The growth of distributed generation and diversification of power sources bring operational system challenges and an aging infrastructure and workforce is driving the need for asset renewal prioritization and knowledge capture. Incorporating the use of drones in an intelligent, condition-based, asset management program will provide utilities with the information needed to operate more efficiently, effectively and safely, consequently allowing them to overcome some of these disruptive obstacles.
Utilizing data collected from drones, co-related with PI System time-series real-time data from the sensors will lead to reduced truck roll outs and ensuring the right assets and skill sets are deployed.
This session discusses ‘art of possibility’ on using drones data co-related with PI time series real time data from the sensors. Some of the use cases include reduction of outage times, increased customer satisfaction, reduced O&M costs, increased safety, etc.
Speaker
Nazlin Kanji
Nazlin Kanji is a Product Line Director at AeroVironment. She has more than 20 years of experience developing and deploying big data systems for the DoD and commercial industry, and is now leading AeroVironment’s commercial data programs focusing on agriculture, utilities, transportation and energy. She was the program manager on the first FAA-approved commercial unmanned aircraft operations over land and water in the North Slope of Alaska and had the pleasure of spending her summer in the Arctic supporting the operations. She has a BS in Computer Science from California State University, Northridge and earned an MBA at California Lutheran University.