Intelligent cleaning device and system for stubborn stains of photovoltaic power station

Abstract

The invention provides an intelligent cleaning device and system for stubborn stains of a photovoltaic power station, and relates to the technical field of photovoltaic cleaning. The cleaning device comprises a stain early warning module used for monitoring stain accumulation data of the photovoltaic surface and outputting stain early warning information based on the stain accumulation data; the cleaning decision module is used for acquiring meteorological information, photovoltaic power station use information and photovoltaic surface stain type information based on the stain early warning information; determining cleaning liquid components based on the stain type information; determining spraying information based on the stain early warning information and the weather information; a spraying strategy is determined based on the cleaning fluid components and the spraying information; determining a cleaning strategy based on the stain early warning information, the weather information and the photovoltaic power station use information; the spraying module is used for spraying cleaning liquid to the photovoltaic surface based on a spraying strategy; and the cleaning robot is used for cleaning the photovoltaic device based on the cleaning strategy. According to the invention, the photovoltaic cleaning efficiency can be improved, the labor cost is reduced, and the cleaning effect is improved.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic cleaning technology, and in particular to an intelligent cleaning device for stubborn stains in photovoltaic power stations and an intelligent cleaning system for stubborn stains in photovoltaic power stations. Background Art

[0002] Photovoltaic power generation technology uses solar cells to directly convert sunlight into electricity. With the increasing global demand for renewable energy, photovoltaic power generation technology has gained widespread application. Driven by the "dual carbon goals," some coal-fired power plants, shipyards, forgings, chemical plants, and smelters are actively building photovoltaic power plants. Pollutants emitted from these plant chimneys can drip onto the surface of photovoltaic modules, forming a stubborn layer of stains. This not only significantly reduces the power generation of the photovoltaic station but also corrodes the glass surface of the modules. Stubborn stains can even cause hot spots, leading to overheating and burnout of the modules (in severe cases, causing overheating and burnout). Furthermore, in addition to the persistent chemical and chemical stains that affect photovoltaic stations near various factories, the surface of photovoltaic modules can also be affected by persistent (biological) stains such as bird droppings during operation due to environmental factors. These stains not only affect the power generation of the modules but also their safety.

[0003] Conventional technology typically uses a powered roller brush combined with a detergent to manually clean photovoltaic panels. However, photovoltaic panels are typically installed outdoors, where they can accumulate stubborn stains such as plaster rain, bird droppings, and rust, necessitating frequent cleaning. Manual cleaning is inefficient and inadequate for the needs of photovoltaic power plants, resulting in poor cleaning results. Furthermore, manual cleaning carries high long-term maintenance costs. Existing methods rely on manual operation and maintenance, which, over time, increases the cost of photovoltaic power plants. Summary of the Invention

[0004] In response to the technical problems in the prior art of low cleaning efficiency, poor cleaning effect and high cleaning cost for stubborn stains on the surface of photovoltaic power station components, the present invention provides an intelligent cleaning device for stubborn stains on photovoltaic power stations and an intelligent cleaning system for stubborn stains on photovoltaic power stations. The intelligent cleaning device for stubborn stains on photovoltaic power stations can improve the cleaning efficiency of stubborn stains on the surface of photovoltaic components, reduce labor costs and improve cleaning effects.

[0005] To achieve the above-mentioned objectives, the first aspect of the present invention provides an intelligent cleaning device for stubborn stains in a photovoltaic power station, the intelligent cleaning device for stubborn stains in a photovoltaic power station comprising: a stain warning module, configured to monitor accumulated stain data on a photovoltaic surface and output stain warning information based on the accumulated stain data; a cleaning decision module, connected to the stain warning module, configured to: obtain meteorological information, photovoltaic power station usage information, and information on the type of stains on the photovoltaic surface based on the stain warning information sent from the stain warning module; determine a cleaning liquid composition based on the stain type information; determine spray information based on the stain warning information and the meteorological information; determine a spray strategy based on the cleaning liquid composition and the spray information; and determine a cleaning strategy based on the stain warning information, the meteorological information, and the photovoltaic power station usage information; a spray module, connected to the cleaning decision module, configured to spray cleaning liquid onto the photovoltaic surface based on the spray strategy sent from the cleaning decision module; and a cleaning robot, connected to the cleaning decision module, configured to perform a cleaning operation on the photovoltaic surface based on the cleaning strategy sent from the cleaning decision module.

