A laboratory-based system for measuring the concentration of each component of industrial solution

Abstract

The invention relates to the field of solution concentration determination, and specifically discloses a laboratory-based industrial solution component concentration determination system. The invention obtains experimental condition information of a laboratory for determining the concentration of each component of a sodium aluminate solution according to a soft measurement method, determines whether the experimental conditions of the laboratory meet the requirements and issues an early warning, thereby preventing an environment that does not meet the conditions from affecting the accuracy and stability of the concentration determination of each component of the sodium aluminate solution; obtains data of each measurement by various soft measurement methods, compares the difference in measurement data between different soft measurement methods and between each measurement by the same soft measurement method, evaluates the credibility index of measurement data by various soft measurement methods, screens various soft measurement methods whose measurement data credibility meets the standard, further analyzes the reference concentration of each component of the sodium aluminate solution, and compares and verifies the measurement data by a plurality of soft measurement methods, thereby improving the accuracy of the measurement results of the concentration of each component of the sodium aluminate solution.

Description

Technical Field

[0001] The invention relates to the field of solution concentration determination, and in particular to a laboratory-based system for determining the concentrations of various components of industrial solutions. Background Art

[0002] The determination of component concentration of industrial solutions is an important part of chemical analysis, and it plays a key role in many industries. For specific industrial processes, accurate determination of the concentration of each component in the solution is the basis for ensuring product quality, optimizing production processes, controlling costs, and ensuring environmental safety. Among them, sodium aluminate solution is common in the aluminum industry, especially in the production of alumina. The determination of the component concentration of sodium aluminate solution affects the purity and yield of alumina, and is also crucial for the research and development of new materials.

[0003] However, the existing methods for determining the concentration of each component of sodium aluminate solution still have some limitations and shortcomings in practical applications.

[0004] For example, the existing Chinese patent with authorization announcement number CN101281182B discloses a soft measurement method for the concentration of components in sodium aluminate solution, including process data collection, process data preprocessing, establishing a soft measurement model, solving model coefficients and calculating component concentrations, wherein the soft measurement model is established including: (1) a soft measurement model for the concentration of caustic soda and carbonate, which adopts a method combining an improved fuzzy c-means clustering algorithm with a TSK fuzzy model; (2) a soft measurement model for the concentration of alumina, which adopts a mechanism formula method. The inventive method is easy to implement, has high reliability and accuracy, and lays a foundation for the automatic control and optimized operation of the alumina production process.

[0005] For example, the existing Chinese patent with publication number CN110208453A discloses a soft measurement method for the concentration of caustic soda in sodium aluminate solution, which is applicable to the process flow of producing alumina by the Bayer process, and realizes soft measurement of the concentration of caustic soda in sodium aluminate solution in each process. The inventive method uses the refractive index of sodium aluminate solution and the temperature of sodium aluminate solution as auxiliary variables of soft measurement. The refractive index and temperature of the medium can be easily detected by sensors, and can be acquired and recorded in real time in the DCS / PLC control system. A mathematical model is established using sensor detection data and solution sampling test data, and the refractive index and temperature values ​​of the sodium aluminate solution are used as soft measurement model inputs to obtain the caustic soda concentration output by the soft measurement model. The inventive method is easy to implement, the auxiliary variables are easy to detect and obtain, and the soft measurement results are accurate, which provides a strong guarantee for automatic control and optimization control of alumina production.

[0006] The above prior art has the following problems: 1. Before determining the concentration of each component of the sodium aluminate solution, the laboratory conditions are not monitored and analyzed, such as the temperature, humidity and cleanliness in the laboratory. An environment that does not meet the conditions will affect the accuracy and stability of the concentration determination of each component of the sodium aluminate solution.

[0007] 2. Due to errors in experimental operation or errors in data processing, the results of the soft measurement method for determining the concentration of each component of the sodium aluminate solution may be biased. The existing technology uses a single soft measurement method, and does not use multiple soft measurement methods to form a comparison, judge whether the data measured by the soft measurement method is wrong, and then select soft measurement data with high credibility for result analysis, resulting in low accuracy of the concentration measurement results of each component of the sodium aluminate solution. Summary of the invention

[0008] In view of the above problems, the present invention proposes a laboratory-based industrial solution component concentration measurement system to achieve the function of solution concentration measurement.

[0009] The technical solution adopted by the present invention to solve its technical problem is: the present invention provides a laboratory-based industrial solution component concentration determination system, including: a laboratory experimental condition monitoring and early warning module: used to obtain the laboratory experimental condition information of the laboratory for determining the concentration of each component of the sodium aluminate solution by soft measurement, and record it as the laboratory experimental condition information, wherein the experimental condition information includes temperature, humidity, cleanliness and stability of the instrument placement platform, and judge whether the laboratory experimental conditions meet the requirements. If not, an early warning is issued.

