CN117749084B - Roof monocrystalline silicon building construction method and system - Google Patents
Roof monocrystalline silicon building construction method and system Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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Abstract
The invention relates to the field of building construction, and provides a roof monocrystalline silicon building construction method and system, wherein the method comprises the following steps: and obtaining a construction template of the roofing monocrystalline silicon photovoltaic panel, performing coating treatment to obtain a construction coating template, and then extracting a test template to be fixed on a bracket to obtain an illumination intensity sequence of test sun. According to the illumination intensity sequence, the illumination intensity of the test template is identified, the illumination angle is adjusted, the output current is monitored in real time to construct a test output current curve, the period electric energy value is calculated according to the curve change period and the illumination intensity, the electric energy meter is summarized, the electric energy average value is obtained through calculating the maximum output electric energy and the minimum output electric energy to serve as a stable value, the current electric energy output value is detected to judge whether the stable value is reached, if the current electric energy output value is not reached, the position of the test template is adjusted, and if the current electric energy output value is not reached, the photovoltaic panel construction treatment is carried out. The invention can improve the working efficiency of the roofing monocrystalline silicon photovoltaic panel.
Description
Technical Field
The invention relates to the field of building construction, in particular to a roof monocrystalline silicon building construction method and system.
Background
The roofing monocrystalline silicon photovoltaic panel is solar photovoltaic power generation equipment, is made of monocrystalline silicon materials, is usually installed on a roof or an outer wall of a building, converts light energy in sunlight into electric energy through absorbing the electric energy, and supplies the electric energy to the power demand of the building or is injected into a power grid for distribution and utilization.
The existing roof monocrystalline silicon photovoltaic panel construction method mainly ensures that a roof structure can bear the weight of a photovoltaic panel and has good sunlight conditions through determining the installation position, cleans an installation area, ensures that no other sundries affect the power generation efficiency of the photovoltaic panel, installs photovoltaic brackets, fixes the photovoltaic brackets on a roof, installs the photovoltaic panels on the brackets one by one, performs necessary connection work, ensures that a photovoltaic system generates power normally, and because the installation position of the photovoltaic panel needs to be adjusted according to a certain angle to acquire the optimal solar radiation angle, the construction difficulty is increased, and therefore, an innovative roof monocrystalline silicon photovoltaic panel construction method is needed to further improve the work efficiency of the roof monocrystalline silicon photovoltaic panel.
Disclosure of Invention
The invention provides a roof monocrystalline silicon building construction method and system, and mainly aims to improve the working efficiency of a roof monocrystalline silicon photovoltaic panel.
In order to achieve the above purpose, the invention provides a roofing monocrystalline silicon building construction method, which comprises the following steps:
Obtaining a construction template corresponding to a roof monocrystalline silicon photovoltaic panel, performing coating treatment on the construction template to obtain a construction coating template, and extracting a test template in the construction coating template;
The test template is fixed on a preset fixed support to obtain an illumination intensity sequence of test sun, and the illumination intensity of the test sun corresponding to the test template is identified based on the illumination intensity sequence;
Adjusting the illumination angle of the test template based on the test solar illumination intensity, monitoring the real-time output current of the test template, and constructing a test output current curve corresponding to the test template based on the real-time output current;
Identifying a curve change period in the test output current curve, calculating a periodic electric energy value corresponding to the test template based on the curve change period and the test solar illumination intensity, and carrying out energy summarization on the periodic electric energy value to generate a summarized electric energy meter corresponding to the test template;
identifying the corresponding maximum output electric energy and the minimum output electric energy in the summarized electric energy meter, calculating an electric energy average value corresponding to the test template based on the maximum output electric energy and the minimum output electric energy, and taking the electric energy average value as an electric energy output stable value of the test template;
Detecting the current electric energy output value of the test template, and judging whether the electric energy output value reaches a current output stable value or not;
If the current real-time current output does not reach the current output stable value, returning to the step of adjusting the specific position of the test template;
and if the current real-time current output reaches the current output stable value, executing the construction treatment of the roofing monocrystalline silicon photovoltaic panel.
Optionally, the coating treatment is performed on the construction template to obtain a construction coating template, which comprises the following steps:
Inquiring a coating requirement corresponding to the construction template, and identifying a requirement element in the coating requirement;
determining a coating area corresponding to the construction template based on the requirement element;
determining a coating material corresponding to the construction template based on the coating region;
And spraying the coating material onto the construction template by using preset spraying equipment to obtain the construction coating template.
Optionally, the fixing the test template on a preset fixing support to obtain a sequence of illumination intensity of the test sun includes:
Identifying a template specification of the test template;
Determining a fixed bracket corresponding to the test template based on the template specification;
Fixing the test template on the fixed support, and determining a test position corresponding to the test template;
And based on the test position, performing an intensity sequence test on the test template by using a preset illumination measuring tool to obtain an illumination intensity sequence of the test sun.
Optionally, the identifying the test solar illumination intensity corresponding to the test template based on the illumination intensity sequence includes:
identifying an illumination intensity parameter in the illumination intensity sequence;
marking an illumination intensity label corresponding to the illumination intensity parameter;
Extracting template features corresponding to the test template based on the illumination intensity label;
and identifying the test sunlight illumination intensity corresponding to the test template based on the template characteristics.
Optionally, the constructing a test output current curve corresponding to the test template based on the real-time output current includes:
determining a test load corresponding to the real-time output current;
inquiring the acquisition time interval in the test template based on the test load;
recording a current factor in the real-time output current based on the acquisition time interval;
and constructing a test output current curve corresponding to the test template based on the current factor.
