An intelligent measurement system and method for photoelectric conversion efficiency of perovskite photovoltaic modules
By collecting and analyzing the power generation data and environmental factors of perovskite photovoltaic modules, the accurate measurement of the power generation efficiency of perovskite photovoltaic modules and the analysis of environmental factors are achieved, which solves the problem of inability to intelligently process data in the existing technology and improves the perovskite photovoltaic modules. Measurement and application effects of power generation efficiency of mine photovoltaic modules.
Patent Information
- Application Number
- CN202411069395.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-06
- Publication Date
- 2024-12-13
- Estimated Expiration
- 2044-08-06
AI Technical Summary
The existing perovskite photovoltaic module power generation efficiency measurement processing can only perform simple power generation efficiency measurement and display monitoring, and cannot intelligently process data, resulting in the inability to analyze the real power generation efficiency factors of perovskite photovoltaic modules in different geographical environments, which reduces the Actual power generation application effect.
By collecting the power generation voltage, current, light intensity and environmental factor data of perovskite photovoltaic modules, performing numerical normalization processing and mean and standard deviation analysis, constructing factors that affect power generation efficiency to achieve accurate power generation efficiency measurement and environmental factor analysis.
The accurate measurement of the power generation efficiency of perovskite photovoltaic modules and environmental factor analysis are realized, the measurement accuracy and scientificity of photoelectric conversion efficiency are improved, and the impact of different regional environments on power generation efficiency is intelligently evaluated, and the application effect is improved.
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Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of photovoltaic power generation efficiency data processing, and in particular to an intelligent measurement system and method for the photoelectric conversion efficiency of a perovskite photovoltaic module. Background Art
[0002] Perovskite photovoltaic cells are solar cells that use perovskite-type organic metal halide semiconductors as light-absorbing materials. They belong to the third generation of solar cells, also known as new concept solar cells. The development of solar energy technology has roughly gone through three stages: the first generation of solar cells mainly refers to monocrystalline silicon and polycrystalline silicon solar cells, whose photoelectric conversion efficiency in the laboratory has reached 25% and 20.4% respectively; the second generation of solar cells mainly includes amorphous silicon thin film cells and polycrystalline silicon thin film cells. The third generation of solar cells mainly refers to some new concept batteries with high conversion efficiency, such as dye-sensitized cells, quantum dot cells and organic solar cells. However, the existing perovskite photovoltaic module power generation efficiency measurement and processing can only perform simple power generation efficiency measurement, display and monitoring, and cannot be based on the intelligent processing of the power generation efficiency data of the perovskite photovoltaic module, and analyze the main factors affecting the actual power generation efficiency of the perovskite photovoltaic module in different geographical environments, which reduces the actual power generation application effect of the perovskite photovoltaic module.
[0003] The Chinese invention patent with announcement number CN103984840B discloses an optical model of a concentrated solar photovoltaic power generation system. By collecting the irradiation spectrum parameters of the battery surface, an equivalent battery model and unknown parameters in the IV curve fitting circuit model are established, and the short-circuit current parameters, open-circuit voltage and maximum output power of the battery are scientifically measured. The input optical power of the system is calculated using the optical model, and the system efficiency is calculated by the maximum output power and input optical power of the system, thereby realizing dynamic variable statistics of the performance parameters of the concentrated solar photovoltaic power generation system. However, the above technical solutions cannot dynamically and accurately evaluate the main factor parameters affecting the performance of the concentrated solar photovoltaic power generation system in different geographical environments. Summary of the invention
[0004] 1. Technical issues to be resolved
[0005] In order to solve the problem that the existing perovskite photovoltaic module power generation efficiency measurement and processing can only perform simple power generation efficiency measurement and display monitoring, and cannot intelligently process the power generation efficiency data of the perovskite photovoltaic module and analyze the main factors affecting the actual power generation efficiency of the perovskite photovoltaic module in different regional environments, thereby reducing the actual power generation application effect of the perovskite photovoltaic module, the above purpose of accurately measuring the power generation efficiency of the perovskite photovoltaic module, dynamically collecting regional environmental factors of photovoltaic power generation, scientifically numerically analyzing the main environmental factors of the power generation efficiency of the perovskite photovoltaic module, and accurately pushing the power generation efficiency measurement result parameters of the perovskite photovoltaic module is achieved.
[0006] (II) Technical solution
[0007] The present invention is implemented by the following technical solution: a method for intelligently measuring the photoelectric conversion efficiency of a perovskite photovoltaic module, the method comprising the following steps:
[0008] S1. Collect the power generation voltage data, power generation current data, power generation light intensity data and power generation environmental factor data of the perovskite photovoltaic module;
[0009] S2, measuring the power generation efficiency based on the collected voltage, current, light intensity parameters of the perovskite photovoltaic module and the surface area data of the perovskite photovoltaic module, and generating the power generation efficiency data of the perovskite photovoltaic module;
[0010] S3, performing numerical normalization processing on the power generation environmental factor data of the perovskite photovoltaic module to generate power generation environmental factor data of a standard perovskite photovoltaic module;
[0011] S4, performing mean and standard deviation data processing according to the standard perovskite photovoltaic module power generation environmental factor data, and generating a mean value of the perovskite photovoltaic module power generation environmental factor and a standard deviation of the perovskite photovoltaic module power generation environmental factor respectively;
[0012] S5. Processing the mean and standard deviation data based on the power generation efficiency data of the perovskite photovoltaic module to generate the mean power generation efficiency of the perovskite photovoltaic module and the standard deviation of the power generation efficiency of the perovskite photovoltaic module respectively;
[0013] S6. Analyze the factors affecting the power generation efficiency of the perovskite photovoltaic module based on the mean and standard deviation of the generated power generation environmental factors of the perovskite photovoltaic module and the mean and standard deviation of the power generation efficiency of the perovskite photovoltaic module, and construct the data of the main factors affecting the power generation efficiency of the perovskite photovoltaic module;
[0014] S7. Construct the measurement result data of the power generation efficiency of the perovskite photovoltaic module and perform the push display operation.
[0015] Preferably, the operation steps of collecting the power generation voltage data of the perovskite photovoltaic module, the power generation current data of the perovskite photovoltaic module, the power generation light intensity data of the perovskite photovoltaic module, and the power generation environmental factor data of the perovskite photovoltaic module are as follows:
[0016] S11. Measure the voltage data of the photovoltaic module power generation end in the geographical environment where the perovskite photovoltaic module is located online through the current and voltage monitor and generate a perovskite photovoltaic module power generation voltage data set , ;in Indicates the collected Perovskite photovoltaic module power generation voltage data, Indicates the maximum number of parameters for collecting power generation parameters of perovskite photovoltaic modules. The unit of is volt;
[0017] The current data of the photovoltaic module power generation end in the geographical environment where the perovskite photovoltaic module is located is measured online synchronously by the current and voltage monitor, and a data set of the power generation current of the perovskite photovoltaic module is generated. ,in Indicates the collected The power generation current data of perovskite photovoltaic modules, The unit is ampere;
[0018] The light intensity sensor is used to synchronously measure the solar light intensity data received by the photovoltaic module surface in the geographical environment where the perovskite photovoltaic module is located online and generate a data set of the light intensity of the perovskite photovoltaic module. ,in Indicates the collected Perovskite photovoltaic module power generation light intensity data, The unit is lux;
[0019] The photovoltaic power generation environmental parameter sensor is used to synchronously measure the environmental factor parameters in the geographical environment of the perovskite photovoltaic module online and generate a data set of the environmental factor of the perovskite photovoltaic module power generation The power generation environmental factors of the perovskite photovoltaic module include wind speed, temperature, humidity, light intensity and the irradiation angle of light on the surface of the photovoltaic module in the geographical environment where the perovskite photovoltaic module is located. The photovoltaic power generation environmental parameter sensor includes a wind speed sensor, a temperature sensor, a humidity sensor, a light intensity sensor and a light irradiation angle measuring instrument.
