Real-time quality detection system and method for platinum-iridium developer ring production based on big data

Abstract

The present invention discloses a real-time quality detection system and method for the production of platinum-iridium developer rings based on big data, and relates to the field of material analysis. The present invention obtains a final detection result by detecting the components and performance of the platinum-iridium developer rings to be detected, thereby improving the comprehensiveness and accuracy of the detection; uses an initial X-ray fluorescence spectrum system to measure the component mass fraction data of multiple platinum-iridium developer ring samples at each stage, and then compares the measured component mass fraction data with the actual component mass fraction data, and reversely adjusts the parameters of the initial X-ray fluorescence spectrum system through the accuracy data, thereby providing an accurate detection tool for subsequent spectral detection of the platinum-iridium developer rings to be detected; and performs an electrical connectivity test on the platinum-iridium developer rings to be detected, and performs a quality inspection on the platinum-iridium developer rings to be detected again from the performance aspect.

Description

Technical Field

[0001] The present invention belongs to the field of material analysis, and in particular, relates to a real-time quality detection system and method for the production of platinum-iridium developer rings based on big data. Background Art

[0002] Currently, most inspections of platinum-iridium developer rings are conducted on the surface of the platinum-iridium developer rings. However, this cannot cover potential internal defects, especially those hidden inside the developer rings, such as composition problems and performance problems. At the same time, the current direct use of optimized visual inspection and other methods is highly dependent on the operator's experience and skills, which may cause the inspection results to be affected by the operator's subjectivity, resulting in inconsistent inspection standards. Summary of the invention

[0003] In response to the problems in the related technology, the present invention proposes a real-time quality detection system and method for the production of platinum-iridium developer rings based on big data to overcome the above-mentioned technical problems existing in the existing related technology.

[0004] In order to solve the above technical problems, the present invention is achieved through the following technical solutions:

[0005] The present invention is a real-time quality detection method for the production of platinum-iridium developer rings based on big data, comprising the following steps:

[0006] S1. Collect platinum-iridium developing ring samples of multiple historical platinum-iridium developing rings at each production stage and the corresponding mass fraction data of each component to obtain a developing ring sample matrix and a component mass fraction data set matrix; use an initial X-ray fluorescence spectrometry system to perform spectral measurement and analysis on each developing ring sample in the developing ring sample matrix to obtain a component mass fraction detection data set matrix;

[0007] S2. Iteratively optimizing multiple parameters of the initial X-ray fluorescence spectroscopy system according to the component mass fraction data set matrix and the component mass fraction detection data set matrix to obtain a final X-ray fluorescence spectroscopy system;

[0008] S3, using the final X-ray fluorescence spectrometry system to measure the mass fraction data of each component of the platinum-iridium developer ring to be detected at each production stage, to obtain a mass fraction detection data set of the component to be detected; comparing the mass fraction detection data set of the component to be detected with the corresponding component mass fraction standard data, and judging the production quality of the platinum-iridium developer ring to be detected, to obtain a first judgment result;

[0009] S4, performing a resistance test on the platinum-iridium developing ring to be detected and collecting the resistance value to obtain the resistance value to be detected; performing a voltage test on the platinum-iridium developing ring to be detected and collecting the voltage value to obtain the output end voltage value; judging the production quality of the platinum-iridium developing ring to be detected according to the output end voltage value and the resistance value to be detected, to obtain a second judgment result;

[0010] S5, obtaining a final determination result according to the first determination result and the second determination result;

[0011] There are multiple stages in the production process of platinum-iridium developer rings. The intermediate platinum-iridium developer rings obtained after each stage are different, and the mass fraction data of each component in each platinum-iridium developer ring intermediate is also different. If the mass fraction data of each component in the platinum-iridium developer ring intermediate at a certain stage does not meet the requirements, it will directly lead to the final platinum-iridium developer ring finished product not meeting the requirements; therefore, in this scheme, the platinum-iridium developer ring intermediates of each stage are measured and analyzed simultaneously, which improves the efficiency, comprehensiveness and accuracy of the analysis; spectral analysis is required to measure the mass fraction of each component of the platinum-iridium developer ring, therefore, this scheme first collects platinum-iridium developer ring samples and the corresponding mass fraction data of each component at each production stage of multiple historical platinum-iridium developer rings, and then uses the initial X-ray fluorescence spectroscopy system to measure the component mass fraction data of multiple platinum-iridium developer ring samples at each stage, and then compares the measured component mass fraction data with the actual component mass fraction data. By comparing the mass fraction data, the measurement accuracy of the initial X-ray fluorescence spectroscopy system can be analyzed, and then the parameters of the initial X-ray fluorescence spectroscopy system can be reversely adjusted through the accuracy data, so as to obtain the final X-ray fluorescence spectroscopy system; it provides an accurate detection tool for the subsequent spectral detection of the platinum-iridium developer ring to be detected; by measuring the mass fraction data of each component of the platinum-iridium developer ring to be detected at each stage in the production process, a mass fraction detection data set of the component to be detected is obtained; it provides a data basis for the subsequent quality detection of the platinum-iridium developer ring to be detected from the component aspect; and then by performing an electrical connectivity test on the platinum-iridium developer ring to be detected, that is, testing the resistance and whether there is a short circuit on the platinum-iridium developer ring to be detected, the quality of the platinum-iridium developer ring to be detected is again tested from the performance aspect, and finally the final test result is obtained by combining the test results of the composition and performance of the platinum-iridium developer ring to be detected, thereby improving the comprehensiveness and accuracy of the detection.