[0006] Furthermore, determining the composition of the cleaning liquid based on the stain type information includes: when the stain type is determined to be gypsum rain stain, determining that the cleaning liquid includes the following components: modified polyethoxylated alcohol, modified polyethoxylated alcohol auxiliary agent, alkylphenol polyoxyethylene ether, complexing agent, sodium bicarbonate, sodium alkylbenzene sulfonate, trisodium phosphate, sodium benzoate, urea, water-based solvent, surfactant and water.

[0007] Furthermore, the modified polyethoxylated alcohol auxiliary agent includes an ethoxylated fatty amine tallow amine dispersant; the water-based solvent includes methyl cellosolve; and the complexing agent includes one or more of EDTA, citric acid, malic acid, and lactic acid.

[0008] Furthermore, determining the cleaning liquid composition based on the stain type information includes: when the stain type is determined to be iron oxide stain, determining that the cleaning liquid includes the following components: organic acid, surfactant, penetrant, dispersant, corrosion inhibitor and water.

[0009] Furthermore, determining the cleaning liquid composition based on the stain type information includes: when the stain type is determined to be a biological stain, determining that the cleaning liquid includes the following components: a penetrant, an emulsifier, a dispersant, an oxygenated water active agent, a surfactant, and water.

[0010] Furthermore, the cleaning robot includes: a walking mechanism, a roller and a roller brush; the walking mechanism can walk on the photovoltaic surface; the roller brush is set on the walking mechanism through the roller, and when the walking mechanism walks on the photovoltaic surface, the roller brush can roll with the roller as the axis to clean the stains on the photovoltaic surface.

[0011] Furthermore, brush filaments are evenly distributed on the surface of the roller brush, and the brush filaments are made of polybutylene terephthalate material.

[0012] Furthermore, the length of the brush filament is between 60 mm and 63 mm.

[0013] Furthermore, the diameter of the brush filaments is between 0.3 mm and 0.5 mm.

[0014] A second aspect of the present invention provides an intelligent cleaning system for stubborn stains in a photovoltaic power station, wherein the intelligent cleaning system for stubborn stains in a photovoltaic power station comprises the intelligent cleaning device for stubborn stains in a photovoltaic power station described above.

[0015] The technical solution provided by the present invention has at least the following technical effects: The intelligent cleaning device for stubborn stains in photovoltaic power plants of the present invention comprises: a stain warning module, a cleaning decision module, a spray module and a cleaning robot. The stain warning module monitors the accumulation of stains on the photovoltaic surface and outputs stain warning information based on the accumulated stain data. The cleaning decision module obtains meteorological information, photovoltaic power plant usage information and information on the type of stains on the photovoltaic surface based on the stain warning information; determines the composition of the cleaning liquid based on the stain type information; determines the spray information based on the stain warning information and meteorological information; determines the spray strategy based on the composition of the cleaning liquid and the spray information; determines the cleaning strategy based on the stain warning information, meteorological information and photovoltaic power plant usage information; and outputs the cleaning strategy and the spray strategy. The spray module sprays the cleaning liquid onto the photovoltaic surface based on the spray strategy, and the spray strategy sprays the cleaning liquid onto the photovoltaic surface to clean the photovoltaic based on the cleaning strategy. The intelligent cleaning device for stubborn stains in photovoltaic power stations provided by the present invention can adopt corresponding cleaning agents for different stains, and determine the spraying information of the spray module based on the stain warning information and meteorological information, so as to spray the cleaning liquid to the photovoltaic in a more targeted manner. At the same time, the cleaning strategy of the cleaning robot is generated based on the stain warning information, meteorological information and photovoltaic power station usage information, and the cleaning robot is controlled to clean the photovoltaic in a more purposeful manner based on the actual situation. It can realize the mechanical automatic cleaning of stubborn stains in photovoltaic power stations, improve the cleaning efficiency of stubborn stains on the surface of components, reduce labor costs, improve cleaning effects, and effectively improve the power generation efficiency and safety of photovoltaics.