Optionally, the calculating, based on the curve change period and the test solar illumination intensity, a period electric energy value corresponding to the test template includes:
calculating the periodic electric energy value corresponding to the test template by using the following formula:
；
Wherein E represents a periodic electric energy value corresponding to the test template, I represents a change sub-period corresponding to the test template, S represents the test solar illumination intensity, t represents time, and P represents the curve change period; dt represents the length of each minute time interval.
Optionally, the step of performing energy summarizing on the periodic electric energy value to generate a summarized electric energy meter corresponding to the test template includes:
acquiring a periodic electric energy value list corresponding to the periodic electric energy value;
Constructing a test table corresponding to the test template based on the periodic electric energy value list;
Extracting list data in the periodic electric energy value list, and importing the list data into the test table;
traversing the test meter and identifying a test electric energy value in the test meter;
And generating a summary electric energy meter corresponding to the test template based on the test electric energy value.
Optionally, the identifying the corresponding maximum output power and minimum output power in the summarized electric energy meter includes:
acquiring electric energy data in the summarized electric energy meter;
constructing a time window corresponding to the summarized electric energy meter based on the electric energy data;
Identifying an amount of change in the electrical energy of the electrical energy data in the time window;
inquiring a maximum variation window and a minimum variation window in the time window based on the electric energy variation;
and extracting the maximum output electric energy and the minimum output electric energy in the maximum variation window and the minimum variation window.
Optionally, the calculating, based on the maximum output electrical energy and the minimum output electrical energy, an electrical energy average value corresponding to the test template includes:
Calculating the average value of the electric energy corresponding to the test template by using the following formula:
；
Wherein Dp represents the average value of the electric energy corresponding to the test template, N represents the number of samples corresponding to the test template, E (i) represents the output electric energy of the ith sample, i represents the index of the samples, Representing the minimum output electrical energy of the device,Representing the maximum output power.
In order to solve the above problems, the present invention also provides a roofing single crystal silicon building construction system, the system comprising:
The template extraction module is used for obtaining a construction template corresponding to the roof monocrystalline silicon photovoltaic panel, coating the construction template to obtain a construction coating template, and extracting a test template in the construction coating template;
The illumination intensity identification module is used for fixing the test template on a preset fixing support to obtain an illumination intensity sequence of the test sun, and identifying the illumination intensity of the test sun corresponding to the test template based on the illumination intensity sequence;
The current curve construction module is used for adjusting the illumination angle of the test template based on the test solar illumination intensity, monitoring the real-time output current of the test template, and constructing a test output current curve corresponding to the test template based on the real-time output current;
the electric energy meter generating module is used for identifying a curve change period in the test output current curve, calculating a periodic electric energy value corresponding to the test template based on the curve change period and the test solar illumination intensity, and carrying out energy summarization on the periodic electric energy value to generate a summarized electric energy meter corresponding to the test template;
the average value calculation module is used for identifying the corresponding maximum output electric energy and the minimum output electric energy in the summarized electric energy meter, calculating the electric energy average value corresponding to the test template based on the maximum output electric energy and the minimum output electric energy, and taking the electric energy average value as an electric energy output stable value of the test template;
The detection judging module is used for detecting the current electric energy output value of the test template and judging whether the electric energy output value reaches a current output stable value or not; if the current real-time current output does not reach the current output stable value, returning to the step of adjusting the specific position of the test template; and if the current real-time current output reaches the current output stable value, executing the construction treatment of the roofing monocrystalline silicon photovoltaic panel.
The invention can improve the performance and reliability of a photovoltaic system by acquiring a construction template corresponding to a roofing monocrystalline silicon photovoltaic panel, carrying out coating treatment on the construction template to obtain a construction coating template, improving the weather resistance, light absorption capacity, appearance, self-cleaning performance and mechanical strength of the photovoltaic panel, and further improving the performance and reliability of the photovoltaic system. The solar energy can be converted into electric energy, and reliable clean energy is provided. When the current output is stable, the photovoltaic panel is indicated to work normally, stable electric energy can be continuously generated, and reliable energy supply is provided for houses, buildings or other places. Therefore, the construction method and the construction system for the roof monocrystalline silicon are provided to improve the working efficiency of the roof monocrystalline silicon photovoltaic panel.
Drawings
FIG. 1 is a schematic flow chart of a construction method of roof monocrystalline silicon in accordance with an embodiment of the present invention;
FIG. 2 is a schematic block diagram of a roofing single crystal silicon construction system according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an internal structure of an electronic device according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a roof monocrystalline silicon building construction method. The execution main body of the roofing monocrystalline silicon building construction method comprises, but is not limited to, at least one of a service end, a terminal and the like which can be configured to execute the method provided by the embodiment of the application. In other words, the roofing single crystal silicon building construction method can be executed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flow chart of a construction method of roof monocrystalline silicon according to an embodiment of the invention is shown. In this embodiment, the method for constructing a roof monocrystalline silicon building includes:
s1, obtaining a construction template corresponding to a roof monocrystalline silicon photovoltaic panel, performing coating treatment on the construction template to obtain a construction coating template, and extracting a test template in the construction coating template.