[0012] Preferably, the S1 comprises the following steps:

[0013] S11, divide the production process of the platinum-iridium developer ring into stages to obtain a production stage set a={a1, a2, ..., a i , ..., a a′}, a irepresents the i-th production stage divided from the production process of platinum-iridium developer rings, and a′ represents the total number of production stages divided from the production process of platinum-iridium developer rings;

[0014] According to the production stage set a={a1, a2, ..., a i , ..., a a′ Collect platinum-iridium developer ring samples and corresponding mass fraction data of each component in each production stage of the production process of multiple historical platinum-iridium developer rings to obtain the developer ring sample matrix and component mass fraction dataset matrix They are as follows:

[0015]

[0016] in, represents a platinum-iridium developer ring sample at the jth production stage in the production process of the i-th historical platinum-iridium developer ring; represents the mass fraction data of platinum and iridium in the platinum-iridium developer ring sample at the jth production stage in the production process of the i-th historical platinum-iridium developer ring; b represents the total number of the selected historical platinum-iridium developer ring production processes;

[0017] S12, setting an initial X-ray fluorescence spectrometry system, using the initial X-ray fluorescence spectrometry system to analyze the developing ring sample matrix Each platinum-iridium developing ring sample in the spectrum detection is performed; after the detection is completed, a spectrum data matrix is ​​obtained; each spectrum data in the spectrum data matrix is ​​analyzed in conjunction with the spectrum database of known substances to obtain a component mass fraction detection data set matrix b′; as follows,

[0018]

[0019] Among them, b′ ij1 , b′ ij2 They respectively represent the mass fraction detection data of platinum and iridium components obtained after spectral detection of the platinum-iridium developer ring sample at the j-th production stage in the production process of the i-th historical platinum-iridium developer ring;

[0020] The production stages mainly include the smelting stage, the hot rolling stage, the cold rolling stage, the drawing stage, the cutting stage and the surface treatment stage; since the platinum-iridium developer ring is mainly composed of two heavy metals, platinum and iridium, other components can be regarded as impurity components, so the mass fraction data of each component include the mass fraction data of platinum and the mass fraction data of iridium; secondly, since the X-ray fluorescence spectrometry system is suitable for spectral detection of heavy metals, the X-ray fluorescence spectrometry system is used in this scheme to perform spectral analysis on the platinum-iridium developer ring.

[0021] Preferably, S2 comprises the following steps:

[0022] S21, setting the initial X-ray fluorescence spectrometer system to the developing ring sample matrix The detection parameters of each platinum-iridium developing ring sample in the spectrum detection are obtained to obtain the initial parameter set Respectively represent the sample matrix of the developing ring The tube voltage data, tube current data and X-ray source to developing ring sample matrix for the platinum in each platinum-iridium developing ring sample during spectral detection The distance data of each platinum-iridium development ring sample in; Respectively represent the sample matrix of the developing ring The tube voltage data, tube current data and X-ray source to development ring sample matrix for iridium in each platinum-iridium development ring sample during spectral detection The distance data of each platinum-iridium development ring sample in;

[0023] S22, according to the component mass fraction data set matrix And the component mass fraction detection data set matrix b′ for the initial parameter set Each parameter in is optimized to obtain the final parameter set e = {(e 11 , e 12 , e 13 ), (e 21 , e 22 , e 23 )},e 11 、e 12 、e 13 、e 21 、e 22 、e 23 Respectively express and Parameters obtained after optimization;

[0024] S23, the final parameter set e={(e 11 , e 12 , e 13 ), (e 21 , e 22 , a 23 )} is applied to the initial X-ray fluorescence spectroscopy system to obtain the final X-ray fluorescence spectroscopy system;

[0025] Since the tube voltage data, tube current data and the distance from the X-ray source to the platinum-iridium developing ring in the X-ray fluorescence spectroscopy system have a great influence on the detection accuracy, this scheme iteratively adjusts the three parameters of the tube voltage data, tube current data and the distance from the X-ray source to the platinum-iridium developing ring in the X-ray fluorescence spectroscopy system to ensure that the X-ray fluorescence spectroscopy system has higher accuracy when performing spectral detection.

[0026] Preferably, the S22 comprises the following steps:

[0027] S221. Building a population of eagles represents the i-th eagle in the eagle population, c represents the size of the eagle population; the maximum number of iterations of the eagle population is set to c′1, the current number of iterations is set to c′2, and the search space dimension is set to 6 dimensions;

[0028] S222: Setting the initial parameter set The value range corresponding to each initial parameter in is obtained to obtain the value range interval set Respectively The lower limit of the value of Respectively The upper limit of the value of; according to the value range interval set, the initial position of each eagle in the eagle population is set to obtain the initial position matrix as follows,

[0029]

[0030] in, They respectively represent the components of the initial position of the i-th eagle in the eagle population in the first dimension, the second dimension, the third dimension, the fourth dimension, the fifth dimension and the sixth dimension; the calculation formulas are as follows,

[0031]

[0032] In the formula, rand i1 、rand i2 、rand i3 、rand i4 、rand i5 、rand i6 For Generated random numbers;

[0033] S223, according to the component mass fraction data set matrix And the component quality score detection data set matrix b′ sets the fitness function of the eagle population as follows,

[0034]

[0035] In the formula, β is a positive number, indicating the correction parameter;

[0036] S224, start the iteration operation; before the iteration, the current iteration number c′2 is set to 1; during each iteration, the fitness function Calculate the fitness value of each eagle in the eagle population to obtain a fitness value set; take the position of the eagle corresponding to the maximum fitness value in the fitness value set as the global optimal position;

[0037] The position of each eagle in the eagle population is updated according to the global optimal position; specifically, the process includes the following steps:

