Photovoltaic operation robot system

Abstract

The invention relates to a photovoltaic operation robot system. The system assists accomplishment of daily operation of a power station through an onsite instant operation module, a power station fault processing module and a dust cleaning policy prompting module. According to the system, through analysis of historical data of the power station, a photovoltaic power station data model is established by employing a deep learning method, the operation condition, the generating condition and the alarm condition of the power station can be accurately reported, and rapid positioning of fault reasons and synchronous pushing of the optimal fault processing method are realized; double hands of operation personnel can be liberated through a voice recognition system, and instant communication response with the operation personnel in the power station is realized with the cooperation of grabbing of corresponding data; moreover, the operation personnel can be assisted with onsite operation throughan image recognition technology; and with the cooperation of a dust cleaning algorithm and on-site monitoring equipment, the pushing of the dust loss amount and the cleaning policy is realized, refined and standardized management of the photovoltaic power station can be finally realized, healthy operation of the power station is ensured, the burden of the operation personnel is reduced, and valuemaximization is realized.

Description

technical field [0001] The invention relates to a monitoring and management technology, in particular to a photovoltaic operation and maintenance robot system. Background technique [0002] In recent years, with the rapid development of the new energy industry, as of 2016, the cumulative installed capacity of photovoltaic power generation in the country was 77.42 million kilowatts. The "National Energy Strategic Action Plan (2014-2020)" of the 13th Five-Year Plan proposes that by 2020, the installed capacity of photovoltaics in the country will reach about 100 million kilowatts. In such an industry environment, the number and business scale of photovoltaic power stations are growing rapidly at the same time. However, there are currently a large number of photovoltaic power stations with scattered sites, and the cost of monitoring and operation and maintenance is high and difficult. The target power station monitoring operation and maintenance system has simple functions, la...

AI Technical Summary

Problems solved by technology

[0005] 2. There are many equipments in the power station and the data is complicated. Is it possible to use advanced big data and machine learning technology to integrate and analyze massive data and extract models?

[0006] 3. Whether inefficient equipment can be found through data analysis, especially whether potential problems can be found before failures occur

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