The rapid development of the Internet of Things (IoT) has brought unprecedented opportunities and challenges to decision-making in engineering projects. This paper constructs intelligent decision-making method by utilizing the Internet of Things, artificial intelligence and other technologies. The Internet of Things is utilized to collect real-time engineering project status information and monitor the abnormal status. Then artificial intelligence is combined with operation research optimization algorithm to propose an intelligent decision-making method based on IoT data-driven. By verifying the overall performance of the system and analyzing the application examples, it can be found that the data delay of the IoT device is randomly distributed between 50ms-150ms, which is relatively smooth and has no obvious changing trend. The IoT device responds to the project 1000 data requests more accurately. The intelligent decision-making method based on artificial intelligence was adjusted at the 100th artifact. This ministry effectively reduces production performance loss, avoids the problem of inventory surge, and always maintains the inventory at a reasonable level.
