Thursday, May 23, 2019
10:30 am - 12:00 pm
Industrial Facilities: 3D Technologies Applied
Track Name: SPAR 3D
Session Date: May 23 2019 10:30 am - 12:00 pm
Harris Geospatial Applies Advanced Data Management, Deep Learning to Help utilities Derive Actionable Intelligence from Remotely Sensed Data
In the struggle to gain a better perspective on their assets in the field, energy utilities have elected to use UAS and other remotely sensed data. As a result, they have seen their data volumes swing from not having enough to having too much. The major contributor to this data deluge has been the proliferation of Unmanned Aerial Systems (UAS) which can inventory transmission and distribution equipment at a fraction of the cost of conventional aircraft. HGS has provided solutions to the two related problems of managing the enormous volumes of data and automating the extraction of meaningful information from them. Leveraging years of success in the defense-intelligence community, Harris has now commercialized the data management system, known as Jagwire, as well as its own deep learning data exploitation technologies. Energy utilities have been among the first commercial users to embrace these products offering from Harris. For utilities, the goal is also enhanced situational awareness. They need to know where asserts are located, what their current conditions are, and how they are changing. Harris has been researching and developing solutions that leverage core data management, machine learning and analytics technologies developed and deployed by Harris over a period of more than two decades to deliver critical business answers to utilities. The utility-centric solutions developed integrate big data and image science to revolutionize the way electric transmission and distribution utilities inspect and maintain their assets with the main objective to improve safety, cost effectiveness and efficiency of utility operations.
Maximize the Use of Drones, Photogrammetry and Reality Modeling to Visualize the Current State and Condition of Industrial Facilities
Learn how Reality Modeling is being used as a single source of truth greatly reducing the need for on-site visits. Geo-located reality models make asset owners more informed about the current state and condition of their critical asset while allowing anybody in the world to visualize the facility in its current state. Learn how this data provides strategic perspective of an existing sites condition and serves as a single source of truth for both lookahead and retrospective progress analysis.