A method and device for calibrating ultraviolet radiation power based on an optical power meter

Abstract

The present application relates to a kind of ultraviolet radiation power quantification method based on light power meter calibration, comprising: obtaining the detection response data of ultraviolet monitoring device under different radiation conditions;Establish basic quantization relationship;Obtain the ultraviolet radiation-power quantification relationship after inherent error calibration;Influence factor correction is carried out to ultraviolet radiation-power quantification relationship;Using ultraviolet monitoring device monitors the partial discharge of electric power equipment, according to the output of ultraviolet monitoring device and the ultraviolet radiation-power quantification relationship after influence factor correction, the intensity of partial discharge is quantitatively evaluated.The light power meter is introduced as absolute value reference, realize the conversion of ultraviolet detection result from relative intensity to absolute radiation power, improve the comparability of detection result;Through the system calibration to spectral matching error, spatial non-uniformity error and dynamic range and linearity error, the accuracy and stability of ultraviolet radiation power quantification are significantly improved;It has good engineering implementability.

Description

Technical Field

[0001] This invention relates to the field of ultraviolet radiation detection and optical metrology technology, and in particular to a method and device for quantifying ultraviolet radiation power based on optical power meter calibration. Background Technology

[0002] Ultraviolet (UV) detection technology, due to its high sensitivity to UV radiation generated during partial discharge and its non-contact detection advantages, has been widely used in the field of power equipment condition monitoring, especially in the detection of partial discharge in critical locations such as valve halls of UHVDC converter stations, where it has significant engineering application value. Existing UV detection systems typically process acquired UV images and use parameters such as image brightness, pixel grayscale values, or spot area to characterize and evaluate discharge intensity. However, these image-based UV detection methods are essentially relative quantity measurements, and their results are easily affected by various factors such as imaging conditions, environmental background, detection distance, and instrument operating status, making it difficult to quantitatively characterize UV ​​radiation power. Furthermore, the lack of a unified physical quantity benchmark between detection results under different detection equipment, environmental conditions, or application scenarios leads to poor comparability and consistency of discharge intensity assessment results, hindering the promotion and deepening of UV detection technology in engineering applications.

[0003] Especially in complex engineering environments such as ultra-high voltage valve halls, the on-site background light conditions vary significantly, the equipment structure is large, the detection distance varies widely, and factors such as ambient temperature and instrument gain have a more pronounced impact on the detection results. Traditional methods relying on image brightness or grayscale thresholds are insufficient to effectively eliminate the systematic errors caused by these factors, and cannot meet the practical needs for objective, unified, and traceable assessment of partial discharge intensity. To improve the quantitative level of ultraviolet detection results, some studies have attempted to calibrate ultraviolet detection devices using standard light sources to establish the correspondence between detection signals and radiation intensity. However, existing calibration methods are mostly performed under ideal or single conditions, without fully considering the impact of factors such as detection distance, ambient temperature, and changes in instrument operating parameters on the measurement results, resulting in limited applicability and stability of the calibration results in practical engineering applications.

[0004] Therefore, there is an urgent need for a detection and calibration method that is oriented towards practical engineering applications, can realize quantitative measurement of ultraviolet radiation power and has correction capabilities, so as to improve the engineering practicality and reliability of ultraviolet detection in the monitoring of partial discharge in ultra-high voltage valve halls. Summary of the Invention

[0005] To address the problem that existing ultraviolet detection technologies commonly use image brightness, pixel grayscale, or relative intensity changes to characterize discharge intensity, making quantitative measurement difficult, the primary objective of this invention is to provide an ultraviolet radiation power quantification method based on optical power meter calibration that improves the comparability of detection results and significantly enhances the accuracy and stability of ultraviolet radiation power quantification.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a method for quantizing ultraviolet radiation power based on optical power meter calibration, the method comprising the following sequential steps:

[0007] (1) Under controllable conditions, the radiation response test of the ultraviolet monitoring device is carried out using a standard ultraviolet light source, and the output value of the optical power meter corresponding to the standard ultraviolet light source is measured simultaneously to obtain the detection response data of the ultraviolet monitoring device under different radiation conditions.

