• Inspection as a Service program to deliver full virtual inspection of AllgäuNetz’s distribution network.
  • Virtual inspection supported by Artificial Intelligence.

AllgäuNetz the Distribution System Operator in southern Allgäu, Germany is partnering with eSmart Systems to transition their infrastructure inspection from manual to virtual inspection supported by Artificial Intelligence. This move is to emphasize AllgäuNetz’s strategy of integrating more renewables and expanding their intelligent networks and digitalizing their assets and operations to support the energy transition and optimise a high level of security of supply to their customers.

We were very impressed with eSmart Systems approach and methodology to support our inspection needs. Through an initial pilot project, the high-quality accurate inspection results delivered within Grid Vision® provided valuable insights into our critical infrastructure. We are now thrilled to be rolling this out across our whole infrastructure.

Robert Köberle
Head of Network Planning, AllgäuNetz GmbH & Co. KG

As part of this partnership eSmart Systems will provide the full end-to-end inspection solution from image capture with automated flight patterns and drones to the virtual inspection, which will provide safer, more accurate and efficient visual inspections and will optimize the inspection costs. The program will also build an image-based digital asset alongside the inspection which will support AllgäuNetz to focus on assets based on condition for maintenance and rebuilds.

We are thrilled to be partnering with AllgäuNetz and are looking forward to supporting their digitalization strategy with our inspection program with the use of our Grid Vision® solution. This partnership will provide safer, more accurate and efficient visual inspections and will increase the efficiency and safety of their critical infrastructure.

Henrik Bache
CEO, eSmart Systems

About AllgäuNetz GmbH & Co. KG

AllgäuNetz GmbH & Co. KG is the Distribution System Operator in southern Allgäu, Germany, supplying safe and secure electricity to 144,000 customers.

A safe and reliable power supply is an important basis for our society. AllgäuNetz GmbH & Co. KG, as a company belonging to Allgäuer Kraftwerke GmbH, Allgäuer Überlandwerk GmbH, Energiegenossenschaft eG Mittelberg, Energiebedarf Oberstdorf GmbH and Energiebedarf Oy-Kressen eG, consistently faces up to this responsibility.

With our employees, we are responsible for large parts of the power grid in southern Allgäu. The power grid in operation includes approximately 5,500 km of lines in an area of ​​approximately 1,700 km².

Through the interaction of renewable energies, intelligent network expansion and operation as well as reliable support across the area, we ensure a high level of security of supply.

Together with our private customers, commercial businesses and the communities in southern Allgäu, we work daily on the changing energy landscape and implement the changes together in an innovative and goal-oriented manner.

About eSmart Systems

eSmart Systems is a leading provider of AI-powered solutions for the inspection and maintenance of critical infrastructure. With our software solution, Grid Vision® we revolutionize how utility companies operate and maintain their transmission and distribution networks. We support utilities globally to reduce inspection costs, make inspections safer, improve the quality of asset data and prolong asset life.  eSmart Systems has more than 20 years of international experience in establishing and operating knowledge-based, leading IT and energy-related companies targeting global markets.

  • 5-year program to digitalize and automate current inspection process to a complete Artificial Intelligence (AI) image-based virtual inspection.
  • The inspection program will focus on distribution grid with a focus on wood, steel and concrete structures.
  • BKW will utilize AI to improve the speed and quality of the virtual inspection process.

The program will utilize eSmart Systems Grid Vision® solution, powered by AI to support the high voltage distribution grid with inspection and maintenance. This partnership will provide safer, more accurate and efficient visual inspections and will optimize the inspection costs.

Grid Vision® will be delivered as a Software as Service solution for BKW Energie. The solution delivers automation from day one through the 40+ AI models that are already trained on over 15 million global images. Through a Collaborative-AI approach, BKW will automate their virtual inspections to improve the quality and speed of inspections. The partnership will enable BKW Energie to transition their inspection processes to condition-based asset maintenance over time with the use of Grid Vision® Insight.

We were very impressed with eSmart Systems approach and methodology to support our inspection needs. Through an initial pilot project, the high-quality accurate inspection results delivered within Grid Vision® provided valuable insights into our critical infrastructure. We are now thrilled to be rolling this out across our whole infrastructure.

Robert Köberle
Head of Network Planning, AllgäuNetz GmbH & Co. KG

By lowering their carbon footprint through reduced field visits, and focusing on assets based on condition for maintenance and rebuilds, BKW Energie is building for a sustainable future and the partnership with eSmart Systems will support these initiatives with integrating more low carbon technologies onto the grid.

