Predictive Software From SmartHelio

SmartHelio's AI-Powered Solar Plant Management Software, Autopilot, Autonomously Detects And Predicts Faults, Reduces Installation Downtime
AutoPilot for power plants: The Autopilot software suite from SmartHelio detects the faults and implements the countermeasures easing the O&M of the solar power plants. (Source: SmartHelio)
AutoPilot for power plants: The Autopilot software suite from SmartHelio detects the faults and implements the countermeasures easing the O&M of the solar power plants. (Source: SmartHelio)
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  • SmartHelio's Autopilot software uses AI and machine learning to automatically detect and predict faults in real time and an Intersolar Award 2023 finalist
  • Autopilot integrates with PV monitoring platforms to create a digital twin of the solar plant, which provides actionable insights from day one
  • Autopilot is priced on a pay-per-fault basis, which makes it a cost-effective solution for solar plant owners and operators.

SmartHelio, an AI-based software solutions provider focusing on green energy technologies, has developed an innovative software suite called Autopilot for solar plants. This innovative solution earned a spot as a finalist for the IntersolarAWARD 2023. By harnessing the power of artificial intelligence (AI), Autopilot supports operational and maintenance teams by automatically detecting faults and swiftly implementing countermeasures, thereby minimizing solar installation downtime.

Integration with various PV monitoring platforms, including SCADA/CMS, allows Autopilot to extract crucial information such as equipment specifications, maintenance reports, Single Line Diagrams, and thermographic images. Within minutes, a digital twin of the solar plant is created, providing actionable insights from day one. Utilizing AI and machine learning techniques, personalized physical models are developed for each monitored PV system. Operating data patterns are swiftly matched to typical errors, empowering real-time fault prediction and localization.

Autopilot goes beyond identification by determining the root cause, quantifying current and projected losses, and suggesting prioritized actions for the user to take. It also has other features such as Diagnostics Theatre that enhance fault analysis by presenting fault signatures detected by the system, the Site Validation Report (SVR) streamlines fault assignment for managers, offering clear indications and recommendations and a C-suite AI-driven dashboard enables quick analysis of portfolio-level information for higher management. The pay-per-fault pricing scheme is also interesting.

The text is an excerpt from TaiyangNews New Solar Products Overview H1/2023, which can be downloaded for free here.

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