[0038] when When , the eagle population performs a global optimization operation; during the global optimization process, the ith eagle in the eagle population alternately executes the following two position update formulas:

[0039]

[0040]

[0041] In the formula, represent the position of the i-th eagle in the eagle population in the next iteration and the previous iteration respectively; represents the average position of all eagles in the eagle population during the current round of iterations; represents a random number between 0 and 1 generated for the ith eagle in the eagle population during the current round of iteration; levy(c) represents the Levy flight distribution number of c; Indicates the position of a random eagle in the eagle population during the current round of iterations is a subset of [1, 20], is a constant, is a positive number between 1 and c. is a constant,

[0042] when When , the eagle population performs a local optimization operation. During the local optimization process, the i-th eagle in the eagle population performs the following position update formula:

[0043]

[0044] In the formula, All are numbers between 0 and 1;

[0045] After the position update is completed, the current iteration number c′2 is increased by 1, and the next iteration is entered;

[0046] S225. When c′2≥c′1, stop iteration and output the final global optimal position; use the final global optimal position as the final parameter set e={(e 11 , e 12 , e 13 ), (e 21 , e 22 , e 23 )};

[0047] By simulating the different predation strategies of the eagle, the Eagle optimization algorithm can effectively explore and solve complex optimization problems in the search space, and can flexibly apply different search strategies according to the different characteristics of the solution in the search space, and has a strong optimization ability; therefore, in this scheme, the Eagle optimization algorithm is used to iteratively tune multiple parameters of the X-ray fluorescence spectroscopy system, and the accuracy of the X-ray fluorescence spectroscopy system's spectral detection of the platinum-iridium development ring is used as the fitness function, so that a set of optimal parameters can be searched quickly to maximize the accuracy of spectral detection.

[0048] Preferably, S3 comprises the following steps:

[0049] S31, setting the platinum-iridium developing ring to be detected; according to the production stage set a={a1, a2, ..., a i , ..., a a′} Obtain samples of the platinum-iridium developer ring to be tested in each production stage, and obtain a sample set of the developer ring to be tested e′={e′1, e′2, ..., e′ i , ..., e′ a′}, e′ i represents the developing ring sample to be tested obtained after the end of the i-th production stage of the platinum-iridium developing ring to be tested;

[0050] Set the standard value of the mass fraction data of each component of the platinum-iridium developer ring to be tested in each production stage to obtain a standard data set of component mass fractions Respectively represent the standard data of the mass fractions of platinum and iridium in the platinum-iridium developer ring to be detected in the i-th production stage in the production stage set;

[0051] S32, using the final X-ray fluorescence spectrometry system to detect the developing ring sample set e′={e′1, e′2, ..., e′ i , ..., e′ a′}, perform spectral detection on each developer ring sample to be detected; after the detection is completed, obtain a spectral data set; analyze each spectral data in the spectral data matrix in conjunction with a spectral database of known substances to obtain a mass fraction detection data set of the component to be detected They respectively represent component mass fraction detection data of platinum and iridium in the platinum-iridium developing ring to be detected obtained by performing spectral detection on the platinum-iridium developing ring to be detected after the i-th production stage in the production stage set;

[0052] S33, detecting the data set according to the mass fraction of the component to be detected And the component mass fraction standard dataset Determine whether the platinum-iridium developing ring to be tested meets the requirements, and obtain a first determination result;

[0053] By using the final X-ray fluorescence spectrometry system to detect the component mass fraction data of the platinum-iridium developer ring to be tested, it can be determined from the component aspect whether the quality of the platinum-iridium developer ring meets the requirements.

[0054] Preferably, the S33 comprises the following steps:

[0055] S331, set component error degree threshold value set f = {(f 11 , f 12 ), (f 21 , f 22 ),...,(f i1 , f i2 ),...,(f a′1 , f a′2 )},f i1 、f i2 respectively represent the error degree thresholds of the component mass fraction data of platinum and iridium in the platinum-iridium developer ring to be detected in the i-th production stage in the production stage set;

[0056] S332, detecting the mass fraction of the component to be detected as a data set Standard dataset with component mass fraction The difference calculation is performed between them to obtain the component mass fraction difference data set f′={(f′ 11 , f′ 12 ), (f′ 21 , f′ 22 ),...,(f′ i1 , f′ i2 ),...,(f′ a′1 , f′ a′2 )},f′ i1 , f′ i2 Respectively and The degree of error between and The error degree between them; the calculation formulas are as follows,

[0057]

[0058] S333, when f′ i1 ≥f i1 or f′ i2 ≥f i2 When the production quality of the platinum-iridium developer ring to be detected is unqualified, the unqualified production quality is taken as the first judgment result; otherwise, the production quality of the platinum-iridium developer ring to be detected is qualified, and the qualified production quality is taken as the first judgment result;

[0059] By comparing and calculating the spectral detection data with the standard data, a component mass fraction difference data set is obtained, which can directly reflect whether the component mass fraction data of the platinum-iridium developer ring to be detected meets the requirements.