[0020] The present invention uses a current and voltage monitor, a light intensity sensor, and a photovoltaic power generation environmental parameter sensor to autonomously obtain the voltage and current at the power generation end of the perovskite photovoltaic module, the light intensity on the surface of the perovskite photovoltaic module, and the parameters of the environmental factors of the power generation area of the perovskite photovoltaic module online, thereby achieving the effect of accurately collecting the power generation parameters of the perovskite photovoltaic module.
[0021] Preferably, the operation steps of measuring power generation efficiency based on the collected voltage, current, light intensity parameters of the perovskite photovoltaic module and the surface area data of the perovskite photovoltaic module to generate power generation efficiency data of the perovskite photovoltaic module are as follows:
[0022] S21. Establishing the surface area data of perovskite photovoltaic modules The surface area data of the perovskite photovoltaic module represents the surface area of the perovskite photovoltaic module facing the sun to receive sunlight and generate current. The unit is square meters;
[0023] S22, according to the perovskite photovoltaic module power generation voltage data set Perovskite photovoltaic module power generation voltage data , the perovskite photovoltaic module power generation current data set Power generation current data of perovskite photovoltaic modules , the perovskite photovoltaic module power generation light intensity data set Perovskite photovoltaic module power generation light intensity data Perovskite photovoltaic module surface area data Import the photovoltaic panel efficiency measurement formula to perform power generation efficiency data processing and generate a perovskite photovoltaic module power generation efficiency data set ,in Indicates the collected The power generation voltage data of the perovskite photovoltaic module , the power generation current data of the perovskite photovoltaic module And the perovskite photovoltaic module power generation light intensity data Corresponding perovskite photovoltaic module power generation efficiency data; , ∈ Random number in the interval.
[0024] The present invention measures the power generation efficiency of the perovskite photovoltaic module based on the voltage, current, light intensity parameters at the power generation end of the perovskite photovoltaic module and the surface area parameters of the perovskite photovoltaic module, thereby achieving the effect of accurate and scientific measurement of the power generation efficiency of the perovskite photovoltaic module.
[0025] Preferably, the steps of performing numerical normalization processing on the power generation environmental factor data of the perovskite photovoltaic module to generate the power generation environmental factor data of the standard perovskite photovoltaic module are as follows:
[0026] S31, using the minimum-maximum normalization algorithm to normalize the data set of the environmental factors of the perovskite photovoltaic module power generation The data of environmental factors of power generation of perovskite photovoltaic modules are numerically normalized to generate a data set of environmental factors of power generation of standard perovskite photovoltaic modules. , ;in Indicates the collected Environmental factors of power generation of perovskite photovoltaic modules; Indicates the collected The first environmental factors corresponding to the power generation of perovskite photovoltaic modules Standard perovskite photovoltaic module power generation environmental factor data, Indicates the collected The first environmental factors corresponding to the power generation of perovskite photovoltaic modules Standard perovskite photovoltaic module power generation environmental factor data, Indicates the collected The first environmental factors corresponding to the power generation of perovskite photovoltaic modules Standard perovskite photovoltaic module power generation environmental factor data, Indicates the maximum number of environmental factors for power generation of perovskite photovoltaic modules. , and Average value Random number in the interval.
[0027] The present invention adopts the minimum-maximum normalization algorithm to perform numerical normalization processing on the parameters of the environmental factors of the power generation of the perovskite photovoltaic module, so as to provide data type support for the intelligent analysis of the main factors of the regional environment of the photoelectric conversion efficiency of the perovskite photovoltaic module.
[0028] Preferably, the steps of performing mean and standard deviation data processing according to the standard perovskite photovoltaic module power generation environmental factor data to generate the mean value of the perovskite photovoltaic module power generation environmental factor and the standard deviation of the perovskite photovoltaic module power generation environmental factor are as follows:
[0029] S41. Collecting the data of the environmental factors of power generation of the standard perovskite photovoltaic module Data on environmental factors of power generation of medium-standard perovskite photovoltaic modules The mean formula and standard deviation formula are used to calculate the environmental factor data of standard perovskite photovoltaic module power generation. The mean and standard deviation of the measured numerical processing are used to generate the mean set of environmental factors of perovskite photovoltaic module power generation. ,in Indicates the collected The average value of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, ; Indicates the collected The average value of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, ; Indicates the collected The average value of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, ;
[0030] Generate a set of standard deviations of environmental factors for power generation of perovskite photovoltaic modules ,in Indicates the collected The standard deviation of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, ; Indicates the collected The standard deviation of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, ; Indicates the collected The standard deviation of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, .
[0031] The present invention processes the mean and standard deviation data of the power generation environmental factors of the standard perovskite photovoltaic module through numerical analysis, so as to achieve the effect of scientifically measuring the mean and standard deviation parameters of the power generation environmental factors of the perovskite photovoltaic module.
[0032] Preferably, the steps of performing mean and standard deviation data processing based on the power generation efficiency data of the perovskite photovoltaic module to generate the mean power generation efficiency of the perovskite photovoltaic module and the standard deviation of the power generation efficiency of the perovskite photovoltaic module are as follows:
[0033] S51, when the mean value of the environmental factors of the perovskite photovoltaic module power generation is set and the standard deviation of the environmental factors of the perovskite photovoltaic module power generation When the measurement is completed; the power generation efficiency data of the perovskite photovoltaic module is collected Power generation efficiency data of perovskite photovoltaic modules The mean formula and standard deviation formula are used to calculate the mean power generation efficiency of perovskite photovoltaic modules. The mean and standard deviation of the measured numerical processing are used to generate the mean power generation efficiency of the perovskite photovoltaic module. ,in ;
[0034] Generate the standard deviation of power generation efficiency of perovskite photovoltaic modules ,in .
[0035] The present invention processes the mean and standard deviation data of the power generation efficiency of the perovskite photovoltaic module through numerical analysis, so as to achieve the effect of efficiently and accurately generating the mean and standard deviation parameters of the power generation efficiency of the perovskite photovoltaic module.
