INNOVATIONS


Original Paper

 

UDC 64.7:681.5 © A.O. Rada, A.D.Kuznetsov, R.E. Zverev, A.O. Akulov, 2022

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2022, № S12, pp. 149-154

DOI: http://dx.doi.org/10.18796/0041-5790-2022-S12-149-154

 

Title

PROSPECTS FOR MONITORING THE STATE OF THERMAL NETWORKS BY THERMAL VISION SURVEY

 

Authors

Rada A.O.1, Kuznetsov A.D.1, Zverev R.E.1, Akulov A.O.1

1 Kemerovo State University, Kemerovo, 650000, Russian Federation

 

Authors Information

Rada A.O., PhD (Economic), Director of Institute of Digitalization, e-mail: rada.ao@kemsu.ru

Kuznetsov A.D., Director of the Center for Computer Engineering of Institute of Digitalization, email: edu@i-digit.ru

Zverev R.E., Technician of the first category of the Center for Computer Engineering of Institute of Digitalization, r.zverev@i-digit.ru

Akulov A.O., PhD (Economic), Associate Professor of the Department of Management named in honor I.P. Povarich; akuanatolij@yandex.ru

 

Abstract

Existing methods for monitoring the pipeline economy have significant limitations in terms of complexity and cost, which makes it difficult to use them to control the state of urban heating networks. The paper considers the use of photography and thermal imaging for monitoring over ground heating networks of the city of Kemerovo. In the course of the study, a digital twin of above-ground heating networks was obtained in the visible and infrared spectra. Thermal imaging data allow identifying sections of networks with elevated temperatures corresponding to different degrees of damage to pipes and their insulation. The thermal imaging image corresponds to one pixel of the section of the heating main under consideration. As a result of the work, the owner of the heating networks was provided with complete information on temperature anomalies of pipes, indicating the exact geographical coordinates. This made it possible to plan repairs much faster and more efficiently, since there is no need for a complete inspection of pipes; only problem areas that have already been identified can be analyzed.

 

Keywords

Object scanning, thermal networks, heat leakage, thermal imaging, unmanned aerial vehicle, geographic information systems, digital control, software development.

 

References

1. Montgomery K., Henry J.B., Vann M.C., Whipker B.E., Huseth A.S. & Mitasova H. Measures of canopy structure from low-cost UAS for monitoring crop nutrient status. Drones, 2020, 4(3), 36. DOI: 10.3390/drones4030036.

2. Rada A.O. & Kuznetsov A.D. Digital inventory of agricultural land plots in the Kemerovo Region. Foods and Raw Materials, 2022, 10(2), pp. 206–215. DOI: 10.21603/2308-4057-2022-2-529.

3. Iizuka K., Itoh M., Shiodera S., Matsubara T., Dohar M. & Watanabe K. Advantages of unmanned aerial vehicle (UAV) photogrammetry for landscape analysis compared with satellite data: A case study of post mining sites in Indonesia. Cogent Geoscience, 2018, 4(1), 1498180. DOI: 10.1080/23312041.2018.1498180.

4. Li J., Zhou L. & Ying B. A study on intelligent recognition method of high-voltage line faults in mountainous areas based on UAV aerial photography. Journal of Physics: Conference Series, 2020, 2037(1), 012100. DOI:10.1088/1742-6596/2037/1/012100.

5. Fotina N.V., Emelianenko V.P., Vorob’eva E.E., Burova N.V. & Ostapova E.V. Contemporary biological methods of mine reclamation in the Kemerovo Region – Kuzbass. Food Processing: Techniques and Technology, 2021, 51(4), pp. 869–882. (In Russ.). DOI: 10.21603/2074-9414-2021-4-869-882.

6. Ren H., Zhao Y., Xiao W., Yang X., Ding B. & Chen C. Monitoring potential spontaneous combustion in a coal waste dump after reclamation through unmanned aerial vehicle RGB imagery based on alfalfa aboveground biomass. Land Degradation & Development, 2022, 33(15), pp. 2728–2742. DOI: 10.1002/ldr.4297.

7. Yankovskaya A. & Travkov A. Bases of intelligent system construction of the pipeline technical condition diagnostics. Journal of Physics: Conference Series, 2019, (1145), 012009. DOI: 10.1088/1742-6596/1145/1/012009.

8. Song S.P. & Ni Y.J. Ultrasound imaging of pipeline crack based on composite transducer array. Chinese Journal of Mechanical Engineering, 2018, (31). DOI: 10.1186/s10033-018-0280-z.

9. Pogodin A.K. In-pipe diagnostics of pipelines by ultrasonic panoramic thickness measurement. Energy Security and Energy Saving, 2018, (2), pp. 34–37. (In Russ.).

10. Golyshev S.N. & Donchenko M.A. Diagnosis of the state of polymer reinforced pipelines with unbound layers. Gas Industry, 2021, (S1), pp. 144–147. (In Russ.).

11. Juliano T.M., Meegoda J.N., Asce F. & Watts D.J. Acoustic emission leak detection on a metal pipeline buried in sandy soil. Journal of Pipeline Systems Engineering and Practice, 2013, 4(3), pp. 149–155. DOI: 10.1061/(ASCE)PS.1949-1204.0000134.

12. Pronin V.V. New technologies for ultrasonic thickness measurement: from linear scanning to multi-circuit methods for digital focusing of an antenna array. Diagnostics, 2017, (1), pp. 14–19. (In Russ.).

13. Polenova L.V., Chernovets N.B., Ivanov N.V. & Chuiko D.E. On the methods of non-destructive testing used to diagnose pipelines of heating networks. In The World of Non-Destructive Testing, 2009, (4), pp. 25–28. (In Russ.).

14. Zaporozhets A. System for diagnosing main pipelines of heat networks based on UAVs. International Journal “NDT Days”, 2019, 2(1), pp. 69–77.

 

Acknowledgements

The work was performed under agreement No. 075-15-2022-1195 dated September 30, 2022, concluded between the Ministry of Science and Higher Education of the Russian Federation and the Federal State Budgetary Educational Institution of Higher Education «Kemerovo State University».

For citation

Rada A.O., Kuznetsov A.D., Zverev R.E. & Akulov A.O. Prospects for monitoring the state of thermal networks by thermal vision survey. Ugol’, 2022, (S12), pp. 149-154. (In Russ.). DOI: 10.18796/0041-5790-2022-S12-149-154.

 

Paper info

Received November 1, 2022

Reviewed November 15, 2022

Accepted November 30, 2022

СПЕЦИАЛЬНЫЙ ВЫПУСК



Свежий выпуск
Мы во ВКонтакте
Партнеры

Полезные ссылки