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SunSniffer的大脑

 
 
 

SUNSNIFFER的大脑: 我们的软件如何工作?

SunSniffer的大脑由3个部分组成:比较器,模拟器和指纹跟踪。这三种计算方法彼此独立工作,彼此平行

1. 比较器

 

我们收集每个组件,每个串组和每个逆变器的数据:组件的电压和温度,串组的电压和电流以及逆变器的电流。

然后将所有数据在它们各自的级别上相互比较,及时显示出最轻微的偏差。

 

2. 模拟器

 

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.

simulation
 
simulation

3. 指纹跟踪

 

我们的技术能够通过人工智能识别错误模式。SunSniffer根据其各自的“指纹”检测每个错误,甚至可以分析和识别未知的错误。因此,我们的技术可以根据每个缺陷特定的特征来检测它们,并确定是哪一个组件。

一旦出现错误,门户网就会显示:

 

在这种情况下:4个组件有电压损耗2个组件损坏