[0016] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following detailed description, they are used to explain the embodiments of the present invention, but do not constitute a limitation of the embodiments of the present invention. In the accompanying drawings: The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following detailed description, they are used to explain the embodiments of the present invention, but do not constitute a limitation of the embodiments of the present invention. In the accompanying drawings: Figure 1 A schematic diagram of an intelligent cleaning device for stubborn stains in a photovoltaic power station provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of an intelligent cleaning device for stubborn stains in a photovoltaic power station according to one embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following describes the specific implementation of the embodiment of the present invention in detail with reference to the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the embodiment of the present invention and is not used to limit the embodiment of the present invention.

[0019] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0020] In the present invention, unless otherwise specified, directional words such as "up, down, top, bottom" are usually used to describe the relative positions of components in the directions shown in the drawings or in the vertical, perpendicular or gravity directions.

[0021] As mentioned in the background art, the performance of existing semiconductor structures is relatively poor, which will be described in detail below with reference to the accompanying drawings.

[0022] Please refer to Figure 1 According to a first aspect of an embodiment of the present invention, there is provided an intelligent cleaning device for stubborn stains in a photovoltaic power station, the intelligent cleaning device for stubborn stains in a photovoltaic power station comprising: a stain warning module for monitoring accumulated stain data on a photovoltaic surface and outputting stain warning information based on the accumulated stain data; a cleaning decision module connected to the stain warning module for: obtaining meteorological information, photovoltaic power station usage information, and information on the type of stains on the photovoltaic surface based on the stain warning information sent from the stain warning module; determining a cleaning liquid composition based on the stain type information; determining spraying information based on the stain warning information and the meteorological information; determining a spraying strategy based on the cleaning liquid composition and the spraying information; and determining a cleaning strategy based on the stain warning information, the meteorological information, and the photovoltaic power station usage information; a spraying module connected to the cleaning decision module for spraying cleaning liquid onto the photovoltaic surface based on the spraying strategy sent from the cleaning decision module; and a cleaning robot connected to the cleaning decision module for performing a cleaning operation on the photovoltaic surface based on the cleaning strategy sent from the cleaning decision module.

[0023] Specifically, in an embodiment of the present invention, an intelligent cleaning device for stubborn stains in a photovoltaic power station includes: a stain warning module, a cleaning decision module, a spray module, and a cleaning robot. The stain warning module monitors accumulated stain data on the photovoltaic surface, including the accumulated amount and area of ​​the stain. When the accumulated amount reaches a set amount or the area of ​​the stain exceeds a set area, the stain warning module outputs a stain warning message, indicating that the photovoltaic surface needs to be cleaned and indicating the accumulated amount and area of ​​the stain. The cleaning decision module is connected to the cleaning decision module. After receiving the stain warning message, the cleaning decision module obtains meteorological information, photovoltaic power station usage information, and information on the type of stain on the photovoltaic surface based on the stain warning information. The meteorological information includes information such as precipitation, light intensity, temperature, and weather phenomena. The photovoltaic power station usage information includes historical photovoltaic usage information and predicted photovoltaic power generation power. The cleaning fluid composition corresponding to the determined different stain types is determined. Furthermore, the cleaning fluid information is determined based on the stain warning information and meteorological information. The spray information indicates the spray area, spray time, and amount of cleaning fluid to be sprayed by the spray module. A spray strategy is generated based on the cleaning fluid composition and spray information and output to the spray module. The spray module is connected to the cleaning decision module and extracts the appropriate cleaning fluid based on the cleaning fluid composition and sprays it onto the photovoltaic surface according to the spray information. The cleaning decision module generates a cleaning strategy based on contamination warning information, weather information, and photovoltaic power plant usage information. The cleaning strategy instructs the cleaning robot on the timing, duration, and cleaning path for the photovoltaic system. For example, the cleaning time can be increased in areas with high contamination accumulation, and the cleaning path can be replanned to clean these areas more frequently. For another example, if the photovoltaic power generation capacity is predicted to increase, the cleaning robot can be activated in advance to automatically perform cleaning operations, provided that the solar irradiance meets the required level. This ensures that the photovoltaic system remains free of contaminants during high power generation, thereby improving power generation efficiency. The cleaning robot is connected to the cleaning decision module and, after the spray module sprays the cleaning fluid, cleans the photovoltaic system according to the cleaning strategy transmitted by the cleaning decision module.