We are thrilled to be partnering with AllgäuNetz and are looking forward to supporting their digitalization strategy with our inspection program with the use of our Grid Vision® solution. This partnership will provide safer, more accurate and efficient visual inspections and will increase the efficiency and safety of their critical infrastructure.

Henrik Bache
CEO, eSmart Systems

About BKW

The electricity grid is the backbone of modern society. As the operator of Switzerland’s largest distribution system, BKW ensures that electricity flows reliably from producers to consumers. We plan and build grid infrastructure and make the most of the opportunities that digitalization has to offer to create sustainable living spaces.

We distribute electricity to one million people in our supply area via 22,000 km of lines and 188,000 grid connections. By running our grid safely and efficiently, we can offer our new customers access to it based on their needs.

About eSmart Systems

eSmart Systems is a leading provider of AI-powered solutions for the inspection and maintenance of critical infrastructure. With our software solution, Grid Vision® we revolutionize how utility companies operate and maintain their transmission and distribution networks. We support utilities globally to reduce inspection costs, make inspections safer, improve the quality of asset data and prolong asset life.  eSmart Systems has more than 20 years of international experience in establishing and operating knowledge-based, leading IT and energy-related companies targeting global markets.

In this whitepaper, learn what to consider and how you can realize the benefits of the new generation of infrastructure inspections and increase the resiliency of your power grid.

Screenshot 2023-05-08 141702

How accurate would you say your substation asset data is? Are you confident that the asset data is of high quality?

Even if the quality is good today, data quality needs to be maintained. Hear lessons learned from two utilities; how they started their digitalization journey for different reasons, and how they have uplifted their substation asset data, resulting in lowered operational costs due to the improved accuracy, quality, and accessibility of data.

Watch this webinar to learn how to improve poor quality and incomplete data for your substations and how you can achieve lower costs and a much faster response to faulty assets by relying on accurate, up-to-date data.

Screenshot 2023-05-08 141702

How accurate would you say your substation asset data is? Are you confident that the asset data is of high quality?

Even if the quality is good today, data quality needs to be maintained. Hear lessons learned from two utilities; how they started their digitalization journey for different reasons, and how they have uplifted their substation asset data, resulting in lowered operational costs due to the improved accuracy, quality, and accessibility of data.

Watch this webinar to learn how to improve poor quality and incomplete data for your substations and how you can achieve lower costs and a much faster response to faulty assets by relying on accurate, up-to-date data.

Screenshot 2023-05-08 141702

How accurate would you say your substation asset data is? Are you confident that the asset data is of high quality?

Even if the quality is good today, data quality needs to be maintained. Hear lessons learned from two utilities; how they started their digitalization journey for different reasons, and how they have uplifted their substation asset data, resulting in lowered operational costs due to the improved accuracy, quality, and accessibility of data.

Watch this webinar to learn how to improve poor quality and incomplete data for your substations and how you can achieve lower costs and a much faster response to faulty assets by relying on accurate, up-to-date data.

Screenshot 2023-05-08 141702

How accurate would you say your substation asset data is? Are you confident that the asset data is of high quality?

Even if the quality is good today, data quality needs to be maintained. Hear lessons learned from two utilities; how they started their digitalization journey for different reasons, and how they have uplifted their substation asset data, resulting in lowered operational costs due to the improved accuracy, quality, and accessibility of data.

Watch this webinar to learn how to improve poor quality and incomplete data for your substations and how you can achieve lower costs and a much faster response to faulty assets by relying on accurate, up-to-date data.

Screenshot 2023-05-08 141702

How accurate would you say your substation asset data is? Are you confident that the asset data is of high quality?

Even if the quality is good today, data quality needs to be maintained. Hear lessons learned from two utilities; how they started their digitalization journey for different reasons, and how they have uplifted their substation asset data, resulting in lowered operational costs due to the improved accuracy, quality, and accessibility of data.

Watch this webinar to learn how to improve poor quality and incomplete data for your substations and how you can achieve lower costs and a much faster response to faulty assets by relying on accurate, up-to-date data.

The project, completed in 2021, focused on hardware and defects identification. The project looked at cotter pins, with an emphasis on loose and upside-down cotter pins. The project was able to automatically detect over 11,000 total and successfully identify 781 upside-down pins within a few seconds. The project enabled the public utility’s maintenance engineers to efficiently locate the 2-inch upside-down cotter pins on up to 100 feet high towers and assess their conditions. The outcome of the project is an increase in powerline safety, field worker safety, and, as result, community safety. The case-study described below demonstrates the potential of virtual powerline inspections in enhancing community safety.