According to the invention, the construction template corresponding to the roofing monocrystalline silicon photovoltaic panel is obtained, and the construction template is subjected to coating treatment to obtain the construction coating template, so that the weather resistance, light absorption capacity, appearance, self-cleaning performance and mechanical strength of the photovoltaic panel can be improved, and the performance and reliability of a photovoltaic system are improved.
The construction template is a sample of a roof monocrystalline silicon photovoltaic panel manufactured according to design requirements before the photovoltaic system is constructed; the construction coating template refers to a sample obtained after coating treatment is carried out on the construction template.
As an embodiment of the present invention, the coating treatment is performed on the construction template to obtain a construction coating template, which includes: inquiring a coating requirement corresponding to the construction template, and identifying a requirement element in the coating requirement; determining a coating area corresponding to the construction template based on the requirement element; determining a coating material corresponding to the construction template based on the coating region; and spraying the coating material onto the construction template by using preset spraying equipment to obtain the construction coating template.
Wherein, the coating requirement refers to the requirement and function of the coating on the construction template, including the type (such as ultraviolet-proof coating, corrosion-resistant coating, etc.), thickness, color, and the functional requirement of the photovoltaic panel, such as improving the light conversion efficiency, increasing the reflection, etc.; the requirement element refers to a specific requirement or feature in the coating requirement, such as: color, texture, transparency, etc.; the coating area refers to a specific area or part which needs coating treatment on the construction template, and the boundary and the range of the coating can be determined according to the requirement elements; the coating material refers to specific substances used for constructing sample plate coatings, such as: polymer coatings, specialty coatings, and the like; the preset spraying device refers to preset and adjusted devices, such as: coating applicators, hand-held applicators, and the like.
Further, the coating requirements can be achieved by thermal conduction theory and finite element methods; the requirement element may be obtained by a data mining algorithm implementation, such as: clustering algorithms, classification algorithms, etc.; the coating region may be obtained by a deep learning model implementation, such as: models such as Marx, R-CNN and the like; the coating material may be obtained by high-throughput computing, such as: AFLOW, OQMD, etc.
The invention can realize the benefits of quality control, performance evaluation, problem analysis, optimization improvement, reference sample provision and the like by extracting the test template in the construction coating template, and is beneficial to improving the quality, performance and reliability of the coating.
Wherein the test template refers to a representative sample extracted from a construction coating template, and optionally, the test template can be obtained by a numerical simulation method, such as: FEA, CFD, etc.
S2, fixing the test template on a preset fixing support to obtain an illumination intensity sequence of the test sun, and identifying the illumination intensity of the test sun corresponding to the test template based on the illumination intensity sequence.
According to the invention, the test template is fixed on the preset fixed support to obtain the illumination intensity sequence of the test sun, so that the change trend of the coating under different illumination conditions can be analyzed, the illumination resistance of the coating can be evaluated, the performance and weather resistance of the coating can be evaluated more accurately, and the repeatability and comparability of the test result are ensured.
The preset fixing support is a photovoltaic support which is determined in advance according to experimental design or test requirements; the illumination intensity sequence refers to data of solar illumination recorded over a given period of time.
As an embodiment of the present invention, the fixing the test template on a preset fixing bracket to obtain a sequence of illumination intensities of the test sun includes: identifying a template specification of the test template;
Determining a fixed bracket corresponding to the test template based on the template specification; fixing the test template on the fixed support, and determining a test position corresponding to the test template; and based on the test position, performing an intensity sequence test on the test template by using a preset illumination measuring tool to obtain an illumination intensity sequence of the test sun.
Wherein, the template specification refers to the size, shape, material and other attributes of the test sample plate, and is used for describing the specific position of the test sample plate; the test position refers to a specific place where the test template is placed; the illumination measurement tool refers to an instrument or device for measuring illumination intensity, such as: a mobile phone such as a photometer, an illumination apparatus, a spectrum radiometer and the like; the testing of the sun means that the illumination measuring tool is used for measuring and recording the illumination intensity of the sun.
Further, the template specification may be obtained by CAD tool implementation, such as: autodesk AutoCAD, solidWorks and other tools; the test position may be obtained by a lighting simulation tool, such as: radiance, DIALux, etc.
Based on the illumination intensity sequence, the invention identifies the test sun illumination intensity corresponding to the test template, can reveal the change rule and trend of the illumination intensity in different time periods, can improve the test accuracy, the automation degree and the instantaneity, and can provide more useful information for further data analysis.
Wherein, the test solar illumination intensity refers to the solar illumination scale used in carrying out a certain test or experiment, and represents the intensity level of solar illumination at a specific time and place.
As one embodiment of the present invention, the identifying the test solar illumination intensity corresponding to the test template based on the illumination intensity sequence includes: identifying an illumination intensity parameter in the illumination intensity sequence; marking an illumination intensity label corresponding to the illumination intensity parameter; extracting template features corresponding to the test template based on the illumination intensity label; and identifying the test sunlight illumination intensity corresponding to the test template based on the template characteristics.
Wherein, the illumination intensity parameter refers to a related characteristic parameter extracted from an illumination intensity sequence, such as: average, maximum, minimum, volatility, etc.; the illumination intensity label refers to classifying the illumination intensity parameters into various grades and representing the grades by the label; the template features refer to features related to the test template extracted from the illumination intensity label.
Further, the illumination intensity parameter may be obtained through a statistical analysis tool, such as: numPy and Pandas in MATLAB, python, etc.; the illumination intensity label can be obtained through a machine learning algorithm, such as: algorithms such as decision trees, support vector machines, random forests and the like; the template features may be obtained by feature extraction algorithms, such as: PCA, LDA, LBP, etc.
