COMBINING UAV AND FAST DATA ANALYSIS TO IDENTIFY VEGETATION THREATS TO POWER LINES

Transcription

1 COMBINING UAV AND FAST DATA ANALYSIS TO IDENTIFY VEGETATION THREATS TO POWER LINES 1

2 UAV TO BUSINESS DECISIONS 100 People 100 Countries $25M raised 2

3 BVLOS SINCE 2012 BVLOS flights in 30+ countries MINI DRONE DT18 UAV ULTRA-LONGE RANGE DT26X UAV 100 km range 2 hour endurance 2 kg weight Up to 20 km or 3G option Hand or catapult launch The + : BVLOS certified 150 km range 2,5 hour endurance 15 kg weight Up tp 30 km or 3G & Satellite options Catapult launch The + : parachute emergency system Accurate & reliable sensors specially designed and integrated for each mission. DT-3Bands HD RGB DT-3Bands HD PPK DT-Eye IR video DT-3Bands X RGB DT-3Bands X PPK DT-Eye X EO/IR video LiDAR

4 DELAIR STACK Principle 1. Mission order 6. Publication 2. Data upload 5. Business analysis DELAIR STACK 3. Data storage and indexation 4. Photogrammetry 4

5 Power grid - Vegetation monitoring 1. Data collection / UAV flight over the line High resolution pictures 3. tree Final report Risk maps with coordinates to prepare the prunning intervention more effectively 2. the Data processing fully integrated process Customized algorithms to automatically measure distance between the conductor and the surrounding vegetation 5

6 Power grid - Vegetation monitoring Custom content 6

7 PILOT PROJECT WITH ENEDIS - DISTRIBUTION Philosophy: Aerial LIDAR data + photogrammetry for 300ml monitoring BVLOS Flights 2000ml of flights for 300ml of actual grid monitoring Needs of overlap for corridor mapping + focus on the quality of photogrammetry + distribution grid LIDAR and Photogrammetry process LIDAR acquisition made by helicopters + manual classification PPK accuracy is highly recommended to stick the photogrammetry point cloud to the LIDAR one Business expertise : 1 LIDAR point cloud classification 2 Power line modelization 3 Photogrammetry Point cloud cleaning 4 Distance calculation between the line and vegetation 5 Automatic generation of a anomaly map 7

8 PILOT PROJECT WITH ENEDIS - DISTRIBUTION What are the ways of improvement? Data acquisition Development of a software to optimize the mission planning Increase the BVLOS capacities (use case in the US) Use of a network of remote pilots on call Improve the accuracy of both LIDAR and photogrammetry acquisition Work on the homogeneity of the data from the utility, from the LIDAR and from the photos Data processing Towards the automatization of the full data processing phase GCP tracking to be outsourced through Delair-Stack More accurate and automated point cloud classification Quality check to be kept on our side 8

9 DELAIR STACK Philosophy Facts: Today : Fully automated platforms can only provide a limited number of trivial tasks (usually worthless to a professional user) Tomorrow: a valuable automated process needs to integrate a high degree of expertise Technical road map: Platform designed to orchestrate expert intervention in an economical manner > Compartmentalized access to the workflow Progressive automatization of the process (via deep learning and other methods) > "Deep-learn from experts". - > The learning & automatization phase is part of the platform design - > More than SaaS with algorithms marketplace (= B2C approach) - > B2B oriented, with deliverable quality ensured 9

10 DELAIR STACK Image processing workflow Mission planning & data acquisition Photogrammetry: 3D model & orthomosaic Business analysis Quality control Publication Expert Outsourced Operator Automatic Process Progressive automatization 10

11 A PROVEN TECHNOLOGY AND BUSINESS MODEL WHICH NEEDS TO BE SCALED UP The market (use case in France) 250,000 ml to be done every year in France Pricing For 300ml, the pricing using drones is more expensive than actual solutions using only helicopters and walkers Today, For a 3 years contract on 500km, our price using drones can be cheaper than the solutiong using only helicopters and walkers Tomorrow, for a 3 years contract on 400,000km, the price will allow to generate new informations for Utilities. Drones are the path to digital era for infrastructure monitoring The acquired data can give insights way beyond the vegetation monitoring 11

12 RAPID POST-DISASTER DIAGNOSIS

13 TOMORROW MACHINE LEARNING FOR ANOMALY DETECTION Tag the anomaly Watch video 13

14 3D TERRAIN MODEL DESIGN 14

15 HOT SPOTS DETECTION

16 SPAN, SAG AND TENSION CALCULATION Engineering with CAD software Span, SAG and tension calculation (PLS-Cadd)

17 QUESTIONS? Please visit : And feel free to contact me : benjamin.benharrosh@delair-tech.com Pasadena, CA (US) 17