[0008] (2) Establish a basic quantization relationship based on the correspondence between the output value of the optical power meter and the detection signal of the ultraviolet monitoring device;

[0009] (3) Perform spectral matching error calibration, spatial non-uniformity error calibration, and dynamic range and linearity error calibration on the basic quantization relationship respectively, correct the inherent error in the basic quantization relationship, and obtain the ultraviolet radiation-power quantization relationship after inherent error calibration;

[0010] (4) Based on the obtained ultraviolet radiation-power quantization relationship after calibration with inherent error, the ultraviolet radiation-power quantization relationship after calibration with inherent error is corrected for environmental factors in the actual detection environment. The environmental factors include one or more of the following: detection distance, ambient temperature and working gain of the ultraviolet monitoring device.

[0011] (5) Use an ultraviolet monitoring device to monitor the partial discharge of power equipment, and then quantitatively assess the intensity of the partial discharge based on the output of the ultraviolet monitoring device and the ultraviolet radiation-power quantification relationship after the influence factor correction.

[0012] In step (1), the controllable conditions include a fixed detection distance, ambient temperature, and preset instrument operating parameters; the standard ultraviolet light source has a wavelength range of 240nm to 300nm, which is sufficient to cover the characteristic ultraviolet band of partial discharge.

[0013] In step (2), the expression for the basic quantization relation is:

[0014]

[0015] In the formula, Power is measured using an optical power meter; The output of the ultraviolet monitoring device is a grayscale image. Based on the quantitative relationship.

[0016] In step (3), the spectral matching error calibration specifically includes the following sequential steps:

[0017] (4a) Determine the ultraviolet spectral distribution of partial discharge in power equipment ;

[0018] (4b) Discrete approximation using multiple ultraviolet LEDs with center wavelengths covering 240nm to 300nm Test and obtain the spectral response function of the ultraviolet monitoring device. and the spectral response function of a standard optical power meter ;

[0019] (4c) Calculate the spectral matching error coefficient according to the spectral integral formula. :

[0020] ;

[0021] In the formula, Ultraviolet wavelength;

[0022] Based on the spectral matching error coefficient The basic quantitative relationship is revised as follows:

[0023] ;

[0024] In the formula, Power is measured using an optical power meter; The output of the ultraviolet monitoring device is a grayscale image. Based on the quantitative relationship.

[0025] In step (3), the spatial non-uniformity error calibration includes flat field calibration and lens vignetting calibration, specifically including the following sequential steps:

[0026] (5a) Perform flat field calibration: Select a high uniformity integrating sphere or UV light homogenizer as the uniform surface source;

[0027] After preheating a high-uniformity integrating sphere or a UV light homogenizer as a uniform surface source, uniform field images are acquired at multiple different brightness levels. The acquired images are averaged to reduce readout noise and compensate for weak nonlinearity.

[0028] Calculate the correction factor matrix This reflects the degree to which each pixel deviates from the ideal response:

[0029] ;

[0030] in, The average pixel value of the output image detected by the ultraviolet monitoring device. The ultraviolet monitoring device detects and outputs images in Pixel value at;

[0031] According to the correction factor matrix Perform spatial inhomogeneity calibration:

[0032] ;

[0033] In the formula, For flat field calibration output;

[0034] (5b) Perform lens vignetting calibration: Compensate for lens vignetting using a radial formula, which is:

[0035] ;

[0036] in, It is the ratio of the radial distance from the pixel location to the center of the imaging field of view to the maximum radial distance of the imaging field of view, used to characterize the relative position of the pixel in the imaging field of view; and All of these are lens-related coefficients; This is the vignetting compensation factor for the lens;

[0037] The basic quantization relation expression after spatial inhomogeneity error calibration is as follows:

[0038] ;

[0039] In the formula, The spectral matching error coefficient; Based on quantitative relationships; The power is measured by the optical power meter.

