put forward by analysis, sum-up and abstract of substantive typical explosion disaster accident cases in chemical and petroleum-chemical process. databases for dangerous materials, typical accident cases and typical explosion disaster accident modes have been built. existing ways and models for simulation and evaluation of explosion disaster have been summarised and compared by calculation, and their virtues and defects have been analyzed. then models for simulation and evaluation of accident consequence of uvce and bleve have been given, including models for explosion fireball, distributing and damage of shock wave in space, distributing and damage of heat radiation in space, human casualty and property loss. damage modes of explosion disaster have been studied and analyzed. evaluation rules applying for gas cloud explosion have been summarized. accident simulation and evaluation way based on disaster models have been given. evaluation parameters system for disaster consequence of uvce and bleve has been established. simulation and evaluation software for disaster consequence of uvce and bleve has been developed . after analysis and comparison of virtues and hortcomings of existing system

safety evaluation ways, artificial neural network (ann), artificial intelligence (ai) and expert system (es) are used to build new system safety evaluation means. system safety evaluation model and intelligent expert system for fault diagnosis based on ann have been put forth. development and realization of visual neural network for system safety valuation and fault diagnosis provides new idea for system safety evaluation and accident mode diagnosis. ideas and steps for building of succour measures under emergent disaster have been suggested. contents of succour measures under emergent disaster have been summarized. detailed rescue principle and procedure under leak accident of lpg are also given as an example. knowledge base, model base, arithmetic base and inference engine for explosion disaster prevention and emergency succour are built. design and development idea for decision support system based on object-oriented idea are offered. design of structure and main function modules of dss for disaster prevention are given. distributing dss for disaster prevention and simulation of disaster in chemical process is realized by system integration of diagnosis module for accident mode, neural network module, disaster simulation and evaluation module, knowledge base a

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