Study On The Knowledge Of Mine Inrush Water Based On Laser Spectroscopy Technology

In today’s society the main source of energy is coal, and coal are mostly obtained from underground mining. This makes the coal mining in our country is always a dangerous industry, the safety of the whole industry has been questioned Mine water inrush occurred very frequently, once the water inrush, will flood the roadway, endanger the lives of the workers underground, also will bring different degree of economic loss. In today’s advanced technology, in the coal industry the use of the monitoring water inrush system cannot accomplish real-time online access to underground water changes, and can not accurately complete warning mission. To obtain information of underground water changes the key is how to identify the different water sources. Assumptions can timely observe dynamic change of underground water, it can be found that the water inrush situation may exist in advance, and then notify the underground staff prepare to leave, for the prevention and control of water inrush in underground also provides relevant basis. Taking laser spectroscopy technology as the basis, proposes the use of source spectra of new method to identify different kinds of water, so that it can more accurately, more rapid and more reliable prediction of underground water source implementation.According to the water inrush from coal mine accidents, this paper puts forward a kind of using laser spectroscopy technique to identify mine water source method. First analyzes the types of water inrush accidents in coal mine underground and its identification methods, mainly introduces the detection and recognition of water inrush disaster.And then made a brief introduction to general water inrush sentenced system. Due to the interference of fluorescence signal water reflected weak and there are impurities fluorescence, sensor acquisition also may be interfered by external noise signal, so this paper chooses the wavelet analysis algorithm to process the signal containing noise, can restore the fluorescence signal data of factual information. Based on the theory of laser spectroscopy technique, using the K nearest neighbor method does not require a set of linearly separable pattern advantage, to identify the spectral signals of different water sources, so as to realize the prediction of water inrush. Finally the simulation test of K nearest neighbor algorithm model is built by using MATLAB software, proved by laser spectroscopy can be very good to water inrush source categories for classification, This can improve the underground water monitoring system in the future in order to achieve better monitoring effectThe simulation test of construction noise reduction and recognition model, the results show that using laser spectroscopic techniques to identify the underground water disaster is feasibilitywhich has a great advantage. using spectral data analysis to find changes in underground water, so that to reduce casualties and economic losses caused by water inrush in underground, also can guarantee the safety of coal production. The application of data classification method in this paper also can be used in other needs of safety monitoring system, and can be widely used in the actual production of life.