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Research And Development Of Expert System On Excavating And Retaining And Protection Of Deep Foundation Excavations

Posted on:2005-05-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q YeFull Text:PDF
GTID:2132360125454473Subject:Safety Technology and Engineering
Abstract/Summary:PDF Full Text Request
Excavating and retaining and protection of deep foundation excavations are highly complicated systems engineering, which need practicing very much and are depend on practice experience. Technical personnel are difficult to make decisions when they meet problems on the project design or on the spot of project constructing. So on such time, they need instruction of expert and specialty books and experience of anciently project examples. In order to make full use of above knowledge, this thesis develops the consultation expert system on excavating and retaining and protection of deep foundation excavations.On the base of knowledge, expert system simulates human expert's thinking means with computer to solve problem, then supplies instruction to technical personnel. In the course of development, the thesis accomplish these works: According to the appliance field of the system and the function the system must have, the thesis fixes on the framework and function module and development policy of the expert system. In order to constructing the database of the system, this thesis summarizes the specialty knowledge on excavating and retaining and protection of deep foundation excavations with help of engineering experts and specialty books. Analyzing the configuration and the expression means of expert knowledge, this thesis chooses the knowledge expression means which is suit to the system, and constructs the data structure of the system with object orient method. According to the data structure of the system database, this thesis conjoins the breath-first search and the depth-first search, and constructs the positive direction reasoning mechanism to make use of the specialty knowledge in the database. Aim at the difficulty to add knowledge to the expert system database, the thesis realizes the self-learning function of the expert system with artificial neural networks.Validated by the running of a lot of examples, the consultation expert system on excavating and retaining and protection of deep foundation exactions has reached the development goal. The system can supply not only the right consultation result, but also the conviction explaining, which makes clear that the system has high value on theory and practice application.
Keywords/Search Tags:deep foundation pit, expert system, production rule, reason, artificial neural networks
PDF Full Text Request
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