CN111726081B - Solar photovoltaic panel intelligent detection processing system based on big data - Google Patents
Solar photovoltaic panel intelligent detection processing system based on big data Download PDFInfo
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- H—ELECTRICITY
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- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
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Abstract
The invention discloses a solar photovoltaic panel intelligent detection processing system based on big data, which comprises an environmental parameter acquisition module, a current acquisition module, a voltage acquisition module, a temperature acquisition module, a data distribution module, a conversion analysis module, an attachment judgment module, a data processing module, a guide clearing module and a protective shielding module. The invention analyzes and processes the temperature on the photovoltaic panel to judge whether the temperature on the photovoltaic panel is abnormal or not, further can accurately judge whether sundries are attached to the photovoltaic panel or not, judge the damage degree of the attached sundries to the photovoltaic panel, and analyze the damage coefficient of the photovoltaic panel through the data processing module to judge whether to control the guide cleaning module to clean the sundries causing the damage of the photovoltaic panel or not and control the protective shielding module to shield rain, thereby greatly shortening the speed of the reduction of the photoelectric conversion efficiency, having intellectualization and prolonging the service life of the photovoltaic panel.
Description
Technical Field
The invention belongs to the technical field of photovoltaic panels, and relates to a solar photovoltaic panel intelligent detection processing system based on big data.
Background
The photovoltaic panel is also called a solar cell panel, and is a device which directly or indirectly converts solar radiation energy into electric energy through a photoelectric effect or a photochemical effect by absorbing sunlight, the main material of most photovoltaic panels is silicon, the photovoltaic panels are gradually popularized in communities and streets along with the application and popularization of the photovoltaic panels, and the utilization rate of the light energy is improved.
When a photovoltaic panel works, once the photovoltaic panel is covered by sundries such as shielding or falling leaves, the shielded photovoltaic panel serves as an energy consumption device to consume the electric quantity generated by the un-shielded photovoltaic panel in a heating mode, so that the temperature of the covered part is far higher than that of the uncovered part, the covered part can be obviously burned out to form hot spots along with the increase of time, when the hot spot effect reaches a certain degree, welding spots of the photovoltaic panel assembly melt and damage grid lines, further the whole solar module is damaged, the power generation rate of the photovoltaic panel is greatly reduced, the service life of the photovoltaic panel is greatly shortened, in addition, the photovoltaic panel is continuously in rainwater and is corroded by rainwater, the aging and corrosion of the photovoltaic panel are accelerated, the resistance of the photovoltaic panel is increased, the photoelectric conversion efficiency is reduced, and the service life of the photovoltaic panel is shortened.
Disclosure of Invention
The invention aims to provide a solar photovoltaic panel intelligent detection processing system based on big data, which solves the problems in the prior art.
The purpose of the invention can be realized by the following technical scheme:
a solar photovoltaic panel intelligent detection processing system based on big data comprises an environmental parameter acquisition module, a current acquisition module, a voltage acquisition module, a temperature acquisition module, a data distribution module, a conversion analysis module, an attachment judgment module, a data processing module, a guide clearing module and a protection shielding module;
the environment parameter acquisition module is used for acquiring environment parameter information of the position of the photovoltaic panel, wherein the environment parameter information comprises illumination intensity, temperature and rainfall;
the data distribution module is used for extracting the illumination intensity collected in the environment parameter collection module, sending the extracted illumination intensity to the conversion analysis module, sending the temperature information in the environment where the photovoltaic panel is located to the adhesion judgment module, and sending the rainfall to the data processing module;
the current acquisition module is a current sensor and is used for detecting the current converted after sunlight irradiates the photovoltaic panel and sending the detected current to the conversion analysis module;
the voltage acquisition module is a voltage sensor and is used for detecting the voltage converted after sunlight irradiates the photovoltaic panel and sending the detected voltage to the conversion analysis module;
the conversion analysis module is used for receiving the illumination intensity sent by the data distribution module, screening out the unit maximum power generated by the photovoltaic panel in the unit area from the illumination intensity correlation table, extracting the area of the photovoltaic panel, and analyzing the maximum power Pmax corresponding to the whole photovoltaic panel;