S3, adjusting the illumination angle of the test template based on the test solar illumination intensity, monitoring the real-time output current of the test template, and constructing a test output current curve corresponding to the test template based on the real-time output current.
The invention adjusts the illumination angle of the test template based on the test solar illumination intensity and monitors the real-time output current of the test template, thereby being capable of helping to optimize the performance of the solar cell panel and monitor the running state of the solar system in real time, being beneficial to improving the solar energy utilization efficiency, prolonging the service life of equipment and providing convenience for system fault diagnosis and maintenance.
Wherein, the illumination angle refers to an included angle between solar rays and the test template; the real-time output current refers to the current generated by the solar panel in a real-time working state.
Alternatively, the illumination angle may be obtained by a rendering tool implementation, such as: blender, maya, 3ds Max, etc.; the real-time output current can be obtained by a current monitoring tool, such as: tools such as an ammeter, an ammeter sensor, an ammeter monitoring module and the like.
The invention constructs the test output current curve corresponding to the test template based on the real-time output current, can know the current change condition of the test template under different working conditions, and provides reference and basis for the subsequent design improvement, thereby knowing the difference of the test template in terms of current output capacity, precision and stability.
The test output current curve refers to a curve chart of the measured or recorded test template output current value which changes along with time.
As an embodiment of the present invention, the constructing a test output current curve corresponding to the test template based on the real-time output current includes: determining a test load corresponding to the real-time output current; inquiring the acquisition time interval in the test template based on the test load; recording a current factor in the real-time output current based on the acquisition time interval; and constructing a test output current curve corresponding to the test template based on the current factor.
Wherein, the test load refers to the load connected to the test template when the current test is performed; the acquisition time interval is the time interval between two continuous acquisitions when current data acquisition is performed; the current factor refers to a real-time output current value recorded during current test.
Further, the test load may be obtained by a circuit simulation tool implementation, such as: PSPICE, LTspice, etc.; the acquisition time interval may be obtained by a data acquisition tool, such as: a DAQ tool; the current factor may be obtained by a mathematical model implementation, such as: ohm's law, voltage division law, etc.
And S4, identifying a curve change period in the test output current curve, calculating a periodic electric energy value corresponding to the test template based on the curve change period and the test solar illumination intensity, and carrying out energy summarization on the periodic electric energy value to generate a summarized electric energy meter corresponding to the test template.
The invention can deeply analyze the current characteristics, evaluate the circuit stability, perform fault diagnosis, optimize design and control, and predict and early warn by identifying the curve change period in the test output current curve so as to realize better current stability and performance.
Wherein the curve change period refers to a specific pattern or form repeatedly appearing in the current curve, and the pattern continuously and repeatedly appears in the whole curve, alternatively, the curve change period can be obtained through a time sequence analysis model, such as: ARIMA model, periodic model, etc.
According to the invention, based on the curve change period and the test solar illumination intensity, the periodic electric energy value corresponding to the test template is calculated, and the capacity and the charge-discharge strategy of the energy storage system can be determined so as to store redundant energy in a low-load period and release the stored energy in a high-load period, thereby realizing the balance and the optimal utilization of energy sources.
Wherein the periodic power value refers to the total power consumed or generated by the circuit or system during a specified period of time.
As one embodiment of the present invention, the calculating, based on the curve change period and the test solar illumination intensity, the periodic electric energy value corresponding to the test template includes:
calculating the periodic electric energy value corresponding to the test template by using the following formula:
；
Wherein E represents a periodic electric energy value corresponding to the test template, I represents a change sub-period corresponding to the test template, S represents the test solar illumination intensity, t represents time, and P represents the curve change period; dt represents the length of each minute time interval.
According to the invention, the energy summary is carried out on the periodic electric energy values to generate the summarized electric energy meter corresponding to the test template, so that more comprehensive data analysis can be provided, the electric energy consumption conditions among different test templates are compared, the calculation efficiency, the accuracy and the data analysis capability can be improved, and the system design is optimized and the test method is improved.
The summarized electric energy meter is used for recording and summarizing periodic electric energy values.
According to one embodiment of the present invention, the step of summarizing the energy of the periodic electric energy values to generate a summarized electric energy meter corresponding to the test template includes: acquiring a periodic electric energy value list corresponding to the periodic electric energy value; constructing a test table corresponding to the test template based on the periodic electric energy value list; extracting list data in the periodic electric energy value list, and importing the list data into the test table; traversing the test meter and identifying a test electric energy value in the test meter; and generating a summary electric energy meter corresponding to the test template based on the test electric energy value.
Wherein the periodic electric energy value list refers to a set of periodic electric energy values in the test template;
further, the periodic power value list may be obtained by simulation means, such as: PSCAD, EMTP and other tools; the test table may be obtained through a data processing library implementation, such as: pandas, numPy, dataFrames, etc.; the list data may be obtained by a time series prediction model implementation, such as: ARIMA, SARIMA, LSTM, etc.; the test power value may be obtained by a data aggregation algorithm, such as: weighted average, max/min, etc.
S5, identifying the maximum output electric energy and the minimum output electric energy corresponding to the summarized electric energy meter, calculating an electric energy average value corresponding to the test template based on the maximum output electric energy and the minimum output electric energy, and taking the electric energy average value as an electric energy output stable value of the test template.