[0036] Preferably, the operating steps of analyzing the factors affecting the power generation efficiency of the perovskite photovoltaic module based on the mean and standard deviation of the generated power generation environmental factors of the perovskite photovoltaic module and the mean and standard deviation of the power generation efficiency of the perovskite photovoltaic module to construct the data of the main factors affecting the power generation efficiency of the perovskite photovoltaic module are as follows:
[0037] S61, the average value of the environmental factors of the perovskite photovoltaic module power generation is collected Average value of environmental factors for power generation of perovskite photovoltaic modules to The numbering order of the environmental factors of the power generation of perovskite photovoltaic modules and the average power generation efficiency of the perovskite photovoltaic modules Perform numerical difference measurement to generate a set of mean differences between the power generation efficiency of perovskite photovoltaic modules and power generation environmental factors ,in Represents the average value of the environmental factors of the perovskite photovoltaic module power generation The average power generation efficiency of the perovskite photovoltaic module The corresponding difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors;
[0038] The standard deviation of environmental factors of perovskite photovoltaic module power generation is combined Standard deviation of environmental factors of perovskite photovoltaic modules to The order of the types of environmental factors of the power generation of perovskite photovoltaic modules and the standard deviation of the power generation efficiency of the perovskite photovoltaic modules Perform numerical difference measurement to generate a set of standard deviations of power generation efficiency and power generation environmental factors of perovskite photovoltaic modules ,in Represents the standard deviation of the environmental factors of the perovskite photovoltaic module power generation The standard deviation of the power generation efficiency of the perovskite photovoltaic module The corresponding standard deviation difference between the power generation efficiency of perovskite photovoltaic modules and the power generation environmental factors;
[0039] S62, using an iterative deepening search algorithm to search for a set of mean differences between the power generation efficiency of the perovskite photovoltaic module and the power generation environmental factors The difference between the power generation efficiency of the perovskite photovoltaic module with the smallest value and the mean value of the power generation environmental factors and the set of standard deviations of the power generation efficiency and power generation environmental factors of the perovskite photovoltaic module The smallest value of the perovskite photovoltaic module power generation efficiency and the standard deviation of power generation environmental factors They are marked as the extreme values of the mean difference between the power generation efficiency of perovskite photovoltaic modules and the power generation environmental factors. The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules ; The extreme value of the difference between the power generation efficiency of the perovskite photovoltaic module and the mean value of the power generation environmental factors express Indicates the collected Environmental factors of power generation of perovskite photovoltaic modules Corresponding standard perovskite photovoltaic module power generation environmental factor data The power generation efficiency data of the perovskite photovoltaic module The data mean characteristics are the same;
[0040] The extreme value of the standard deviation of the power generation efficiency of perovskite photovoltaic modules and the power generation environmental factors Indicates the collected Environmental factors of power generation of perovskite photovoltaic modules Corresponding standard perovskite photovoltaic module power generation environmental factor data The power generation efficiency data of the perovskite photovoltaic module The specific data has the same characteristics as the dispersion of the mean. and In the actual operation of perovskite photovoltaic modules, there must be environmental factors that appear in the same type of perovskite photovoltaic modules. Because the characteristics of the changes in the power generation efficiency of perovskite photovoltaic modules are the same as the characteristics of the changes in the main influencing factors in the environment;
[0041] S63, based on the extreme value of the difference between the power generation efficiency of the perovskite photovoltaic module and the mean value of the power generation environmental factors and the extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of the perovskite photovoltaic module The corresponding perovskite photovoltaic module power generation environmental factor category number is in the standard perovskite photovoltaic module power generation environmental factor data set Search for the corresponding environmental factors for power generation of the perovskite photovoltaic module , execute the search to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Corresponding environmental factors for power generation of perovskite photovoltaic modules The specific steps are as follows:
[0042] S631, initialization, update the maximum number of iterations T, update and generate environmental factors to identify the individual positions of white shark populations, and the calculation formula for environmental factors to identify the individual positions of white shark populations is as follows: ,in Indicates that environmental factors identify white shark individuals exist The position in the dimensional space, that is, the environmental factors identify the white shark individuals In the spatial dimension A data set of standard perovskite photovoltaic module power generation environmental factors The position in the search space, and Respectively represent the data set of environmental factors of power generation in standard perovskite photovoltaic modules The upper and lower limits of Indicates value A random number between
[0043] S632, speed update stage, environmental factor recognition white shark perceives the position of prey according to its movement and updates its own speed, that is, in the standard perovskite photovoltaic module power generation environmental factor data set Search the search space to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for power generation of matching perovskite photovoltaic modules , the calculation formula for updating its own speed is as follows:
[0044] ,in Indicates that environmental factors identify white shark individuals exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set The speed in the search space, Indicates that environmental factors identify white shark individuals exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set The speed in the search space, Indicated in After iterations, environmental factors identified white shark individuals in the standard perovskite photovoltaic module power generation environmental factors data set The optimal position in the search space, Indicates that environmental factors identify white shark individuals exist After iterations, environmental factors identified white shark individuals in the standard perovskite photovoltaic module power generation environmental factors data set Position in the search space; Indicates that environmental factors identify white shark individuals exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set Search space and speed The corresponding position; represents the algorithm shrinkage coefficient, and Respectively and The control coefficient of and Both represent values A random number between
[0045] S633, position update phase, environmental factor recognition white shark updates its own data set of environmental factors for power generation of standard perovskite photovoltaic modules by moving towards the optimal prey Position in the search space, in the data set of standard perovskite photovoltaic module power generation environmental factors Search the search space to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for optimal or suboptimal matching of perovskite photovoltaic modules Prey, environmental factors identify the white shark position update calculation formula is as follows: ,in Representation of individual white sharks by environmental factors during the position updating phase of prey search exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set The position in the search space, Represents a bitwise operator, is a logical vector, and are binary vectors, It represents the attraction coefficient of environmental factors to identify the white shark approaching prey. Indicates environmental factors identifying white shark sports product wave frequency;
[0046] Environmental factors identify the white shark by moving towards the optimal environmental factors to identify the white shark position to get closer to the optimal position of the prey. The calculation formula for the environmental factors to identify the white shark position update is as follows:
[0047] ,in Represents the location update phase to search for the optimal environmental factors to identify the white shark's location. Environmental factors to identify white shark individuals. exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set The position in the search space, , , Both represent values A random number between Represents the environmental factor identifying the distance between the white shark and its prey, that is, the standard perovskite photovoltaic module power generation environmental factor data set Search the search space to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for power generation of matching perovskite photovoltaic modules ; Indicates a sign-returning function. Olfactory and visual parameters representing environmental factors identifying white sharks in proximity to optimal prey;
[0048] S634, Fish school behavior stage, environmental factor identification White shark population retains position through feeding behavior In the update stage, the environmental factor data collection of standard perovskite photovoltaic module power generation The optimal environmental factor in the search space identifies the white shark position, and based on the optimal environmental factor to identify the white shark position to update other environmental factors to identify the individual white shark position to obtain a data set of environmental factors for power generation in a standard perovskite photovoltaic module Search the search space to find the extreme value of the difference between the power generation efficiency and the power generation environmental factors of the perovskite photovoltaic module and the extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of the perovskite photovoltaic module Environmental factors for power generation of matching perovskite photovoltaic modules , the calculation formula for updating the position of white shark individuals identified by environmental factors is as follows: ,in Indicates the stage of schooling behavior and updates other environmental factors to identify individual white sharks exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set The position in the search space, that is, the extreme value of the difference between the power generation efficiency of the perovskite photovoltaic module and the mean of the power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for power generation of matching perovskite photovoltaic modules ;
[0049] S635: when the maximum number of iterations is met, output the extreme value of the difference between the power generation efficiency of the perovskite photovoltaic module and the mean value of the power generation environmental factors and the extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of the perovskite photovoltaic module Environmental factors for power generation of matching perovskite photovoltaic modules ;
[0050] S64, the power generation environmental factor of the perovskite photovoltaic module output in step S635 Indicates the data of the main factors affecting the power generation efficiency of perovskite photovoltaic modules .
[0051] The present invention achieves the effect of intelligently evaluating the main factor types that affect the power generation efficiency of perovskite photovoltaic modules in different regional environments by using the difference extreme value parameters based on the mean and standard deviation of the power generation environment factors of the perovskite photovoltaic module and the mean and standard deviation of the power generation efficiency of the perovskite photovoltaic module.
[0052] Preferably, the steps of constructing the measurement result data of the power generation efficiency of the perovskite photovoltaic module and executing the push display operation are as follows:
[0053] S71, respectively collecting the power generation efficiency data of the perovskite photovoltaic module 、The average power generation efficiency of the perovskite photovoltaic module 、The standard deviation of the power generation efficiency of the perovskite photovoltaic module Data on the main factors affecting the power generation efficiency of perovskite photovoltaic modules Generate perovskite photovoltaic module power generation efficiency measurement data by combining data ;
[0054] S72, the power generation efficiency measurement result data of the perovskite photovoltaic module Transmitted to the power generation control end of the perovskite photovoltaic module through the Internet of Things communication network.
[0055] The present invention generates and displays the parameters of the measurement results of the power generation efficiency of the perovskite photovoltaic module through data combination processing based on the power generation efficiency of the perovskite photovoltaic module, the mean value of the power generation efficiency, the standard deviation of the power generation efficiency and the type parameters of the main factors affecting the environmental photoelectric conversion efficiency of the perovskite photovoltaic module, so as to achieve the effect of accurate measurement and visualization of the power generation efficiency measurement results of the perovskite photovoltaic module and timely display and feedback.
