9116results 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 embodiments described herein involve electrochemical cells that have a heating element integrated into the electrochemical cell. In some aspects, an electrochemical cell comprises an anode current collector, an anode material disposed on the anode current collector, a cathode current collector, a cathode material disposed on a first side of the cathode current collector, a separator disposed between the anode material and the cathode material, and a heating element disposed on a second side of the cathode current collector, the second side opposite the first side. The heating element may include an electrically conductive material and a conductive material and disposed in an insulative material.

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.

A wire clamp may include a bottom piece having: a first base portion defining a first aperture, an at least partially elliptical barrier extending from the first base portion about the first aperture, and a plurality of legs extending from sides of the first base portion; a top piece having: a second base portion, a protrusion extending from the second base portion, the protrusion defining a second aperture, and a plurality of legs extending from sides of the second base portion; and a fastener. The first aperture and the second aperture may be configured to align and receive the fastener therethrough. A first side of the partially elliptical barrier and a first portion of the plurality of legs may define a first wire channel, and a second side of the partially elliptical barrier and a second portion of the plurality of legs may define a second wire channel.

A twist-lock clamp to attach a solar module to a rail system includes a spring between a top clamp and a t-nut, with features on the spring and top clamp to restrict rotation relative to each other. The t-nut includes features allowing rotation of about 90 degrees when the t-nut is inserted in a rail, but restrict rotation beyond about 90 degrees. The spring serves to hold the top clamp and t-nut apart while allowing the twist-lock clamp to resist sliding in the rail during installation.

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 discloses a photovoltaic inverter topology circuit and a control method thereof. The photovoltaic inverter topology circuit comprises a plurality of operational amplifiers, a plurality of MOS tubes, a plurality of resistors, a plurality of connectors, a plurality of capacitors and a plurality of diodes, the in-phase end of an operational amplifier U1 in the operational amplifiers is connected with one end of a resistor R2, the source electrode of an MOS tube Q2, the anti-phase end of the operational amplifier U1 in the operational amplifiers is connected with one end of a resistor R3, the source electrode of an MOS tube Q1, and the output end of the operational amplifier U1 in the operational amplifiers is connected with the other end of the resistor R3; the in-phase end of the operational amplifier U5 is connected with the cathode of the diode D4, the anti-phase end is connected with the in-phase end of the operational amplifier U6, the cathode of the diode D2 and one end of the capacitor C1, and the output end is connected with the anode of the diode D2; the inverting end of the operational amplifier U6 is connected with the output end and one end of the resistor R1; the grid electrode of the MOS tube Q1 is connected with the grid electrode of the MOS tube Q2, and the drain electrode is connected with one end of the resistor R4 The drain electrode of the MOS tube Q2 is connected with the other end of the resistor R1; the anode of the diode D4 is connected with the P1 end of the connector; the other end of the resistor R4 is connected with the P2 end of the connector; the other end of the capacitor C1 and the other end of the resistor R2 are grounded.

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.

Provided herein are various enhancements for solar panels and photovoltaic array assemblies. In one example, a system includes solar panel assemblies each comprising a frame defining a mounting area formed from modular segments having receiving features configured to accept spline elements that mount a perimeter of a flexible photovoltaic panel into the mounting area and apply a radial tension to the flexible photovoltaic panel. A stowage mechanism is configured to hold the solar panel assemblies in a stacked configuration and comprising a rod assembly disposed through apertures in the frames of each of the solar panel assemblies. A deployment mechanism is configured to deploy the solar panel assemblies from the stacked configuration into a deployed configuration and comprising self-opening hinges attached between selected pairs of the frames.

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.

An inertia support control method and apparatus for a grid-forming photovoltaic system. When a grid-forming photovoltaic system needs to be started, a VSC inversion unit can be locked, and a DC / DC boost circuit is switched to a charging mode; real-time monitoring is then performed on a direct-current bus voltage, and when the duration during which the direct-current bus voltage remains at a preset target voltage is greater than a preset target duration, the inversion unit is started, and the boost circuit is switched to a maximum power tracking mode; then, a dispatching requirement of the photovoltaic system can be acquired; and the maximum power tracking mode of the boost circuit is maintained when the dispatching requirement is that power generation takes priority, and the boost circuit is switched to a reserved active mode when the dispatching requirement is that inertia support takes priority. A VSC inversion unit and a DC / DC boost circuit are used to control a photovoltaic system, so that flexible inertia support can be realized on the basis of improving the system stability under weak power grid conditions, thereby improving the stability and reliability of a power system.

