Abstract

The use of modern digital technologies during the industrial revolution enables to revise a number of approaches to the organization of technological processes, in particular when introducing approaches to the implementation of repair programs of energy enterprises. Through the example of the network planning and control system, the use of the overhaul activity schedule for generating equipment is considered, taking into account the logging of asbuilt documentation in a digital system, which is a software and technical complex made up of a centralized data storage system and a decentralized registry. The improvement of equipment, the development of diagnostic tools and methods directly affects the maintenance and repair system. In the maintenance system under development, it is planned to make a transition from statistical empirical assessments of the technical condition of equipment to objective ones based on automated technical diagnostics systems. On the basis of an algorithm for implementing a technical condition-based equipment repair program for energy enterprises, the authors proposed an algorithm for conducting technical supervision and recording the stages of work performed in a distributed register, based on the capabilities of modern digital data collection and processing systems. Obtaining parameter values for further use in the operation of the proposed algorithm is carried out on the basis of the capabilities existing at energy facilities of information-measuring and control systems. The use of the network planning and management system in the form of a network schedule and the algorithm proposed by the authors for conducting technical supervision and recording the stages of work performed during repair activities will make it possible to objectively determine the amount of labor resources necessary to perform the planned scope of work within the specified period, identify critical works delaying the completion of repair, actively manage repair by analyzing the progress of repair work and making reasonable organizational and technical decisions that ensure the performance of work within the planned time frame and at the lowest possible costs.

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