The Expert System Database Of Equipment Selection Researched On Mechnized Mining Face

Coal is the main energy of the modern economic development, the exploitation of the quality and cost of mining a direct impact on China’s economic entities. Therefore, improvement of technical level of comprehensive mechanization of coal mining has become China’s coal industry is the most important competition in the technology field. One of the most critical technology is one of the face equipment selection technology.Mechanized mining face equipment selection can only rely on experts in the field, there are many uncertain factors, such as sources of information is imperfect, human factors and reliability, suitable for narrow and other factors. So to find one that can eliminate these negative factors able to analog experts in the field of mechanized mining face equipment for selecting expert system has become a scientific and technological requirements and direction. Given the successful application of expert systems in many areas as well as its powerful features, fully mechanized coal face equipment selection expert system is a very good idea, is of great practical significance and theoretical innovative.Paper design of mechanized mining face equipment selection expert system ultimately to achieve the functionality users need only the main parameters of the input face, and then match the instance of the library and knowledge base and reasoning strategies for reasoning, and ultimately for work side of the optimal matching program. System can also be through the maintenance of equipment, scrap, equipment failure records of information feedback to optimize the configuration of the equipment. The fully mechanized coal face equipment selection more automated and intelligent.Paper through in-depth study of expert system building process, and computer network technology and database technology, the functional modules of the system development, including the registration module to the system registry, the data management module, supporting the selection of modules, file management module, the system help module system management module, and a detailed analysis of the function of each module. Experimental studies through concrete examples of mechanized mining face equipment selection expert system.The paper focuses on the fully mechanized coal face equipment selection expert system knowledge base and database design. The paper discusses in-depth system knowledge base building process, including the choice of the selection and rules in the form of knowledge representation, as well as a comprehensive database build process. Dreamweaver as a development environment, SQL Server2008environment, the use of VBScript, HTML, and JavaScript programming language to establish a knowledge base and comprehensive database.