A method and device for real-time detection of luminescent properties of phosphor

Abstract

The application provides a fluorescent powder luminescence characteristic real-time detection method and device, relates to the fluorescent powder detection technical field, and the method comprises the following steps: initializing a group of ants, and each ant represents a sequence of excitation light sources; each ant determines an excitation light source according to the pheromone concentration and heuristic information on the current path, and the excitation light source excites the fluorescent powder sample to generate a fluorescent signal; a photodetector is used to capture the fluorescent signal in real time; the fluorescent signal is converted into an electric signal, and the electric signal is amplified and processed to obtain an amplified electric signal; the amplified electric signal is analyzed, and the luminescence characteristic parameters of the fluorescent powder are extracted; and the quality of the path selected by each ant is evaluated according to the luminescence characteristic parameters of the fluorescent powder to obtain an evaluation result. The application improves the detection efficiency.

Description

Technical Field

[0001] This invention relates to the field of phosphor detection technology, and in particular to a method and apparatus for real-time detection of phosphor luminescence properties. Background Technology

[0002] In traditional phosphor luminescence property detection processes, data processing often involves significant manual operations or the use of basic automated scripts. When processing large-scale data, these methods may prove inefficient and prone to errors. Particularly in the conversion of fluorescence signals to electrical signals, and the subsequent signal amplification, processing, and analysis, the lack of intelligent data processing technologies makes accurate signal capture and efficient analysis a significant challenge.

[0003] Meanwhile, traditional methods may fail to fully leverage the correlation between historical and real-time data when processing the relationship between the two. This makes it difficult to dynamically adjust and optimize the evaluation of phosphor luminescence properties, and also hinders effective self-learning. Therefore, this may affect the accuracy and stability of the detection results to some extent, especially when dealing with diverse and complex phosphor samples, where the limitations of traditional methods become more apparent. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and device for real-time detection of the luminescence properties of phosphors, thereby improving the detection efficiency.

[0005] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0006] In a first aspect, a method for real-time detection of the luminescence properties of phosphors, the method comprising:

[0007] A phosphor sample is provided, which can emit fluorescence under a specific excitation light;

[0008] Using the excitation light source library, each light source represents a node on the path, and the pheromone concentration is initialized;

[0009] Initialize a group of ants, with each ant representing a sequence of excitation light sources;

[0010] Each ant determines an excitation source to excite the phosphor sample based on the pheromone concentration on its current path and heuristic information, in order to generate a fluorescence signal.

[0011] Fluorescence signals are captured in real time using a photodetector;

[0012] The fluorescence signal is converted into an electrical signal, and then amplified and processed to obtain the amplified electrical signal;

[0013] The amplified electrical signal was analyzed to extract the luminescence characteristic parameters of the phosphor.

[0014] The quality of the path chosen by each ant is evaluated based on the luminescence characteristics of the phosphor to obtain the evaluation results;

[0015] Based on the evaluation results, the pheromone concentration along the path is updated, and the ant colony is allowed to iterate multiple times to obtain the final luminescence characteristic parameters.

[0016] Furthermore, the fluorescence signal is converted into an electrical signal, amplified, and processed to obtain an amplified electrical signal, including:

[0017] A photodetector is used to target the excited phosphor sample in order to capture the emitted fluorescence signal;

[0018] The fluorescence signal is received by the photodetector and converted into photocurrent;

[0019] The photocurrent is amplified using a current amplifier and then filtered to obtain filtered data.

[0020] The filtered data is converted into a digital signal using an analog-to-digital converter, and the digital signal is then transformed from the time domain to the frequency domain using a Fourier transform.

[0021] Discrete Fourier transform is used to analyze the spectral components of the frequency domain signal in order to identify and separate the key frequency components of the fluorescence signal.

[0022] The key frequency components are converted from the frequency domain back to the time domain by inverse Fourier transform to obtain the final amplified electrical signal.

[0023] Furthermore, the photocurrent is amplified using a current amplifier and then filtered to obtain filtered data, including:

[0024] A current amplifier is used to amplify the photocurrent, and the photocurrent passes through... Filter the data to obtain filtered data.

[0025] in, For filtered data, representing time... The output after moving weighted filtering is the first One data point; Represents the sequence number of the data point; Represents a time variable; Represents the initial window size; This represents the parameters for adjusting the window size; Representing time power function, It is an adjustment index; Represents the weight adjustment parameter; This represents the position of each data point used to traverse the window; This represents the position within the window used to traverse all positions during the summation of the denominator in calculating the weighted coefficients; It is the base of the natural logarithm; This represents the data points in the original photocurrent sequence.

[0026] Furthermore, an analog-to-digital converter is used to convert the filtered data into a digital signal, and a Fourier transform is performed on the digital signal to convert it from the time domain to the frequency domain, including:

[0027] The filtered data is sampled and quantized using an analog-to-digital converter to obtain a digital signal. ;

[0028] For digital signals pass Perform a Fourier transform to calculate the frequency domain signal. ;

[0029] in, It is an index in the frequency domain; It is the length of the signal, representing the number of sampling points; It is an index in the time domain, indicating the position of the currently being processed sampling point. From 0 to ;

[0030] It is the Hamming window function. and It is the coefficient of the Hamming window; It is a complex exponential function used to convert time-domain signals to the frequency domain. It is the imaginary unit. It is phase; It is the rate of change of phase; and The product of represents the phase change with time and frequency.

