Cloud IoT Platform for Creating Intelligent Industrial Automation Systems

Prokhorov, Oleksandr; Pronchakov, Yurii; Prokhorov, Valeriy

doi:10.1007/978-3-030-66717-7_5

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…It should be noted that the integrated automation of the EChP system is fully consistent with the concept of Industry 4.0, which is based on the availability of complete and reliable digital data from "smart" devices as well as new opportunities for their remote monitoring and processing, real-time control and advanced analytics [13]. Moreover, a distinctive feature of Industry 4.0 is the developed methods of big data analytics using methods and tools from artificial intelligence, machine learning, data mining and predictive analytics.…”

Section: Introductionmentioning

confidence: 69%

Complete Integrated Automation of the Electrochemical Corrosion Protection System of Pipelines Based on IoT and Big Data Analytics

Prokhorov

Khussanov

et al. 2022

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This article is devoted to the issues of creating an adaptive intelligent system, for monitoring and controlling the technological process for electrochemical corrosion protection of main pipelines (MP), which has been designed for remote control of electrochemical protection (EChP) parameters and their optimization as well as adaptive control of the parameters of cathodic protection stations while taking into account changes in external conditions. The multi-objective problem of optimizing the operating modes of cathodic protection stations (CPS) is considered because optimization is carried out according to both the criterion of optimal distribution of the protective potential (uniform distribution of the protective total (pipe-to-soil) potential along the length of the pipeline) and to the criterion of the minimum total protective current of stations. The structure of the distributed electrochemical protection system is described in the article. A more complete picture of the protection of the pipeline and solving the problems of optimizing the electrochemical protection modes in real time is possible due to remote monitoring of control and measuring points (CMP) in the middle of the pipeline between neighboring cathodic protection stations, as well as in all corrosion and hazardous zones where they are also installed. In addition to the often-used GSM/GPRS networks in electrochemical protection systems, an energy-efficient LPWAN (Low-Power Wide-Area Network) data transmission network is also used and data collection is carried out using a cloud IoT platform. The functionality of the system is described, web application screens are shown in various operating modes for remote monitoring and control of the protective parameters of cathodic protection stations is reported. Analytical data processing for the tasks assessing the protection of objects in the pipeline system against corrosion are also shown. The system ensures that the electrochemical protection process is maintained at an optimal level between the destructive zones of “underprotection” and “overprotection”, taking into account monitoring data, geological conditions at the pipeline site, climatic or seasonal changes and other factors. In general, this system provides an increase in the reliability of the electrochemical protection system as a whole and, accordingly, it prevents possible emergency situations on the pipeline system while also reducing the cost of pipeline maintenance due to the reliability and continuity of protection.

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Section: Introductionmentioning

confidence: 69%

Complete Integrated Automation of the Electrochemical Corrosion Protection System of Pipelines Based on IoT and Big Data Analytics

Prokhorov

Khussanov

et al. 2022

Computation

Self Cite

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“…The industrial concept of Industrial 4.0 is a large-scale multi-level organizational and technical system [21,22], which involves a transition to fully automated digital manufacturing controlled by real-time intelligent systems, where cyber-physical systems are integrated into a single information space using industrial Internet of Things technology. One of the forms of implementation of the concept of Industry 4.0 in paper [23] considers an intelligent manufacturing system, which is formed by adopting new models, new forms and new methodologies to transform the traditional manufacturing system into an intelligent one, whose structure includes the following categories: smart design, smart machines, smart monitoring, smart management, and smart planning.…”

Section: Introductionmentioning

confidence: 99%

Concept of High-Tech Enterprise Development Management in the Context of Digital Transformation

2022

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The purpose of this article is to check and identify management gaps that lead to the formation of digitalization problems in enterprises in the context of Industry 4.0 and to offer a conceptual approach to managing the development of high-tech enterprises in digital transformation. The paper substantiates the concept of digital transformation management in a high-tech enterprise based on interdependent adaptive systems for planning digital transformation processes, monitoring, and change management. The paper considers the idea of the Industry 4.0 concept and presents principal technologies and tools that contribute to the gradual transition to digital transformation. It is determined that digital transformation is a process of transition to digital business, which involves the use of digital technologies to change business processes in the company and provision of new opportunities for additional income and development prospects. A conceptual model of enterprise competitiveness formation in the process of digital transformation has been developed, which includes organizational and economical digital tools for sustainable development of high-tech enterprises and synergies from the organization of new forms of digital interaction. The proposed methodology for managing the development of high-tech enterprises in the context of digital transformation is based on the formation of an ecosystem model of decentralization in a single distributed digital space, based on interconnected adaptive systems of planning, monitoring, and change management, and, on the basis of modeling and forecasting of complex manufacturing and logistics processes of high-tech industries, it allows effective implementation of the innovative order portfolio in the short term and with limited opportunities while coordinating the priorities of the business strategy and strategy of digital transformation of high-tech enterprises.

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Recognition of States of Radio-Emitting Objects Under A Priori Uncertainty Based on Neural Networks

Prokhorov

Shatalov

et al. 2022

2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TC

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Cloud IoT Platform for Creating Intelligent Industrial Automation Systems

Cited by 4 publications

References 4 publications

Complete Integrated Automation of the Electrochemical Corrosion Protection System of Pipelines Based on IoT and Big Data Analytics

Complete Integrated Automation of the Electrochemical Corrosion Protection System of Pipelines Based on IoT and Big Data Analytics

Concept of High-Tech Enterprise Development Management in the Context of Digital Transformation

Recognition of States of Radio-Emitting Objects Under A Priori Uncertainty Based on Neural Networks

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