Graz, Austria – June 1, 2026 – EOLOGIX-PING today announced the launch of :EVENT LIGHTNING FLEET – Satellite version, a new satellite enabled version of its lightning monitoring solution for wind turbines.
The new version enables wind asset managers to identify which turbine was struck by lightning in remote and low connectivity regions where cellular communication is unreliable or unavailable.
Using Myriota's UltraLite satellite connectivity, :EVENT LIGHTNING FLEET – Satellite version expands EOLOGIX-PING’s proven lightning monitoring capability into wind farms located in remote regions with limited telecom infrastructure.
The core operational value remains unchanged: Helping operators know which turbine was struck by lightning so they can prioritize inspections, improve maintenance planning, and reduce uncertainty after thunderstorms.
“Remote wind farms should not lose operational visibility simply because cellular coverage is limited,” said Matthew Stead, CPO and Co-founder at EOLOGIX-PING. “With :EVENT LIGHTNING FLEET – Satellite version, we are extending turbine level lightning monitoring to regions where traditional communication infrastructure has been a barrier.”
“We’re proud to partner with EOLOGIX-PING to extend lightning monitoring into sites that have traditionally been beyond the reach of reliable connectivity,” said Dan Franklin, Regional Sales Director at Myriota. “Myriota’s UltraLite network is engineered for exactly these types of applications: low power devices transmitting critical operational data from remote or connectivity constrained environments. :EVENT LIGHTNING FLEET – Satellite version delivers a clear operational benefit for wind farm operators, and we’re pleased to support EOLOGIX-PING in bringing that capability to market.”
Designed for operational decision making
Lightning strikes can cause significant blade damage and operational risk for wind turbines. In many cases, operators are forced to perform broad inspections after thunderstorms without clear evidence of which turbines were affected.
Unlike regional weather services that focus on area wide lightning activity, :EVENT LIGHTNING FLEET is designed to provide turbine level operational insight.
The system detects lightning events directly at the wind turbine tower using a magnetic field detector installed inside the Power and Communication Module (PCM). The sensor captures the magnetic field induced by lightning current travelling through the tower structure and generates an event notification transmitted to the cloud.
Supporting remote wind energy expansion
The satellite version addresses a growing challenge in the wind industry as new utility scale projects are increasingly developed in remote regions where cellular infrastructure is limited.
“With this launch, operators can deploy turbine level lightning monitoring at sites that were previously difficult to connect,” said Thomas Schlegl, CEO and Co-founder at EOLOGIX-PING. “This is especially relevant for many wind farms across Latin America where remote geography and limited telecom infrastructure create operational blind spots after lightning events.”
The product is particularly suited for:
● Remote wind farms and low connectivity regions
● Wind farms with challenging telecom infrastructure
● Operators seeking to optimize post storm inspection workflows
About EOLOGIX-PING
EOLOGIX-PING develops monitoring solutions for the wind energy industry, helping operators improve operational visibility, blade monitoring, and maintenance decision making across wind turbine fleets.
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About Myriota
Myriota is a global leader in satellite IoT, delivering the connectivity and hardware that underpin critical operations across agriculture, utilities, logistics, mining, environmental monitoring and defence. Backed by over $100 million in funding and a patent portfolio of 170+ patents, Myriota enables systems integrators, solution providers and OEMs around the world to develop and deploy connected products that sense, track, and monitor assets in even the most remote environments. Learn more at myriota.com.