[0031] Furthermore, the amplified electrical signal is analyzed to extract the luminescence characteristic parameters of the phosphor, including:

[0032] The amplified electrical signal is subjected to a fast Fourier transform to obtain the frequency domain signal;

[0033] Analyze the frequency domain signal to extract the emission peak value of the phosphor;

[0034] Calculate the color coordinates based on the frequency domain signal and the emission peak value of the phosphor;

[0035] The color rendering index is calculated using color coordinates and color data under a standard light source.

[0036] In the CIE 1931 chromaticity diagram, the color coordinates corresponding to blackbody radiation at different temperatures are connected to form a curve, and each curve corresponds to a specific color temperature. In the CIE 1931 chromaticity diagram, by calculating the distance between the fluorescent pink coordinates and each point on the blackbody trajectory, the blackbody radiation point that is close to the fluorescent pink coordinates can be found.

[0037] Once the blackbody radiation point is found, the temperature corresponding to the blackbody radiation point is the color temperature of the phosphor; if the color coordinates of the phosphor do not fall completely on the blackbody trajectory, the relevant color temperature is calculated.

[0038] Furthermore, the luminescence characteristic parameters include luminescence intensity, luminescence peak value, color temperature, color coordinates, and color rendering index.

[0039] Furthermore, based on the luminescent properties of the phosphor, the quality of the path chosen by each ant is evaluated to obtain evaluation results, including:

[0040] Based on the luminescence characteristic parameters of the phosphor, through Evaluate the quality of the path chosen by each ant to obtain the evaluation results;

[0041] in, Indicates the luminescence intensity of the phosphor; Indicates the duration of phosphor application; Indicates the color purity of the phosphor; This represents the distance the ant travels from the starting point to the ending point; This represents the time it takes for the ant to travel from the starting point to the ending point; , and Indicates the weight.

[0042] Secondly, a real-time detection device for the luminescence properties of phosphors includes:

[0043] The acquisition module provides a phosphor sample that emits fluorescence under a specific excitation light; it uses an excitation source library, where each source represents a node on a path, and initializes the pheromone concentration.

[0044] The processing module initializes a group of ants, with each ant representing a sequence of excitation sources. Each ant determines an excitation source to excite the phosphor sample based on the pheromone concentration and heuristic information along its current path, thereby generating a fluorescence signal. The fluorescence signal is then captured in real time by a photodetector.

[0045] The conversion module is used to convert the fluorescence signal into an electrical signal, amplify and process it to obtain an amplified electrical signal; analyze the amplified electrical signal to extract the luminescence characteristic parameters of the phosphor; and evaluate the quality of the path selected by each ant based on the luminescence characteristic parameters of the phosphor to obtain the evaluation result.

[0046] The evaluation module is used to update the pheromone concentration along the path based on the evaluation results, allowing the ant colony to iterate multiple times to obtain the final luminescence characteristic parameters.

[0047] Thirdly, a computing device, comprising:

[0048] One or more processors;

[0049] A storage device for storing one or more programs that, when executed by one or more processors, cause the one or more processors to implement the method.

[0050] Fourthly, a computer-readable storage medium storing a program that, when executed by a processor, implements the method.

[0051] The above-described solution of the present invention has at least the following beneficial effects:

[0052] By optimizing the excitation source sequence using an ant colony algorithm and combining it with the real-time capture function of a photodetector, this method can rapidly and accurately acquire the luminescence characteristics of phosphors. This significantly improves detection efficiency and enables real-time detection. Utilizing the intelligent search capability of the ant colony algorithm, this method can continuously optimize the selection of the excitation source through multiple iterations, thereby extracting the luminescence characteristic parameters of the phosphor more accurately. This self-optimizing characteristic makes the detection method more adaptable and flexible.

[0053] By conducting in-depth analysis of the amplified electrical signals, this method can more accurately extract the luminescence characteristic parameters of phosphors, thus providing more reliable evaluation results. The ant colony algorithm, by simulating the foraging behavior of ants in nature, can self-adjust under different environments and conditions to find the optimal excitation light source sequence. This adaptability enables the method to cope with various complex and variable phosphor samples. Attached Figure Description

[0054] Figure 1 This is a flowchart illustrating a method for real-time detection of phosphor luminescence properties provided in an embodiment of the present invention.

[0055] Figure 2 This is a schematic diagram of a real-time detection device for the luminescence properties of phosphors provided in an embodiment of the present invention. Detailed Implementation

[0056] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0057] like Figure 1 As shown in the figure, an embodiment of the present invention proposes a method for real-time detection of the luminescence properties of phosphors, the method comprising the following steps:

[0058] Step 11: Provide a phosphor sample that can emit fluorescence under a specific excitation light;

[0059] Step 12: Use the excitation light source library, where each light source represents a node on the path, and initialize the pheromone concentration;

[0060] Step 13: Initialize a group of ants, with each ant representing a sequence of excitation light sources;

[0061] Step 14: Each ant determines an excitation source to excite the phosphor sample based on the pheromone concentration and heuristic information on the current path, so as to generate a fluorescence signal.

[0062] Step 15: Capture fluorescence signals in real time using a photodetector;

[0063] Step 16: Convert the fluorescence signal into an electrical signal, amplify and process it to obtain an amplified electrical signal;

[0064] Step 17: Analyze the amplified electrical signal and extract the luminescence characteristic parameters of the phosphor;

[0065] Step 18: Evaluate the quality of the path selected by each ant based on the luminescence characteristics parameters of the phosphor to obtain the evaluation results;

[0066] Step 19: Based on the evaluation results, update the pheromone concentration on the path and allow the ant colony to iterate multiple times to obtain the final luminescence characteristic parameters. The luminescence characteristic parameters include luminescence intensity, luminescence peak, color temperature, color coordinates, and color rendering index.

