Research On Theory And Methods Of The Running State Of Monitoring In The Vehicle Based On Multisensor Information Fusion Technology

Under the current complex conditions, sole sensor in the running state of monitoring system in the vehicle could offer neither real-time, high-precision, high-reliability navigation information, such as position quickly, nor the functions of self-determining, adaptability to the change of conditions, anti-jamming, miniaturizing and good property to price ratio. The running state of its pivotal parts can be monitored in real time and alarmed by using of a mass of the information about running state from the good monitoring system, which is useful for total capability of the vehicle being better known and some corresponding measures to enhance its dependability and security being adjusted by its operators.Therefore, in order to better realize real time monitoring on the running state of its pivotal parts by using of a mass of the information about running state of the vehicle, the main achievements and innovations of the running state of monitoring system in the vehicle based on multisensor information fusion technology are expressed as:(1) Nonlinear correction effects of monitoring sensor were very good by using of chaos optimum neural network that were combined from function chain neural network and self adapting mutative scale chaos optimization algorithm(2) Based on means of possibility theory and variable weight analysis method, a method to judge data validity based on the fuzzy theory was presented. This method takes full advantages of redundancy and complementarity of different observations and makes the result more accurate and reliable.(3) In order to avoid other factors interfering output information of monitoring sensors in the vehicle in running process, output information from some double sensors such as pressure sensors were fused. And their fusion effects were very good.