Study On Mine Gas Monitoring And Early Warning System Based On STM32

The security problem of coal mines has been a focus that all the society is looking for it now, and our countries in coal safety production supervision is gradually enhanced, which makes the coal mine monitoring system should not only focus on the function more, communications are also very important to further enhance the real-time property while make sure reliability, in order to figure out the environment parameter information.With the coal mining has been used more and more frequently,various gas explosion incidents are often reported in the newspapers. The main reason of the mine monitoring is insufficient timely and effective. The reason of this phenomenon is which the gas monitoring system has many problem, Such as underground monitoring sub-station performance is not good enough, the transmission of information collected by sensors untimely. Aiming at the coal mine monitoring system exists so many difficult problems, this paper puts forward a mine gas monitoring and prediction function system based on STM32. Communication use optical fiber Ethernet+the can bus way, the main controller of monitor sub-station is STM32F103. using UCOS-Ⅱ as an embedded operating system, running the operating system and application software on STM32 processor, The upper machine adopts industrial control software configuration kingview 6.52. and using the DDE way to realization kingview with the lower machine communications, In addition, prediction function of mine gas was added to the detector. And ueing the genetic neural network model to realization the prediction function. An improved dual population genetic algorithm based on individual similarity(DGAIS) was proposed. Also the Simulation experiments and results analysis had been done in this papper. After compared to the standard BP neural network model, we can know that the iterations and the absolute errors had been significantly decreased for improved genetic neural network model.