Aerogel production flow control method and system based on online monitoring

Through online monitoring and physical performance testing, the physical performance function of the aerogel is established and the appropriate addition flow ratio is optimized and selected, which solves the problem that the impact of raw material addition on the aerogel performance in the prior art is not determined, and the production of aerogel products that meet the requirements is achieved, which improves performance and reduces costs.

CN119739211AInactive Publication Date: 2025-04-01JIANGSU ANJIA ADVANCED MATERIALS TECH CO LTD +2
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Patent Information

Application Number
CN202510245792.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-04
Publication Date
2025-04-01
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The prior art cannot determine the impact of the addition of various raw materials on the aerogel performance during the production process, and cannot select appropriate raw material ratios based on these influences to produce aerogel products that meet the requirements.

Method used

Through online monitoring, obtain the addition flow ratio of various raw materials in the production process of multiple test batches of aerogels, conduct physical performance tests, determine the physical performance scores of aerogel samples in each test batch, establish physical performance functions, set the constraints and objective functions of the flow control model, and optimize to obtain appropriate addition flow ratios.

Benefits of technology

Based on the relationship between the physical properties of the aerogel and the added flow ratio, the appropriate added flow ratio is optimized and selected to produce aerogel products that meet the requirements, which improves the performance of the aerogel products and reduces the cost of production testing.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention provides an aerogel production flow control method and system based on online monitoring, which relates to the technical field of production control. The method includes: obtaining a first addition flow ratio, a second addition flow ratio and a third addition flow ratio; randomly sampling to obtain an aerogel sample, and performing a physical property test to obtain a physical property score; determining a physical property function between the physical property score and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio, and setting constraints and an objective function to solve the optimized first addition flow ratio, the second addition flow ratio and the third addition flow ratio. According to the present invention, the relationship between the physical properties of the aerogel and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be determined, so that a suitable addition flow ratio can be selected based on the required physical properties, and an aerogel product that meets the requirements can be produced, which is beneficial to improving the performance of the aerogel product and reducing the cost of production testing.
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Description

Technical Field

[0001] The present invention relates to the technical field of production control, and in particular to an aerogel production flow control method and system based on online monitoring. Background Art

[0002] In the related art, CN118244617A discloses an aerogel preparation system based on fuzzy PID algorithm, including a controller module, a data acquisition module, a fuzzy PID control module, a switch execution module, a communication module and an auxiliary module connected to the controller module; the data acquisition module includes a multi-channel analog-to-digital conversion module connected to the controller module and multiple sensors connected to the multi-channel analog-to-digital conversion module; the fuzzy PID control module includes a fuzzy PID algorithm control steering gear connected to the controller module and multiple steering gears; the switch execution module includes a relay module and a switch device connected to the controller module; the controller module is used to execute the fuzzy PID algorithm. This solution can effectively realize the precise control of the fuzzy PID algorithm, collect and automatically process various parameter data in real time, automatically adjust various valves and switches to realize precise aerogel preparation process control, and improve aerogel preparation efficiency and product performance.

[0003] CN115599048A discloses a learning decision-making method for batch production process of aerogel-based thermal insulation materials, which belongs to the field of aerogel processing. In particular, it relates to a method for parameter decision-making and adjustment in case of quality abnormalities during processing. Step one: establishment of an initial parameter library; step two: construction of a failure model; step three: construction of failure form control measures; step four: forming data interaction between the quality inspection system and the production system, and the production equipment performs data acquisition for quality inspection; and performs self-debugging and verification, saving the debugging production cycle, and being able to summarize the defects formed in the early stages of research and development, trial production, small batches, etc. to form a library, providing technical support for mass production, and used for equipment system selection decisions.

[0004] Therefore, in the related art, although it is possible to perform process control during the aerogel production process and build a quality model based on production parameters, it is impossible to determine the impact of the addition of various raw materials during the aerogel production process on the performance of the aerogel, nor is it possible to select an appropriate raw material ratio based on these impacts to produce an aerogel product that meets the requirements.

[0005] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0006] The present invention provides an aerogel production flow control method and system based on online monitoring, which can solve the technical problem that the related art cannot determine the influence of the addition of various raw materials on the performance of the aerogel during the production process of the aerogel.

