7846results about "Photovoltaics" patented technology

The invention provides a multifunctional integrated cleaning robot for a photovoltaic module of a power station, which belongs to the technical field of photovoltaic module cleaning and comprises a control chip, a robot body device, an automatic cleaning device, a dust collection device, a water spraying system device, a solar charging device, an intelligent navigation device, an environment monitoring device, a communication interface device and a power management device. An intelligent cleaning control module is arranged in the control chip. The method comprises the following steps: constructing a three-dimensional map through environment perception; evaluating the pollution state of the photovoltaic module by using a sensor to generate a thermodynamic diagram; a double-layer optimization model is adopted for path planning and resource allocation, an upper layer adopts an improved ant colony algorithm to take charge of a global path, and a lower layer optimizes cleaning parameters based on a particle swarm algorithm; cleaning operation is executed, and real-time monitoring is carried out; evaluating the cleaning effect; water resource and energy intelligent management is carried out; multi-machine collaboration and task allocation are realized; processing an abnormal condition; the cleaning strategy is continuously optimized through machine learning, and efficient and accurate photovoltaic module cleaning is achieved.

The invention relates to the technical field of power electronics, in particular to a photovoltaic off-grid inverter control method and system, and the method comprises the following steps: applying a test signal to identify an output interaction characteristic parameter, predicting the power generation power through combining with weather and attenuation, calculating the power fluctuation, and adjusting a current control parameter set. And calculating voltage and reactive power compensation parameters to generate an inverter control instruction, and combining a temperature load prediction trend to adjust a power allowable value to obtain a predictive power calibration coefficient. According to the invention, by analyzing the output interaction characteristics, enhancing the perception capability of the inverter to the actual operation environment, combining with the prediction of the photovoltaic power generation amount, realizing the prediction and influence evaluation of the power fluctuation, improving the adaptive adjustment capability of the current control parameters, improving the output voltage and reactive power control precision by utilizing the interaction characteristics, and optimizing the electric energy quality; and through thermal management of multi-point temperature and load prediction, the operation safety is improved, the service life of equipment is prolonged, and the operation performance of the photovoltaic off-grid system in a complex environment is improved.

The invention discloses a solar photovoltaic panel cleaning method and device based on a multi-mode cleaning technology, which can plan a traversal path according to parameters of a photovoltaic panel, primarily remove dust by using a wind blowing and ultrasonic vibration form, plan an energy-saving cleaning path for still existing cleaning points, and improve the cleaning efficiency of the photovoltaic panel. And secondary cleaning is conducted along the cleaning path, dust is adsorbed and cleaned through an electric field generated by the electrode plate, meanwhile, the output parameter set is trained and optimized through a trained deep learning model through input parameters extracted in real time, optimal cleaning parameters are obtained, and intelligent cleaning is achieved.

The invention relates to the related technical field of clean energy system optimization, and discloses a space-time Transform-based photovoltaic array shadow shielding optimization method and system, and a space-time Transform-based shielding modeling method, which can capture time change and space correlation at the same time, improve the prediction capability of short-time dynamic shielding (such as cloud layer change), and improve the prediction efficiency. The occlusion prediction is more real-time and accurate; by combining solar radiation prediction and power loss quantification methods, the influence of different shielding conditions on the power generation capacity of the photovoltaic module can be accurately calculated, and data support is provided for system optimization; meanwhile, through an intelligent optimization scheduling strategy, the working mode of the photovoltaic module is adaptively adjusted, including module angle optimization, MPPT dynamic adjustment and energy storage optimization scheduling, it is ensured that the photovoltaic system can still maintain efficient power generation in a complex illumination environment, and the long-term stability and benefits of the system are further improved.

The invention provides a full-coverage cleaning modular control method and system for a photovoltaic cleaning robot. According to the method, a photovoltaic panel three-dimensional terrain model is constructed by collecting laser ranging, photovoltaic panel surface temperature distribution, environment airflow and position relation data; and generating an obstacle distribution map based on the model, and dynamically analyzing gap width and attachment height parameters of the cleaning area. Therefore, the bending angle and the telescopic amplitude of a connecting part of the cleaning module are adjusted in real time, and robot pose information is synchronously updated. And in combination with the position data, the obstacle map and the pose of the whole robot, an uncleaned area identifier and a dynamic coverage path are generated, and information is shared through a wireless network. The system dynamically distributes working areas and advancing directions of the multiple robots, and efficient cooperative full-coverage cleaning of the photovoltaic array is achieved. According to the technical scheme provided by the invention, through multi-source environment perception and dynamic pose adjustment, intelligent path cooperation and full-coverage operation of multiple cleaning robots are realized.

