Mr. Jay Arnold, Magnolia River Mr. Richard Vincent, McKim & Creed

Transcription

1 Mr. Jay Arnold, Magnolia River Mr. Richard Vincent, McKim & Creed

2 Why Change? Electric Utility Safety and Reliability NERC FAC- 008 and FAC-003 As Built Infrastructure monitor vegetation annual requirement Oil and Gas PHMSA (US DOT) PSC

3 Technology Driven Change

4 Technology Driven Customer Expectations Technology leadership Faster delivery Lower cost /added value Improved safety reduced risk Answers to solve a problem Not Just Data Although some still are in the analogue world

5 The Crowd Change Small ubiquitous sensors active or passive costing less than $5,000 Both commercial and personal use Using apps or cloud-based processing for initial data (3D point/pixel creation)

6 The Crowd Change Based on Machine Vision robotics Cloud-based SAS pricing resulting in a colorized point cloud New 3D on the fly computations measurements and feedback such as (Kinect) and Intel RealSense,etc

7 The Crowd Revolution DotProduct3D Intel RealSense MatterPort Google-Project Tango NzTasuYEw

8 The Coming Crowd Revolution Professional 3D scanning expensive hardware and software Complicated workflows and special knowledge experience required to create information Crowd-sourced - currently used as complimentary technology to terrestrial laser scanning

9 The Crowd Revolution not Evolution Using tablets and phones 3D will explode based on consumer level tools Clients will be able to collect and cloud-process their own data into relative 3D space Less accurate in absolute terms more flexible and low cost

10 The Crowd Revolution Google June st consumer device based on Project Tango would be LG, with an expected launch date in This device is the built-in 3D scanning technology which makes it possible to create accurate 3D maps on the fly.

11 The Crowd Revolution (DOTPRODUCT Example) Scan duration is 3 minutes 20 minutes processing Permanent 3D record -3D points

12 Drones aka suas Expectations in the Market Cheaper Faster More accurate?? Do it myself

13 Drones aka suas Commercial Operations NEWSFLASH 10 U.S. media companies, including the New York Times, the Associated Press and NBCUniversal, will test the use of drones for news gathering, seeking to persuade the government to broaden the commercial use of the small unmanned aircraft. Tierra Antigua Realty Trimble Navigation Limited Clayco, Inc. Astraeus Aerial HeliVideo Productions, LLC RC Pro Productions Consulting Snaproll Media, LLC Advanced Aviation Solutions VDOS Global, LLC Woolpert, Inc. Aerial MOB, LLC Pictorvision Inc. Vortex Aerial

14 Hot Button Issue Negative Reaction Professional Aerial Photographers Association - Safety concerns - Lack of no rules - Impact to jobs Airline Pilots Association - Safety concerns And what about privacy?

15 Hot Button Issue - Positive Reaction AUVSI Small UAV Coalition - 3DR - Aerialtronics - Airware - Amazon Prime - DJI Innovations - Google[x]'s Project Wing - GoPro and Parrot as founding members DYI Drones > 50K members

16 Drones aka suas Commercial Operations Much like GPS revolutionized survey, suas will do the same for mapping suas mapping is the natural progression to aerial mapping and complimentary to survey

17 Drones aka suas Major Investments PrecisionHawk - Intel Capital is joining a $10 million funding round to help build out future iterations of the company s unmanned aerial vehicles (UAVs) and cloud backend of making UAVs as automated as possible for users. Airware raised $25 million - work is on hardware, operating systems, and cloud services for unmanned aircraft

18 Satellites and Technology Google SkyBox Planet Labs Urthecast Digital Globe 90 sec HD video Sub meter imagery NanoSats - Doves 3-5m Planned 24 Sat daily data Constellation HD video 1m and 6M Approx. 100 Sat Data resolution Sub + analytics Constellation meter imagery Real time tasking Data analytics Data + analytics Crowdsourced - TOMNOD

19 Big Data From Small Platforms to Big Data 13.3 yrs of HD video Size of FaceBook photos > 10 billion Annual YouTube video upload All words ever spoken by humans 1 million petabytes 1 petabyte (1000 terabytes) 1.5 petabytes 100 petabytes 1 exabyte (1000 PB) 1 zettabyte (1000 EB)

20 Every two days now we create as much information as we did from the dawn of civilization up until Eric Schmidt, Executive Chair, Google Estimated 35 zettabytes annually Five exabytes every 2 days Information base 2x every 4 years Information base 2x every 7 years Information base 2x every 30 years

21 Big Data: From Small Platforms to Big Data Drones - 30,000+ flying in US by 2020 Cell phone and tablets 196 million smartphone users by million 3D tablets by 2018 Estimated data upload by smartphone and tablets 95% of the data location aware 20+ petabytes annually Globally, IP video traffic will reach exabytes per month in 2018, up from 33.6 exabytes per month in 2013 * Cisco VNI

22 Big Data: From Small Platforms to Big Data ACM Association for Computing Machinery (SIGSPATIAL) Analytics for BIG Geospatial Data

23 Big Data: From Small Platforms to Big Data Federal Geographic Data Committee (FGDC) Over 90% of government information has a geospatial component Over 95 % of business information has a geospatial component

24 The 4 FOUR V s of Big Geospatial Data Volume Variety ExaBytes to store, process and analyze Multiple geo sensors and non-geo sensors Velocity Real time information and change Veracity Conforming with truth or fact

25 Technology Driven Change

26 Data Analytics Activity Geo Location Event The process of developing actionable information based on the application of statistical models and analysis against existing and/or simulated future data Time

27 Why does this matter? Safety is KEY and taking the human out of the loop reduces risk to life and limb Utilities look to reduce costs and risk These digital technologies can assist in internal compliance monitoring programs All these technologies are easy to use Percieved Low cost

28 Why Does This Matter? Data without intelligence and information without analytics is like Groundhog Day Repeat the Life Cycle The Mapping Mantra Deliver data, points, pixels, lines Repeat on an annual basis (hopefully) Hoping for a Change

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