Intelligent calibration method for ultraviolet radiation illuminometer and related device

Abstract

The application discloses an intelligent calibration method of an ultraviolet radiation illuminometer and related devices, and relates to the technical field of data processing.The method comprises the following steps: matching power data of each gear of an ultraviolet irradiation device based on voltage and current data to analyze irradiation wave bands of each gear; each ultraviolet radiation illuminometer transmits first irradiation display values corresponding to the irradiation wave bands of each gear under a first range and second irradiation display values under a second range to a control system by using channel evaluation; performing temperature calibration analysis of the irradiation display values based on current temperature data; determining initial calibration data by using corresponding standard irradiation display values based on the first and second irradiation display values; performing range gear shifting error analysis based on the first and second irradiation display values; and generating target calibration data based on temperature calibration data, range gear shifting error data and the initial calibration data to calibrate each ultraviolet radiation illuminometer.The application makes the calibration of the ultraviolet radiation illuminometer achieve a more ideal effect.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to an intelligent calibration method and related apparatus for an ultraviolet radiometer. Background Technology

[0002] An ultraviolet (UV) radiometer is a specialized instrument used to measure the intensity of ultraviolet radiation. To ensure the accuracy and reliability of the displayed values, UV radiometers require calibration. To guarantee the real-time nature of calibration, the irradiance readings must be transmitted in real-time to the control system for analysis. Currently, most UV radiometers use fixed channels for data transmission, but this method often leads to low data transmission efficiency and increased error rates in complex environments, failing to meet the reliability and real-time requirements of data transmission and impacting the efficiency of calibration data analysis. Since temperature changes can alter the performance of the internal electronic components of the UV radiometer, affecting the accuracy of irradiance measurements, temperature calibration is necessary. Currently, temperature calibration data is typically analyzed using computer-aided engineering models. However, these models rely heavily on the experience of numerous personnel, making them overly dependent on their expertise and compromising the reliability of temperature calibration analysis. Meanwhile, the current calibration of ultraviolet radiometers lacks analysis of range switching errors, resulting in inaccurate calibration data and causing the calibration of ultraviolet radiometers to fail to achieve the expected results. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art. This invention provides an intelligent calibration method and related device for an ultraviolet radiation meter, which effectively improves the accuracy of target calibration data analysis and enables the calibration of the ultraviolet radiation meter to achieve a more ideal effect.

[0004] To address the aforementioned technical problems, this invention provides an intelligent calibration method for an ultraviolet radiometer, the method comprising: The control system matches the power data of each level of the ultraviolet irradiation device based on the set voltage and current data, and analyzes the irradiation band of each level of the ultraviolet irradiation device based on the power data. The ultraviolet irradiation device is controlled to irradiate the probes of each ultraviolet radiometer with ultraviolet radiation source according to the irradiation band of each level in sequence. The target channel is determined based on the signal intensity change. Based on the target channel, the first irradiation display value corresponding to the irradiation band of each level under the first range and the second irradiation display value under the second range of each ultraviolet radiometer are transmitted to the control system in sequence. An irradiation drift model is constructed, and based on the irradiation drift model, temperature calibration analysis of the irradiation display value is performed using the current temperature data to obtain temperature calibration data; Initial calibration data are determined based on the first and second irradiation display values ​​and the corresponding standard irradiation display values. Based on the first and second irradiation display values, the range switching error of each ultraviolet radiometer is analyzed to obtain range switching error data. Target calibration data is generated based on temperature calibration data, range shifting error data, and initial calibration data, and each ultraviolet radiometer is calibrated based on the target calibration data.

[0005] Optionally, the step of matching the power data of each level of the ultraviolet irradiation device based on the set voltage and current data, and analyzing the irradiation band of each level of the ultraviolet irradiation device based on the power data, includes: Based on the different voltage and current data set, the power matching model is used to match the power data of each setting of the ultraviolet irradiation device. Based on the power data, the illumination bands corresponding to each power level are determined in the power-illumination band mapping table.

[0006] Optionally, the step of determining the target channel based on signal strength changes, and then sequentially transmitting the first radiation display value corresponding to the irradiation band of each ultraviolet radiometer in the first range and the second radiation display value in the second range to the control system based on the target channel, includes: Identify the sources of interference and the signal-to-noise ratio (SNR) during data transmission, and perform channel signal strength variation analysis based on the sources of interference and the SNR to obtain channel signal strength variation data; Candidate channels are selected based on the spectral characteristics of the communication area to obtain several candidate channels. The target channel is then determined from these candidate channels based on the wireless environment characteristics of the communication area and channel signal strength variation data. Determine the channel coding strategy and signal modulation strategy based on the target channel state data and wireless environment characteristics; Based on the source of interference, anti-interference data is used to determine the target's anti-interference information; Based on the target channel, target anti-interference information, channel coding strategy, and signal modulation strategy, the first irradiance display value corresponding to the irradiance band of each level under the first range and the second irradiance display value corresponding to the irradiance band of each level under the second range are sequentially transmitted to the control system.

[0007] Optionally, the step of constructing an irradiation drift model, and based on the irradiation drift model, performing temperature calibration analysis on the irradiation display value using current temperature data to obtain temperature calibration data, includes: The relationship function was determined based on several sets of experimental temperature data and corresponding experimental irradiation display values. An irradiation drift model is constructed using cubic spline functions based on relational functions, and irradiation drift data is generated using current temperature data based on the irradiation drift model. The compensation coefficient is determined using a feedforward neural network based on the current temperature data, and the temperature calibration data for the irradiation display value is determined using a recurrent neural network based on the compensation coefficient and irradiation drift data.

