Calibration method and device for key parameters of photovoltaic irradiance detector and medium

Abstract

The invention discloses a photovoltaic irradiance detector key parameter calibration method, a photovoltaic irradiance detector key parameter calibration device and a medium, relates to the field of photovoltaic detection, and solves the problem that a traditional photovoltaic irradiance detector key parameter calibration technology is poor in calibration effect. Comprising the following steps: S1, carrying out radiation detection deviation analysis on target radiation intensity detectors at different characteristic preset temperatures, and obtaining detector type division data according to an analysis result, S2, carrying out radiation verification result analysis on the target radiation intensity detectors, s3, carrying out light receiving angle calibration on the to-be-calibrated radiation detector, obtaining an optimal light receiving angle according to a calibration result, and carrying out the calibration of the light receiving angle of the to-be-calibrated radiation detector. And performing parameter calibration on the target initial light receiving angle by using the optimal light receiving angle. According to the invention, the accuracy and reliability of the calibration result of the key parameters of the photovoltaic irradiance detector can be improved.

Description

Technical Field

[0001] This invention belongs to the field of photovoltaic detection and relates to data calibration technology. Specifically, it is a calibration method, device and medium for key parameters of a photovoltaic irradiance detector. Background Technology

[0002] Existing calibration techniques for key parameters of photovoltaic irradiance detectors have the following drawbacks when calibrating these parameters: 1. When performing incident light angle response calibration, traditional calibration devices only focus on whether the detector's response to light radiation at different angles conforms to the cosine law. The operation method is to use simple optical equipment to simulate light rays incident at different angles and then measure the detector's output signal. However, this process does not fully consider the influence of ambient temperature changes on the detector's material properties, which can easily lead to deviations between the output signal at a specific incident light angle and the theoretical cosine response. Traditional calibration methods cannot capture this influence caused by the combined effect of temperature and incident light angle, thus reducing the accuracy and reliability of the calibration results. 2. In the temperature coefficient calibration process, traditional calibration devices simply change the detector's operating temperature and record the relationship between its output signal and temperature. This approach fails to recognize that changes in irradiance may interact with temperature effects, thereby jointly affecting the detector's performance and limiting the detector's application accuracy in different environments.

[0003] To this end, we propose a calibration method, device, and medium for key parameters of photovoltaic irradiance detectors. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the purpose of this invention is to provide a calibration method for key parameters of photovoltaic irradiance detectors, aiming to improve the accuracy and reliability of the calibration method for key parameters of photovoltaic irradiance detectors. To achieve the above objectives, the present invention adopts the following technical solution: a calibration method for key parameters of a photovoltaic irradiance detector, comprising the following steps: Step S1: Obtain the target radiometer and set several characteristic preset temperatures for the working environment of the target radiometer. Perform radiation detection deviation analysis on the target radiometers at different characteristic preset temperatures, and obtain detector type classification data based on the analysis results. Step S2: Analyze the radiation verification results of the target radiometer based on the radiation verification data collected. Based on the analysis results, classify the target radiometer into normal radiation detectors and radiation detectors to be calibrated, and obtain detector type classification data. Step S3: Divide the data according to the detector type and perform light-receiving angle calibration on the radiation detector to be calibrated. Obtain the optimal light-receiving angle based on the calibration results, and use the optimal light-receiving angle to calibrate the parameters of the target's initial light-receiving angle.

[0005] Furthermore, in step S1, the specific steps are as follows: Step S11: Acquire the photovoltaic radiance detectors that need to be calibrated, and arbitrarily select one target radiance detector from the acquired photovoltaic radiance detectors. Step S12: Obtain the radiometric calibration device to which the target radiometric detector belongs, and obtain the target radiometric calibration device; obtain the initial light-receiving angle corresponding to the target radiometric detector, and obtain the target initial light-receiving angle. Step S13: During the process of monitoring the parameters of the target radiance detector using the target radiance calibration device, the platform that can rotate around the horizontal axis corresponding to the target radiance calibration device is adjusted to the initial light-receiving angle of the target.

[0006] Furthermore, in step S1, the specific steps are as follows: Step S14: Obtain the ambient temperature difference in the area where the target radiance detector is deployed to obtain the detector's operating temperature range. Divide the detector's operating temperature range into several temperature sub-ranges. Collect the intermediate temperature value of each temperature sub-range to obtain multiple feature preset temperatures. Randomly select a sample preset temperature from the obtained feature preset temperatures. Step S15: Adjust the constant temperature and humidity environment chamber corresponding to the target radiometer calibration device to the preset sample temperature, perform radiation detection analysis on the target radiometer at the preset sample temperature, and obtain the radiation detection anomaly degree corresponding to the preset sample temperature based on the analysis results. Step S16: Obtain the radiation detection anomaly degree corresponding to each preset temperature of the feature to obtain radiation verification data.

[0007] Furthermore, in step S15, the specific steps are as follows: The period when the temperature of the constant temperature and humidity chamber is at the preset temperature of the sample is set as the characteristic environment monitoring period. Real-time light radiance is collected by the target radiance detector during the characteristic environment monitoring period, and the collection results are plotted as a light radiance polygon. The points where changes in real-time irradiance occur are marked according to the irradiance polygon, resulting in multiple irradiance monitoring change points. Then, one sample irradiance change point is randomly selected from the multiple irradiance monitoring change points. The time values ​​corresponding to the points where the sample radiance changes are obtained, resulting in the first radiance change time value. During the characteristic environmental monitoring period, the time points at which the target radiance calibration device adjusts the illumination radiance are obtained, resulting in multiple radiance adjustment time values. The time difference between each radiance adjustment time value and the first radiance change time value is obtained, and the multiple time value differences are compared. The smallest time difference is marked as the radiance detection time deviation. A radiance detection time deviation reference range is set. If the radiance detection time deviation is not within the radiance detection time deviation reference range, the sample radiance change point is marked as an abnormal radiance change point.