the temperature acquisition module comprises a plurality of temperature sensors which are distributed on the photovoltaic panel in an array manner and used for detecting the temperature of each subarea where each temperature sensor is located and sending the detected temperature in each subarea to the adhesion judgment module;
the adhesion judging module is used for receiving the temperature in each subregion sent by the temperature sensor in each subregion, receiving the temperature in the environment where the photovoltaic panel is located sent by the data distribution module, processing the received temperature in each subregion and the temperature in the environment to judge whether impurities exist on the photovoltaic panel, if impurities exist, extracting the maximum power of the photovoltaic panel for converting light energy into electric energy and the output power of the photovoltaic panel sent by the conversion analysis module to analyze the damage coefficient of the impurities to the photovoltaic panel, and sending the damage coefficients of the impurities on the photovoltaic panel and the damage coefficient of the impurities to the photovoltaic panel to the data processing module;
the data processing module is used for receiving sundries on the photovoltaic panel sent by the attachment judging module and damage coefficients of the sundries on the photovoltaic panel, judging whether the damage coefficients of the photovoltaic panel are larger than a set damage coefficient threshold value or not, if so, the data processing module sends a cleaning triggering instruction to the guide cleaning module to clean the sundries attached to the surface of the photovoltaic panel, receives rainfall sent by the data analyzing module and receives the maximum power of converting light energy into electric energy and the output power of the photovoltaic panel sent by the conversion analyzing module, compares the received rainfall with the set rainfall threshold value, if so, sends a shielding triggering instruction to the protective shielding module, analyzes the photoelectric output conversion rate according to the maximum power of converting light energy into electric energy and the output power of the photovoltaic panel by the photovoltaic panel, and sends voice broadcast reminding when the photoelectric output conversion rate is smaller than a set lower limit of the conversion rate.
Further, the method for judging whether the photovoltaic panel has the impurities by the adhesion judging module specifically comprises the following steps:
s1, extracting the temperature in each sub-area and the temperature in the environment where the photovoltaic panel is located at equal intervals;
s2, comparing the temperature in each sub-area in each equal interval time T with the temperature in the environment where the photovoltaic panel is located to obtain a body temperature difference wit, wherein i =1,2, the temperature is equal to d, T =1,2, the temperature is equal to r, d is the number of the sub-areas on the photovoltaic panel, i is the number of the sub-areas, the area in each sub-area is the same, and T is represented as the T-th equal interval time T;
s3, comparing the body temperature difference of the same sub-region at the next equal interval time with the body temperature difference of the same sub-region at the previous equal interval time to obtain an interval temperature difference delta wit = wit-wi (t-1); comparing the body temperature of each subregion in adjacent equal-interval time periods to judge the change trend of the temperature of each subregion;
and S4, judging the times that the interval temperature difference delta wit in the same sub-area is larger than the set interval temperature difference, if the interval temperature difference delta wit is larger than N (N = 3), extracting the number of the sub-area, and indicating that sundries are attached to the sub-area.
Further, when the adhesion judgment module detects that the photovoltaic panel is adhered with the sundries, the adhesion judgment module analyzes the damage coefficient of the sundries to the photovoltaic panel, and the method specifically comprises the following steps:
v1, screening out sub-areas with sundries attached to the surfaces, and counting the total heat generated by the sub-areas with the sundries attached to the sub-areas in equal interval time periods;
v2, extracting the output current and voltage of the photovoltaic panel in the current equal interval time period and the current illumination intensity and the maximum power Pmax corresponding to the whole photovoltaic panel, and sequentially analyzing the generated electric energy W of the photovoltaic panel Produce birth to = Pmax T and output power W Go out = UIT, U, I expressed as output voltage of photovoltaic panel andcurrent;
v3, according to damage model formula of photovoltaic panel
Analyzing the damage coefficient, Q, of the photovoltaic panel under the influence of impurities it Phi represents the damage coefficient of the photovoltaic panel in each equal interval time period, f represents the number of the sub-areas with attached impurities, lambda represents the damage factor, 1 < lambda < 2, and d represents the total number of the sub-areas on the photovoltaic panel.
Further, the total heat quantity Q = ∑ Q generated by the sub-region in the equal interval period it Heat Q generated by foreign matter in each sub-area it And c is expressed as the specific heat capacity of the photovoltaic panel, m is expressed as the mass of the photovoltaic panel of each subregion, wt is expressed as the bulk temperature difference of the photovoltaic panel in the T-th equal interval time period T, and wi (T-1) is expressed as the bulk temperature difference of the photovoltaic panel in the T-1 th equal interval time period T.