According to the invention, through identifying the corresponding maximum output electric energy and the minimum output electric energy in the summarized electric energy meter, the load peak-valley period can be determined, and the load adjustment and optimization are performed, so that the peak load is reduced, the energy utilization efficiency is improved, and the energy cost is reduced.
The maximum output electric energy refers to the highest peak power output recorded by the electric energy meter in a specific time period; the minimum output power refers to the lowest valley power output recorded by the electric energy meter in a specific time period.
As one embodiment of the present invention, the identifying the corresponding maximum output power and minimum output power in the summarized electric energy meter includes: acquiring electric energy data in the summarized electric energy meter; constructing a time window corresponding to the summarized electric energy meter based on the electric energy data; identifying an amount of change in the electrical energy of the electrical energy data in the time window; inquiring a maximum variation window and a minimum variation window in the time window based on the electric energy variation; and extracting the maximum output electric energy and the minimum output electric energy in the maximum variation window and the minimum variation window.
The electric energy data refer to the data of electric energy consumption or generation recorded in the summarized electric energy meter; the time window refers to a time period for segmenting the electric energy data according to a fixed time length; the electric energy variation is the difference value between the electric energy data in each time window; the maximum variation window refers to a time window with the maximum electric energy variation; the minimum variation window refers to a time window with a minimum variation of electric energy.
Further, the electric energy data can be obtained through multiple regression model realization; the time window may be obtained by a sliding average algorithm implementation, such as: SMA, WMA, EMA and other algorithms; the electric energy variation can be obtained through an LSTM neural network model; the maximum variation window and the minimum variation window may be obtained by a peak-to-valley detection algorithm, for example: peak detection algorithm, valley detection algorithm, derivative change detection algorithm, etc.
As one embodiment of the present invention, the calculating, based on the maximum output power and the minimum output power, an average power value corresponding to the test template includes:
Calculating the average value of the electric energy corresponding to the test template by using the following formula:
；
Wherein Dp represents the average value of the electric energy corresponding to the test template, N represents the number of samples corresponding to the test template, E (i) represents the output electric energy of the ith sample, i represents the index of the samples, Representing the minimum output electrical energy of the device,Representing the maximum output power.
Furthermore, the invention can provide a stable reference by taking the electric energy average value as the electric energy output stable value of the test template, reduce the influence of noise and fluctuation, simplify the monitoring and control process and improve the reliability and consistency of the test template.
Wherein, the stable value of electric energy output refers to the average value of electric energy output of the test template in a certain period of time, optionally, the stable value of electric energy output can be obtained through a statistical tool, such as: SPSS, R, python, SAS, etc.
S6, detecting the electric energy output value of the current test template, and judging whether the electric energy output value reaches a current output stable value or not.
According to the invention, by detecting the electric energy output value of the current test template and judging whether the electric energy output value reaches the current output stable value, the electric energy output value can be monitored in real time, so that the current state can be known at any time, and the abnormal situation can be handled in time.
Wherein, the electric energy output value refers to the current electric energy output value obtained by measurement or calculation in a specific electric power system or equipment; the current output stable value refers to a value at which the current output is kept stable in a specific power system or device.
Alternatively, the power output value may be obtained by an intelligent algorithm, such as: linear regression, support vector machine regression, etc.; the current output stable value can be obtained through a stable algorithm, such as: gradient descent method, relaxation iteration method, kalman algorithm, etc.
And S7, returning to the step of adjusting the specific position of the test template if the current real-time current output does not reach the current output stable value.
In the invention, if the current real-time current output does not reach the current output stable value, the step of adjusting the specific position of the test template is returned, so that the benefits of current output stability, system performance optimization, energy consumption reduction, production efficiency enhancement and the like can be provided, the stable operation of the system can be ensured, and the set current output requirement can be met.
The specific position refers to an illumination angle and can be expressed as an included angle between solar rays and the test template.
Alternatively, the illumination angle may be obtained by a rendering tool implementation, such as: blender, maya, 3ds Max, etc.
And S8, if the current real-time current output reaches the current output stable value, executing the construction treatment of the roofing monocrystalline silicon photovoltaic panel.
In the invention, if the current real-time current output reaches the current output stable value, the construction treatment of the roofing monocrystalline silicon photovoltaic panel is executed, so that solar energy can be converted into electric energy, and reliable clean energy is provided. When the current output is stable, the photovoltaic panel is indicated to work normally, stable electric energy can be continuously generated, and reliable energy supply is provided for houses, buildings or other places.
The construction treatment refers to the process of processing, installing, debugging or maintaining the roofing monocrystalline silicon photovoltaic panel in the building construction process.
Optionally, the construction process is used for debugging the roofing monocrystalline silicon photovoltaic panel, so that normal operation of the roofing monocrystalline silicon photovoltaic panel is ensured, current and voltage parameters of a photovoltaic system can be checked and optimized through debugging, so that energy conversion efficiency is improved, angle and orientation of the photovoltaic panel can be adjusted, sunlight is captured to the greatest extent, and output of photovoltaic power generation is improved.
The invention can improve the performance and reliability of a photovoltaic system by acquiring a construction template corresponding to a roofing monocrystalline silicon photovoltaic panel, carrying out coating treatment on the construction template to obtain a construction coating template, improving the weather resistance, light absorption capacity, appearance, self-cleaning performance and mechanical strength of the photovoltaic panel, and further improving the performance and reliability of the photovoltaic system. The solar energy can be converted into electric energy, and reliable clean energy is provided. When the current output is stable, the photovoltaic panel is indicated to work normally, stable electric energy can be continuously generated, and reliable energy supply is provided for houses, buildings or other places. Therefore, the construction method and the construction system for the roof monocrystalline silicon are provided to improve the working efficiency of the roof monocrystalline silicon photovoltaic panel.
