Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intelligent Data Analysis
This paper promotes water distribution networks’ (WDNs) sustainability and efficiency by integrating intelligent data analysis with ground-penetrating radar (GPR) to better interpret GPR images for detecting water leaks, favouring their asset assessment. This work uses GPR data from a laboratory set...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/69/1/121 |
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| _version_ | 1849342274281930752 |
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| author | Samira Islam David Ayala-Cabrera |
| author_facet | Samira Islam David Ayala-Cabrera |
| author_sort | Samira Islam |
| collection | DOAJ |
| description | This paper promotes water distribution networks’ (WDNs) sustainability and efficiency by integrating intelligent data analysis with ground-penetrating radar (GPR) to better interpret GPR images for detecting water leaks, favouring their asset assessment. This work uses GPR data from a laboratory setting to investigates the effects of various parameters on image interpretability across pipes. This methodology aims to advance the automation of leak and pipe identification, improving data interpretation and reducing dependency on human experts for leakage detection purposes. The findings suggest the possibility of uncovering new features enhancing GPR image interpretability, presented in 3D models. |
| format | Article |
| id | doaj-art-5b01635337b548daa9b09863245e6c70 |
| institution | Kabale University |
| issn | 2673-4591 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-5b01635337b548daa9b09863245e6c702025-08-20T03:43:26ZengMDPI AGEngineering Proceedings2673-45912024-09-0169112110.3390/engproc2024069121Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intelligent Data AnalysisSamira Islam0David Ayala-Cabrera1CWRR-School of Civil Engineering, University College Dublin, D04 V1W8 Dublin, IrelandCWRR-School of Civil Engineering, University College Dublin, D04 V1W8 Dublin, IrelandThis paper promotes water distribution networks’ (WDNs) sustainability and efficiency by integrating intelligent data analysis with ground-penetrating radar (GPR) to better interpret GPR images for detecting water leaks, favouring their asset assessment. This work uses GPR data from a laboratory setting to investigates the effects of various parameters on image interpretability across pipes. This methodology aims to advance the automation of leak and pipe identification, improving data interpretation and reducing dependency on human experts for leakage detection purposes. The findings suggest the possibility of uncovering new features enhancing GPR image interpretability, presented in 3D models.https://www.mdpi.com/2673-4591/69/1/121WDNsGPR interpretation3D visualizationswater leakageintelligent data analysis |
| spellingShingle | Samira Islam David Ayala-Cabrera Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intelligent Data Analysis Engineering Proceedings WDNs GPR interpretation 3D visualizations water leakage intelligent data analysis |
| title | Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intelligent Data Analysis |
| title_full | Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intelligent Data Analysis |
| title_fullStr | Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intelligent Data Analysis |
| title_full_unstemmed | Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intelligent Data Analysis |
| title_short | Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intelligent Data Analysis |
| title_sort | three dimensional reconstruction of water leaks in water distribution networks from ground penetrating radar images by exploring new influencing factors with multi agent and intelligent data analysis |
| topic | WDNs GPR interpretation 3D visualizations water leakage intelligent data analysis |
| url | https://www.mdpi.com/2673-4591/69/1/121 |
| work_keys_str_mv | AT samiraislam threedimensionalreconstructionofwaterleaksinwaterdistributionnetworksfromgroundpenetratingradarimagesbyexploringnewinfluencingfactorswithmultiagentandintelligentdataanalysis AT davidayalacabrera threedimensionalreconstructionofwaterleaksinwaterdistributionnetworksfromgroundpenetratingradarimagesbyexploringnewinfluencingfactorswithmultiagentandintelligentdataanalysis |