[0067] In this embodiment of the invention, step 11 is the foundation of the entire detection method, ensuring that the phosphor sample used has luminescent properties. Step 12, by establishing a library containing multiple excitation light sources and initializing the pheromone concentration for each light source (i.e., path node), provides a rich selection space and initial conditions for the subsequent ant colony optimization process. Step 13, by initializing the ant colony, an intelligent search strategy is introduced, with each ant representing a sequence of excitation light sources providing the possibility of finding the optimal excitation conditions. Step 14, this step combines pheromone concentration and heuristic information, enabling the ants to intelligently select excitation light sources, improving the efficiency and accuracy of finding the optimal excitation conditions. Step 15, real-time capture of the fluorescence signal ensures the timeliness and accuracy of the detection process, providing timely and accurate data for subsequent signal processing and analysis. Step 16, signal conversion and amplification enhance the weak fluorescence signal, facilitating subsequent electrical signal analysis and processing, and improving the sensitivity and accuracy of detection. Step 17, through in-depth analysis of the amplified electrical signal, the luminescent characteristic parameters of the phosphor can be accurately extracted. Step 18: By evaluating the quality of the path chosen by each ant, the impact of different excitation light source sequences on the phosphor's luminescence properties can be quantified. Step 19: Through multiple iterations and updates to the pheromone concentration, the ant colony algorithm gradually converges to the optimal excitation light source sequence, thereby obtaining more accurate phosphor luminescence property parameters that comprehensively reflect the phosphor's luminescence performance.

[0068] In practical use, step 11 specifically includes the following:

[0069] Obtain phosphor samples, prepare phosphor samples suitable for testing, and verify the luminescence properties of phosphors under laboratory conditions using known excitation light sources to ensure that they can emit fluorescence under specific excitation light.

[0070] Step 12 specifically includes the following:

[0071] Collect or generate a series of different excitation sources, such as LEDs and lasers of different wavelengths; map each excitation source as a path node, which will constitute the path the ant walks in the algorithm. Assign an initial pheromone concentration value to each path node (i.e., each excitation source).

[0072] Step 13 specifically includes the following:

[0073] Determine the number of ants to initialize, with each ant representing a possible sequence of excitation sources. During initialization, each ant is assigned a random or strategy-based initial sequence of excitation sources.

[0074] Step 14 specifically includes the following:

[0075] Each ant calculates the probability of selecting each adjacent node in its current path (i.e., the current excitation source) based on the pheromone concentration and heuristic information (such as the wavelength and intensity of the light source). According to the calculated probabilities, it randomly selects the next path node, i.e., the next excitation source to try. The selected excitation source is then used to excite the phosphor sample to generate a fluorescence signal. The probability is calculated using the following formula:

[0076] ;

[0077] in, Indicates at time ,Ant From node Transfer to node The probability of; Indicates at time ,node and nodes The concentration of pheromones along the path between them; Indicates from node To the node Heuristic information; and These are two parameters used to control the relative importance of pheromones and heuristic information in probability calculations; Ants The next step is to select the set of all nodes; pheromone concentration is typically represented at a specific time. path arrive The pheromone concentration on all paths is initialized to the same value at the beginning of the ant colony algorithm. As the algorithm progresses, the pheromone concentration is updated based on the ants' movement along the paths and the evaluation of the phosphor's luminescence characteristics. The update calculation formula is:

[0078] ;

[0079] in, It is the evaporation rate of pheromones, a constant between 0 and 1; It refers to the number of ants; It's an ant. In the path arrive The amount of pheromones left on it; Indicates at time ,node and nodes The concentration of pheromones along the path between them; among which, heuristic information The calculation formula is:

[0080] ;

[0081] in, and These are the excitation light sources. wavelength and intensity; and These are the optimal wavelength and optimal intensity of phosphor emission; and These are tolerance parameters for wavelength and intensity.

[0082] Step 15 specifically includes the following:

[0083] Choose a suitable photodetector, such as a photomultiplier tube (PMT) or charge-coupled device (CCD) camera, to ensure it can sensitively capture fluorescence signals. Based on the luminescent properties of the phosphor and experimental conditions, set the photodetector parameters, such as exposure time and gain. When the ant-selected excitation source excites the phosphor, the photodetector captures the generated fluorescence signal in real time. These signals are then converted into electrical signals for subsequent processing and analysis.

[0084] In a preferred embodiment of the present invention, step 16, which converts the fluorescence signal into an electrical signal and amplifies and processes it to obtain an amplified electrical signal, may include:

[0085] Step 161: Use a photodetector to align with the excited phosphor sample to capture the emitted fluorescence signal;

[0086] Step 162: The fluorescence signal is received by the photodetector and converted into photocurrent;

[0087] Step 163: Amplify the photocurrent using a current amplifier and filter the photocurrent to obtain filtered data;

[0088] Step 164: Use an analog-to-digital converter to convert the filtered data into a digital signal, perform a Fourier transform on the digital signal, and convert the digital signal from the time domain to the frequency domain.

[0089] Step 165: Use Discrete Fourier Transform to analyze the spectral components of the frequency domain signal in order to identify and separate the key frequency components of the fluorescence signal.