Fig. 2 is a schematic block diagram of a method and a system for constructing a roof monocrystalline silicon building according to an embodiment of the invention.
The roofing monocrystalline silicon building construction system 200 of the present invention may be installed in an electronic device. According to the functions, the roofing monocrystalline silicon building construction system 200 may include a template extraction module 201, an illumination intensity identification module 202, a current curve construction module 203, an electric energy meter generation module 204, an average calculation module 205, and a detection and judgment module 206. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the template extraction module 201 is configured to obtain a construction template corresponding to a roofing monocrystalline silicon photovoltaic panel, perform coating treatment on the construction template to obtain a construction coating template, and extract a test template in the construction coating template;
The illumination intensity identification module 202 is configured to fix the test template on a preset fixing support, so as to obtain an illumination intensity sequence of the test sun, and identify the illumination intensity of the test sun corresponding to the test template based on the illumination intensity sequence;
The current curve construction module 203 is configured to adjust an illumination angle of the test template based on the test solar illumination intensity, monitor a real-time output current of the test template, and construct a test output current curve corresponding to the test template based on the real-time output current;
The electric energy meter generating module 204 is configured to identify a curve change period in the test output current curve, calculate a periodic electric energy value corresponding to the test template based on the curve change period and the test solar illumination intensity, and perform energy summarization on the periodic electric energy value to generate a summarized electric energy meter corresponding to the test template;
The average value calculating module 205 is configured to identify a maximum output electric energy and a minimum output electric energy corresponding to the summarized electric energy meter, calculate an electric energy average value corresponding to the test template based on the maximum output electric energy and the minimum output electric energy, and use the electric energy average value as an electric energy output stable value of the test template;
The detection and judgment module 206 is configured to detect an electrical energy output value of the current test template, and judge whether the electrical energy output value reaches a current output stable value; if the current real-time current output does not reach the current output stable value, returning to the step of adjusting the specific position of the test template; and if the current real-time current output reaches the current output stable value, executing the construction treatment of the roofing monocrystalline silicon photovoltaic panel.
In detail, each module in the roofing monocrystalline silicon building construction system 200 in the embodiment of the present invention adopts the same technical means as the roofing monocrystalline silicon building construction method in the drawings, and can produce the same technical effects, which are not described herein.
Fig. 3 is a schematic diagram of the internal structure of an electronic device for implementing a roofing monocrystalline silicon building construction method according to the present invention.
The electronic device 1 may comprise a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may further comprise a computer program stored in the memory 31 and executable on the processor 30, such as an engineering safety supervisor based on artificial intelligence.
The processor 30 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 30 is a Control Unit (Control Unit) of the electronic device 1, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules (e.g., an artificial intelligence-based engineering safety supervision program, etc.) stored in the memory 31, and invokes data stored in the memory 31 to perform various functions of the electronic device and process the data.
The memory 31 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 31 may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory 31 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD) or the like, which are provided on the electronic device. Further, the memory 31 may also include both an internal storage unit and an external storage device of the electronic device. The memory 31 may be used not only for storing application software installed in an electronic device and various types of data, such as codes of a database-configured connection program, but also for temporarily storing data that has been output or is to be output.
The communication bus 32 may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 31 and at least one processor 30 or the like.
The communication interface 33 is used for communication between the electronic device 1 and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Fig. 3 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 30 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
It should be understood that the examples are for illustrative purposes only.
The database-configured connection program stored in the memory 31 in the electronic device 1 is a combination of a plurality of computer programs, which, when run in the processor 30, can implement:
Obtaining a construction template corresponding to a roof monocrystalline silicon photovoltaic panel, performing coating treatment on the construction template to obtain a construction coating template, and extracting a test template in the construction coating template;
The test template is fixed on a preset fixed support to obtain an illumination intensity sequence of test sun, and the illumination intensity of the test sun corresponding to the test template is identified based on the illumination intensity sequence;
Adjusting the illumination angle of the test template based on the test solar illumination intensity, monitoring the real-time output current of the test template, and constructing a test output current curve corresponding to the test template based on the real-time output current;
Identifying a curve change period in the test output current curve, calculating a periodic electric energy value corresponding to the test template based on the curve change period and the test solar illumination intensity, and carrying out energy summarization on the periodic electric energy value to generate a summarized electric energy meter corresponding to the test template;
identifying the corresponding maximum output electric energy and the minimum output electric energy in the summarized electric energy meter, calculating an electric energy average value corresponding to the test template based on the maximum output electric energy and the minimum output electric energy, and taking the electric energy average value as an electric energy output stable value of the test template;
Detecting the current electric energy output value of the test template, and judging whether the electric energy output value reaches a current output stable value or not;
If the current real-time current output does not reach the current output stable value, returning to the step of adjusting the specific position of the test template;
and if the current real-time current output reaches the current output stable value, executing the construction treatment of the roofing monocrystalline silicon photovoltaic panel.
In particular, the specific implementation method of the processor 30 on the computer program may refer to the description of the relevant steps in the corresponding embodiment of fig. 1, which is not repeated herein.
