Method for rapidly detecting residual content of organic matters in potassium bromide based on artificial intelligence

Abstract

The invention belongs to the technical field of potassium bromide organic matter residue content rapid detection, and relates to a potassium bromide organic matter residue content rapid detection method based on artificial intelligence. According to the method, the target potassium bromide detection sample of each detection method is prepared according to requirements, the organic matter residue data of the target potassium bromide detection sample of each detection method is detected and obtained, and the sample is prepared according to the characteristics and requirements of different detection methods, so that the stability and consistency of the sample in the detection process are ensured; by selecting a proper detection method, the organic matter residues in the potassium bromide sample are more effectively detected, the detection accuracy and reliability are improved, and by analyzing the detection process coincidence condition of the target potassium bromide detection sample to which various detection methods belong, the detection accuracy and reliability are improved. Misjudgment or missed judgment in the whole detection process caused by factors such as misoperation, instrument errors or improper sample treatment is avoided, and the accuracy and the reliability of a detection result are ensured.

Description

Technical Field

[0001] The invention belongs to the technical field of rapid detection of organic matter residual content of potassium bromide, and relates to a rapid detection method of organic matter residual content of potassium bromide based on artificial intelligence. Background Art

[0002] As an important chemical substance, potassium bromide is widely used in many fields, such as pharmaceuticals, chemicals, dyes, etc. In these fields, potassium bromide is usually used as a raw material or auxiliary material, and its residue has an important impact on the quality and safety of the product. By detecting the residual content of potassium bromide organic matter, it can be ensured that the potassium bromide content in the product meets the relevant standards and requirements, thereby ensuring the quality and safety of the product. This is of great significance for safeguarding consumer rights and enhancing corporate reputation and brand image. Therefore, the detection and analysis system for the residual content of potassium bromide organic matter is of great significance and role.

[0003] In the prior art, there are also some related solutions involving chemical substance detection, for example, a method for detecting hexavalent chromium in organic packaging with a Chinese patent publication number of CN117269155A, which provides an organic packaging detection solution and a gold nano growth solution, wherein the gold nano growth solution is obtained by a seed growth method. BSA, CTAB, hydrochloric acid and potassium bromide are sequentially added to the gold nano growth solution to obtain a hexavalent chromium test solution. The organic packaging detection solution is added to the test solution for reaction, and the hexavalent chromium is detected by the color change after the reaction or by an ultraviolet spectrophotometer. By using double protective agents bovine serum albumin and hexadecyltrimethylammonium bromide, the salt and acid resistance of gold nanoparticles is ensured, and the agglomeration phenomenon of gold nanoparticles caused by the solution detection environment and salt concentration after actual sample pre-treatment is greatly improved, thereby obtaining a better detection effect.

[0004] Although the above scheme proposes some solutions for the detection of chemical substances, it still has certain limitations: on the one hand, the existing scheme mainly detects and analyzes chemical substances through a single method, thereby ignoring the detection scope and applicable limits of various organic substances in the potassium bromide mixture, which in turn leads to errors caused by the detection of a single method, and it is impossible to detect the residual content of various organic substances in the potassium bromide mixture more effectively and accurately.

[0005] On the other hand, existing solutions lack real-time detection and analysis of the entire process when conducting chemical substance detection, and thus cannot promptly detect problems such as improper operation, instrument errors, or improper sample handling, and cannot promptly avoid misjudgments or missed judgments caused by them throughout the detection process, and cannot ensure the accuracy and reliability of the test results. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a rapid detection method for the residual organic matter content of potassium bromide based on artificial intelligence is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a rapid detection method for the residual organic matter content of potassium bromide based on artificial intelligence, including: S1, potassium bromide sample acquisition: the potassium bromide sample to be detected is recorded as the target potassium bromide sample, and it is further divided into target potassium bromide samples belonging to each detection method according to the detection method, wherein the detection method includes a first detection method, a second detection method, a third detection method and a fourth detection method.

[0008] S2. Potassium bromide sample detection: Prepare the target potassium bromide samples of each detection method according to the requirements, obtain the target potassium bromide detection samples of each detection method, and detect them to obtain the organic residue data of the target potassium bromide detection samples of each detection method.

[0009] The content of S2 includes: S2-1, detection process data acquisition: acquiring the detection process data of the target potassium bromide detection sample belonging to each detection method.

[0010] S2-2. Detection process data analysis: Analyze the detection process compliance of the target potassium bromide detection samples belonging to each detection method.

[0011] S2-3. Acquisition of organic residue data: Acquisition of organic residue data of target potassium bromide test samples of each test method.

[0012] S3. Potassium bromide sample analysis: Analyze the target potassium bromide mixture to determine the residual content of various organic substances in various standard samples.

