https://www.linkedin.com/posts/pointerra_im-registered-and-ready-...

https://www.linkedin.com/posts/pointerra_im-registered-and-ready-to-go-to-xponential-activity-7184061018736664578-I0Rt/


https://www.linkedin.com/posts/jamie-wilder-young-cp-cms-l-gisp-652179142_from-remote-sensed-data-and-the-useable-by-products-activity-7184401688806535168-KxWH/

Developing Quick Pole Loading Using Machine Learning from Remote Sensed Data and the Useable By-Products
From Remote Sensed Data and the Useable By-Products

By Jamie Wilder Young, Pointerra, and Zac Young, Vulcan Line Tools

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[One of the first steps in a large-scale storm hardening initiative is determining the health of the current distribution grid through pole-loading analysis (PLA).]

[A traditional PLA can take a designer around 20 to 40 minutes on average to perform per pole, not including the time taken to collect the field data. Accurately modeling hundreds of thousands of poles, at this rate, is time consuming and costly.]

[Pointerra US and Vulcan Line Tools developed a process to significantly increase the efficiency of pole loading and hardening of a utility, and we came up with "Quick Loading." This process increased the efficiency of this process significantly.]

[One of our clients in the southern United States has realized millions of dollars in savings and schedule improvements by years.]

[Using the Quick Loading method, the PLA time was cut down to 3 to 5 minutes per pole, while maintaining 99% accuracy.]

[The Quick Loading process provides a significant cost and time benefit to traditional pole-loading processes, and the data gathered for this process can be used for multiple applications within the utility.]