[0090] Step 166: The key frequency components are converted from the frequency domain back to the time domain by inverse Fourier transform to obtain the final amplified electrical signal.

[0091] In this embodiment of the invention, step 161 ensures that the fluorescence signal can be accurately captured, providing reliable data for subsequent signal processing. Step 162 converts the fluorescence signal to an electrical signal, facilitating subsequent electrical signal processing and analysis. Step 163 amplifies the photocurrent, improving the signal-to-noise ratio, and filtering removes noise and interference, resulting in a purer signal. Step 164 enables digital-to-analog conversion, allowing signal processing in the digital domain, while Fourier transform provides a frequency domain perspective, facilitating the identification and separation of key frequency components of the fluorescence signal. Step 165 uses discrete Fourier transform to accurately analyze the spectral components of the signal, thereby accurately identifying and separating the key frequency components of the fluorescence signal, providing accurate data for subsequent signal processing. Step 166 uses inverse Fourier transform to restore the key frequency components to the time domain, obtaining an amplified electrical signal, facilitating subsequent signal analysis and processing. Simultaneously, by retaining only the key frequency components, unnecessary noise and interference can be removed, further improving the purity and accuracy of the signal.

[0092] Step 161: In this step, the phosphor sample is first excited, typically by irradiating the phosphor with a light source of a specific wavelength (such as ultraviolet light). After absorbing the energy of the excitation light, the phosphor emits a fluorescence signal of a specific wavelength. To capture these fluorescence signals, a photodetector is needed. A photodetector is a device that detects light signals and converts them into electrical signals. Common photodetectors include photodiodes and photomultiplier tubes. During alignment, it is necessary to ensure that the receiving surface of the photodetector is directly opposite the emitting surface of the phosphor sample and at a suitable distance to ensure that the fluorescence signal can enter the photodetector completely. Furthermore, it is necessary to avoid interference from other light sources or reflected light to ensure the accuracy of the captured fluorescence signal.

[0093] Step 162: When the fluorescence signal enters the photodetector, the photoelectric effect inside the detector converts the light signal into an electrical signal. Specifically, photons in the fluorescence signal interact with electrons inside the detector, causing the electrons to be excited from their bound state, forming a photocurrent. The magnitude of the photocurrent is proportional to the intensity of the fluorescence signal; therefore, the intensity of the fluorescence signal can be indirectly measured by measuring the photocurrent. Furthermore, the photocurrent has a good response speed, reflecting changes in the fluorescence signal in real time. In practical applications, to improve the conversion efficiency and stability of the photocurrent, the photodetector is usually optimized and calibrated. For example, suitable photoelectric materials can be selected, the detector structure optimized, and the detector bias voltage adjusted.

[0094] In a preferred embodiment of the present invention, step 163 above, which involves amplifying the photocurrent using a current amplifier and filtering the photocurrent to obtain filtered data, includes:

[0095] Step 1631: Amplify the photocurrent using a current amplifier, and pass the photocurrent through... Filter the data to obtain filtered data.

[0096] in, For filtered data, representing time... The output after moving weighted filtering is the first One data point; Represents the sequence number of the data point; Represents a time variable; Represents the initial window size; This represents the parameters for adjusting the window size; Representing time power function, It is an adjustment index; Represents the weight adjustment parameter; This represents the position of each data point used to traverse the window; This represents the position within the window used to traverse all positions during the summation of the denominator in calculating the weighted coefficients; It is the base of the natural logarithm; This represents the data points in the original photocurrent sequence.

[0097] In this embodiment of the invention, a current amplifier is used to increase the amplitude of the photocurrent, making the signal easier to process and detect. Filtering the photocurrent using a specific moving weighted filtering formula effectively removes noise and interference, improving the signal-to-noise ratio. This filtering method considers the time variable and adjusts the window size and weights according to time, thus better adapting to the changing characteristics of the signal. The filtered data is smoother and more reliable, reducing the impact of noise and interference on subsequent signal processing and analysis. This helps improve the accuracy and reliability of fluorescence signal detection. The parameters in the formula can be adjusted according to actual conditions, making the filtering method more flexible and adaptable. This allows users to optimize the filtering effect based on specific fluorescence signal characteristics and detection requirements.

[0098] In a preferred embodiment of the present invention, step 164 above, which uses an analog-to-digital converter to convert the filtered data into a digital signal, and performs a Fourier transform on the digital signal to convert the digital signal from the time domain to the frequency domain, includes:

[0099] Step 1641: Use an analog-to-digital converter to sample and quantize the filtered data to obtain a digital signal. ;

[0100] Step 1642, for digital signals pass Perform a Fourier transform to calculate the frequency domain signal. ;

[0101] in, It is an index in the frequency domain; It is the length of the signal, representing the number of sampling points; It is an index in the time domain, indicating the position of the currently being processed sampling point. From 0 to ;

[0102] It is the Hamming window function. and It is the coefficient of the Hamming window; It is a complex exponential function used to convert time-domain signals to the frequency domain. It is the imaginary unit. It is phase; It is the rate of change of phase; and The product of represents the phase change with time and frequency.