[0008] Furthermore, in step S15, the specific steps are as follows: If the radiometric detection time deviation is within the radiometric detection time deviation reference range, the radiometric value of the target radiometric calibration device before the current light irradiance adjustment is obtained to obtain the first adjusted light irradiance. The radiometric value of the target radiometric calibration device after the current light irradiance adjustment is obtained to obtain the second adjusted light irradiance. The ratio of the absolute value of the difference between the first adjusted light irradiance and the second adjusted light irradiance to the first adjusted light irradiance is calculated to obtain the actual light irradiance adjustment change. The first detected irradiance is obtained by acquiring the detected irradiance at the time point before the first irradiance change time value of the target irradiance detector. The second detected irradiance is obtained by acquiring the detected irradiance at the time point corresponding to the first irradiance change time value of the target irradiance detector. The ratio of the absolute value of the difference between the first and second detected irradiance to the first detected irradiance is calculated to obtain the actual irradiance detection change rate. Calculate the difference between the actual change in light radiation regulation and the actual change in light radiation detection, and take the absolute value of the difference to obtain the light radiation detection deviation. Set a reference range for the light radiation detection deviation. If the light radiation detection deviation is within the reference range, mark the sample radiance change point as a normal radiation change point. If the light radiation detection deviation is not within the reference range, mark the sample radiance change point as an abnormal radiation change point. Each radiation monitoring point is classified into different types. The number of points with normal radiation changes is recorded as A1, and the number of points with abnormal radiation changes is recorded as A2. The radiation detection anomaly degree corresponding to the preset temperature of the sample is obtained by calculating A2 / (A1+A2).

[0009] Furthermore, in step S2, the specific steps are as follows: Acquire radiation verification data, obtain the radiation detection anomaly degree corresponding to each feature preset temperature based on the radiation verification data, compare the values ​​of multiple obtained radiation detection anomalies, mark the radiation detection anomaly degree with the largest value as the peak detection anomaly degree, and set the preset range of detection anomaly degree. If the peak detection anomaly is within the preset range of detection anomaly, the target radiance detector is classified as a normal radiation detector. If the peak detection anomaly is not within the preset range of detection anomaly, the target radiance detector is classified as a radiation detector to be calibrated, thus obtaining detector type classification data.

[0010] Furthermore, in step S3, the specific steps are as follows: Step S31: Obtain detector type classification data, and acquire the radiation detector to be calibrated according to the detector type classification data; Step S32: Obtain the incident light angle that can be adjusted by the target radiance calibration device's platform that can rotate around the horizontal axis, and arbitrarily select a sample incident light angle from it; Step S33: Perform temperature-illuminance irradiance detection analysis on the radiation detector to be calibrated at the incident light angle of the sample, and obtain the comprehensive weighted anomaly degree of radiation detection corresponding to the incident light angle of the sample based on the analysis results; Step S34: Obtain the radiation detection weighted anomaly degree corresponding to each incident light angle, compare the values ​​of the multiple obtained radiation detection weighted anomalies, set the incident light angle corresponding to the minimum radiation detection weighted anomaly degree as the optimal light-receiving angle, and adjust the light-receiving angle value corresponding to the radiation detector to be calibrated to the optimal light-receiving angle.

[0011] Furthermore, in step S33, the specific steps are as follows: The detector's operating temperature range is divided into several temperature sub-ranges. The median temperature value of each temperature sub-range is collected to obtain multiple preset characteristic temperatures. Arbitrarily select a sample temperature sub-interval from the multiple acquired temperature sub-intervals, and mark the feature preset temperature corresponding to the sample temperature sub-interval as the sample preset temperature. Several historical temperature monitoring dates were selected, and the ambient temperature of the target radiance detector installation area was collected within the historical temperature monitoring dates. Based on the collection results, the ratio of the duration of the ambient temperature in the sample temperature sub-interval to the duration of the day was obtained. The average of the duration of multiple temperature intervals was calculated to obtain the radiation analysis weight corresponding to the preset sample temperature. The constant temperature and humidity chamber corresponding to the target radiometric calibration device is adjusted to the preset temperature of the sample, and the radiometric anomaly of the radiation detector to be calibrated at the preset temperature of the sample is collected. The product of the radiometric analysis weight and the radiometric anomaly is calculated to obtain the radiometric weighted anomaly corresponding to the preset temperature of the sample. The radiation-weighted anomaly degree corresponding to the preset temperature of each feature is obtained and summed to obtain the radiation detection comprehensive weighted anomaly degree corresponding to the incident light angle of the sample.

[0012] A calibration device for key parameters of a photovoltaic irradiance detector, comprising: Data acquisition module: acquires target radiance detectors, sets several characteristic preset temperatures for the working environment of the target radiance detectors, performs radiation detection deviation analysis on target radiance detectors at different characteristic preset temperatures, and obtains detector type classification data based on the analysis results; Data Analysis Module: Analyzes the radiation verification results of the target radiometer based on the radiation verification data collected. Based on the analysis results, the target radiometer is classified into normal radiation detectors and radiation detectors to be calibrated, thus obtaining detector type classification data. Parameter calibration module: Based on the detector type, the data is divided to perform light angle calibration on the radiation detector to be calibrated, the optimal light angle is obtained based on the calibration results, and the optimal light angle is used to perform parameter calibration on the initial light angle of the target.