The invention discloses a multispectral pollution analysis method and system for a photovoltaic cleaning unmanned aerial vehicle, and belongs to the technical field of spectrum detection.The multispectral pollution analysis method comprises the steps that a multispectral image is obtained, dark current-radiation-atmosphere-shadow full-link preprocessing is carried out, multiband weighted threshold segmentation and morphological post-processing are constructed, and a pollution area is extracted; establishing a self-learning pollution spectral feature library, and identifying pollution types by using cosine similarity; generating a pollution degree distribution diagram in combination with the pollution type-efficiency attenuation mapping table; and when the overall efficiency loss exceeds a preset value, planning a three-dimensional track based on a cluster priority score and an ant colony-genetic fusion algorithm, and returning an image to perform closed-loop verification and complementary cleaning after the unmanned aerial vehicle performs cleaning. According to the invention, the pollution identification precision, the efficiency evaluation accuracy and the cleaning intelligence level are significantly improved, and the method can be widely applied to unattended operation and maintenance of the photovoltaic power station.

The invention relates to the technical field of photovoltaic cleaning control, and discloses a spraying cleaning control method of a photovoltaic cleaning unmanned aerial vehicle. The method comprises the following steps: receiving photovoltaic panel surface state data and environmental parameters, comparing dirt grade standards to obtain dirt distribution characteristics and stubborn stain positions, and determining initial spraying parameters through a self-adaptive control algorithm in combination with the environmental parameters; after the spraying executing mechanism is driven to conduct preliminary cleaning, an image collecting device is used for obtaining surface image data, and a deviation value is calculated by comparing a cleanliness threshold value; and in combination with flight attitude data of the unmanned aerial vehicle, a fuzzy decision system is adopted to dynamically adjust initial spraying parameters to generate a real-time control instruction, an execution mechanism is controlled to perform fine cleaning until surface image data accords with a cleanliness threshold, and a final scheme is generated. According to the method, through real-time feedback and dynamic adjustment, spraying parameters are made to adapt to different dirt states and environment conditions, targeted cleaning is achieved, and the intelligence and accuracy of photovoltaic panel cleaning are improved.

The invention relates to a cleaning operation and maintenance method, device and equipment of a photovoltaic module and a readable storage medium. The method comprises the following steps: acquiring a visible light image and an infrared image of a photovoltaic module, and acquiring working voltages and working currents of the photovoltaic module at a plurality of time points in a preset time period; constructing a current-voltage curve based on the working voltage and the working current, and determining a slope difference of the plurality of time points according to the current-voltage curve and a reference curve; identifying a dust accumulation area in the visible light image, and determining a dust shielding index based on the dust accumulation area; identifying a high-temperature area in the infrared image, and determining a hot spot index based on the high-temperature area; and determining a start-stop strategy of the photovoltaic cleaning robot according to the slope difference, the shielding index and the hot spot index of the multiple time points, and controlling the photovoltaic cleaning robot to clean the photovoltaic module according to the start-stop strategy. By adopting the method, the photovoltaic cleaning operation and maintenance efficiency can be improved.

The invention discloses a morning orbit computing power satellite, and belongs to the field of aerospace technology and space infrastructure. The satellite comprises a satellite platform and a computing force load arranged on the satellite platform. The satellite platform is provided with a condensation type energy system and a space pump drive fluid loop system. The condensation type energy system adopts an expandable condensation type solar cell array to generate power, switches a power supply mode according to an illumination period and an earth shadow period of a morning and night orbit, and supplies power to computing force loads and platform equipment. The space pump drive fluid loop system adopts an expandable flexible radiation cooling plate for heat dissipation, heat dissipation is conducted on computing force loads through a fluid loop, and a heating assembly is arranged to prevent a working medium from being frozen under the low-temperature working condition. Through the expandable structure and the orbit environment adaptability design, continuous energy supply and effective heat management are provided for the computing power load in the morning and night orbit environment, and high-power-consumption computing power load in-orbit stable operation is supported.

