Application of Digital Twin in Medium-Voltage Overhead Distribution Network Inspection
The paper is devoted to the digital transformation of the core engineering maintenance processes involved in medium-voltage overhead distribution network infrastructure inspection. The study presents an analysis of digital twin utilization for inspection of the infrastructure of medium-voltage overh...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/2/489 |
| _version_ | 1827622306171584512 |
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| author | Diana Gauce Arnis Lektauers Irina Solovjova Roberts Grants Deniss Kolosovs Anna Litvinenko |
| author_facet | Diana Gauce Arnis Lektauers Irina Solovjova Roberts Grants Deniss Kolosovs Anna Litvinenko |
| author_sort | Diana Gauce |
| collection | DOAJ |
| description | The paper is devoted to the digital transformation of the core engineering maintenance processes involved in medium-voltage overhead distribution network infrastructure inspection. The study presents an analysis of digital twin utilization for inspection of the infrastructure of medium-voltage overhead distribution networks. At present, the infrastructure monitoring process is still manual, and its automatization is a challenging task due to the large distances between and small dimensions of the elements involved. The proposed digital twin is employed for 3D infrastructure modeling and complex analysis based on photogrammetry and aerial scanning data processing methods. The paper describes practical use cases for these data-driven methods for specific infrastructure management processes, e.g., scheduled inspection processes, including geometrical parameter measurements and visual infrastructure element defect identification, unplanned inspection processes (state of emergency, post-storm, etc.), and vegetation management processes. The proposed method allows operations to be performed remotely without physical presence in the field. At the same time, data-driven solutions provide objective results and potential automation via machine learning algorithms, which are more profitable economically. As the proposed method allows processes to be performed remotely, these data-driven solutions offer cost-effective results for automation. The digital twin concept is applied to the Latvian medium-voltage overhead distribution network with the support of the Latvian distribution system operator “Sadales tīkls” JSC. |
| first_indexed | 2024-03-09T11:19:35Z |
| format | Article |
| id | doaj.art-d3e078b6bb3c44c5b215dfc0b73e34e9 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T11:19:35Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d3e078b6bb3c44c5b215dfc0b73e34e92023-12-01T00:22:28ZengMDPI AGRemote Sensing2072-42922023-01-0115248910.3390/rs15020489Application of Digital Twin in Medium-Voltage Overhead Distribution Network InspectionDiana Gauce0Arnis Lektauers1Irina Solovjova2Roberts Grants3Deniss Kolosovs4Anna Litvinenko5Institute of Radioelectronics, Riga Technical University 12 Azenes Street, LV-1048 Riga, LatviaInstitute of Information Technology, Riga Technical University, 10 Zunda Krastmala Street, LV-1048 Riga, LatviaDepartment of Finance and Accounting, University of Latvia, 5 Aspazijas Blvd, LV-1050 Riga, LatviaInstitute of Industrial Electronics and Electrical Engineering, Riga Technical University, 12A Azenes Street, LV-1048 Riga, LatviaInstitute of Radioelectronics, Riga Technical University 12 Azenes Street, LV-1048 Riga, LatviaInstitute of Radioelectronics, Riga Technical University 12 Azenes Street, LV-1048 Riga, LatviaThe paper is devoted to the digital transformation of the core engineering maintenance processes involved in medium-voltage overhead distribution network infrastructure inspection. The study presents an analysis of digital twin utilization for inspection of the infrastructure of medium-voltage overhead distribution networks. At present, the infrastructure monitoring process is still manual, and its automatization is a challenging task due to the large distances between and small dimensions of the elements involved. The proposed digital twin is employed for 3D infrastructure modeling and complex analysis based on photogrammetry and aerial scanning data processing methods. The paper describes practical use cases for these data-driven methods for specific infrastructure management processes, e.g., scheduled inspection processes, including geometrical parameter measurements and visual infrastructure element defect identification, unplanned inspection processes (state of emergency, post-storm, etc.), and vegetation management processes. The proposed method allows operations to be performed remotely without physical presence in the field. At the same time, data-driven solutions provide objective results and potential automation via machine learning algorithms, which are more profitable economically. As the proposed method allows processes to be performed remotely, these data-driven solutions offer cost-effective results for automation. The digital twin concept is applied to the Latvian medium-voltage overhead distribution network with the support of the Latvian distribution system operator “Sadales tīkls” JSC.https://www.mdpi.com/2072-4292/15/2/489medium-voltage overhead infrastructuregeospatial information systemdigital transformationphotogrammetryLiDAR3D model |
| spellingShingle | Diana Gauce Arnis Lektauers Irina Solovjova Roberts Grants Deniss Kolosovs Anna Litvinenko Application of Digital Twin in Medium-Voltage Overhead Distribution Network Inspection Remote Sensing medium-voltage overhead infrastructure geospatial information system digital transformation photogrammetry LiDAR 3D model |
| title | Application of Digital Twin in Medium-Voltage Overhead Distribution Network Inspection |
| title_full | Application of Digital Twin in Medium-Voltage Overhead Distribution Network Inspection |
| title_fullStr | Application of Digital Twin in Medium-Voltage Overhead Distribution Network Inspection |
| title_full_unstemmed | Application of Digital Twin in Medium-Voltage Overhead Distribution Network Inspection |
| title_short | Application of Digital Twin in Medium-Voltage Overhead Distribution Network Inspection |
| title_sort | application of digital twin in medium voltage overhead distribution network inspection |
| topic | medium-voltage overhead infrastructure geospatial information system digital transformation photogrammetry LiDAR 3D model |
| url | https://www.mdpi.com/2072-4292/15/2/489 |
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