Research On Key Technologies Of Intelligent Decision Support System For Environmental Disaster Emergency

In modern chemical enterprises, production equipment are becoming more and more intensive, processes are becoming more and more complex, the volume of production is becoming more and more large and products are becoming more and more diversifying in recent years. Once an environmental pollution accident happed in such large chemical companies, it will bring great injury of personal and property safety as well as the surrounding environment. Due to the emergency of environmental pollution accident, if disposed improperly, the consequences could be disastrous. In this context, the establishment of an effective emergency response platform is increasingly important. Comprehensive environmental disaster emergency decision support system can help emergency command personnel to effectively organize the rescue, saving the rescue time, reduce the decision risk and minimize the impact of disasters.However, most of the contingency plans exist in the form of text, which cannot provide the abstract data structures for the intelligent decision support system in environmental disaster. Besides of that, the standard of comprehensive plans and special plans are incompatible. In addition to that, how should policymakers effectively schedule the various emergency response agencies and resources and how to do the clean work are other difficulties of the decision support system.Aiming at these problems mentioned above, we proposed several solutions from the aspect of modeling the plans and making the decision automatically. The main work in concluded as follows:1. We proposed a method to model and digitize the environmental disaster plans. The method concerns the characteristics of the environmental disaster accident, refers to a number of comprehensive plans and special plans, and taking into account the large differences of the plans, extracts fine-grained abstract data structure from the text plan, makes each kinds of objects can be understand and deal with by the computer. On the basis of that, we can do some research work on the digital plans and make some practical application such as dynamically generating plans, site feedback collecting, the gauntlet releasing, evaluation system, etc. 2. Combine the method of Case-based Reasoning (CBR) and the method of Rule-based Reasoning (RBR) to help with the decision making in environmental disaster accident. In the area of environmental disaster accident response, there is lack of explicit, complete and systematic rules; much of the knowledge is based on the past experience. Also, new emergence targets may occur anytime during the emergency process. Therefore, we mainly use CBR supplying with RBR in our implementation. In such way, the decision can be made in a more effective and efficient way.3. We implemented an environmental disaster intelligent decision support system. We describe the system requirements, the roles in the system, the design of the database and the user interfaces. The targets of the decision support system are achieved, that is the visualization of plans, the dynamics of running and the intelligent of decision making.