Data uploading method for solar panel monitoring system and solar panel monitoring system

Abstract

The invention discloses a data uploading method for a solar panel monitoring system and the solar panel monitoring system. The data uploading method for the solar panel monitoring system includes the steps that parameter information of each string of photovoltaic cells in each solar panel of a photovoltaic power generation system is collected, the parameter information is modulated into pulse carrier signals, and the pulse carrier signals are loaded to a bus bar, connected with the solar panels in series, of the photovoltaic power generation system; after a server, connected to the bus bar in series, of the photovoltaic power generation system receives the pulse carrier signals, the parameter information of the solar panels is obtained through demodulation, data completely uploaded within a set time difference delta T is regarded as valid data, and other data is discarded. The intelligent monitoring method is introduced into the solar panels of the photovoltaic power generation system, the conflict probability is reduced through random data sending, the data validity is guaranteed through a synchronous data uploading mechanism, and thus the solar panels are monitored and analyzed in teal time. The invention further discloses the solar panel monitoring system.

Description

technical field [0001] The invention relates to a data uploading method and a system applying the data uploading method, in particular to a data uploading method of a battery board monitoring system and the battery board monitoring system. Background technique [0002] The safety performance of photovoltaic systems has been paid more and more attention. Due to the huge number of components, it has become an important aspect of safety. There is a lack of reliable and stable component-level monitoring and analysis systems in the market. In the actual application process, such as under cloudy conditions, the illumination changes drastically, and the difference in the upload time of component data will lead to data asynchrony, resulting in invalid data. The current technology / product data upload method is either through the host query method, which is slow and the data is not synchronized; or the average value or cumulative sum of uploaded data for a period of time is used, whic...

AI Technical Summary

Problems solved by technology

In the actual application process, such as under cloudy conditions, the illumination changes drastically, and the difference in the upload time of component data will lead to data asynchrony, resulting in invalid data

The current technology / product data upload method is either through the host query method, which is slow and the data is not synchronized; or the average value or cumulative sum of uploaded data for a period of time is used, which is not real-time enough and cannot reflect real-time changes

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