Industrial metaverse is a new direction for development of industrial enterprises. Nowadays the process of full understanding term “industrial metaverse”, its conception, its effectiveness for enterprises is not actualy completed. The methodology, tools, and methods for building an industrial metaverse have not been clearly defined. Therefore, it is advisable to experimentally implement a part of the metaverse on one or several processes with future scaling to other processes. The process of industrial machinery repair and maintenance is proposed as an experimental zone for implementing the industrial metaverse. This process is well suited as an experimental zone. Launching the industrial metaverse concept on it will solve a number of problems, such as the diversity of equipment with unique diagnostic and repair methods, human errors made during repair work, etc. This article presents the concept of building and the architecture of industrial metaverse. A general description of the physical, cyber-physical, and social spaces and the interaction layer between them is provided, without any details of qualitative and quantitative indicators. The avatar of a service engineer is highlighted as one of the elements of the cyber-physical space. The process of creating an avatar of a cyber-physical service engineer is considered: a description of the main functionality is provided, it is shown that a combined system of wearable devices – a glove and a video camera integrated into glasses, a vest, a helmet, or represented by an independent device – is sufficient for its creation. Laboratory experiments were conducted, where the created avatar was tested to determine the task of servicing a centrifugal pump. The results of processing 518 experimental datasets of 10 points, each of which belongs to one of six classes corresponding to a specific technological operation during servicing of a centrifugal pump are shown. Three types of models were obtained (accuracy on training data 0.99; 1.0; 1.0, accuracy on test data 0.625; 0.7; 1.0). It has been shown that achieving 1.0 accuracy on training and test data requires first identifying features representing frequency and temporal characteristics obtained through time series processing. The obtained results allow to make conclusions about the readiness of these technologies for industrial implementation.

In the case of phosphoric furnace the influence of changes in voltage and current to the power distribution in ore-smelting furnaces between the arc shunt resistance and melt are considers.

The block diagram of the neural network controller design for complex technological processes is described. Shows the principle of its operation.

Today at management system engineering by metallurgical processes used to special methods of the control theory such as optimal, nejro-fuzzy and adaptive methods. First of all, it is connected with increase of problems complexity maintained in control process. In article possibility of application of neural networks is considered at improvement of a control system by process of mine roasting of limestone, are described the neural network scheme controls and the basic stages of its construction.

Today a considerable quantity of various functions on management of difficult technological processes is assigned to shoulders of operators. Very often quality of a received product and correct accident-free operation of the equipment depends on their actions. In given article the short review of existing programmno-training complexes for training of operators of technological processes of oil and gas branch is presented, the basic problems of development of computer training apparatus, and also ways of their improvement are designated.

Today at management system engineering by metallurgical processes used to special methods of the control theory such as optimal, neuro-fuzzy and adaptive methods. First of all, it is connected with increase of problems complexity maintained in control process. In article possibility of application of neural networks is considered at improvement of a control system by process of mine roasting of limestone, are described the neural network scheme controls and the basic stages of its construction.

The atmospheric column is a complex technological object. This is explained by the complexity of technological processes inherent to it and which are revealed through a significant number and variety of parameters of the processes defining their evolvement, numerous internal communications between parameters and their mutual influence. Accordingly, there appear problems with control over this installation in production plants. The given research is carried out to create an automated control system for the atmospheric column. The paper describes the design and the processes taking place in the atmospheric column. Its model was created with the HYSYS software by Aspentech. Basic input and output values for process, their correlation, ways to regulate, the purpose and criteria of control are determined by means of this model.