[0103] In this embodiment of the invention, a digital signal is obtained by sampling and quantizing the filtered data using an analog-to-digital converter. This allows the signal to be processed and analyzed in the digital domain, facilitating subsequent signal processing steps. Performing a Fourier transform on the digital signal converts it from the time domain to the frequency domain. Frequency domain analysis provides information on the signal's composition and distribution at different frequencies, helping to identify and separate key frequency components of the fluorescence signal. The Hamming window function is used in the Fourier transform, which reduces spectral leakage and sidelobe levels, improving the accuracy of spectral analysis. The Hamming window function reduces abrupt changes by smoothing signal edges, thereby reducing interference and errors in the spectrum. Through the Fourier transform, a detailed representation of the signal in the frequency domain can be obtained, including the amplitude and phase information of different frequency components. This helps improve the resolution and accuracy of fluorescence signal detection.

[0104] In step 164, the frequency domain signal X[k] has been obtained through Fourier transform. Now, the Discrete Fourier Transform (DFT) is needed to analyze the spectral components of this frequency domain signal.

[0105] The Digital Signal Transformation (DFT) is a widely used technique in digital signal processing. It converts a time-domain signal into a frequency-domain signal, providing amplitude and phase information at different frequencies. Through the DFT, the spectrum of a signal can be obtained, which shows the composition and distribution of the signal at different frequencies.

[0106] In step 165, the Distributed Fourier Transform (DFT) will be used to analyze the spectral components of the frequency domain signal X[k]. Specifically, the amplitude and phase spectra of X[k] will be calculated to understand the amplitude and phase information of the signal at different frequencies. The amplitude spectrum can be used to identify the key frequency components of the fluorescence signal. These key frequency components typically correspond to the characteristic peaks or frequencies of the fluorescence signal and are important components of the fluorescence signal.

[0107] Step 166: In step 165, the key frequency components of the fluorescence signal have been identified. Now, these key frequency components need to be transformed from the frequency domain back to the time domain to obtain the final amplified electrical signal. The inverse Fourier transform (IFT) is a technique for converting frequency-domain signals back to time-domain signals. Through the IFT, the frequency components in a frequency-domain signal can be converted back to a time signal in the time domain. In step 166, the IFT will be used to transform the key frequency components from the frequency domain back to the time domain. Specifically, the IFT formula will be applied to the key frequency components, and the corresponding time-domain signal will be calculated.

[0108] This time-domain signal is the final amplified electrical signal. It contains the key frequency components of the fluorescence signal and has had noise and interference removed. This electrical signal can be used for subsequent signal processing and analysis, such as feature extraction and pattern recognition.

[0109] In summary, steps 165 and 166 analyze and process the frequency domain signal by using discrete Fourier transform and inverse Fourier transform, thereby realizing the identification and separation of key frequency components of the fluorescence signal and obtaining the final amplified electrical signal.

[0110] Suppose a phosphor sample emits a fluorescence signal of a specific wavelength upon excitation by ultraviolet light. The goal is to capture, process, and analyze this fluorescence signal. An ultraviolet light source with a wavelength of 365 nm is chosen as the excitation light to illuminate the phosphor sample. A specific phosphor is used, which emits green fluorescence with a wavelength of approximately 520 nm upon excitation by ultraviolet light. A highly sensitive photodiode is selected as the detector, whose spectral response range covers the emission wavelength of the phosphor.

[0111] The phosphor sample was illuminated with a 365 nm ultraviolet light source. After absorbing the ultraviolet light, the phosphor emitted 520 nm green fluorescence. A photodiode was aligned with the emitting surface of the phosphor sample, ensuring a suitable distance to fully capture the fluorescence signal. The photodiode converted the received fluorescence signal into a photocurrent. A current amplifier was used to amplify the photocurrent by 100 times to improve signal strength. A moving weighted filtering method was used to filter the amplified signal, with a window size of 50 data points to reduce noise interference. The filtered analog signal was converted into a digital signal using an analog-to-digital converter, with a sampling frequency of 10 kHz.

[0112] A Fast Fourier Transform (FFT) was performed on the digital signal to transform it from the time domain to the frequency domain. In the frequency domain, the main frequency components of the fluorescence signal were identified, particularly the frequency corresponding to the 520 nm fluorescence. An Inverse Fourier Transform was then used to transform the identified key frequency components back from the frequency domain to the time domain. The reconstructed time-domain signal was analyzed to observe the intensity changes and stability of the fluorescence signal. Through this processing procedure, the key frequency components of the fluorescence signal were successfully extracted from complex background noise. The reconstructed time-domain signal clearly shows the intensity changes of the fluorescence signal, providing a reliable foundation for subsequent data analysis and applications.

[0113] In a preferred embodiment of the present invention, step 17 above, analyzing the amplified electrical signal and extracting the luminescence characteristic parameters of the phosphor, includes:

[0114] Step 171: Perform a fast Fourier transform on the amplified electrical signal to obtain the frequency domain signal;

[0115] Step 172: Analyze the frequency domain signal and extract the emission peak of the phosphor;

[0116] Step 173: Calculate the color coordinates based on the frequency domain signal and the emission peak of the phosphor;

[0117] Step 174: Calculate the color rendering index using color coordinates and color data under a standard light source;

[0118] Step 175: In the CIE1931 chromaticity diagram, the color coordinates corresponding to blackbody radiation at different temperatures are connected to form a curve, and each curve corresponds to a specific color temperature; in the CIE1931 chromaticity diagram, by calculating the distance between the fluorescent pink coordinates and each point on the blackbody trajectory, the blackbody radiation point that is close to the fluorescent pink coordinates is found.

[0119] Step 176: After finding the blackbody radiation point, the temperature corresponding to the blackbody radiation point is the color temperature of the phosphor; if the color coordinates of the phosphor do not fall completely on the blackbody trajectory, then calculate the relevant color temperature.

