Remote monitoring platform for vehicles parameters and road interactions

• Autor(a) principal: Lopes, Ingrid Torres
• Data de Publicação: 2022
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/36204
• topic: Vehicle monitoring; Object detection; Intelligent vehicles; ECU; LiDAR; Database

With the recent evolution of the Internet of Things (IoT), as in different areas of everyday life, the Automotive Industry has also been having to adapt with the Internet of Vehicles (IoV). In consequence of this, the number of electronic systems and devices in an automobile is ever increasing. By one hand, this is a growing tendency of using these technologies to improve road safety, by decreasing the probability of human error. On the other hand, to guarantee the safety and proper function in the operation of vehicles it becomes necessary to acquire information and monitor these devices, so as to determine the cause of failures that may happen and of the equipment wear to prevent malfunctions and accidents. With that in mind, this work will have two branches. First, a program will be presented to read the data from the vehicle’s diagnostic system with the purpose of storing it in a database by using a data logger and of analysing the data to monitor the engine’s working parameters. With this analysis it will be possible to visualize the main parameters of the car and its devices, acquiring information to define the normal driving conditions so as to determine when some problem occurs, as well as to examine how the parameters change in consequence from the equipment wear. Meanwhile sensors will also be installed in the car that will be used for object detection of possible obstacles that the vehicle may come across in normal conditions, be it another vehicle, a person or objects. The readings acquired by the sensors will also be stored for analysis and treatment in order to get the desired information from them. This work also proposes that all the information stored in the database be easily consulted, in a web page, accessible at any time through any device connected to the internet with a Web browser. Therefore, drivers would be helped with the awareness of the vehicle’s surroundings and also be able to monitor the vehicle’s proper function and discover if problems should appear before it could cause major failures and safety breaches. In order to accomplish those goals, a solution using a LiDAR sensor, a GPS module, a Bluetooth module, an ELM327 diagnostic device and three Esp32 microcontrollers was developed. In this Dissertation will be described the developing processes and the solutions obtained that led to the solution of the problems approached here.