Multi-Source Collaborative Monitoring and Diagnostic System for Slope Safety and Geological Hazard Prevention, independently developed by Nanjing Design Institute of China Coal Technology & Engineering Group, has achieved innovative upgrades in five core technologies. The system integrates automated sensing equipment such as slope radar, GNSS, tilt/vibration/acceleration sensors, deep displacement sensors, and video surveillance to construct a multi-source collaborative sensing network combining "space–air–ground–deep" with "point–line–area–volume" dimensions. It supports full-factor intelligent perception, acquisition, and transmission of multi-source heterogeneous data. A digital twin foundation is established, enabling full lifecycle management from static geological modeling to dynamic hazard simulation. By integrating machine learning and risk assessment models, the system achieves multi-scale precise early warning across "device–single point–region–comprehensive" levels. The system operates across PC, mobile, and cloud platforms, forming an integrated closed-loop process of "monitoring–analysis–early warning–decision making." Developed on a domestically produced platform, it is compatible with mainstream equipment and industrial protocols and has passed the certification for adaptation to the information technology innovation environment. This achievement has been recognized as reaching internationally advanced levels by the China Coal Industry Association. It has been successfully applied in typical projects across Inner Mongolia, Xinjiang, Shanxi, Jiangsu, and other regions. The system also provides integrated services including monitoring scheme design, data analysis, and slope stability evaluation, targeting the mining, geological hazard prevention, and transportation sectors, thereby reshaping the intelligent diagnostic technology system for slope safety and geological hazards.