CN111726081A - 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, analyze the damage coefficient of the photovoltaic panel through the data processing module to judge whether to control the guide clearing module to clear the sundries causing the damage of the photovoltaic panel or not, and control the protective shielding module to block rain, greatly shortens the speed of the reduction of the photoelectric conversion efficiency, has intellectualization and improves 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 the 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 burnt 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 assembly 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 corroded by rainwater in the 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 The damage degree of the photovoltaic panel caused by the attachment of the sundries is not effective, the sundries attached to the surface cannot be effectively treated, and the photovoltaic panel cannot be protected according to whether rainfall occurs or not.
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 the unit maximum power generated by the photovoltaic panel in the unit area from the illumination intensity association table, extracting the area of the photovoltaic panel to analyze the maximum power Pmax corresponding to the whole photovoltaic panel, meanwhile, receiving the output current and the voltage after the photovoltaic panel converts the light energy into the electric energy which are respectively sent by the current collection module and the voltage collection module, counting the output power of the photovoltaic panel according to a power calculation formula P which is UI, and respectively sending the maximum power of the photovoltaic panel which converts the light energy into the electric energy and the output power of the photovoltaic panel to the adhesion judgment module and the data processing module;
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 the 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 coefficient 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 the sundries on the photovoltaic panel and the damage coefficient of the sundries to the photovoltaic panel sent by the attachment judging module, judging whether the damage coefficient of the photovoltaic panel is larger than a set damage coefficient threshold value or not, if so, sending a cleaning triggering instruction to the guiding and removing module to remove the sundries attached to the surface of the photovoltaic panel, receiving the rainfall sent by the data analyzing module and the maximum power of the photovoltaic panel for converting the light energy into the electric energy and the output power of the photovoltaic panel sent by the receiving and converting analyzing module, comparing the received rainfall with the set rainfall threshold value, if so, sending a shielding triggering instruction to the shielding and shielding module, analyzing the photoelectric output conversion rate according to the maximum power of the photovoltaic panel for converting the light energy into the electric energy and the output power of the photovoltaic panel, and when the photoelectric output conversion rate is smaller than the set lower limit of the conversion rate, and the data processing module sends a voice broadcast prompt.
Further, the method for judging whether the photovoltaic panel has the impurities by the adhesion judging module specifically comprises the following steps:
s1, respectively 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, where i is 1,2, a., d, T is 1,2, a., r, d is the number of 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 temperature difference of the body in the next equal interval time of the same subregion with the temperature difference of the body in the last equal interval time to obtain an interval temperature difference delta wit which is 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;
s4, the number of times that the interval temperature difference Δ wit in the same subregion is larger than the set interval temperature difference is determined, and if the number is larger than N (N is 3), the number of the subregion is extracted, and it is indicated that foreign matter is attached to the subregion.
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 at equal intervals;
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 overall corresponding maximum power Pmax of the photovoltaic panel, and sequentially analyzing the generated electric energy W of the photovoltaic panelProduct produced by birthPmax T and output power WGo outUIT, U, I are respectively denoted as output voltage and current of the photovoltaic panel;
v3 formula of damage model according to photovoltaic panelAnalyzing the damage coefficient of the photovoltaic panel under the influence of the impurities, wherein phi represents the damage coefficient of the photovoltaic panel at each equal interval time period, f represents the number of the subregions with the impurities attached, lambda represents the damage factor, 1 < lambda < 2, and d represents the total number of the subregions on the photovoltaic panel.
Further, the total heat Q generated by the sub-regions during the equally spaced time periods is ∑ QitHeat Q generated by foreign matter in each sub-areaitCm (wit-wi (T-1)), c denotes the specific heat capacity of the photovoltaic panel, m denotes the mass of the photovoltaic panel per sub-area, wit denotes the bulk temperature of the photovoltaic panel in the T-th equally spaced time period T, and wi (T-1) denotes the bulk temperature of the photovoltaic panel in the T-1-th equally spaced time period T, in J.
Furthermore, 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;
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.
