Presenting an architecture for a vehicle health monitoring center based on connected vehicles

Today, with the progress of the automotive industry and its ancillary industries, as well as the progress of the communication and telecommunications industries, and as a result of the growth and development of ITS, a new approach has emerged in automotive companies and their accessory manufacturers to provide service to vehicles in the event of breakdowns and problems. In the meantime, a special method based on receiving information from the vehicle with the help of the OBD II device has become more prominent. In most existing methods, the goal is to transfer the vehicle data collected from the sensors and other parts of the vehicle by the vehicle ECU to a server or application program using OBD II in order to use this data to detect vehicle defects. In most of the research and methods presented, the focus has been on one or a few parameters in the ECU, for example, working on parameters that indicate correct fuel consumption so that if there is a defect in the vehicle and its polluting properties, the defect can be fixed to help protect the environment. In this article, the goal is to present an architecture for a vehicle health monitoring center based on connected vehicles. This project aims to provide a monitoring center to take steps in diagnosing vehicle defects and ensure the health of the vehicles connected to this center. In this regard, an application under the Android operating system has been developed, so that after connecting the OBD II device to the vehicle, it connects to it using Bluetooth and transfers the data that this device reads from the ECU to the user's mobile phone and, while storing it in the phone, sends it to the monitoring center server, where the data is analyzed and with its help, possible vehicle damage is detected and action is taken to fix it. Our main goal is to design an architecture for the monitoring center. After evaluating its efficiency in comparison with existing methods, the proposed method was shown to be more complete in terms of quality than all of them, and its implementation was also determined to be easier and more cost-effective. Also, in the quantitative evaluation of the data obtained from testing the proposed method on the Peugeot 206 car, interesting results were obtained from the data continuity of the parameters and the relationships between them, which can be used to introduce the appropriate model of vehicle behavior. In addition to introducing the appropriate model in the behavior of a perfect vehicle with respect to the health of the tested vehicle, a series of relationships were presented that were obtained after analyzing the data received from the vehicle.