Further, the integrated modules/units of the electronic device 1 may be stored in a non-volatile computer readable storage medium if implemented in the form of software functional units and sold or used as a stand alone product. The storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
Obtaining a construction template corresponding to a roof monocrystalline silicon photovoltaic panel, performing coating treatment on the construction template to obtain a construction coating template, and extracting a test template in the construction coating template;
The test template is fixed on a preset fixed support to obtain an illumination intensity sequence of test sun, and the illumination intensity of the test sun corresponding to the test template is identified based on the illumination intensity sequence;
Adjusting the illumination angle of the test template based on the test solar illumination intensity, monitoring the real-time output current of the test template, and constructing a test output current curve corresponding to the test template based on the real-time output current;
Identifying a curve change period in the test output current curve, calculating a periodic electric energy value corresponding to the test template based on the curve change period and the test solar illumination intensity, and carrying out energy summarization on the periodic electric energy value to generate a summarized electric energy meter corresponding to the test template;
identifying the corresponding maximum output electric energy and the minimum output electric energy in the summarized electric energy meter, calculating an electric energy average value corresponding to the test template based on the maximum output electric energy and the minimum output electric energy, and taking the electric energy average value as an electric energy output stable value of the test template;
Detecting the current electric energy output value of the test template, and judging whether the electric energy output value reaches a current output stable value or not;
If the current real-time current output does not reach the current output stable value, returning to the step of adjusting the specific position of the test template;
and if the current real-time current output reaches the current output stable value, executing the construction treatment of the roofing monocrystalline silicon photovoltaic panel.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. The construction method of the roof monocrystalline silicon building is characterized by comprising the following steps:
Acquiring a construction template corresponding to a roof monocrystalline silicon photovoltaic panel, wherein the construction template refers to a sample of the roof monocrystalline silicon photovoltaic panel manufactured according to design requirements before the construction of a photovoltaic system; coating the construction template to obtain a construction coating template, and extracting a test template in the construction coating template;
The test template is fixed on a preset fixed support to obtain an illumination intensity sequence of test sun, wherein the illumination intensity sequence refers to the sun illumination data recorded in a given time period; based on the illumination intensity sequence, identifying the test solar illumination intensity corresponding to the test template;
Adjusting the illumination angle of the test template based on the test solar illumination intensity, monitoring the real-time output current of the test template, and constructing a test output current curve corresponding to the test template based on the real-time output current;
Identifying a curve change period in the test output current curve, calculating a periodic electric energy value corresponding to the test template based on the curve change period and the test solar illumination intensity, and carrying out energy summarization on the periodic electric energy value to generate a summarized electric energy meter corresponding to the test template;
identifying the corresponding maximum output electric energy and the minimum output electric energy in the summarized electric energy meter, calculating an electric energy average value corresponding to the test template based on the maximum output electric energy and the minimum output electric energy, and taking the electric energy average value as an electric energy output stable value of the test template;
Detecting the current electric energy output value of the test template, and judging whether the electric energy output value reaches a current output stable value or not;
If the current real-time current output does not reach the current output stable value, returning to the step of adjusting the illumination angle of the test template;
if the current real-time current output reaches the current output stable value, executing construction treatment of the roofing monocrystalline silicon photovoltaic panel;
the fixing the test template on a preset fixing support to obtain an illumination intensity sequence of the test sun comprises the following steps:
Identifying a template specification of the test template;
Determining a fixed bracket corresponding to the test template based on the template specification;
Fixing the test template on the fixed support, and determining a test position corresponding to the test template;
based on the test position, performing an intensity sequence test on the test template by using a preset illumination measuring tool to obtain an illumination intensity sequence of test sun;
the calculating the periodic electric energy value corresponding to the test template based on the curve change period and the test solar illumination intensity comprises the following steps:
calculating the periodic electric energy value corresponding to the test template by using the following formula:
；
Wherein E represents a periodic electric energy value corresponding to the test template, I represents a change sub-period corresponding to the test template, S represents the test solar illumination intensity, t represents time, and P represents the curve change period; dt represents the length of each minute time interval;
The step of summarizing the energy of the periodic electric energy values to generate a summarized electric energy meter corresponding to the test template comprises the following steps:
acquiring a periodic electric energy value list corresponding to the periodic electric energy value;
Constructing a test table corresponding to the test template based on the periodic electric energy value list;
Extracting list data in the periodic electric energy value list, and importing the list data into the test table;
traversing the test meter and identifying a test electric energy value in the test meter;
generating a summary electric energy meter corresponding to the test template based on the test electric energy value;
The identifying of the corresponding maximum output electric energy and minimum output electric energy in the summarized electric energy meter comprises the following steps:
acquiring electric energy data in the summarized electric energy meter;
constructing a time window corresponding to the summarized electric energy meter based on the electric energy data;
Identifying an amount of change in the electrical energy of the electrical energy data in the time window;
inquiring a maximum variation window and a minimum variation window in the time window based on the electric energy variation;
extracting maximum output electric energy and minimum output electric energy in the maximum variation window and the minimum variation window;
the calculating the average value of the electric energy corresponding to the test template based on the maximum output electric energy and the minimum output electric energy comprises the following steps:
Calculating the average value of the electric energy corresponding to the test template by using the following formula:
；
Wherein Dp represents the average value of the electric energy corresponding to the test template, N represents the number of samples corresponding to the test template, E (i) represents the output electric energy of the ith sample, i represents the index of the samples, Representing the minimum output power,/>Representing the maximum output power.
