MicrosoftLive sourceProductionEvidence: Low40/100

HIGHVOLT enabled fault prediction and reduced outages for power grid operators

HIGHVOLT, in partnership with SoftwareOne and leveraging Microsoft Azure, developed HiMON®, a monitoring system for underground extra-high voltage power cables critical to Germany's green energy transition. This solution uses special sensors to continuously monitor the operational status and quality of the cables, collecting vast volumes of sensor data. The data is processed in real time using Azure services, such as Azure IoT and Azure Kubernetes Service, to enable early and accurate identification of cable faults. While currently focused on real-time monitoring and fault localization, the architecture allows for future integration of AI-based predictive maintenance, aiming to predict faults before they occur and prevent outages. The comprehensive solution increases the reliability and availability of Germany's critical energy infrastructure while minimizing disruptions, downtime, and associated costs for transmission system operators.

Organization
HIGHVOLT
Location
Germany
Published
May 2025
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
HIGHVOLT
Provider
Microsoft
Maturity
Production
Linked source
softwareone.com

This solution uses special sensors to continuously monitor the operational status and quality of the cables, collecting vast volumes of sensor data

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1predictive maintenance
  • 2critical grid monitoring
  • 3fault detection
  • Implemented HiMON® system using special sensors to monitor cable transmission quality continuously.
  • Deployed Microsoft Azure IoT and Azure Kubernetes Service for real-time data collection and processing.
  • SoftwareOne designed the flexible software architecture.
  • System enables remote monitoring, fast fault localization, and is prepared for integration of AI predictive maintenance.
  • Improved availability of critical power grid infrastructure.
  • Allowed more cost-effective and sustainable operations for energy providers.
Architecture

HiMON® uses special sensors embedded in underground power cables to transmit operational data to the cloud. Data is collected and aggregated via Azure IoT, processed in real time through Azure Kubernetes Service, supporting remote monitoring, rapid fault localization, and an architecture ready for future integration with AI predictive maintenance algorithms.

Implementation partners1
Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Recent evidence check available
  • Last evidence check: Jul 22, 2026.
Live sourceStill referenced

The case's original source is still reachable.

  • Cited source last checked Jun 12, 2026 — ok (0/1 broken).

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Type: Case StudyPublished: May 19, 2025Publisher: softwareone.comEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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