[0008] Optionally, determining the initial calibration data based on the first and second irradiance display values ​​using corresponding standard irradiance display values ​​includes: Based on several historical irradiance values ​​and corresponding historical standard irradiance values, a nonlinear regression least squares method is used to fit the model and obtain a calibration model. Calculate the first deviation value between each first irradiation display value and the corresponding standard irradiation display value, and calculate the second deviation value between each second irradiation display value and the corresponding standard irradiation display value; The initial calibration data for each ultraviolet radiometer is determined using a calibration model based on the first and second deviation values.

[0009] Optionally, the step of analyzing the range switching error of each ultraviolet radiometer based on the first and second irradiance display values ​​to obtain range switching error data includes: The nominal value of each ultraviolet radiometer is determined, and the range switching error of each ultraviolet radiometer is analyzed based on the nominal value, the first irradiance display value and the second irradiance display value to obtain the range switching error data.

[0010] Optionally, generating target calibration data based on temperature calibration data, range shifting error data, and initial calibration data includes: The first calibration data is determined based on the range shift error data, and the target calibration data is generated based on the temperature calibration data, the first calibration data, and the initial calibration data.

[0011] In addition, the present invention also provides an intelligent calibration system for an ultraviolet radiometer, the calibration system being used to perform the above-mentioned intelligent calibration method for an ultraviolet radiometer, the calibration system comprising a control system, a plurality of ultraviolet radiometers and an ultraviolet irradiation device; The control system is used to match the power data of each level of the ultraviolet irradiation device based on the set voltage and current data, and to analyze the irradiation band of each level of the ultraviolet irradiation device based on the power data. The ultraviolet irradiation device is used to sequentially irradiate the probes of each ultraviolet radiometer with ultraviolet radiation sources according to the irradiation band of each level. The ultraviolet radiometer is used to measure the first radiation display value corresponding to the irradiation band of each setting in the first range and the second radiation display value corresponding to the irradiation band of each setting in the second range, and transmits the first radiation display value and the second radiation display value to the control system. The control system is used to determine initial calibration data based on the first and second irradiance display values ​​using corresponding standard irradiance display values, construct an irradiance drift model, perform temperature calibration analysis of the irradiance display values ​​based on the irradiance drift model using current temperature data to obtain temperature calibration data, perform range switching error analysis of each ultraviolet radiometer based on the first and second irradiance display values ​​to obtain range switching error data, generate target calibration data based on the temperature calibration data, range switching error data, and initial calibration data, and calibrate each ultraviolet radiometer based on the target calibration data.

[0012] In addition, the present invention also provides an electronic device, which includes a processor and a memory. The memory is used to store instructions, and the processor is used to call the instructions in the memory to cause the electronic device to execute the above-described intelligent calibration method for an ultraviolet radiometer.

[0013] In addition, the present invention provides a computer-readable storage medium that stores computer instructions that, when executed on an electronic device, cause the electronic device to perform the above-described intelligent calibration method for an ultraviolet irradiance meter.

[0014] In this embodiment of the invention, a target channel is determined based on signal strength changes. Based on this target channel, the first irradiance display value corresponding to the irradiation band of each ultraviolet radiometer in the first range and the second irradiance display value in the second range are sequentially transmitted to the control system. This ensures the reliability and efficiency of data transmission and avoids affecting the efficiency of calibration data analysis. An irradiance drift model is constructed, and based on this model, temperature calibration analysis of the irradiance display value is performed using current temperature data to obtain temperature calibration data, thereby improving the accuracy of temperature calibration analysis. Initial calibration data is determined using the first and second irradiance display values ​​and corresponding standard irradiance display values. Range switching error analysis is performed on each UV radiometer based on the first and second irradiance display values. Target calibration data is generated based on temperature calibration data, range switching error data, and initial calibration data to calibrate each UV radiometer. The temperature calibration data, range switching error data, and initial calibration data provide sufficient data support for determining the final target calibration data, effectively improving the accuracy of target calibration data analysis and enabling the UV radiometer calibration to achieve a more ideal effect. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart illustrating the intelligent calibration method for an ultraviolet radiometer in an embodiment of the present invention. Figure 2 This is a flowchart illustrating the intelligent calibration method for an ultraviolet radiation meter according to another embodiment of the present invention. Figure 3 This is a schematic diagram of the structural composition of the intelligent calibration system for the ultraviolet radiometer in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structural composition of the electronic device in an embodiment of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example 1 Please see Figure 1 , Figure 1 This is a flowchart illustrating the intelligent calibration method for an ultraviolet radiometer according to an embodiment of the present invention. The method includes: S11: The control system matches the power data of each level of the ultraviolet irradiation device based on the set voltage and current data, and analyzes the irradiation band of each level of the ultraviolet irradiation device based on the power data. In the specific implementation of this invention, the step of matching the power data of each level of the ultraviolet irradiation device based on the set voltage and current data, and analyzing the irradiation band of each level of the ultraviolet irradiation device based on the power data, includes: matching the power data of each level of the ultraviolet irradiation device using a power matching model based on the different set voltage and current data; and determining the irradiation band of each level corresponding to the power data in the power-irradiation band mapping table based on the power data.

