Data-driven decision making for engineering projects based on real-time IoT data and artificial intelligence algorithms

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.