5 – 8x faster inspection cycles
compared to traditional methods.
Up to 60% improvement
in defect detection accuracy.
Up to 50% reduction
in reactive maintenance costs.
The challenge
Mitnetz Strom, part of the E.ON group and one of the largest grid operators in Eastern Germany, manages 72,000 kilometers of HV, MV, and LV lines. As the grid ages and demand increases, the utility needed a more scalable and intelligent way to inspect and assess its infrastructure, while working toward its goals of improving safety, transitioning to predictive maintenance, and reducing its carbon footprint.
Traditional inspection methods were time-consuming and lacked the depth and consistency of data needed to support these objectives. Mitnetz also faced challenges with knowledge retention and the absence of a centralized repository for asset data.
The solution
To address these needs, Mitnetz implemented Grid Vision® to support its broader digitalization strategy and build a digital twin of the physical grid.
Starting with the capture of high-resolution imagery through standardized, repeatable drone flights, Mitnetz created an image-based digital representation of its assets within Grid Vision®. The software enables virtual condition assessments with insights down to the component level, significantly reducing the need for follow-up field visits. Teams now collaborate more closely, identifying issues from the desktop, prioritizing and planning repairs remotely, and feeding results back into Mitnetz’s maintenance systems and certified asset management processes. Grid Vision’s AI powers faster, more intelligent analytics that enable confident, data-driven decisions.
This integrated approach advances Mitnetz’s digital twin initiative, supporting predictive maintenance, reducing emissions, preserving knowledge, and enabling advanced grid analytics.
AI-powered grid insights
down to the component level, helping teams detect issues earlier and act faster.
Knowledge retention at scale
A centralized asset repository that supports training and future-proof planning.
Remote maintenance planning
reducing field visits and improving response time.
Increase sustainability
by reducing manual inspections and helicopter flights to cut emissions and operate more responsibly.
We are able to directly jump from our network information system into Grid Vision to have a closer look at defects or to prepare repair measures. That really makes a difference: colleagues no longer send pictures back and forth or store them in different places with inconsistent naming. They can easily share and use the information for maintenance, which gives us better efficiency and more traceable documentation.
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