The invention provides a photovoltaic power station cleaning robot path planning method, medium and system, and belongs to the technical field of photovoltaic power station operation and maintaining.The photovoltaic power station cleaning robot path planning method includes the steps that firstly, a photovoltaic panel grid division model is established, and stain distribution information is obtained through the image processing technology to construct a stain distribution matrix; secondly, calculating a cleaning water demand matrix based on stain distribution, and meanwhile, considering an influence relationship among vertical column grid units; determining the cleaning duration by combining the efficiency of the cleaning device; constructing a robot energy consumption model; calculating an optimal cleaning path by applying a resource optimization distribution function; integrating the environmental parameters and inputting the environmental parameters into a photovoltaic cleaning neural network model to predict the actual cleaning difficulty; a cleaning strategy is dynamically adjusted accordingly; and executing the final path and recording data to update the related model. According to the method, through real-time sensing and analysis of the stain distribution characteristics, intelligence of path planning of the cleaning robot is realized, and the technical problem that the cleaning robot cannot perform intelligent path planning according to the surface stain distribution characteristics of the photovoltaic panel is solved.

The invention discloses a hybrid hydrogen production system coupled with photovoltaic renewable energy and an optimal configuration method, and relates to the technical field of new energy utilization and energy storage control, and the hybrid hydrogen production system comprises a photovoltaic power generation unit, an alkaline water electrolytic tank unit, a proton exchange membrane electrolytic tank unit, a hydrogen storage unit, a control unit and the like. Photovoltaic electric energy is directly supplied to the two types of electrolytic cell stacks through the direct current bus, a traditional DC-DC power converter is omitted, and loss in the energy transmission process is reduced; and through a dynamic electrolytic cell switching algorithm configured by the control unit, the input proportion and the number of operation units of the two stacks are changed and adjusted in real time, and the quick response capability and the long-term stability are both considered. The system can stably produce hydrogen under the condition of renewable energy fluctuation, can dynamically adapt to input power change, can realize maximum power point tracking control on the premise of not using extra power conversion equipment, and remarkably reduces initial investment cost and operation energy consumption while ensuring hydrogen production efficiency.

The invention relates to an intelligent photovoltaic cleaning method for air-ground cooperation of an unmanned aerial vehicle and a cleaning robot, and belongs to the technical field of photovoltaic cleaning. The method comprises the steps that the real-time pose of the unmanned aerial vehicle is determined in a visual positioning and laser positioning fusion mode; establishing a wind speed estimation model by taking the wind speed as a predictable state quantity; solving an optimal control sequence of the unmanned aerial vehicle in a prediction time domain based on a wind speed estimation model so as to compensate wind disturbance in advance; the track of the unmanned aerial vehicle is corrected to achieve accurate butt joint of the unmanned aerial vehicle and the cleaning robot; and an intelligent decision-making method is used for realizing the timely transfer of the cleaning robot by the unmanned aerial vehicle and the cleaning work of the photovoltaic panel of the cleaning robot. Through centralized control of the central platform, a single unmanned aerial vehicle assists multiple cleaning robots, dynamic task allocation and path planning are achieved, and the problems that desert photovoltaic cleaning efficiency is low and the coverage range is limited are solved.

The invention provides an environment-considered photovoltaic panel cleaning scheme determination method, and belongs to the technical field of photovoltaic panel cleaning.The method comprises the steps that firstly, real-time weather data and prediction data are obtained, and an environment stain correlation model is established; a multispectral camera is adopted to identify the types of stains on the surface of the photovoltaic panel and calculate a distribution map; calculating a cleaning index by combining the generating capacity data and the solar irradiation intensity, and determining a cleaning priority; a weather adaptability scoring system is constructed, and a robot operation environment threshold value is set; dividing power generation time periods according to the sunlight intensity and calculating an optimal cleaning time window; cleaning schemes are matched according to different stain types, and parameters are adjusted according to environmental conditions; calling a stain cleaning efficiency optimization function to carry out multi-objective optimization; and finally, generating an optimal cleaning path and parameter configuration by utilizing the photovoltaic cleaning planning network model. The technical problem that a photovoltaic panel cleaning scheme cannot be adaptively optimized according to complex and changeable environmental factors is solved.