[0007] According to a first aspect of the present invention, there is provided an aerogel production flow control method based on online monitoring, comprising:

[0008] Obtaining a first addition flow ratio of various raw materials, a second addition flow ratio of the total addition flow of the raw materials to the catalyst, and a third addition flow ratio of the total addition flow of the raw materials to the solvent during the production process of multiple test batches of aerogels;

[0009] Randomly sampling aerogel finished products from multiple test batches to obtain aerogel samples from multiple test batches;

[0010] Performing physical property tests on aerogel samples of each test batch to determine multiple physical property scores of aerogel samples of each test batch, wherein the physical property tests include density tests, thermal insulation performance tests, and adsorption performance tests;

[0011] Determine a physical property function corresponding to various physical property scores according to the physical property scores of the aerogel samples of each test batch, and the first addition flow ratio, the second addition flow ratio, and the third addition flow ratio of each test batch, wherein the physical property function is used to represent the relationship between the physical property score and the first addition flow ratio, the second addition flow ratio, and the third addition flow ratio;

[0012] According to the physical performance functions corresponding to various physical performance scores, the constraints of the flow control model are set;

[0013] Determine the objective function of the flow control model according to the physical performance functions corresponding to the various physical performance scores and the preset target physical performance scores;

[0014] Solving the flow control model according to the constraint conditions and the objective function to obtain an optimized first addition flow ratio, an optimized second addition flow ratio, and an optimized third addition flow ratio;

[0015] Aerogel products are produced according to the optimized first addition flow ratio, the optimized second addition flow ratio and the optimized third addition flow ratio.

[0016] According to a second aspect of the present invention, there is provided an aerogel production flow control system based on online monitoring, comprising:

[0017] A first acquisition module is used to obtain a first addition flow ratio of various raw materials in the production process of multiple test batches of aerogels, a second addition flow ratio of the total addition flow of the raw materials to the catalyst, and a third addition flow ratio of the total addition flow of the raw materials to the solvent;

[0018] A sampling module, used for randomly sampling aerogel finished products of multiple test batches to obtain aerogel samples of multiple test batches;

[0019] A physical property scoring module, used to perform physical property tests on aerogel samples of each test batch, and determine multiple physical property scores of aerogel samples of each test batch, wherein the physical property tests include density tests, thermal insulation performance tests, and adsorption performance tests;

[0020] A physical property function module, used to determine physical property functions corresponding to various physical property scores according to the physical property scores of the aerogel samples of each test batch, and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio of each test batch, wherein the physical property function is used to represent the relationship between the physical property score and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio;

[0021] A constraint condition module is used to set the constraint conditions of the flow control model according to the physical performance functions corresponding to various physical performance scores;

[0022] An objective function module, used to determine the objective function of the flow control model according to the physical performance functions corresponding to various physical performance scores and the preset target physical performance scores;

[0023] A solution module, used for solving the flow control model according to the constraint conditions and the objective function to obtain an optimized first addition flow ratio, an optimized second addition flow ratio and an optimized third addition flow ratio;

[0024] The production module is used to produce aerogel products according to the optimized first addition flow ratio, the optimized second addition flow ratio and the optimized third addition flow ratio.

[0025] By adopting the above technical solution, the present invention can achieve the following technical effects:

[0026] According to the present invention, different first addition flow ratios, second addition flow ratios and third addition flow ratios can be used in multiple test batches to produce aerogel samples with different physical property scores, and then the relationship between the physical properties of the aerogel and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be determined, so that a suitable addition flow ratio can be selected based on the required physical properties, so that an aerogel product that meets the requirements can be produced, which is conducive to improving the performance of the aerogel product and reducing the cost of production testing. When determining the density score, a piecewise function can be set to indicate whether each aerogel sample meets the qualified standard in terms of density. If the qualified standard is not met, the relative deviation between the measured density and the preset density can be used to calculate the density score, and then averaged to obtain the density score of the aerogel sample of a test batch, which can accurately and objectively represent the overall quality level of the aerogel samples of the test batch in terms of density. When determining the thermal insulation performance score, the thermal conductivity of the aerogel sample can be determined by the relative change in temperature of the detection point before and after heating, and then the thermal insulation performance of the aerogel sample can be determined, thereby improving the accuracy and objectivity of the thermal insulation performance score. When determining the adsorption performance score, the chemical agent can be adsorbed by the aerogel sample, and the relative change in the concentration of the chemical agent before and after the adsorption can be detected to obtain the adsorption performance score, thereby accurately and objectively describing the adsorption performance of the aerogel sample. When determining the physical performance function, a univariate polynomial can be used as the undetermined coefficient equation to make the relationship between the physical performance score and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio simple and intuitive, so that the relationship between the physical performance score and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be expressed based on a number of measured data, providing a data basis for the production of aerogel products with target physical properties. When setting constraints, constraints can be set based on the physical performance function, the numerical range of the undetermined value of the first addition flow ratio, the undetermined value of the second addition flow ratio and the undetermined value of the third addition flow ratio, and the lower limit of the predicted value of the density score, the predicted value of the thermal insulation performance score and the predicted value of the adsorption performance score, so that when solving the optimal solution of the first addition flow ratio, the second addition flow ratio and the third addition flow ratio, the target performance can be achieved while keeping the physical properties of other aspects above the lower limit level, thereby ensuring the basic physical properties. When determining the objective function, the gap between the physical property score consistent with the type of the target physical property score and the target physical property score can be minimized, so that the aerogel product can achieve the target performance, and at the same time, multiple physical properties of the aerogel product can reach above the qualified level, so that the first addition flow rate ratio, the second addition flow rate ratio and the third addition flow rate ratio in the production process of the aerogel suitable for a specific application scenario can be quickly determined, thereby reducing the time and cost required for the research and development and production of aerogel products suitable for a specific application scenario.

