Fault Diagnosis Expert System Of Local Ventilation In Coal Mine Based On Web

The fault of local ventilators is one of the main factors to induce gas explosion accident at heading face in coal mine. The local ventilation system comprises several equipments and components, which involve numerous fault types and reasons. Because of the lack of basic information for fault diagnosis, the miner can not estimate the fault reasons quickly and accurately, which extend the ventilation break time without plan and bring hidden dangers of gas explosion. Therefore, a fault diagnosis expert system based on Web is studied and developed in this dissertation. The main performed researches are as follows:(1)Based on abundant analysis on the faults of equipments and components in the local ventilation system, the fault diagnosis tree model are developed, and the historical fault information is collected. The process of the data mining of the decision-making database of fault diagnosis is performed by using the rules software of fault diagnosis, and the rules and the instances of fault diagnosis is carried out.(2)The technology about the overall structure of the expert system, the base structure of knowledge, knowledge representation and reasoning mechanism are analysed,and the rules and instances database of fault diagnosis is established by SQL 2000.(3)The key technology of system is studied, JSP(JavaServer Pages) and Java technology are used to complete the network of fault diagnosis system of local ventilation in coal mine, JESS(Java Expert System Shell) and Java language is used to complete the integration development of Fault Diagnosis Expert System of the local ventilation, JDBC(Java Data Base Connectivity) is used to connect SQL 2000 database, and network interface with LabView is completed.(4)The prototype system is analyzed and modeled by the object-oriented technology (OOT),and the Java language, JSP technology, SQL 2000 Database and JESS are used to develop the prototype system software, and the model of practical application is verificated.It applies computer networks and expert systems theory to the area of fault diagnosis of local ventilation in coal mine in this dissertation, a Web-based expert support system is provided to the fault diagnosis of the local ventilation in coal mine. It's a new attempt and exploration in the area of security management on local ventilation in coal mine. It can help the miner estimating the fault factors quickly and accurately, and it also is significant to decrease gas exploding accident and improve safety manage in coal mine.