AI-based professional scheme auxiliary decision-making expert system construction method

Abstract

The invention provides an AI-based professional scheme auxiliary decision-making expert system construction method, which is used for solving the technical problems of low efficiency, high cost, long expert cultivation period and the like in a current professional scheme compiling mode. The method comprises the steps of database construction, data structure establishment, knowledge graph construction, intelligent template matching, scheme conformity judgment, docking knowledge base retrieval and the like. An operator inputs keywords, and a system can automatically compile a professional scheme which is high in pertinence and meets the requirements of normative standard files. Meanwhile, the professional scheme can be intelligently audited and evaluated, and intelligent compilation, audit and evaluation of the professional scheme are achieved by fully utilizing the advantages of big data and artificial intelligence. Meanwhile, the problem that a professional scheme is long in compilation and auditing period, high in cost and the like is solved, evaluation standards are unified, the labor cost is remarkably reduced, the working efficiency is improved, and a professional knowledge base formed in the system can lay a foundation for knowledge economy and provide support for building enterprise competitiveness.

Description

technical field [0001] The invention relates to the technical field of preparation and review of professional schemes of construction projects, and in particular to an AI-based construction method of a professional scheme auxiliary decision-making expert system. Background technique [0002] The preparation and review of professional schemes are highly specialized, involving a wide range of knowledge and various categories, and mainly rely on manual experience in the preparation and review of professional schemes. The quality of professional scheme preparation and the depth of review mainly depend on the professional ability and professional ethics of people. At present, the company is facing problems such as shortage of personnel and younger people in the process of rapid development. Since the cultivation of backbones and experts depends on long-term course training and continuous accumulation of engineering experience, the lack of expert systems and uneven distribution of ...

AI Technical Summary

Problems solved by technology

[0003] In view of the deficiencies in the above-mentioned background technology, the present invention proposes an AI-based professional scheme auxiliary decision-making expert system construction method, which realizes functions such as intelligent preparation of professional schemes, intelligent approval, and intelligent recommendation, so as to solve the problems of low efficiency and low efficiency in the current professional scheme formulation mode. High cost and long expert training cycle, etc., make full use of the advantages of big data and artificial intelligence to realize the intelligent preparation, review and evaluation of professional solutions

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