Skip to main content

Utility Corridor Management using Machine Learning

At Data Tapestry, our team's expertise spans a variety of specialties. While we've been able to apply NLP techniques, forecasting, and predictive analytics to many problems, most recently our team had to work with image data and the complexities that it presents. We combined resources with unmanned imaging experts at Skytec, LLC to create a solution for overgrowth and vegetation management in utility corridors. 

Damages in these areas due to overgrowth can occur without warning. Tower damage and power outages can cost millions of dollars in repairs and regulatory fines. It is even more important to detect these encroachments since an electricity arc or flashover can occur within less than 15 feet of power lines, thereby damaging equipment or causing fire to nearby vegetation. Unfortunately, manual efforts to monitor overgrowth can be extremely manpower intensive, expensive, and inefficient.

Our Solution

Imaging experts at Skytec provide aerial photos of utility corridors via unmanned and manned aircraft systems. Additional enhancement layers are added to the image to improve the visibility of the landscape and other objects. Next, our team will pre-process the images so towers, trees, roads, and buildings can be easily distinguished. Once the images have been processed, we train a multi-label classifier on labeled input images over several iterations. After that, we apply functions to calculate the difference in vegetation indexes over time. Then we execute an algorithm for calculating the distance between towers and other objects over time to determine if action needs to be taken. The result is the identification of vegetation and other objects within the corridor that could be potentially hazardous. 

If you are interested in learning more or seeing how this solution can be applied in your business, email us at business@datatapestry.ai or visit our website. 


Comments

  1. ayaOctober 14, 2020 at 5:47 AM


    شركة تسليك مجاري بالقطيف

    شركة تسليك مجاري بالقصيم

    شركة تنظيف بتبوك

    شركة نقل عفش بتبوك

    شركة تنظيف بالاحساء

    شركة تسليك مجاري بالاحساء

    شركة مكافحة حشرات بالاحساء

    ReplyDelete
  2. VinayFebruary 15, 2022 at 2:16 AM

    Thank you for sharing useful information with us. please keep sharing like this. And if you are searching a unique and Top University in India, Colleges discovery platform, which connects students or working professionals with Universities/colleges, at the same time offering information about colleges, courses, entrance exam details, admission notifications, scholarships, and all related topics. Please visit below links:


    Mahakaushal University in Jabalpur

    YBN University in Ranchi

    Manipal University Jaipur

    Swami Vivekanand University in Sagar

    ReplyDelete

Post a Comment

Popular posts from this blog

From Spreadsheets to Tableau: Creating Dynamic Data Visualizations

Data visualization can be a tough undertaking for many organizations. Choosing which metrics and how to visualize them in an effective manner can be challenging when you are limited to just tools like excel. Additionally, how do you keep them up to date with the everchanging demands of your business? Alexa Tipton explains how she partnered with a client to achieve just that.    Can you tell us about your background and current role at Data Tapestry? Currently, I’m a data scientist at Data Tapestry. Before that, I was a research assistant at UT Knoxville for the center of ultra-wide area resilient electric networks or CURENT. While there, I used a number of techniques including text mining, machine learning, and NLP to analyze tweets from Twitter. The goal was to understand the public’s sentiment towards their energy providers around natural disasters, but more importantly improve electric grid structures overall as part of the national science foundation project.  Tell me about how you
1 comment
Read more

Reducing Workforce Turnover using Anomaly Detection and NLP

Maintaining an engaged workforce is essential to any organization looking to not only minimize the costs associated with hiring new personnel but also maximize productivity through engaged employees. Our senior data scientist, Jeremiah Lowhorn, partnered with one of our clients to analyze the risk factors that lead to employee turnover and how to mitigate them. We sat down with him to learn about how he was uniquely suited to solve such a complex problem. Can you tell us about your background and current role at Data Tapestry? My title is senior data scientist, and I’m currently working on my second master of science, this time in information management. Before Data Tapestry, I worked as a senior software engineer at Cigna focusing mainly on big data and data science projects. Prior to that role, I was working at US cellular as a data scientist. While there, I focused mainly on time series analysis and predictive modeling. Tell me about the problem you were asked to solve and what were
Post a Comment
Read more

Transforming and Accessing Data through Custom Built Pipelines

One of the biggest hurdles in data analysis is just getting access to data in the first place. At Data Tapestry, we offer end-to-end analytics services beginning with data acquisition, performing analytics, and providing end user products. Keith Shook walks us through how to maintain data security and integrity when dealing with a variety of situations. Tell us a little about your background and your role at Data Tapestry. Currently, I’m a senior data engineer, but I actually started off as an intern ingesting data into Postgres and SQL databases. I then shifted into visualization using D3, a javascript library, but we found that Tableau was much more efficient. Since then, I’ve gained a variety of experience using scala, Hive, AWS, and building clusters.   Can you walk us through a project you’ve worked on? Data engineering is pretty straightforward as far as the process goes. You get the data, ingest it into the database, and then hand it off to the data scientist. You have to be fle
1 comment
Read more