Automotive diagnosis data are useful for the automotive OEMs and third parties in order to analyze the vehicle performance and driving behavior. This data can be access and read in real time situation using the On-Board Diagnosis system which is located inside the vehicle and is accessible by its socket. However, as the diagnosis data are in real time and not being stored, analyzing them is not easy. Therefore, in this project, a program on Raspberry Pi will be developed which is going to read diagnosis data and store them in a cloud database. The cloud database will handle the data storage and keep the data for further analysis and evaluations. The database will be accessible everywhere as it is using cloud technology. On the other hand, in order to provide easy and meaningful access to the data, a web application is developed in order to visualize the data by means of Graphs, Texts, and maps.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:31585 |
| Date | 11 September 2018 |
| Creators | Zamani, Farshad |
| Contributors | Hardt, Wolfram, Heller, Ariane, Hardt, Wolfram, Heller, Ariane, Technische Universität Chemnitz |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/acceptedVersion, doc-type:masterThesis, info:eu-repo/semantics/masterThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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