Energy & Utilities
AI-powered grid monitoring and command execution on your own infrastructure. Turbine telemetry, substation data, and grid events never leave your private network, satisfying NIS2 Directive and GDPR requirements for critical infrastructure operators.
The Challenge
Energy operators manage assets spread across large geographies: wind farms, solar sites, substations, and grid-connected storage. Real-time visibility into device state — rotor speed, pitch angle, active power, grid frequency — is essential for safe operation. Reacting to a grid event often means adjusting dozens of setpoints at once, from wherever the operator happens to be.
Most SCADA-based solutions require a workstation login and a VPN. Cloud-based IIoT platforms solve the remote access problem but create a new one: operational telemetry for critical national infrastructure transiting a public cloud is a security and regulatory liability under the EU NIS2 Directive.
How BunkerM Fits In
BunkerM Enterprise runs on a local server at the control centre or at the edge of each site. Edge nodes — Beckhoff TwinCAT controllers, Schneider Modicon PLCs, or ABB AC500 units — publish Sparkplug B birth certificates on connect, declaring every metric they expose with name, type, and engineering unit. BunkerM builds a live registry and keeps it current as values change.
When a grid frequency event requires a response, the operator opens Telegram and types: "Reduce pitch angle setpoint on Turbines 7 through 12 to 2.5 degrees." BunkerM identifies the six turbines in the registry, looks up the correct metric name for each from their birth certificate, encodes a DCMD message for each, and presents a confirmation step before publishing. No workstation. No SCADA client login. No operational data leaving the private network.
A Typical Deployment
A renewable energy operator manages 12 wind turbine sites across three regions. BunkerM Enterprise connects to Schneider Electric Modicon PLCs and Beckhoff TwinCAT edge nodes at each site over a private WAN. Rotor speed, pitch angle, active power, nacelle temperature, and vibration metrics are tracked as typed Sparkplug B values. Control room staff query live status and historical deviations via AI chat. Site managers receive anomaly alerts on Telegram when a turbine deviates from expected operating parameters.
For remote or offshore sites with intermittent connectivity, BunkerM supports air-gapped single-site deployment. The AI model runs locally via LM Studio, with no dependency on any external cloud service.
Privacy & Compliance
🔒 Critical infrastructure, private by design. No turbine telemetry, no grid event data, and no setpoint command ever transits a public network. BunkerM Enterprise runs entirely within your operational network. This architecture directly addresses NIS2 Directive obligations for operators of essential services, and eliminates GDPR risk for any personal data associated with site personnel or asset ownership records.