[0010] A module for acquiring data from various soft measurement methods: a module for acquiring data from various soft measurement methods to determine the concentration of each component of the sodium aluminate solution sample a set number of times through various soft measurement methods, acquiring data from each measurement by various soft measurement methods, and obtaining the concentration of each component of the sodium aluminate solution in each measurement by various soft measurement methods.

[0011] The first credibility analysis module of soft measurement data is used to compare the differences of the measured data between different soft measurement methods according to the data measured by various soft measurement methods, and analyze the first credibility coefficients of the measured data by various soft measurement methods.

[0012] The second credibility analysis module of soft measurement data is used to compare the differences of the measured data between the measurements of the same soft measurement method according to the measured data of various soft measurement methods, and analyze the second credibility coefficients of the measured data of various soft measurement methods.

[0013] Soft measurement data analysis and processing module: used to analyze the credibility index of data measured by various soft measurement methods according to the first credibility coefficient and the second credibility coefficient of data measured by various soft measurement methods, screen various soft measurement methods with qualified credibility of measurement data, and record them as designated soft measurement methods.

[0014] The module for obtaining the feedback of the concentration of each component of the sodium aluminate solution is used to obtain the concentration of each component of the sodium aluminate solution in each measurement of each specified soft measurement method, analyze the reference concentration of each component of the sodium aluminate solution, and provide feedback.

[0015] Database: used to store the thresholds of the laboratory's temperature, humidity, cleanliness, and instrument platform stability.

[0016] On the basis of the above embodiments, the specific working process of the laboratory experimental condition monitoring and early warning module includes: arranging various monitoring points in the laboratory according to preset principles, detecting the temperature and humidity of each monitoring point in the laboratory by temperature and humidity sensors, comparing the temperatures of each monitoring point in the laboratory with each other, obtaining the highest temperature of the monitoring point in the laboratory, recording it as the temperature of the laboratory, and expressing it as T. Similarly, obtaining the highest humidity of the monitoring point in the laboratory, recording it as the humidity of the laboratory, and expressing it as H.

[0017] The dust concentration of each monitoring point in the laboratory is obtained by a dust measuring instrument, and the maximum dust concentration of the monitoring points in the laboratory is obtained, which is recorded as the dust concentration of the laboratory. It is substituted into the preset relationship function between dust concentration and cleanliness to obtain the cleanliness of the laboratory, which is recorded as β.

[0018] The equipment required for obtaining auxiliary variables in the soft measurement method for determining the concentration of each component of the sodium aluminate solution is obtained, and it is recorded as each designated equipment. The vibration frequency and vibration amplitude of each designated equipment placement platform under the set load are obtained through the accelerometers arranged on the surface of each designated equipment placement platform, which are recorded as f a , b a , a represents the number of the ath designated device, a=1,2,...,c, through the analysis formula The stability of the laboratory instrument placement platform δ is obtained, where ε represents the correction factor of the preset instrument placement platform stability, e represents the natural constant, and f 设 , b 设 They respectively represent the thresholds of the vibration frequency and vibration amplitude of the specified equipment placement platform under the preset set load.

[0019] Based on the above embodiment, the specific working process of the laboratory experimental condition monitoring and early warning module also includes: extracting the thresholds of the laboratory's temperature, humidity, cleanliness and instrument placement platform stability stored in the database, and recording them as T′, H′, β′, δ′ respectively.

[0020] Substitute the laboratory temperature T, humidity H, cleanliness β, and instrument placement platform stability δ into the analysis formula The laboratory experimental conditions meet the coefficient φ, where Respectively represent the weight factors of preset temperature, humidity, cleanliness and stability of the instrument placement platform,

[0021] Based on the above embodiment, the specific working process of the laboratory experimental condition monitoring and early warning module also includes: comparing the laboratory's experimental condition compliance coefficient with a preset experimental condition compliance coefficient threshold. If the laboratory's experimental condition compliance coefficient is less than the preset experimental condition compliance coefficient threshold, the laboratory's experimental conditions do not meet the requirements and an early warning is issued.

[0022] On the basis of the above embodiment, the specific working process of the first credibility analysis module of the soft measurement data is as follows: according to the concentration of each component of the sodium aluminate solution in each measurement by various soft measurement methods, the average value, median and mode of the concentration of each component of the sodium aluminate solution measured by various soft measurement methods are obtained, and they are respectively recorded as i represents the number of the i-th soft measurement method, i=1,2,...,n, and p represents the number of the p-th component of the sodium aluminate solution, p=1,2,...,q.

[0023] By analyzing the formula Get the first deviation coefficient of the data measured by various soft measurement methods Where n represents the number of soft-sensing methods.

[0024] Substitute the first deviation coefficient of the data measured by various soft measurement methods into the relationship function between the preset first deviation coefficient and the first credibility coefficient to obtain the first credibility coefficient of the data measured by various soft measurement methods, which is recorded as

[0025] On the basis of the above embodiment, the specific working process of the second credibility analysis module of the soft measurement data is as follows: the concentration of each component of the sodium aluminate solution in each measurement by various soft measurement methods is recorded as d ijp , j represents the number of the jth measurement, j = 1, 2, ..., m.

