Digital twins of complex technical objects are widely applied for various domains, rapidly becoming smart, cognitive and autonomous. However, the problem of digital twins for autonomous management of enterprise resources is still not fully researched. In this paper, an autonomous digital twin of enterprise is introduced to provide knowledge-based multi-agent adaptive allocation, scheduling, optimization, monitoring and control of tasks and resources in real time, synchronized with employees’ plans, preferences and competencies via mobile devices. The main requirements for adaptive resource management are analyzed. The authors propose formalized ontological and multi-agent models for developing the autonomous digital twin of enterprise. A method and software toolset for designing the autonomous digital twin of enterprise, applicable for both operational management of tasks and resources and what-if simulations, are developed. The validation of developed methods and toolsets for IT service desk has proved increase in efficiency, as well as savings in time and costs of deliveries for various applications. The paper also outlines a plan for future research, as well as a number of new potential business applications.

No abstract

The paper describes a development of models, methods and tools for creating a digital platform for coordinated planning of heterogeneous orbital constellations for Earth remote sensing, which can include from several dozens to hundreds of small satellites. These orbital constellations are created in response to the massive increase in the load on currently operating systems. New systems, in comparison with traditional single satellite, impose much more tough requirements on methods and means of planning, and only a few of the existing solutions can at least partially correspond to them. Thus, there is a need to develop new planning approaches that take into account the domain semantics more deeply. As one of such approaches, the paper presents expanded application of multi-agent technology. The essence of this approach lies in numerous negotiations between agents of imaging applications through mutual compromises and concessions. And the desired efficiency is achieved by searching for the global optimum for each application and using this information in a targeted search for a general solution for the entire system. The paper provides a problem statement of planning the operation of an orbital constellation for Earth remote sensing. Furthermore, it describes the developed method, which makes it possible to process applications for imaging observation objects in real time. The paper also presents results of experimental studies that demonstrate efficiency of the developed multi-agent method in solving this problem versus traditional approaches. The architecture of the developed system is proposed, describing the functions of the main modules and screens. The obtained results and prospects for further development and application of the developed approach are discussed both for solving complex problems of adaptive control of small satellite constellations in mission control centers on Earth, and for creating a distributed space system "Swarm of satellites" for operation in open space.

The paper considers development of an intelligent system for real-time management of groups of small satellites, as well as an approach to its implementation built on the basis of multi-agent technology. It discusses the main disadvantages of traditional planning systems currently used to manage various space missions, which complicate their application with new-generation multi-satellite orbital groups. A brief problem statement for planning the operation of a space observation system is given. The architecture of the developed system is proposed, describing the functions of the main modules and screens, which make it possible to process applications for imaging of observation objects entering the system in real time. Results of experimental studies are also presented. They demonstrate applicability of the proposed approach to solving problems of managing groups of small satellites to increase efficiency of using resources of the space system. Finally, the prospects for development and application of the system are discussed.