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UAVOS Leverages Drones, Proprietary Software program, and Digital Twins to Enhance Service of Transmission Traces – sUAS Information


UAVOS has efficiently accomplished a transmission traces & towers drone survey mission for an power firm that befell within the Northern space at latitude 20°. The mission was geared toward serving to the power firm to completely automate the seize and processing of energy lines-related situation evaluation knowledge. Over 2300 km flights of BVLOS have been carried out to detect the unauthorized objects and vegetation in addition to the road and tower components defects. The mission was performed in a hard-to-reach space, the place the panorama typically adjustments and presents totally different obstacles at a essential low temperature of round – 36 Cº. The UAVOS’ drones and know-how have confirmed to function and detect faults in extraordinarily low temperatures.

To assist the power firm administration use the gathered knowledge to enhance its infrastructure, UAVOS has employed high-end applied sciences to automate knowledge evaluation of energy traces. Furthermore, it has enabled digitalization of the entire grid infrastructure on a big scale, which consists of the next modules:

  • Autonomous knowledge assortment and automatic drone post-flight knowledge evaluation;
  • Huge knowledge platform processing;
  • Digital Twin for Upkeep.

Thus, it’s anticipated that UAVOS’ know-how will assist its purchasers to maneuver in direction of extra proactive upkeep practices, which can save their expenditure on restore. A central component of the mission is to extend automation of knowledge processing, which is meant to extend evaluation of the information collected throughout inspection from 30% to 90%. Moreover, a digital twin can be utilized and merge into one coherent setting, the various knowledge streams, corresponding to:

  • Information from autonomous and in-depth drone inspection;
  • Different knowledge units (e.g. land board data, knowledge collected by floor inspections);
  • Environmental knowledge and region-specific circumstances (humidity, varied climate eventualities).

The merging of assorted sources permits UAVOS to carry out superior analytics and supply detailed upkeep predictions.

The flights have been carried out with the UVH EL25 electrical, a high-performance unmanned helicopter for past visible line-of-sight operation with 5 kg load capability, and the Borey fixed-wing drone with a flight distance as much as 200 km and a payload capability of fifty kg. The UAVs have been outfitted with two various kinds of sensors: LiDAR and a high-quality decision digicam to collect correct knowledge, which was then processed utilizing particular software program. The mission was accomplished in solely 17 days, consisting of 33 flight hours and working a median 2300 km flights of BVLOS.

Information from autonomous in-depth drone inspection was in a position to determine over 30 points associated to the unauthorized objects and vegetation in addition to the road and tower defects. The proprietary software program enabled UAVOS to carry out superior analytics. The purchasers have obtained high-definition photographs and Lidar knowledge in addition to knowledge visualization by a Geographic Info System (GIS) and have been supplied with detailed upkeep defects and predictions.


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