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 relates to the technical field of chip packaging, and discloses a diode packaging structure facilitating chip packaging and a photovoltaic junction box.The structure comprises a copper-clad plate, the top of the copper-clad plate is fixedly connected with one or more chip bodies, the right side of the top of the copper-clad plate is fixedly connected with soldering tin, and the left side of the top of the copper-clad plate is provided with a connecting port; four positioning holes are formed in the surface of the copper-clad plate, two rectangular grooves are formed in the surface of the copper-clad plate, and a cable is fixedly connected to the left side of the copper-clad plate. The chip body is packaged through resin pouring, the mold manufacturing cost required by traditional packaging is omitted, the overall production cost is greatly reduced, the resin pouring can be accurately allocated according to the characteristics of the chip and is highly matched with the thermal expansion coefficient of the chip, the packaging stress is greatly reduced, and the packaging efficiency is improved. The conditions of welding spot cracking and internal structure damage caused by stress problems in the packaging process and subsequent use of the chip are effectively avoided, and the damage risk of the chip is reduced.

The invention mainly relates to the technical field of direct current circuit breakers, and discloses a photovoltaic special circuit breaker system and method, and the system comprises a signal monitoring module, an abnormity recognition module, a path diagnosis module, a fault derivation module, an isolation control module, a path recovery module, and an action optimization module. According to the system, detailed parameters of path conduction are formed by extracting current amplitudes and direction changes of adjacent nodes, abnormal nodes can be accurately positioned, the conduction path range is marked, and the abnormal node fluctuation range, the amplitude change direction and the input and output deviation in the path are comprehensively calculated in combination with an isolated forest algorithm. According to the method, a specific path and an end point range of abnormal propagation can be quickly analyzed, so that the circuit breaker has quick response, multi-level diagnosis and optimization adjustment capabilities in a complex scene, and the safety, the reliability and the operation efficiency of a direct current system are 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.

The utility model relates to a photovoltaic junction box convenient to disassemble and maintain, which belongs to the technical field of photovoltaic junction boxes, and comprises a photovoltaic junction box main body, a rectangular hole is arranged on the top surface of the photovoltaic junction box main body, a disassembly plate is slidably connected in the rectangular hole, a fixing mechanism is arranged on the photovoltaic junction box main body, and the photovoltaic junction box main body is fixed on the fixing mechanism. A dustproof net plate is mounted on the dismounting plate, and a limiting mechanism is arranged on the dismounting plate; the fixing mechanism comprises a pulling plate fixed to the top face of the dismounting plate, two fixing blocks are fixed to the left side and the right side of the dismounting plate correspondingly, and two fixing grooves are formed in the top wall of the photovoltaic junction box body and located in the left side and the right side of the rectangular hole correspondingly. The top surface of the photovoltaic junction box main body is provided with four dismounting grooves which are respectively communicated with the four fixing grooves, and the top wall of the photovoltaic junction box main body is internally provided with an accommodating groove. According to the photovoltaic junction box convenient to disassemble and maintain, the disassembly plate can be quickly and conveniently disassembled through the fixing mechanism, and the maintenance convenience is better.

The invention relates to an integral type photovoltaic energy storage assembly, belongs to the field of solar photovoltaic power generation, and aims to solve the problems that an existing photovoltaic energy storage product is complex in structure and installation, high in cost, low in efficiency and high in safety risk. The integrated photovoltaic energy storage assembly comprises a solar cell panel, an alternating current and direct current multidirectional conversion device and an energy storage battery. The AC-DC multidirectional conversion device and the energy storage battery are installed on the back surface of the solar cell panel, and the extension height does not exceed the back side end surface of the frame of the solar cell panel. The alternating current and direct current multidirectional conversion device comprises three groups of connecting ends, a plurality of voltage converters, a plurality of switch elements and a control chip, the three groups of connecting ends are electrically connected to a solar cell panel, an energy storage battery and an alternating current power grid respectively, and the control chip is configured to selectively switch on at least one switch element in different working modes of the integral photovoltaic energy storage assembly so as to control the three groups of connecting ends. A voltage conversion path is established between the respective two sets of connection terminals by means of at least one voltage converter.

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 a method for carrying out ecological management on the Tenggri desert through photovoltaic and pasture. The method comprises the steps that S1, a photovoltaic panel intensive water irrigation system is built; s2, land leveling and improvement, wherein land under the photovoltaic panel intensive water irrigation system is leveled, fertilized and improved; s3, planting: sowing Tenggri desert indigenous plant ecological bags under a photovoltaic panel intensive water irrigation system; the Tenggri desert indigenous plant ecological bag comprises the following plants: caragana microphylla, salix psammophila, sophora alopecuroide, artemisia selengensis, elymus dahuricus, agriophyllum squarrosum, astragalus adsurgens, kochia scoparia and mongolian wheatgrass; a photovoltaic panel intensive water irrigation system and special forage grass are combined to comprehensively control desertification, power generation and ecological management complement each other, multiple ecological benefits of land improvement, sand stabilization and land reclamation, wind and sand suppression and vegetation restoration are achieved while power generation is performed, high-quality forage grass can be provided, animal husbandry development is promoted, and economic and ecological benefits are improved. In addition, compared with a traditional irrigation mode, water can be saved by 30-70% through drip irrigation.