GIS4SmartGrid 2020 Blog

GIS4SmartGrid 2020 Blog

Keep up to date with the latest developments on the GIS4SmartGrid 2020 virtual conference, run by Smart Grid Forums.

Case Study: Netze BW

Effective utilisation of GIS data is absolutely critical to the effective maintenance of aging utility assets. However, ensuring data quality to support accurate decision making has never been more challenging. By applying AI to the analysis of GIS data, utilities are able to offset data gaps and inconsistencies, and make more effective decisions leading to more decisive maintenance action.

At GIS4SmartGrid 2020Mario Gnädig, Engineer for Intelligent Electrical Networks at Netze BW, will share the results of a project he has been leading on, leveraging AI to power GIS data in support of automated power line inspections. We caught up with Mario this week, and he gave us an insight into what his presentation will address.

Mario explained: “At Netze BW, we have been looking to move on from traditional methods of powerline inspection and maintenance for some time. Methods involving human inspection are not only dangerous and time consuming, but also subject to human error. AI analysis of GIS data is providing us with an attractive alternative through a variety of new solutions to increase the efficiency of detection of defects and degradation across not only powerlines, but a vast asset portfolio.
 
On our journey at Netze BW, we have been looking at testing two cutting edge technologies to enable more effective asset maintenance. These are drone technology and satellite image analysis. Technologies such as these will provide us with the ability to utilise GIS data and geospatial imagery to carry out virtual inspections of our asset portfolio using AI-enabled defect detection, leading to more efficient field crew resource management, and more accurate data collection. We have faced a range of challenges so far, including collecting enough data of faulty power lines to enable the drones to detect them, and issues around implementing the ability in the drones to fly off-site, which has required consistently innovative thinking to overcome.
 
Over the course of this year, we have been testing this state-of-the-art technology with the goal of implementing it into the workforce in 2021, and I look forward to providing insights into the results we have achieved so far, and showcasing next year’s solution at GIS4SmartGrid 2020.”

Mario’s will be one of 14+ utility case-studies being presented at GIS4SmartGrid 2020. Alongside the case-study agenda, there will be a series of end-user driven roundtable discussions, a technology innovation panel, a deep-diving tutorial on AR and VR Enablement for the Field Force, and a solution zone displaying state-of-the-art GIS products and services.