Cloud solutions for data integration and analysis in remote vehicle monitoring
DOI:
https://doi.org/10.63341/vjmet/2.2024.109Keywords:
cloud technology; data analysis; vehicles; Internet of Things; information transfer; cloud environment; intelligent transportation systemsAbstract
The research work is aimed at studying, developing and optimising a system for integrating diagnostic data with cloud platforms to implement remote monitoring of motor vehicles. The results of this research will not only help to increase the efficiency and availability of vehicle maintenance, but also identify new areas of development in the field of transport technology and cloud technologies. The paper also addresses the issues of data security, information transfer efficiency, and scalability of solutions, which are key to the reliable operation of remote monitoring systems. Ensuring the confidentiality and integrity of data is a top priority, requiring the implementation of advanced encryption and access control methods. The efficiency of information transmission plays a crucial role in the face of a large amount of data coming from vehicles, and the scalability of the systems allows them to adapt to the growing needs of enterprises. Future systems will allow, if necessary, downloading specialized diagnostic methods for troubleshooting from a remote service centre; standardization of functionality and interfaces of on-board vehicle monitoring systems of different manufacturers to reduce the range of test and diagnostic equipment. In addition, the emphasis is placed on the practical aspects of applying cloud technologies in real-world transportation systems. The practical approach involves analysing specific cases and examples of the use of cloud platforms for monitoring various types of vehicles. In particular, the paper considers the implementation of cloud solutions in road transport companies, railway companies and sea carriers. The conclusions of the paper include recommendations for the implementation and optimisation of cloud-based solutions for vehicle monitoring, which can reduce maintenance costs, improve the safety and efficiency of transport systems. Combining diagnostic data with cloud-based platforms for remote maintenance is becoming a response to the challenges of the modern automotive industry. The integration of these technological solutions is aimed at improving the quality of service, ensuring operational safety, and reducing maintenance time and costs
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