The Intelligent Control System of Economic Entities Based on the Combined Use of IoT and Unmanned Technologies

The development of an intelligent control system implies the creation of a hardware/software package designed for the maximally accurate recreation (emulation) of human decision-making methods. Unlike various forms of computer modeling, which simulate the behavior of some abstract models, the emulation proposed in the paper involves the processes of adaptation, learning and planning in conditions of uncertainty, as well as the processing of significantly large amounts of data. The hardware/software package is based on the combined use of IoT and unmanned technologies. Convergence of these technologies on the basis of a single information IoT platform allows significantly expanding the range of problems to be solved related to adaptive (intelligent) control of economic entities in conditions of uncertainty. In particular, the data (including multispectral data) of remote monitoring conducted by multicopters, combined with real-time sensor readings of IoT devices, can provide the necessary information base for extracting contextual knowledge and, thus, ensure prompt management decisions.