Modeling of ontologies for automatic care organization
DOI:
https://doi.org/10.31649/2413-4503-2019-9-1-89-97Keywords:
ontology, ontology space, multiagents, maintenance, modernization, ontological modeling, carAbstract
At present, the maintenance system is not perfect and has shortcomings. With the introduction of ontological space and multi-agent systems, you can upgrade the adopted planning and warning system TO and R. Such a system will be based on the software and communication level. That is, in each car there will be a device that will carry out the diagnostics of the car each time when it will start the engine. All information from sensors and control units of all car systems will be transmitted to the server of the service center on which the car is attached. The program will analyze the data, and if it is going to be normal, then it will send a message and advice to the driver and the mechanics that this car serves. Also, the program will analyze the quality of the oil, brake pads and other materials and parts to prevent problems.
The introduction of ontologies to improve maintenance will allow maintenance so that the actual maximum use of the resource of any part, rather than the regulated mileage, when some parts have not used their resources to the fullest extent. It is possible to do this only with full diagnostics of the car, but to carry it each one for very costly. Therefore, the introduction of special devices to the car, and the use of ontologies and multi-agent systems at the maintenance station will make that the diagnosis of the car will be done at a distance and every time the engine starts.
The aim of the study is to develop an ontological space for car maintenance control, taking into account operational conditions and assessing its efficiency.
The approach to improving the existing maintenance system based on ontological modeling and using the knowledge base is proposed. This approach will provide a more flexible and adaptive conceptualization of the TO and R system.
Ultimately, it is concluded that ontology modeling for improving the TO and P of the car will help to automate the process and reduce the time spent by the car in the service center, as well as significantly reduce the cost of passing maintenance.
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