[0013] S4. Analysis of organic matter residue content in potassium bromide: Analyze the various organic matter residues in the target potassium bromide mixture and provide feedback.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention prepares the target potassium bromide samples of each detection method according to the needs, obtains the target potassium bromide detection samples of each detection method, and detects them to obtain the organic residue data of the target potassium bromide detection samples of each detection method. The sample preparation is carried out according to the characteristics and requirements of different detection methods, thereby ensuring the stability and consistency of the sample during the detection process. Each detection method has its specific scope of application and detection limit. By selecting a suitable detection method, the organic residue in the potassium bromide sample can be more effectively detected, and the accuracy and reliability of the detection can be improved.

[0015] 2. The present invention obtains the detection process data of the target potassium bromide detection samples belonging to various detection methods, analyzes the detection process compliance of the target potassium bromide detection samples belonging to various detection methods, helps to avoid misjudgment or missed judgment in the entire detection process due to improper operation, instrument error or improper sample handling, and ensures the accuracy and reliability of the detection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram for implementing the method steps of the present invention.

[0018] Figure 2 It is a schematic diagram of the implementation process of the steps of the present invention.

[0019] Figure 3 It is a schematic diagram of the detection process of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention provides a rapid detection method for the residual organic matter content of potassium bromide based on artificial intelligence, and the specific steps are as follows: S1, potassium bromide sample acquisition: the potassium bromide sample to be detected is recorded as a target potassium bromide sample, and it is further divided into target potassium bromide samples belonging to each detection method according to the detection method, wherein the detection method includes a first detection method, a second detection method, a third detection method and a fourth detection method.

[0022] It should be noted that the schematic diagram of the step implementation process is as follows Figure 2 shown.

[0023] In a specific feasibility example, the first type of detection method includes but is not limited to infrared spectroscopy. The second type of detection method includes but is not limited to thermogravimetric analysis. The third type of detection method includes but is not limited to ultraviolet visible light photometry. The fourth type of detection method includes but is not limited to gas chromatography.

[0024] As a preferred feasible embodiment, the specific content of dividing the target potassium bromide samples belonging to each detection method according to the detection method includes: obtaining the number of detection methods, dividing the target potassium bromide sample equally by mass according to the number of detection methods, and then recording each equal portion of the target potassium bromide sample as the target potassium bromide sample belonging to each detection method.

[0025] S2. Potassium bromide sample detection: Prepare the target potassium bromide samples of each detection method according to the requirements, obtain the target potassium bromide detection samples of each detection method, and detect them to obtain the organic residue data of the target potassium bromide detection samples of each detection method.

[0026] It should be noted that the detection process diagram is as follows Figure 3 shown.

[0027] As a preferred feasible embodiment, the organic matter residue data of the target potassium bromide detection sample of the type of detection method includes an infrared spectrum.

[0028] The organic matter residue data of the target potassium bromide detection sample belonging to the second type of detection method includes a thermogravimetric curve.

[0029] The organic matter residue data of the target potassium bromide detection samples belonging to the three types of detection methods include the concentrations of various organic matters corresponding to the standard solutions.

[0030] The organic matter residue data of the target potassium bromide detection samples belonging to the four types of detection methods include chromatograms.

[0031] It needs to be further explained that the infrared spectrum, thermogravimetric curve, standard solution corresponding to each type of organic matter concentration and chromatogram are obtained by the first detection method, the second detection method, the third detection method and the fourth detection method respectively on the corresponding target potassium bromide detection sample.

[0032] The invention prepares a target potassium bromide sample belonging to each detection method according to requirements, obtains the target potassium bromide detection sample belonging to each detection method, detects the target potassium bromide detection sample, obtains organic residue data of the target potassium bromide detection sample belonging to each detection method, and prepares the sample according to the characteristics and requirements of different detection methods, thereby ensuring the stability and consistency of the sample during the detection process. Each detection method has its specific application range and detection limit. By selecting a suitable detection method, the organic residue in the potassium bromide sample can be more effectively detected, and the accuracy and reliability of the detection can be improved.

[0033] The content of S2 includes: S2-1, detection process data acquisition: acquiring the detection process data of the target potassium bromide detection sample belonging to each detection method.

[0034] As a preferred feasible embodiment, the detection process data of the target potassium bromide detection samples belonging to each type of detection method includes the detection process data of the target potassium bromide detection samples belonging to the first type, the second type, the third type and the fourth type of detection methods.

[0035] Among them, the detection process data of the target potassium bromide detection sample belonging to the first type of detection method includes sample powder fineness, sample mixing uniformity and baseline flatness.

[0036] It should be further explained that the specific method for obtaining the powder fineness of the target potassium bromide detection sample of the first detection method is: a photoelectron microscope is deployed to take a particle image of the target potassium bromide detection sample of the first detection method, and the image processing software is used to analyze the particle image to obtain the particle size of each particle in the particle image of the target potassium bromide detection sample of the first detection method. ,in , is the number of each particle, The number of particles is used to analyze the powder fineness of the target potassium bromide test sample of a type of test method. ,in It is the allowable deviation value of the set particle size.

