Design And Implementation Of Health Monitoring Module Of Smart Pension Cloud Platform

Smart pension is a new trend in the elderly care industry in recent years.The smart pension cloud platform mainly includes functional modules such as edge computing,artificial intelligence,identity authentication,and health monitoring.Based on the existing smart pension cloud platform system architecture,based on the Flutter cross-platform development framework,configurable community component Provider,Spark big data engine and other technologies,this paper optimizes the design and implements the equipment service management,health monitoring module of the smart pension cloud platform.Integrated frontend tracking,health service recommendation and other functions.In order to optimize and realize the health monitoring function required by the smart pension cloud platform,this paper optimizes the design and implementation of the health monitoring module of the smart pension cloud platform from three aspects:equipment management,data operation,and service management.The main work of this paper is as follows:1.Optimized the design and implemented the equipment management sub-module of the smart pension cloud platform.Existing device management solutions have good results when there are few types of devices,but with the development of the platform,after the introduction of Raspberry Pi devices,the types of devices increase,and the existing device management solutions cannot complete the device relationship maintenance function.For the real-time monitoring and analysis of the health status of the elderly,this paper proposes an optimized smart pension cloud platform equipment management solution,which maintains the binding relationship of user equipment in real time and realizes real-time command issuance.Compared with the existing equipment management methods,this solution effectively reduces the cost of multi-terminal development,and realizes the integrated management of equipment,providing a digital foundation for the development of follow-up work.2.Optimized the behavioral data collection scheme of the smart pension cloud platform.Due to the large number of user roles and clients of the smart pension cloud platform in the existing visual burying scheme,the request pressure on the background server is too great.This paper proposes a smart pension cloud platform burying point based on the internal Widget Tree of Flutter and the community component Provider.Compared with the existing visualization embedding scheme,this scheme effectively reduces the intrusion of business code and server pressure,and completes data visualization display and data analysis.3.Optimized the design and realized the service management submodule of the smart pension cloud platform.During the operation of the platform,it is necessary to provide door-to-door services for the elderly.This paper designs and implements a multi-role maintenance state machine to advance the work order status,designs a grabbing mechanism to ensure service timeliness,and designs and implements real-time monitoring based on the ALS collaborative filtering algorithm.The weighted recommendation algorithm effectively solves the problem of monotonous collaborative filtering algorithm results and improves the user experience of the platform.