[0060] Preferably, S4 comprises the following steps:

[0061] S41, setting multiple groups of test input ends and test output ends on the platinum-iridium developing ring to be tested to obtain a set of test point pairs. They respectively represent the i-th group of test input terminals and test output terminals set on the platinum-iridium developing ring to be tested;

[0062] S42, sequentially connecting test lines at each test input end and test output end of the test pair; applying a certain voltage to the platinum-iridium developing ring to be tested on the test line at the input end and measuring the resistance value of the platinum-iridium developing ring to be tested with a multimeter, which is recorded as the resistance value to be tested;

[0063] S43, applying a certain voltage to the platinum-iridium developing ring to be tested on the test line at the input end again and connecting a voltmeter to the test line at the output end to obtain the output end voltage value;

[0064] S44, setting a resistance standard value interval [g1, g2], when the resistance value to be detected is greater than or equal to g1 and less than or equal to g2, the resistance value to be detected meets the requirement; otherwise, the resistance value to be detected does not meet the requirement;

[0065] Setting a voltage value threshold; when the output terminal voltage value is less than the voltage value threshold, the output terminal voltage value does not meet the requirement; otherwise, the output terminal voltage value meets the requirement;

[0066] S45, when the output terminal voltage value and the output terminal voltage value both meet the requirements, the qualified production quality is taken as the second determination result; otherwise, the unqualified production quality is taken as the second determination result;

[0067] Due to the special application scenarios of platinum-iridium developer rings, there are certain requirements for the performance of platinum-iridium developer rings. Therefore, in this scheme, an electrical connectivity test is performed on the platinum-iridium developer ring to be tested, that is, the resistance and whether there is a short circuit are tested on the platinum-iridium developer ring to be tested, and the quality of the platinum-iridium developer ring to be tested is tested again from the performance aspect, and whether the platinum-iridium developer ring to be tested meets the requirements is further tested, thereby improving the comprehensiveness of the detection.

[0068] Preferably, S5 includes the following process:

[0069] When both the first determination result and the second determination result are that the production quality is qualified, the qualified production quality is taken as the final determination result; otherwise, the unqualified production quality is taken as the final determination result;

[0070] The first judgment result reflects whether the platinum-iridium developer ring to be tested meets the quality requirements in terms of composition, and the second judgment result reflects whether the platinum-iridium developer ring to be tested meets the quality requirements in terms of performance; therefore, both must be met at the same time. When one of them is not met, the platinum-iridium developer ring to be tested does not meet the quality requirements.

[0071] A real-time quality detection system for the production of platinum-iridium developer rings based on big data, comprising a first mass fraction acquisition module, a first spectrum measurement module, a system optimization module, a second spectrum measurement module, a first quality determination module, a resistance measurement module, a voltage measurement module, a second quality determination module and a final quality determination module;

[0072] The first mass fraction acquisition module is used to collect platinum-iridium developing ring samples and corresponding mass fraction data of each component in each production stage of the production process of multiple historical platinum-iridium developing rings, and obtain a developing ring sample matrix and a component mass fraction data set matrix;

[0073] The first spectrum measurement module is used to perform spectrum measurement and analysis on each developing ring sample in the developing ring sample matrix using an initial X-ray fluorescence spectrum system to obtain a component mass fraction detection data set matrix;

[0074] The system optimization module is used to iteratively optimize multiple parameters of the initial X-ray fluorescence spectroscopy system according to the component mass fraction data set matrix and the component mass fraction detection data set matrix to obtain a final X-ray fluorescence spectroscopy system;

[0075] The second spectrum measurement module is used to measure the mass fraction data of each component of the platinum-iridium developer ring to be detected at each production stage using the final X-ray fluorescence spectrum system to obtain a mass fraction detection data set of the component to be detected;

[0076] The first quality determination module is used to compare the mass fraction detection data set of the component to be detected with the corresponding component mass fraction standard data, and to determine the production quality of the platinum-iridium developer ring to be detected to obtain a first determination result;

[0077] The resistance measurement module is used to perform resistance test on the platinum-iridium developing ring to be detected and collect the resistance value to obtain the resistance value to be detected;

[0078] The voltage measurement module is used to perform a voltage test on the platinum-iridium developing ring to be detected and collect the voltage value to obtain the output terminal voltage value;

[0079] The second quality determination module is used to determine the production quality of the platinum-iridium developing ring to be detected according to the output terminal voltage value and the resistance value to be detected, so as to obtain a second determination result;

[0080] The final quality determination module is used to obtain a final determination result according to the first determination result and the second determination result.

[0081] The present invention has the following beneficial effects:

[0082] 1. In the present invention, the final test result is obtained by testing the composition and performance of the platinum-iridium developer ring to be tested, thereby improving the comprehensiveness and accuracy of the test; the initial X-ray fluorescence spectrum system is used to measure the component mass fraction data of multiple platinum-iridium developer ring samples at each stage, and then the measured component mass fraction data are compared with the actual component mass fraction data, and the measurement accuracy of the initial X-ray fluorescence spectrum system is analyzed, and then the parameters of the initial X-ray fluorescence spectrum system can be reversely adjusted through the accuracy data, thereby providing an accurate detection tool for subsequent spectral detection of the platinum-iridium developer ring to be tested; by measuring the mass fraction data of each component of the platinum-iridium developer ring to be tested at each stage in the production process, a data basis is provided for subsequent quality detection of the platinum-iridium developer ring to be tested from the aspect of composition; and by performing an electrical connectivity test on the platinum-iridium developer ring to be tested, the quality of the platinum-iridium developer ring to be tested is again tested from the aspect of performance.

[0083] 2. In the present invention, the Eagle optimization algorithm is used to iteratively tune multiple parameters of the X-ray fluorescence spectroscopy system, and the accuracy of spectral detection is used as the fitness function, so that a set of optimal parameters can be searched quickly to maximize the accuracy of spectral detection.

[0084] 3. In the present invention, by iteratively adjusting three parameters of the tube voltage data, the tube current data and the distance from the X-ray source to the platinum-iridium developing ring in the X-ray fluorescence spectroscopy system, the X-ray fluorescence spectroscopy system has higher accuracy when performing spectral detection.