[0026] The maximum and minimum values ​​of the concentrations of each component of the sodium aluminate solution determined by various soft measurement methods are obtained and recorded as

[0027] By analyzing the formula Get the second deviation coefficient of the data measured by various soft measurement methods Where m represents the number of measurements, d i(j-1)pIt represents the concentration of the pth component of the sodium aluminate solution in the j-1th measurement of the i-th soft measurement method, △d1 represents the preset threshold of the deviation between two adjacent measurement data, and △d2 represents the preset threshold of the difference between the maximum and minimum values ​​of the measurement data.

[0028] Substitute the second deviation coefficient of the data measured by various soft measurement methods into the relationship function between the preset second deviation coefficient and the second credibility coefficient to obtain the second credibility coefficient of the data measured by various soft measurement methods, which is recorded as η2 i .

[0029] Based on the above embodiment, the specific working process of the soft measurement data analysis and processing module includes: and the second credibility coefficient Substitute into the analysis formula The credibility index κ of the data measured by various soft measurement methods is obtained i , where μ represents the correction factor of the preset credibility index, η 1设 , η 2设 represents the threshold values ​​of the preset first credibility coefficient and the second credibility coefficient, λ1 and λ2 represent the weight factors of the preset first credibility coefficient and the second credibility coefficient respectively, and λ1+λ2=1.

[0030] On the basis of the above-mentioned embodiment, the specific working process of the soft measurement measurement data analysis and processing module also includes: comparing the credibility index of the measurement data of various soft measurement methods with a preset credibility index threshold value; if the credibility index of the measurement data of a certain soft measurement method is greater than or equal to the preset credibility index threshold value, then the credibility of the measurement data of this soft measurement method meets the standard; and counting various soft measurement methods whose measurement data credibility meets the standard, and recording them as designated soft measurement methods.

[0031] On the basis of the above embodiment, the specific working process of the module for obtaining feedback on the concentration of each component of the sodium aluminate solution includes: screening and obtaining the concentration of each component of the sodium aluminate solution in each measurement by each specified soft measurement method according to the concentration of each component of the sodium aluminate solution in each measurement by various soft measurement methods.

[0032] A coordinate system is established with the number of measurements as the horizontal axis and the component concentration as the vertical axis. According to the concentration of each component of the sodium aluminate solution in each measurement by each specified soft measurement method, the corresponding data points are marked in the coordinate system. The mathematical model establishment method is used to draw the changing trend curve of the concentration measurement results of each component of the sodium aluminate solution in each specified soft measurement method. Further, a linear regression line of the changing trend curve of the concentration measurement results of each component of the sodium aluminate solution in each specified soft measurement method is drawn, and it is recorded as the changing trend reference line of the concentration measurement results of each component of the sodium aluminate solution in each specified soft measurement method.

[0033] Obtain the midpoint position and the ordinates corresponding to the two end points of the reference line of the change trend of the concentration measurement results of each component of the sodium aluminate solution in each specified soft measurement method, and record them as and x represents the number of the x-th specified soft measurement method, x=1,2,...,y.

[0034] On the basis of the above-mentioned embodiment, the specific working process of the sodium aluminate solution component concentration acquisition feedback module further includes: calculating the ordinate corresponding to the midpoint position of the reference line of the change trend of the concentration measurement result of each component of the sodium aluminate solution in each specified soft measurement method Substitute into the analysis formula Obtain the baseline value of the concentration of each component of the sodium aluminate solution Where y represents the number of specified soft sensor methods.

[0035] The ordinates corresponding to the two end points of the reference line of the change trend of the concentration of each component of the sodium aluminate solution in each specified soft measurement method are Substitute into the analysis formula Get the correction value of the concentration of each component of sodium aluminate solution

[0036] The baseline value of the concentration of each component of the sodium aluminate solution Correction amount to the reference value Substitute into the analysis formula Obtain the reference concentration of each component of sodium aluminate solution And provide feedback.

[0037] Compared with the prior art, the laboratory-based industrial solution component concentration determination system described in the present invention has the following beneficial effects: 1. The present invention determines whether the experimental conditions of the laboratory meet the requirements and issues an early warning by obtaining the temperature, humidity, cleanliness and stability of the instrument placement platform of the laboratory that determines the concentration of each component of the sodium aluminate solution based on a soft measurement method, thereby avoiding the impact of an unqualified environment on the accuracy and stability of the concentration determination of each component of the sodium aluminate solution.

