In the construction industry

traditional building inspection methods suffer from low data processing efficiency and poor accuracy

and there is an urgent need for the support of intelligent technologies. This study investigates an intelligent analysis and risk early warning system for building inspection data based on big data

artificial intelligence

and machine learning technologies

and explores its application in improving the efficiency and accuracy of building safety inspection. At the same time

it conducts intelligent analysis on building inspection data

and combines data mining technology to effectively discover potential safety hazards and provide precise early warnings. This approach not only offers a scientific basis for building safety management but also introduces new perspectives for intelligent building management

demonstrating significant practical value and application prospects.