[0027] It should be understood that the above general description and the following detailed description are exemplary and explanatory only and do not limit the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other embodiments can be obtained based on these drawings without creative work.

[0029] Figure 1 A schematic diagram of a flow chart of an aerogel production flow control method based on online monitoring according to an embodiment of the present invention is exemplarily shown;

[0030] Figure 2 A block diagram of an aerogel production flow control system based on online monitoring according to an embodiment of the present invention is exemplarily shown. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0032] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0033] Figure 1 A flow chart of an aerogel production flow control method based on online monitoring according to an embodiment of the present invention is exemplarily shown, and the method comprises:

[0034] Step S101, obtaining a first addition flow ratio of various raw materials, a second addition flow ratio of the total addition flow of the raw materials to the catalyst, and a third addition flow ratio of the total addition flow of the raw materials to the solvent in the production process of multiple test batches of aerogels;

[0035] Step S102, randomly sampling aerogel finished products of multiple test batches to obtain aerogel samples of multiple test batches;

[0036] Step S103, performing physical property tests on aerogel samples of each test batch to determine multiple physical property scores of aerogel samples of each test batch, wherein the physical property tests include density tests, thermal insulation performance tests, and adsorption performance tests;

[0037] Step S104, determining physical property functions corresponding to various physical property scores according to the physical property scores of the aerogel samples of each test batch, and the first addition flow ratio, the second addition flow ratio, and the third addition flow ratio of each test batch, wherein the physical property function is used to represent the relationship between the physical property score and the first addition flow ratio, the second addition flow ratio, and the third addition flow ratio;

[0038] Step S105, setting constraints of the flow control model according to the physical performance functions corresponding to the various physical performance scores;

[0039] Step S106, determining the objective function of the flow control model according to the physical performance functions corresponding to the various physical performance scores and the preset target physical performance scores;

[0040] Step S107, solving the flow control model according to the constraint conditions and the objective function to obtain an optimized first addition flow ratio, an optimized second addition flow ratio and an optimized third addition flow ratio;

[0041] Step S108, producing an aerogel product according to the optimized first addition flow ratio, the optimized second addition flow ratio and the optimized third addition flow ratio.

[0042] According to the aerogel production flow control method based on online monitoring of an embodiment of the present invention, different first addition flow ratios, second addition flow ratios and third addition flow ratios can be used in multiple test batches to produce aerogel samples with different physical property scores, and then the relationship between the physical properties of the aerogel and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be determined, so that a suitable addition flow ratio can be selected based on the required physical properties, so that aerogel products that meet the requirements can be produced, which is beneficial to improving the performance of aerogel products and reducing the cost of production testing.

[0043] According to one embodiment of the present invention, in step S101, the test batch may be a historical production batch, and the first addition flow ratio, the second addition flow ratio, the third addition flow ratio and the physical property score may be data recorded in the production process of multiple historical production batches in the past, without the need for separate tests. Of course, separate tests may also be performed, for example, multiple first addition flow ratios, second addition flow ratios and third addition flow ratios may be selected for production tests, and the physical property scores of each test batch may be determined. The present invention does not limit whether separate tests are performed.