[0085] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] In order to more clearly illustrate the technical solutions of the embodiments of the invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the invention. For ordinary technicians in this field, they can also obtain drawings based on these drawings without paying creative work.

[0087] FIG1 is a schematic diagram of the process of quality inspection of platinum-iridium developer rings by a real-time quality inspection system for production of platinum-iridium developer rings based on big data according to the present invention. DETAILED DESCRIPTION

[0088] The following will be combined with the drawings in the embodiments of the invention to clearly and completely describe the technical solutions in the embodiments of the invention. Obviously, the described embodiments are only part of the embodiments of the invention, not all of the embodiments. Based on the embodiments in the invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the invention.

[0089] In the description of the present invention, it is necessary to understand that the terms "opening", "upper", "lower", "top", "middle", "inside" and the like indicating orientation or positional relationship are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the invention.

[0090] Embodiment 1

[0091] This embodiment is a real-time quality detection method for the production of platinum-iridium developer rings based on big data, comprising the following steps:

[0092] S1. Collect platinum-iridium developing ring samples of multiple historical platinum-iridium developing rings at each production stage and the corresponding mass fraction data of each component to obtain a developing ring sample matrix and a component mass fraction data set matrix; use an initial X-ray fluorescence spectrometry system to perform spectral measurement and analysis on each developing ring sample in the developing ring sample matrix to obtain a component mass fraction detection data set matrix;

[0093] The S1 comprises the following steps:

[0094] S11, divide the production process of the platinum-iridium developer ring into stages to obtain a production stage set a={a1, a2, ..., a i , ..., a a′}, a i represents the i-th production stage divided from the production process of platinum-iridium developer rings, and a′ represents the total number of production stages divided from the production process of platinum-iridium developer rings;

[0095] According to the production stage set a={a1, a2, ..., a i , ..., a a′ Collect platinum-iridium developer ring samples and corresponding mass fraction data of each component in each production stage of the production process of multiple historical platinum-iridium developer rings to obtain the developer ring sample matrix and component mass fraction dataset matrix They are as follows:

[0096]

[0097] in, represents a platinum-iridium developer ring sample at the jth production stage in the production process of the i-th historical platinum-iridium developer ring; represents the mass fraction data of platinum and iridium in the platinum-iridium developer ring sample at the jth production stage in the production process of the i-th historical platinum-iridium developer ring; b represents the total number of the selected historical platinum-iridium developer ring production processes;

[0098] S12, setting an initial X-ray fluorescence spectrometry system, using the initial X-ray fluorescence spectrometry system to analyze the developing ring sample matrix Each platinum-iridium developing ring sample in the spectrum detection is performed; after the detection is completed, a spectrum data matrix is ​​obtained; each spectrum data in the spectrum data matrix is ​​analyzed in conjunction with the spectrum database of known substances to obtain a component mass fraction detection data set matrix b′; as follows,

[0099]

[0100] Among them, b′ ij1 , b′ ij2 They respectively represent the mass fraction detection data of platinum and iridium components obtained after spectral detection of the platinum-iridium developer ring sample at the j-th production stage in the production process of the i-th historical platinum-iridium developer ring;

[0101] S2. Iteratively optimizing multiple parameters of the initial X-ray fluorescence spectroscopy system according to the component mass fraction data set matrix and the component mass fraction detection data set matrix to obtain a final X-ray fluorescence spectroscopy system;

[0102] The S2 comprises the following steps:

[0103] S21, setting the initial X-ray fluorescence spectrometer system to the developing ring sample matrix The detection parameters of each platinum-iridium developing ring sample in the spectrum detection are obtained to obtain the initial parameter set Respectively represent the sample matrix of the developing ring The tube voltage data, tube current data and X-ray source to developing ring sample matrix for the platinum in each platinum-iridium developing ring sample during spectral detection The distance data of each platinum-iridium development ring sample in; Respectively represent the sample matrix of the developing ring The tube voltage data, tube current data and X-ray source to development ring sample matrix for iridium in each platinum-iridium development ring sample during spectral detection The distance data of each platinum-iridium development ring sample in;

[0104] S22, according to the component mass fraction data set matrix And the component mass fraction detection data set matrix b′ for the initial parameter set Each parameter in is optimized to obtain the final parameter set e = {(e 11 , e 12 , e 13 ), (e 21 , e 22 , e 23 )},e 11 、e 12 、e 13 、e 21 、e 22 、e 23 Respectively express and Parameters obtained after optimization;

[0105] The S22 comprises the following steps:

[0106] S221. Building a population of eagles represents the i-th eagle in the eagle population, c represents the size of the eagle population; the maximum number of iterations of the eagle population is set to c′1, the current number of iterations is set to c′2, and the search space dimension is set to 6 dimensions;

[0107] S222: Setting the initial parameter set The value range corresponding to each initial parameter in is obtained to obtain the value range interval set Respectively The lower limit of the value of Respectively The upper limit of the value of; according to the value range interval set, the initial position of each eagle in the eagle population is set to obtain the initial position matrix as follows,

[0108]

[0109] in, They respectively represent the components of the initial position of the i-th eagle in the eagle population in the first dimension, the second dimension, the third dimension, the fourth dimension, the fifth dimension and the sixth dimension; the calculation formulas are as follows,

[0110]

[0111] In the formula, rand i1 、rand i2 、rand i3 、rand i4 、rand i5 、rand i6 For Generated random numbers;

[0112] S223, according to the component mass fraction data set matrix And the component quality score detection data set matrix b′ sets the fitness function of the eagle population as follows,

[0113]

[0114] In the formula, β is a positive number, indicating the correction parameter;