2. The method for constructing a roof monocrystalline silicon building of claim 1, wherein the coating treatment is performed on the construction template to obtain a construction coating template, and the method comprises the following steps:
Inquiring a coating requirement corresponding to the construction template, and identifying a requirement element in the coating requirement;
determining a coating area corresponding to the construction template based on the requirement element;
determining a coating material corresponding to the construction template based on the coating region;
And spraying the coating material onto the construction template by using preset spraying equipment to obtain the construction coating template.
3. The method for building construction of single crystal silicon on roof according to claim 1, wherein the identifying the test solar illumination intensity corresponding to the test template based on the illumination intensity sequence comprises:
identifying an illumination intensity parameter in the illumination intensity sequence;
marking an illumination intensity label corresponding to the illumination intensity parameter;
Extracting template features corresponding to the test template based on the illumination intensity label;
and identifying the test sunlight illumination intensity corresponding to the test template based on the template characteristics.
4. The method for constructing a single crystal silicon building construction on a roof according to claim 1, wherein the constructing a test output current curve corresponding to the test template based on the real-time output current comprises:
determining a test load corresponding to the real-time output current;
inquiring the acquisition time interval in the test template based on the test load;
recording a current factor in the real-time output current based on the acquisition time interval;
and constructing a test output current curve corresponding to the test template based on the current factor.
5. A roofing single crystal silicon building construction system for performing a roofing single crystal silicon building construction method according to any one of claims 1-4, the system comprising:
The template extraction module is used for obtaining a construction template corresponding to the roof monocrystalline silicon photovoltaic panel, coating the construction template to obtain a construction coating template, and extracting a test template in the construction coating template;
The illumination intensity identification module is used for fixing the test template on a preset fixing support to obtain an illumination intensity sequence of the test sun, and identifying the illumination intensity of the test sun corresponding to the test template based on the illumination intensity sequence;
The current curve construction module is used for adjusting the illumination angle of the test template based on the test solar illumination intensity, monitoring the real-time output current of the test template, and constructing a test output current curve corresponding to the test template based on the real-time output current;
the electric energy meter generating module is used for identifying a curve change period in the test output current curve, calculating a periodic electric energy value corresponding to the test template based on the curve change period and the test solar illumination intensity, and carrying out energy summarization on the periodic electric energy value to generate a summarized electric energy meter corresponding to the test template;
the average value calculation module is used for identifying the corresponding maximum output electric energy and the minimum output electric energy in the summarized electric energy meter, calculating the electric energy average value corresponding to the test template based on the maximum output electric energy and the minimum output electric energy, and taking the electric energy average value as an electric energy output stable value of the test template;
The detection judging module is used for detecting the current electric energy output value of the test template and judging whether the electric energy output value reaches a current output stable value or not; if the current real-time current output does not reach the current output stable value, returning to the step of adjusting the illumination angle of the test template; and if the current real-time current output reaches the current output stable value, executing the construction treatment of the roofing monocrystalline silicon photovoltaic panel.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107732963A (en) * | 2017-10-26 | 2018-02-23 | 成都亿伏科技有限公司 | A kind of photovoltaic module irradiates Forecasting Methodology |
| CN109756186A (en) * | 2018-12-26 | 2019-05-14 | 山东辰宇稀有材料科技有限公司 | A kind of test method that open air high-precision photovoltaic plant is detected and demarcated |
| CN115759820A (en) * | 2022-11-10 | 2023-03-07 | 广东华矩检测技术有限公司 | Photovoltaic power station loss assessment calculation method and system and storage medium |
| KR102579901B1 (en) * | 2022-12-07 | 2023-09-18 | 한국광기술원 | System and method for diagnosing photovoltaic power generation using i-v curve |
| CN116938134A (en) * | 2022-03-30 | 2023-10-24 | 国家电投集团数字科技有限公司 | Photovoltaic power station shielding monitoring method based on curve similarity |
| CN117010071A (en) * | 2023-08-16 | 2023-11-07 | 华润电力技术研究院有限公司 | Roof photovoltaic visual design method, system, equipment and medium |
| CN117169585A (en) * | 2023-09-12 | 2023-12-05 | 合肥中南光电有限公司 | Photovoltaic panel power test system |
-
2023
- 2023-12-07 CN CN202311670647.0A patent/CN117749084B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107732963A (en) * | 2017-10-26 | 2018-02-23 | 成都亿伏科技有限公司 | A kind of photovoltaic module irradiates Forecasting Methodology |
| CN109756186A (en) * | 2018-12-26 | 2019-05-14 | 山东辰宇稀有材料科技有限公司 | A kind of test method that open air high-precision photovoltaic plant is detected and demarcated |
| CN116938134A (en) * | 2022-03-30 | 2023-10-24 | 国家电投集团数字科技有限公司 | Photovoltaic power station shielding monitoring method based on curve similarity |
| CN115759820A (en) * | 2022-11-10 | 2023-03-07 | 广东华矩检测技术有限公司 | Photovoltaic power station loss assessment calculation method and system and storage medium |
| KR102579901B1 (en) * | 2022-12-07 | 2023-09-18 | 한국광기술원 | System and method for diagnosing photovoltaic power generation using i-v curve |
| CN117010071A (en) * | 2023-08-16 | 2023-11-07 | 华润电力技术研究院有限公司 | Roof photovoltaic visual design method, system, equipment and medium |
| CN117169585A (en) * | 2023-09-12 | 2023-12-05 | 合肥中南光电有限公司 | Photovoltaic panel power test system |
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