Furthermore, the guiding and clearing module is arranged at the upper end of the photovoltaic panel and used for receiving a cleaning trigger instruction sent by the data processing module and clearing sundries attached to the surface of the photovoltaic panel;
the module is clear away in the guide and is installed on the photovoltaic board, the module is clear away in the guide includes the mounting bracket, spacing fixed plate, the guide bar, electric putter, spacing guide frame and clearance mechanism, mounting bracket fixed mounting is at the lower terminal surface of photovoltaic board, the mounting bracket both sides are fixed with four spacing fixed plates, be fixed with the guide bar between two spacing fixed plates, be fixed with articulated seat and electric putter on the spacing fixed plate, the outer terminal surface of spacing fixed plate is fixed with spacing guide frame, it has the recess to open on the spacing guide frame, spacing guide frame side is opened there is the arc wall, clearance mechanism slidable mounting is on the guide bar.
Further, the clearing mechanism comprises a top supporting plate, a supporting column connected with an electric push rod, a sliding guide cylinder, a first electric telescopic rod, a cleaning shovel, a second electric telescopic rod, a transmission cleaning belt, a plurality of motors and transmission teeth, wherein the top supporting plate is connected with the sliding guide cylinder through the supporting column, the sliding guide cylinder is in sliding fit with the guide rod, the lower end of the first electric telescopic rod is hinged to the upper end of the cleaning shovel, one end of the second electric telescopic rod is hinged to the rear end face of the cleaning shovel, the other end of the second electric telescopic rod is hinged to the top supporting plate, the height of the cleaning shovel is adjusted through the first electric telescopic rod, the motors are installed on the top supporting plate through bearings, the transmission teeth are fixed on output shafts of the motors, the transmission teeth are meshed with the transmission cleaning belt, the transmission cleaning belt is composed of a plurality of transmission chains, adjacent transmission chains are hinged to each other, and cleaning brushes are fixed on the lower end faces of the transmission cleaning belt.
Further, the module is sheltered from in the protection installs respectively in photovoltaic board left and right sides for receiving sheltering from trigger command that data processing module sent, in order to shelter from the photovoltaic board, the module is sheltered from in the protection includes weather shield, third electric telescopic handle, limiting plate and sliding block, and the rubber pad has been posted to the opposite face of two weather shields, and terminal surface articulates two third electric telescopic handle under the weather shield to fixed mounting has the limiting plate, and third electric telescopic handle is articulated mutually with articulated seat, limiting plate and recess sliding fit, be fixed with on the limiting plate with arc wall sliding fit's sliding block.
The invention has the beneficial effects that:
according to the solar photovoltaic panel intelligent detection processing system based on the big data, provided by the invention, the temperature on the photovoltaic panel is analyzed and processed through the attachment judgment module, the conversion analysis module and other modules, so as to judge whether the temperature on the photovoltaic panel is abnormal or not, and further, whether sundries are attached to the photovoltaic panel or not can be accurately judged; in case judge that to adhere to on the photovoltaic board to have debris be, according to the heat that has the regional of debris of adhering to and the production electric energy and the output electric energy of photovoltaic board, judge the damage degree of the photovoltaic board of adnexed debris on the photovoltaic board, can accurately analyze out the damage degree that whether the photovoltaic board surface has debris and adnexed debris to cause the photovoltaic board.
The damage coefficient of the photovoltaic panel is analyzed through the data processing module to judge whether the guide clearing module is controlled to clear sundries which cause damage of the photovoltaic panel or not, so that hot spot phenomenon caused by adhesion of the sundries to the photovoltaic panel is reduced, the service life of the photovoltaic panel is prolonged, the rainfall in the environment where the photovoltaic panel is located is analyzed, whether the protective shielding module is controlled to shield rain or not is judged, the photovoltaic panel is prevented from being impacted and corroded by rainwater for a long time, aging and corrosion of the photovoltaic panel are accelerated, photoelectric conversion efficiency is reduced, the speed of reduction of photoelectric conversion efficiency is greatly shortened, intellectualization is realized, protection of the photovoltaic panel is realized, and the service life of the photovoltaic panel is comprehensively prolonged.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a solar photovoltaic panel intelligent detection processing system based on big data in the invention;
fig. 2 is a schematic view of a protection device for a photovoltaic panel according to the present invention;
FIG. 3 is a schematic diagram of a boot purge module of the present invention;
FIG. 4 is a partial schematic view of a boot purge module of the present invention;
fig. 5 is a schematic view of the protective shielding module of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, an intelligent detection and processing system for solar photovoltaic panels based on big data comprises an environmental parameter acquisition module, a current acquisition module, a voltage acquisition module, a temperature acquisition module, a data distribution module, a conversion analysis module, an adhesion judgment module, a data processing module, a guidance clearing module and a protection shielding module.