[0038] 2. The present invention obtains the data of each measurement by various soft measurement methods, compares the differences in the measurement data between different soft measurement methods and between each measurement by the same soft measurement method, evaluates the credibility index of the measurement data by various soft measurement methods, screens various soft measurement methods whose measurement data credibility meets the standard, further analyzes the reference concentration of each component of the sodium aluminate solution, and compares and verifies the measurement data by multiple soft measurement methods, thereby improving the reliability of the measurement data and thus improving the accuracy of the measurement results of the concentrations of the components of the sodium aluminate solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] 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.

[0040] Figure 1 This is a system module connection diagram of the present invention.

[0041] Figure 2 It is a schematic diagram of the process of the present invention.

[0042] Figure 3 It is a schematic diagram of the reference line of the variation trend of the measurement results of the component concentrations of the sodium aluminate solution of the present invention.

[0043] Figure numerals: 1. Number of measurements; 2. Component concentration; 3. Trend curve of measurement results of component concentration of sodium aluminate solution; 4. Reference line of trend of measurement results of component concentration of sodium aluminate solution; 5. Midpoint position; 6. First endpoint position; 7. Second endpoint position. DETAILED DESCRIPTION

[0044] 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.

[0045] See also Figure 1 and Figure 2 As shown, the present invention provides a laboratory-based industrial solution component concentration measurement system, including a laboratory experimental condition monitoring and early warning module, a multiple soft measurement method measurement data acquisition module, a soft measurement measurement data first credibility analysis module, a soft measurement measurement data second credibility analysis module, a soft measurement measurement data analysis and processing module, a sodium aluminate solution component concentration acquisition feedback module, and a database.

[0046] The multiple soft measurement data acquisition modules are respectively connected to the laboratory experimental condition monitoring and early warning module, the soft measurement measurement data first credibility analysis module and the soft measurement measurement data second credibility analysis module; the soft measurement measurement data analysis and processing modules are respectively connected to the soft measurement measurement data first credibility analysis module and the soft measurement measurement data second credibility analysis module; the concentration acquisition feedback module of each component of the sodium aluminate solution is connected to the soft measurement measurement data analysis and processing module; and the database is connected to the laboratory experimental condition monitoring and early warning module.

[0047] The laboratory experimental condition monitoring and early warning module is used to obtain the experimental condition information of the laboratory for measuring the concentration of each component of the sodium aluminate solution by soft measurement, and record it as the experimental condition information of the laboratory, wherein the experimental condition information includes temperature, humidity, cleanliness and stability of the instrument placement platform, and judge whether the experimental conditions of the laboratory meet the requirements. If not, an early warning is issued.

[0048] Furthermore, the specific working process of the laboratory experimental condition monitoring and early warning module includes: arranging various monitoring points in the laboratory according to preset principles, detecting the temperature and humidity of each monitoring point in the laboratory by temperature and humidity sensors, comparing the temperatures of each monitoring point in the laboratory with each other, obtaining the highest temperature of the monitoring point in the laboratory, recording it as the temperature of the laboratory, and expressing it as T. Similarly, obtaining the highest humidity of the monitoring point in the laboratory, recording it as the humidity of the laboratory, and expressing it as H.

[0049] The dust concentration of each monitoring point in the laboratory is obtained by a dust measuring instrument, and the maximum dust concentration of the monitoring points in the laboratory is obtained, which is recorded as the dust concentration of the laboratory. It is substituted into the preset relationship function between dust concentration and cleanliness to obtain the cleanliness of the laboratory, which is recorded as β.

[0050] As a preferred solution, the preset relationship function between dust concentration and cleanliness is a decreasing function, that is, the greater the dust concentration, the lower the cleanliness.

[0051] The equipment required for obtaining auxiliary variables in the soft measurement method for determining the concentration of each component of the sodium aluminate solution is obtained, and it is recorded as each designated equipment. The vibration frequency and vibration amplitude of each designated equipment placement platform under the set load are obtained through the accelerometers arranged on the surface of each designated equipment placement platform, which are recorded as f a , b a , a represents the number of the ath designated device, a=1,2,...,c, through the analysis formula The stability of the laboratory instrument placement platform δ is obtained, where ε represents the correction factor of the preset instrument placement platform stability, e represents the natural constant, and f 设 , b 设 They respectively represent the thresholds of the vibration frequency and vibration amplitude of the specified equipment placement platform under the preset set load.

[0052] Furthermore, the specific working process of the laboratory experimental condition monitoring and early warning module also includes: extracting the threshold values ​​of the laboratory's temperature, humidity, cleanliness and instrument placement platform stability stored in the database, and recording them as T', H', β', δ' respectively.

[0053] As a preferred solution, the multi-component concentration measurement of sodium aluminate solution needs to be carried out under good experimental conditions. An unsatisfactory experimental environment will affect the accuracy and stability of the measurement.

[0054] As a preferred solution, temperature changes can cause electronic component parameters to drift, and large temperature changes can affect the accuracy of the measurement results and also affect the life of the electronic components in the instrument. In a specific embodiment, the temperature of the laboratory is required to be below 24°C.

