Wind farm at dusk — SignalLore, the GPE Systems data platform

Full control over your turbine data

Integrates data from turbines and monitoring systems, ensuring security and full control over its flow.

Your turbines. Your data. Your decisions."

Data sovereignty
Single data source
Offline resilience
Faster service decisions
01 · Problem

The data exists. Full control over it doesn't.

Wind turbines and monitoring systems generate enormous volumes of operational data. In practice, this data remains scattered across different systems, vendors and manufacturer portals. This limits the asset owner's independence, slows down service decisions and increases the risk of delayed response.

Vendor Cloud ACMS PortalSCADA ServerVendor Cloud BLegacy DB

Scattered data sources and systems

Fragmented data

Information from turbines, adapters and CMS systems lives in many different places.

Vendor dependency

Access to data may be constrained by the manufacturer, cloud model or API.

No unified view

Technical teams do not always see the full context of asset condition.

Offline risk

When internet connectivity fails, access to cloud data can be limited.

Slower decisions

Without consistent data, analysis and service response take longer.

02 · Product – SignalLore

An independent data acquisition layer for turbines and CMS systems

SignalLore connects to wind turbines, sensors and CMS systems via local signal integration, collecting operational and diagnostic data without going through the manufacturer's cloud.

Every measurement stream is validated, processed and delivered to the database and monitoring systems — ready for queries, visualization and long-term history.

SignalLore
INDEPENDENT
From the manufacturer's cloud
LOCAL
Runs within the client's infrastructure
SCALABLE
Grows together with the infrastructure
03 · How it works

From turbine to dashboard in one coherent flow

Four steps — from operational data of turbines and CMS systems to data ready for monitoring and analytics.

1

Turbines / CMS / Sensors

Operational data from many sources

2

Signal integration

Local signal integration and data pre-processing

3

SignalLore

Data acquisition and integration platform

4

Monitoring and analytics

Data ready for monitoring, analysis and service decisions.

04 · Comparison

Why not rely on the manufacturer's cloud alone?

Gain independence, a complete operational picture and full control over data flow.

Manufacturer's cloud

  • Data spread across many portals
  • Dependency on the vendor and its infrastructure
  • API limitations and manual exports
  • Risk of no access when internet is down
  • Limited control over data format and flow

SignalLore

  • Data stays in the owner's infrastructure
  • Single data source for monitoring and analytics
  • Local resilience and continuity of operation
  • Data validation and processing before storage
  • Full control over data flow from your assets
05 · Benefits

Benefits of the SignalLore platform

Offline resilience

Automatic error handling, resilience against unstable connections and local data buffering ensure continuity even when communication issues occur.

Faster service decisions

Consistent, validated data gives technical teams a fuller view of asset condition and shortens the time needed for analysis.

Full control over data

You manage access, flow and use of the data without limits imposed by an external cloud.

Single source for monitoring and analytics

Data from different turbines, sensors and CMS systems reaches one consistent environment, ready for further use.

Openness and freedom to integrate

Integrate SignalLore with your existing systems and tools without locking data into a single vendor's ecosystem.

Ready to scale

Grow your environment together with your infrastructure by adding more turbines, data sources and target systems.

06 · Technical specification

Technical parameters

Platforms

Linux, Windows

Communication

TCP, HTTP, WebSocket

Device registration

Automatic identification and registration of new turbines, including identification based on MAC address

Operating modes

Data push and adapter polling

Reliability

Timeout management, retry, comprehensive error handling

Data processing

Validation, transformation and enrichment before storage

Scalability

Modular architecture for new device and adapter types

Application

Condition-based monitoring, diagnostics, service analytics

07 · Integrations and data sources

Data flow

Data sources
Turbines
Sensors
CMS systems
Other data sources
SignalLore
Target systems
Sensor DB
Monitoring
Analytics
Service systems

See how to gain greater control over your turbine data

Book a SignalLore demo and see how the platform streamlines the acquisition and integration of data from turbines and monitoring systems.