[0044] According to one embodiment of the present invention, the first addition flow ratio is the addition flow ratio of various raw materials. For example, a certain aerogel requires three raw materials, and the usage ratio of the three raw materials is X:Y:Z, then the first addition flow ratio is also X:Y:Z. The second addition flow ratio is the flow ratio between the total addition flow of the raw materials and the addition flow of the catalyst. For example, the total usage of the raw materials is X+Y+Z, and the total usage of the catalyst is A, then the second addition flow ratio is (X+Y+Z):A. The third addition flow ratio is the flow ratio between the total addition flow of the raw materials and the addition flow of the solution. For example, the total usage of the raw materials is X+Y+Z, and the total usage of the solvent is B, then the third addition flow ratio is (X+Y+Z):B.

[0045] According to one embodiment of the present invention, in step S102, each test batch may produce aerogel finished products, and the aerogel finished products of each test batch may be randomly sampled to obtain aerogel samples of each test batch.

[0046] According to one embodiment of the present invention, in step S103, the first addition flow rate ratio, the second addition flow rate ratio and the third addition flow rate ratio used in the production of each test batch of aerogel samples are different from each other, so that the physical properties of each batch of aerogel samples are different from each other, and the physical properties of each test batch of aerogel samples can be tested separately to determine the physical property scores of multiple aspects. That is, the physical property test includes a density test, a thermal insulation performance test and an adsorption performance test, and the physical property score includes the density score, thermal insulation performance score and adsorption performance score of each test batch of aerogel samples.

[0047] According to one embodiment of the present invention, physical property tests are performed on aerogel samples of each test batch to determine multiple physical property scores of aerogel samples of each test batch, including: determining the measured density of aerogel samples of each test batch; determining the density score of aerogel samples of each test batch according to the measured density and the preset density of the aerogel product; selecting multiple heating points on one side of the aerogel sample, and heating the heating points using a heating device with a set temperature; obtaining measured temperature data at the detection point on the other side of the aerogel sample through a temperature sensor at the start and end of the heating, wherein the heating The position coordinates of the point on one side of the aerogel sample are consistent with the position coordinates of the detection point on the other side of the aerogel sample; the thermal insulation performance score of the aerogel samples of each test batch is determined according to the measured temperature data at multiple detection points of the multiple aerogel samples; the aerogel samples are placed in a chemical solution of a predetermined mass, wherein the chemical solution contains a preset type of chemical agent, and the concentration of the chemical agent is a preset concentration; after a preset time, the aerogel samples are taken out, and the test concentration of the chemical agent in the chemical solution is detected; according to the preset concentration and the test concentration, the adsorption performance score of the aerogel samples of each test batch is determined.

[0048] According to one embodiment of the present invention, the measured density of each aerogel sample can be tested separately. For example, the volume of the aerogel sample can be determined by using a water displacement method, and then the mass of the aerogel sample can be weighed to determine the density of the aerogel sample.

[0049] According to one embodiment of the present invention, the density score of each test batch of aerogel samples is determined according to the measured density and the preset density of the aerogel product, including: determining the density score of the aerogel sample of the i-th test batch according to formula (1) and formula (2): ,

[0050] (1)

[0051] (2)

[0052] in, is the measured density of the jth aerogel sample in the i-th test batch, For the preset density, is the density fraction of the jth aerogel sample in the ith test batch, n is the number of aerogel samples in each test batch, j≤n, and j, i and n are all positive integers.

[0053] According to one embodiment of the present invention, in formula (1), when the measured density of the aerogel sample is less than or equal to the preset density, the density fraction is 1, otherwise, the density fraction is Aerogel has the characteristic of low density. If its density is too high, it does not meet the qualified standard in terms of density. If the measured density is less than or equal to the preset density, it is determined that the aerogel sample meets the qualified standard in terms of density, and the density score is 1. If the measured density is greater than the preset density, the density score is less than 1, and the greater the measured density is than the preset density, the lower the density score. It is the relative deviation between the measured density and the preset density, which can be used as the amplitude by which the measured density is greater than the preset density. The larger the measured density, the larger the amplitude and the lower the density score.

[0054] According to one embodiment of the present invention, in formula (2), the density scores of multiple aerogel samples of a test batch can be obtained and averaged to obtain the density score of the aerogel samples of the test batch, which is used to represent the overall quality level of the aerogel samples of the test batch in terms of density. The higher the density score, the higher the overall quality level.

[0055] In this way, a piecewise function can be set to indicate whether each aerogel sample meets the qualified standard in terms of density. If the qualified standard is not met, the relative deviation between the measured density and the preset density can be used to calculate the density score, and then averaged to obtain the density score of a test batch of aerogel samples, which can accurately and objectively indicate the overall quality level of the aerogel samples in the test batch in terms of density.

