Warning: Declaration of Megamenu_Walker_Nav_Menu::walk($elements, $max_depth) should be compatible with Walker::walk($elements, $max_depth, ...$args) in /home/anditi92/public_html/wp-content/themes/anditi2018/functions/extras.php on line 0
Transmission Line Monitoring Solution

Transmission Line Monitoring Solution

Transmission Line Monitoring Solution

Powerline Maintenance in the remote Pilbara region

Background

 

Traditional methods of monitoring power lines and their corridors include field and airborne surveys. Ground-based methods allow for a more detailed assessment but arevery labourintensive and slow. The aerial visual survey, (often by helicopter), whilst faster, offers more limited detection opportunity. Both have historically relied upon “human” assessment.

With the advances in remotesensing, many are now employing these new methods to collect data via mobile and aerial automated capture. This capture typically results in large files of LiDAR data that require significant expert processing to make it useable to support the survey program. Once transitioned to visual information, such spatial data provides significant detail and certainly enables accurate and well-informed survey results.

The problem

 

Our client was a power company responsible for monitoring and managing over 900kms of powerline infrastructure in Pilbara a remote region in Western Australia.

Their current practice was to have field workers drive along the powerline and conduct a visual inspection or take photos from a helicopter to understand theproximityof trees to the powerlines. Each method was labour and cost intensive and resulted in approximations only. Their field workers were also unduly exposed to WH&S risks during their work.

  1. Labour and cost intensive
  2. Inaccurate approximations
  3. Unnecessary WH&S Risk
  4. No baseline standards for future predicitons and comparison

The Anditi Fix

 

Our process:

      1. We studied the data collected to understand its unique anomalies and wrote specialisedcode to “clean it up” (i.e. points and coordinates that were inaccurate and gave false measurements). This facilitated the optimisationof its processing and potential accuracy of analytic results
      2. Applied custom algorithms to identify relevant features in clear detail such as vegetation, ground, and buildings
      3. Understanding the client’s specific reporting, maintenance and monitoring process, andinformation requirements, we developed specific standard reports relating to encroachment potential and actual risk
      4. Devised, developed, and delivered a 2D interactive lightweight web portal that provides ongoing rich visualisationof the infrastructure network.

For noting: Our clients often require a shapefile or File GeoDatabase that can be uploaded for use in the existing GIS application ie ArcGis.

Classified powerlines in point cloud data

The Outcome

Our client achieved an accurate survey at an 80% reduction in cost, vastly reducing the exposer of their field workers to WH&S risk. Further, their people can revisit the information and updates over time allowing them to entirely understand and support optimum maintenance programs and field efforts. Watch the video on Vimeo.

Interested?

Using less than optimal workarounds, guesswork or high risk/ high cost methods to monitor and maintain your assets? Making real sense of spatial big data to inform and optimise operations is what we do best.

Anditi – partnering with industry delivering deeper insights and better outcomes powered by the art and energy of advanced data science and spatial big data.

 

  • Better operational efficiency

    Faster turnarounds, 80% reduction in cost

  • Accurate desktop analysis

    Reduced WH&S risk

  • New standardised benchmarks

    Baseline understanding of assets for future comparison

  • Easily accesible information

    Customised web portal for visual inspection and analysis

Contact us for more information

We would love to talk to you about your specific needs! Please fill in your details and we will be in touch.

* Denotes mandatory field