[0019] Specifically, the control system is used to receive data for calibration analysis of the ultraviolet radiometer and to control the ultraviolet irradiation device to emit ultraviolet light of the corresponding wavelength. The ultraviolet radiometer is used to measure the intensity of ultraviolet radiation emitted by the ultraviolet irradiation device. The ultraviolet irradiation device includes an ultraviolet radiation source, a support, and a regulated power supply. The ultraviolet radiation source is used to emit ultraviolet light, the support is used to support the probes of multiple ultraviolet radiometers, thereby supporting the calibration of multiple ultraviolet radiometers, and the regulated power supply is used to provide and distribute power.

[0020] Users set voltage and current data in the control system's control panel. Different voltage and current data correspond to different power levels. To ensure the reliability of the UV irradiance meter calibration, UV irradiation is performed using different intensity UV bands. The error in the irradiance display value measured by the UV irradiance meter under different intensities of UV radiation is analyzed. Based on the set voltage and current data, a power matching model is used to match the power data of each intensity of the UV irradiation device. The power matching model is a convergent model obtained by training a deep neural network with a sample dataset. The set voltage and current data are input into the power matching model to determine the power data of each intensity of the UV irradiation device. Based on the power data, the corresponding irradiation band for each intensity is determined in a power-irradiation band mapping table. The power-irradiation band mapping table contains the mapping relationship between power data and irradiation bands. For example, the first intensity corresponds to an irradiation band of 320-390nm. This mapping table allows for the rapid determination of the corresponding irradiation band for each intensity.

[0021] S12: Control the ultraviolet irradiation device to irradiate the probe of each ultraviolet radiometer with ultraviolet radiation source according to the irradiation band of each level in sequence, determine the target channel based on the signal intensity change, and transmit the first irradiation display value corresponding to the irradiation band of each level under the first range and the second irradiation display value under the second range of each ultraviolet radiometer to the control system in sequence based on the target channel. In the specific implementation of this invention, the step of determining the target channel based on signal strength changes, and sequentially transmitting the first radiation display value corresponding to the irradiation band of each ultraviolet radiometer in the first range and the second radiation display value in the second range to the control system based on the target channel, includes: determining the interference source and signal-to-noise ratio during data transmission, and performing channel signal strength change analysis based on the interference source and signal-to-noise ratio to obtain channel signal strength change data; screening candidate channels based on the spectral characteristics of the communication area to obtain several candidate channels, and determining the target channel from the several candidate channels based on the wireless environment characteristics of the communication area and the channel signal strength change data; determining the channel coding strategy and signal modulation strategy based on the state data of the target channel and the wireless environment characteristics; determining the target anti-interference information using an anti-interference dataset based on the interference source; and sequentially transmitting the first radiation display value corresponding to the irradiation band of each range in the first range and the second radiation display value corresponding to the irradiation band of each range in the second range to the control system based on the target channel, target anti-interference information, channel coding strategy, and signal modulation strategy.

[0022] Specifically, each ultraviolet (UV) radiometer is set to its first range. The control system controls the UV irradiation device to emit UV radiation sequentially to the probes of each UV radiometer according to the corresponding irradiation band in the set order. Each UV radiometer measures the UV radiation intensity emitted by the UV irradiation device each time in the first range and transmits the first irradiance display value obtained from each measurement to the control system. After completing the measurement and data transmission for each irradiation band, each UV radiometer is set to its second range, which is the higher range adjacent to the first range. The control system controls the UV irradiation device to emit UV radiation sequentially to the probes of each UV radiometer according to the corresponding irradiation band in the set order. Each UV radiometer measures the UV radiation intensity emitted by the UV irradiation device each time in the second range and transmits the second irradiance display value obtained from each measurement to the control system. This process continues until all the second irradiance display values ​​corresponding to each irradiation band have been transmitted to the control system.