[0040] In step (3), the dynamic range and linearity error calibration specifically includes the following sequential steps:

[0041] (6a) Perform dynamic range error calibration: Simultaneously record the power of the ultraviolet detection device under different output powers of the light source. Power of light and light power meter The calibration points cover the typical working range of the ultraviolet monitoring device, avoiding the weak light noise-dominated area and the strong light saturation area;

[0042] (6b) Perform linearity error calibration: based on records and The data was fitted to obtain a nonlinear response relationship:

[0043] ;

[0044] in, For linear correction coefficients, These are the coefficients of the nonlinear term; for ;

[0045] Calculate linearity error The degree of nonlinear deviation in different radiation power ranges is determined by the following formula:

[0046] ;

[0047] The nonlinear response function obtained by fitting Find the inverse function Embedding the inverse function into the ultraviolet radiation power quantization relation, we obtain:

[0048] (1);

[0049] In the formula, The spectral matching error coefficient; Quantify the relationship based on the basics; Power is measured using an optical power meter; For flat field calibration output; This is the vignetting compensation factor for the lens;

[0050] Nonlinear compensation is performed on the detection signal of the ultraviolet monitoring device to ensure the accuracy and linear consistency of the ultraviolet radiation power quantization result within a wide dynamic range; Equation (1) is the ultraviolet radiation-power quantization relationship after calibration of inherent error.

[0051] In step (4), the step of correcting the ultraviolet radiation-power quantization relationship based on environmental impact factors in the actual detection environment specifically refers to:

[0052] ;

[0053] In the formula, Environmental impact factors; This refers to the spectral matching error coefficient; Based on quantitative relationships; Power is measured using an optical power meter; This is the vignetting compensation factor for the lens; For flat field calibration output; This represents the linearity error.

[0054] Another object of the present invention is to provide an electronic device comprising:

[0055] Processor; and

[0056] A memory storing computer program instructions that, when executed by the processor, cause the processor to perform the ultraviolet radiation power quantization method based on optical power meter calibration as described above.

[0057] The present invention also provides a computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, cause the processor to perform the ultraviolet radiation power quantization method based on optical power meter calibration as described above.

[0058] As can be seen from the above technical solution, the beneficial effects of the present invention are as follows: First, by introducing an optical power meter as an absolute quantitative reference, the present invention realizes the conversion of ultraviolet detection results from relative intensity to absolute radiation power, thereby improving the comparability of detection results; Second, by systematically calibrating spectral matching errors, spatial non-uniformity errors, and dynamic range and linearity errors, the present invention significantly improves the accuracy and stability of ultraviolet radiation power quantification; Third, by establishing corrections for various engineering influencing factors, the present invention can adapt to complex engineering environments such as ultra-high voltage valve halls, and has good engineering feasibility. Attached Figure Description

[0059] Figure 1 This is a flowchart of the method of the present invention;

[0060] Figure 2 This is a calibration diagram of the present invention. Detailed Implementation

[0061] like Figure 1 As shown, a method for quantifying ultraviolet radiation power based on optical power meter calibration is described. This method includes the following sequential steps:

[0062] (1) Under controllable conditions, the radiation response test of the ultraviolet monitoring device is carried out using a standard ultraviolet light source, and the output value of the optical power meter corresponding to the standard ultraviolet light source is measured simultaneously to obtain the detection response data of the ultraviolet monitoring device under different radiation conditions.

[0063] (2) Establish a basic quantization relationship based on the correspondence between the output value of the optical power meter and the detection signal of the ultraviolet monitoring device;

[0064] (3) Perform spectral matching error calibration, spatial non-uniformity error calibration, and dynamic range and linearity error calibration on the basic quantization relationship respectively, correct the inherent error in the basic quantization relationship, and obtain the ultraviolet radiation-power quantization relationship after inherent error calibration;

[0065] (4) Based on the obtained ultraviolet radiation-power quantization relationship after calibration with inherent error, the ultraviolet radiation-power quantization relationship after calibration with inherent error is corrected for environmental factors in the actual detection environment. The environmental factors include one or more of the following: detection distance, ambient temperature and working gain of the ultraviolet monitoring device.

[0066] (5) Use an ultraviolet monitoring device to monitor the partial discharge of power equipment, and then quantitatively assess the intensity of the partial discharge based on the output of the ultraviolet monitoring device and the ultraviolet radiation-power quantification relationship after the influence factor correction.

[0067] In step (1), the controllable conditions include a fixed detection distance, ambient temperature, and preset instrument operating parameters; the standard ultraviolet light source has a wavelength range of 240nm to 300nm, which is sufficient to cover the characteristic ultraviolet band of partial discharge.