A cable hanger assembly comprises a frame including a base that comprises a first base surface and a second base surface separated by a channel open at a proximate channel end and closed at a distal channel end, where the channel is formed by a first channel support extending from the proximate end and a second channel support extending from the proximate end; a first support extending from a distal end of the first base surface; a second support extending from a distal end of the second base surface. A hanger support extends along the first base surface, the first channel support, the second channel support and the second base surface and attaches to the frame, and includes a radiused hanger surface at a distal end of the channel. The first channel support, the first base surface and the first support form a first cable receptacle area.

The invention discloses a photovoltaic cleaning robot operation scheduling method and system based on environment prediction, and belongs to the technical field of photovoltaic power station intelligent operation and maintenance and robots, and the method comprises the steps: obtaining weather forecast data, photovoltaic panel real-time dust accumulation data and historical power generation efficiency attenuation data, and generating environment prediction parameters; generating a dynamic weight value based on the environment prediction parameters and a preset power generation loss threshold value, and judging the sweeping emergency degree of each photovoltaic panel area; distributing an operation priority according to the cleaning emergency degree, and generating an initial cleaning task sequence; and a multi-robot cooperative path planning result is generated by combining the photovoltaic power station topological structure and the real-time position data of the robots. According to the method, the environment prediction technology and the dynamic scheduling strategy are combined, the cleaning task can be adaptively adjusted according to weather changes and dust accumulation conditions, the robot operation path is optimized, and the power generation efficiency of a photovoltaic power station and the utilization rate of robot resources are remarkably improved.

The invention discloses a photovoltaic panel self-adaptive cleaning system and method based on sand and dust optical thickness monitoring. The photovoltaic panel self-adaptive cleaning system comprises a sand and dust optical thickness monitoring module, a data processing and control module, a cleaning execution module, a power supply module and a remote monitoring module. The sand and dust optical thickness monitoring module is used for monitoring the sand and dust optical thickness AOD of the environment where the photovoltaic panel is located in real time, calculating the AOD by measuring the light intensity attenuation of a specific wavelength, and correcting the atmospheric Rayleigh scattering optical thickness and the gas absorption optical thickness at the same time; the data processing and control module is in communication connection with the sand and dust optical thickness monitoring module and used for receiving the AOD data and comparing the AOD data with a preset dust retention threshold value, and when the AOD value is larger than or equal to the threshold value, a cleaning instruction is generated; and the cleaning execution module is used for receiving the cleaning instruction and executing cleaning operation. Intelligent and self-adaptive control of photovoltaic panel accumulated dust cleaning is achieved, the cleaning opportunity can be adjusted in real time according to the actual sand and dust optical thickness, and the cleaning pertinence and effectiveness are improved.

The invention provides a photovoltaic power generation and air water taking irrigation system, comprising: a photovoltaic power generation module for generating electric energy by using light energy; the gel adsorption module is connected with the photovoltaic power generation module and is used for adsorbing water vapor in air by using gel and driving the gel to desorb and release the water vapor by using waste heat generated by the photovoltaic power generation module; the condensation water collection module is connected with the gel adsorption module and is used for condensing the water vapor to obtain condensed water; the crop irrigation module is connected with the condensation water collection module and is used for irrigating crops by utilizing the collected condensate water; the soil detection module is connected with the crop irrigation module and used for controlling irrigation according to the detected crop root system soil humidity, collaborative production of water, electricity and crops can be achieved under the condition that no external input exists in the island reef environment, and the problems that in the island reef environment, fresh water is in shortage, electricity is insufficient, and self-sufficiency of agricultural production is difficult are solved.

