Integration with Existing Information Systems to Develop a Control System for a Highly Autonomous Vehicle

It is necessary to develop a control system to solve the problem of highly autonomous vehicle (HA V) control in agriculture. It is also necessary to solve the problem of integration with information systems existing at a certain agricultural enterprise to considering the features of HA V, processing tools, fields, agricultural crops and other entities of this doamin. Different enterprises may use different information systems with completely different data models. Thus, the task arises of building a data storage that the HA V control system can access. It is necessary to get data from existing systems and place them in a data storage during the integration process, followed by transformation and preprocessing. This problem solving by using data extraction, transformation and loading (ETL) methods. It is also necessary to abstract from the implementation details of the data storage models. The storage data model may change, which will require changes to the data acquisition algorithms for control algorithms. A solution to the problem of unifying data from various information systems that have equal semantics is also required. Solving these problems is possible using virtual knowledge graphs (VKG). This paper proposes models, algorithms and tools for building a data storage using VKG to develop a HA V control system for agriculture. The proposed approach allows to solve all the identified problems.