Graph-based optimization of IoT positioning systems for vehicle path recognition and equipment status analysis

This study aims at the problems of vehicle path recognition and equipment parameter acquisition, and proposes a solution based on Internet of Things positioning and thermal infrared image recognition. To this end, this paper combines Internet of Things technology with thermal infrared image analysis, aiming to achieve the automatic recognition of vehicle paths and the accurate measurement of key equipment parameters. This paper uses Internet of Things positioning technology (such as GPS) to obtain the initial location information of vehicles; Then, through thermal infrared image recognition technology, thermal image analysis of vehicles and related equipment is conducted, feature parameters are extracted, and combined with pattern recognition algorithms, the automatic recognition of vehicle operation paths is achieved. The results show that the method proposed in this paper can effectively identify the vehicle running path, and the recognition accuracy is significantly improved especially in complex environments. Therefore, the technology based on Internet of Things positioning and thermal infrared image recognition has significant advantages in the automatic recognition of vehicle paths and the acquisition of equipment parameters, providing new technical means for intelligent traffic management and vehicle safety monitoring.