The environment parameter acquisition module is used for acquiring environment parameter information of the position of the photovoltaic panel, the environment parameter information comprises illumination intensity, temperature and rainfall, the environment parameter acquisition module comprises a rainfall detection unit, an illumination detection unit and a temperature detection unit, the rainfall detection unit is a rainfall sensor and is used for detecting the rainfall size, the illumination detection unit is an illumination sensor and is used for detecting the illumination intensity, and the temperature detection unit is a temperature sensor and is used for detecting the temperature of the photovoltaic panel in the environment.
The data distribution module is used for extracting the illumination intensity collected in the environment parameter collection module, sending the extracted illumination intensity to the conversion analysis module, sending the temperature information in the environment where the photovoltaic panel is located to the adhesion judgment module, and sending the rainfall to the data processing module.
The current acquisition module is a current sensor and is used for detecting the current converted after sunlight irradiates the photovoltaic panel and sending the detected current to the conversion analysis module.
The voltage acquisition module is a voltage sensor and is used for detecting the voltage converted after sunlight irradiates the photovoltaic panel and sending the detected voltage to the conversion analysis module.
The conversion analysis module is used for receiving the illumination intensity sent by the data distribution module, screening out the unit maximum power generated by the photovoltaic panel in unit area from the illumination intensity association table, extracting the area of the photovoltaic panel, and analyzing the maximum power Pmax corresponding to the whole photovoltaic panel, wherein Pmax = P0S/S0, S0 is unit area, P0 is the unit maximum power of the photovoltaic panel in unit area, E is the conversion efficiency of the photovoltaic panel, S is the total area of the photovoltaic panel, the maximum power of the photovoltaic panel for converting the solar energy in each illumination intensity into the electric energy can be analyzed according to the illumination intensity association table, meanwhile, the output current and the voltage after the photovoltaic panel respectively sends the received current acquisition module and the voltage acquisition module converts the light energy into the electric energy are calculated according to the power calculation formula P = UI, U is the voltage after the photovoltaic panel converts the light energy into the electric energy, I is the output current after the photovoltaic panel converts the light energy into the electric energy, the output power of the photovoltaic panel is counted, the photovoltaic panel converts the light energy into the photovoltaic panel into the electric energy, and sends the photovoltaic panel output power and the unit maximum power of the photovoltaic panel, and the illumination intensity association table, and the unit maximum power are respectively judged.
The temperature acquisition module comprises a plurality of temperature sensors, the temperature sensors are distributed on the photovoltaic panel in an array mode and used for detecting the temperature of each subarea where each temperature sensor is located and sending the detected temperature in each subarea to the adhesion judgment module.
The attachment judging module is used for receiving the temperature in each subregion sent by the temperature sensor in each subregion, receiving the temperature in the environment where the photovoltaic panel is located sent by the data distribution module, processing the received temperature in each subregion and the temperature in the environment to judge whether impurities exist on the photovoltaic panel, if the impurities exist, extracting the maximum power of the photovoltaic panel which is sent by the conversion analysis module and used for converting light energy into electric energy and the output power of the photovoltaic panel, analyzing the damage coefficient of the impurities on the photovoltaic panel, and sending the damage coefficient of the impurities on the photovoltaic panel and the damage coefficient of the impurities on the photovoltaic panel to the data processing module.
The method for judging whether the photovoltaic panel has the sundries by the adhesion judging module specifically comprises the following steps of:
s1, extracting the temperature in each sub-area and the temperature in the environment where the photovoltaic panel is located at equal intervals;
s2, comparing the temperature in each sub-area at each equal interval time T with the temperature in the environment where the photovoltaic panel is located to obtain a body temperature difference wit, wherein i =1,2, a, d, T =1,2, a, r, d are the number of the sub-areas on the photovoltaic panel, i is the number of the sub-areas, the area in each sub-area is the same, and T is represented as the T-th equal interval time T, so that the influence degree of the external environment temperature on the temperature of the photovoltaic panel is reduced;
s3, comparing the temperature difference of the body in the next equal interval time of the same sub-area with the temperature difference of the body in the last equal interval time to obtain an interval temperature difference delta wit = wit-wi (t-1); comparing the body temperature of each subregion in adjacent equal interval time periods to judge the variation trend of the temperature of each subregion;
and S4, judging the times that the interval temperature difference delta wit in the same sub-area is larger than the set interval temperature difference, if the interval temperature difference delta wit is larger than N (N = 3), extracting the number of the sub-area, and indicating that sundries are attached to the sub-area.