[0024] The intelligent cleaning device for stubborn stains in photovoltaic power stations provided by the present invention can adopt corresponding cleaning agents for different stains, and determine the spraying information of the spray module based on the stain warning information and meteorological information, so as to spray the cleaning liquid to the photovoltaic in a more targeted manner. At the same time, the cleaning strategy of the cleaning robot is generated based on the stain warning information, meteorological information and photovoltaic power station usage information, and the cleaning robot is controlled to clean the photovoltaic in a more purposeful manner based on the actual situation. It can realize mechanical and automatic cleaning of stubborn stains in photovoltaic power stations, improve the efficiency of cleaning stubborn stains on the surface of photovoltaic power station components, reduce labor costs, improve cleaning effects, and effectively improve the power generation efficiency and safety of photovoltaics.

[0025] Please refer to Figure 2In one possible implementation, the contamination warning module can also collect and analyze historical power consumption data, meteorological data, environmental data, plant geographic information, and parameters of components and other core equipment from the PV power plant monitoring system. This module then establishes a fitting model between quantitative indicators of stubborn contamination on PV module surfaces and the monitoring data. This model then estimates the accumulation of stubborn contamination on PV module surfaces in a natural environment and issues cleaning warnings based on string cleanliness. The cleaning decision module also incorporates an intelligent cleaning function that estimates the most economical cleaning time based on weather forecast information and plant cleaning costs (including grid-connected electricity prices and cleaning unit prices). This function then dynamically optimizes the cleaning time, providing a basis for determining the optimal time to clean stubborn contamination. For example, the module determines whether rain is expected based on the weather forecast. If not, the spray module and cleaning robot are triggered.

[0026] Furthermore, determining the composition of the cleaning liquid based on the stain type information includes: when the stain type is determined to be gypsum rain stain, determining that the cleaning liquid includes the following components: modified polyethoxylated alcohol, modified polyethoxylated alcohol auxiliary agent, alkylphenol polyoxyethylene ether, complexing agent, sodium bicarbonate, sodium alkylbenzene sulfonate, trisodium phosphate, sodium benzoate, urea, water-based solvent, surfactant and water.

[0027] Furthermore, the modified polyethoxylated alcohol auxiliary agent includes an ethoxylated fatty amine tallow amine dispersant; the water-based solvent includes methyl cellosolve; and the complexing agent includes one or more of EDTA, citric acid, malic acid, and lactic acid.

[0028] Furthermore, determining the cleaning liquid composition based on the stain type information includes: when the stain type is determined to be iron oxide stain, determining that the cleaning liquid includes the following components: organic acid, surfactant, penetrant, dispersant, corrosion inhibitor and water.

[0029] Furthermore, determining the cleaning liquid composition based on the stain type information includes: when the stain type is determined to be a biological stain, determining that the cleaning liquid includes the following components: a penetrant, an emulsifier, a dispersant, an oxygenated water active agent, a surfactant, and water.

[0030] Specifically, in the embodiments of the present invention, stains on the surface of photovoltaic modules typically include gypsum rain stains, iron oxide stains, and biological stains. The main components of gypsum rain stains are: water, flue gas, calcium carbonate, magnesium sulfate, and calcium sulfate. Cleaning solutions that can be used for gypsum rain stains include: modified polyethoxylated alcohol, modified polyethoxylated alcohol additives, alkylphenol polyoxyethylene ether, complexing agents, sodium bicarbonate, sodium alkylbenzene sulfonate, trisodium phosphate, sodium benzoate, urea, water-based solvents, surfactants, and water. Among them, the modified polyethoxylated alcohol additives include ethoxylated fatty amine tallow amine dispersants; the water-based solvents include methyl cellosolve; and the complexing agents include: one or more of EDTA, citric acid, malic acid, and lactic acid.

