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[{"model": "core.projectfund", "pk": 25328, "fields": {"project": 2515, "organisation": 4, "amount": 25000, "start_date": "2014-12-01", "end_date": "2015-03-30", "raw_data": 39901}}]
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[{"model": "core.projectfund", "pk": 17431, "fields": {"project": 2515, "organisation": 4, "amount": 25000, "start_date": "2014-12-01", "end_date": "2015-03-30", "raw_data": 11049}}]
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| April 11, 2022, 3:45 a.m. |
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[{"model": "core.projectorganisation", "pk": 65528, "fields": {"project": 2515, "organisation": 5123, "role": "LEAD_ORG"}}]
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| April 11, 2022, 1:47 a.m. |
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{"title": ["", "Mobile GIS Services Limited - A Unmanned Aircraft System (UAS) for Cost effective Remote Sensing of Powerlines for Vegetation Management"], "description": ["", "\nOverhead powerline vegetation management (VM) is an essential safety operation for\nNetwork Operators, and is amongst the largest maintenance expense for electric companies\n(OfGem). Fires, electrical hazards, and asset damage occur without VM, presenting serious\nrisks to people, property and the economy. For reference, VM-related outages cost the US\n$120 billion/year (Electric Power Research Institute).\nIn the past year, UK outages doubled to 505. Economic cost of one outage can be £0.1bn\n(OfGem). Poor VM is responsible for 17% of outages (Eaton, 2014). Penalties levied against\noperators are high. In Feb 2014, when 140,000 homes/businesses had no power for 5days,\noperators paid £34m just in compensation! Ofgem stipulate higher penalties from 2015.\nTo plan VM, utility companies need accurate data re what's growing near which asset. There\nare 4 methods: manual, ground laser, airborne LIDAR (Light Detection And Ranging),and\nLIDAR UAS (Unmanned Aircraft System). All differ in cost, speed (of data collection /post\nprocessing), and usability. There is a growing trend towards UAS. However, because of low\nflight (1hr), payload capability, and reliance on time-consuming processing by an expert, UAS\ncost/benefit is now also questioned.\nToday, only high volt power lines (400/132KV) are mapped, at the rate of 1/5th network\nevery 5yrs, raising questions as to longterm value of data mapped. Millions of low volt\nnetwork miles (33/11KV) are not mapped at all, leaving them without meaningful VM.\nThis has led to a wealth of global VM opportunities in an industry estimated at $15bn USD\n(Gartner), and employing c150,000 people. Over 250 UK companies operate or supply VM\nsector.\nThis project seeks to validate market feasibility for a cost effective long-flight UAS that can\noperate autonomously for 8hrs/day, and feed realtime VM data to a bespoke \u2018game engine\u2019\nthat can create ultra-lightweight 3D synthetic environment scans which can be read and\nunderstood by a novice VM planner.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Closed"]}
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| April 11, 2022, 1:47 a.m. |
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{"external_links": [9065]}
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| April 11, 2022, 1:47 a.m. |
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[{"model": "core.project", "pk": 2515, "fields": {"owner": null, "is_locked": false, "coped_id": "c2b78656-e88b-4981-a5ce-f0392b90421c", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 11034, "created": "2022-04-11T01:34:05.964Z", "modified": "2022-04-11T01:34:05.964Z", "external_links": []}}]
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