Accuracy evaluation of direct tire pressure monitoring system based on artificial intelligence

With the rapid development of the automotive industry and the increasing emphasis on driving safety, the tire pressure monitoring system (TPMS), as an important component of vehicle safety systems, has become a research focus on its accuracy and reliability. This article explores the accuracy evaluation method of a direct tire pressure monitoring system (TPMS) based on artificial intelligence technology through theoretical analysis, simulation research, and real vehicle testing. The research results indicate that the accuracy of the direct tire pressure detection system's detection results is mainly affected by temperature, vibration, and electromagnetic fields. These three indicators can be used to evaluate whether the tire pressure alarm is delayed or advanced. This study provides important references for improving the safety of automobile driving and promoting the development of intelligent safety technology.