[0055] As a preferred solution, high humidity in the air can cause corrosion or even short circuit of electronic components, and long-term severe corrosion can damage the instrument. In a specific embodiment, the humidity requirement of the laboratory is below 40%.

[0056] As a preferred solution, dust in the air adheres to the instrument circuit and causes a short circuit, thereby damaging the instrument. The dust also contaminates the sodium aluminate solution sample and affects the accuracy of the measurement data.

[0057] As a preferred solution, vibration will affect the normal operation of the instrument and further affect the accuracy of the measurement results.

[0058] Substitute the laboratory temperature T, humidity H, cleanliness β, and instrument placement platform stability δ into the analysis formula The laboratory experimental conditions meet the coefficient φ, where Respectively represent the weight factors of preset temperature, humidity, cleanliness and stability of the instrument placement platform,

[0059] As a preferred solution, the weight factors of temperature, humidity, cleanliness and stability of the instrument placement platform are set according to the importance of temperature, humidity, cleanliness and stability of the instrument placement platform in the experimental conditions of the laboratory. In a specific embodiment, the weight factors of temperature, humidity, cleanliness and stability of the instrument placement platform are 0.25, 0.25, 0.25, and 0.25, respectively.

[0060] Furthermore, the specific working process of the laboratory experimental condition monitoring and early warning module also includes: comparing the laboratory's experimental condition compliance coefficient with a preset experimental condition compliance coefficient threshold; if the laboratory's experimental condition compliance coefficient is less than the preset experimental condition compliance coefficient threshold, the laboratory's experimental conditions do not meet the requirements and an early warning is issued.

[0061] It should be noted that the present invention determines whether the experimental conditions of the laboratory meet the requirements and issues an early warning by obtaining the temperature, humidity, cleanliness and stability of the instrument placement platform of the laboratory in which the concentrations of the components of the sodium aluminate solution are determined according to the soft measurement method, so as to avoid the influence of an unqualified environment on the accuracy and stability of the concentration determination of the components of the sodium aluminate solution.

[0062] The multiple soft measurement method determination data acquisition module is used to measure the concentration of each component of the sodium aluminate solution sample a set number of times through various soft measurement methods, obtain the data of each measurement by various soft measurement methods, and obtain the concentration of each component of the sodium aluminate solution in each measurement by various soft measurement methods.

[0063] As a preferred solution, soft sensing technology is a technology that uses mathematical models to predict process variables that are difficult to measure directly. Its core lies in establishing a reliable mathematical model that can predict key process variables that are difficult to measure directly, such as the multi-component concentration of sodium aluminate solution, based on easily accessible auxiliary variables such as temperature, pressure, flow, etc. It is widely used in the determination of component concentrations of sodium aluminate solution.

[0064] In a specific embodiment, various soft measurement methods include but are not limited to: fuzzy logic system, mechanism formula method, neural network, support vector machine, multivariate statistical analysis, etc.

[0065] As a preferred solution, several samples of sodium aluminate solution are prepared and are completely identical.

[0066] The first credibility analysis module for soft measurement data is used to compare the differences in the measured data between different soft measurement methods based on the data measured by each soft measurement method, and analyze the first credibility coefficients of the measured data by various soft measurement methods.

[0067] Furthermore, the specific working process of the first credibility analysis module of the soft measurement data is as follows: according to the concentration of each component of the sodium aluminate solution in each measurement by various soft measurement methods, the average value, median and mode of the concentration of each component of the sodium aluminate solution measured by various soft measurement methods are obtained, and they are respectively recorded as i represents the number of the i-th soft measurement method, i=1,2,...,n, and p represents the number of the p-th component of the sodium aluminate solution, p=1,2,...,q.

[0068] By analyzing the formula Get the first deviation coefficient of the data measured by various soft measurement methods Where n represents the number of soft-sensing methods.

[0069] Substitute the first deviation coefficient of the data measured by various soft measurement methods into the relationship function between the preset first deviation coefficient and the first credibility coefficient to obtain the first credibility coefficient of the data measured by various soft measurement methods, which is recorded as

[0070] As a preferred solution, the relationship function between the first deviation coefficient and the first credibility coefficient is a decreasing function, that is, the larger the first deviation coefficient is, the smaller the first credibility coefficient is. In a specific embodiment, the first credibility coefficient is the reciprocal of the first deviation coefficient.

[0071] The second credibility analysis module for soft measurement data is used to compare the differences in the measured data between the measurements of the same soft measurement method based on the measured data of various soft measurement methods, and analyze the second credibility coefficients of the measured data of various soft measurement methods.

[0072] Furthermore, the specific working process of the second credibility analysis module of the soft measurement data is as follows: the concentration of each component of the sodium aluminate solution in each measurement by various soft measurement methods is recorded as d ijp , j represents the number of the jth measurement, j = 1, 2, ..., m.