[0013] A storage medium for storing a computer program, which, when executed by a processor, implements a calibration method for key parameters of a photovoltaic irradiance detector.

[0014] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. This invention acquires the target radiance detector at the initial light-receiving angle of the target, and sets several characteristic preset temperatures for the working environment of the target radiance detector. It performs radiation detection deviation analysis on the target radiance detector at different characteristic preset temperatures to determine the key parameter calibration requirements of the target radiance detector. Based on the judgment results, it performs targeted parameter calibration on the target radiance detector, which can ensure the relevance of the calibration process and improve the utilization efficiency of calibration resources. 2. When calibrating the light-receiving angle of the radiation detector to be calibrated, this invention combines the time-varying distribution of ambient temperature in the installation area of ​​the radiation detector to be calibrated during historical periods to perform a radiometric analysis on different incident light angles. Based on the analysis results, the comprehensive weighted anomaly degree of radiation detection corresponding to different incident light angles is obtained. The optimal light-receiving angle is selected based on the comprehensive weighted anomaly degree of radiation detection, and the light-receiving angle value corresponding to the radiation detector to be calibrated is calibrated accordingly, thereby ensuring the accuracy and reliability of the calibration results. Attached Figure Description

[0015] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0016] Figure 1 This is a diagram illustrating the implementation steps of the present invention; Figure 2 This is a schematic diagram of the platform that can rotate around a horizontal axis in this invention. Figure 3 Overall system block diagram of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0018] Example 1

[0019] Please see Figure 1 This invention provides a technical solution: a method, apparatus, and medium for calibrating key parameters of a photovoltaic irradiance detector, comprising the following steps: Step S1: Obtain the target radiometer and set several characteristic preset temperatures for the working environment of the target radiometer. Perform radiation detection deviation analysis on the target radiometers at different characteristic preset temperatures, and obtain detector type classification data based on the analysis results. The specific steps in step S1 are as follows: Acquire the radiance detectors for photovoltaic applications that require detector parameter calibration, and arbitrarily select one target radiance detector from the acquired photovoltaic radiance detectors. It should be noted here that: In this application, the photovoltaic radiance detector specifically refers to the device that converts incident solar energy into measurable electrical signals (such as current or voltage) through the photoelectric conversion principle, thereby quantifying the radiant power received per unit area (unit: W / m²).

[0020] The radiometric calibration device to which the target radiometric detector belongs is acquired, and the initial light-receiving angle corresponding to the target radiometric detector is acquired, thus obtaining the target initial light-receiving angle. It should be noted here that: In this application, the initial light-receiving angle of the target involved here is specifically the light-receiving angle of the target radiometer in the actual detection environment, that is, the angle between the detector receiving surface and the optical axis, and the optical axis involved here is specifically the central axis of the incident light.

[0021] Please see Figure 3 During the process of using the target radiance calibration device to monitor the parameters of the target radiance detector, the platform that can rotate around the horizontal axis corresponding to the target radiance calibration device is adjusted to the initial light-receiving angle of the target. The ambient temperature difference of the area where the target radiance detector is deployed is obtained to obtain the detector's operating temperature range. The detector's operating temperature range is divided into several temperature sub-ranges. The intermediate temperature value of the interval corresponding to each temperature sub-range is collected to obtain multiple feature preset temperatures. Then, a sample preset temperature is randomly selected from the obtained feature preset temperatures.

[0022] It should be noted here that: In this application, if the detector's operating temperature range is [-15, 45], and the divided temperature sub-ranges include [-15, -10], [-10, -5], [-5, 0], [0, 5], [5, 10], [10, 15], [15, 20], [20, 25], [25, 30], [30, 35], [35, 40], [40, 45], then the feature preset temperatures include: -12.5, -7.5, -2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5.

[0023] The constant temperature and humidity environment chamber corresponding to the target radiance calibration device is adjusted to the sample preset temperature, and the time period when the temperature of the constant temperature and humidity environment chamber is at the sample preset temperature is set as the characteristic environment monitoring period. Real-time light radiance is collected from the target radiance detector during the characteristic environment monitoring period, and the collection results are plotted as a light radiance polygon. The points where changes in real-time irradiance occur are marked according to the irradiance polygon, resulting in multiple irradiance monitoring change points. Then, one sample irradiance change point is randomly selected from the multiple irradiance monitoring change points. The time values ​​corresponding to the sample radiance change points are obtained to obtain the first radiance change time value. During the characteristic environment monitoring period, the time points when the target radiance calibration device adjusts the light radiance are obtained to obtain multiple radiance adjustment time values. The time difference between each radiance adjustment time value and the first radiance change time value is obtained, and the multiple time value differences are compared. The smallest time difference is marked as the radiance detection time deviation. A radiance detection time deviation reference range is set. If the radiance detection time deviation is not within the radiance detection time deviation reference range, the sample radiance change point is marked as an abnormal radiance change point. It should be noted here that: In this application, the normal radiation change points referred to herein include cases where the radiometric detection time deviation is within the boundary of the radiometric detection time deviation reference interval. The lower limit of the reference interval for radiometric detection time deviation involved here is 0, that is, there is no radiometric detection time. Historical radiometric change points that are judged to be normal radiometric change points are obtained, and the radiometric detection time deviation corresponding to each historical radiometric change point is obtained. The radiometric detection time deviation with the largest value is set as the upper limit of the reference interval for radiometric detection time deviation.