Introduction

Multiple large-scale wildfires are reported in the US every year. Such events cost tens of billions of dollars in direct costs such as property loss and damage and indirect costs such as long-term health exposures, market loss, and non-collectable taxes, etc[1]. The consequences of such events can be disastrous from a human, material, and environmental perspective.

Defects in the power grid can cause wildfires; active causes can include a tree or branch falling over a powerline and sparking a wildfire. Triggered material or old powerline components can generate arcs or sparks, and under dry weather conditions and with dry surrounding vegetation, can lead to disastrous and hard to control wildfires.

Technician,Staff,Cut,Trees,From,The,Electrical,Cable,Area,To

To minimize the risk of wildfires caused by power grid issues, it is important to ensure conductors do not encounter any foreign objects like trees, other conductors, or the ground. This can only be achieved by properly managing vegetation in areas surrounding powerlines and by sufficiently keeping conductors separate from each other. Spacers and cotter pins, specifically, play a critical role in keeping conductors separated. Spacers keep conductors away from each other, while cotter pins hold the parts in transmission towers in place.

Cotter pins, however, could wear out and loosen over time. A loose and upside-down cotter pin is more likely to slip, becoming unsafe and increasing the chance of conductor failure and the probability of generating an arc flash touching their surroundings. Therefore, a main focus of the efforts led by the public utility to minimize the chance of wildfires is the management and maintenance of cotter pins specifically. As they are more likely to be upside-down than loose, the public utility decided to first assess the number of upside-down cotter pins on their grid. However, manually identifying the orientation of cotter pins is a tedious and resource-consuming task, as there can be as many as 50 2-inch cotter pins on each lattice tower, and the grid in this case includes over 1000 lattice towers.

The new approach

Both the public utility and the engineering and construction company defined the inspection process based on the required scope and accessibility of each structure. eSmart Systems shared their expertise to support that process definition and provided access to Grid Vision, a virtual inspection solution for power grids, enabling professionals to inspect powerlines from the office. Virtual inspection is a new approach to conducting powerline inspections by leveraging the power of automation, smart algorithms, and user-friendly interfaces to facilitate the work of the professionals analyzing the status of the infrastructure. Virtual inspections are also supported with artificial intelligence (AI) to automatically and promptly identify all the components of a power grid, as well as to detect various failures in the grid. With the application of such technologies, the software was able to identify 781 instances of upside-down cotter pins out of 11,000 cotter pin crops, within seconds (Figure 1).

Figure 1: Examples of an upside-down cotter pin automatically detected in the grid.

By associating those findings with information of the tower on which the upside-down cotter pins were located, the public utility could identify which towers required attention instantly. This approach has improved the efficiency and accuracy of identifying upside-down cotter pins and improved safety by having line workers only climbing structures when needed.

The utility also looked at other types of key components and their failure modes (flashed insulators, woodpecker damage on wooden transmission towers, rust on lattice towers, etc.) that could be identified utilizing this new approach for a proactive maintenance of powerlines. C-hooks and shackles, which are used for affixing insulators to brackets attached to crossarms, are particularly important components to look at in this context. The lattice towers are over 50 years old. Nonetheless, the virtual detection system was able to identify over 25,000 crops of C-hooks and shackles on the images captured during the inspection and very little wear was detected.

Figure 2: Examples of (a) a c-hook in good condition, (b) very limited level of wear seen on c-hooks during the project and (c) a shackle, highlighting the general good condition of those components in the grid.

(A)
(B)
(C)

Utilities are constantly looking for innovative ways to improve safety inspection and grid maintenance. This project has demonstrated that well-designed solutions supported by AI are game-changing tools, making inspection easier, more efficient and safer. The collaborative AI approach was instrumental to ensuring the correct components were identified and defects detected. The construction company’s review of the results from eSmart Systems’ Grid Vision solution ensured that high quality inspection standards were met and illustrated how utilities and engineering companies can benefit from virtual inspection tools.

The success of this program demonstrates how proactive actions can be implemented to enhance power grid management efficiency, and proves that smart solutions could help prevent wildfires, in addition to illustrating numerous other advantages, such as new quality assessment possibilities, defect detection standardization, and increased trust in data.

Contact us today and see how Grid Vision is transforming the way the world’s leading energy providers inspect and maintain critical infrastructure.

[1]https://www.nfpa.org/News-and-Research/Publications-and-media/NFPA-Journal/2020/November-December-2020/Features/Wildfire