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Sunto - All-in Panel Sensor for Real-time PV Monitoring

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The All-in Panel Sensor (APS) is an innovative clamp-on device designed to enhance photovoltaic (PV) panel monitoring by measuring string current, temperature, and tilt without disrupting panel connection. This device stands out for its ability to facilitate the agile, accurate, and cost-effective management of solar assets. It plays a critical role in fault diagnosis by correctly identifying and locating issues such as broken fuses, wire rust, connector faults, shading, soiling, and tracking misalignments. By predicting early degradation signs in solar panels, it supports more efficient operation and maintenance strategies. APS is instrumental in augmenting the performance ratio (PR) and in forecasting solar plant production. The system operates within real-time and predictive frameworks using cutting-edge machine learning and deep learning algorithms, ensuring the optimization of maintenance interventions across diverse solar installations. The patent-pending technology includes optional components like a wireless docking station and a solar irradiance sensor.
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APS is an original clamp-on device that, without interrupting the string continuity, delivers real-time measurements of the PV panel string current, temperature, and tracked PV panel tilt.
PV panel and tracker monitoring made agile, precise and low-cost!

  • Small and lightweight
  • Highly versatile
  • Extremely easy to install
  • Maintenance-free
  • Usable under any weather conditions
  • High reliability (MTBF ~10 years)
 

Reactive O&M practices with a correct diagnosis and localization of anomalies at the panel level and a tracker level is crucial in order to improve performance and maximize the return on investment of solar assets.
Its measurements lead a precise diagnosis of the faults origins (i.e. broken fuse, wire rust, connector faults, local shading, local soiling, tracking misalignments, early degradation in solar panels) overcoming the difficulty of finding and locating anomalies at the panel and tracker level.

APS is profitably employed within  cloud, real-time and predictive solutions, based on the most advanced Machine Learning, Deep Learning  algorithms, to increase the performance ratio, to forecast the production of the solar plants and to optimise the O&M interventions across several solar assets.

  • Local diagnosis of PV (fixed and tracked) panel anomalies
  • Local diagnosis of tracker anomalies
  • O&M interventions optimisation
  • PV plant performance monitoring and optimisation
  • PV production forecasting