[0023] The process involves identifying interference sources and the signal-to-noise ratio (SNR) during data transmission. Interference sources include interference from other devices and internal interference within the device itself, such as wireless connection interference from Bluetooth devices. The SNR is the ratio of the received useful signal to noise. A pre-defined analytical model is used to analyze the test transmission signal to determine the interference factor. The test transmission signal is a data transmission signal used in the current environment, containing both useful signal and noise. The interference factor is the change in the transmission signal caused by interference signals from different sources. The interference sources of the interference factor are identified in a pre-defined interference-transmission mapping table. The transmission signal power and interference signal power are determined based on the frequency of the interference signal from each source, and the SNR is then determined based on these power values. Based on the interference sources and SNR, channel signal strength variation analysis is performed. The affected value at each location point in the channel is analyzed, and the change in channel signal strength is determined based on the affected value at each location point, thus obtaining the channel signal strength variation data. Candidate channels are selected based on the spectral characteristics of the communication area. These spectral characteristics include the available frequency bands, spectrum occupancy status, and signal interference intensity of the current communication area. It is determined whether the available frequency bands of each channel meet preset requirements, which may include the frequency band range and technical specifications supported by the device. Several first channels whose available frequency bands meet the preset requirements are selected. The spectrum occupancy status of each first channel is compared with a preset frequency domain occupancy threshold, and the signal interference intensity of each first channel is compared with a preset signal interference intensity threshold. The first channels whose spectrum occupancy status is less than the preset frequency domain occupancy threshold and whose signal interference intensity is less than the preset signal interference intensity threshold are selected as candidate channels. This results in several candidate channels, ensuring that the selected candidate channels have sufficient resources for data transmission and that the frequency bands are not subject to excessive interference. Based on the wireless environment characteristics and channel signal strength variation data of the communication area, the target channel is determined from several candidate channels. The wireless environment characteristics include signal path loss, signal multipath effect parameters, and environmental interference intensity. The signal multipath effect parameters adopt root mean square delay spread to reflect the delay fluctuation of the signal during propagation. Environmental interference intensity includes electromagnetic interference intensity, etc. According to the parameters in the wireless environment characteristics and the channel signal strength variation data and their corresponding weight coefficients, the scores of each candidate channel are calculated, and the channel with the highest score is selected as the target channel. The resulting target channel is the optimal working channel that is more suitable for the current data transmission requirements, which can improve the reliability and efficiency of data transmission.Channel coding and signal modulation strategies are determined based on the target channel's state data and wireless environment characteristics. The target channel's state data includes channel efficiency, bit error rate, and signal stability. The corresponding coding rate and coding length are selected from the channel coding table based on the target channel's state data and wireless environment characteristics. The channel coding strategy is then constructed based on the corresponding coding rate and coding length, enabling the obtained channel coding strategy to better cope with complex communication environments and improve data transmission performance. The wireless environment characteristics and target channel state data are input into a support vector machine to analyze the corresponding signal modulation scheme. Based on the analyzed signal modulation scheme, a signal modulation strategy is determined. Anti-interference information is determined using an anti-interference dataset based on interference sources. The anti-interference dataset includes anti-interference information corresponding to each interference source. This anti-interference information involves processing the transmitted data to mitigate interference, such as waveforms showing mutual cancellation with the interference signal. The anti-interference information corresponding to each interference source is matched in the anti-interference dataset and used as the target anti-interference information. Based on the target channel, target anti-interference information, channel coding strategy, and signal modulation strategy, the first irradiance display values ​​corresponding to the irradiance bands of each level in the first range and the second irradiance display values ​​corresponding to the irradiance bands of each level in the second range are sequentially transmitted to the control system. The first and second irradiance display values ​​are encoded using the channel coding strategy, and the encoded first and second irradiance display values ​​are converted into signal forms for transmission on the target channel using the signal modulation strategy. According to the anti-interference information, the data is radiated in the transmission environment to eliminate interference phenomena in the current communication environment, such as electromagnetic wave signal interference. In the communication environment where the interference is eliminated, the first and second irradiance display values ​​after signal conversion are transmitted to the control system. This process continues until all irradiance display values ​​for each range have been transmitted, thus completing the data transmission and achieving efficient and reliable data transmission.

[0024] S13: Construct an irradiation drift model, and based on the irradiation drift model, perform temperature calibration analysis on the irradiation display value using the current temperature data to obtain temperature calibration data; In the specific implementation of this invention, the construction of the irradiation drift model and the temperature calibration analysis of the irradiation display value based on the irradiation drift model using current temperature data to obtain temperature calibration data include: determining a relational function based on several sets of experimental temperature data and corresponding experimental irradiation display values; constructing an irradiation drift model using cubic spline functions based on the relational function, and generating irradiation drift data based on the irradiation drift model using current temperature data; determining compensation coefficients using a feedforward neural network based on the current temperature data, and determining temperature compensation data using a recurrent neural network based on the compensation coefficients and irradiation drift data; determining compensation coefficients using a feedforward neural network based on the current temperature data, and determining temperature calibration data of the irradiation display value using a recurrent neural network based on the compensation coefficients and irradiation drift data.

[0025] Specifically, temperature data of the environment in which the ultraviolet radiometer and ultraviolet irradiation device are located is collected by a temperature sensor; this is the current temperature data. The current temperature data is transmitted to the control system. Simultaneously, the control system receives the first irradiance display value corresponding to each irradiation band at the first range and the second irradiance display value corresponding to each irradiation band at the second range. Based on several sets of experimental temperature data and the corresponding experimental irradiance display values, a relationship function is determined. That is, the difference between the experimental irradiance display value and the standard irradiance display value at each experimental temperature is calculated and used as irradiance drift data. According to the relationship between different sets of experimental temperature data and the corresponding differences, the corresponding relationship function is fitted. An irradiation drift model is constructed using cubic spline functions based on relational functions. Cubic spline surfaces are fitted using the cubic spline functions and relational functions. The coordinates of the irradiation drift data and corresponding temperature data are determined using the relational functions and cubic spline functions, forming cubic spline surfaces. The irradiation drift model is then constructed based on these cubic spline surfaces. Irradiation drift data is generated using the current temperature data based on the irradiation drift model. The corresponding irradiation drift data is matched within the irradiation drift model based on the current temperature data. A feedforward neural network (PFNN) is used to determine compensation coefficients based on the current temperature data. The PFNN consists of several input neurons and one output neuron. The current temperature data is input into the PFNN to obtain the compensation coefficients corresponding to the current temperature data. A recurrent neural network (RNN) is then used to determine the temperature calibration data for the irradiation display value based on the compensation coefficients and the irradiation drift data. The compensation coefficients and irradiation drift data are input into the RNN to obtain the temperature calibration data for the irradiation display value. After bias correction by multiple neural networks, the error of the obtained temperature calibration data is extremely small and negligible. Using this temperature calibration data for instrument calibration can effectively solve the problem of irradiation measurement deviation caused by ambient temperature.

