ABSTRACT:

Application of information technologies raises interest in preparation of highly-qualified experts, quality management in exploitation of marine structures. Theoretical positions, principles of functioning, an assumptions and restrictions of developed expert system (ES) are given. Requirements of reliability, efficiency, protection of the information, mobility are provided. The probabilistic and dynamic nature of information is discussed. The program shell, characteristics and opportunities of the tools are described.

INTRODUCTION

Advantages of ES (Waterman, 1989):

  • decision of problems, which complexity exceeds human opportunities and for which expert knowledge of several areas is required;

  • gathering, operative specification, coding and distribution of expert knowledge;

  • preservation of knowledge (the most vulnerable value of company).

The system of designing of knowledge base is resulted, the technology of loading and actualization of base of knowledge is described. Graphic interpretation of knowledge base structure is given, the features of structure caused by character of tools are described, dependences of factors the examinations connected with indistinct or probabilistic nature of knowledge are proved. Used strategy of input, purchase, an explanation of knowledge are resulted, the organizations of dialogue and parametrical option of corresponding mechanisms is carried out. Correctness of the conclusions, adequacy of base of knowledge of problem area, conformity of methods of the decision of problems expert, ease and naturalness of interaction with system, reliability, productivity and adaptability was checked up. Original program components are in addition developed on Delphi. It is offered hybrid ES with a neural modeling and GIS base. Information-diagnostic module. It is developed on the basis of databases on inspections of over 200 berths in Primorye, Sakhalin, Kamchatka, executed by Hydrotex Co. Ltd. The system of maintenance of the possible reliability is described at incompleteness of the data and errors of measurements.

Keywords:
recommendation, engineering, examination, estimation, mechanism, artificial intelligence, festu, serviceability, exploitation, expert system
Subjects:
Information Management and Systems, Artificial intelligence
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2004. The International Society of Offshore and Polar Engineers
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