The Research Of Application Of Expert Systems In The Grain Storage

The research of security incidents diagnosis and the security threat warning about Grainstorage has great significance for the promotion of food storage safety. On the basis ofunderstanding and analysis of the current food safety situation in China, especially theproblems and needs faced by the grain storage security, This paper combines existingconstraints relationship between them in the grain storage, through the research of expertsystems knowledge acquisition, knowledge representation technology, inference controlstrategy, fuzzy reasoning mechanisms and algorithms which suit for grain storagemanagement features, then achieve the development of grain storage expert system withsecurity incidents diagnosis and the security threat warning function.This paper mainly does the following research work:(1) Collected and analyzed technology and theory in the field of food storage and expertsystem, including the general expert system design features and requirements, developmentstatus, the design requirement and guideline.(2) Introduced the technology and application of food storage and expert systemincluding knowledge acquisition, knowledge representation, combination of knowledgeproduction and object-oriented structure, explain mechanism, fuzzy inference, databasedesign and other technology.(3) Designed main part of expert system for grain storage, including grain storagesecurity incident diagnosis and grain storage security threat forecast, and realized throughsoftware technology.(4) For the availability of system, designed the hardware communication module,including the GPRS remote wireless communication and short-range serial communicationmodule, to meet the hardware terminal to realize real-time monitoring and collection for thegrain data.Combined these aspects in the grain storage, such as environmental analysis,decision-making and ventilation, researched grain storage expert system, including the designof overall structure, knowledge extraction and summary of food storage decision. Researched the expert system knowledge representation， reasoning strategies， and inference enginemodel applied in food storage areas. Identified the structure of knowledge stored in thedatabase， and competed knowledge base and the conversion from corresponding rule base tothe database. The optimization of the reasoning process and knowledge acquisition andclassification is to ensure the accuracy of knowledge and the correctness and validity of thereasoning.This system can achieve the second development through the interface, combining withhypermedia, networking and other new technologies to realize network expert system withpowerful learning, organization, adaptation.