"Road Safety Cloud Measurement-Highway Engineering Intelligent Monitoring and Early Warning System" is an intelligent monitoring solution for road and bridge engineering created by this team. It takes Internet of Things and cloud computing as the core technical support, integrates ML and LSTM long-term memory neural network algorithms, and focuses on the monitoring fields of transportation infrastructure such as bridges, tunnels and slopes. It aims to solve the pain points of traditional monitoring modes and provide the industry with full-process intelligent management and maintenance services. The platform is compatible with thousands of types of sensors, can collect key data such as structural displacement, strain, cable force, temperature and humidity in real time, realize long-term storage and convenient retrieval of massive data with the help of cloud, and innovatively apply LSTM dynamic prediction model with a prediction accuracy of 96.08, can accurately capture the change law of structural parameters, and warn potential safety hazards in advance. In addition, the platform supports 3D/BIM model display, can visually present the structural status, automatically generate assessment reports every month, and can also replace manual data collection in hazardous areas through remote visual monitoring to reduce operational risks. At present, the platform has been applied to Linyi Qinglong River reservoir foundation pit monitoring, tall template support monitoring, Huatong road and bridge pavement monitoring and other projects. It has 5 invention patents and 3 computer software copyrights, which can effectively reduce the cost of structural management, prolong the service life of infrastructure, and promote the transformation of the transportation industry from "passive maintenance" to "active prevention.