Purpose/Significance To build a health management system for community residents with active health as the main feature, and to solve the problems existing in the current community residents’ health management, such as the lack of continuous dynamic tracking and personalized intervention means, and so on. Method/Process The researchers comprehensively use multiple physiological parameter acquisition, internet of things(IoT), mobile internet, health big data and other technical means to carry out analysis of the collected data, and then achieve health early warning, through the formulation and implementation of health prescriptions, and then achieve active health interventions. The system can continuously and dynamically track the physiological indicators of individual community residents, and realize the personalization and precision of community health management. Result/Conclusion The system effectively provides continuous and dynamic health monitoring services, which helps to accurately assess and predict health risks. Its characteristics of active health have a positive impact on the health management of individual residents and the whole community.