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Thesis project at Scania is an excellent way of making contacts for your future working life. Many of our current employees started their career with a thesis project.

The Scania Internet of Things (IoT) platform consist of several on-board networks communicating with an off-board network. The on-board network consist of vehicles (heavy trucks and busses) and engine products with sensors and Electronic Control Units (ECUs). The off-board network resides in central servers.

The on-board networks communicate with the Scania off-board network by a communication unit which sends and receives data over the telecom network. Data is processed off-board and used by a variety of microservices delivering data and handling functions for transportation customers.

Historically production data has been extensively used for testing purposes. That will no longer be possible when new legislation like General Data Protection Regulation (GDPR) prohibits that kind of use. New methods for generating large amounts of test data must be developed.

The thesis workers will try to find techniques and algorithms for generation of test data where it can be measured statistically that the data is truly representative, realistic and that both edge and mainstream cases are represented. Generated test data for connected vehicles that might be interesting is simulated driving trips, positions, vehicle failures, diagnostics data, operational data, driver behaviour, vehicle weights and different kinds of sensor streams. It should be possible to prove mathematically that these new methods are optimal concerning data distribution and data volumes compared to what they actually test. Finding these mathematical methods and if possible implementing them, will be an important part of the project.

To be able to continue to do testing on vehicle and driver data without violating the new GDPR legislation, new methods for generation of test data must emerge. These new techniques may also improve statistical analysis through the ability to test and train algorithms and methods for understanding our products and customers.

The goal is to find and describe one or several techniques, which, given production data from Scania’s IoT-platform, can generate new data that closely matches the properties of the input data. A test implementation is not required but will probably be very interesting and help move the reasoning and research forward.

Two thesis workers who are studying masters programmes in ICT, Electrical engineering, Vehicle engineering, Mechanical engineering, Industrial economics or similar.

Time plan
The project is planned for 20 weeks and can be started any time during the fall of 2017 or spring 2018.

Communication of the results
The results will be published in a report on Scania’s internal web and be shown in presentations at Scania and at the applicants’ university.

The project will be performed in the group ECCA Connected Services Architecture at Scania Research and development at Södertälje Syd. The group is responsible for descriptions and design of the systems architecture for parts of the Scania IoT platform. ECCA work in cooperation with architects, development engineers and system developers throughout the entire Scania.

Jakob Palmheden, ECCA , 0700-898729
Johan André, manager ECCA, 0700-877914

Sista sökdatum: 2017-12-31

Jobb Id: 20174972

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