[0056] According to one embodiment of the present invention, the aerogel sample can be a plate-shaped sample, and multiple heating points are selected on one side of the plate-shaped sample, and a heating device with a set temperature is used to heat it. For example, the temperature of the heating device can be set in combination with the actual use conditions of the aerogel product. In the example, the aerogel product is used to isolate the power battery unit, so as to reduce the impact on other power battery units when a power battery unit leaks and catches fire. In this case, the set temperature can be determined as the temperature when the power battery unit leaks and catches fire, and an electric heating device can be used to heat multiple heating points for a period of time.

[0057] According to one embodiment of the present invention, at the beginning of heating, a temperature sensor (e.g., an infrared temperature sensor) is used to detect the measured temperature data of each detection point, which can be used as the initial temperature before heating begins, and at the end of the heating period, the measured temperature data of each detection point is detected again. If the thermal insulation effect of the aerogel sample is good, the difference between the measured temperature data obtained by the two temperature measurements should be small. Otherwise, under the heating of the heating device, if the thermal insulation effect of the aerogel sample is not good, the temperature of the detection point opposite the heating point will also increase significantly under the heat conduction of the aerogel sample, resulting in a large difference between the measured temperature data obtained by the two temperature measurements. In addition, for the accuracy of the test, multiple heating points and detection points are selected on each aerogel sample for testing.

[0058] According to one embodiment of the present invention, the thermal insulation performance score of each test batch of aerogel samples is determined based on the measured temperature data at multiple detection points of multiple aerogel samples, including: determining the thermal insulation performance score of the aerogel sample of the i-th test batch according to formula (3): ,

[0059] (3)

[0060] in, is the measured temperature data of the kth detection point of the jth aerogel sample of the i-th test batch at the start of heating, is the measured temperature data of the kth detection point of the jth aerogel sample of the ith test batch at the end of heating, n is the number of aerogel samples in each test batch, m is the number of detection points on each aerogel sample, j≤n, k≤m, and k, j, i, m and n are all positive integers.

[0061] According to one embodiment of the present invention, in formula (3), It indicates the relative change between the measured temperature data at the start of heating and the measured temperature data at the end of heating. If the insulation effect is good, the relative change is small. On the contrary, if the insulation effect is poor, the relative change is large. It indicates the degree of proximity between the measured temperature data at the start of heating and the measured temperature data at the end of heating at the kth detection point of the jth aerogel sample in the i-th test batch, and can also indicate the thermal insulation effect at the detection point. The higher the degree of proximity, the better the thermal insulation effect at the detection point. In order to average the thermal insulation effect at multiple test points on an aerogel sample, It means that the thermal insulation effects at all test points of a test batch of aerogel samples are averaged to obtain the thermal insulation performance score of the test batch of aerogel samples. The higher the thermal insulation performance score, the better the thermal insulation performance of the test batch of aerogel samples.

[0062] In this way, the thermal conductivity of the aerogel sample can be determined by the relative temperature change of the detection point before and after heating, and then the thermal insulation performance of the aerogel sample can be determined, thereby improving the accuracy and objectivity of the thermal insulation performance scoring.

[0063] According to one embodiment of the present invention, when testing the adsorption performance of an aerogel sample, a chemical solution of a predetermined mass may be used. The chemical solution contains a chemical agent of a preset concentration. The aerogel sample may be used to adsorb the chemical agent so that the concentration of the chemical agent in the chemical solution is reduced. If the concentration is reduced by a large amount, it indicates that the adsorption performance of the aerogel sample is good.

[0064] According to one embodiment of the present invention, the adsorption performance score of each test batch of aerogel samples is determined according to the preset concentration and the test concentration, including: determining the adsorption performance score of the aerogel sample of the i-th test batch according to formula (4): ,

[0065] (4)

[0066] in, is the preset concentration, is the test concentration of the chemical agent in the chemical solution placed in the jth aerogel sample of the ith test batch, n is the number of aerogel samples in each test batch, j≤n, j and n are both positive integers.

[0067] According to one embodiment of the present invention, It can represent the relative change in the concentration of a chemical after adsorption by an aerogel sample, that is, the degree of concentration reduction. The degree of concentration reduction of the chemical after adsorption by multiple aerogel samples can be averaged to obtain the adsorption performance score of the aerogel samples in the test batch. The higher the adsorption performance score, the stronger the adsorption capacity of the aerogel sample.