[0068] In step (2), the expression for the basic quantization relation is:

[0069]

[0070] In the formula, Power is measured using an optical power meter; The output of the ultraviolet monitoring device is a grayscale image. Based on the quantitative relationship.

[0071] The imaging system of a practical ultraviolet monitoring device typically consists of a lens, filter, image intensifier, and detector. Its response within the field of view often exhibits spatial inhomogeneity, primarily stemming from:

[0072] 1) Lens vignetting effect: The light flux naturally decreases at the edge of the field of view;

[0073] 2) Inconsistent transmittance of the filter: uneven transmittance distribution is caused by film thickness and assembly errors;

[0074] 3) Non-uniformity of detector pixel response: Different pixels have different light responses;

[0075] 4) Non-uniform gain between photocathode and phosphor screen: The internal structure of the image intensifier causes local response differences.

[0076] Optical power meters only measure the average power at the center of the light spot and do not have spatial resolution. Therefore, if the response within the field of view of the monitoring device is not uniform and is not corrected, the same radiation power will show different measured values ​​at different imaging positions, thus affecting the accuracy of absolute radiation calibration and subsequent power conversion.

[0077] In step (3), the spectral matching error calibration specifically includes the following sequential steps:

[0078] (4a) Determine the ultraviolet spectral distribution of partial discharge in power equipment ;

[0079] (4b) Discrete approximation using multiple ultraviolet LEDs with center wavelengths covering 240nm to 300nm Test and obtain the spectral response function of the ultraviolet monitoring device. and the spectral response function of a standard optical power meter ;

[0080] (4c) Calculate the spectral matching error coefficient according to the spectral integral formula. :

[0081] ;

[0082] In the formula, Ultraviolet wavelength;

[0083] Based on the spectral matching error coefficient The basic quantitative relationship is revised as follows:

[0084] ;

[0085] In the formula, Power is measured using an optical power meter; The output of the ultraviolet monitoring device is a grayscale image. Based on the quantitative relationship.

[0086] In step (3), the spatial non-uniformity error calibration includes flat field calibration and lens vignetting calibration, specifically including the following sequential steps:

[0087] (5a) Perform flat field calibration: Select a high uniformity integrating sphere or UV light homogenizer as the uniform surface source;

[0088] After preheating a high-uniformity integrating sphere or a UV light homogenizer as a uniform surface source, uniform field images are acquired at multiple different brightness levels. The acquired images are averaged to reduce readout noise and compensate for weak nonlinearity.

[0089] Calculate the correction factor matrix This reflects the degree to which each pixel deviates from the ideal response:

[0090] ;

[0091] in, The average pixel value of the output image detected by the ultraviolet monitoring device. The ultraviolet monitoring device detects and outputs images in Pixel value at;

[0092] According to the correction factor matrix Perform spatial inhomogeneity calibration:

[0093] ;

[0094] In the formula, This is for flat-field calibration output; flat-field calibration can significantly reduce spatial response inhomogeneity, making the absolute radiation response of the monitoring device more repeatable and comparable, laying the foundation for subsequent power measurement.

[0095] (5b) Perform lens vignetting calibration: Compensate for lens vignetting using a radial formula, which is:

[0096] ;

[0097] in, It is the ratio of the radial distance from the pixel location to the center of the imaging field of view to the maximum radial distance of the imaging field of view, used to characterize the relative position of the pixel in the imaging field of view; and All of these are lens-related coefficients; This is the vignetting compensation factor for the lens;

[0098] The basic quantization relation expression after spatial inhomogeneity error calibration is as follows:

[0099] ;

[0100] In the formula, This refers to the spectral matching error coefficient; Based on quantitative relationships; The power is measured by the optical power meter.