[0037] The specific method for obtaining the sample mixing uniformity of the target potassium bromide detection sample of the first detection method is as follows: the target potassium bromide detection sample of the first detection method is tiled, and further photographed by a high-definition camera to obtain an image of the target potassium bromide detection sample of the first detection method, and grayscale processing is performed on the image to obtain the grayscale value of each pixel point corresponding to the grayscale image of the target potassium bromide detection sample of the first detection method. ,in , is the number of each pixel, is the number of pixels, and the sample mixing uniformity of the target potassium bromide detection sample belonging to a type of detection method is analyzed. ,in The allowed gray value deviation is set.

[0038] The specific method for obtaining the baseline flatness of the target potassium bromide detection sample belonging to the type of detection method is: using image analysis software to analyze the infrared spectrum of the target potassium bromide detection sample belonging to the type of detection method, to obtain the smooth segment length of the baseline in the infrared spectrum of the target potassium bromide detection sample belonging to the type of detection method, and further divide it with the full segment length of the baseline in the infrared spectrum of the target potassium bromide detection sample belonging to the type of detection method, and the obtained quotient is recorded as the baseline flatness of the target potassium bromide detection sample belonging to the type of detection method.

[0039] The detection process data of the target potassium bromide detection sample belonging to the second type of detection method includes sample paving uniformity, heating rate and maximum temperature.

[0040] It needs to be further explained that the specific method for obtaining the sample tiling uniformity of the target potassium bromide detection sample of the second type of detection method is: dividing the surface of the target potassium bromide detection sample of the second type of detection method into a flat grid form, and then obtaining the intersection points of the surface plane grid of the target potassium bromide detection sample of the second type of detection method, detecting it with a laser rangefinder, and obtaining the layer thickness of each intersection point of the surface plane grid of the target potassium bromide detection sample of the second type of detection method, comparing them, and obtaining the surface plane grid of the target potassium bromide detection sample of the second type of detection method with inconsistent layer thickness intersection points, and counting their number. If it is greater than the set allowed number, the sample tiling uniformity of the target potassium bromide detection sample of the second type of detection method is recorded as uneven; otherwise, the sample tiling uniformity of the target potassium bromide detection sample of the second type of detection method is recorded as uniform.

[0041] The specific method for obtaining the heating rate and maximum temperature of the target potassium bromide detection sample of the second detection method is: using the arranged temperature sensor to detect and record the target potassium bromide detection sample of the second detection method during the detection process, and obtaining the temperature and time point of each detection of the target potassium bromide detection sample of the second detection method, which are respectively recorded as ,in , is the number of each test, The number of tests is used to analyze the heating rate of the target potassium bromide test sample of the second type of test method. ,in They are the target potassium bromide test samples of the second type of detection method. The temperature and time point of the test.

[0042] The maximum temperature of the target potassium bromide detection sample belonging to the second type of detection method is obtained by screening out the temperatures of each detection of the target potassium bromide detection sample belonging to the second type of detection method.

[0043] The detection process data of the target potassium bromide detection samples belonging to the three types of detection methods include the color compliance of the sample solution, the stability of the light source and the stability of the detector.

[0044] It should be further explained that the specific method for obtaining the color compliance of the sample solution of the target potassium bromide detection sample of the three types of detection methods is: taking pictures of the target potassium bromide detection samples of the three types of detection methods, and graying them, and then obtaining the grayscale values ​​corresponding to the grayscale pictures of the target potassium bromide detection samples of the three types of detection methods. , analyze the color compliance of the sample solutions of the target potassium bromide test samples of the three types of test methods ,in The grayscale images of the target potassium bromide detection samples of the three detection methods extracted from the database correspond to the standard grayscale values. It is the allowable difference between the set gray value and the standard gray value.

[0045] The specific method for obtaining the light source stability and detector stability of the target potassium bromide detection samples of the three detection methods is as follows: using the deployed power meter to measure the light source output power and detector output power of the target potassium bromide detection samples of the three detection methods in real time during the detection process, and obtaining the light source output power and detector output power of the target potassium bromide detection samples of the three detection methods during the detection process, which are recorded as ,in , is the number of each measurement, The number of measurements is used to analyze the light source stability of the target potassium bromide detection samples of the three detection methods. ,in Analyze the detector stability of the target potassium bromide detection samples of the three detection methods for the set allowable deviation value of the light source output power ,in It is the permissible deviation value of the set detector output power.

[0046] The detection process data of the target potassium bromide detection samples belonging to the four types of detection methods include the color compliance of the sample solution and the injection port temperature, column oven temperature, detector temperature and carrier gas flow rate.

[0047] It needs to be further explained that the specific method for obtaining the color compliance of the sample solution of the target potassium bromide detection sample belonging to the four types of detection methods is: the specific method for obtaining the color compliance of the sample solution of the target potassium bromide detection sample belonging to the three types of detection methods can obtain the color compliance of the sample solution of the target potassium bromide detection sample belonging to the four types of detection methods.

