The Importance of Analysis-Ready Data to Powerline Fire Safety Planning using GPU-Accelerated Analytics
Conventional vegetation management by power utilities has been based on 3-year revisit scheduling and largely ground-based monitoring. These efforts have not been minor-utilities spend rather many millions of dollars per year. But recent events in California have made it clear that they are completely insufficient. At OmniSci, we have developed an alternative solution based on continuous monitoring, data, and fire science. Our system integrates near real-time satellite, LIDAR, and weather and micro-demographics data in order to assess risk dynamically. Thanks to the power of cloud ETL and GPU-accelerated geoprocessing, we are able to put analysis-ready data interactively in front of key utility managers. During this session, we will discuss how GPU-accelerated analytics can help visualize vegetation risk and help utility companies take action on wildfire prevention. With the increase. From vegetation management to balancing the electrical grid, to smart meter analysis, fleet management, and beyond, GPU-accelerated analytics is a breakthrough technology that allows utility and vegetation management companies to visualize their massive IoT and telematics datasets. This unprecedented level of data visualization improves vegetation management plans-including invasive vegetation management-and wildfire prevention methods to help utility companies reduce costs, catastrophes, and to keep the lights on. We will show this capability through a demonstration of CA fire history & risk to infrastructure.
Session ID: LI1418 Presentation Type: Live Session (Replay Available)
Date / Time: [Day 5] Fri. Sep. 18, 2020 @ 14:00 ET (US)
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