely on"Coal Mine Safety Regulations"method,The level of theory and science to study the sensor's distribution issue and realize theflexible arrangement of the sensor. MATLAB simulation results verify the feasibility ofthe method. However, as conditions and time constraints, there is still much room forimprovement and research.