[0024] If the radiometric detection time deviation is within the radiometric detection time deviation reference range, the radiometric value of the target radiometric calibration device before the current light irradiance adjustment is obtained to obtain the first adjusted light irradiance. The radiometric value of the target radiometric calibration device after the current light irradiance adjustment is obtained to obtain the second adjusted light irradiance. The ratio of the absolute value of the difference between the first adjusted light irradiance and the second adjusted light irradiance to the first adjusted light irradiance is calculated to obtain the actual light irradiance adjustment change. The first detected irradiance is obtained by acquiring the detected irradiance at the time point before the first irradiance change time value of the target irradiance detector. The second detected irradiance is obtained by acquiring the detected irradiance at the time point corresponding to the first irradiance change time value of the target irradiance detector. The ratio of the absolute value of the difference between the first and second detected irradiance to the first detected irradiance is calculated to obtain the actual irradiance detection change rate. Calculate the difference between the actual change in light radiation regulation and the actual change in light radiation detection, and take the absolute value of the difference to obtain the light radiation detection deviation. Set a reference range for the light radiation detection deviation. If the light radiation detection deviation is within the reference range, mark the sample radiance change point as a normal radiation change point. If the light radiation detection deviation is not within the reference range, mark the sample radiance change point as an abnormal radiation change point. It should be noted here that: In this application, the normal radiation change points referred to herein include cases where the light radiation detection deviation is within the boundary of the light radiation detection deviation reference range; The lower limit of the reference range for light radiation detection deviation involved here is 0, that is, the detected light radiation is completely consistent with the adjusted light radiation. Historical radiation change points that are judged as normal radiation change points are acquired, and the light radiation detection deviation corresponding to each historical radiation change point is acquired. The light radiation detection deviation with the largest value is set as the upper limit of the reference range for light radiation detection deviation.

[0025] Repeat the process of classifying the points where the radiance changes in the sample. Classify each point where the radiance changes in the sample, and count the number of points where the radiance changes are normal as A1 and the number of points where the radiance changes are abnormal as A2. Calculate A2 / (A1+A2) to obtain the radiation detection anomaly degree corresponding to the preset temperature of the sample. Repeat the process of acquiring the radiation detection anomaly corresponding to the preset temperature of the sample, and acquire the radiation detection anomaly corresponding to each feature preset temperature to obtain radiation verification data. Step S2: Analyze the radiation verification results of the target radiometer based on the radiation verification data collected. Based on the analysis results, classify the target radiometer into normal radiation detectors and radiation detectors to be calibrated, and obtain detector type classification data. In step S2, the specific steps are as follows: Acquire radiation verification data, obtain the radiation detection anomaly degree corresponding to each feature preset temperature based on the radiation verification data, compare the values ​​of multiple obtained radiation detection anomalies, mark the radiation detection anomaly degree with the largest value as the peak detection anomaly degree, and set the preset range of detection anomaly degree. If the peak detection anomaly is within the preset range of detection anomaly, the target radiometer is classified as a normal radiometer; if the peak detection anomaly is not within the preset range of detection anomaly, the target radiometer is classified as a radiometer to be calibrated, thus obtaining the detector type classification data. It should be noted here that: The normal radiation detectors mentioned here include those where the peak detection anomaly is within a preset range of detection anomaly. For historical radiation detectors that are judged to be normal radiation detectors, the peak detection anomaly degree corresponding to each historical radiation detector is obtained, and the obtained peak detection anomaly degrees are compared. The peak detection anomaly degree with the smallest value is marked as the lower limit of the preset range of detection anomaly degree, and the peak detection anomaly degree with the largest value is marked as the upper limit of the preset range of detection anomaly degree.

[0026] It should be noted here that: The above steps simulate the actual working environment by setting several preset temperatures and conducting radiation detection deviation analysis to determine the calibration requirements of key parameters. This approach breaks through the limitations of traditional calibration methods that calibrate each parameter independently and ignore the mutual influence between parameters. It can accurately identify the key parameters that the target radiometer truly needs to be calibrated under different temperature conditions. Based on the above accurate judgment, targeted parameter calibration is performed, avoiding unnecessary calibration operations. This allows calibration resources to be concentrated on the parameters that truly need adjustment, greatly improving the utilization efficiency of calibration resources. At the same time, it ensures a high degree of relevance in the calibration process, thereby improving the overall calibration quality and performance stability of the target radiometer.