[0048] The specific method for obtaining the injection port temperature, column oven temperature, detector temperature and carrier gas flow rate of the target potassium bromide detection samples belonging to the four types of detection methods is: using the arranged temperature sensors and flow meters to measure the injection port temperature, column oven temperature, detector temperature and carrier gas flow rate of the target potassium bromide detection samples belonging to the four types of detection methods.

[0049] S2-2. Detection process data analysis: Analyze the detection process compliance of the target potassium bromide detection samples belonging to each detection method.

[0050] As a preferred feasible embodiment, the detection process compliance analysis of the target potassium bromide detection sample belonging to the first detection method needs to analyze the sample preparation process compliance and sample detection process compliance of the target potassium bromide detection sample belonging to the first detection method. The specific analysis method is: extract the sample powder fineness and sample mixing uniformity of the target potassium bromide detection sample belonging to the first detection method, and record them as , analyze the compliance of the sample preparation process of the target potassium bromide detection sample belonging to a type of detection method ,in They are respectively the sample powder fineness threshold and sample mixing uniformity threshold of the target potassium bromide detection sample belonging to a type of detection method extracted from the database. If the sample preparation process compliance of the target potassium bromide detection sample belonging to a type of detection method is 0, it means that the sample preparation process compliance of the target potassium bromide detection sample belonging to the type of detection method is non-compliant; if the sample preparation process compliance of the target potassium bromide detection sample belonging to the type of detection method is 1, it means that the sample preparation process compliance of the target potassium bromide detection sample belonging to the type of detection method is compliant.

[0051] The baseline flatness of the target potassium bromide detection sample belonging to a type of detection method is extracted, and the baseline flatness is compared with the baseline flatness threshold stored in the database. If the baseline flatness of the target potassium bromide detection sample belonging to the type of detection method is greater than the baseline flatness threshold, it means that the sample detection process of the target potassium bromide detection sample belonging to the type of detection method is in compliance; otherwise, it means that the sample detection process of the target potassium bromide detection sample belonging to the type of detection method is in compliance.

[0052] As a preferred feasible embodiment, the specific analysis method of the compliance of the detection process of the target potassium bromide detection sample belonging to a type of detection method is: if the sample preparation process compliance and the sample detection process compliance of the target potassium bromide detection sample belonging to a type of detection method are both compliant, then the compliance of the detection process of the target potassium bromide detection sample belonging to the type of detection method is recorded as compliant; otherwise, the compliance of the detection process of the target potassium bromide detection sample belonging to the type of detection method is recorded as non-compliant, and the reason for the non-compliance is fed back.

[0053] As a preferred feasible embodiment, the detection process of the target potassium bromide detection sample belonging to the second category detection method is in compliance, and its specific analysis method is: extract the sample tiling uniformity of the target potassium bromide detection sample belonging to the second category detection method, if it is uniform, then the compliance of the sample preparation process of the target potassium bromide detection sample belonging to the second category detection method is recorded as compliance, otherwise, the compliance of the sample preparation process of the target potassium bromide detection sample belonging to the second category detection method is recorded as non-compliance.

[0054] The heating rate and maximum temperature of the target potassium bromide detection sample belonging to the second type of detection method are extracted, and the compliance of the sample detection process of the target potassium bromide detection sample belonging to the second type of detection method is analyzed based on this.

[0055] It is necessary to further explain that the specific analysis content of the sample detection process of the target potassium bromide detection sample belonging to the second type of detection method is as follows: according to the analysis formula Obtain the sample test process compliance of the target potassium bromide test sample belonging to the second category test method ,in are the heating rate and maximum temperature of the target potassium bromide test sample of the second type of detection method, respectively. are the standard heating rate and maximum temperature threshold of the target potassium bromide detection sample of the second type detection method extracted from the database, are the allowable difference between the set heating rate and the standard heating rate, and the allowable difference between the maximum temperature and the maximum temperature threshold. is an arbitrary constant greater than 1, and the sample detection process compliance of the target potassium bromide detection sample belonging to the second detection method is compared with the set sample detection process compliance threshold of the second detection method. If the sample detection process compliance of the target potassium bromide detection sample belonging to the second detection method is greater than the sample detection process compliance threshold of the second detection method, the sample detection process compliance of the target potassium bromide detection sample belonging to the second detection method is recorded as compliance; otherwise, the sample detection process compliance of the target potassium bromide detection sample belonging to the second detection method is recorded as non-compliance.

[0056] In a specific embodiment, Take 2.

[0057] The method for obtaining the compliance status of the detection process of the target potassium bromide detection sample belonging to the same type of detection method can obtain the compliance status of the detection process of the target potassium bromide detection sample belonging to the second type of detection method.