[0056] A perovskite photovoltaic module photoelectric conversion efficiency intelligent measurement system, used to implement the perovskite photovoltaic module photoelectric conversion efficiency intelligent measurement method, the system includes a perovskite photovoltaic module power generation efficiency processing module, a perovskite photovoltaic module power generation efficiency main factor analysis module, and a perovskite photovoltaic module power generation efficiency display module;
[0057] The perovskite photovoltaic module power generation efficiency processing module includes a perovskite photovoltaic module power generation voltage collection unit, a perovskite photovoltaic module power generation current collection unit, a perovskite photovoltaic module power generation light intensity collection unit, a perovskite photovoltaic module power generation environmental factor collection unit, a perovskite photovoltaic module surface area storage unit, and a perovskite photovoltaic module power generation efficiency measurement unit;
[0058] The perovskite photovoltaic module power generation voltage acquisition unit acquires the power generation voltage data of the perovskite photovoltaic module through a current and voltage monitor; the perovskite photovoltaic module power generation current acquisition unit acquires the power generation current data of the perovskite photovoltaic module through a current and voltage monitor; the perovskite photovoltaic module power generation light intensity acquisition unit acquires the power generation light intensity data of the perovskite photovoltaic module through a light intensity sensor; the perovskite photovoltaic module power generation environmental factor acquisition unit acquires the power generation environmental factor data of the perovskite photovoltaic module through a photovoltaic power generation environmental parameter sensor; the perovskite photovoltaic module surface area storage unit is used to store the surface area data of the perovskite photovoltaic module; the perovskite photovoltaic module power generation efficiency metering unit performs power generation efficiency metering based on the collected voltage, current, and light intensity parameters of the perovskite photovoltaic module power generation and the perovskite photovoltaic module surface area data, and generates the perovskite photovoltaic module power generation efficiency data;
[0059] The main factor analysis module of the power generation efficiency of the perovskite photovoltaic module includes a perovskite photovoltaic module power generation environment factor parameter preprocessing unit, a perovskite photovoltaic module power generation environment factor parameter numerical statistics unit, a perovskite photovoltaic module power generation efficiency numerical statistics unit, and a perovskite photovoltaic module power generation efficiency main factor evaluation unit;
[0060] The perovskite photovoltaic module power generation environment factor parameter preprocessing unit performs numerical normalization processing on the perovskite photovoltaic module power generation environment factor data to generate standard perovskite photovoltaic module power generation environment factor data; the perovskite photovoltaic module power generation environment factor parameter numerical statistics unit performs mean and standard deviation data processing based on the standard perovskite photovoltaic module power generation environment factor data to respectively generate the perovskite photovoltaic module power generation environment factor mean and the perovskite photovoltaic module power generation environment factor standard deviation; the perovskite photovoltaic module power generation efficiency numerical statistics unit performs mean and standard deviation data processing based on the perovskite photovoltaic module power generation efficiency data to respectively generate the perovskite photovoltaic module power generation efficiency mean and the perovskite photovoltaic module power generation efficiency standard deviation; the perovskite photovoltaic module power generation efficiency main factor evaluation unit performs perovskite photovoltaic module power generation efficiency influencing factor analysis based on the generated perovskite photovoltaic module power generation environment factor mean and standard deviation and the perovskite photovoltaic module power generation efficiency mean and standard deviation, and constructs the perovskite photovoltaic module power generation efficiency influencing factor data;
[0061] The perovskite photovoltaic module power generation efficiency display module includes a perovskite photovoltaic module power generation efficiency measurement parameter processing unit and a perovskite photovoltaic module power generation efficiency measurement result feedback unit;
[0062] The perovskite photovoltaic module power generation efficiency measurement parameter processing unit is used to construct the perovskite photovoltaic module power generation efficiency measurement result data; the perovskite photovoltaic module power generation efficiency measurement result feedback unit transmits the perovskite photovoltaic module power generation efficiency measurement result data to the perovskite photovoltaic module power generation control terminal through the Internet of Things communication network.
[0063] (III) Beneficial effects
[0064] The present invention provides a system and method for intelligently measuring the photoelectric conversion efficiency of a perovskite photovoltaic module. It has the following beneficial effects:
[0065] 1. Accurately collect the voltage, current, light intensity on the surface of the perovskite photovoltaic module and the parameters of the regional environmental factors of the perovskite photovoltaic module power generation end to achieve accurate collection of the power generation parameters of the perovskite photovoltaic module; based on the voltage, current, light intensity parameters at the power generation end of the perovskite photovoltaic module and the surface area parameters of the perovskite photovoltaic module, accurate and reliable measurement of the power generation efficiency of the perovskite photovoltaic module is achieved, thereby improving the accuracy and scientificity of the measurement of the photoelectric conversion efficiency of the perovskite photovoltaic module.
[0066] 2. By numerically normalizing the parameters of the environmental factors of perovskite photovoltaic modules, the parameters of the environmental factors of standard perovskite photovoltaic modules are accurately generated, providing data type support for the intelligent analysis of the main factors of the regional environment of the photoelectric conversion efficiency of perovskite photovoltaic modules; numerical analysis is used to process the mean and standard deviation data of the environmental factors of standard perovskite photovoltaic modules, and the mean and standard deviation parameters of the environmental factors of perovskite photovoltaic modules are scientifically measured; numerical analysis is used to process the mean and standard deviation data of the power generation efficiency of perovskite photovoltaic modules, and the mean and standard deviation parameters of the power generation efficiency of perovskite photovoltaic modules are efficiently and accurately generated; based on the extreme value parameters of the difference between the mean and standard deviation of the environmental factors of perovskite photovoltaic modules and the mean and standard deviation of the power generation efficiency of perovskite photovoltaic modules, the main factors affecting the power generation efficiency of perovskite photovoltaic modules in different regional environments are intelligently evaluated, and the scientific measurement of the main factors affecting the environmental factors of the photoelectric conversion efficiency of perovskite photovoltaic modules is achieved.
[0067] 3. Based on the power generation efficiency, mean power generation efficiency, standard deviation of power generation efficiency and type parameters of main environmental factors affecting the photoelectric conversion efficiency of perovskite photovoltaic modules, accurate data combination processing is performed to generate the power generation efficiency measurement result parameters of perovskite photovoltaic modules; the power generation efficiency measurement result parameters of perovskite photovoltaic modules are transmitted to the power generation control terminal of the perovskite photovoltaic modules through the Internet of Things communication network, so as to realize accurate push and display of the power generation efficiency measurement results of the perovskite photovoltaic modules, and realize visualization and timely display and feedback of the power generation efficiency measurement results of the perovskite photovoltaic modules. BRIEF DESCRIPTION OF THE DRAWINGS
[0068] Figure 1 A schematic diagram of a module of an intelligent measurement system for photoelectric conversion efficiency of a perovskite photovoltaic module provided by the present invention;
[0069] Figure 2 A flow chart of an intelligent measurement method for photoelectric conversion efficiency of a perovskite photovoltaic module provided by the present invention. DETAILED DESCRIPTION
[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0071] The embodiments of the intelligent measurement system and method for photoelectric conversion efficiency of a perovskite photovoltaic module are as follows:
[0072] Embodiment 1:
[0073] See also Figure 1 - Figure 2 , a method for intelligently measuring the photoelectric conversion efficiency of a perovskite photovoltaic module, the method comprising the following steps:
[0074] S1. Collect the power generation voltage data, power generation current data, power generation light intensity data and power generation environmental factor data of the perovskite photovoltaic module;
[0075] S2, measuring the power generation efficiency based on the collected voltage, current, light intensity parameters of the perovskite photovoltaic module and the surface area data of the perovskite photovoltaic module, and generating the power generation efficiency data of the perovskite photovoltaic module;
[0076] S3, performing numerical normalization processing on the power generation environmental factor data of the perovskite photovoltaic module to generate the power generation environmental factor data of the standard perovskite photovoltaic module;
[0077] S4. Processing the mean and standard deviation data according to the standard perovskite photovoltaic module power generation environmental factor data to generate the mean value of the perovskite photovoltaic module power generation environmental factor and the standard deviation of the perovskite photovoltaic module power generation environmental factor respectively;
[0078] S5. Process the mean and standard deviation data based on the power generation efficiency data of the perovskite photovoltaic module to generate the mean power generation efficiency of the perovskite photovoltaic module and the standard deviation of the power generation efficiency of the perovskite photovoltaic module respectively;
[0079] S6. Analyze the factors affecting the power generation efficiency of the perovskite photovoltaic module based on the mean and standard deviation of the generated power generation environmental factors of the perovskite photovoltaic module and the mean and standard deviation of the power generation efficiency of the perovskite photovoltaic module, and construct the data of the main factors affecting the power generation efficiency of the perovskite photovoltaic module;
[0080] S7. Construct the measurement result data of the power generation efficiency of the perovskite photovoltaic module and perform the push display operation.
