The Design And Implementation Of The Knowledge Storage Module Of Home-based Health Care System

With the development of China's aging population and the accelerating process of networking technology in recent years,the traditional family service model has failed to meet the needs of family users,the requirements for intelligence of home-based health care continue to increase.Therefore,it is is very meaningful to construct a system of home-based health care to provide convenient services for family users.The knowledge storage module is the key point of the system,it processes a variety of sensing information in home environment into knowledge which is then stored in the knowledge base.The knowledge which used to guide the system gradually grow to be rich through continuous knowledge storage,making the control strategy intelligent and effective.The structure of the knowledge storage module is designed based on the function and requirement of the service system,and a novel method of knowledge processing based on generalized hybrid neural network is presented.In the hybrid neural network,the macro level structure of network level applies recursive neural network,the micro level structure of neuron level is constructed of generalized RBF neural network.The knowledge storage module is stored in advance with the prior knowledge of the home environment,so as to ensure the breadth of knowledge of the module.The home-based health care system using knowledge stored in the knowledge storage module to analyze and process the sensor data currently measured and get the corresponding operation control data output,so as to ensure the intelligent control of the home environment.In this thesis,the feasibility of the knowledge storage module is verified,it includes the simulation analysis of the performance of the knowledge storage module in the thermal comfort control and the actual verification in blood pressure monitoring.The results show that the application of the knowledge storage module in the two aspects is fine.