The concept of knowledge engineering was put forward by E.A.Feigenbaum, a computer scientist at Stanford University in the United States, at the 5th International Conference on Artificial Intelligence from 65438 to 0977. Knowledge engineering is the principle and method of artificial intelligence, which provides a means to solve application problems that need expert knowledge. It is an important technical problem to design a knowledge-based system to correctly use the composition and explanation of the acquisition, expression and reasoning process of expert knowledge. Knowledge engineering is a knowledge-based system and an expert system established by intelligent software. Knowledge engineering can be regarded as the development of artificial intelligence in knowledge information processing. It studies how to express knowledge by computer and solve problems automatically. The research of knowledge engineering makes the research of artificial intelligence turn from theory to application, from reasoning-based model to knowledge-based model, including the overall research of knowledge information processing. Knowledge engineering has become a new frontier discipline. Knowledge engineering is a new discipline with knowledge as its research object. It regards the common basic problems in the research of specific intelligent systems as the core content of knowledge engineering, making it a general method and basic tool to guide the specific development of various intelligent systems and a science with methodological significance. At the national symposium of the fifth generation computer experts in August 1984, Shi Zhongzhi pointed out that knowledge engineering is a discipline that studies knowledge information processing and provides technology for developing intelligent systems, and it is the result of the cross-development of artificial intelligence, database technology, mathematical logic, cognitive science, psychology and other disciplines.