[0027] Step S3: According to the detector type, divide the data and perform light-receiving angle calibration on the radiation detector to be calibrated. Obtain the optimal light-receiving angle based on the calibration results, and use the optimal light-receiving angle to calibrate the parameters of the target's initial light-receiving angle. The specific steps in step S3 are as follows: Obtain detector type classification data, and then acquire the radiation detector to be calibrated based on the detector type classification data; The incident light angle that can be adjusted by the platform of the target radiance calibration device can rotate around the horizontal axis is obtained, and a sample incident light angle is arbitrarily selected from it. Temperature-illuminance irradiance detection analysis was performed on the radiation detector to be calibrated at the incident light angle of the sample, and the comprehensive weighted anomaly degree of radiation detection corresponding to the incident light angle of the sample was obtained based on the analysis results. Specifically as follows: The detector's operating temperature range is divided into several temperature sub-ranges. The median temperature value of each temperature sub-range is collected to obtain multiple preset characteristic temperatures. Arbitrarily select a sample temperature sub-interval from the multiple acquired temperature sub-intervals, and mark the feature preset temperature corresponding to the sample temperature sub-interval as the sample preset temperature. Several historical temperature monitoring dates were selected, and the ambient temperature of the target radiance detector installation area was collected within the historical temperature monitoring dates. Based on the collection results, the ratio of the duration of the ambient temperature in the sample temperature sub-interval to the duration of the day was obtained. The average of the duration of multiple temperature intervals was calculated to obtain the radiation analysis weight corresponding to the preset sample temperature. The constant temperature and humidity chamber corresponding to the target radiometric calibration device is adjusted to the preset temperature of the sample, and the radiometric anomaly of the radiation detector to be calibrated at the preset temperature of the sample is collected. The product of the radiometric analysis weight and the radiometric anomaly is calculated to obtain the radiometric weighted anomaly corresponding to the preset temperature of the sample. Repeat the process of obtaining the radiation weighted anomaly degree corresponding to the preset temperature of the sample, obtain the radiation weighted anomaly degree corresponding to each preset temperature of the feature and sum them to obtain the radiation detection comprehensive weighted anomaly degree corresponding to the incident light angle of the sample. It should be noted here that: In this application, the radiation-weighted anomaly degree corresponding to each feature preset temperature includes the radiation-weighted anomaly degree corresponding to the sample preset temperature; Repeat the process of obtaining the comprehensive weighted anomaly of the radiation detection corresponding to the incident light angle of the sample, obtain the comprehensive weighted anomaly of the radiation detection corresponding to each incident light angle, compare the values ​​of the obtained comprehensive weighted anomalies of the radiation detection, set the incident light angle corresponding to the minimum comprehensive weighted anomaly of the radiation detection as the optimal light-receiving angle, and adjust the light-receiving angle value corresponding to the radiation detector to be calibrated to the optimal light-receiving angle. It should be noted here that: In this application, if there are multiple minimum radiation detection weighted anomalies, the incident angle corresponding to any one of the minimum radiation detection weighted anomalies can be set as the optimal light-receiving angle.

[0028] It should be noted here that: In step S3 above, when calibrating the incident angle of the radiation detector, an innovative approach is taken to combine the historical temperature distribution of the installation area over time. A radiometric traversal analysis is performed for different incident angles, fully considering the combined influence of the two key factors of temperature and incident angle in the actual environment. This allows for a more comprehensive and realistic reflection of the radiation detector's operating status under different conditions. By obtaining the comprehensive weighted anomaly of the radiation detector corresponding to different incident angles and selecting the optimal incident angle for calibration based on this, the calibration results closely match the actual usage scenario. This effectively avoids calibration deviations caused by neglecting the combined effects of environmental factors, thereby ensuring the accuracy and reliability of the calibration results and improving the performance of the radiation detector in practical applications.

[0029] Second aspect: Please refer to Figure 2 Based on another concept of the same invention, a calibration device for key parameters of a photovoltaic irradiance detector is proposed. The specific working process of each module is as follows: The data acquisition module acquires the target radiance detector and sets several characteristic preset temperatures for the working environment of the target radiance detector. It performs radiation detection deviation analysis on the target radiance detectors at different characteristic preset temperatures and obtains detector type classification data based on the analysis results. Specifically as follows: Acquire the radiance detectors for photovoltaic applications that require detector parameter calibration, and arbitrarily select one target radiance detector from the acquired photovoltaic radiance detectors. It should be noted here that: In this application, the photovoltaic radiance detector specifically refers to the device that converts incident solar energy into measurable electrical signals (such as current or voltage) through the photoelectric conversion principle, thereby quantifying the radiant power received per unit area (unit: W / m²).

[0030] The radiometric calibration device to which the target radiometric detector belongs is acquired, and the initial light-receiving angle corresponding to the target radiometric detector is acquired, thus obtaining the target initial light-receiving angle. It should be noted here that: In this application, the initial light-receiving angle of the target involved here is specifically the light-receiving angle of the target radiometer in the actual detection environment, that is, the angle between the detector receiving surface and the optical axis, and the optical axis involved here is specifically the central axis of the incident light.

[0031] During the process of using the target radiance calibration device to monitor the parameters of the target radiance detector, the platform that can rotate around the horizontal axis corresponding to the target radiance calibration device is adjusted to the initial light-receiving angle of the target. The ambient temperature difference of the area where the target radiance detector is deployed is obtained to obtain the detector's operating temperature range. The detector's operating temperature range is divided into several temperature sub-ranges. The intermediate temperature value of the interval corresponding to each temperature sub-range is collected to obtain multiple feature preset temperatures. Then, a sample preset temperature is randomly selected from the obtained feature preset temperatures.

[0032] It should be noted here that: In this application, if the detector's operating temperature range is [-15, 45], and the divided temperature sub-ranges include [-15, -10], [-10, -5], [-5, 0], [0, 5], [5, 10], [10, 15], [15, 20], [20, 25], [25, 30], [30, 35], [35, 40], [40, 45], then the feature preset temperatures include: -12.5, -7.5, -2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5.

[0033] The constant temperature and humidity environment chamber corresponding to the target radiance calibration device is adjusted to the sample preset temperature, and the time period when the temperature of the constant temperature and humidity environment chamber is at the sample preset temperature is set as the characteristic environment monitoring period. Real-time light radiance is collected from the target radiance detector during the characteristic environment monitoring period, and the collection results are plotted as a light radiance polygon. The points where changes in real-time irradiance occur are marked according to the irradiance polygon, resulting in multiple irradiance monitoring change points. Then, one sample irradiance change point is randomly selected from the multiple irradiance monitoring change points. The time values ​​corresponding to the sample radiance change points are obtained to obtain the first radiance change time value. During the characteristic environment monitoring period, the time points when the target radiance calibration device adjusts the light radiance are obtained to obtain multiple radiance adjustment time values. The time difference between each radiance adjustment time value and the first radiance change time value is obtained, and the multiple time value differences are compared. The smallest time difference is marked as the radiance detection time deviation. A radiance detection time deviation reference range is set. If the radiance detection time deviation is not within the radiance detection time deviation reference range, the sample radiance change point is marked as an abnormal radiance change point. It should be noted here that: In this application, the normal radiation change points referred to herein include cases where the radiometric detection time deviation is within the boundary of the radiometric detection time deviation reference interval. The lower limit of the reference interval for radiometric detection time deviation involved here is 0, that is, there is no radiometric detection time. Historical radiometric change points that are judged to be normal radiometric change points are obtained, and the radiometric detection time deviation corresponding to each historical radiometric change point is obtained. The radiometric detection time deviation with the largest value is set as the upper limit of the reference interval for radiometric detection time deviation.

