Jungle AI

Jungle AI utilizes AI technology to comprehend the functioning of your machines across various operating conditions. It aids in early identification of potential breakdowns, minimizing machine idle time, and enhancing overall performance.

About Jungle AI

Jungle AI offers an AI-driven platform, Canopy, designed to monitor and analyze wind and solar assets using existing SCADA and sensor data. The tool builds a baseline of expected behavior for each asset and flags deviations that may indicate developing issues, even before traditional alarms are triggered. It is aimed at renewable energy teams seeking to reduce downtime, prevent production losses, and optimize asset performance. Canopy does not require new hardware and can be operational within weeks. Pricing details are not provided on the website.

Best for: wind farm operators, solar farm operators, renewable energy asset managers

Key features

Analyzes existing SCADA and sensor data to monitor asset performance
Uses machine learning to establish expected behavior baselines for each asset
Detects abnormal patterns and performance drifts before fixed alarms trigger
Provides actionable cases with context and evidence for teams to investigate

Use cases

Early detection of wind turbine bearing or gearbox issues to prevent downtime
Flagging abnormal pitch behavior to recover lost energy production
Monitoring for hydraulic or pressure anomalies in wind turbines

Pros

No additional hardware required for deployment
Can be implemented and live within 2 to 3 weeks

Screenshots

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