[0026] S14: Determine the initial calibration data based on the first and second irradiation display values ​​using the corresponding standard irradiation display values; In the specific implementation of this invention, the step of determining the initial calibration data based on the first and second irradiance display values ​​using corresponding standard irradiance display values ​​includes: performing model fitting using a nonlinear regression least squares method based on several historical irradiance display values ​​and corresponding historical standard irradiance display values ​​to obtain a calibration model; calculating the first deviation value between each first irradiance display value and its corresponding standard irradiance display value, and calculating the second deviation value between each second irradiance display value and its corresponding standard irradiance display value; and determining the initial calibration data for each ultraviolet radiometer based on the first and second deviation values ​​using the calibration model.

[0027] Specifically, a model is fitted using nonlinear regression least squares based on several historical irradiance values ​​and their corresponding historical standard irradiance values. The standard irradiance value is the irradiance value obtained using a standard ultraviolet radiometer under the same irradiance intensity as the irradiance value. The calibration parameter function model is obtained by fitting the difference between each historical irradiance value and its corresponding historical standard irradiance value using nonlinear regression least squares. Nonlinear regression least squares is a parameter estimation method that minimizes the sum of squared errors and is suitable for model parameter estimation. The function model parameters can be obtained through nonlinear regression least squares, thus constructing the calibration parameter function model. The first deviation value between each first irradiance value and its corresponding standard irradiance value is calculated, and the second deviation value between each second irradiance value and its corresponding standard irradiance value is calculated. This means calculating the difference between the irradiance value of each irradiation band and the standard irradiance value under that irradiation band. This allows us to know the deviation between the irradiance value measured by each ultraviolet radiometer at different ranges and the standard irradiance value under different ultraviolet irradiance intensities. Based on each first deviation value and each second deviation value, the initial calibration data of each ultraviolet irradiance meter is determined using the calibration model. Each first deviation value is input into the calibration model and the corresponding calibration parameters are output to obtain the first calibration data of the irradiance meter under the first range. Each second deviation value is input into the calibration model and the corresponding calibration parameters are output to obtain the second calibration data of the irradiance meter under the second range. The initial calibration data is generated by using the first calibration data and the second calibration data.

[0028] S15: Based on the first and second irradiance display values, perform range switching error analysis on each ultraviolet radiometer to obtain range switching error data; In the specific implementation of this invention, the step of analyzing the range switching error of each ultraviolet radiometer based on the first irradiance display value and the second irradiance display value to obtain range switching error data includes: determining the nominal value of each ultraviolet radiometer, and analyzing the range switching error of each ultraviolet radiometer based on the nominal value, the first irradiance display value and the second irradiance display value to obtain range switching error data.

[0029] Specifically, the nominal value of each ultraviolet (UV) radiometer is determined, and the range switching error of each UV radiometer is analyzed based on the nominal value, the first irradiance display value, and the second irradiance display value. The nominal value is the irradiance value measured by the radiometer under preset conditions. The range switching error between adjacent ranges is calculated by combining the first irradiance display value and the second irradiance display value of each UV radiometer in the same irradiation band with the nominal value, thus obtaining the range switching error data. The expression for the range switching error data is as follows: , Where E represents the range shifting error data, and S represents the nominal value. This is the first irradiation reading. This is the second irradiation display value. If the range switching error is large, it indicates that the instrument reading resolution is insufficient and it needs to be calibrated.

[0030] S16: Generate target calibration data based on temperature calibration data, range shifting error data, and initial calibration data, and calibrate each UV irradiance meter based on the target calibration data.

[0031] In the specific implementation of this invention, the step of generating target calibration data based on temperature calibration data, range shifting error data, and initial calibration data includes: determining first calibration data based on range shifting error data, and generating target calibration data based on temperature calibration data, first calibration data, and initial calibration data.

[0032] Specifically, the first calibration data is determined based on the range shifting error data. The corresponding calibration parameters are matched according to the range shifting error data, which is the first calibration data. Target calibration data is generated based on the temperature calibration data, the first calibration data, and the initial calibration data. Each UV irradiance meter is calibrated based on the target calibration data. The temperature deviation, range shifting error, and reading deviation of each UV irradiance meter can be calibrated according to the target calibration data.

[0033] In this embodiment of the invention, a target channel is determined based on signal strength changes. Based on this target channel, the first irradiance display value corresponding to the irradiation band of each ultraviolet radiometer in the first range and the second irradiance display value in the second range are sequentially transmitted to the control system. This ensures the reliability and efficiency of data transmission and avoids affecting the efficiency of calibration data analysis. An irradiance drift model is constructed, and based on this model, temperature calibration analysis of the irradiance display value is performed using current temperature data to obtain temperature calibration data, thereby improving the accuracy of temperature calibration analysis. Initial calibration data is determined using the first and second irradiance display values ​​and corresponding standard irradiance display values. Range switching error analysis is performed on each UV radiometer based on the first and second irradiance display values. Target calibration data is generated based on temperature calibration data, range switching error data, and initial calibration data to calibrate each UV radiometer. The temperature calibration data, range switching error data, and initial calibration data provide sufficient data support for determining the final target calibration data, effectively improving the accuracy of target calibration data analysis and enabling the UV radiometer calibration to achieve a more ideal effect.