[0120] In this embodiment of the invention, step 171, FFT is an efficient algorithm used to calculate the Discrete Fourier Transform (DFT) and its inverse transform of a sequence. FFT converts electrical signals in the time domain into frequency domain signals, which helps in analyzing the frequency components of the signal. Step 172, in the frequency domain signal, the emission peak of the phosphor corresponds to a specific frequency. By analyzing the frequency domain signal, the main emission frequency of the phosphor can be determined, and the emission peak can be extracted. Step 173, chromaticity coordinates are numerical values ​​representing color, usually represented using coordinates on the CIE 1931 chromaticity diagram. Using the emission peak of the phosphor and the frequency domain signal, the chromaticity coordinates of the phosphor on the CIE 1931 chromaticity diagram can be calculated. Step 174, the color rendering index (CRI) is an indicator of a light source's ability to render the colors of an object. By comparing the chromaticity coordinates of the phosphor with color data under a standard light source, the CRI of the phosphor can be calculated. Step 175: The blackbody locus on the CIE 1931 chromaticity diagram represents the chromaticity coordinates of blackbody radiation at different temperatures. By calculating the distances between the phosphor's coordinates and points on the blackbody locus, the blackbody radiation point closest to the phosphor's coordinates can be found. Step 176: If the phosphor's chromaticity coordinates fall on the blackbody locus, the corresponding blackbody radiation temperature is the phosphor's color temperature. If the phosphor's chromaticity coordinates do not fall entirely on the blackbody locus, the relevant color temperature is determined by calculating the distance to the nearest blackbody radiation point.

[0121] The specific implementation process of step 171 is as follows:

[0122] Acquire amplified electrical signal data, which are voltage or current values ​​in a time series. Apply the Fast Fourier Transform (FFT) algorithm to convert the time series data into frequency domain data. FFT is a mathematical algorithm that decomposes a time-domain signal into a combination of sine and cosine waves of different frequencies. The output of FFT is a set of complex numbers, where the magnitude represents the amplitude at the corresponding frequency and the argument represents the phase. Only the amplitude is considered to form the frequency domain signal. Step 172: Observe the frequency domain signal obtained by FFT and find the frequency component with the largest amplitude, which usually corresponds to the main emission frequency of the phosphor. Record the frequency value of this maximum amplitude, which represents the emission peak of the phosphor. Step 173: Based on the amplitude of the emission peak and other important frequency components, the spectral distribution of phosphor emission can be estimated. Use this spectral distribution and a standard observer function (such as the CIE 1931 standard observer) to calculate the tristimulus values ​​(X, Y, Z). Convert the tristimulus values ​​to chromatic coordinates (x, y), usually using the formulas x = X / (X+Y+Z) and y = Y / (X+Y+Z). Step 174: Select a set of standard color samples (typically 14 colors) and their color data under a standard light source. Use the color coordinates and spectral distribution of the phosphor to calculate the color of these color samples under phosphor illumination. Compare the color differences between the standard light source and phosphor illumination, and calculate the color rendering index (Ra) based on the degree of difference.

[0123] Step 175: Plot the chromaticity coordinates of the phosphor on the CIE 1931 chromaticity diagram. Using the data from the blackbody locus (chromaticity coordinates of blackbody radiation at a series of different temperatures), calculate the distance between the phosphor's coordinates and each blackbody radiation point. Find the blackbody radiation point with the smallest distance. Step 176: If the phosphor's chromaticity coordinates fall exactly on the blackbody locus, then the temperature of the corresponding blackbody radiation is the phosphor's color temperature. If the phosphor's chromaticity coordinates are not on the blackbody locus, calculate the distance to the nearest blackbody radiation point and estimate the correlated color temperature (CCT) based on this distance and the relevant formula.

[0124] For example, suppose we have an amplified electrical signal dataset containing 1024 data points at a sampling frequency of 1000 Hz. Using an FFT library (such as numpy.fft in Python), we perform an FFT transform on this data to obtain a frequency domain signal containing 512 frequency components. After analyzing the frequency domain signal, we find that the frequency component with the largest amplitude is 450 Hz, corresponding to the dominant emission frequency of the phosphor. Based on the frequency domain signal data, we estimate the spectral distribution of the phosphor and calculate the tristimulus values ​​X=0.3, Y=0.5, Z=0.2. These are further converted to color coordinates, resulting in x=0.3, y=0.5. We use 14 standard color samples and calculate their colors under phosphor illumination. By comparing color differences, we obtain a color rendering index (CRI) of 85 for the phosphor. We plot the phosphor's color coordinates (x=0.3, y=0.5) on the CIE 1931 chromaticity diagram and calculate its distance to the blackbody radiation point at different temperatures. Finally, we find the closest point corresponding to blackbody radiation at 4000 K. Since the coordinates of the phosphor pink (x=0.3, y=0.5) do not fall completely on the blackbody trajectory, we calculate its distance from the 4000K blackbody radiation point and estimate the correlated color temperature of the phosphor to be approximately 3800K based on this distance.

[0125] In a preferred embodiment of the present invention, step 18 above, which evaluates the quality of the path selected by each ant based on the luminescence characteristic parameters of the phosphor to obtain an evaluation result, includes:

[0126] Step 181, based on the luminescence characteristic parameters of the phosphor, through... Evaluate the quality of the path chosen by each ant to obtain the evaluation results;

[0127] in, Indicates the luminescence intensity of the phosphor; Indicates the duration of phosphor application; Indicates the color purity of the phosphor; This represents the distance the ant travels from the starting point to the ending point; This represents the time it takes for the ant to travel from the starting point to the ending point; , and Indicates the weight.