Disclosed is a negative pressure suction-based fixing device comprising a housing, a suction and holding member, a negative pressure creating assembly and a sealing member. The housing has an accommodating cavity thereinside. The suction and holding member has an abutting and holding surface recessed to form a suction cavity communicated with the accommodating cavity. The abutting and holding surface has a mounting structure connected to the sealing member, so that the sealing member is arranged on the abutting and holding surface for abutting against the suction surface. The sealing member can be elastically deformed to fit with the suction surface so as form an enclosed space together with the cooperation of the suction cavity and the suction surface. In this way, it is difficult for the negative pressure suction-based fixing device to fall off from a rough surface.

An intelligent system for a photovoltaic cleaning robot includes: a control terminal, an intelligent control center, a stain detection database, and an intelligent device; where the intelligent device includes a camera shooting module, a motion flight module, and a cleaning module; the intelligent device and the intelligent control center are integrated on the photovoltaic cleaning robot; the intelligent control center and the control terminal are connected by a wireless communication; the intelligent control center is connected to the stain detection database through the wireless communication. In the intelligent system for the photovoltaic cleaning robot, even in a distributed photovoltaic power station with a harsh environment and terrain, it can also do the unmanned intelligent cleaning operation and maintenance work of the photovoltaic plate, where the operator only needs to operate the control terminal according to the attenuation of power generation of the power station to issue simple instructions.

The invention provides an anti-falling detection unit, a photovoltaic panel cleaning robot and an anti-falling detection method.The anti-falling detection unit comprises a substrate, an ultrasonic sensor and at least one laser sensor, the ultrasonic sensor is arranged on the substrate, and each laser sensor is arranged on the substrate; the at least one laser sensor and the ultrasonic sensor are arranged at intervals in the first direction. According to the anti-falling detection unit, the ultrasonic sensor and the laser sensor are used at the same time, the ultrasonic detection mode and the light wave detection mode are combined, comprehensive detection of the edge and the gap of the photovoltaic panel is achieved, the accuracy and the reliability of signals are improved, the problem of false alarm possibly caused by a single sensor is effectively avoided, and the detection efficiency is improved. The photovoltaic panel cleaning robot is simple in structure and convenient to operate, work interruption caused by signal abnormity can be reduced, the photovoltaic panel cleaning robot can be prevented from falling off and can cross gaps between different photovoltaic panels to complete cleaning work of the multiple photovoltaic panels, and the work efficiency of the photovoltaic panel cleaning robot is improved.

The invention discloses a two-dimensional single-unfolding hundred-square-meter-level flexible solar wing which comprises a flexible array surface capable of infinitely transversely and / or longitudinally expanding based on a paper folding structure, an auxiliary unfolding mechanism for assisting the unfolding of the flexible array surface, and an unfolding driving mechanism for driving the unfolding of the whole wing, the flexible array surface is formed by connecting first folding and unfolding units located at the two ends and a second folding and unfolding unit located in the middle through piano type hinges, and the whole wing can be unfolded in the transverse direction and the longitudinal direction from the folded state through single-time unfolding. The two types of folding and unfolding units are double-vertex seven-fold paper folding units, and the flexible array plane has a single degree of freedom; the auxiliary unfolding mechanism is connected with the first type of folding and unfolding units and is connected with the unfolding driving mechanism; the motion trail of the tail end of the auxiliary unfolding mechanism in the unfolding process is consistent with the motion trail of the flexible plates on the two sides of the first folding and unfolding unit. According to the invention, a paper folding configuration is applied to flexible array surface design, two-dimensional single-time unfolding of the whole wing is realized, and the problem of insufficient storage ratio of a traditional one-dimensional unfolding configuration solar wing is solved.

The invention provides an airborne self-adaptive photovoltaic cleaning device and a cleaning pressure adjusting method thereof, and the device comprises a cleaning load module which comprises a water tank, a high-pressure spray head, a spray rod and an air pump; the laser locator is used for emitting laser to locate the cleaning position; the camera is arranged on the unmanned aerial vehicle; the airborne edge control terminal is used for collecting flight state data of the unmanned aerial vehicle and operation data of the cleaning load; the control circuit module is used for adjusting the water outlet pressure, the water outlet mode and the nozzle orientation; the cleaning management platform is used for monitoring and early warning the dust accumulation state of the photovoltaic module; the photovoltaic module dust deposition early warning system is used for providing dust deposition quantitative data; by integrating the cleaning management platform and the cleaning device, comprehensive automation and intelligentization of photovoltaic module cleaning work are achieved, compared with a traditional manual cleaning mode, the cleaning efficiency is greatly improved, dependence on manpower is reduced, and the cleaning device is particularly suitable for operation and maintenance cleaning work of large-scale and complex-terrain photovoltaic power stations.