[0081] For further information, see Figure 1 - Figure 2 The steps for collecting the power generation voltage data, power generation current data, light intensity data, and environmental factor data of the perovskite photovoltaic module are as follows:
[0082] S11. Measure the voltage data of the photovoltaic module power generation end in the geographical environment where the perovskite photovoltaic module is located online through the current and voltage monitor and generate a perovskite photovoltaic module power generation voltage data set , ;in Indicates the collected Perovskite photovoltaic module power generation voltage data, Indicates the maximum number of parameters for collecting power generation parameters of perovskite photovoltaic modules. The unit of is volt;
[0083] The current data of the photovoltaic module power generation end in the geographical environment where the perovskite photovoltaic module is located is measured online synchronously by the current and voltage monitor, and a data set of the power generation current of the perovskite photovoltaic module is generated. ,in Indicates the collected The power generation current data of perovskite photovoltaic modules, The unit is ampere;
[0084] The light intensity sensor is used to synchronously measure the solar light intensity data received by the photovoltaic module surface in the geographical environment where the perovskite photovoltaic module is located online and generate a data set of the light intensity of the perovskite photovoltaic module. ,in Indicates the collected Perovskite photovoltaic module power generation light intensity data, The unit is lux;
[0085] The photovoltaic power generation environmental parameter sensor is used to synchronously measure the environmental factor parameters in the geographical environment of the perovskite photovoltaic module online and generate a data set of the environmental factor of the perovskite photovoltaic module power generation The environmental factors of perovskite photovoltaic module power generation include wind speed, temperature, humidity, light intensity and the angle of light shining on the surface of photovoltaic module in the geographical environment where the perovskite photovoltaic module is located. Photovoltaic power generation environmental parameter sensors include wind speed sensor, temperature sensor, humidity sensor, light intensity sensor and light angle measuring instrument.
[0086] The power generation efficiency is measured based on the collected voltage, current, light intensity parameters of the perovskite photovoltaic module and the surface area data of the perovskite photovoltaic module. The operating steps for generating the power generation efficiency data of the perovskite photovoltaic module are as follows:
[0087] S21. Establishing the surface area data of perovskite photovoltaic modules The surface area data of the perovskite photovoltaic module refers to the surface area of the perovskite photovoltaic module facing the sun to receive sunlight and generate current. The unit is square meters;
[0088] S22. Based on the data collection of power generation voltage of perovskite photovoltaic modules Perovskite photovoltaic module power generation voltage data , Perovskite photovoltaic module power generation current data collection Power generation current data of perovskite photovoltaic modules , Perovskite photovoltaic module power generation light intensity data collection Perovskite photovoltaic module power generation light intensity data Perovskite photovoltaic module surface area data Import the photovoltaic panel efficiency measurement formula to perform power generation efficiency data processing and generate a perovskite photovoltaic module power generation efficiency data set ,in Indicates the collected Perovskite photovoltaic module power generation voltage data , Perovskite photovoltaic module power generation current data And the light intensity data of perovskite photovoltaic modules Corresponding perovskite photovoltaic module power generation efficiency data; , ∈ Random number in the interval.
[0089] Through the cooperation between the perovskite photovoltaic module power generation voltage collection unit, the perovskite photovoltaic module power generation current collection unit, the perovskite photovoltaic module power generation light intensity collection unit, and the perovskite photovoltaic module power generation light intensity collection unit, the voltage, current, surface light intensity of the perovskite photovoltaic module and the parameters of the regional environmental factors of the perovskite photovoltaic module power generation end at the perovskite photovoltaic module are accurately collected to achieve the precise collection of the power generation parameters of the perovskite photovoltaic module; the perovskite photovoltaic module power generation efficiency measurement unit, based on the voltage, current, light intensity parameters at the power generation end of the perovskite photovoltaic module and the surface area parameters of the perovskite photovoltaic module, achieves accurate and reliable measurement of the power generation efficiency of the perovskite photovoltaic module, thereby improving the accuracy and scientificity of the measurement of the photoelectric conversion efficiency of the perovskite photovoltaic module.
[0090] For further information, see Figure 1 - Figure 2 , the numerical normalization processing of the environmental factor data of the perovskite photovoltaic module power generation is carried out, and the operation steps of generating the standard perovskite photovoltaic module power generation environmental factor data are as follows:
[0091] S31. Use the minimum-maximum normalization algorithm to analyze the data set of environmental factors of perovskite photovoltaic module power generation The data of environmental factors of power generation of perovskite photovoltaic modules are numerically normalized to generate a data set of environmental factors of power generation of standard perovskite photovoltaic modules. , ;in Indicates the collected Environmental factors of power generation of perovskite photovoltaic modules; Indicates the collected The first environmental factors corresponding to the power generation of perovskite photovoltaic modules Standard perovskite photovoltaic module power generation environmental factor data, Indicates the collected The first environmental factors corresponding to the power generation of perovskite photovoltaic modules Standard perovskite photovoltaic module power generation environmental factor data, Indicates the collected The first environmental factors corresponding to the power generation of perovskite photovoltaic modules Standard perovskite photovoltaic module power generation environmental factor data, Indicates the maximum number of environmental factors for power generation of perovskite photovoltaic modules, , and Average value Random number in the interval.
[0092] According to the standard perovskite photovoltaic module power generation environmental factor data, the mean and standard deviation data are processed to generate the mean and standard deviation of the perovskite photovoltaic module power generation environmental factor respectively as follows:
[0093] S41. Data collection of environmental factors for power generation of standard perovskite photovoltaic modules Data on environmental factors of power generation of medium-standard perovskite photovoltaic modules The mean formula and standard deviation formula are used to calculate the environmental factor data of standard perovskite photovoltaic module power generation. The mean and standard deviation of the measured numerical processing are used to generate the mean set of environmental factors of perovskite photovoltaic module power generation. ,in Indicates the collected The average value of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, ; Indicates the collected The average value of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, ; Indicates the collected The average value of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, ;
[0094] Generate a set of standard deviations of environmental factors for power generation of perovskite photovoltaic modules ,in Indicates the collected The standard deviation of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, ; Indicates the collected The standard deviation of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, ; Indicates the collected The standard deviation of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules, .
[0095] Based on the power generation efficiency data of perovskite photovoltaic modules, the mean and standard deviation data are processed to generate the mean power generation efficiency of perovskite photovoltaic modules and the standard deviation of power generation efficiency of perovskite photovoltaic modules respectively as follows:
[0096] S51. When the average value of environmental factors of perovskite photovoltaic module power generation is set and the standard deviation of environmental factors of perovskite photovoltaic modules When the measurement is completed; the power generation efficiency data of perovskite photovoltaic modules is collected Power generation efficiency data of perovskite photovoltaic modules The mean formula and standard deviation formula are used to calculate the mean power generation efficiency of perovskite photovoltaic modules. The mean and standard deviation of the measured numerical processing are used to generate the mean power generation efficiency of the perovskite photovoltaic module. ,in ;
[0097] Generate the standard deviation of power generation efficiency of perovskite photovoltaic modules ,in .
