| CPC B64U 80/30 (2023.01) [B64U 10/17 (2023.01); B64U 20/87 (2023.01); H02S 40/10 (2014.12); B64U 2101/29 (2023.01); B64U 2201/10 (2023.01)] | 1 Claim |
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1. A cleaning system suitable for an ultra-large-scale photovoltaic power station, comprising a control terminal, an intelligent control center, and a large-load unmanned helicopter, wherein the control terminal is provided with an operation interface to receive an instruction from an operator and transmit the instruction to the intelligent control center through a wireless communication, and the intelligent control center is provided with a processor, a wireless communication module, a flight monitoring and control module, and a data feedback and optimization module;
the flight monitoring and control module is responsible for monitoring a flight status and a fuel quantity of the large-load unmanned helicopter, and the data feedback and optimization module collects performance data during an operation, wherein the performance data comprises operation time and fuel consumption;
the intelligent control center is wirelessly connected to the large-load unmanned helicopter through the wireless communication module to control the large-load unmanned helicopter, and the large-load unmanned helicopter is provided with a flight control system, a Global Positioning System (GPS), a camera, a fuel tank management system, and a high-pressure gas-liquid two-phase flow cleaning device;
the flight control system comprises an automatic flight control module, a route planning module, an image processing and analysis module, a cleaning execution module, and an obstacle avoidance sensor;
the automatic flight control module is responsible for a basic flight control of the large-load unmanned helicopter;
the route planning module is allowed to design a flight path of the large-load unmanned helicopter automatically according to an input specific layout and terrain conditions of the ultra-large-scale photovoltaic power station;
the image processing and analysis module is responsible for processing an image collected by the camera, and correcting the flight status of the large-load unmanned helicopter by using image processing results;
the cleaning execution module is responsible for controlling cleaning parameters of the high-pressure gas-liquid two-phase flow cleaning device, wherein the cleaning parameters comprise an injection pressure, an injection angle, and continuous injection time;
the obstacle avoidance sensor is responsible for detecting a surrounding obstacle and prompting the large-load unmanned helicopter to avoid obstacles; and
a cleaning method for the cleaning system suitable for the ultra-large-scale photovoltaic power station, comprising the following steps:
S1: issuing a path planning instruction by the control terminal to carry out a cleaning route planning;
S11: controlling a first take-off of the large-load unmanned helicopter after the intelligent control center receives the path planning instruction issued by the control terminal to obtain an aerial photograph of the ultra-large-scale photovoltaic power station, and obtaining a specific layout and the terrain conditions of the ultra-large-scale photovoltaic power station, wherein the specific layout and the terrain conditions of the ultra-large-scale photovoltaic power station comprise a position, a size, and an arrangement mode of a photovoltaic panel;
S12: generating an initial cleaning route by the route planning module using a pre-set algorithm according to the specific layout and the terrain conditions of the ultra-large-scale photovoltaic power station;
S13: adjusting the initial cleaning route, avoiding buildings and trees, and determining a safe flying height;
S14: adjusting time and manner of a cleaning by the route planning module using environmental factors, wherein the environmental factors comprise weather conditions, light intensity, and wind speed; and
S15: using an adjusted initial cleaning route as a cleaning route;
S2: issuing an intelligent cleaning instruction by the control terminal to clean the photovoltaic panel;
S21: controlling a second take-off of the large-load unmanned helicopter after the intelligent control center receives the intelligent cleaning instruction issued by the control terminal, and flying according to the cleaning route by the automatic flight control module, during a flight process, acquiring the image by the camera, and adjusting the cleaning route by the image processing and analysis module based on the image and combined with the obstacle avoidance sensor;
S22: in the flight process, monitoring the flight status of the large-load unmanned helicopter continuously by the flight monitoring and control module, wherein the flight status comprises speed, altitude, direction, and the fuel quantity;
S23: during the flight process, performing a jet cleaning on the photovoltaic panel by the cleaning execution module controlling the high-pressure gas-liquid two-phase flow cleaning device;
S24: during a cleaning process, monitoring the flight status and the fuel quantity of the large-load unmanned helicopter in real-time by the intelligent control center through the flight monitoring and control module, and collecting cleaning time and a fuel consumption measurement by using the data feedback and optimization module; and
S25: completing the cleaning when the large-load unmanned helicopter has completed the cleaning route; and
S3: after the cleaning, according to data of the large-load unmanned helicopter, judging that the large-load unmanned helicopter moves to a next cleaning point, or returns to a supply station according to a planned route by the intelligent control center.
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