[0115] S224, start the iteration operation; before the iteration, the current iteration number c′2 is set to 1; during each iteration, the fitness function Calculate the fitness value of each eagle in the eagle population to obtain a fitness value set; take the position of the eagle corresponding to the maximum fitness value in the fitness value set as the global optimal position;

[0116] The position of each eagle in the eagle population is updated according to the global optimal position; specifically, the process includes the following steps:

[0117] when When , the eagle population performs a global optimization operation; during the global optimization process, the ith eagle in the eagle population alternately executes the following two position update formulas:

[0118]

[0119]

[0120] In the formula, represent the position of the i-th eagle in the eagle population in the next iteration and the previous iteration respectively; represents the average position of all eagles in the eagle population during the current round of iterations; represents a random number between 0 and 1 generated for the ith eagle in the eagle population during the current round of iteration; levy(c) represents the Levy flight distribution number of c; Indicates the position of a random eagle in the eagle population during the current round of iterations is a subset of [1, 20], is a constant, is a positive number between 1 and c. is a constant,

[0121] when When , the eagle population performs a local optimization operation. During the local optimization process, the i-th eagle in the eagle population performs the following position update formula:

[0122]

[0123] In the formula, All are numbers between 0 and 1;

[0124] After the position update is completed, the current iteration number c′2 is increased by 1, and the next iteration is entered;

[0125] S225. When c′2≥c′1, stop iteration and output the final global optimal position; use the final global optimal position as the final parameter set e={(e 11 , e 12 , e 13 ), (e 21 , e 22 , e 23 )};

[0126] S23, the final parameter set e={(e 11 , e 12 , e 13 ), (e 21 , e 22 , e 23 )} is applied to the initial X-ray fluorescence spectroscopy system,

[0127] The final X-ray fluorescence spectroscopy system is obtained;

[0128] S3, using the final X-ray fluorescence spectrometry system to measure the mass fraction data of each component of the platinum-iridium developer ring to be detected at each production stage, to obtain a mass fraction detection data set of the component to be detected; comparing the mass fraction detection data set of the component to be detected with the corresponding component mass fraction standard data, and judging the production quality of the platinum-iridium developer ring to be detected, to obtain a first judgment result;

[0129] The S3 comprises the following steps:

[0130] S31, setting the platinum-iridium developing ring to be detected; according to the production stage set a={a1, a2, ..., a i , ..., a a′} Obtain samples of the platinum-iridium developer ring to be tested in each production stage, and obtain a sample set of the developer ring to be tested e′={e′1, e′2, ..., e′ i , ..., e′ a′}, e′ i represents the developing ring sample to be tested obtained after the end of the i-th production stage of the platinum-iridium developing ring to be tested;

[0131] Set the standard value of the mass fraction data of each component of the platinum-iridium developer ring to be tested in each production stage to obtain a standard data set of component mass fractions Respectively represent the standard data of the mass fractions of platinum and iridium in the platinum-iridium developer ring to be detected in the i-th production stage in the production stage set;

[0132] S32, using the final X-ray fluorescence spectrometry system to detect the developing ring sample set e′={e′1, e′2, ..., e′ i , ..., e′ a′}, perform spectral detection on each developer ring sample to be detected; after the detection is completed, obtain a spectral data set; analyze each spectral data in the spectral data matrix in conjunction with a spectral database of known substances to obtain a mass fraction detection data set of the component to be detected They respectively represent component mass fraction detection data of platinum and iridium in the platinum-iridium developing ring to be detected obtained by performing spectral detection on the platinum-iridium developing ring to be detected after the i-th production stage in the production stage set;

[0133] S33, detecting the data set according to the mass fraction of the component to be detected And the component mass fraction standard dataset Determine whether the platinum-iridium developing ring to be tested meets the requirements, and obtain a first determination result;

[0134] The S33 comprises the following steps:

[0135] S331, set component error degree threshold value set f = {(f 11 , f 12 ), (f 21 , f 22 ),...,(f i1 , f i2 ),...,(f a′1 , f a′2 )},f i1 、f i2 respectively represent the error degree thresholds of the component mass fraction data of platinum and iridium in the platinum-iridium developer ring to be detected in the i-th production stage in the production stage set;

[0136] S332, detecting the mass fraction of the component to be detected as a data set Standard dataset with component mass fraction The difference calculation is performed between them to obtain the component mass fraction difference data set f′={(f′ 11 , f′ 12 ), (f′ 21 , f′ 22 ),...,(f′ i1 , f′ i2 ),...,(f′ a′1 , f′ a′2 )},f′ i1 , f′ i2 Respectively and The degree of error between and The error degree between them; the calculation formulas are as follows,

[0137]

[0138] S333, when f′ i1 ≥f i1 or f′ i2 ≥f i2 When the production quality of the platinum-iridium developer ring to be detected is unqualified, the unqualified production quality is taken as the first judgment result; otherwise, the production quality of the platinum-iridium developer ring to be detected is qualified, and the qualified production quality is taken as the first judgment result;

[0139] S4, performing a resistance test on the platinum-iridium developing ring to be detected and collecting the resistance value to obtain the resistance value to be detected; performing a voltage test on the platinum-iridium developing ring to be detected and collecting the voltage value to obtain the output end voltage value; judging the production quality of the platinum-iridium developing ring to be detected according to the output end voltage value and the resistance value to be detected, to obtain a second judgment result;

[0140] The S4 comprises the following steps:

[0141] S41, setting multiple groups of test input ends and test output ends on the platinum-iridium developing ring to be tested to obtain a set of test point pairs. They respectively represent the i-th group of test input terminals and test output terminals set on the platinum-iridium developing ring to be tested;