[0098] According to the mean and standard deviation of the generated perovskite photovoltaic module power generation environmental factors and the mean and standard deviation of the perovskite photovoltaic module power generation efficiency, the factors affecting the power generation efficiency of the perovskite photovoltaic module are analyzed, and the operation steps for constructing the data of the main factors affecting the power generation efficiency of the perovskite photovoltaic module are as follows:
[0099] S61. Aggregate the average values of environmental factors of perovskite photovoltaic module power generation Average value of environmental factors for power generation of perovskite photovoltaic modules to The order of the environmental factors of perovskite photovoltaic modules and the average power generation efficiency of perovskite photovoltaic modules Perform numerical difference measurement to generate a set of mean differences between the power generation efficiency of perovskite photovoltaic modules and power generation environmental factors ,in Represents the average environmental factors of perovskite photovoltaic module power generation Compared with the average power generation efficiency of perovskite photovoltaic modules The corresponding difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors;
[0100] The standard deviation of environmental factors of perovskite photovoltaic module power generation is combined Standard deviation of environmental factors of perovskite photovoltaic modules to Order by type of environmental factors of perovskite photovoltaic modules and standard deviation of power generation efficiency of perovskite photovoltaic modules Perform numerical difference measurement to generate a set of standard deviations of power generation efficiency and power generation environmental factors of perovskite photovoltaic modules ,in Represents the standard deviation of environmental factors of perovskite photovoltaic module power generation The standard deviation of power generation efficiency of perovskite photovoltaic modules The corresponding standard deviation difference between the power generation efficiency of perovskite photovoltaic modules and the power generation environmental factors;
[0101] S62, using iterative deepening search algorithm to search for the mean difference set of power generation efficiency of perovskite photovoltaic modules and power generation environmental factors The difference between the power generation efficiency of the perovskite photovoltaic module with the smallest value and the mean value of the power generation environmental factors The difference between the power generation efficiency of perovskite photovoltaic modules and the standard deviation of power generation environmental factors The smallest value of the perovskite photovoltaic module power generation efficiency and the standard deviation of power generation environmental factors They are marked as the extreme values of the mean difference between the power generation efficiency of perovskite photovoltaic modules and the power generation environmental factors. The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules ; The extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors express Indicates the collected Environmental factors of power generation of perovskite photovoltaic modules Corresponding standard perovskite photovoltaic module power generation environmental factor data Power generation efficiency data of perovskite photovoltaic modules The data mean characteristics are the same;
[0102] The extreme value of the standard deviation of the power generation efficiency of perovskite photovoltaic modules and the power generation environmental factors Indicates the collected Environmental factors of power generation of perovskite photovoltaic modules Corresponding standard perovskite photovoltaic module power generation environmental factor data Power generation efficiency data of perovskite photovoltaic modules The specific data has the same characteristics as the dispersion of the mean. and In the actual operation of perovskite photovoltaic modules, there must be environmental factors that appear in the same type of perovskite photovoltaic modules. Because the characteristics of the changes in the power generation efficiency of perovskite photovoltaic modules are the same as the characteristics of the changes in the main influencing factors in the environment;
[0103] S63, based on the extreme value of the mean difference between the power generation efficiency of perovskite photovoltaic modules and the power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules The corresponding perovskite photovoltaic module power generation environmental factor type number is in the standard perovskite photovoltaic module power generation environmental factor data set Search for the corresponding environmental factors for power generation of perovskite photovoltaic modules , execute the search to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Corresponding environmental factors for power generation of perovskite photovoltaic modules The specific steps are as follows:
[0104] S631, initialization, update the maximum number of iterations T, update and generate environmental factors to identify the individual positions of white shark populations, and the calculation formula for environmental factors to identify the individual positions of white shark populations is as follows: ,in Indicates that environmental factors identify white shark individuals exist The position in the dimensional space, that is, the environmental factors identify the white shark individuals In the spatial dimension A data set of standard perovskite photovoltaic module power generation environmental factors The position in the search space, and Respectively represent the data set of environmental factors of power generation in standard perovskite photovoltaic modules The upper and lower limits of Indicates value A random number between
[0105] S632, speed update stage, environmental factor recognition white shark perceives the position of prey according to its movement and updates its own speed, that is, in the standard perovskite photovoltaic module power generation environmental factor data set Search the search space to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for power generation of matching perovskite photovoltaic modules , the calculation formula for updating its own speed is as follows:
[0106] ,in Indicates that environmental factors identify white shark individuals exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set The speed in the search space, Indicates that environmental factors identify white shark individuals exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set The speed in the search space, Indicated in After iterations, environmental factors identified white shark individuals in the standard perovskite photovoltaic module power generation environmental factors data set The optimal position in the search space, Indicates that environmental factors identify white shark individuals exist After iterations, environmental factors identified white shark individuals in the standard perovskite photovoltaic module power generation environmental factors data set Position in the search space; Indicates that environmental factors identify white shark individuals exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set Search space and speed The corresponding position; represents the algorithm shrinkage coefficient, and Respectively and The control coefficient of and Both represent values A random number between
[0107] S633, position update phase, environmental factor recognition white shark updates its own data set of environmental factors for power generation of standard perovskite photovoltaic modules by moving towards the optimal prey Position in the search space, in the data set of standard perovskite photovoltaic module power generation environmental factors Search the search space to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for optimal or suboptimal matching of perovskite photovoltaic modules Prey, environmental factors identify the white shark position update calculation formula is as follows: ,in Representation of individual white sharks by environmental factors during the position updating phase of prey search exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set The position in the search space, Represents a bitwise operator, is a logical vector, and are binary vectors, It represents the attraction coefficient of environmental factors to identify the white shark approaching prey. Indicates environmental factors identifying white shark sports product wave frequency;
[0108] Environmental factors identify the white shark by moving towards the optimal environmental factors to identify the white shark position to get closer to the optimal position of the prey. The calculation formula for the environmental factors to identify the white shark position update is as follows:
[0109] ,in Represents the location update phase to search for the optimal environmental factors to identify the white shark's location. Environmental factors to identify white shark individuals. exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set The position in the search space, , , Both represent values A random number between Represents the environmental factor identifying the distance between the white shark and its prey, that is, the standard perovskite photovoltaic module power generation environmental factor data set Search the search space to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for power generation of matching perovskite photovoltaic modules ; Indicates a sign-returning function. Olfactory and visual parameters representing environmental factors identifying white sharks in proximity to optimal prey;
[0110] S634, Fish school behavior stage, environmental factor identification White shark population retains position through feeding behavior In the update stage, the environmental factor data collection of standard perovskite photovoltaic module power generation The optimal environmental factor in the search space identifies the white shark position, and based on the optimal environmental factor to identify the white shark position to update other environmental factors to identify the individual white shark position to obtain a data set of environmental factors for power generation in a standard perovskite photovoltaic module Search the search space to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for power generation of matching perovskite photovoltaic modules , the calculation formula for updating the position of white shark individuals identified by environmental factors is as follows: ,in Indicates the stage of schooling behavior and updates other environmental factors to identify individual white sharks exist After the first iteration, the standard perovskite photovoltaic module power generation environmental factor data set The position in the search space, that is, the extreme value of the difference between the power generation efficiency of the perovskite photovoltaic module and the mean of the power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for power generation of matching perovskite photovoltaic modules ;
[0111] S635. When the maximum number of iterations is met, the output is the extreme value of the difference between the power generation efficiency of the perovskite photovoltaic module and the mean value of the power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for power generation of matching perovskite photovoltaic modules ;
[0112] S64, the environmental factors of the power generation of the perovskite photovoltaic module output in step S635 Indicates the data of the main factors affecting the power generation efficiency of perovskite photovoltaic modules .