[0073] The maximum and minimum values ​​of the concentrations of each component of the sodium aluminate solution determined by various soft measurement methods are obtained and recorded as

[0074] By analyzing the formula Get the second deviation coefficient of the data measured by various soft measurement methods Where m represents the number of measurements, d i(j-1)p It represents the concentration of the pth component of the sodium aluminate solution in the j-1th measurement of the i-th soft measurement method, △d1 represents the preset threshold of the deviation between two adjacent measurement data, and △d2 represents the preset threshold of the difference between the maximum and minimum values ​​of the measurement data.

[0075] Substitute the second deviation coefficient of the data measured by various soft measurement methods into the relationship function between the preset second deviation coefficient and the second credibility coefficient to obtain the second credibility coefficient of the data measured by various soft measurement methods, which is recorded as

[0076] As a preferred solution, the relationship function between the second deviation coefficient and the second credibility coefficient is a decreasing function, that is, the larger the second deviation coefficient is, the smaller the second credibility coefficient is. In a specific embodiment, the second credibility coefficient is the reciprocal of the second deviation coefficient.

[0077] The soft measurement data analysis and processing module is used to analyze the credibility index of the data measured by various soft measurement methods according to the first credibility coefficient and the second credibility coefficient of the data measured by various soft measurement methods, screen various soft measurement methods with qualified credibility of the measurement data, and record them as designated soft measurement methods.

[0078] Furthermore, the specific working process of the soft measurement data analysis and processing module includes: first credibility coefficients of data measured by various soft measurement methods and the second credibility coefficient Substitute into the analysis formula The credibility index κ of the data measured by various soft measurement methods is obtained i , where μ represents the correction factor of the preset credibility index, η 1设 , η 2设 represents the threshold values ​​of the preset first credibility coefficient and the second credibility coefficient, λ1 and λ2 represent the weight factors of the preset first credibility coefficient and the second credibility coefficient respectively, and λ1+λ2=1.

[0079] As a preferred solution, the weight factors of the first credibility coefficient and the second credibility coefficient are set according to the importance of the first credibility coefficient and the second credibility coefficient in evaluating the credibility index. In a specific embodiment, the weight factors of the first credibility coefficient and the second credibility coefficient are 0.5 and 0.5 respectively.

[0080] Furthermore, the specific working process of the soft measurement data analysis and processing module also includes: comparing the credibility index of the data measured by various soft measurement methods with a preset credibility index threshold; if the credibility index of the data measured by a certain soft measurement method is greater than or equal to the preset credibility index threshold, then the credibility of the measurement data of this soft measurement method meets the standard; and counting the various soft measurement methods whose measurement data credibility meets the standard, which are recorded as designated soft measurement methods.

[0081] The module for obtaining feedback on the concentration of each component of the sodium aluminate solution is used to obtain the concentration of each component of the sodium aluminate solution in each measurement of each designated soft measurement method, analyze the reference concentration of each component of the sodium aluminate solution, and provide feedback.

[0082] Furthermore, the specific working process of the module for obtaining feedback on the concentration of each component of the sodium aluminate solution includes: screening and obtaining the concentration of each component of the sodium aluminate solution in each measurement by each specified soft measurement method according to the concentration of each component of the sodium aluminate solution in each measurement by various soft measurement methods.

[0083] See also Figure 3 As shown, a coordinate system is established with the number of measurements as the horizontal axis and the component concentration as the vertical axis. According to the concentration of each component of the sodium aluminate solution in each measurement by each specified soft measurement method, the corresponding data points are marked in the coordinate system. The mathematical model establishment method is used to draw a change trend curve of the concentration measurement results of each component of the sodium aluminate solution in each specified soft measurement method, and further draw a linear regression line of the change trend curve of the concentration measurement results of each component of the sodium aluminate solution in each specified soft measurement method, which is recorded as the change trend reference line of the concentration measurement results of each component of the sodium aluminate solution in each specified soft measurement method.

[0084] Obtain the midpoint position and the ordinates corresponding to the two end points of the reference line of the change trend of the concentration measurement results of each component of the sodium aluminate solution in each specified soft measurement method, and record them as and x represents the number of the x-th specified soft measurement method, x=1,2,...,y.

[0085] Furthermore, the specific working process of the module for obtaining feedback on the concentration of each component of the sodium aluminate solution also includes: calculating the ordinate corresponding to the midpoint position of the reference line of the change trend of the concentration measurement result of each component of the sodium aluminate solution in each specified soft measurement method Substitute into the analysis formula Obtain the baseline value of the concentration of each component of the sodium aluminate solution Where y represents the number of specified soft sensor methods.

[0086] The ordinates corresponding to the two end points of the reference line of the change trend of the concentration of each component of the sodium aluminate solution in each specified soft measurement method are Substitute into the analysis formula Get the correction value of the concentration of each component of sodium aluminate solution

[0087] The baseline value of the concentration of each component of the sodium aluminate solution Correction amount to the reference value Substitute into the analysis formula Obtain the reference concentration of each component of sodium aluminate solution And provide feedback.

