Optimization Design And Implementation Of Intelligent Remote Monitoring System

With the rapid development of medical informatization work,the application scenarios of Internet of Things technology in clinical medicine are also constantly expanding.More and more monitoring devices are connected to the information management systems of medical institutions,posing huge challenges to the efficiency,security,scalability,and maintainability of system operation.Although the current remote monitoring system has achieved rich medical functions,it is difficult to meet the needs of system expansion,third-party application docking,and often faces reduced response speed or even system crashes during peak business hours.This article conducts research on the optimization of intelligent remote monitoring systems that have been running for many years.It analyzes the problems encountered in data storage,external connection,and operation maintenance when the current system grows in business scale.Based on the data characteristics and business requirements of clinical medical scenarios,a targeted optimization plan is designed,and the development and testing of relevant modules are completed.The main work and achievements of the paper are as follows:1.Optimized the storage scheme of structured data and distributed file storage scheme of the monitoring system.A classification based data storage optimization scheme and a priority based data processing process have been proposed for different data characteristics and business requirements,improving the response speed of key businesses.A file storage scheme based on object storage is proposed to meet the storage expansion requirements of surveillance videos,achieving elastic expansion and data protection.2.Designed and implemented a unified token based authentication and authorization scheme.In response to the limitations of the OAuth 2.0 authentication and authorization protocol,a unified authentication and authorization function based on tokens has been designed to avoid authorization code theft vulnerabilities and client CSRF attack vulnerabilities when the monitoring system interfaces with third-party systems,thereby improving the security of system integration.3.Studied the health monitoring methods of the system and services,proposed a scheme for collecting and storing monitoring indicators,triggering and pushing alarms,and implemented functions such as basic resource monitoring,alarm management,and log management,helping operation and maintenance personnel quickly discover and locate system anomalies.A service fault-tolerant mechanism consisting of service degradation,service interruption,and service current limiting has been designed to address the potential risk of cascading failures,enhancing the robustness of the monitoring system.