Projects: Projects for Investigator |
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Reference Number | NIA_WPD_007 | |
Title | Airborne Inspection Phase 1 | |
Status | Completed | |
Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
Research Types | Applied Research and Development 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Physics) 25%; PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 25%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 25%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
Principal Investigator |
Project Contact No email address given Western Power Distribution |
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Award Type | Network Innovation Allowance | |
Funding Source | Ofgem | |
Start Date | 01 November 2015 | |
End Date | 01 November 2017 | |
Duration | 24 months | |
Total Grant Value | £530,000 | |
Industrial Sectors | Power | |
Region | South West | |
Programme | Network Innovation Allowance | |
Investigators | Principal Investigator | Project Contact , Western Power Distribution (100.000%) |
Web Site | http://www.smarternetworks.org/project/NIA_WPD_007 |
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Objectives | 1) Identify the optimum helicopter mounted sensing system which will enable long range data acquisition in the most operator friendly manner. The system should be able to present data in a format which can be integrated with other technologies and also used within analysis software2) Produce a data analysis package capable of autonomously gathering data in order to identify faults and deterioration. The package should integrate with existing asset records and GIS data to produce reports and record inspection against existing records. 3) Produce a system capable of the real-time reporting of condition back to interested parties on the ground 1) Production of a firm recommendation for the helicopter mounted sensor setup2) Successful integration of existing asset information with camera data3) Development of ‘in air’ data transfer4) The accurate identification of a number of asset conditions using data analysis software | |
Abstract | Currently helicopter based overhead electricity line inspections rely on the observer visually (Either directly or through cameras) assessing the line and documenting their findings with any significant issues relayed back to the local maintenance team for rectification on return to base. Whilst historically tried and tested the availability of much improved sensors together with image recognition and wider system integration (Asset records, GIS, GPS etc. ) means that there is now scope for a much more efficient inspection style over a greater length of network resulting in cost savings and improved network reliability. The project shall consist of six distinct aspects; 1) Identify key user requirements for a helicopter mounted sensing system which will be used to inform a tender document in order to specify a camera system. Further work under Phase 2 of the project shall procure and integrate a LIDAR system. 2) Integrate existing asset management information in to the sensing system3) Develop ‘in air’ reporting capabilities to allow timely data transfer to interested parties 4) Develop a semi-automated condition report generating function5) Develop automatic tracking capabilities for overhead lines6) Develop image recognition capabilities in order to automatically identify ESQCR non-compliance together with other asset condition issuesNote : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
Publications | (none) |
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Final Report | (none) |
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Added to Database | 09/04/18 |