[0142] S42, sequentially connecting test lines at each test input end and test output end of the test pair; applying a certain voltage to the platinum-iridium developing ring to be tested on the test line at the input end and measuring the resistance value of the platinum-iridium developing ring to be tested with a multimeter, which is recorded as the resistance value to be tested;

[0143] S43, applying a certain voltage to the platinum-iridium developing ring to be tested on the test line at the input end again and connecting a voltmeter to the test line at the output end to obtain the output end voltage value;

[0144] S44, setting a resistance standard value interval [g1, g2], when the resistance value to be detected is greater than or equal to g1 and less than or equal to g2, the resistance value to be detected meets the requirement; otherwise, the resistance value to be detected does not meet the requirement;

[0145] Setting a voltage value threshold; when the output terminal voltage value is less than the voltage value threshold, the output terminal voltage value does not meet the requirement; otherwise, the output terminal voltage value meets the requirement;

[0146] S45, when the output terminal voltage value and the output terminal voltage value both meet the requirements, the qualified production quality is taken as the second determination result; otherwise, the unqualified production quality is taken as the second determination result;

[0147] S5, obtaining a final determination result according to the first determination result and the second determination result;

[0148] The S5 includes the following processes:

[0149] When both the first determination result and the second determination result are that the production quality is qualified, the qualified production quality is taken as the final determination result; otherwise, the unqualified production quality is taken as the final determination result.

[0150] Embodiment 2

[0151] This embodiment discloses a real-time quality detection system for the production of platinum-iridium developer rings based on big data, and the system can implement the method of the above embodiment, including a first mass fraction acquisition module, a first spectrum measurement module, a system optimization module, a second spectrum measurement module, a first quality determination module, a resistance measurement module, a voltage measurement module, a second quality determination module and a final quality determination module;

[0152] The first mass fraction acquisition module is used to collect platinum-iridium developing ring samples and corresponding mass fraction data of each component in each production stage of the production process of multiple historical platinum-iridium developing rings, and obtain a developing ring sample matrix and a component mass fraction data set matrix;

[0153] The first spectrum measurement module is used to perform spectrum measurement and analysis on each developing ring sample in the developing ring sample matrix using an initial X-ray fluorescence spectrum system to obtain a component mass fraction detection data set matrix;

[0154] The system optimization module is used to iteratively optimize multiple parameters of the initial X-ray fluorescence spectroscopy system according to the component mass fraction data set matrix and the component mass fraction detection data set matrix to obtain a final X-ray fluorescence spectroscopy system;

[0155] The second spectrum measurement module is used to measure the mass fraction data of each component of the platinum-iridium developer ring to be detected at each production stage using the final X-ray fluorescence spectrum system to obtain a mass fraction detection data set of the component to be detected;

[0156] The first quality determination module is used to compare the mass fraction detection data set of the component to be detected with the corresponding component mass fraction standard data, and to determine the production quality of the platinum-iridium developer ring to be detected to obtain a first determination result;

[0157] The resistance measurement module is used to perform resistance test on the platinum-iridium developing ring to be detected and collect the resistance value to obtain the resistance value to be detected;

[0158] The voltage measurement module is used to perform a voltage test on the platinum-iridium developing ring to be detected and collect the voltage value to obtain the output terminal voltage value;

[0159] The second quality determination module is used to determine the production quality of the platinum-iridium developing ring to be detected according to the output terminal voltage value and the resistance value to be detected, so as to obtain a second determination result;

[0160] The final quality determination module is used to obtain a final determination result according to the first determination result and the second determination result.

[0161] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0162] The preferred embodiments of the invention disclosed above are only used to help explain the invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the invention, so that those skilled in the art can understand and use the invention well.

Claims

1. A real-time quality detection method for the production of platinum-iridium developer rings based on big data, characterized in that: The following steps are involved: S1. Collect platinum-iridium developing ring samples and corresponding mass fraction data of each component of multiple historical platinum-iridium developing rings at each production stage to obtain a developing ring sample matrix and a component mass fraction data set matrix; The initial X-ray fluorescence spectrometer system is used to measure and analyze the spectrum of each developing ring sample in the developing ring sample matrix to obtain a component mass fraction detection data set matrix; S2. Iteratively optimizing multiple parameters of the initial X-ray fluorescence spectroscopy system according to the component mass fraction data set matrix and the component mass fraction detection data set matrix to obtain a final X-ray fluorescence spectroscopy system; The S2 comprises the following steps: S21, setting detection parameters of the initial X-ray fluorescence spectrometry system for spectral detection of each platinum-iridium developing ring sample in the developing ring sample matrix to obtain an initial parameter set; S22, optimizing each parameter in the initial parameter set according to the component mass fraction data set matrix and the component mass fraction detection data set matrix to obtain a final parameter set; The S22 comprises the following steps: S221, constructing a population of eagles; setting the maximum number of iterations of the population of eagles to , the current number of iterations is And the search space dimension is 6 dimensions; S222, setting the value range corresponding to each initial parameter in the initial parameter set to obtain a value range interval set; setting the initial position of each eagle in the eagle population according to the value range interval set to obtain an initial position matrix; S223, setting the fitness function of the eagle population according to the component mass fraction data set matrix and the component mass fraction detection data set matrix; S224, start the iteration operation; before the iteration, the current number of iterations is Set to 1; in each round of iteration, the fitness value of each eagle in the eagle population is calculated according to the fitness function to obtain a fitness value set; the position of the eagle corresponding to the maximum fitness value in the fitness value set is taken as the global optimal position; the position of each eagle in the eagle population is updated according to the global optimal position; specifically, the following process is included: when When , the eagle population performs a global optimization operation; when When the position update is completed, the current number of iterations is Add 1 and enter the next iteration; S225, when When , the iteration is stopped and the final global optimal position is output; the final global optimal position is used as the final parameter set; S23, applying the final parameter set to the initial X-ray fluorescence spectroscopy system to obtain a final X-ray fluorescence spectroscopy system; S3, using the final X-ray fluorescence spectrometry system to measure the mass fraction data of each component of the platinum-iridium developer ring to be detected at each production stage, to obtain a mass fraction detection data set of the component to be detected; comparing the mass fraction detection data set of the component to be detected with the corresponding component mass fraction standard data, and judging the production quality of the platinum-iridium developer ring to be detected, to obtain a first judgment result; S4, performing a resistance test on the platinum-iridium developing ring to be detected and collecting the resistance value to obtain the resistance value to be detected; performing a voltage test on the platinum-iridium developing ring to be detected and collecting the voltage value to obtain the output end voltage value; judging the production quality of the platinum-iridium developing ring to be detected according to the output end voltage value and the resistance value to be detected, to obtain a second judgment result; S5. Obtain a final determination result according to the first determination result and the second determination result.