[0113] The perovskite photovoltaic module power generation environmental factor parameter preprocessing unit is used to perform numerical normalization on the perovskite photovoltaic module power generation environmental factor parameters, accurately generate standard perovskite photovoltaic module power generation environmental factor parameters, and provide data type support for intelligent analysis of the main factors of the regional environment of the perovskite photovoltaic module photoelectric conversion efficiency; the perovskite photovoltaic module power generation environmental factor parameter numerical statistics unit uses numerical analysis to process the mean and standard deviation data of the standard perovskite photovoltaic module power generation environmental factor data, and scientifically calculates the mean and standard deviation parameters of the perovskite photovoltaic module power generation environmental factor; The module power generation efficiency numerical statistics unit uses numerical analysis to process the mean and standard deviation data of the perovskite photovoltaic module power generation efficiency, and efficiently and accurately generates the mean and standard deviation parameters of the perovskite photovoltaic module power generation efficiency; the perovskite photovoltaic module power generation efficiency main factor evaluation unit, based on the mean and standard deviation of the perovskite photovoltaic module power generation environmental factors and the mean and standard deviation of the perovskite photovoltaic module power generation efficiency The difference extreme value parameters, intelligently evaluates the main factor types that affect the power generation efficiency of perovskite photovoltaic modules in different regional environments, and realizes scientific measurement of the main environmental factors that affect the photoelectric conversion efficiency of perovskite photovoltaic modules.
[0114] For further information, see Figure 1 - Figure 2 The steps to construct the measurement results of the power generation efficiency of perovskite photovoltaic modules and perform push display operations are as follows:
[0115] S71. Collect the power generation efficiency data of perovskite photovoltaic modules , Average power generation efficiency of perovskite photovoltaic modules , Standard deviation of power generation efficiency of perovskite photovoltaic modules Data on the main factors affecting the power generation efficiency of perovskite photovoltaic modules Generate perovskite photovoltaic module power generation efficiency measurement data by combining data ;
[0116] S72, the power generation efficiency measurement data of the perovskite photovoltaic module Transmitted to the power generation control end of the perovskite photovoltaic module through the Internet of Things communication network.
[0117] Through the perovskite photovoltaic module power generation efficiency measurement parameter processing unit, based on the perovskite photovoltaic module power generation efficiency, power generation efficiency mean, power generation efficiency standard deviation and the type parameters of the main factors affecting the environmental impact of the perovskite photovoltaic module photoelectric conversion efficiency, accurate data combination processing is performed to generate the perovskite photovoltaic module power generation efficiency measurement result parameters; the perovskite photovoltaic module power generation efficiency measurement result feedback unit transmits the perovskite photovoltaic module power generation efficiency measurement result parameters to the perovskite photovoltaic module power generation control terminal using the Internet of Things communication network, so as to achieve accurate push and display of the perovskite photovoltaic module power generation efficiency measurement results, and realize visualization, timely display and feedback of the perovskite photovoltaic module power generation efficiency measurement results.
[0118] Embodiment 2:
[0119] See also Figure 1 - Figure 2 , a perovskite photovoltaic module photoelectric conversion efficiency intelligent measurement system, used to realize a perovskite photovoltaic module photoelectric conversion efficiency intelligent measurement method, the system includes a perovskite photovoltaic module power generation efficiency processing module, a perovskite photovoltaic module power generation efficiency main factor analysis module, and a perovskite photovoltaic module power generation efficiency display module;
[0120] The power generation efficiency processing module of the perovskite photovoltaic module includes a power generation voltage collection unit of the perovskite photovoltaic module, a power generation current collection unit of the perovskite photovoltaic module, a power generation light intensity collection unit of the perovskite photovoltaic module, a power generation environmental factor collection unit of the perovskite photovoltaic module, a surface area storage unit of the perovskite photovoltaic module, and a power generation efficiency metering unit of the perovskite photovoltaic module;
[0121] The perovskite photovoltaic module power generation voltage acquisition unit collects the power generation voltage data of the perovskite photovoltaic module through the current and voltage monitor; the perovskite photovoltaic module power generation current acquisition unit collects the power generation current data of the perovskite photovoltaic module through the current and voltage monitor; the perovskite photovoltaic module power generation light intensity acquisition unit collects the power generation light intensity data of the perovskite photovoltaic module through the light intensity sensor; the perovskite photovoltaic module power generation environmental factor acquisition unit collects the power generation environmental factor data of the perovskite photovoltaic module through the photovoltaic power generation environmental parameter sensor; the perovskite photovoltaic module surface area storage unit is used to store the surface area data of the perovskite photovoltaic module; the perovskite photovoltaic module power generation efficiency measurement unit measures the power generation efficiency according to the collected voltage, current, and light intensity parameters of the perovskite photovoltaic module and the surface area data of the perovskite photovoltaic module, and generates the power generation efficiency data of the perovskite photovoltaic module;
[0122] The main factor analysis module of the power generation efficiency of the perovskite photovoltaic module includes a perovskite photovoltaic module power generation environmental factor parameter preprocessing unit, a perovskite photovoltaic module power generation environmental factor parameter numerical statistics unit, a perovskite photovoltaic module power generation efficiency numerical statistics unit, and a perovskite photovoltaic module power generation efficiency main factor evaluation unit;
[0123] The perovskite photovoltaic module power generation environmental factor parameter preprocessing unit performs numerical normalization processing on the perovskite photovoltaic module power generation environmental factor data to generate standard perovskite photovoltaic module power generation environmental factor data; the perovskite photovoltaic module power generation environmental factor parameter numerical statistics unit performs mean and standard deviation data processing based on the standard perovskite photovoltaic module power generation environmental factor data to generate the mean of the perovskite photovoltaic module power generation environmental factor and the standard deviation of the perovskite photovoltaic module power generation environmental factor respectively; the perovskite photovoltaic module power generation efficiency numerical statistics unit performs mean and standard deviation data processing based on the perovskite photovoltaic module power generation efficiency data to generate the mean of the perovskite photovoltaic module power generation efficiency and the standard deviation of the perovskite photovoltaic module power generation efficiency respectively; the perovskite photovoltaic module power generation efficiency main factor evaluation unit performs analysis of the factors affecting the power generation efficiency of the perovskite photovoltaic module based on the mean and standard deviation of the generated perovskite photovoltaic module power generation environmental factor and the mean and standard deviation of the perovskite photovoltaic module power generation efficiency, and constructs the main factor data affecting the power generation efficiency of the perovskite photovoltaic module;
[0124] The perovskite photovoltaic module power generation efficiency display module includes a perovskite photovoltaic module power generation efficiency measurement parameter processing unit and a perovskite photovoltaic module power generation efficiency measurement result feedback unit;
[0125] The perovskite photovoltaic module power generation efficiency measurement parameter processing unit is used to construct the perovskite photovoltaic module power generation efficiency measurement result data; the perovskite photovoltaic module power generation efficiency measurement result feedback unit transmits the perovskite photovoltaic module power generation efficiency measurement result data to the perovskite photovoltaic module power generation control terminal through the Internet of Things communication network.