Further, the module is sheltered from in the protection is installed 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 is posted to the opposite face of two weather shields, and terminal surface articulated 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 it is to judge that debris are attached to on the photovoltaic board, according to the heat that is attached to the debris region to and the production electric energy and the output electric energy of photovoltaic board, judge the damage degree of the photovoltaic board of the debris that are attached to on the photovoltaic board, can accurately analyze out the damage degree that whether the photovoltaic board surface is attached to debris and the attached debris caused to 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 shielding module according to 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 includes 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 attachment 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, wherein the unit maximum power P0 is S0% E, extracting the area of the photovoltaic panel to analyze the maximum power Pmax corresponding to the whole photovoltaic panel, Pmax is 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 converts the light energy into the electric energy respectively sent by the receiving current collection module and the voltage collection module are respectively, and the output power of the photovoltaic panel is counted according to a power calculation formula P UI, and the maximum power of the photovoltaic panel for converting the light energy into the electric energy and the output power of the photovoltaic panel are respectively sent to the adhesion judgment module and the data processing module, wherein the unit maximum power corresponding to each illumination intensity in unit area is distributed in the illumination intensity association table.
The temperature acquisition module comprises a plurality of temperature sensors, the array of the temperature acquisition module is distributed on the photovoltaic panel 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 sundries by the adhesion judging module specifically comprises the following steps of:
s1, respectively 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-region 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, where i is 1,2, a, d, T is 1,2, a, r, d is the number of sub-regions on the photovoltaic panel, i is the number of the sub-regions, the area in each sub-region is the same, and T is the T-th equal interval time T, so as to reduce the influence degree of the external environment temperature on the temperature of the photovoltaic panel;
s3, comparing the temperature difference of the body in the next equal interval time of the same subregion with the temperature difference of the body in the last equal interval time to obtain an interval temperature difference delta wit which is 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;
s4, the number of times that the interval temperature difference Δ wit in the same subregion is larger than the set interval temperature difference is determined, and if the number is larger than N (N is 3), the number of the subregion is extracted, and it is indicated that foreign matter is attached to the subregion.
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 adhesion judgment module detects that sundries are adhered to the photovoltaic panel, 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 Q (∑ Q) generated by the sub-areas with the sundries attached to the sub-areas in equal interval time periodsitHeat Q generated by foreign matter in each sub-areaitCm (wit-wi (T-1)), c representing the specific heat capacity of the photovoltaic panel, m representing the mass of the photovoltaic panel per sub-area, wit representing the bulk of the photovoltaic panel during the tth equally spaced time period TTemperature, wi (T-1) is expressed as the bulk temperature of the photovoltaic panel in units of J for the T-1 st 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 overall corresponding maximum power Pmax of the photovoltaic panel, and sequentially analyzing the generated electric energy W of the photovoltaic panelProduct produced by birthPmax T and output power WGo outUIT, U, I are respectively denoted as output voltage and current of the photovoltaic panel;
v3 formula of damage model according to photovoltaic panelAnalyzing the damage coefficient of the photovoltaic panel under the influence of the impurities, wherein phi represents the damage coefficient of the photovoltaic panel at each equal interval time period, f represents the number of the subregions with the impurities attached, lambda represents the damage factor, 1 < lambda < 2, and d represents the total number of the subregions on the photovoltaic panel.
The damage coefficient of the photovoltaic panel indicates 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, and the longer the same impurity is adhered to the photovoltaic panel along with the accumulation of time, the more serious the damage 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 triggering 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 the photovoltaic panel for 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, and if so, sending a shielding triggering 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 and reducing the photoelectric conversion efficiency, the service life of the photovoltaic panel is prolonged, the photoelectric output conversion rate is analyzed according to the maximum power of the photovoltaic panel for converting light energy into electric energy and the output power of the photovoltaic panel, the photoelectric output conversion rate is equal to the ratio of the maximum power of the photovoltaic panel for converting light energy into electric energy under the current illumination intensity to the output power of the photovoltaic panel, and when the photoelectric output conversion rate is smaller than the set lower limit of the conversion rate, the data processing module sends voice broadcast reminding to remind a user of replacing or maintaining the photovoltaic panel so as to ensure that the photovoltaic panel can normally convert light energy into electric energy.