When the photovoltaic panel is in operation, in case debris such as leaves are attached to the photovoltaic panel, cause the local shadow on the photovoltaic panel, this local shadow can lead to electric current and voltage in the photovoltaic panel to change, leads to the temperature of covering part to be higher than the part that does not cover far away, and the longer along with time, photovoltaic panel surface can produce obvious heat of burning out, through above-mentioned method, can accurately discern whether to have attached to debris on the photovoltaic panel to can judge the position that has attached to debris.
When the attachment judging module detects that sundries are attached to the photovoltaic panel, the attachment judging module analyzes the damage coefficient of the sundries to the photovoltaic panel, and the method specifically comprises the following steps:
v1, screening out sub-areas with sundries attached to the surfaces, and counting the total heat Q =sigmaQ generated by each sub-area with sundries attached to the sub-areas in an equal interval time period it Heat Q generated by foreign matter in each sub-area it Cm (wi-wi (T-1)), c is expressed as the specific heat capacity of the photovoltaic panel, m is expressed as the mass of the photovoltaic panel per sub-area, wt is expressed as the bulk temperature difference of the photovoltaic panel in the T-th equally spaced time period T, and wi (T-1) is expressed as the bulk temperature difference of the photovoltaic panel in the T-1-th equally spaced time period T;
v2, extracting the output current and voltage of the photovoltaic panel in the current equal interval time period and the current illumination intensity and the maximum power Pmax corresponding to the whole photovoltaic panel, and sequentially analyzing the generated electric energy W of the photovoltaic panel Produce birth to = Pmax T and output power W Go out = UIT, U, I expressed as output voltage and current of photovoltaic panel, respectively;
v3, according to damage model formula of photovoltaic panel
Analyzing the damage coefficient, Q, of the photovoltaic panel under the influence of impurities it Phi is the heat generated by the ith sub-area in the T equal interval time period T, phi is the damage coefficient of the photovoltaic panel in each equal interval time period, f is the number of the sub-areas with attached impurities, lambda is the damage factor, 1 < lambda < 2, and d is the total number of the sub-areas on the photovoltaic panel.
The damage coefficient of the photovoltaic panel shows the damage coefficient of the photovoltaic panel caused by heat generated by the photovoltaic panel under the influence of impurities, the larger the damage coefficient is, the larger the damage degree of the photovoltaic panel caused by the impurities is shown, and along with the accumulation of time, the longer the time that the same impurities are adhered to and accumulated, the more serious the damage caused to the photovoltaic panel is.
The data processing module is used for receiving sundries on the photovoltaic panel and damage coefficients of the sundries to the photovoltaic panel sent by the attachment judging module, judging whether the damage coefficients of the photovoltaic panel are larger than a set damage coefficient threshold value or not, if so, sending a cleaning trigger instruction to the guide cleaning module to clean the sundries attached to the surface of the photovoltaic panel, receiving rainfall sent by the data analyzing module and receiving the maximum power of converting light energy into electric energy and the output power of the photovoltaic panel sent by the conversion analyzing module, comparing the received rainfall with the set rainfall threshold value, if so, sending a shielding trigger instruction to the protective shielding module to avoid the photovoltaic panel from being impacted and corroded by rainwater for a long time, accelerating the aging and corrosion of the photovoltaic panel, reducing the photoelectric conversion efficiency, prolonging the service life of the photovoltaic panel, analyzing the photoelectric output conversion rate according to the maximum power of converting light energy into electric energy and the output power of the photovoltaic panel, and when the ratio of the maximum power of converting light energy into electric energy and the output power of the photovoltaic panel is larger than the set lower limit of converting light energy into electric energy, and sending a prompt that a user can normally maintain the photovoltaic panel when the photovoltaic panel is smaller than the lower limit of converting light energy, and sending a prompt voice.
The guide is clear away the module and is installed in the photovoltaic board upper end, a trigger command cleans for receiving that data processing module sent, clear away the adnexed debris in photovoltaic board surface, guarantee that the photovoltaic board normally works, and avoid the hot spot on photovoltaic board surface to form, guide is clear away module 1 and is installed on photovoltaic board 3, guide is clear away module 1 and is included mounting bracket 11, spacing fixed plate 12, guide bar 13, electric putter 14, spacing guide frame 15 and clearance mechanism 16, mounting bracket 11 fixed mounting is at the lower terminal surface of photovoltaic board 3, be used for installing photovoltaic board 3 fixed, mounting bracket 11 both sides are fixed with four spacing fixed plates 12, be fixed with guide bar 13 between two spacing fixed plates 12, be fixed with articulated seat 121 and electric putter 14 on the spacing fixed plate 12, spacing guide frame 15 is fixed to spacing fixed plate 12 outer terminal surface, it has recess 151 to open on the spacing guide frame 15, spacing guide frame 15 side is opened there is arc groove 152.
