Research On The Residents’ Health And Exercise Management Expert System Based On The Case

At present, along with the growing of people’s understanding of health, the people’s healthy consciousness gradually changes from illness treatment to prevention of disease. People begin to pay attention to the quality of life and pursuit the scientific and healthy life. However, a healthy life cannot do without movement. How to scientifically exercise and meet people’s effect of pursuing health becomes a hot research topic at the present stage. Therefore, the development of the residents’health and exercise management expert system which treats improving the health of people as the center plays an important role.This paper takes the residents’health and exercise management expert system based on the case as the object of study. First, it designs the system structure and the overall structure of this expert system. Then, it puts forward the knowledge representation method and constructs the case knowledge base. Finally, it discusses the exercise prescription generation method and the knowledge acquisition algorithm.1. The knowledge base of the residents’health and exercise management expert systemAccording to the relationship between the customers’health information and exercise prescription and the characteristics of case representation, case representation method based on the characteristics is proposed. It completes the express of the problem description and solution description and remarks description. Then, according to the need of the case representation and case-based reasoning algorithm, it constructs the case-based knowledge base, designs the operation process of the case-based knowledge base, which laid the foundation for the knowledge of the expert system.2. Research on exercise prescription generation based on the multi-weighted scenario treeBecause the diversification of human disease can produce many different healthy types, the corresponding exercise prescription is different. According to several weights of healthy type when the exercise generates, and the question which single valued scenario tree cannot meet joint optimization of the multiple sets of weights, it puts forward the algorithm based on multi-weighted scenario tree. First, the algorithm calculates weighted total similarity combined with multi weights after calculating every node similarity. Then, it solves the sequence similarity using Pareto to obtain multiple weights which can get common optimization. This can assist health management division to provide the scientific and effective exercise prescription for meeting the demand of exercise prescription generation.3. Research on the algorithm of knowledge acquisitionIt is easy to have the phenomenon of repetition and redundancy after constantly updating the knowledge to influence the expert system running effect. At the same time, in order to avoid the knowledge base too large to influence the running speed of the expert system, the algorithm of knowledge acquisition is developed. First, it judges the knowledge to be updated whether to meet the knowledge consistency and equivalence definition to avoid the repetition and redundancy. Then, it finds the non-dominated solution set using the multi-weighted scenario tree algorithm. And it combines the knowledge to be updated with the solution of the non-dominated solution set to calculate the crowding distance, to control the knowledge intensive for avoiding the knowledge base too large. Lastly, extensive experiments performed on the residents’health and exercise management expert system effectively control the complex problems of knowledge repository which verify the effectiveness of the algorithm.4. The development of the residents’health and exercise management expert systemThis paper develops the expert system of the residents’health and exercise management using database technology and.Net technology. It introduces the design of the main module and the database. This system has been put into trial operation in the Nan Yuan residential area.