[0128] In this embodiment of the invention, this step provides a comprehensive path quality assessment by comprehensively considering multiple luminescent characteristic parameters of the phosphor (luminescence intensity, duration, and color purity), as well as the distance and time the ant travels. This helps to more accurately reflect the quality of the path chosen by the ant. By adjusting the weighting coefficients, the evaluation criteria can be fine-tuned according to actual needs, making the evaluation process more flexible and adaptable. This evaluation method can be applied to real-world scenarios, such as robot path planning and logistics transportation, to optimize path selection and improve efficiency and performance by simulating ant behavior.

[0129] Step 19 involves updating the pheromone concentration along the path based on the evaluation results from the previous step, and optimizing the ant colony algorithm through multiple iterations, with the ultimate goal of obtaining the optimal luminescence characteristic parameters. The specific implementation process of this step is as follows.

[0130] Specific implementation process:

[0131] Before starting the iteration, a uniform pheromone concentration is initialized for all possible paths. In each iteration, each ant selects the next node based on the pheromone concentration on the current path and heuristic information (such as distance, visibility, etc.). After completing a full path, the ant returns to the starting point and updates the pheromone concentration on the path it traversed based on the quality of its path (evaluation result S). The pheromone on the path evaporates over time, simulating the dissipation of pheromones in nature. Based on the ant's path quality evaluation, the pheromone concentration on the path is increased or decreased. High-quality paths will receive more pheromones to attract more ants to choose that path. A maximum number of iterations is set, or iteration stops when the optimal solution does not show significant improvement after several consecutive iterations. After the iteration ends, the optimal path and its corresponding luminescence characteristic parameters are output, including luminescence intensity, luminescence peak, color temperature, color coordinates, and color rendering index.

[0132] Suppose there is a phosphor production line with multiple detection points. Each detection point can measure the phosphor's luminescence intensity, peak emission, color temperature, chromaticity, and color rendering index. Since the phosphor is constantly flowing on the production line, it is necessary to complete as many detections as possible within a limited time while ensuring the accuracy of the results. An ant colony optimization algorithm is used to optimize the detection path to obtain the most accurate phosphor luminescence characteristic parameters within a limited time.

[0133] For example, suppose there are 5 detection points (A, B, C, D, E) on a production line, each capable of measuring 5 luminescence characteristic parameters of the phosphor. The goal of the ant colony algorithm is to find the path that most accurately and completely measures the phosphor's luminescence characteristics within a finite time (e.g., 1 minute). After multiple iterations, the ant colony algorithm may find an optimized path, such as ACE. Detection points on this path can complete the measurement of all phosphor luminescence characteristic parameters within a finite time, and the measurement results have high accuracy and completeness. Ultimately, the production line can set the priority and order of detection points based on the optimized path provided by the ant colony algorithm to achieve real-time and accurate detection of the phosphor's luminescence characteristics. This helps improve production efficiency and product quality while reducing detection costs and time.

[0134] like Figure 2 As shown, an embodiment of the present invention also provides a real-time detection device 20 for the luminescence properties of phosphors, comprising:

[0135] The acquisition module 21 is used to provide a phosphor sample that can emit fluorescence under a specific excitation light; it uses an excitation light source library, where each light source represents a node on a path, and initializes the pheromone concentration;

[0136] Processing module 22 is used to initialize a group of ants, each ant representing a sequence of excitation light sources; each ant determines an excitation light source to excite the phosphor sample based on the pheromone concentration on the current path and heuristic information to generate a fluorescence signal; the fluorescence signal is captured in real time by a photodetector.

[0137] The conversion module 23 is used to convert the fluorescence signal into an electrical signal, amplify and process it to obtain an amplified electrical signal; analyze the amplified electrical signal to extract the luminescence characteristic parameters of the phosphor; and evaluate the quality of the path selected by each ant based on the luminescence characteristic parameters of the phosphor to obtain the evaluation result.

[0138] Evaluation module 24 is used to update the pheromone concentration on the path based on the evaluation results, allowing the ant colony to perform multiple iterations to obtain the final luminescence characteristic parameters.

[0139] It should be noted that this device is a device corresponding to the above method. All implementation methods in the above method embodiments are applicable to this embodiment and can achieve the same technical effect.

[0140] Embodiments of the present invention also provide a computing device, including: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0141] Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.