[0034] If the radiometric detection time deviation is within the radiometric detection time deviation reference range, the radiometric value of the target radiometric calibration device before the current light irradiance adjustment is obtained to obtain the first adjusted light irradiance. The radiometric value of the target radiometric calibration device after the current light irradiance adjustment is obtained to obtain the second adjusted light irradiance. The ratio of the absolute value of the difference between the first adjusted light irradiance and the second adjusted light irradiance to the first adjusted light irradiance is calculated to obtain the actual light irradiance adjustment change. The first detected irradiance is obtained by acquiring the detected irradiance at the time point before the first irradiance change time value of the target irradiance detector. The second detected irradiance is obtained by acquiring the detected irradiance at the time point corresponding to the first irradiance change time value of the target irradiance detector. The ratio of the absolute value of the difference between the first and second detected irradiance to the first detected irradiance is calculated to obtain the actual irradiance detection change rate. Calculate the difference between the actual change in light radiation regulation and the actual change in light radiation detection, and take the absolute value of the difference to obtain the light radiation detection deviation. Set a reference range for the light radiation detection deviation. If the light radiation detection deviation is within the reference range, mark the sample radiance change point as a normal radiation change point. If the light radiation detection deviation is not within the reference range, mark the sample radiance change point as an abnormal radiation change point. It should be noted here that: In this application, the normal radiation change points referred to herein include cases where the light radiation detection deviation is within the boundary of the light radiation detection deviation reference range; The lower limit of the reference range for light radiation detection deviation involved here is 0, that is, the detected light radiation is completely consistent with the adjusted light radiation. Historical radiation change points that are judged as normal radiation change points are acquired, and the light radiation detection deviation corresponding to each historical radiation change point is acquired. The light radiation detection deviation with the largest value is set as the upper limit of the reference range for light radiation detection deviation.

[0035] Repeat the process of classifying the points where the radiance changes in the sample. Classify each point where the radiance changes in the sample, and count the number of points where the radiance changes are normal as A1 and the number of points where the radiance changes are abnormal as A2. Calculate A2 / (A1+A2) to obtain the radiation detection anomaly degree corresponding to the preset temperature of the sample. Repeat the process of acquiring the radiation detection anomaly corresponding to the preset temperature of the sample, and acquire the radiation detection anomaly corresponding to each feature preset temperature to obtain radiation verification data. The data analysis module analyzes the radiation verification results of the target radiance detector based on the radiation verification data collected. Based on the analysis results, the target radiance detector is divided into normal radiation detectors and radiation detectors to be calibrated, thus obtaining detector type classification data. Specifically as follows: Acquire radiation verification data, obtain the radiation detection anomaly degree corresponding to each feature preset temperature based on the radiation verification data, compare the values ​​of multiple obtained radiation detection anomalies, mark the radiation detection anomaly degree with the largest value as the peak detection anomaly degree, and set the preset range of detection anomaly degree. If the peak detection anomaly is within the preset range of detection anomaly, the target radiometer is classified as a normal radiometer; if the peak detection anomaly is not within the preset range of detection anomaly, the target radiometer is classified as a radiometer to be calibrated, thus obtaining the detector type classification data. It should be noted here that: The normal radiation detectors mentioned here include those where the peak detection anomaly is within a preset range of detection anomaly. For historical radiation detectors that are judged to be normal radiation detectors, the peak detection anomaly degree corresponding to each historical radiation detector is obtained, and the obtained peak detection anomaly degrees are compared. The peak detection anomaly degree with the smallest value is marked as the lower limit of the preset range of detection anomaly degree, and the peak detection anomaly degree with the largest value is marked as the upper limit of the preset range of detection anomaly degree.

