Architecture of a Cyber-Physical System for the Mining Enterprise Ventilation Control Based on the Internet of Things Platform

The article considers the architecture of the ventilation control system for underground mining enterprises, equipped with a digital twin with online functions such as simulation modeling and predictive analytics. The system is focused on the main fan unit (MFU) control taking into account changing parameters of external air supplied to mine shafts. In contrast to the existing ones, the proposed method of control takes into account the influence of these parameters on changes in the total volume of natural draught, on which the total volume of air supplied to the mine (mine) depends. It is known that ventilation systems of such enterprises consume from 30 to 50 % of all electricity consumed for the mining process. In this regard, the proposed control models can be used to optimize energy costs and energy savings in ventilation. The Internet of things (IoT) InfluxData of stack TICK is offered for the realization. The offered architecture of cyber-physical system (CPS) consists of four subsystems: physical object subsystem, network and computing infrastructure IoT, digital twin, user interface. Architecture of CPS provides data processing from energy meters, control controllers and sensors of air environment parameters, implemented in blocks of on-line and off-line calculations. The digital twin of the ventilation system is made with the use of a time series database and a database of attributes that store information on changes in equipment parameters by time, air indicators, performance indicators, statistics on accidents and fan runtime, CPS characteristics, etc. CPS of the given architecture means connection of additional data sources, providing calculations of rational volumes of air delivery taking into account safety norms and requirements of energy efficiency.

1. Lyalkina G. B., Nikolaev A. V., Makarychev N. S. Creation of the Information System Based on Experimental Data for Control of the MMF Operating Modes to Improve the Efficiency of Ventilation in Mines, Journal of Physics: Conference Series, 2018, vol. 1059, Art. 012013, pp. 1—8.

2. Alymenko N. I., Nikolaev A. V., Kamenskikh A. A., Petrov A. I. Results of the mathematical modeling of the cold and warm air flows mixing in the air supply shaft of the mine, Gornoe Oborudovanie i Elektromekhanika, 2014, no. 12, pp. 31—33 (in Russian).

3. Aitao Z., Wang K. Role of gas ventilation pressure on the stability of airway airflow in underground ventilation, Journal of Mining Science, 2018, vol. 54, iss. 1, pp. 111—119.

4. Lyalkina G. B., Nikolaev A. V., Makarychev N. S. Factors influencing strength and direction of natural ventilation pressure in general mines to control mine airing, IOP Conf. Series: Materials Science and Engineering, 2020, vol. 795, 5 p.

5. Xu Bin, Zheng Jianying, Wang Qing. Analysis and Design of Real-time Micro-environment Parameter Monitoring System Based on Internet of Things, IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2016, pp. 368—371.

6. Gubbi J., Buyya R., Marusic S., Palaniswami M. Internet of Things (IoT): A vision, architectural elements, and future directions, Future generation computer systems, 2013, vol. 29, no. 7, pp. 1645—1660.

7. Jell T., Bröring A., Mitic J. BIG IoT — Interconnecting IoT Platforms from different domains, International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2017, pp. 86—88.

8. Mijić D., Varga E. Unified IoT Platform Architecture Platforms as Major IoT Building Blocks, 2018 International Conference on Computing and Network Communications (CoCoNet), 2018, pp. 6—13.

9. Kychkin A. V., Artemov S. A., Belonogov A. V. The distributed power monitoring system of a real time on the basis of IoT technology, Datchiki i Sistemy, 2017, no. 8—9, pp. 49—55 (in Russian).

10. Alymenko N. I., Nikolaev A. V. Influence of mutual alignment of mine shafts on thermal drop of ventilation pressure between the shafts, Journal of Mining Science, 2011, vol. 47, no. 5, pp. 636—642.

11. Mohirev N. N., Radko V. V. Engineering Calculations of Mine Ventilation. Construction. Reconstruction. Exploitation, Moscow, Nedra-Business Center, 2007, 324 p. (in Russian).

12. Lyal’kina G. B., Nikolaev A. V. Natural draught and its direction in a mine at the preset confidence coefficient, Journal of Mining Science, 2015, vol. 51, no. 2, pp. 342—346.

13. Alymenko N. I., Nikolaev A. V. Calculation of the equivalent aerodynamic resistance of an underground part of the projected mine for determination of the natural thrust acting between the shafts, Geologiya, Geofizika i Razrabotka Neftyanyh i Gazovyh Mestorozhdenij, 2010, no. 12, pp. 68—69 (in Russian).

