首页|Patent Issued for Systems and methods for optimizing asset maintenance protocols by predicting vegetation-driven outages (USPTO 11908186)
Patent Issued for Systems and methods for optimizing asset maintenance protocols by predicting vegetation-driven outages (USPTO 11908186)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Be llemans, Nicolas Charles Michel (Brussels, BE), Carter, Kelsey Elwood (New York, NY, US), Chu, Derek (Maynard, MA, US), Fernandez, Alfonso Encinas (New York, NY, US), Gascon, Charlie (New York, NY, US), Zhang, Liangliang (Houston, TX, US), filed on March 15, 2023, was published online on February 20, 2024. The assignee for this patent, patent number 11908186, is Mckinsey & Company Inc. (New York, New York, United States). Reporters obtained the following quote from the background information supplied by the inventors: "Utility poles carrying power lines and pole top devices (e.g., "assets") are ubiquitous in almost every modern city and the surrounding areas . In many such areas, these utility poles stand proximate to vegetation (e.g., t rees) that is similar in height to the poles themselves, thereby allowing the ve getation to grow over and/or around the power lines and pole top devices carried on the utility poles. During storms with driving wind and/or heavy rain, or sim ply as result of other natural consequences (e.g., stacking stressors, termites, etc.), the vegetation near the utility poles can contact and damage the utility poles themselves, the power lines, and/or the pole top devices. Consequently, p roximate vegetation is a primary concern of utility companies, as it creates a s ubstantial risk of vegetation-driven outages that can leave thousands without po wer for extended periods of time.
BusinessCyborgsEmerging TechnologiesMachine LearningMckinsey & Company Inc
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