[0101] In step (3), the dynamic range and linearity error calibration specifically includes the following sequential steps:

[0102] (6a) Perform dynamic range error calibration: Simultaneously record the power of the ultraviolet detection device under different output powers of the light source. Power of light power meter The calibration points cover the typical working range of the ultraviolet monitoring device, avoiding the weak light noise-dominated area and the strong light saturation area;

[0103] (6b) Perform linearity error calibration: based on records and The data was fitted to obtain a nonlinear response relationship:

[0104] ;

[0105] in, For linear correction coefficients, These are the coefficients of the nonlinear term; for ;

[0106] Calculate linearity error The degree of nonlinear deviation in different radiation power ranges is determined by the following formula:

[0107] ;

[0108] The nonlinear response function obtained by fitting Find the inverse function Embedding the inverse function into the ultraviolet radiation power quantization relation, we obtain:

[0109] (1);

[0110] In the formula, This refers to the spectral matching error coefficient; Based on quantitative relationships; Power is measured using an optical power meter; For flat field calibration output; This is the vignetting compensation factor for the lens;

[0111] Nonlinear compensation is performed on the detection signal of the ultraviolet monitoring device to ensure the accuracy and linear consistency of the ultraviolet radiation power quantization result within a wide dynamic range; Equation (1) is the ultraviolet radiation-power quantization relationship after calibration of inherent error.

[0112] Based on the optical response characteristics of the monitoring device, this invention constructs a complete calibration system, including light source matching error calibration, flat field calibration, and dynamic range and linearity evaluation. This effectively ensures the spatial consistency, environmental stability, and quantitative accuracy of the monitoring device, laying a reliable foundation for subsequent experimental measurements and quantitative analysis.

[0113] This invention further considers the impact of various environmental and device parameter changes on the quantification results of ultraviolet radiation power during actual engineering applications, and introduces an influence factor parameter correction mechanism to improve the adaptability and measurement consistency of ultraviolet radiation power quantification detection in complex environments such as ultra-high voltage valve halls.

[0114] In step (4), the step of correcting the ultraviolet radiation-power quantization relationship based on environmental impact factors in the actual detection environment specifically refers to:

[0115] ;

[0116] In the formula, Environmental impact factors; This refers to the spectral matching error coefficient; Based on quantitative relationships; Power is measured using an optical power meter; This is the vignetting compensation factor for the lens; For flat field calibration output; This represents the linearity error.

[0117] The influencing factors include detection distance, ambient temperature, and the operating gain of the ultraviolet monitoring device. By analyzing the correspondence between the above influencing factors and the ultraviolet radiation power detection results, the calibrated ultraviolet radiation power quantification results are further corrected.

[0118] Correction for the influence factor of detection distance:

[0119] This paper considers the impact of varying detection distances between the light source and the ultraviolet (UV) monitoring device on the quantization results of UV radiation power. By acquiring the detection signals from the UV monitoring device and the corresponding optical power meter reference values ​​under different detection distance conditions, the influence of changes in optical path geometric propagation characteristics (including luminous flux attenuation and spot expansion) on the UV radiation power measurement results is analyzed, and a correspondence between detection distance and UV radiation power quantization results is established. Based on this correspondence, measurement deviations introduced by variations in detection distance during actual detection are corrected, or the quantization model of the UV monitoring device is uniformly calibrated under preset calibration distance conditions, thereby improving the consistency of UV radiation power quantization results under different detection distance conditions.

[0120] Correction for environmental temperature influencing factors:

[0121] The impact of ambient temperature variations on the quantification results of ultraviolet radiation power is considered. By acquiring the detection signals of the ultraviolet monitoring device and the reference values ​​of the optical power meter under different ambient temperature conditions, the influence of ambient temperature variations on the output characteristics of the ultraviolet radiation source and the response characteristics of the detector and optical system of the ultraviolet monitoring device is analyzed, and a correction relationship between ambient temperature and the quantification results of ultraviolet radiation power is established.

[0122] In actual testing, the ultraviolet radiation power quantification results are corrected based on the ambient temperature parameters to compensate for power drift and measurement errors caused by temperature changes, thereby improving the stability and accuracy of ultraviolet radiation power quantification detection under different ambient temperature conditions.

[0123] Correction for device gain influence factor:

[0124] This study considers the impact of variations in the internal working gain or exposure parameters of an ultraviolet (UV) monitoring device on the quantization results of UV radiation power. Under fixed UV radiation source output and detection environment conditions, the corresponding UV detection signals are obtained by adjusting the working gain or exposure parameters of the UV monitoring device. The law governing the device's response amplitude with changes in gain or exposure parameters is analyzed, and a correction relationship between the device's gain parameters and the quantization results of UV radiation power is established.

