The concept of the creation of universal smart machines for power systems and critical infrastructure is discussed herein in terms of digital economy requirements. The functional requirements for a universal smart machine for sustainable energy systems are systematized based on a comparative analysis of technology. The requirements determine the approaches to the implementation of software, hardware and design solutions that provide diagnostics and monitoring of the energy state of infrastructures, systems for individual and collective power supply, life support systems of buildings, the state of household appliances, IoT devices, and devices of the housing and utilities sector. The recommendations on the constructive implementation of smart machines are given, making it possible to improve the existing approaches to quality assessment of the services provided in the energy industry. The concept of universal smart machines opens up the opportunities to increase the efficiency of providing the industry and households with a new type of information management services in the field of control over energy infrastructure as one of the main components of the digital economy.

One of the most important problems of creating new and also modernizing and operating the existing industrial equipment is to provide it with technical diagnostic tools. In modern systems, most diagnostic problems are solved by vibration monitoring methods, and they form the basis of this process. For several years already, when creating new responsible equipment, many manufacturers have completed it with monitoring and diagnostic systems, often integrating them functionally with automatic control systems. This paper discusses the methods of servicing industrial equipment, focusing on predictive maintenance, also known as actual maintenance (maintenance according to the actual technical condition).The rationale for the use of wireless systems for data collection and processing is presented. The principles of constructing wireless sensor networks and the data transmission protocols used to collect statistical information on the state of the elements of industrial equipment, depending on the field of application, are analyzed. The purpose of the study is to substantiate the feasibility of using wireless sensor networks as technical diagnostic tools from both economic and technical points of view. The result is the proposed concept of the predictive maintenance system. The paper substantiates the model of optimization of predic-tive repair using wireless sensor networks. This approach is based on minimizing the costs of maintenance of equipment. The presented concept of a system of predictive maintenance on the basis of sensor networks allows real-time analysis of the state of equipment. The approach allows implementing smart management of technologies in companies for ensuring stability of functioning.

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The present article presents an approach to evaluating the transformation of the industrial complex in the context of deep penetration of digital technologies into the material sector of the economy. The authors propose a theoretical research platform based on the theory of a new industrial society, substantiate a methodology, which comprises reproduction, institutional and synergetic approaches. The study showed that the transformation of the industrial complex, caused by any factors and implemented in any conditions, is always a discrete process of qualitative changes, resulting in significant structural changes and institutional transformations. The authors proposed a methodology to define the stages of industrial complex transformation in a digital economy. The authors’ model of the digitization process consists of five stages – primary information and communication digitization; electronic data exchange with external partners; use of specialized software; electronic data exchange with external partners. Within this framework, an empirical analysis was carried out to determine the digitization level of the industrial complex of Russia that implies a sufficiently high degree of primary computerization, the involvement of the industrial enterprises in the “digital” communication with counterparties and the dynamic software development. The study shows that the process of digital transformation of the Russian industry is still in its formative stages.