[0031] Iron oxide stains are rust, the main components of which are ferric oxide or ferrosoferric oxide. The cleaning solutions that can be used for iron oxide stains include: organic acids, surfactants, penetrants, dispersants, corrosion inhibitors and water.

[0032] Biological stains primarily consist of bird droppings and other contaminants left on photovoltaic panels. Their main components include water, nitrogen, phosphorus, potassium, trace elements, and organic matter. Organic matter is the most important component, comprising over 50%. When bird droppings dry, they readily form phosphates, primarily magnesium ammonium phosphate. Different types of bird droppings, such as poultry droppings and seabird droppings, vary in composition and content depending on their source and geographical environment. Cleaning solutions suitable for biological stains include penetrants, emulsifiers, dispersants, oxygenated water-active agents, surfactants, and water.

[0033] In this embodiment, the surfactants include Class A and Class B. Class A generally includes phosphorus-free sodium ethylenediamine di-o-phenylacetate, primary alkyl sodium sulfonate, and alkyl glycoside; Class B generally includes potassium hydroxide, sodium hydroxide, sodium metasilicate, and sodium carbonate. Those skilled in the art can select according to actual conditions.

[0034] The intelligent cleaning device for stubborn stains in photovoltaic power stations provided by the present invention can use corresponding cleaning agents for different stains, improve cleaning efficiency, and enhance cleaning effects. The cleaning liquid meets environmental protection requirements and will not cause pollution to the environment. Since the cleaning efficiency is improved, the waste of water resources and energy is reduced, thereby achieving environmental protection and energy-saving effects.

[0035] Furthermore, the cleaning robot includes: a walking mechanism, a roller and a roller brush; the walking mechanism can walk on the photovoltaic surface; the roller brush is set on the walking mechanism through the roller, and when the walking mechanism walks on the photovoltaic surface, the roller brush can roll with the roller as the axis to clean the stains on the photovoltaic surface.

[0036] Furthermore, brush filaments are evenly distributed on the surface of the roller brush, and the brush filaments are made of polybutylene terephthalate material.

[0037] Furthermore, the length of the brush filament is between 60 mm and 63 mm.

[0038] Furthermore, the diameter of the brush filaments is between 0.3 mm and 0.5 mm.

[0039] Specifically, in an embodiment of the present invention, a dry-hanging cleaning robot is employed. The cleaning robot comprises a walking mechanism, a roller, and a roller brush. The walking mechanism is capable of traveling on the photovoltaic surface. As long as the weight of the cleaning robot meets the surface stress requirements of the photovoltaic modules, the walking mechanism can travel directly on the photovoltaic module surface. If the weight of the cleaning robot exceeds the surface stress requirements of the photovoltaic modules, an additional steel structure supporting the walking wheels is required. The roller brush is mounted on the walking mechanism and rolls around the roller. As the walking mechanism travels on the photovoltaic surface, the roller brush rolls around the roller, driven by the walking mechanism to clean stains from the photovoltaic surface.

[0040] Brush filaments are evenly distributed on the surface of the roller brush. In this embodiment, the brush filaments of the robot's roller brush are redesigned. The brush filaments are made of polybutylene terephthalate (PBT) material. The length of the brush filaments is between 60mm-63mm, and the diameter of the brush filaments is between 0.3mm-0.5mm. In this embodiment, the corresponding brush filament diameter is selected based on the severity of the stubborn stains on the surface of the photovoltaic module. The more serious the stubborn stains on the surface, the larger the brush filament diameter is selected.

[0041] A second aspect of the present invention provides an intelligent cleaning system for stubborn stains in a photovoltaic power station, wherein the intelligent cleaning system for stubborn stains in a photovoltaic power station comprises the intelligent cleaning device for stubborn stains in a photovoltaic power station described above.

[0042] The preferred embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the present invention is not limited to the specific details in the above embodiments. Within the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the scope of protection of the present invention.

[0043] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any appropriate manner without contradiction. In order to avoid unnecessary repetition, the present invention will not further describe various possible combinations.

