1.Background and Significance With the development of social economy, private cars play a more and more important role in our daily life and become an important mean of transportation. Therefore, vehicle maintenance is of crucial importance which closely related to safe driving and the service life of the car. After a long period of use, all the parts of the car will have different degrees of damage, thus reducing the safety and reliability of the vehicle, and even endangering the safe operation of driving. In general, car maintenance mainly includes maintaining good technical condition and prolonging the service life of vehicles. There are three main aspects: vehicle maintenance, the maintenance, the renovation of the body. The car mileage of 5000 km or 7000 km and half a year will be as index to pit for vehicle maintenance under common circumstances. However, the current vehicle maintenance cycles are not specific enough, and the vehicle owners are not familiar with the internal structure of vehicle. So there is some shortage on the current vehicle maintenance scheme. In the challenge competition, we design the mobile APP to achieve the monitoring of condition of vehicle usage. Some parameters of the inner vehicle can be read by the APP and it can reasonably distinguish the current condition of vehicle. And the users can choose the vehicle maintenance projects which are suit for them. Besides, by the information replayed in the mobile phone interface, the users can know more about the loss and damage of bad driving behavior, and change their driving habits, thus providing a certain safety travel. In a total, APP can effectively avoid the more safety accident comparing with the traditional vehicle maintenance, thus slowing down the road congestion caused by traffic accidents.
2.Objective Vehicle driving state can reflect the need of the vehicle maintenance project to a certain degree. Therefore, the study aims to establish the model of vehicle state estimation relying on the vehicle driving data collected by OPEN-XC. We propose the evaluation methods of vehicle maintenance project, and feedback the information to the users through the APP. By this way, we can encourage the drivers develop a healthy and correct habit of driving and vehicle maintenance. A reasonable vehicle maintenance scheme attribute to prolonging the service life of vehicle, reducing the possibility of vehicle burst troubles, thus slowing down the road congestion caused by traffic accidents.
Research Content 1) Collect vehicle state information by OPEN-XC and parse data. The OPEN-XC obtains the vehicle state data including state of odometer, steering wheel angle, wiper, oil level and so on. We parse vehicle state data then we will get the corresponding values. 2) Establish the model of vehicle maintenance and design the related algorithm to evaluate vehicle state. It is not accurate enough to maintain our cars only relying on the odometer and time the car run. So we will establish a more reasonable model by combining OPEN-XC data which is related to the vehicle maintenance. 3) Develop mobile APPs，process and analyze vehicle state data in real time ,then display the estimation of the vehicle state, remind the users to take some measures for maintenance.
Technical Case The OPEN-XC information collection platform provides the possibility for the access to a variety of vehicle data. We will make full use of a large number of vehicle state data collected by OPEN-XC when we develop APP based on Android. Then we make sure whether each part of the vehicles is in good condition or not. Finally we develop mobile applications which can visually display the vehicle maintenance level, and remind the users to maintain their vehicle in time.
Achievement We design five vehicle maintenance projects including the wiper maintenance, light maintenance, engine oil replacement maintenance, nozzle clean maintenance and Steering system maintenance. Firstly, we connect the OPN-XC to the vehicle interface, and the data obtained by the OPEN-XC is transferred to phone through Bluetooth. Then android App reads the OPEN-XC data in real time, then processes and analyzes the vehicle driving data by the algorithm we design, then result whether the five vehicle maintenance projects are good or not will be display. The following Screenshot shows about the five vehicle maintenance projects. When the good state background turn green and the bad state background turn gray, it means the maintenance is in good health. Otherwise, the good state background turn gray and the bad state background turn red, it means we need to have our cars maintained or fixed.
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