[0058] As a preferred feasible embodiment, the specific analysis method of the compliance of the detection process of the target potassium bromide detection samples belonging to the three types of detection methods is: extract the color compliance of the sample solution of the target potassium bromide detection samples belonging to the three types of detection methods, and compare it with the sample solution color compliance threshold stored in the database; if the color compliance of the sample solution of the target potassium bromide detection samples belonging to the three types of detection methods is greater than the sample solution color compliance threshold, then the compliance of the sample preparation process of the target potassium bromide detection samples belonging to the three types of detection methods is recorded as compliance; otherwise, the compliance of the sample preparation process of the target potassium bromide detection samples belonging to the three types of detection methods is recorded as non-compliance.

[0059] The light source stability and detector stability of the target potassium bromide detection samples belonging to the three types of detection methods were extracted, and based on this analysis, the compliance of the sample detection process of the target potassium bromide detection samples belonging to the three types of detection methods was obtained.

[0060] It is necessary to further explain that the sample detection process of the target potassium bromide detection sample of the three types of detection methods meets the specific analysis method of the situation: according to the analysis formula Obtain the sample testing process compliance of the target potassium bromide test samples belonging to the three types of test methods ,in They are the light source stability and detector stability of the target potassium bromide detection samples of the three types of detection methods. They are respectively the light source stability threshold and the detector stability threshold of the target potassium bromide detection samples belonging to the preset three categories of detection methods. If the sample detection process compliance of the target potassium bromide detection samples belonging to the three categories of detection methods is 0, it means that the sample detection process compliance of the target potassium bromide detection samples belonging to the three categories of detection methods is non-compliant. If the sample detection process compliance of the target potassium bromide detection samples belonging to the three categories of detection methods is 1, it means that the sample detection process compliance of the target potassium bromide detection samples belonging to the three categories of detection methods is compliant.

[0061] The method for obtaining the compliance status of the detection process of the target potassium bromide detection samples belonging to the same type of detection method can obtain the compliance status of the detection process of the target potassium bromide detection samples belonging to three types of detection methods.

[0062] As a preferred feasible embodiment, the physical analysis method of the compliance of the detection process of the target potassium bromide detection samples belonging to the four types of detection methods is: extracting the color compliance of the sample solution of the target potassium bromide detection samples belonging to the four types of detection methods, and analyzing the compliance of the sample preparation process of the target potassium bromide detection samples belonging to the three types of detection methods to obtain the compliance of the sample preparation process of the target potassium bromide detection samples belonging to the four types of detection methods.

[0063] The injection port temperature, column oven temperature, detector temperature and carrier gas flow rate of the target potassium bromide detection samples belonging to the four types of detection methods were extracted, and the compliance of the sample detection process of the target potassium bromide detection samples belonging to the four types of detection methods was obtained based on the analysis.

[0064] It should be further explained that the specific analysis method for the compliance of the sample detection process of the target potassium bromide detection samples of the four types of detection methods is as follows: Analyze the compliance of the sample detection process of the target potassium bromide detection samples of the four types of detection methods ,in They are respectively the injection port temperature, column oven temperature, detector temperature and carrier gas flow rate of the target potassium bromide detection sample of the four types of detection methods. They are the standard injection port temperature, standard column oven temperature, standard detector temperature and standard carrier gas flow rate of the target potassium bromide detection samples of the four types of detection methods extracted from the database. The allowable difference between the set injection port temperature and the standard injection port temperature, the allowable difference between the column oven temperature and the standard column oven temperature, the allowable difference between the detector temperature and the standard detector temperature, and the allowable difference between the carrier gas flow rate and the standard carrier gas flow rate are respectively compared. The sample detection process compliance of the target potassium bromide detection samples belonging to the four types of detection methods is compared with the set sample detection process compliance threshold of the four types of detection methods. If the sample detection process compliance of the target potassium bromide detection samples belonging to the four types of detection methods is greater than the sample detection process compliance threshold of the four types of detection methods, the sample detection process compliance of the target potassium bromide detection samples belonging to the four types of detection methods is recorded as compliance; otherwise, the sample detection process compliance of the target potassium bromide detection samples belonging to the four types of detection methods is recorded as non-compliance.

[0065] The method for obtaining the compliance status of the detection process of the target potassium bromide detection samples belonging to the same type of detection method can obtain the compliance status of the detection process of the target potassium bromide detection samples belonging to four types of detection methods.

[0066] S2-3. Acquisition of organic residue data: Acquisition of organic residue data of target potassium bromide test samples of each test method.

[0067] S3. Potassium bromide sample analysis: Analyze the target potassium bromide mixture to determine the residual content of various organic substances in various standard samples.

[0068] As a preferred feasible embodiment, the specific analysis method of the various organic matter residual contents of the target potassium bromide mixture corresponding to various standard samples is as follows: respectively extracting the infrared spectrum of the target potassium bromide detection sample belonging to the first detection method, the thermogravimetric curve of the target potassium bromide detection sample belonging to the second detection method, the standard solution of the target potassium bromide detection sample belonging to the third detection method corresponding to the concentration of various organic matters, and the chromatogram of the target potassium bromide detection sample belonging to the fourth detection method; based on the corresponding detection method, the various organic matter residual amounts of the target potassium bromide detection samples belonging to each detection method can be obtained, which are recorded as the various organic matter residual contents of the target potassium bromide mixture corresponding to various standard samples.

