Innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenance
This research explores underwater robot applications in marine cable inspection and maintenance with solutions to accuracy, reliability, and efficiency challenges. Current methods using human divers and remotely operated vehicles (ROVs) are expensive, time-consuming, and involve safety hazards. The...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co. Ltd.
2025-01-01
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| Series: | Cognitive Robotics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667241325000151 |
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| author | Xiang Liu Shuntian Xie |
| author_facet | Xiang Liu Shuntian Xie |
| author_sort | Xiang Liu |
| collection | DOAJ |
| description | This research explores underwater robot applications in marine cable inspection and maintenance with solutions to accuracy, reliability, and efficiency challenges. Current methods using human divers and remotely operated vehicles (ROVs) are expensive, time-consuming, and involve safety hazards. The suggested AI-based robotic system incorporates sensor technology, predictive maintenance, and statistical validation to maximize marine cable inspections. A quantitative research method was employed, surveying data from 400 Marine Engineers and Underwater Robotics Specialists. Statistical analysis, such as reliability analysis, regression model, and hypothesis testing, determined the influence of technology adoption, environmental aspects, and predictive maintenance on inspection accuracy and cost savings. Model fit was confirmed through CFI =0.94, RMSEA =0.047, and SRMR=0.052. Results show that Maintenance Strategy & Cost Reduction (β=0.55,p<0.01) is most influential. The research assures that AI-enhanced underwater robots provide a cost-efficient, guaranteed substitute to conventional approaches, promoting efficiency, safety, and long-term sustainability in marine cable operations. |
| format | Article |
| id | doaj-art-3603ac2eb5c54a998da2157a96b14e3f |
| institution | DOAJ |
| issn | 2667-2413 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Cognitive Robotics |
| spelling | doaj-art-3603ac2eb5c54a998da2157a96b14e3f2025-08-20T03:17:39ZengKeAi Communications Co. Ltd.Cognitive Robotics2667-24132025-01-01522623910.1016/j.cogr.2025.06.001Innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenanceXiang Liu0Shuntian Xie1Yangjiang power supply bureau of Guangdong Power Grid Corporation, Yangjiang529500, Guangdong, ChinaCorresponding author.; Yangjiang power supply bureau of Guangdong Power Grid Corporation, Yangjiang529500, Guangdong, ChinaThis research explores underwater robot applications in marine cable inspection and maintenance with solutions to accuracy, reliability, and efficiency challenges. Current methods using human divers and remotely operated vehicles (ROVs) are expensive, time-consuming, and involve safety hazards. The suggested AI-based robotic system incorporates sensor technology, predictive maintenance, and statistical validation to maximize marine cable inspections. A quantitative research method was employed, surveying data from 400 Marine Engineers and Underwater Robotics Specialists. Statistical analysis, such as reliability analysis, regression model, and hypothesis testing, determined the influence of technology adoption, environmental aspects, and predictive maintenance on inspection accuracy and cost savings. Model fit was confirmed through CFI =0.94, RMSEA =0.047, and SRMR=0.052. Results show that Maintenance Strategy & Cost Reduction (β=0.55,p<0.01) is most influential. The research assures that AI-enhanced underwater robots provide a cost-efficient, guaranteed substitute to conventional approaches, promoting efficiency, safety, and long-term sustainability in marine cable operations.http://www.sciencedirect.com/science/article/pii/S2667241325000151Underwater roboticsMarine cable inspectionPredictive maintenanceInspection accuracyReliability analysisOperational efficiency |
| spellingShingle | Xiang Liu Shuntian Xie Innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenance Cognitive Robotics Underwater robotics Marine cable inspection Predictive maintenance Inspection accuracy Reliability analysis Operational efficiency |
| title | Innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenance |
| title_full | Innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenance |
| title_fullStr | Innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenance |
| title_full_unstemmed | Innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenance |
| title_short | Innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenance |
| title_sort | innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenance |
| topic | Underwater robotics Marine cable inspection Predictive maintenance Inspection accuracy Reliability analysis Operational efficiency |
| url | http://www.sciencedirect.com/science/article/pii/S2667241325000151 |
| work_keys_str_mv | AT xiangliu innovativestrategyandpracticeofusingunderwaterrobotformarinecableinspectionandoperationandmaintenance AT shuntianxie innovativestrategyandpracticeofusingunderwaterrobotformarinecableinspectionandoperationandmaintenance |