[0125] In actual testing, the quantification results of ultraviolet radiation power are corrected according to the current working gain or exposure parameters of the ultraviolet monitoring device, thereby ensuring the consistency of ultraviolet radiation power measurement results under different gain or exposure conditions and improving the engineering applicability of the ultraviolet monitoring device under multiple operating conditions.

[0126] Step (5) specifically refers to: using an ultraviolet monitoring device to monitor the partial discharge generated under the operating state of the power equipment online, and collecting the corresponding ultraviolet radiation imaging data; combining the ultraviolet radiation-power quantification relationship after the influence factor correction, quantitatively converting the output signal of the ultraviolet monitoring device to obtain the ultraviolet radiation power value corresponding to the partial discharge, thereby realizing the quantitative assessment of the partial discharge intensity of the power equipment.

[0127] Figure 2 The equipment placement during actual calibration is demonstrated. A blackbody radiation source is used as the ultraviolet light source for calibration. The blackbody radiation source, optical power meter, and ultraviolet monitoring device are symmetrically arranged along the same central axis to ensure that the distances from the two measuring devices to the light source are consistent. The optical path is shielded to avoid interference from external ambient light. The central axis serves as an optical reference to ensure that the incident angle of the beam is consistent. Figure 2 In this context, D is the distance from the optical power meter to the high-temperature blackbody, and L is the central axis.

[0128] In summary, this invention introduces an optical power meter as an absolute reference to convert ultraviolet detection results from relative intensity to absolute radiation power, thereby improving the comparability of the detection results. Furthermore, by systematically calibrating spectral matching errors, spatial inhomogeneity errors, and dynamic range and linearity errors, this invention significantly improves the accuracy and stability of ultraviolet radiation power quantification. Finally, by establishing corrections for various engineering influencing factors, this invention can adapt to complex engineering environments such as ultra-high voltage valve halls, demonstrating good engineering feasibility.

[0129] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for quantifying ultraviolet radiation power based on optical power meter calibration, characterized in that: The method includes the following steps in sequence: (1) Under controllable conditions, the radiation response test of the ultraviolet monitoring device is carried out using a standard ultraviolet light source, and the output value of the optical power meter corresponding to the standard ultraviolet light source is measured simultaneously to obtain the detection response data of the ultraviolet monitoring device under different radiation conditions. (2) Establish a basic quantization relationship based on the correspondence between the output value of the optical power meter and the detection signal of the ultraviolet monitoring device; (3) Perform spectral matching error calibration, spatial non-uniformity error calibration, and dynamic range and linearity error calibration on the basic quantization relationship respectively, correct the inherent error in the basic quantization relationship, and obtain the ultraviolet radiation-power quantization relationship after inherent error calibration; (4) Based on the obtained ultraviolet radiation-power quantization relationship after calibration with inherent error, the ultraviolet radiation-power quantization relationship after calibration with inherent error is corrected for environmental factors in the actual detection environment. The environmental factors include one or more of the following: detection distance, ambient temperature and working gain of the ultraviolet monitoring device. (5) Use an ultraviolet monitoring device to monitor the partial discharge of power equipment, and then quantitatively assess the intensity of the partial discharge based on the output of the ultraviolet monitoring device and the ultraviolet radiation-power quantification relationship after the influence factor correction.

2. The ultraviolet radiation power quantization method based on optical power meter calibration according to claim 1, characterized in that: In step (1), the controllable conditions include a fixed detection distance, ambient temperature, and preset instrument operating parameters; the standard ultraviolet light source has a wavelength range of 240nm to 300nm, which is sufficient to cover the characteristic ultraviolet band of partial discharge.

3. The ultraviolet radiation power quantization method based on optical power meter calibration according to claim 1, characterized in that: In step (2), the expression for the basic quantization relation is: ； In the formula, Power is measured using an optical power meter; The output of the ultraviolet monitoring device is a grayscale image. Based on the quantitative relationship.