[0044] In addition, the various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the present invention, they should also be regarded as the contents disclosed by the present invention.

Claims

1. An intelligent cleaning device for stubborn stains in photovoltaic power stations, characterized in that: The intelligent cleaning device for stubborn stains in a photovoltaic power station comprises: A stain warning module, used to monitor the accumulated stain data of the photovoltaic surface, and output stain warning information based on the accumulated stain data; A cleaning decision module is connected to the stain warning module and is used to: obtain meteorological information, photovoltaic power station usage information and photovoltaic surface stain type information based on the stain warning information sent from the stain warning module; determine the cleaning liquid composition based on the stain type information; determine the spraying information based on the stain warning information and the meteorological information; determine the spraying strategy based on the cleaning liquid composition and the spraying information; determine the cleaning strategy based on the stain warning information, the meteorological information and photovoltaic power station usage information; a spray module, connected to the cleaning decision module, for spraying cleaning liquid onto the photovoltaic surface based on the spray strategy sent from the cleaning decision module; A cleaning robot is connected to the cleaning decision module and is used to perform cleaning operations on the photovoltaic system based on the cleaning strategy sent from the cleaning decision module.

2. The intelligent cleaning device for stubborn stains in photovoltaic power plants according to claim 1, characterized in that: The determining of the cleaning liquid composition based on the stain type information includes: When it is determined that the type of stain is gypsum rain stain, the cleaning solution is determined to include the following ingredients: modified polyethoxylated alcohol, modified polyethoxylated alcohol auxiliary agent, alkylphenol polyoxyethylene ether, complexing agent, sodium bicarbonate, sodium alkylbenzene sulfonate, trisodium phosphate, sodium benzoate, urea, water-based solvent, surfactant and water.

3. The intelligent cleaning device for stubborn stains in photovoltaic power plants according to claim 2, characterized in that: The modified polyethoxylated alcohol auxiliary agent includes ethoxylated fatty amine and tallow amine dispersant; the water-based solvent includes methyl cellosolve; and the complexing agent includes one or more of EDTA, citric acid, malic acid and lactic acid.

4. The intelligent cleaning device for stubborn stains in photovoltaic power plants according to claim 1, characterized in that: The determining of the cleaning liquid composition based on the stain type information includes: When it is determined that the type of the stain is iron oxide stain, it is determined that the cleaning solution includes the following components: organic acid, surfactant, penetrant, dispersant, corrosion inhibitor and water.

5. The intelligent cleaning device for stubborn stains in photovoltaic power stations according to claim 1, characterized in that: The determining of the cleaning liquid composition based on the stain type information includes: When it is determined that the type of the stain is a biological stain, it is determined that the cleaning solution includes the following components: a penetrant, an emulsifier, a dispersant, an oxygen-containing water-active agent, a surfactant and water.

6. The intelligent cleaning device for stubborn stains in photovoltaic power stations according to claim 1, characterized in that: The cleaning robot comprises: a walking mechanism, a roller and a roller brush; The walking mechanism is capable of walking on the photovoltaic surface; The roller brush is arranged on the walking mechanism by rolling on the roller shaft. When the walking mechanism walks on the photovoltaic surface, the roller brush can roll with the roller shaft as the axis to clean the stains on the photovoltaic surface.

7. The intelligent cleaning device for stubborn stains in photovoltaic power stations according to claim 6, characterized in that: The surface of the roller brush is evenly provided with brush filaments, which are made of polybutylene terephthalate material.

8. The intelligent cleaning device for stubborn stains in photovoltaic power plants according to claim 7, characterized in that: The length of the brush filament is between 60 mm and 63 mm.

9. The intelligent cleaning device for stubborn stains in photovoltaic power plants according to claim 7, characterized in that: The diameter of the brush filament is between 0.3 mm and 0.5 mm.

10. An intelligent cleaning system for stubborn stains in photovoltaic power stations, characterized in that: The intelligent cleaning system for stubborn stains in a photovoltaic power station comprises the intelligent cleaning device for stubborn stains in a photovoltaic power station according to any one of claims 1 to 9.

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