Elderly Health Data Management Platform Based On Distributed Microservice Architectur

In recent years,with the development of social economy and the continuous progress of technology,people’s life is longer and longer,China has entered an aging society.The daily living of the elderly has always been a basic problem in life,especially in the aspects of health management and activity monitoring.It is not only the daily living needs of the elderly,but also the necessary guarantee for their later life.Therefore,from the perspective of the physical health indicators of the elderly,it is important to study how to better meet the needs of the elderly and specific users through available means,and to formulate relevant strategies to improve the quality of life of the elderly.In the above context,the research objective of this paper is to build a platform for health data management for the elderly based on distributed micro-service architecture,which can make the platform more responsive and provide valuable services to users from the perspectives of data collection,data integration and intelligent algorithm data analysis.Random forest algorithm and neural network semantics segmentation algorithm are used to monitor and analyze the collected health data and scene images in real time,which improves the platform’s ability to judge the user’s physical status and environmental risk.Firstly,this thesis analyzes the research status of data management platform and microservice architecture,focuses on business requirements and platform logic architecture according to the platform background,and clarifies the design and implementation goals of the platform.On this basis,a microservice system architecture based on Spring Cloud Alibaba is designed to define the system business needs and performance requirements.On the basis of the main architecture,the design of functional modules,system algorithms,platform database structure design and nonfunctional modules of the platform system are introduced respectively,and the design of each module content is introduced in detail according to the business function requirements and high scalability.Then,the overall implementation process of microservice architecture of health data management platform is described.Secure access is achieved through role management of user permissions,and microservice governance environments such as service registration and discovery,service link monitoring are built,and various functional modules are developed.Use MQTT Io T transport protocol with message queues and Spring Gateway as the implementation of gateway services;The health data service implements the functions of data collection,upload and analysis,and data storage persistence.The algorithm processing service realizes the calculation and prediction functions of collected health data and travel information.The random forest algorithm processes the numerical computation data,the neural network semantic segmentation algorithm processes the image data,and realizes the detection of the body state through numerical computation and image segmentation.The device management module realizes the control functions such as hardware device management and information upload;At the same time,it also realizes non-functional modules such as platform cache and dynamic and static separation.The platform is implemented based on the Spring Cloud Alibaba architecture,and uses My SQL storage,Redis for caching,and Docker for environment construction and deployment.Through top-down business logic requirement analysis and design,a systematic platform for data collection,data analysis and data visualization is realized.Finally,the functional test and stress test of the platform are carried out through the test environment built,which shows that the elderly health data management platform designed in this paper has good feasibility and scalability,and plays a positive and effective role in the informatization and modernization level of data management.