The Method Of Neural Network Of Safety Objective Management In Coal Transport System

Coal transport system is the important sector in coal production, Frequent accidents of transport have threaten critically to safety production of mine. Therefore, there is necessity to have a safety assessment to coal transport system. Safety state of coal transport system is divided and carried out management separately from man,machine,media and management.Based on the extensive study of some mines, we educed the happening condition and rule of accidents in coal transport system. We define the factor collections by analyzing detailedly coal transport system from man,machine,media and management. Safety states of coal transport system are divided five grades. Thought system of safety objective management is imported into coal transport system. Safety objective management controls from three sectors, i.e objective formulation resolution,objective carried out and controlled,outcome comprehensive assessment and improvement. So brought up evaluation system of safety state in coal transport system. Based on the extensive study of many mines, we got the spot data for evaluating transport system safety degree. Safety grade of samples of coal transport system is formed by applying grey classification analysis. Based on it, programmed the neural network and trained it by applying matlab 6.1,comprehensive assessment model of coal transport system is set up. Put the trained neural network model and the indexes database of coal transport system together constituted the assessment system to safety state of coal transport system. And applied it to some mine engineering verification. So put forward safety measure and improvement opinion.This text has the certain guidance meaning for dividing safety grade of coal transport system and decreasing industrial accident.