The cleaning mechanism 16 comprises a top supporting plate 161, a supporting column 162 connected with the electric push rod 14, a sliding guide cylinder 163, a first electric telescopic rod 164, a cleaning shovel 165, a second electric telescopic rod 166, a transmission cleaning belt 169, a plurality of motors 167 and transmission teeth 168, wherein the top supporting plate 161 is connected with the sliding guide cylinder 163 through the supporting column 162, the sliding guide cylinder 163 is in sliding fit with the guide rod 13, the lower end of the first electric telescopic rod 164 is hinged with the upper end of the cleaning shovel 165, one end of the second electric telescopic rod 166 is hinged with the rear end face of the cleaning shovel 165, the other end of the second electric telescopic rod is hinged with the top supporting plate 161, the telescopic length of the first electric telescopic rod 164 is used for adjusting the height of the cleaning shovel 165, the angle of the cleaning shovel 165 for cleaning sundries on the photovoltaic panel 3 can be controlled by adjusting the length of the second electric telescopic rod 166, so that the sundries or snow attached to the photovoltaic panel 3 can be effectively removed, the motors 167 are mounted on the top supporting plate 161 through bearings, the output shaft of the motors 167 is fixed with the transmission teeth 168, the transmission teeth 168 are meshed with the transmission belts 169, the transmission belts, the transmission chains 167, the transmission chains are used for fixing the transmission chains, and driving the motors to rotate the cleaning belt to clean the cleaning belt 169 along the same working tracks of the cleaning belt, and the cleaning belt, when the cleaning belt, the cleaning belt drives the cleaning belt to clean the cleaning belt to work surface of the cleaning board, and the cleaning belt 169.
The protection shelters from the module and installs respectively in photovoltaic board left and right sides, a shelter from trigger command for receiving that data processing module sent, in order to shelter from the photovoltaic board, avoid the rainwater to the corruption of photovoltaic board, the protection shelters from module 2 and includes weather shield 21, third electric telescopic handle 22, limiting plate 23 and sliding block 24, the rubber pad is posted to the opposite face of two weather shields 21, avoid the closed department infiltration rain of two weather shields 21, terminal surface articulated two third electric telescopic handle 22 under the weather shield 21, and fixed mounting has limiting plate 23, third electric telescopic handle 22 is articulated mutually with articulated seat 121, limiting plate 23 and recess 151 sliding fit, be fixed with sliding block 24 with arc wall 152 sliding fit on the limiting plate 23, when raining, third electric telescopic handle 22 extends, limiting plate 23 under the combined action of recess 151 and sliding block 24 at arc wall 152, promote weather shield 21 to rotate along the orbit of arc wall 152, until two weather shield 21 contact, accomplish the operation of keeping off the rain, wherein, weather shield 21 is from the in-process of vertical state to the weather shield state, the length of third electric telescopic handle 22 increases gradually.
Clear away the module through the guide and handle debris etc. on the photovoltaic board 3, reduce debris and cause the spot to appear in the photovoltaic board on attaching to the photovoltaic board for a long time, reduce the life of photovoltaic board, when rainy, shelter from the module through the protection and shelter from the rainwater, avoid the rainwater to accelerate ageing and the corruption of photovoltaic board.
The foregoing is illustrative and explanatory only of the present invention, and it is intended that the present invention cover modifications, additions, or substitutions by those skilled in the art, without departing from the spirit of the invention or exceeding the scope of the claims.