The guiding and clearing module is arranged at the upper end of the photovoltaic panel and used for receiving the cleaning triggering instruction sent by the data processing module, the sundries attached to the surface of the photovoltaic panel are removed, the photovoltaic panel is ensured to work normally, hot spots on the surface of the photovoltaic panel are avoided, the guide removal module 1 is arranged on the photovoltaic panel 3, the guide removal module 1 comprises an installation frame 11, a limit fixing plate 12, a guide rod 13, an electric push rod 14, a limit guide frame 15 and a removal mechanism 16, the installation frame 11 is fixedly arranged on the lower end surface of the photovoltaic panel 3, the photovoltaic panel installing and fixing device is used for installing and fixing a photovoltaic panel 3, four limiting fixing plates 12 are fixed to two sides of an installing frame 11, guide rods 13 are fixed between the two limiting fixing plates 12, a hinge seat 121 and an electric push rod 14 are fixed to the limiting fixing plates 12, a limiting guide frame 15 is fixed to the outer end face of each limiting fixing plate 12, a groove 151 is formed in each limiting guide frame 15, and an arc-shaped groove 152 is formed in the side face of each limiting guide frame 15.
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 expansion 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, the output shaft of the motor 167 is fixed with a transmission gear 168, the transmission gear 168 is meshed with a transmission cleaning belt 169, the transmission cleaning belt 169 is composed of a plurality of transmission chains, the adjacent transmission chains are hinged, a cleaning brush is fixed on the lower end face of the transmission cleaning belt 169 and used for cleaning dust on the surface of the photovoltaic panel 3 after impurities are removed, the rotation directions and the rotation speeds of the two motors 167 are the same, when the motors 167 work, the transmission gear 168 is driven to work, and the transmission gear 168 works to drive the transmission cleaning belt 169 to move along the track of the transmission cleaning belt 169 so as to clean the dust on the photovoltaic panel 3.
The protective shielding modules are respectively arranged at the left side and the right side of the photovoltaic panel and used for receiving a shielding triggering instruction sent by the data processing module to shield the photovoltaic panel and avoid rainwater from corroding the photovoltaic panel, each protective shielding module 2 comprises a rain shield 21, a third electric telescopic rod 22, a limiting plate 23 and a sliding block 24, rubber pads are pasted on opposite surfaces of the two rain shields 21 to avoid rain leakage at the closed part of the two rain shields 21, the lower end surface of each rain shield 21 is hinged with the two third electric telescopic rods 22 and is fixedly provided with the limiting plate 23, the third electric telescopic rods 22 are hinged with the hinge seats 121, the limiting plates 23 are in sliding fit with the grooves 151, the sliding blocks 24 in sliding fit with the arc-shaped grooves 152 are fixed on the limiting plates 23, when raining, the third electric telescopic rods 22 extend, the limiting plates 23 are arranged in the grooves 151 and the sliding blocks 24 are under the combined action of the arc-shaped grooves 152 to push the rain shields 21 to rotate along the tracks, and finishing the rain shielding operation until the two rain shielding plates 21 are contacted, wherein the length of the third electric telescopic rod 22 is gradually increased in the process from the vertical state to the rain shielding state of the rain shielding plates 21.