14. Chhokra A., Hasan S., Dubey A., Mahadevan N., Karsai G. WiP Abstract: Diagnostics and Prognostics Using Temporal Causal Models for Cyber Physical Energy Systems, 2017 ACM/IEEE 8th International Conference on Cyber-Physical Systems (ICCPS), 2017, pp. 87—88.

15. Kuzh S. A., Tsvetkov V. Ya. Network centric control and the cyberphysical systems, Obrazovatel’nye Resursy i Tekhnologii, 2017, no. 2(19), pp. 86—91 (in Russian).

16. Tsvetkov V. Ya. Distributed intellectual management, Gosudarstvennyj Sovetnik, 2017, no. 1, pp. 16—22 (in Russian).

17. Kuz’min V. A. Optimal heating: maintenance of the nonequilibrium temperature field in the multichamber system with minimum energy consumption, Programmnye Sistemy: Teoriya i Prilozheniya, 2018, vol. 9, no. 3(38), pp. 29—47 (in Russian).

18. Pugovkin A. V., Kuprekov S. V., Abushkin D. V., Zarechnaya I. A., Muslimova N. I. Mathematical model of a space heat supply for the energy-saving ACS, Doklady TUSUR, 2010, no. 2 (22), part 1, pp. 293—298 (in Russian).

19. Panferov V. I., Anisimova E. Yu., Nagornaya A. N. To theory of a mathematical modeling of the building thermal mode, Vestnik YUUrGU, 2006, no. 14, pp. 128—131 (in Russian).

20. Kychkin A. V., Dadenkov D. A., Bilalov A. B. Automated information system of the semi-nature modeling of the electric drive static load, Vestnik PNIPU. Elektrotekhnika, Informacionnye Tekhnologii, Sistemy Upravleniya, 2013, no. 8, pp. 73—83 (in Russian).

21. Hou L., Zhao S., Xiong X., Zheng K., Chatzimisios P., Hossain M. S., Xiang W. Internet of Things Cloud: Architecture and Implementation, IEEE Communications Magazine, 2016, vol. 45 (12), pp. 32—39.

22. Tao F., Zuo Y., Xu L., Zhang L. IoT-based intelligent perception and access of manufacturing resource toward cloud manufacturing, IEEE Transactions on Industrial Informatics, 2014, vol. 10, no. 2, pp. 1547—1557.

23. Kychkin A. V., Mikriukov G. P. Processing method for the monitoring results processing of the energy consumer group, Energobezopasnost’ i Energosberezhenie, 2016, no. 6, pp. 9—14 (in Russian).

24. Kelly S. D.T., Suryadevara N. K., Mukhopadhyay S. C. Towards the implementation of IoT for environmental condition monitoring in homes, IEEE Sensors Journal, 2013, vol. 13, no. 10, pp. 3846—3853.

25. Guan L. Preparation of future weather data to study the impact of climate change on buildings, Building and Environment, 2009, vol. 44, no. 4, pp. 793—800.

26. Itskovich E. L. Modern algorithms of the automatic regulation and their use at the enterprises, Avtomatizaciya v Promyshlennosti, 2007, no. 6, pp. 39—44 (in Russian).

27. Rotach V. Y. About adaptive control systems with current identification, Avtomatizaciya v Promyshlennosti, 2004, no. 6, pp. 3—6.

28. Waczowicz S., Klaiber S., Bretschneider P., Konotop I., Westermann D., Reischl M., Mikut R. Data mining to analyse the effects of price signals on household electricity customers, Automatisierungstechnik, 2014, 62, pp. 740—752.

29. Nikolaev A. V., Alymenko N. I., Kamenskikh A. A., Nikolaev V. A., Alymenko D. N., Petrov A. I. Factors defining value and direction of thermal drop between mine shafts and impact of general mine natural draft on ventilation process of underground mining companies, Actual Issues of Mechanical Engineering (AIME 2017): proceedings of the International Conference, 2017, pp. 561—566.

30. Nikolaev A., Alymenko N., Kamenskih A., Nikolaev V. The results of air treatment process modeling at the location of the air curtain in the air suppliers and ventilation shafts, The 1st Scientific Practical Conference International Innovative Mining Symposium (in memory of Prof. Vladimir Pronoza), 2017, vol. 15, p. 7.