Vehicle Engine Condition Monitoring System Design

In order to detect and monitor the vehicle engine status in real time, a vehicle status management system is designed. The optimal indexes of each parameter in the normal historical data of the system are obtained based on statistical analysis, data mining and other methods; the current state of the vehicle is judged by combining sensor anomaly detection and graphical analysis methods; an early warning model is established, and the health status of each sub-system as well as the system as a whole is evaluated and predicted through the neural network prediction method based on LSTM. At the same time, the Beidou monitoring terminal is used to transmit data to achieve remote monitoring of the vehicle's engine status, and the RSA encryption algorithm is designed to encrypt the information to ensure information security. Experimental tests show that this system can realise remote real-time detection and monitoring of vehicle engine health status.