[0036] The parameter calibration module divides the data according to the detector type, performs light angle calibration on the radiation detector to be calibrated, obtains the optimal light angle based on the calibration results, and uses the optimal light angle to perform parameter calibration on the initial light angle of the target. Specifically as follows: Obtain detector type classification data, and then acquire the radiation detector to be calibrated based on the detector type classification data; The incident light angle that can be adjusted by the platform of the target radiance calibration device can rotate around the horizontal axis is obtained, and a sample incident light angle is arbitrarily selected from it. Temperature-illuminance irradiance detection analysis was performed on the radiation detector to be calibrated at the incident light angle of the sample, and the comprehensive weighted anomaly degree of radiation detection corresponding to the incident light angle of the sample was obtained based on the analysis results. Specifically as follows: The detector's operating temperature range is divided into several temperature sub-ranges. The median temperature value of each temperature sub-range is collected to obtain multiple preset characteristic temperatures. Arbitrarily select a sample temperature sub-interval from the multiple acquired temperature sub-intervals, and mark the feature preset temperature corresponding to the sample temperature sub-interval as the sample preset temperature. Several historical temperature monitoring dates were selected, and the ambient temperature of the target radiance detector installation area was collected within the historical temperature monitoring dates. Based on the collection results, the ratio of the duration of the ambient temperature in the sample temperature sub-interval to the duration of the day was obtained. The average of the duration of multiple temperature intervals was calculated to obtain the radiation analysis weight corresponding to the preset sample temperature. The constant temperature and humidity chamber corresponding to the target radiometric calibration device is adjusted to the preset temperature of the sample, and the radiometric anomaly of the radiation detector to be calibrated at the preset temperature of the sample is collected. The product of the radiometric analysis weight and the radiometric anomaly is calculated to obtain the radiometric weighted anomaly corresponding to the preset temperature of the sample. Repeat the process of obtaining the radiation weighted anomaly degree corresponding to the preset temperature of the sample, obtain the radiation weighted anomaly degree corresponding to each preset temperature of the feature and sum them to obtain the radiation detection comprehensive weighted anomaly degree corresponding to the incident light angle of the sample. It should be noted here that: In this application, the radiation-weighted anomaly degree corresponding to each feature preset temperature includes the radiation-weighted anomaly degree corresponding to the sample preset temperature; Repeat the process of obtaining the comprehensive weighted anomaly of the radiation detection corresponding to the incident light angle of the sample, obtain the comprehensive weighted anomaly of the radiation detection corresponding to each incident light angle, compare the values ​​of the obtained comprehensive weighted anomalies of the radiation detection, set the incident light angle corresponding to the minimum comprehensive weighted anomaly of the radiation detection as the optimal light-receiving angle, and adjust the light-receiving angle value corresponding to the radiation detector to be calibrated to the optimal light-receiving angle. It should be noted here that: In this application, if there are multiple minimum radiation detection weighted anomalies, the incident angle corresponding to any one of the minimum radiation detection weighted anomalies can be set as the optimal light-receiving angle.

[0037] Third aspect A storage medium for storing a computer program, which, when executed by a processor, implements a calibration method for key parameters of a photovoltaic irradiance detector.

[0038] Compared to the problems described in the background technology, this invention takes "parameter correlation calibration" as its core design concept. Through the rational collaborative design of the replaceable light source system, servo motor driven optical platform, constant temperature and humidity environment chamber, and correlation algorithm processing module, it breaks through the limitations of traditional "independent measurement of single parameters" and realizes the synchronous measurement and coupled calibration of cosine response function, temperature coefficient, and irradiance response. At the same time, it is compatible with multi-specification detectors and multi-condition environments. While ensuring calibration accuracy, it realizes full-process automated control, improving overall work efficiency and practicality.

[0039] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method of calibrating key parameters of an irradiance probe for photovoltaic applications, characterized in that, The application relates to a photovoltaic radiation degree detector parameter calibration method. Step S1: a target radiation degree detector is acquired, and a characteristic preset temperature is set for the working environment of the target radiation degree detector; radiation detection deviation analysis is carried out on the target radiation degree detector in different characteristic preset temperatures; and detector type classification data is obtained; Step S2: radiation calibration result analysis is carried out on the target radiation degree detector according to radiation calibration collection data; the target radiation degree detector is classified into a normal radiation detector and a calibration radiation detector according to the analysis result; and detector type classification data is obtained; Step S3: light receiving angle calibration is carried out on the calibration radiation detector according to the detector type classification data; an optimal light receiving angle is obtained according to the calibration result; and parameter calibration is carried out on the target initial light receiving angle by using the optimal light receiving angle.

2. The method of calibrating key parameters of an irradiance detector for photovoltaic applications according to claim 1, characterized in that, In the step S1, the specific steps are as follows: Step S11: a photovoltaic radiation degree detector needing detector parameter calibration is acquired, and a target radiation degree detector is randomly selected from the acquired plurality of photovoltaic radiation degree detectors; Step S12: a radiation degree calibration device to which the target radiation degree detector belongs is acquired to obtain a target radiation degree calibration device; and a target initial light receiving angle corresponding to the target radiation degree detector is acquired to obtain the target initial light receiving angle; Step S13: in the process of parameter monitoring of the target radiation degree detector by using the target radiation degree calibration device, a horizontal-axis rotating platform corresponding to the target radiation degree calibration device is adjusted to the target initial light receiving angle.

3. The method of calibrating a key parameter of an irradiance detector for photovoltaic applications according to claim 2, characterized in that, In the step S1, the specific steps are as follows: Step S14: an environment temperature difference of a region where the target radiation degree detector is arranged is acquired to obtain a detector working temperature interval; the detector working temperature interval is divided into a plurality of temperature subintervals; an interval temperature middle value corresponding to each temperature subinterval is collected to obtain a plurality of characteristic preset temperatures; and a sample preset temperature is randomly selected; Step S15: a constant-temperature and constant-humidity environment bin is adjusted to the sample preset temperature; radiation detection analysis is carried out on the target radiation degree detector in the sample preset temperature; and a radiation detection abnormality degree corresponding to the sample preset temperature is acquired according to the analysis result; Step S16: the radiation detection abnormality degree corresponding to each characteristic preset temperature is acquired respectively to obtain radiation calibration collection data.