[0126] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. An intelligent measurement method for photoelectric conversion efficiency of perovskite photovoltaic modules, characterized in that: The method comprises the following steps: S1, collecting the power generation voltage data of the perovskite photovoltaic module, the power generation current data of the perovskite photovoltaic module, the power generation light intensity data of the perovskite photovoltaic module, and the power generation environmental factor data of the perovskite photovoltaic module, wherein S1 comprises the following steps: S11. Measure the voltage data of the photovoltaic module power generation end in the geographical environment where the perovskite photovoltaic module is located online through the current and voltage monitor and generate a perovskite photovoltaic module power generation voltage data set , ;in Indicates the collected Perovskite photovoltaic module power generation voltage data, The unit of is volt; The current data of the photovoltaic module power generation end in the geographical environment where the perovskite photovoltaic module is located is measured online synchronously by the current and voltage monitor, and a data set of the power generation current of the perovskite photovoltaic module is generated. ,in Indicates the collected Perovskite photovoltaic module power generation current data, The unit is ampere; The light intensity sensor is used to synchronously measure the solar light intensity data received by the photovoltaic module surface in the geographical environment where the perovskite photovoltaic module is located online and generate a data set of the light intensity of the perovskite photovoltaic module. ,in Indicates the collected Perovskite photovoltaic module power generation light intensity data, The unit of is lux; The photovoltaic power generation environmental parameter sensor is used to synchronously measure the environmental factor parameters in the geographical environment of the perovskite photovoltaic module online and generate a data set of the environmental factor of the perovskite photovoltaic module power generation ; S2, measuring the power generation efficiency according to the collected voltage, current, light intensity parameters of the perovskite photovoltaic module and the surface area data of the perovskite photovoltaic module, and generating the power generation efficiency data of the perovskite photovoltaic module, wherein S2 comprises the following steps: S21. Establishing the surface area data of perovskite photovoltaic modules The surface area data of the perovskite photovoltaic module represents the surface area of the perovskite photovoltaic module facing the sun to receive sunlight and generate current. The unit is square meters; S22. According to the Chinese data , Chinese data , Chinese data With the Import the photovoltaic panel efficiency measurement formula to perform power generation efficiency data processing and generate a perovskite photovoltaic module power generation efficiency data set ,in Indicates the collected The power generation voltage data of the perovskite photovoltaic module , the power generation current data of the perovskite photovoltaic module And the perovskite photovoltaic module power generation light intensity data Corresponding perovskite photovoltaic module power generation efficiency data; , ∈ Random numbers in the interval; S3, performing numerical normalization processing on the power generation environmental factor data of the perovskite photovoltaic module to generate standard power generation environmental factor data of the perovskite photovoltaic module, wherein S3 comprises the following steps: S31, using the minimum-maximum normalization algorithm to normalize the data set of the environmental factors of the perovskite photovoltaic module power generation The data of environmental factors of power generation of perovskite photovoltaic modules are numerically normalized to generate a data set of environmental factors of power generation of standard perovskite photovoltaic modules. , ;in Indicates the collected Environmental factors of power generation of perovskite photovoltaic modules; Indicates the collected The first environmental factors corresponding to the power generation of perovskite photovoltaic modules Standard perovskite photovoltaic module power generation environmental factor data, , and Average value Random numbers in the interval; S4, performing mean and standard deviation data processing according to the standard perovskite photovoltaic module power generation environment factor data, and generating a mean value of the perovskite photovoltaic module power generation environment factor and a standard deviation of the perovskite photovoltaic module power generation environment factor, respectively, wherein S4 comprises the following steps: S41. Chinese data The mean formula and standard deviation formula are used to calculate the environmental factor data of standard perovskite photovoltaic module power generation. The mean and standard deviation of the measured numerical processing are used to generate the mean set of environmental factors of perovskite photovoltaic module power generation. ,in Indicates the collected The average value of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules; Generate a set of standard deviations of environmental factors for power generation of perovskite photovoltaic modules ,in Indicates the collected The standard deviation of the environmental factors of perovskite photovoltaic modules corresponding to the environmental factors of perovskite photovoltaic modules; S5, performing mean and standard deviation data processing based on the power generation efficiency data of the perovskite photovoltaic module to generate a mean value of the power generation efficiency of the perovskite photovoltaic module and a standard deviation of the power generation efficiency of the perovskite photovoltaic module, respectively, wherein S5 comprises the following steps: S51, when the and stated When the measurement is completed, Chinese data The mean formula and standard deviation formula are used to calculate the mean power generation efficiency of perovskite photovoltaic modules. The mean and standard deviation of the measured numerical processing are used to generate the mean power generation efficiency of the perovskite photovoltaic module. ; Generate the standard deviation of power generation efficiency of perovskite photovoltaic modules ; S6, constructing data of main factors affecting power generation efficiency of perovskite photovoltaic modules, wherein S6 comprises the following steps: S61, the Average value of environmental factors for power generation of perovskite photovoltaic modules to The numbering order of the environmental factors of the power generation of perovskite photovoltaic modules and the average power generation efficiency of the perovskite photovoltaic modules Perform numerical difference measurement to generate a set of mean differences between the power generation efficiency of perovskite photovoltaic modules and power generation environmental factors ,in Indicates the With the The corresponding difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors; Will Standard deviation of environmental factors of perovskite photovoltaic modules to The order of the types of environmental factors of the power generation of perovskite photovoltaic modules and the standard deviation of the power generation efficiency of the perovskite photovoltaic modules Perform numerical difference measurement to generate a set of standard deviations of power generation efficiency and power generation environmental factors of perovskite photovoltaic modules ,in Indicates the With the The corresponding standard deviation difference between the power generation efficiency of perovskite photovoltaic modules and the power generation environmental factors; S62, respectively search out the The difference between the power generation efficiency of the perovskite photovoltaic module with the smallest value and the mean value of the power generation environmental factors and stated The smallest value of the perovskite photovoltaic module power generation efficiency and the standard deviation of power generation environmental factors , and are marked as the extreme values of the mean difference between the power generation efficiency of perovskite photovoltaic modules and the power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules ; S63. According to the and stated The corresponding perovskite photovoltaic module power generation environmental factor type number is described in Search for the corresponding , execute the search to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Corresponding environmental factors for power generation of perovskite photovoltaic modules The specific steps are as follows: S631, initialization, updating the maximum number of iterations T, and updating the generated environmental factors to identify the individual positions of the white shark population; S632, speed update phase, Search the search space to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for power generation of matching perovskite photovoltaic modules ; S633, position update phase, environmental factors identify the white shark and update its position by moving towards the optimal prey. The position in the search space is Search the search space to find the extreme value of the difference between the power generation efficiency of perovskite photovoltaic modules and the mean value of power generation environmental factors The extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of perovskite photovoltaic modules Environmental factors for optimal or suboptimal matching of perovskite photovoltaic modules Prey; Environmental factors identify white sharks by moving toward the optimal environmental factors to identify the white shark position to get closer to the optimal prey position; S634, School Behavior Phase, Environmental Factors Identify White Shark Populations through Feeding Behavior to Retain Position in the Update Phase The optimal environmental factor in the search space identifies the location of the white shark, and updates the location of the individual white sharks identified by other environmental factors based on the optimal environmental factor to obtain Search the search space to find the extreme value of the difference between the power generation efficiency and the power generation environmental factors of the perovskite photovoltaic module and the extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of the perovskite photovoltaic module Environmental factors for power generation of matching perovskite photovoltaic modules ; S635: when the maximum number of iterations is met, output the extreme value of the difference between the power generation efficiency of the perovskite photovoltaic module and the mean value of the power generation environmental factors and the extreme value of the standard deviation of the power generation efficiency and power generation environmental factors of the perovskite photovoltaic module Environmental factors for power generation of matching perovskite photovoltaic modules ; S64, the perovskite photovoltaic module power generation environmental factor output in step S635 Indicates the data of the main factors affecting the power generation efficiency of perovskite photovoltaic modules ; S7, constructing the measurement result data of the power generation efficiency of the perovskite photovoltaic module and executing the push display operation, wherein S7 includes the following steps: S71, respectively 、The average power generation efficiency of the perovskite photovoltaic module 、The standard deviation of the power generation efficiency of the perovskite photovoltaic module Data on the main factors affecting the power generation efficiency of perovskite photovoltaic modules Generate perovskite photovoltaic module power generation efficiency measurement data by combining data ; S72, the Transmitted to the power generation control end of the perovskite photovoltaic module through the Internet of Things communication network.
2. An intelligent measurement system for photoelectric conversion efficiency of perovskite photovoltaic modules, characterized in that: Used to implement an intelligent measurement method for photoelectric conversion efficiency of a perovskite photovoltaic module according to claim 1.
Citation Information
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