The invention discloses a new energy building integration energy-saving design analysis method, and relates to the technical field of new energy building integration, and the method comprises the following steps: carrying out the time sequence alignment and unit normalization processing of collected heat flow data, temperature rise data and power output data; according to the heat conduction characteristic of the heat conduction structure and the thermal inertia parameters of the building enclosure structure, a heat flux track and a thermal response profile with a unified thermal resistance reference axis are constructed; and based on the heat flux track and the thermal response profile, extracting a reverse heat flux strength parameter and a heat flux continuous influence duration parameter, and combining the parameters with a temperature control target and a heat conduction structure attribute set in the building to construct a reverse heat conduction interference atlas for judging the heat conduction interference degree of the cold load in the building. The problem of cold load misjudgment caused by the fact that photovoltaic heat is transmitted through a high-heat-conduction structure is solved, and cold and heat conduction accurate recognition and energy consumption dynamic regulation and control are achieved.

The invention provides a preparation method of a photovoltaic laminated part and a photovoltaic module. The preparation method comprises the following steps: providing a plurality of battery pieces and solder strips, and coating solder on bonding pads of the battery pieces; corresponding welding strips are fixed on the bonding pads to be electrically connected, so that the plurality of battery pieces form a battery string through the welding strips; laminating the cover plate, the front packaging adhesive film, the battery string, the back packaging adhesive film and the back plate in sequence to obtain a laminated part; heating the laminated part at a first preset temperature to form a combined part; heating the assembly at a second preset temperature to form a laminated part; the first preset temperature is higher than the melting point of the front packaging adhesive film and the back packaging adhesive film, but is lower than the melting point of the welding flux on the battery piece and the welding flux on the welding strip; the second preset temperature is higher than the melting point of the solder on the battery piece and the solder on the solder strip. According to the preparation method, the problem of battery piece warping in a high-temperature welding process and the problem of poor welding reliability in a low-temperature welding process are avoided at the same time.

The invention relates to a large-scale air water trapping system based on MOFs, which comprises an electric power storage assembly, a solar cell assembly and an MOFs air water trapping assembly, and is characterized in that the solar cell assembly comprises a solar cell panel and a liquid cooling pipeline; the solar cell panel and the electric power storage assembly are electrically connected with all electric appliances of the system. The MOFs air water trapping assembly comprises: an air suction module; the MOFs water adsorption and desorption module is communicated with the air suction module; the heat exchange module comprises a liquid heat pipeline which is communicated with the liquid cooling pipeline to form a liquid circulation loop and is in heat exchange connection with the MOFs water adsorption and desorption module, and heat exchange liquid is arranged in the liquid circulation loop; the condensation module is communicated with the MOFs water adsorption and desorption module; the circulation module is communicated with the MOFs water adsorption and desorption module and the condensation module to form a gas circulation loop; the water storage module is communicated with the condensation module; the control module is in communication connection with the air suction module, the heat exchange module, the condensation module and the circulation module.

The invention relates to the field of photovoltaic panel cleaning, in particular to an array type photovoltaic equipment intelligent cleaning robot which comprises a robot body, a walking mechanism and a cleaning mechanism, the walking mechanism is arranged at the bottom of the robot body, and the walking mechanism is used for driving equipment to move on the surface of an array type photovoltaic panel. The cleaning mechanism comprises a cleaning execution assembly and an adjusting mechanism. The adjusting mechanism is used for connecting the robot body with the cleaning execution assembly, and the adjusting mechanism can dynamically adjust the attaching state of the cleaning execution assembly and the surface of the photovoltaic panel according to the inclination angle of the photovoltaic panel; and the cleaning execution assembly is used for cleaning the surface of the photovoltaic panel and can clean stubborn substances. According to the photovoltaic panel cleaning device, stubborn stains on the surface of a photovoltaic panel can be cleaned, dust mixed in cleaning liquid can be reduced, the cleaning workload can be effectively reduced, the stains attached to the main cleaning rolling brush can be effectively reduced, and the cleaning effect of the main cleaning rolling brush can be effectively guaranteed.