Claims (6)
1. The utility model provides a solar photovoltaic board intellectual detection system processing system based on big data which characterized in that: the device comprises an environmental parameter acquisition module, a current acquisition module, a voltage acquisition module, a temperature acquisition module, a data distribution module, a conversion analysis module, an adhesion judgment module, a data processing module, a guide clearing module and a protective shielding module;
the environment parameter acquisition module is used for acquiring environment parameter information of the position of the photovoltaic panel, wherein the environment parameter information comprises illumination intensity, temperature and rainfall;
the data distribution module is used for extracting the illumination intensity collected in the environment parameter collection module, sending the extracted illumination intensity to the conversion analysis module, sending the temperature information in the environment where the photovoltaic panel is located to the adhesion judgment module, and sending the rainfall to the data processing module;
the current acquisition module is a current sensor and is used for detecting the current converted after sunlight irradiates the photovoltaic panel and sending the detected current to the conversion analysis module;
the voltage acquisition module is a voltage sensor and is used for detecting the voltage converted after sunlight irradiates the photovoltaic panel and sending the detected voltage to the conversion analysis module;
the conversion analysis module is used for receiving the illumination intensity sent by the data distribution module, screening out the unit maximum power generated by the photovoltaic panel in the unit area from the illumination intensity correlation table, extracting the area of the photovoltaic panel, and analyzing the maximum power Pmax corresponding to the whole photovoltaic panel;
the temperature acquisition module comprises a plurality of temperature sensors which are distributed on the photovoltaic panel in an array manner and used for detecting the temperature of each subarea where each temperature sensor is located and sending the detected temperature in each subarea to the adhesion judgment module;
the adhesion judging module is used for receiving the temperature in each subregion sent by the temperature sensor in each subregion, receiving the temperature in the environment where the photovoltaic panel is located sent by the data distribution module, processing the received temperature in each subregion and the temperature in the environment to judge whether impurities exist on the photovoltaic panel, if impurities exist, extracting the maximum power of the photovoltaic panel for converting light energy into electric energy and the output power of the photovoltaic panel sent by the conversion analysis module to analyze the damage coefficient of the impurities to the photovoltaic panel, and sending the damage coefficients of the impurities on the photovoltaic panel and the damage coefficient of the impurities to the photovoltaic panel to the data processing module;
the method for judging whether the photovoltaic panel has sundries by the adhesion judging module specifically comprises the following steps of:
s1, extracting the temperature in each sub-area and the temperature of the environment where the photovoltaic panel is located at equal intervals;
s2, comparing the temperature in each sub-area under each equal interval time T with the temperature in the environment where the photovoltaic panel is located to obtain a body temperature difference wit, wherein i =1,2, the temperature, d, T =1,2, r, d is the number of the sub-areas on the photovoltaic panel, i is the number of the sub-areas, the area in each sub-area is the same, T is represented as the T-th equal interval time T, and r is represented as the total number of the equal interval times T;
s3, comparing the body temperature difference of the same sub-region at the next equal interval time with the body temperature difference of the same sub-region at the previous equal interval time to obtain an interval temperature difference delta wit = wit-wi (t-1); comparing the body temperature of each subregion in adjacent equal-interval time periods to judge the change trend of the temperature of each subregion;
s4, judging the times that each interval temperature difference delta wit in the same subregion is larger than the set interval temperature difference, if the interval temperature difference delta wit is larger than N and N =3, extracting the number of the subregion, and indicating that sundries are attached to the subregion;
the data processing module is used for receiving sundries on the photovoltaic panel and damage coefficients of the sundries to the photovoltaic panel sent by the attachment judging module, judging whether the damage coefficients of the photovoltaic panel are larger than a set damage coefficient threshold value or not, if so, sending a cleaning trigger instruction to the guide cleaning module by the data processing module to clean the sundries attached to the surface of the photovoltaic panel, receiving rainfall sent by the data analyzing module and the maximum power of the photovoltaic panel for converting light energy into electric energy and the output power of the photovoltaic panel sent by the receiving conversion analyzing module, comparing the received rainfall with the set rainfall threshold value, if so, sending a shielding trigger instruction to the protective shielding module, analyzing the photoelectric output conversion rate according to the maximum power of the photovoltaic panel for converting light energy into electric energy and the output power of the photovoltaic panel, and sending voice broadcasting reminding when the photoelectric output conversion rate is smaller than a set conversion rate lower limit.
2. The solar photovoltaic panel intelligent detection and processing system based on big data according to claim 1, characterized in that: when the attachment judging module detects that sundries are attached to the photovoltaic panel, the attachment judging module analyzes the damage coefficient of the sundries to the photovoltaic panel, and the method specifically comprises the following steps:
v1, screening out sub-areas with impurities attached to the surfaces, and counting the total heat generated by the sub-areas with the impurities attached to the sub-areas in an equal interval time period;
v2, extracting the output current and voltage of the photovoltaic panel in the current equal interval time period and the current illumination intensity and the maximum power Pmax corresponding to the whole photovoltaic panel, and sequentially analyzing the generated electric energy W of the photovoltaic panel Product produced by birth = Pmax T and output power W Go out = UIT, U, I expressed as output voltage and current of the photovoltaic panel, respectively;
v3, according to damage model formula of photovoltaic panel
Analyzing the damage coefficient, Q, of the photovoltaic panel under the influence of impurities it Phi represents the damage coefficient of the photovoltaic panel in each equal interval time period, f represents the number of the sub-areas with attached impurities, lambda represents the damage factor, 1 < lambda < 2, and d represents the total number of the sub-areas on the photovoltaic panel.
