Urban meteorological sensing and prediction system based on augmented reality and MQTT: An exploration of user-side immersive display technology

This paper presents an urban meteorological sensing and prediction system that employs augmented reality and MQTT technology. The system aims to address the issues of delayed data collection and inconvenient information transmission that are present in traditional urban meteorological detection methods. The system comprises three modules: a data acquisition module, a server module, and an AR client module. The system monitors environmental information in realtime using meteorological sensors deployed at city intersections. The data is uploaded to the server using the MQTT protocol and displayed in real-time on the server side. Additionally, meteorological prediction data is displayed to users through an augmented reality interface that combines Unity3D and VuforiaSDK technologies. The system brings a new experience and convenience to the smart city management and future residents' life, helps the city development towards the direction of intelligence, and provides new technical support and development direction for the future smart city development.