CO data-based fuzzy clustering recognition method for fully mechanized coal mining face operation procedure
A fully mechanized mining face, fuzzy clustering technology, applied in the direction of character and pattern recognition, pattern recognition in signals, instruments, etc., can solve problems such as no in-depth mining, achieve clustering accuracy improvement, and take a long time Effect
Active Publication Date: 2020-04-03
TIANDI CHANGZHOU AUTOMATION +1
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[0002] The coal mine safety monitoring system records the monitoring data of sensors such as CH4, CO, and wind speed in real time. However, it has not been deeply excavated. Taking spontaneous combustion as an example, mine natural fire disasters occur frequently in mines. According to coal mine safety regulations, spontaneous combustion disasters in mines are usually The CO gas concentration of the safety monitoring system is used as the monitoring indicator for daily monitoring indicators, and an alarm limit of 24ppm is specified as the threshold
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[0043] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.
[0044] The present invention provides a fuzzy clustering identification method for fully mechanized mining face operation procedures based on CO data, which includes collecting original CO concentration time series, wavelet threshold denoising, wavelet decomposition, reconstructing wavelet decomposition coefficients, solving the energy of each frequency band, and constructing features Vector and pattern recognition, the process is as follows figure 1 shown.
[0045] 1. Select the fully mechanized mining face as the research object, collect the CO concentration in the upper corner of the working face, and record the CO concentration time series cu...
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The invention relates to a CO data-based fuzzy clustering recognition method for a fully mechanized coal mining face operation procedure. The CO data-based fuzzy clustering recognition method comprises the steps of collecting an original CO concentration time sequence, denoising a wavelet threshold value, carrying out wavelet decomposition, reconstructing a wavelet decomposition coefficient, solving energy of each frequency band, constructing a feature vector and carrying out pattern recognition. According to the CO data-based fuzzy clustering recognition method, the concentration time sequence in the monitoring system effectively corresponds to the coal mining process, so that the coal mining process is identified on the basis of CO data analysis, and engineering technicians of a coal mine are helped to master and judge the real-time fully-mechanized coal mining operation condition of a fully-mechanized coal mining face more timely and make different emergency plans according to the CO emission characteristics in different stages, and support is provided for subsequent classified early warning in different processes.
Description
Technical field: [0001] The invention relates to the technical field of coal mine safety, in particular to a fuzzy clustering pattern recognition of fully mechanized mining face operating procedures based on CO data of a safety monitoring system. Background technique: [0002] The coal mine safety monitoring system records the monitoring data of sensors such as CH4, CO, and wind speed in real time. However, it has not been deeply excavated. Taking spontaneous combustion as an example, mine natural fire disasters occur frequently in mines. According to coal mine safety regulations, spontaneous combustion disasters in mines are usually The CO gas concentration of the safety monitoring system is used as the monitoring index for daily monitoring, and an alarm limit of 24ppm is specified as the threshold. However, the CO gas in the corner of the coal mine underground, especially the coal spontaneous combustion that needs to be monitored, does not only come from the residual coal ...
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IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/04G06F2218/08G06F2218/12G06F18/23213
Inventor 邢震王海波姚超修武福生蒋泽韩朝晖屈世甲何敏张卫国张炜谢浩
Owner TIANDI CHANGZHOU AUTOMATION