[0034] Example 2 Please see Figure 2 , Figure 2 This is a flowchart illustrating an intelligent calibration method for an ultraviolet radiometer according to another embodiment of the present invention, the method comprising: S201: The control system matches the power data of each level of the ultraviolet irradiation device based on the set voltage and current data, and analyzes the irradiation band of each level of the ultraviolet irradiation device based on the power data. S202: Control the ultraviolet irradiation device to irradiate the probes of each ultraviolet radiometer with ultraviolet radiation sources in sequence according to the irradiation band of each level. S203: Determine the sources of interference and the signal-to-noise ratio during data transmission, and perform channel signal strength variation analysis based on the sources of interference and the signal-to-noise ratio to obtain channel signal strength variation data; S204: Based on the spectral characteristics of the communication area, candidate channels are screened to obtain several candidate channels, and the target channel is determined from the several candidate channels based on the wireless environment characteristics of the communication area and the channel signal strength change data; S205: Determine the channel coding strategy and signal modulation strategy based on the target channel state data and wireless environment characteristics, and determine the target anti-interference information based on the anti-interference dataset based on the interference source; S206: Based on the target channel, target anti-interference information, channel coding strategy and signal modulation strategy, the first radiation display value corresponding to the irradiation band of each gear in the first range and the second radiation display value corresponding to the irradiation band of each gear in the second range are sequentially transmitted to the control system. S207: Construct an irradiation drift model, and based on the irradiation drift model, perform temperature calibration analysis on the irradiation display value using the current temperature data to obtain temperature calibration data; S208: Determine the initial calibration data based on the first irradiation display value and the second irradiation display value using the corresponding standard irradiation display values; S209: Based on the first and second irradiance display values, analyze the range switching error of each ultraviolet radiometer to obtain range switching error data; S210: Generate target calibration data based on temperature calibration data, range shifting error data, and initial calibration data, and calibrate each UV irradiance meter based on the target calibration data.

[0035] In this embodiment of the invention, a target channel is determined based on signal strength changes. Based on this target channel, the first irradiance display value corresponding to the irradiation band of each ultraviolet radiometer in the first range and the second irradiance display value in the second range are sequentially transmitted to the control system. This ensures the reliability and efficiency of data transmission and avoids affecting the efficiency of calibration data analysis. An irradiance drift model is constructed, and based on this model, temperature calibration analysis of the irradiance display value is performed using current temperature data to obtain temperature calibration data, thereby improving the accuracy of temperature calibration analysis. Initial calibration data is determined using the first and second irradiance display values ​​and corresponding standard irradiance display values. Range switching error analysis is performed on each UV radiometer based on the first and second irradiance display values. Target calibration data is generated based on temperature calibration data, range switching error data, and initial calibration data to calibrate each UV radiometer. The temperature calibration data, range switching error data, and initial calibration data provide sufficient data support for determining the final target calibration data, effectively improving the accuracy of target calibration data analysis and enabling the UV radiometer calibration to achieve a more ideal effect.

[0036] Example 3 Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of the intelligent calibration system for an ultraviolet radiometer in an embodiment of the present invention. The calibration system includes a control system 31, a plurality of ultraviolet radiometers 32, and an ultraviolet irradiation device 33. The control system 31 is used to match the set voltage and current data with the power data of each level of the ultraviolet irradiation device 33, and to analyze the irradiation band of each level of the ultraviolet irradiation device 33 based on the power data. The ultraviolet irradiation device 33 is used to irradiate the probes of each ultraviolet radiometer 32 with ultraviolet radiation sources in sequence according to the irradiation band of each level. The ultraviolet radiation meter 32 is used to measure the first radiation display value corresponding to the irradiation band of each gear in the first range and the second radiation display value corresponding to the irradiation band of each gear in the second range, and transmit the first radiation display value and the second radiation display value to the control system 31. The control system 31 is used to determine initial calibration data based on the first and second irradiance display values ​​using corresponding standard irradiance display values, construct an irradiance drift model, perform temperature calibration analysis of the irradiance display values ​​based on the irradiance drift model using current temperature data to obtain temperature calibration data, perform range switching error analysis of each ultraviolet radiometer based on the first and second irradiance display values ​​to obtain range switching error data, generate target calibration data based on temperature calibration data, range switching error data and initial calibration data, and calibrate each ultraviolet radiometer 32 based on the target calibration data.

[0037] In the specific implementation of this invention, the specific implementation methods of the system items can be referred to the implementation methods of the above-mentioned method items, and will not be repeated here.

[0038] In this embodiment of the invention, a target channel is determined based on signal strength changes. Based on this target channel, the first irradiance display value corresponding to the irradiation band of each ultraviolet radiometer in the first range and the second irradiance display value in the second range are sequentially transmitted to the control system. This ensures the reliability and efficiency of data transmission and avoids affecting the efficiency of calibration data analysis. An irradiance drift model is constructed, and based on this model, temperature calibration analysis of the irradiance display value is performed using current temperature data to obtain temperature calibration data, thereby improving the accuracy of temperature calibration analysis. Initial calibration data is determined using the first and second irradiance display values ​​and corresponding standard irradiance display values. Range switching error analysis is performed on each UV radiometer based on the first and second irradiance display values. Target calibration data is generated based on temperature calibration data, range switching error data, and initial calibration data to calibrate each UV radiometer. The temperature calibration data, range switching error data, and initial calibration data provide sufficient data support for determining the final target calibration data, effectively improving the accuracy of target calibration data analysis and enabling the UV radiometer calibration to achieve a more ideal effect.

