For a long time, fuel management has been a major challenge in the individual vehicle accounting for an organization's transport vehicles and fuel-powered equipment. Due to the particularity of the environment where mobile equipment and field equipment are located, even with the investment of a large amount of human resources, problems such as great management difficulties and supervision blind spots still exist. Against this backdrop, relying on advanced technologies such as GPS, sensors, the Internet of Things (IoT), the Internet, big data analysis, and cloud computing, an integrated fuel equipment monitoring and early warning system has been established, which combines anti-theft, early warning, monitoring, alarm, and analysis functions. The system is designed and developed based on fuel-powered equipment. According to different needs, independently developed data collection and sensing devices are used to collect key technical parameters of the target objects, which are then transmitted back to the data pool. Relevant data is visually displayed on the client side, providing a scientific and reliable basis for fuel equipment management.