Internet-of-Thing-based Remote Health Monitoring and Predictive Maintenance Strategies for Automobiles
With the rapid development of the Internet of Things and intelligent technology,remote health monitoring and predictive maintenance of vehicles have gradually become an important means to improve the safety of vehicle operation and reduce maintenance costs.The 2020"Intelligent Vehicle Innovation and Development Strategy"pointed out that"vehicle-cloud collaboration"should be realized to promote the intelligent process of vehicle health monitoring and fault prediction.The monitoring system based on the Internet-of-Thing architecture can collect real-time vehicle data through multiple sensors,realize efficient data transmission through low-latency networks such as 5G and LoRa,and intelligently analyze the vehicle status in combination with machine learning models.In this paper,a vehicle remote monitoring system is designed based on a multi-layer architecture,which realizes the collection,analysis and prediction of data,significantly improves the accuracy and timeliness of predictive maintenance,and effectively reduces the vehicle downtime rate.
Internet of ThingsRemote Health Monitoring of AutomobilesPredictive Maintenance
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