[0069] It should be further explained that the specific operations for obtaining the various organic residues of the target potassium bromide detection samples of each detection method based on the corresponding detection method are as follows: (1) For the infrared spectrum of the target potassium bromide detection samples of a type of detection method: compare the infrared spectrum of the target potassium bromide detection samples of a type of detection method with the reference infrared spectrum stored in the database to obtain the various organic substances in the infrared spectrum of the target potassium bromide detection samples of the type of detection method, further obtain the absorption peak intensity values ​​of the various organic substances in the infrared spectrum of the target potassium bromide detection samples of the type of detection method, substitute them into the calibration curve equation, and calculate the various organic residues of the target potassium bromide detection samples of the type of detection method.

[0070] It should be explained that the specific method of obtaining the absorption peak intensity values ​​of various organic substances in the infrared spectrum of the target potassium bromide detection sample belonging to the type of detection method is: using image analysis software to measure the vertical distance from the highest point of the absorption peak of various organic substances in the infrared spectrum of the target potassium bromide detection sample belonging to the type of detection method to the baseline, and using it as the absorption peak intensity value of various organic substances in the infrared spectrum of the target potassium bromide detection sample belonging to the type of detection method.

[0071] In a specific example, if the calibration curve equation is a linear equation, for example, the measured absorption peak intensity is , substitute into the equation , solve for , that is, the concentration of organic matter in the sample to be tested, where are all constants.

[0072] (2) Thermogravimetric curve of the target potassium bromide test sample of the second detection method: Compare the thermogravimetric curve of the target potassium bromide test sample of the second detection method with the reference thermogravimetric curve stored in the database to obtain various organic substances in the thermogravimetric curve of the target potassium bromide test sample of the second detection method, and further extract the starting mass and ending mass of various organic substances in the specific temperature range of the thermogravimetric curve of the target potassium bromide test sample of the second detection method, which are recorded as ,in , The numbers of various organic substances. is the number of organic compounds, and the weight loss percentage of each organic compound in the thermogravimetric curve of the target potassium bromide test sample belonging to the second-class detection method is analyzed. ,in It is the quality of the target potassium bromide test sample belonging to the second category detection method.

[0073] The weight loss percentages of various organic matters in the thermogravimetric curve of the target potassium bromide test sample belonging to the second detection method are compared with the weight loss percentages of various organic matters corresponding to various residual contents stored in the database to obtain the residual amounts of various organic matters in the target potassium bromide test sample belonging to the second detection method.

[0074] (3) The concentrations of various organic substances corresponding to the standard solutions of the target potassium bromide test samples of the three types of detection methods: multiply the concentrations of various organic substances corresponding to the standard solutions of the target potassium bromide test samples of the three types of detection methods by the dilution factor during sample preparation to obtain the residual amounts of various organic substances in the target potassium bromide test samples of the three types of detection methods.

[0075] (4) For the chromatograms of the target potassium bromide detection samples of the four detection methods: compare the chromatograms of the target potassium bromide detection samples of the four detection methods with the reference chromatograms stored in the database to obtain the various organic substances in the chromatograms of the target potassium bromide detection samples of the four detection methods, further obtain the peak heights of the various organic substances in the chromatograms of the target potassium bromide detection samples of the four detection methods, substitute them into the standard formula for calculation to obtain the concentrations of the various organic substances in the chromatograms of the target potassium bromide detection samples of the four detection methods, and multiply the peak heights by the dilution factor during sample preparation to obtain the residual amounts of the various organic substances in the chromatograms of the target potassium bromide detection samples of the four detection methods.

[0076] S4. Analysis of organic matter residue content in potassium bromide: Analyze the various organic matter residues in the target potassium bromide mixture and provide feedback.

[0077] As a preferred feasible embodiment, the specific analysis method of the various organic residues in the target potassium bromide mixture is: based on the various organic residue contents of various standard samples corresponding to the target potassium bromide mixture, the various organic residues in the target potassium bromide mixture are determined according to predefined principles.

[0078] It needs to be further explained that the specific content of the predefined principle is: determining the names of various organic substances in the target potassium bromide sample from the residual contents of various organic substances in various standard samples corresponding to the target potassium bromide mixture, and further matching them with the appropriate detection methods belonging to the names of various organic substances stored in the database to obtain the appropriate detection methods belonging to the names of various organic substances in the target potassium bromide sample.

[0079] Then, according to the appropriate detection method belonging to the names of various organic substances in the target potassium bromide sample, the organic matter residue content obtained by the appropriate detection method in the various organic matter residue contents of various standard samples corresponding to the target potassium bromide mixture is retained and recorded as the various organic matter residues of the target potassium bromide mixture.