4. The ultraviolet radiation power quantization method based on optical power meter calibration according to claim 1, characterized in that: In step (3), the spectral matching error calibration specifically includes the following sequential steps: (4a) Determine the ultraviolet spectral distribution of partial discharge in power equipment ; (4b) Discrete approximation using multiple ultraviolet LEDs with center wavelengths covering 240nm to 300nm Test and obtain the spectral response function of the ultraviolet monitoring device. and the spectral response function of a standard optical power meter ; (4c) Calculate the spectral matching error coefficient according to the spectral integral formula. : ； In the formula, Ultraviolet wavelength; Based on the spectral matching error coefficient The basic quantitative relationship is revised as follows: ； In the formula, Power is measured using an optical power meter; The output of the ultraviolet monitoring device is a grayscale image. Based on the quantitative relationship.

5. The ultraviolet radiation power quantization method based on optical power meter calibration according to claim 1, characterized in that: In step (3), the spatial non-uniformity error calibration includes flat field calibration and lens vignetting calibration, specifically including the following sequential steps: (5a) Perform flat field calibration: Select a high uniformity integrating sphere or UV light homogenizer as the uniform surface source; After preheating a high-uniformity integrating sphere or a UV light homogenizer as a uniform surface source, uniform field images are acquired at multiple different brightness levels. The acquired images are averaged to reduce readout noise and compensate for weak nonlinearity. Calculate the correction factor matrix This reflects the degree to which each pixel deviates from the ideal response: ； in, The average pixel value of the output image detected by the ultraviolet monitoring device. The ultraviolet monitoring device detects and outputs images in Pixel value at; According to the correction factor matrix Perform spatial inhomogeneity calibration: ； In the formula, For flat field calibration output; (5b) Perform lens vignetting calibration: Compensate for lens vignetting using a radial formula, which is: ； in, It is the ratio of the radial distance from the pixel location to the center of the imaging field of view to the maximum radial distance of the imaging field of view, used to characterize the relative position of the pixel in the imaging field of view; and All of these are lens-related coefficients; This is the vignetting compensation factor for the lens; The basic quantization relation expression after spatial inhomogeneity error calibration is as follows: ； In the formula, The spectral matching error coefficient; Based on quantitative relationships; The power is measured by the optical power meter.

6. The ultraviolet radiation power quantization method based on optical power meter calibration according to claim 1, characterized in that: In step (3), the dynamic range and linearity error calibration specifically includes the following sequential steps: (6a) Perform dynamic range error calibration: Simultaneously record the power of the ultraviolet detection device under different output powers of the light source. Power of light power meter The calibration points cover the typical working range of the ultraviolet monitoring device, avoiding the weak light noise-dominated area and the strong light saturation area; (6b) Perform linearity error calibration: based on records and The data was fitted to obtain a nonlinear response relationship: ； in, For linear correction coefficients, These are the coefficients of the nonlinear term; for ; Calculate linearity error The degree of nonlinear deviation in different radiation power ranges is determined by the following formula: ； The nonlinear response function obtained by fitting Find the inverse function Embedding the inverse function into the ultraviolet radiation power quantization relation, we obtain: （1）； In the formula, The spectral matching error coefficient; Based on quantitative relationships; Power is measured using an optical power meter; For flat field calibration output; This is the vignetting compensation factor for the lens; Nonlinear compensation is performed on the detection signal of the ultraviolet monitoring device to ensure the accuracy and linear consistency of the ultraviolet radiation power quantization result within a wide dynamic range; Equation (1) is the ultraviolet radiation-power quantization relationship after calibration of inherent error.

7. The ultraviolet radiation power quantization method based on optical power meter calibration according to claim 1, characterized in that: In step (4), the step of correcting the ultraviolet radiation-power quantization relationship based on environmental impact factors in the actual detection environment specifically refers to: ； In the formula, Environmental impact factors; The spectral matching error coefficient; Based on quantitative relationships; Power is measured using an optical power meter; This is the vignetting compensation factor for the lens; For flat field calibration output; This represents the linearity error.

8. An electronic device, comprising: processor; as well as A memory storing computer program instructions that, when executed by the processor, cause the processor to perform the ultraviolet radiation power quantization method based on optical power meter calibration as described in any one of claims 1-7.

9. A computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, cause the processor to perform the ultraviolet radiation power quantization method based on optical power meter calibration as described in any one of claims 1-7.

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