3. The solar photovoltaic panel intelligent detection and processing system based on big data according to claim 2, characterized in that: the total heat quantity Q = ∑ Q generated by the sub-area in the equal interval time period it Heat Q generated by foreign matter in each sub-area it And c is expressed as the specific heat capacity of the photovoltaic panel, m is expressed as the mass of the photovoltaic panel of each subregion, wt is expressed as the bulk temperature difference of the photovoltaic panel in the T-th equal interval time period T, and wi (T-1) is expressed as the bulk temperature difference of the photovoltaic panel in the T-1 th equal interval time period T.
4. The solar photovoltaic panel intelligent detection and processing system based on big data according to claim 1, characterized in that: the guiding and clearing module is arranged at the upper end of the photovoltaic panel and used for receiving a cleaning triggering instruction sent by the data processing module and clearing sundries attached to the surface of the photovoltaic panel;
module (1) is clear away in the guide and is installed on photovoltaic board (3), module (1) is clear away in the guide includes mounting bracket (11), spacing fixed plate (12), guide bar (13), electric putter (14), spacing guide frame (15) and clearance mechanism (16), mounting bracket (11) fixed mounting is at the lower terminal surface of photovoltaic board (3), mounting bracket (11) both sides are fixed with four spacing fixed plate (12), be fixed with guide bar (13) between two spacing fixed plate (12), be fixed with articulated seat (121) and electric putter (14) on spacing fixed plate (12), outer terminal surface is fixed with spacing guide frame (15) of spacing fixed plate (12), spacing guide frame (15) are gone up to open has recess (151), spacing guide frame (15) side is opened has arc wall (152), clearance mechanism (16) slidable mounting is on guide bar (13).
5. The solar photovoltaic panel intelligent detection and processing system based on big data according to claim 4, characterized in that: the cleaning mechanism (16) comprises a top supporting plate (161), a supporting column (162) connected with an electric push rod (14), a sliding guide cylinder (163), a first electric telescopic rod (164), a cleaning shovel (165), a second electric telescopic rod (166), a transmission cleaning belt (169), a plurality of motors (167) and transmission teeth (168), the top supporting plate (161) is connected with the sliding guide cylinder (163) through the supporting column (162), the sliding guide cylinder (163) is in sliding fit with a guide rod (13), the lower end of the first electric telescopic rod (164) is hinged to the upper end of the cleaning shovel (165), one end of the second electric telescopic rod (166) is hinged to the rear end face of the cleaning shovel (165), the other end of the second electric telescopic rod is hinged to the top supporting plate (161), the height of the cleaning shovel (165) is adjusted through the first electric telescopic rod (164), the motors (167) are mounted on the top supporting plate (161) through bearings, the output shafts of the motors (167) are fixedly provided with the teeth (168), the transmission teeth (168) are meshed with the transmission cleaning belt (169), the transmission belt (169), and the cleaning chain consists of a plurality of transmission belts which are hinged to the cleaning chain, and the cleaning chain (169) is arranged adjacent to the cleaning chain.
6. The solar photovoltaic panel intelligent detection and processing system based on big data according to claim 5, characterized in that: the protection shelters from the module and installs respectively in photovoltaic board left and right sides for receiving sheltering from trigger command that data processing module sent, in order to shelter from the photovoltaic board, the protection shelters from module (2) including weather shield (21), third electric telescopic handle (22), limiting plate (23) and sliding block (24), and the rubber pad has been pasted to the opposite face of two weather shields (21), and terminal surface articulates two third electric telescopic handle (22) under weather shield (21), and fixed mounting has limiting plate (23), and third electric telescopic handle (22) are articulated mutually with articulated seat (121), limiting plate (23) and recess (151) sliding fit, be fixed with on limiting plate (23) with arc wall (152) sliding fit's sliding block (24).
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| CN115062806B (en) * | 2022-08-18 | 2022-11-18 | 山东龙普太阳能股份有限公司 | Solar data monitoring and management system and method |
| CN115133864B (en) * | 2022-08-26 | 2023-08-25 | 广州竑创能源科技有限公司 | Working method of cleaning device for photovoltaic module based on big data |
| CN117601786A (en) * | 2023-12-22 | 2024-02-27 | 天一智控(山东)汽车科技有限公司 | Intelligent wheel monitoring system and vehicle |
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