[0080] In a specific example, if the appropriate detection method for the Class A organic matter of the target potassium bromide sample is a Class I detection method, the Class A organic matter residue content of the target potassium bromide mixture corresponding to the Class I standard sample is used as the Class A organic matter residue of the target potassium bromide mixture.

[0081] The present invention obtains the detection process data of the target potassium bromide detection samples belonging to various detection methods, analyzes the detection process compliance of the target potassium bromide detection samples belonging to various detection methods, helps to avoid misjudgment or missed judgment in the whole detection process due to factors such as improper operation, instrument error or improper sample handling, and ensures the accuracy and reliability of the detection results.

[0082] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A rapid detection method for the residual organic matter content of potassium bromide based on artificial intelligence, characterized in that: include: S1. Acquisition of potassium bromide samples: Recording the potassium bromide samples to be tested as target potassium bromide samples, and further dividing them into target potassium bromide samples belonging to each detection method according to the detection method, wherein the detection method includes a first detection method, a second detection method, a third detection method and a fourth detection method; S2. Potassium bromide sample detection: Prepare the target potassium bromide sample of each detection method according to the requirements, obtain the target potassium bromide detection sample of each detection method, and detect it to obtain the organic residue data of the target potassium bromide detection sample of each detection method; The content of S2 includes: S2-1, detection process data acquisition: acquiring the detection process data of the target potassium bromide detection sample belonging to each detection method; S2-2. Detection process data analysis: Analyze the detection process compliance of the target potassium bromide detection samples of each detection method; S2-3. Acquisition of organic matter residue data: Acquisition of organic matter residue data of target potassium bromide test samples of each test method; S3. Potassium bromide sample analysis: Analyze the residual content of various organic substances in the target potassium bromide mixture corresponding to various standard samples; S4. Analysis of organic matter residue content in potassium bromide: Analyze the various organic matter residues in the target potassium bromide mixture and provide feedback.

2. The method for rapid detection of potassium bromide organic residue content based on artificial intelligence according to claim 1, characterized in that: The specific contents of the target potassium bromide samples divided into target potassium bromide samples for each detection method according to the detection method include: The number of detection methods is obtained, and the target potassium bromide sample is equally divided by mass according to the number of detection methods, and then each equal portion of the target potassium bromide sample is recorded as the target potassium bromide sample belonging to each detection method.

3. The method for rapid detection of potassium bromide organic residue content based on artificial intelligence according to claim 1, characterized in that: The organic matter residue data of the target potassium bromide detection sample of the first type of detection method includes an infrared spectrum; The organic matter residue data of the target potassium bromide detection sample of the second type detection method includes a thermogravimetric curve; The organic matter residue data of the target potassium bromide test samples of the three types of detection methods include the concentrations of various organic matters corresponding to the standard solutions; The organic matter residue data of the target potassium bromide detection samples belonging to the four types of detection methods include chromatograms; The detection process data of the target potassium bromide detection samples belonging to the various detection methods include the detection process data of the target potassium bromide detection samples belonging to the first, second, third and fourth detection methods; The detection process data of the target potassium bromide detection sample of the first detection method include the sample powder fineness, sample mixing uniformity and baseline flatness; The detection process data of the target potassium bromide detection sample of the second type detection method includes sample paving uniformity, heating rate and maximum temperature; The detection process data of the target potassium bromide detection samples belonging to the three types of detection methods include the color compliance of the sample solution and the stability of the light source and the stability of the detector; The detection process data of the target potassium bromide detection samples belonging to the four types of detection methods include the color compliance of the sample solution and the injection port temperature, column oven temperature, detector temperature and carrier gas flow rate.

4. The method for rapid detection of potassium bromide organic residue content based on artificial intelligence according to claim 3 is characterized in that: The conformity analysis of the detection process of the target potassium bromide detection sample of the first detection method needs to analyze the conformity of the sample preparation process and the conformity of the sample detection process of the target potassium bromide detection sample of the first detection method. The specific analysis method is as follows: The powder fineness and mixing uniformity of the sample of potassium bromide detection sample of the target detection method are respectively recorded as , analyze the compliance of the sample preparation process of the target potassium bromide detection sample belonging to a type of detection method ,in are respectively the sample powder fineness threshold and the sample mixing uniformity threshold of the target potassium bromide detection sample of a type of detection method extracted from the database. If the sample preparation process compliance of the target potassium bromide detection sample of a type of detection method is 0, it means that the sample preparation process compliance of the target potassium bromide detection sample of a type of detection method is not consistent. If the sample preparation process compliance of the target potassium bromide detection sample of a type of detection method is 1, it means that the sample preparation process compliance of the target potassium bromide detection sample of a type of detection method is consistent. The baseline flatness of the target potassium bromide detection sample belonging to a type of detection method is extracted, and the baseline flatness is compared with the baseline flatness threshold stored in the database. If the baseline flatness of the target potassium bromide detection sample belonging to the type of detection method is greater than the baseline flatness threshold, it means that the sample detection process of the target potassium bromide detection sample belonging to the type of detection method is in compliance; otherwise, it means that the sample detection process of the target potassium bromide detection sample belonging to the type of detection method is in compliance.

