SmartHelio
2 software found

SmartHelio software

SmartHelio - Predictive Maintenance Software for Solar Plants

SmartHelio offers an advanced software solution that is pivotal for solar plant operations by integrating plug-in software to predict faults. This technology leverages physics-informed AI and machine learning to enhance predictive maintenance strategies. By creating a digital twin from data extracted from existing SCADA and CMS platforms, it delivers real-time fault prediction and localization. This system identifies root causes of component failures, quantifies associated losses, and recommends prioritized actions, enabling solar stakeholders to improve operational control and efficiency. The software emphasizes transparency and communication through tools like Site Validation Reports, enabling effective ground-to-management information flow. The inclusion of a C-suite AI-driven dashboard facilitates in-depth portfolio analysis, delivering actionable business insights rapidly. The platform's capacity to maximize performance by 10% without necessitating additional hardware positions it as a crucial asset for those aiming to excel in the evolving field of predictive solar analytics.

SmartHelio - AI-Driven Audit Solution for Solar PV Plants

SmartHelio's AI-Driven Audit solution provides a comprehensive diagnostics tool that greatly enhances the operational efficiency of solar photovoltaic (PV) plants. This one-time diagnostics solution is capable of addressing critical industry challenges such as data quality issues and lack of transparency. Leveraging advanced AI algorithms, it can perform thorough fault analysis and generate detailed health reports. The audit solution is designed to work with any PV plant, regardless of the equipment or location. By utilizing historical data shared via CSV or API, it efficiently creates a digital twin of the plant, extracting essential information including equipment specifications and maintenance reports. The AI-powered system identifies both current and future faults, offering actionable insights and recommendations. Its minimal data requirement and capacity for high-speed processing make it an effective tool for strategic planning and risk management in solar energy operations.