[0039] This invention provides a computer-readable storage medium storing a computer program. When executed by a processor, this program implements the intelligent calibration method for an ultraviolet radiometer according to any of the above embodiments. The computer-readable storage medium includes, but is not limited to, any type of disk (including floppy disks, hard disks, optical disks, CD-ROMs, and magneto-optical disks), ROM (Read-Only Memory), RAM (Random Access Memory), EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic cards, or optical cards. In other words, the storage device includes any medium that stores or transmits information in a readable form by a device (e.g., a computer, a mobile phone), and can be a read-only memory, a disk, or an optical disk, etc.

[0040] Example 4 Please see Figure 4 , Figure 4 This is a schematic diagram of the structural composition of the electronic device in an embodiment of the present invention.

[0041] This invention also provides an electronic device, such as... Figure 4 As shown, the electronic device includes a memory 41, a processor 43, and a computer program 42 stored in the memory 41 and executable on the processor 43. Those skilled in the art will understand that... Figure 3The illustrated electronic device does not constitute a limitation on all devices and may include more or fewer components than illustrated, or combine certain components. Memory 41 can be used to store computer program 42 and various functional modules. Processor 43 runs the computer program 42 stored in memory 41, thereby performing various functional applications and data processing of the device. Memory can be internal memory or external memory, or both. Internal memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, or random access memory. External memory may include hard disks, floppy disks, ZIP disks, USB flash drives, magnetic tapes, etc. Processor 43 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, a single-chip microcomputer, or a processor 43, or any conventional processor, etc. The processors and memories disclosed in this invention include, but are not limited to, these types of processors and memories. The processors and memories disclosed in this invention are merely examples and not intended to be limiting.

[0042] As one embodiment, the electronic device includes: one or more processors 43, a memory 41, and one or more computer programs 42, wherein the one or more computer programs 42 are stored in the memory 41 and configured to be executed by the one or more processors 43, and the one or more computer programs 42 are configured to perform the intelligent calibration method of the ultraviolet irradiance meter in any of the above embodiments. For the specific implementation process, please refer to the above embodiments, which will not be repeated here.

[0043] In this embodiment of the invention, a target channel is determined based on signal strength changes. Based on this target channel, the first irradiance display value corresponding to the irradiation band of each ultraviolet radiometer in the first range and the second irradiance display value in the second range are sequentially transmitted to the control system. This ensures the reliability and efficiency of data transmission and avoids affecting the efficiency of calibration data analysis. An irradiance drift model is constructed, and based on this model, temperature calibration analysis of the irradiance display value is performed using current temperature data to obtain temperature calibration data, thereby improving the accuracy of temperature calibration analysis. Initial calibration data is determined using the first and second irradiance display values ​​and corresponding standard irradiance display values. Range switching error analysis is performed on each UV radiometer based on the first and second irradiance display values. Target calibration data is generated based on temperature calibration data, range switching error data, and initial calibration data to calibrate each UV radiometer. The temperature calibration data, range switching error data, and initial calibration data provide sufficient data support for determining the final target calibration data, effectively improving the accuracy of target calibration data analysis and enabling the UV radiometer calibration to achieve a more ideal effect.

[0044] Furthermore, the above provides a detailed description of the intelligent calibration method and related apparatus for an ultraviolet radiation meter provided by the embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An intelligent calibration method for an ultraviolet radiometer, characterized in that, The method includes: The control system matches the power data of each level of the ultraviolet irradiation device based on the set voltage and current data, and analyzes the irradiation band of each level of the ultraviolet irradiation device based on the power data. The ultraviolet irradiation device is controlled to irradiate the probes of each ultraviolet radiometer with ultraviolet radiation source according to the irradiation band of each level in sequence. The target channel is determined based on the signal intensity change. Based on the target channel, the first irradiation display value corresponding to the irradiation band of each level under the first range and the second irradiation display value corresponding to the irradiation band of each level under the second range of each ultraviolet radiometer are transmitted to the control system in sequence. An irradiation drift model is constructed, and based on the irradiation drift model, temperature calibration analysis of the irradiation display value is performed using the current temperature data to obtain temperature calibration data; Initial calibration data are determined based on the first and second irradiation display values ​​and the corresponding standard irradiation display values. Based on the first and second irradiation display values, the range switching error of each ultraviolet radiometer is analyzed to obtain range switching error data. Target calibration data is generated based on temperature calibration data, range shifting error data, and initial calibration data, and each ultraviolet radiometer is calibrated based on the target calibration data. The step of determining the target channel based on signal strength changes, and then sequentially transmitting the first radiation display value corresponding to the irradiation band of each UV irradiance meter in the first range and the second radiation display value corresponding to the irradiation band of each level in the second range to the control system based on the target channel, includes: determining the interference source and signal-to-noise ratio during data transmission, and performing channel signal strength change analysis based on the interference source and signal-to-noise ratio to obtain channel signal strength change data; screening candidate channels based on the spectral characteristics of the communication area to obtain several candidate channels, and determining the target channel from the several candidate channels based on the wireless environment characteristics of the communication area and the channel signal strength change data; determining the channel coding strategy and signal modulation strategy based on the state data of the target channel and the wireless environment characteristics; determining the target anti-interference information using an anti-interference dataset based on the interference source; and sequentially transmitting the first radiation display value corresponding to the irradiation band of each level in the first range and the second radiation display value corresponding to the irradiation band of each level in the second range to the control system based on the target channel, target anti-interference information, channel coding strategy, and signal modulation strategy.

