Study On Intelligent Oil Monitoring System Based On Network

The features of tribology fault are changed along with the time and system. It is efficient to diagnose tribological fault in respect that information characteristics contained in lube samples tell the truth enough. As a matter of fact, information characteristics are limited by using a single monitoring technique in order to diagnose the type of wearing parts, degree of wear and wear process. So, the data fusion from different monitoring techniques is necessary to obtain more original characteristic information, or to continuously develop information extraction technique to acquire more secondhand characteristic information from lube samples. With the rapid development of the data integration and information fusion, it is widely applied into fault diagnosis.Expert system of oil monitoring is a computer program, which is provided with experience of domain experts, strategy of knowledge reasoning and ability of resolve problems. It is the characteristic thing for expert system to answer the difficulty of or badness results of purpose which human experts are requested to. With the produce and development of expert system, a new approach is presented for researcher in oil monitoring to put to the issue.With the maturity distributed technique and the multiple base synergism of database, knowledge base and method base, computer applications go forward from resolving problems respectively in a close system to cooperating synchronously or asynchronously with each other for customers to find a solution to all kinds of complex problems. Therefore, computer resources, which include hardware, software, database, knowledge base, normal programs and intelligent programs, will be shared to large extent.It is a of consequence approach for intelligently processing information on oil monitoring and fault diagnosis to establish the distributed fault diagnosis expert system based on the integration of multiple techniques, which utilizing information fusion techniques to go along with monitoring and diagnosis, and using expert system for auxiliary means.In this paper, information fusion is imported into oil monitoring system, and knowledge base of oil monitoring are constructed by making use of CLIPS expert system shell. Then, expert system of oil monitoring for making diesel engine is established, serving as intelligent components of the whole system. The intelligentization is materialized by information fusion and expert system. Oil monitoring databases are constructed by utilizing SQL Server, which efficiently manage the experimental data, fundamental state of monitoring unit and standard of oil analysis. According to different communication ports of experimental equipments, several data collection programs or data communication programs are wrote to provide database for monitoring and diagnosis. Based on all of these, a computer network is established, which uses distributed component object model for a framework, and employs database server as data maintenance tools.