Claims

1. A method for real-time detection of the luminescence properties of phosphors, characterized in that, The method includes: A phosphor sample is provided, which can emit fluorescence under a specific excitation light; Using the excitation light source library, each light source represents a node on the path, and the pheromone concentration is initialized; Initialize a group of ants, with each ant representing a sequence of excitation light sources; Each ant, based on the pheromone concentration along its current path and heuristic information, determines an excitation source to excite the phosphor sample, thereby generating a fluorescence signal. The calculation formula is: ； in, and These are the excitation light sources. wavelength and intensity; and These are the optimal wavelength and optimal intensity of phosphor emission; and These are tolerance parameters for wavelength and intensity; the updated calculation formula is: ； in, It is the evaporation rate of pheromones, a constant between 0 and 1; It refers to the number of ants; It's an ant. In the path arrive The amount of pheromones left on it; Indicates at time ,node and nodes The concentration of pheromones along the path between them; Fluorescence signals are captured in real time using a photodetector; The fluorescence signal is converted into an electrical signal, and then amplified and processed to obtain the amplified electrical signal; The amplified electrical signal was analyzed to extract the luminescence characteristic parameters of the phosphor. The quality of the path chosen by each ant is evaluated based on the luminescence characteristics of the phosphor to obtain the evaluation results; Based on the evaluation results, the pheromone concentration along the path is updated, and the ant colony is allowed to iterate multiple times to obtain the final luminescence characteristic parameters. The fluorescence signal is converted into an electrical signal, amplified, and processed to obtain the amplified electrical signal, including: A photodetector is used to target the excited phosphor sample in order to capture the emitted fluorescence signal; The fluorescence signal is received by the photodetector and converted into photocurrent; The photocurrent is amplified using a current amplifier and then filtered to obtain filtered data. The filtered data is converted into a digital signal using an analog-to-digital converter, and the digital signal is then transformed from the time domain to the frequency domain using a Fourier transform. Discrete Fourier transform is used to analyze the spectral components of the frequency domain signal in order to identify and separate the key frequency components of the fluorescence signal. The key frequency components are converted from the frequency domain back to the time domain by inverse Fourier transform to obtain the final amplified electrical signal. The photocurrent is amplified using a current amplifier and then filtered to obtain filtered data, including: A current amplifier is used to amplify the photocurrent, and the photocurrent passes through... Filter the data to obtain filtered data. in, For filtered data, representing time... The output after moving weighted filtering is the first One data point; The serial number representing the data point; Represents a time variable; Represents the initial window size; This represents the parameters for adjusting the window size; Representing time power function, It is an adjustment index; Represents the weight adjustment parameter; This represents the position of each data point used to traverse the window; This represents the position within the window used to traverse all positions during the summation of the denominator in calculating the weighted coefficients; It is the base of the natural logarithm; Represents data points in the original photocurrent sequence; The filtered data is converted into a digital signal using an analog-to-digital converter, and the digital signal is then transformed from the time domain to the frequency domain using a Fourier transform, including: The filtered data is sampled and quantized using an analog-to-digital converter to obtain a digital signal. ; For digital signals pass Perform a Fourier transform to calculate the frequency domain signal. ; in, It is an index in the frequency domain; It is the length of the signal, representing the number of sampling points; It is an index in the time domain, indicating the position of the currently being processed sampling point. From 0 to ; It is the Hamming window function. and It is the coefficient of the Hamming window; It is a complex exponential function used to convert time-domain signals to the frequency domain. It is the imaginary unit. It is phase; It is the rate of change of phase; and The product represents the phase change with time and frequency; Based on the luminescent properties of the phosphor, the quality of the path chosen by each ant is evaluated to obtain the evaluation results, including: Based on the luminescence characteristic parameters of the phosphor, through Evaluate the quality of the path chosen by each ant to obtain the evaluation results; in, Indicates the luminescence intensity of the phosphor; Indicates the duration of phosphor application; Indicates the color purity of the phosphor; This represents the distance the ant travels from the starting point to the ending point; This represents the time it takes for the ant to travel from the starting point to the ending point; , and Indicate weights; analyze the amplified electrical signal to extract the luminescence characteristic parameters of the phosphor, including: The amplified electrical signal is subjected to a fast Fourier transform to obtain the frequency domain signal; Analyze the frequency domain signal to extract the emission peak value of the phosphor; Calculate the color coordinates based on the frequency domain signal and the emission peak value of the phosphor; The color rendering index is calculated using color coordinates and color data under a standard light source. In the CIE 1931 chromaticity diagram, the color coordinates corresponding to blackbody radiation at different temperatures are connected to form a curve, and each curve corresponds to a specific color temperature. In the CIE 1931 chromaticity diagram, by calculating the distance between the fluorescent pink coordinates and each point on the blackbody trajectory, the blackbody radiation point that is close to the fluorescent pink coordinates can be found. Once the blackbody radiation point is found, the temperature corresponding to the blackbody radiation point is the color temperature of the phosphor. If the color coordinates of the phosphor do not fall completely on the blackbody trajectory, the relevant color temperature is calculated. The luminescence characteristic parameters include luminescence intensity, luminescence peak value, color temperature, color coordinates, and color rendering index.

2. A real-time detection device for the luminescence properties of phosphors, characterized in that, Applied to the method of claim 1, comprising: The acquisition module provides a phosphor sample that emits fluorescence under a specific excitation light; it uses an excitation source library, where each source represents a node on a path, and initializes the pheromone concentration. The processing module initializes a group of ants, with each ant representing a sequence of excitation sources. Each ant determines an excitation source to excite the phosphor sample based on the pheromone concentration and heuristic information along its current path, thereby generating a fluorescence signal. The fluorescence signal is then captured in real time by a photodetector. The conversion module is used to convert the fluorescence signal into an electrical signal, amplify and process it to obtain an amplified electrical signal; analyze the amplified electrical signal to extract the luminescence characteristic parameters of the phosphor; and evaluate the quality of the path selected by each ant based on the luminescence characteristic parameters of the phosphor to obtain the evaluation result. The evaluation module is used to update the pheromone concentration along the path based on the evaluation results, allowing the ant colony to iterate multiple times to obtain the final luminescence characteristic parameters.

3. A computing device, characterized in that, include: One or more processors; A storage device for storing one or more programs that, when executed by one or more processors, cause the one or more processors to perform the method as described in claim 1.

4. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program that, when executed by a processor, implements the method as described in claim 1.

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