The module is clear away through the guide and handles debris etc. on the photovoltaic board 3, reduces debris and attaches to and cause the spot to appear in the photovoltaic board on the photovoltaic board for a long time, reduces the life of photovoltaic board, and when raining, shelters from the module through the protection and shelters from the rainwater, avoids the rainwater to accelerate ageing and the corruption of photovoltaic board.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (7)
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 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 the unit maximum power generated by the photovoltaic panel in the unit area from the illumination intensity association table, extracting the area of the photovoltaic panel to analyze the maximum power Pmax corresponding to the whole photovoltaic panel, meanwhile, receiving the output current and the voltage after the photovoltaic panel converts the light energy into the electric energy which are respectively sent by the current collection module and the voltage collection module, counting the output power of the photovoltaic panel according to a power calculation formula P which is UI, and respectively sending the maximum power of the photovoltaic panel which converts the light energy into the electric energy and the output power of the photovoltaic panel to the adhesion judgment module and the data processing module;
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 the 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 coefficient 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 the sundries on the photovoltaic panel and the damage coefficient of the sundries to the photovoltaic panel sent by the attachment judging module, judging whether the damage coefficient of the photovoltaic panel is larger than a set damage coefficient threshold value or not, if so, sending a cleaning triggering instruction to the guiding and removing module to remove the sundries attached to the surface of the photovoltaic panel, receiving the rainfall sent by the data analyzing module and the maximum power of the photovoltaic panel for converting the light energy into the electric energy and the output power of the photovoltaic panel sent by the receiving and converting analyzing module, comparing the received rainfall with the set rainfall threshold value, if so, sending a shielding triggering instruction to the shielding and shielding module, analyzing the photoelectric output conversion rate according to the maximum power of the photovoltaic panel for converting the light energy into the electric energy and the output power of the photovoltaic panel, and when the photoelectric output conversion rate is smaller than the set lower limit of the conversion rate, and the data processing module sends a voice broadcast prompt.
2. The solar photovoltaic panel intelligent detection and processing system based on big data according to claim 1, characterized in that: the method for judging whether the photovoltaic panel has sundries by the adhesion judging module specifically comprises the following steps:
s1, respectively 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, where i is 1,2, a., d, T is 1,2, a., r, d is the number of 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 temperature difference of the body in the next equal interval time of the same subregion with the temperature difference of the body in the last equal interval time to obtain an interval temperature difference delta wit which is 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;
s4, the number of times that the interval temperature difference Δ wit in the same subregion is larger than the set interval temperature difference is determined, and if the number is larger than N (N is 3), the number of the subregion is extracted, and it is indicated that foreign matter is attached to the subregion.
3. The solar photovoltaic panel intelligent detection and processing system based on big data according to claim 1, characterized in that: when the adhesion judgment module detects that sundries are adhered to the photovoltaic panel, 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 at equal intervals;
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 overall corresponding maximum power Pmax of the photovoltaic panel, and sequentially analyzing the generated electric energy W of the photovoltaic panelProduct produced by birthPmax T and output power WGo outUIT, U, I are respectively denoted as output voltage and current of the photovoltaic panel;
v3 formula of damage model according to photovoltaic panelAnalyzing the damage coefficient of the photovoltaic panel under the influence of the impurities, wherein phi represents the damage coefficient of the photovoltaic panel at each equal interval time period, f represents the number of the subregions with the impurities attached, lambda represents the damage factor, 1 < lambda < 2, and d represents the total number of the subregions on the photovoltaic panel.
4. The solar photovoltaic panel intelligent detection processing system based on big data as claimed in claim 3, wherein the total heat Q generated by the sub-area in equal interval time is ∑ QitHeat Q generated by foreign matter in each sub-areaitCm (wit-wi (T-1)), c denotes the specific heat capacity of the photovoltaic panel, m denotes the mass of the photovoltaic panel per sub-area, wit denotes the bulk temperature of the photovoltaic panel in the T-th equally spaced time period T, and wi (T-1) denotes the bulk temperature of the photovoltaic panel in the T-1-th equally spaced time period T, in J.
5. 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 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 spacing fixed plate (12), spacing guide frame (15) are fixed to spacing fixed plate (12) outer terminal surface, it has recess (151) to open on spacing guide frame (15), arc wall (152) have been opened to spacing guide frame (15) side, clearance mechanism (16) slidable mounting is on guide bar (13).
6. The solar photovoltaic panel intelligent detection and processing system based on big data according to claim 5, 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 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 height of the cleaning shovel (165) is adjusted by the first electric telescopic rod (164), the motor (167) is mounted on the top supporting plate (161) through a bearing, the output shaft of the motor (167) is fixed with a transmission gear (168), the transmission gear (168) is meshed with a transmission cleaning belt (169), the transmission cleaning belt (169) consists of a plurality of transmission chains, the adjacent transmission chains are hinged, and the lower end surface of the transmission cleaning belt (169) is fixed with a cleaning brush.
7. The solar photovoltaic panel intelligent detection and processing system based on big data according to claim 6, 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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