5. The method for rapid detection of potassium bromide organic residue content based on artificial intelligence according to claim 4 is characterized in that: The specific analysis method for the detection process of the target potassium bromide detection sample belonging to the first type of detection method is as follows: If the sample preparation process compliance and the sample testing process compliance of the target potassium bromide testing sample belonging to a type of testing method are both compliant, then the testing process compliance of the target potassium bromide testing sample belonging to the type of testing method is recorded as compliant; otherwise, the testing process compliance of the target potassium bromide testing sample belonging to the type of testing method is recorded as non-compliant, and the reasons for the non-compliance are fed back.

6. The method for rapid detection of potassium bromide organic residue content based on artificial intelligence according to claim 5, characterized in that: The detection process of the target potassium bromide detection sample belonging to the second type of detection method meets the situation, and its specific analysis method is: Extract the sample tiling uniformity of the target potassium bromide test sample belonging to the second category detection method. If it is uniform, the compliance of the sample preparation process of the target potassium bromide test sample belonging to the second category detection method is recorded as compliance. Otherwise, the compliance of the sample preparation process of the target potassium bromide test sample belonging to the second category detection method is recorded as non-compliance. Extract the heating rate and maximum temperature of the target potassium bromide test sample belonging to the second-category test method, and analyze the compliance of the sample test process of the target potassium bromide test sample belonging to the second-category test method based on this; The method for obtaining the compliance status of the detection process of the target potassium bromide detection sample belonging to the same type of detection method can obtain the compliance status of the detection process of the target potassium bromide detection sample belonging to the second type of detection method.

7. The method for rapid detection of potassium bromide organic residue content based on artificial intelligence according to claim 6 is characterized in that: The specific analysis methods for the detection process of the target potassium bromide detection samples belonging to the three types of detection methods are as follows: Extract the sample solution color compliance of the target potassium bromide detection sample belonging to the three types of detection methods, and compare it with the sample solution color compliance threshold stored in the database. If the sample solution color compliance of the target potassium bromide detection sample belonging to the three types of detection methods is greater than the sample solution color compliance threshold, the compliance of the sample preparation process of the target potassium bromide detection sample belonging to the three types of detection methods is recorded as compliance; otherwise, the compliance of the sample preparation process of the target potassium bromide detection sample belonging to the three types of detection methods is recorded as non-compliance; The light source stability and detector stability of the target potassium bromide detection samples belonging to the three types of detection methods are extracted, and based on this, the sample detection process compliance of the target potassium bromide detection samples belonging to the three types of detection methods is analyzed; The method for obtaining the compliance status of the detection process of the target potassium bromide detection samples belonging to the same type of detection method can obtain the compliance status of the detection process of the target potassium bromide detection samples belonging to three types of detection methods.

8. The method for rapid detection of potassium bromide organic residue content based on artificial intelligence according to claim 7, characterized in that: The detection process of the target potassium bromide detection sample belonging to the four types of detection methods meets the following physical analysis methods: Extract the sample solution color compliance of the target potassium bromide test samples belonging to the four types of test methods, and analyze the sample preparation process compliance of the target potassium bromide test samples belonging to the three types of test methods, and obtain the sample preparation process compliance of the target potassium bromide test samples belonging to the four types of test methods; Extract the injection port temperature, column oven temperature, detector temperature and carrier gas flow rate of the target potassium bromide detection samples belonging to the four types of detection methods, and analyze the compliance of the sample detection process of the target potassium bromide detection samples belonging to the four types of detection methods; The method for obtaining the compliance status of the detection process of the target potassium bromide detection samples belonging to the same type of detection method can obtain the compliance status of the detection process of the target potassium bromide detection samples belonging to four types of detection methods.

9. The method for rapid detection of potassium bromide organic residue content based on artificial intelligence according to claim 3, characterized in that: The specific analysis method of the target potassium bromide mixture corresponding to various organic residue contents of various standard samples is as follows: The infrared spectrum of the target potassium bromide detection sample belonging to the first detection method, the thermogravimetric curve of the target potassium bromide detection sample belonging to the second detection method, the standard solution of the target potassium bromide detection sample belonging to the third detection method corresponding to the concentration of various organic matters, and the chromatogram of the target potassium bromide detection sample belonging to the fourth detection method are extracted respectively. Based on the corresponding detection methods, the residual amounts of various organic matters of the target potassium bromide detection samples belonging to each detection method can be obtained, which are recorded as the residual contents of various organic matters of various standard samples corresponding to the target potassium bromide mixture.

10. The method for rapid detection of potassium bromide organic residue content based on artificial intelligence according to claim 9, characterized in that: The specific analysis method of the various organic residues in the target potassium bromide mixture is: based on the various organic residue contents of various standard samples corresponding to the target potassium bromide mixture, the various organic residues in the target potassium bromide mixture are determined according to predefined principles.

Images