100% SunSniffer® = 100% Transparency

Brain of SunSniffer



In our junction boxes a sensor is factory-integrated. It measures voltage and the temperature in the junction box and passes the values over the existing wiring (powerline) to the string readers. These also measure the voltage and the current of each string and pass this data together with the data from the sensors to the gateway. There the inverter data is also read and all the information is sent together to the web portal, where it is comprehensively analyzed and processed into an easily comprehensible form.
In case of problems, the plant operator is immediately notified together with appropriate recommendations for action:

The measurement of the module temperature enables a precise and short-term calculation of the performance ratio. The module temperature has a great influence on the performance of the module. Wind, for example, can lower the temperature rapidly by 20°C - representing a performance difference of 8.8%!

By measuring the voltage, even the smallest deviation from the desired value is detected - and the error precisely identified. For every error has a unique electronic signature - PID has a different voltage profile to a defective diode.

SunSniffer data transmission colored



The brain of SunSniffer consists of 3 components: Comparison, Simulation und Fingerprint-Tracking. Those three calculation methods work independently from each other and parallel to each other.

1. Comparison


We collect data of each module, each string, and each inverter: voltage and temperature from modules, voltage and current from strings and current from the inverter. 

All data then is compared to each other on every level, which shows even the slightest deviations instantaneously.


2. Simulation


A simulation engine works bottom-up and provides comparisons between the desired and actual values: not only are modules compared with each other, but the desired values, excluding irradiation and temperature distortions, are also included. Besides the measurement of the module temperatures the referential cells we use provide exact information on the irradiation prevailing on the plant site. Basic to the calculations are the individual flasher data. In addition, historical data is used as well to detect for example recurring effects like shading situations in springtime or fall, which are due to flat irradiation angles.


3. Fingerprint tracking


Our technology is able to recognize error patterns by means of artificial intelligence. SunSniffer detects each error according to its individual "fingerprint", and even so far unknown errors can be analyzed and identified. Thus it is possible with our technology to detect each defect according to its specific characteristics and to see exactly which module is concerned.


As soon as an error has been recognized, the webportal shows it: 


In this case: loss of voltage at 4 modules, and 2 are defective.

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