[0088] It should be noted that the present invention obtains the data of each measurement by various soft measurement methods, compares the differences in the measurement data between different soft measurement methods and between each measurement by the same soft measurement method, evaluates the credibility index of the measurement data by various soft measurement methods, screens various soft measurement methods whose measurement data credibility meets the standard, further analyzes the reference concentration of each component of the sodium aluminate solution, compares and verifies the measurement data by multiple soft measurement methods, thereby improving the reliability of the measurement data and thus improving the accuracy of the measurement results of the concentrations of the components of the sodium aluminate solution.

[0089] The database is used to store threshold values ​​of the laboratory's temperature, humidity, cleanliness, and stability of an instrument placement platform.

[0090] 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 laboratory-based system for measuring the concentration of each component of an industrial solution, characterized in that: include: Laboratory experimental condition monitoring and early warning module: used to obtain the experimental condition information of the laboratory for measuring the concentration of each component of the sodium aluminate solution by soft measurement, and record it as the experimental condition information of the laboratory, where the experimental condition information includes temperature, humidity, cleanliness and stability of the instrument placement platform, to determine whether the laboratory experimental conditions meet the requirements. If not, an early warning is issued; A module for acquiring data from various soft measurement methods: used to measure the concentration of each component of the sodium aluminate solution sample for a set number of times through various soft measurement methods, obtain the data of each measurement by various soft measurement methods, and obtain the concentration of each component of the sodium aluminate solution in each measurement by various soft measurement methods; The first credibility analysis module of the soft measurement data is used to compare the differences of the measured data between different soft measurement methods according to the data measured by various soft measurement methods, and analyze the first credibility coefficients of the measured data of various soft measurement methods; The second credibility analysis module of the soft measurement data is used to compare the difference of the measured data between the various measurements of the same soft measurement method according to the measured data of various soft measurement methods, and analyze the second credibility coefficient of the measured data of various soft measurement methods; Soft measurement data analysis and processing module: used to analyze the credibility index of the data measured by various soft measurement methods according to the first credibility coefficient and the second credibility coefficient of the data measured by various soft measurement methods, screen various soft measurement methods whose credibility of the measurement data meets the standard, and record them as designated soft measurement methods; Concentration acquisition and feedback module of each component of sodium aluminate solution: used to obtain the concentration of each component of sodium aluminate solution in each measurement of each specified soft measurement method, analyze the reference concentration of each component of sodium aluminate solution, and provide feedback; Database: used to store the thresholds of laboratory temperature, humidity, cleanliness and instrument placement platform stability; The specific working process of the laboratory experimental condition monitoring and early warning module includes: According to the preset principle, various monitoring points are arranged in the laboratory, and the temperature and humidity of each monitoring point in the laboratory are detected by temperature and humidity sensors. The temperatures of the monitoring points in the laboratory are compared with each other to obtain the highest temperature of the monitoring points in the laboratory, which is recorded as the temperature of the laboratory and expressed as T. Similarly, the highest humidity of the monitoring points in the laboratory is obtained, which is recorded as the humidity of the laboratory and expressed as H. The dust concentration of each monitoring point in the laboratory is obtained by a dust measuring instrument, and the maximum value of the dust concentration of the monitoring points in the laboratory is obtained, which is recorded as the dust concentration of the laboratory, and is substituted into the preset relationship function between the dust concentration and the cleanliness to obtain the cleanliness of the laboratory, which is recorded as β; The equipment required for obtaining auxiliary variables in the soft measurement method for determining the concentration of each component of the sodium aluminate solution is obtained, and it is recorded as each designated equipment. The vibration frequency and vibration amplitude of each designated equipment placement platform under the set load are obtained through the accelerometers arranged on the surface of each designated equipment placement platform, which are recorded as f a , b a , a represents the number of the ath designated device, a=1,2,...,c, through the analysis formula The stability of the laboratory instrument placement platform δ is obtained, where ε represents the correction factor of the preset instrument placement platform stability, e represents the natural constant, and f 设 , b 设 They respectively represent the threshold values ​​of the vibration frequency and vibration amplitude of the platform where the specified equipment is placed under the preset set load; The specific working process of the laboratory experimental condition monitoring and early warning module also includes: Extract the thresholds of the laboratory's temperature, humidity, cleanliness, and instrument placement platform stability stored in the database and record them as T′, H′, β′, δ′ respectively; Substitute the laboratory temperature T, humidity H, cleanliness β, and instrument placement platform stability δ into the analysis formula The laboratory experimental conditions meet the coefficient φ, where Respectively represent the weight factors of preset temperature, humidity, cleanliness and stability of the instrument placement platform, The specific working process of the laboratory experimental condition monitoring and early warning module also includes: Compare the laboratory's experimental condition compliance coefficient with the preset experimental condition compliance coefficient threshold. If the laboratory's experimental condition compliance coefficient is less than