2. The intelligent calibration method for an ultraviolet radiometer according to claim 1, characterized in that, The process of matching the power data of each level of the ultraviolet irradiation device based on the set voltage and current data, and analyzing the irradiation band of each level of the ultraviolet irradiation device based on the power data, includes: Based on the different voltage and current data set, the power matching model is used to match the power data of each setting of the ultraviolet irradiation device. Based on the power data, the illumination bands corresponding to each power level are determined in the power-illumination band mapping table.

3. The intelligent calibration method for an ultraviolet radiometer according to claim 1, characterized in that, The process involves constructing an irradiation drift model, and based on this model, performing temperature calibration analysis on the irradiation display value using current temperature data to obtain temperature calibration data, including: The relationship function was determined based on several sets of experimental temperature data and corresponding experimental irradiation display values. An irradiation drift model is constructed using cubic spline functions based on relational functions, and irradiation drift data is generated using current temperature data based on the irradiation drift model. The compensation coefficient is determined using a feedforward neural network based on the current temperature data, and the temperature calibration data for the irradiation display value is determined using a recurrent neural network based on the compensation coefficient and irradiation drift data.

4. The intelligent calibration method for an ultraviolet radiometer according to claim 1, characterized in that, The process of determining initial calibration data based on the first and second irradiance display values ​​using corresponding standard irradiance display values ​​includes: Based on several historical irradiance values ​​and corresponding historical standard irradiance values, a nonlinear regression least squares method is used to fit the model and obtain a calibration model. Calculate the first deviation value between each first irradiation display value and the corresponding standard irradiation display value, and calculate the second deviation value between each second irradiation display value and the corresponding standard irradiation display value; The initial calibration data for each ultraviolet radiometer is determined using a calibration model based on the first and second deviation values.

5. The intelligent calibration method for an ultraviolet radiometer according to claim 1, characterized in that, The range switching error analysis of each ultraviolet radiometer based on the first and second irradiance display values ​​is used to obtain range switching error data, including: The nominal value of each ultraviolet radiometer is determined, and the range switching error of each ultraviolet radiometer is analyzed based on the nominal value, the first irradiance display value and the second irradiance display value to obtain the range switching error data.

6. The intelligent calibration method for an ultraviolet radiometer according to claim 1, characterized in that, The generation of target calibration data based on temperature calibration data, range shifting error data, and initial calibration data includes: The first calibration data is determined based on the range shift error data, and the target calibration data is generated based on the temperature calibration data, the first calibration data, and the initial calibration data.

7. An intelligent calibration system for an ultraviolet radiometer, characterized in that, The calibration system is used to perform the intelligent calibration method of the ultraviolet radiometer as described in any one of claims 1 to 6, and the calibration system includes a control system, a plurality of ultraviolet radiometers and an ultraviolet irradiation device; The control system is used to match the power data of each level of the ultraviolet irradiation device based on the set voltage and current data, and to analyze the irradiation band of each level of the ultraviolet irradiation device based on the power data. The ultraviolet irradiation device is used to sequentially irradiate the probes of each ultraviolet radiometer with ultraviolet radiation sources according to the irradiation band of each level. The ultraviolet radiometer is used to measure the first radiation display value corresponding to the irradiation band of each setting in the first range and the second radiation display value corresponding to the irradiation band of each setting in the second range, and transmits the first radiation display value and the second radiation display value to the control system. The control system is used to determine initial calibration data based on the first and second irradiance display values ​​using corresponding standard irradiance display values, construct an irradiance drift model, perform temperature calibration analysis of the irradiance display values ​​based on the irradiance drift model using current temperature data to obtain temperature calibration data, perform range switching error analysis of each ultraviolet radiometer based on the first and second irradiance display values ​​to obtain range switching error data, generate target calibration data based on temperature calibration data, range switching error data and initial calibration data, and calibrate each ultraviolet radiometer based on the target calibration data. The step of determining the target channel based on signal strength changes, and then sequentially transmitting the first radiation display value corresponding to the irradiation band of each UV irradiance meter in the first range and the second radiation display value corresponding to the irradiation band of each level in the second range to the control system based on the target channel, includes: determining the interference source and signal-to-noise ratio during data transmission, and performing channel signal strength change analysis based on the interference source and signal-to-noise ratio to obtain channel signal strength change data; screening candidate channels based on the spectral characteristics of the communication area to obtain several candidate channels, and determining the target channel from the several candidate channels based on the wireless environment characteristics of the communication area and the channel signal strength change data; determining the channel coding strategy and signal modulation strategy based on the state data of the target channel and the wireless environment characteristics; determining the target anti-interference information using an anti-interference dataset based on the interference source; and sequentially transmitting the first radiation display value corresponding to the irradiation band of each level in the first range and the second radiation display value corresponding to the irradiation band of each level in the second range to the control system based on the target channel, target anti-interference information, channel coding strategy, and signal modulation strategy.

8. An electronic device, the electronic device comprising a processor and a memory, characterized in that, The memory is used to store instructions, and the processor is used to call the instructions in the memory to cause the electronic device to execute the intelligent calibration method of the ultraviolet radiometer as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed on an electronic device, cause the electronic device to perform the intelligent calibration method for an ultraviolet irradiance meter as described in any one of claims 1 to 6.

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