4. The method of calibrating a key parameter of an irradiance detector for photovoltaic applications according to claim 3, characterized in that, In the step S15, the specific steps are as follows: A period when the constant-temperature and constant-humidity environment bin temperature is at the sample preset temperature is set as a characteristic environment monitoring period; real-time light radiation is collected on the target radiation degree detector in the characteristic environment monitoring period; and a light radiation broken line is drawn; According to the light radiation broken line, a broken line point where the real-time light radiation changes is marked to obtain a plurality of radiation degree monitoring change points; and a sample radiation degree change point is selected; and The time value corresponding to the sample radiation change point is acquired, and a first radiation change time value is obtained. The time point of the target radiation calibration device for adjusting the light radiation is acquired, and a plurality of radiation adjustment time values are obtained. The time difference between each radiation adjustment time value and the first radiation change time value is acquired, and the minimum time difference is marked as a radiation detection time deviation. A radiation detection time deviation reference interval is set. If the radiation detection time deviation is not in the radiation detection time deviation reference interval, the sample radiation change point is marked as an abnormal radiation change point.

5. The method of calibrating a key parameter of an irradiance detector for photovoltaic applications according to claim 4, characterized in that, In the step S15, the specific steps are as follows: If the radiation detection time deviation is in the radiation detection time deviation reference interval, the actual light radiation adjustment change degree and the actual light radiation detection change degree are acquired respectively. The difference between the actual light radiation adjustment change degree and the actual light radiation detection change degree is calculated to obtain a light radiation detection deviation. A light radiation detection deviation reference interval is set. If the light radiation detection deviation is in the light radiation detection deviation reference interval, the sample radiation change point is marked as a normal radiation change point. If not, the sample radiation change point is marked as an abnormal radiation change point. The type of each radiation monitoring change point is divided. The number of normal radiation change points is counted as A1, and the number of abnormal radiation change points is counted as A2. The radiation detection abnormality degree is calculated.

6. The method of calibrating key parameters of an irradiance detector for photovoltaic applications according to claim 1, characterized in that, In the step S2, the specific steps are as follows: The radiation verification collection data is acquired. The radiation detection abnormality degree corresponding to each feature preset temperature is obtained according to the radiation verification collection data. The obtained plurality of radiation detection abnormality degrees are compared in value. The maximum radiation detection abnormality degree is marked as a peak detection abnormality degree. A detection abnormality degree preset interval is set. If the peak detection abnormality degree is in the detection abnormality degree preset interval, the target radiation detector is divided into a normal radiation detector. If not, the target radiation detector is divided into a calibration radiation detector, and the detector type division data is obtained.

7. The method of calibrating key parameters of an irradiance detector for photovoltaic applications according to claim 1, characterized in that, In the step S3, the specific steps are as follows: Step S31: The detector type division data is acquired. The calibration radiation detector is acquired according to the detector type division data; Step S32: The light entering angle that can be adjusted by the target radiation calibration device rotatable platform around the horizontal axis is acquired, and a sample light entering angle is randomly selected therefrom; Step S33: The temperature-light radiation detection analysis of the calibration radiation detector at the sample light entering angle is performed. The radiation detection comprehensive weighted abnormality degree corresponding to the sample light entering angle is acquired according to the analysis result; Step S34: The radiation detection comprehensive weighted abnormality degree corresponding to each light entering angle is acquired. The light entering angle corresponding to the minimum radiation detection comprehensive weighted abnormality degree is set as the best light receiving angle. The light receiving angle value corresponding to the calibration radiation detector is adjusted to the best light receiving angle.

8. The method of calibrating a key parameter of an irradiance detector for photovoltaic applications according to claim 7, characterized in that, In the step S33, the specific steps are as follows: A plurality of temperature subintervals segmented by the working temperature interval of the detector are acquired, and a middle value of the interval temperature corresponding to each temperature subinterval is collected to obtain a plurality of characteristic preset temperatures; A sample temperature subinterval is randomly selected from the acquired plurality of temperature subintervals, and the characteristic preset temperature corresponding to the sample temperature subinterval is marked as a sample preset temperature; A plurality of historical temperature monitoring dates are selected, and the environmental temperature of the target irradiance detector installation area within the historical temperature monitoring dates is collected. According to the collection result, the ratio of the time length during which the environmental temperature is in the sample temperature subinterval to the time length of the day is obtained, the average of a plurality of temperature interval time length ratios is calculated, and the radiation analysis weight corresponding to the sample preset temperature is obtained. The constant temperature and humidity environment bin corresponding to the target irradiance calibration device is adjusted to the sample preset temperature, and the radiation detection abnormality of the to-be-calibrated radiation detector at the sample preset temperature is collected, and the product of the radiation analysis weight and the radiation detection abnormality is calculated. The radiation weighted abnormality corresponding to the sample preset temperature is obtained. The radiation weighted abnormality corresponding to each characteristic preset temperature is obtained and summed to obtain the radiation detection comprehensive weighted abnormality corresponding to the sample light entry angle.

9. A device for calibrating key parameters of an irradiance detector for photovoltaic applications, suitable for use in a method for calibrating key parameters of an irradiance detector for photovoltaic applications according to any one of claims 1 to 8, characterized in that, The calibration device comprises: A data acquisition module: acquires a target irradiance detector, sets a plurality of characteristic preset temperatures for the working environment of the target irradiance detector, analyzes the radiation detection deviation of the target irradiance detector at different characteristic preset temperatures, and obtains detector type classification data according to the analysis result; A data analysis module: analyzes the radiation calibration result of the target irradiance detector according to the radiation calibration collection data, divides the target irradiance detector into a normal radiation detector and a to-be-calibrated radiation detector according to the analysis result, and obtains the detector type classification data; A parameter calibration module: calibrates the light entry angle of the to-be-calibrated radiation detector according to the detector type classification data, obtains the best light entry angle according to the calibration result, and calibrates the target initial light entry angle using the best light entry angle.

10. A storage medium, characterized by A computer program for storing is executed by a processor to implement the calibration method of the key parameters of the irradiance detector for photovoltaic power generation according to any one of claims 1-8.

Images