The invention relates to the technical field of photovoltaic module frames, in particular to a self-cleaning weather-proof aluminum alloy photovoltaic module frame and a preparation method thereof, and aims to improve the self-cleaning capacity of the photovoltaic module frame, a layer of self-cleaning coating is prepared on the basis of an aluminum alloy frame body. The boric acid ester chain extender containing the fluorine element and the fluorine-containing polyol are added, and the fluorine element has extremely strong electronegativity, so that the water resistance of the resin can be effectively improved, the surface energy of the material is reduced, the surface friction is reduced, the friction resistance is improved, the adsorption of dust on the surface of a metal frame can be reduced, and the material is kept clean for a long time; a reversible covalent bond boric acid ester bond is further introduced into the boric acid ester chain extender, so that the purpose of self-repairing is achieved, hydrophobic nano-silica is further added into the coating, the friction resistance and hydrophobic capacity of the aluminum alloy photovoltaic module frame are further improved, and the service life of the aluminum alloy photovoltaic module frame is prolonged. And the durability of the material exposed in an external atmospheric environment is improved.

The present invention relates to the field of photovoltaic panel cleaning devices, and discloses a photovoltaic panel cleaning robot and a method for straddling columns based on the robot; it includes a vehicle body, a cleaning device and a traveling device installed on the vehicle body; the cleaning device includes a brush roller frame, a brush roller driving structure and a brush roller. A cantilever is arranged on the brush roller frame, and the cantilever is rotatably connected to the vehicle body. The brush roller and the brush roller driving structure are installed on the brush roller frame, and the brush roller driving structure is used to drive the brush roller to rotate. Guide wheels are installed on the front side of the brush roller frame; the cleaning device further includes a cleaning lifting mechanism, and the cleaning lifting mechanism is installed on the vehicle body and is used to drive the cantilever to swing up and down relative to the vehicle body; the cleaning lifting mechanism drives the cantilever to swing downward, so that the brush roller frame descends. Relatively, the front end of the traveling device of the photovoltaic panel cleaning robot is pulled up. Under the guiding action of the guide wheels, by controlling the traveling device to drive the whole vehicle body to move forward step by step, it can gradually straddle to the adjacent higher photovoltaic panel, that is, it can be applicable to the situation of straddling with a large height difference.

The invention provides an automatic solar panel cleaning device for a large photovoltaic power plant. The automatic solar panel cleaning device comprises a walking mechanism, a cable driving mechanism, a rolling brush cleaning mechanism and a panel side limiting mechanism. The walking mechanism is installed on a track above the top edge of the photovoltaic panel and moves left and right along the track. The rope arranging mechanism is connected with the walking mechanism through a shell, comprises two independent cable arranging devices, is driven by two motors and is used for winding and arranging a steel wire rope so as to keep stable operation of the cleaning mechanism. The cleaning mechanism is hung below the walking mechanism through two cables and vertically moves along the surface of the photovoltaic panel to achieve cleaning. The plate side limiting mechanisms are symmetrically installed on the cleaning mechanism, can be tightly attached to the side vertical face of the photovoltaic plate or the edge of the frame and are used for assisting the cleaning mechanism in vertically moving on the plate face. The device has the advantages of being simple in structure, high in adaptability, stable in operation and high in cleaning efficiency, and is suitable for efficient and automatic cleaning of large-area solar panels.

A cleaning system and a method suitable for an ultra-large-scale photovoltaic power station are provided; including a control terminal, an intelligent control center, and a large-load unmanned helicopter, 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, 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 present invention adopts the above system and method, the use of large-load unmanned helicopters is wide, which is more suitable for ultra-large-scale photovoltaic power stations, the high-pressure gas-liquid two-phase flow cleaning device is mounted on the large-load unmanned helicopter, which can carry out precise cleaning operations along the arrangement of photovoltaic panels, and spray high-pressure water and gas to remove dust and dirt.