2. The real-time quality detection method for the production of platinum-iridium developer rings based on big data according to claim 1 is characterized in that: The S1 comprises the following steps: S11, dividing the production process of the platinum-iridium developer ring into stages to obtain a production stage set; collecting platinum-iridium developer ring samples and corresponding mass fraction data of each component in each production stage of the production process of multiple historical platinum-iridium developer rings according to the production stage set, to obtain a developer ring sample matrix and a component mass fraction data set matrix; S12, setting an initial X-ray fluorescence spectroscopy system; using the initial X-ray fluorescence spectroscopy system to perform spectral detection on each platinum-iridium developing ring sample in the developing ring sample matrix; after the detection is completed, a spectral data matrix is ​​obtained; each spectral data in the spectral data matrix is ​​analyzed in conjunction with a spectral database of known substances to obtain a component mass fraction detection data set matrix.

3. The real-time quality detection method for the production of platinum-iridium developer rings based on big data according to claim 2 is characterized in that: The S3 comprises the following steps: S31, setting a platinum-iridium developer ring to be tested; obtaining samples of the platinum-iridium developer ring to be tested in each production stage according to the production stage set, to obtain a sample set of the developer ring to be tested; setting a standard value of the mass fraction data of each component of the platinum-iridium developer ring to be tested in each production stage, to obtain a standard data set of component mass fractions; S32, using the final X-ray fluorescence spectrometry system to perform spectral detection on each of the developer ring samples to be detected in the developer ring sample set to be detected; after the detection is completed, a spectral data set is obtained; and each spectral data in the spectral data matrix is ​​analyzed in conjunction with a spectral database of known substances to obtain a mass fraction detection data set of the components to be detected; S33, judging whether the platinum-iridium developer ring to be detected meets the requirements according to the mass fraction detection data set of the component to be detected and the mass fraction standard data set of the component to be detected, and obtaining a first judgment result.

4. The real-time quality detection method for the production of platinum-iridium developer rings based on big data according to claim 3 is characterized in that: The S33 comprises the following steps: S331, setting a component error degree threshold set; S332, performing difference calculation between the component mass fraction detection data set to be detected and the component mass fraction standard data set to obtain a component mass fraction difference data set; S333. When the component mass fraction difference data in the component mass fraction difference data set is greater than or equal to the corresponding component error degree threshold in the component error degree threshold set, the production quality of the platinum-iridium developer ring to be tested is unqualified, and the unqualified production quality is taken as the first judgment result; otherwise, the production quality of the platinum-iridium developer ring to be tested is qualified, and the qualified production quality is taken as the first judgment result.

5. The real-time quality detection method for the production of platinum-iridium developer rings based on big data according to claim 4 is characterized in that: The S4 comprises the following steps: S41, setting a plurality of groups of test input ends and test output ends on the platinum-iridium developing ring to be tested to obtain a set of test point pairs; S42, sequentially connecting a test line at each group of test input terminals and test output terminals in the test point pair set; applying a certain voltage to the platinum-iridium developing ring to be tested on the test line at the input terminal and measuring the resistance value of the platinum-iridium developing ring to be tested with a multimeter, which is recorded as the resistance value to be tested; S43, applying a certain voltage to the platinum-iridium developing ring to be tested on the test line at the input end again and connecting a voltmeter to the test line at the output end to obtain the output end voltage value; S44, set the resistance standard value range , when the resistance value to be detected is greater than or equal to and less than or equal to , then the resistance value to be detected meets the requirement; otherwise, the resistance value to be detected does not meet the requirement; Setting a voltage value threshold; when the output terminal voltage value is less than the voltage value threshold, the output terminal voltage value does not meet the requirement; otherwise, the output terminal voltage value meets the requirement; S45. When the output terminal voltage value and the output terminal voltage value both meet the requirements, the qualified production quality is taken as the second judgment result; otherwise, the unqualified production quality is taken as the second judgment result.

6. The real-time quality detection method for the production of platinum-iridium developer rings based on big data according to claim 5 is characterized in that: The S5 includes the following processes: When both the first determination result and the second determination result are that the production quality is qualified, the qualified production quality is taken as the final determination result; Otherwise, the final judgment result will be that the production quality is unqualified.

7. A system for implementing the real-time quality detection method for the production of platinum-iridium developer rings based on big data as described in any one of claims 1 to 6.

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