the preset experimental condition compliance coefficient threshold, the laboratory's experimental condition does not meet the requirements and an early warning is issued. The specific working process of the first credibility analysis module of the soft measurement data is as follows: According to the concentration of each component of the sodium aluminate solution measured by various soft measurement methods, the average value, median and mode of the concentration of each component of the sodium aluminate solution measured by various soft measurement methods are obtained, which are recorded as i represents the number of the i-th soft measurement method, i = 1, 2, ..., n, p represents the number of the p-th component of the sodium aluminate solution, p = 1, 2, ..., q; By analyzing the formula Get the first deviation coefficient of the data measured by various soft measurement methods Where n represents the number of soft measurement methods; Substitute the first deviation coefficient of the data measured by various soft measurement methods into the relationship function between the preset first deviation coefficient and the first credibility coefficient to obtain the first credibility coefficient of the data measured by various soft measurement methods, which is recorded as The specific working process of the second credibility analysis module of the soft measurement data is as follows: The concentration of each component of the sodium aluminate solution in each measurement using various soft-sensing methods is recorded as d ijp , j represents the number of the jth measurement, j = 1, 2, ..., m; The maximum and minimum values ​​of the concentrations of each component of the sodium aluminate solution determined by various soft measurement methods are obtained and recorded as By analyzing the formula Get the second deviation coefficient of the data measured by various soft measurement methods Where m represents the number of measurements, d i (j-1) p represents the concentration of the pth component of the sodium aluminate solution in the j-1th measurement of the i-th soft measurement method, Δd1 represents the threshold of the deviation between two adjacent measurement data, and Δd2 represents the threshold of the difference between the maximum and minimum values ​​of the preset measurement data; Substitute the second deviation coefficient of the data measured by various soft measurement methods into the relationship function between the preset second deviation coefficient and the second credibility coefficient to obtain the second credibility coefficient of the data measured by various soft measurement methods, which is recorded as The specific working process of the soft measurement data analysis and processing module includes: The first credibility coefficient of data measured by various soft measurement methods and the second credibility coefficient Substitute into the analysis formula The credibility index κ of the data measured by various soft measurement methods is obtained i , where μ represents the correction factor of the preset credibility index, η 1设 , η 2设 represents the thresholds of the preset first credibility coefficient and the second credibility coefficient, λ1 and λ2 represent the weight factors of the preset first credibility coefficient and the second credibility coefficient respectively, λ1+λ2=1; The specific working process of the soft measurement data analysis and processing module also includes: Compare the credibility index of the data measured by various soft measurement methods with the preset credibility index threshold value. If the credibility index of the data measured by a certain soft measurement method is greater than or equal to the preset credibility index threshold value, the credibility of the measured data of this soft measurement method meets the standard. Count the various soft measurement methods whose credibility of measured data meets the standard and record them as designated soft measurement methods. The specific working process of the module for obtaining feedback on the concentration of each component of the sodium aluminate solution includes: According to the concentration of each component of the sodium aluminate solution in each measurement by various soft measurement methods, the concentration of each component of the sodium aluminate solution in each measurement by each designated soft measurement method is screened and obtained; A coordinate system is established with the number of measurements as the horizontal axis and the component concentration as the vertical axis. According to the concentration of each component of the sodium aluminate solution in each measurement by each designated soft measurement method, the corresponding data points are marked in the coordinate system. The change trend curve of the concentration measurement results of each component of the sodium aluminate solution in each designated soft measurement method is drawn by using the mathematical model establishment method. The linear regression line of the change trend curve of the concentration measurement results of each component of the sodium aluminate solution in each designated soft measurement method is further drawn, and it is recorded as the change trend reference line of the concentration measurement results of each component of the sodium aluminate solution in each designated soft measurement method. Obtain the midpoint position and the ordinates corresponding to the two end points of the reference line of the change trend of the concentration measurement results of each component of the sodium aluminate solution in each specified soft measurement method, and record them as and x represents the number of the x-th specified soft measurement method, x = 1, 2, ..., y; The specific working process of the module for obtaining feedback on the concentration of each component of the sodium aluminate solution also includes: The ordinate corresponding to the midpoint of the reference line of the change trend of the concentration measurement results of each component of the sodium aluminate solution in each specified soft measurement method Substitute into the analysis formula Obtain the baseline value of the concentration of each component of the sodium aluminate solution Where y represents the number of specified soft measurement methods; The ordinates corresponding to the two end points of the reference line of the change trend of the concentration of each component of the sodium aluminate solution in each specified soft measurement method are Substitute into the analysis formula Get the correction value of the concentration of each component of sodium aluminate solution The baseline value of the concentration of each component of the sodium aluminate solution Correction amount to the reference value Substitute into the analysis formula Obtain the reference concentration of each component of sodium aluminate solution And provide feedback.

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