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Spontaneous combustion of coal not only cause loss of coal resources and water resources, and environmental pollution caused by forest fires, but also a direct result of the serious consequences of casualties. Spontaneous combustion of coal is the nature of the objective existence of a phenomenon, more than half of mine about spontaneous combustion hazard exists, the reason is the coal-oxygen complex reaction results. At present, China mainly uses domestic forecasts beam tube spontaneous combustion monitoring system, although able to achieve continuous monitoring, but in actual use, there are many disadvantages: complexity of the installation, pipeline maintenance difficulties, the purchase and maintenance costs high, can not achieve real-time monitoring. Abroad is used in a distributed microprocessor core, all-digital communications-based coal mine monitoring system, has yielded some success, but the price is expensive, is not conducive to the promotion of this coal-producing countries. With the development of embedded computer systems, improving the reliability of the sensor, using temperature sensors, gas sensors and other sensors, intelligent prediction algorithm used by the computer to direct the combustible gas sampling and analysis to predict the combustion conditions, has become flammable gas monitoring and alarm the main technical means. This paper studies two kinds of coal spontaneous combustion prediction and forecasting techniques, a combination of temperature and gas analysis, while using Texas Instruments (Texas Instruments) recently launched a high degree of integration as well as analog and digital data processing capability MSC1211 strength , has developed a high-precision, low-power coal spontaneous combustion monitoring system. It is a domestic and international coal mine monitoring technology advantage and for our country and the development of a mine status of hardware and software, the application of modern computer technology to monitor the environment of the underground network management system. System is fully functional, reliability, timeliness is higher. The system is also characterized by innovation of this paper has the following aspects: (1) highly integrated digital / analog mixed-signal chips MSC1211. Integrates a large number of analog and digital peripherals, 24-bit resolution Σ-Δ ADC (ADC), 8-channel multiplexer, 4-channel 16-bit digital to analog converter (DAC), DAC offset / gain calibration, with a strong data processing capabilities. (2) is established based on wavelet neural network prediction model of coal oxidation rate, using a calculation based on the principle of golden hidden layer nodes of the optimization algorithm, combined with MATLAB powerful computing capabilities, greatly improving the accuracy of the forecasts. The spontaneous combustion of coal and coal oxidation rate monitoring forecast combined, greatly enhancing system reliability. (3) PC software using MATLAB and Visual C 6.0 (hereinafter referred to as VC) mixed preparation. Since VC using object-oriented technology to provide a good user interface, fast implementation; MATLAB has powerful data processing capabilities, the graphic display and processing simple to implement and flexible. The system will combine both organic, give full play to the advantages of both, the next crew collected real-time signal to the host computer through the serial port, to achieve real-time monitoring mine safety situation. This system is a new type of spontaneous combustion monitoring system. Equipment for the explosion-proof instrument that can be used directly in the underground, continuous, real-time parameters for the coalface analysis and monitoring, and automatic sound and light alarm, and drive the high-pressure spray cooling water piping processing, can be used alone , but also directly with the current mine monitoring and control system for networking, as a system of a sub-station or a piece of equipment called or control, is set to spontaneous combustion forecasting and emergency treatment of high-tech products.
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