Mining Technology Based On Multi-sensor Information Fusion Study Of The Collision Avoidance System

China is a country with extencesive and well-found category mineral resources.But mine accident appear most frequently in our country all over the world.In fact,according to the report from Shanxi Coal Monitoring bureau,192 occupational injuries and 509 death were happened only in the province in the past two years. The economic loss hits more than ten billion yuan.Not merely Shangxi, people are in the whole country really shocked by all kinds of accidents about mining。One important cause is that the application of technology in Mine area lags behind the the growth of production.Improving the application of technology in mine is Effective Way to reduce the mine accident. IN order to confront the complex environment, a design of crash-preventing system is provided in the paper. The design of all aspects of the system is in accordance with the "inherent safety" requirements to avoid the result of electrical explosion led to gas explosion.This paper analyzes several problems may be encountered in the system design。The basic rules of the multi-sensor data fusion algorithms and fuzzy logic control was introduced. To determine the position and motion of the obstacles in the mine, a hybrid information data fusion structure model based on the digital filter and process model of fuzzy kinematics is presented to realize collision avoidance in the crash-preventing system. Firstly, the error data is filtered and the range of fusion dwindle with predictive search using filter .Then, the fuzzy reasoning will help to get the weighted factor of each sensor and the direction data with fuzzy-to-certain method. Finally, the comprehensive motion and location information will be obtained using adaptive weighing data algorithm. And the realization structure for the new algorithm is also presented in this paper.The avoidance behavior controller and the trending goal behavior colltroller are designed on the base of the previous work. The speed and direction of vehicle is determined by the two colltroller.The stability and accurately of the algorithm is validated by error analysis of examples whose data has been processed, which comes form the on-the-spot test in the mine. Example analysis shows that the crash-preventing system implements obstacle avoidance effectively in the poor working conditions.