[0068] In this way, aerogel samples can be used to adsorb chemicals, and the relative change in concentration of the chemicals before and after adsorption can be detected to obtain an adsorption performance score, thereby accurately and objectively describing the adsorption performance of the aerogel samples.

[0069] According to one embodiment of the present invention, in step S104, the first addition flow ratio, the second addition flow ratio and the third addition flow ratio of each test batch are different from each other, so that the contents of various substances in the aerogel samples of each test batch are different from each other, thereby causing the physical properties of the aerogel samples of each test batch to be different from each other. The relationship between the physical properties of the aerogel samples of each test batch and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be determined by the physical property scores of each test batch obtained above.

[0070] According to one embodiment of the present invention, the physical property functions corresponding to the various physical property scores are determined according to the physical property scores of the aerogel samples of each test batch, and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio of each test batch, including: determining the first undetermined coefficient equation of the physical property function corresponding to the density score, the second undetermined coefficient equation of the physical property function corresponding to the thermal insulation performance score, and the third undetermined coefficient equation of the physical property function corresponding to the adsorption performance score according to formula (5), formula (6) and formula (7),

[0071] (5)

[0072] (6)

[0073] (7)

[0074] in, is the density score of the aerogel sample of the i-th test batch, is the thermal insulation performance score of the aerogel samples of the i-th test batch, Score the adsorption performance of the aerogel samples in the i-th test batch, is the first addition flow rate ratio of the hth raw material in the i-th test batch, is the second addition flow rate ratio of the i-th test batch, is the third addition flow rate ratio of the i-th test batch, N is the number of types of raw materials, h≤N, and h and N are both positive integers, , , , , , , , , , , and is the undetermined coefficient; according to the thermal insulation performance score, adsorption performance score, density score, first addition flow ratio, second addition flow ratio and third addition flow ratio of the aerogel samples of each test batch, the undetermined coefficient is solved to obtain the solution value of the undetermined coefficient; according to the solution value of the undetermined coefficient, and the first undetermined coefficient equation, the second undetermined coefficient equation and the third undetermined coefficient equation, the physical property function is determined.

[0075] According to one embodiment of the present invention, formulas (5), (6) and (7) are all equations of undetermined coefficients set based on the physical property scores of aerogel samples of each test batch and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio. In addition, in order to simply and intuitively express the relationship between these data, a polynomial can be used as the equation of undetermined coefficients, and the physical property scores of each test batch, the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be used as known quantities, and the undetermined coefficients can be used as unknown quantities, so that the physical property scores of multiple test batches and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be used to solve multiple undetermined coefficients respectively to obtain the solution values ​​of the undetermined coefficients. After substituting the solution values ​​of the undetermined coefficients into the above-mentioned undetermined coefficient equations, the relationship between various physical property scores and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be obtained, that is, the physical property function. After determining the physical property function, any first addition flow ratio, second addition flow ratio and third addition flow ratio can be input to predict the physical properties that can be achieved by the aerogel product manufactured using the first addition flow ratio, second addition flow ratio and third addition flow ratio.

[0076] In this way, a polynomial can be used as an equation with unknown coefficients to make the relationship between the physical property score and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio simple and intuitive, so that the relationship between the physical property score and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be expressed based on a number of measured data, providing a data basis for the production of aerogel products with target physical properties.

[0077] According to one embodiment of the present invention, in step S105, the flow control model is an optimization model such as a genetic algorithm model, a linear programming model, etc., which can solve the optimal solution that can maximize the realization of the target described by the objective function under the constraints. The optimal solution obtained is the optimal values ​​of the first addition flow ratio, the second addition flow ratio and the third addition flow ratio, that is, the optimized first addition flow ratio, the optimized second addition flow ratio and the optimized third addition flow ratio.

[0078] According to an embodiment of the present invention, the constraint conditions of the flow control model are set according to the physical performance functions corresponding to the various physical performance scores, including: setting the constraint conditions of the flow control model according to formula (8), formula (9), formula (10), formula (11), formula (12), formula (13), formula (14), formula (15), and formula (16),

[0079] (8)

[0080] (9)

[0081] (10)

[0082] (11)

[0083] (12)

[0084] (13)

[0085] (14)

[0086] (15)

[0087] (16)

[0088] in, is the undetermined value of the first addition flow rate ratio of the hth raw material, Add the undetermined value of the flow ratio for the second, Add the undetermined value of the flow ratio for the third, is the predicted value of the density score, is the predicted value of the thermal insulation performance score, is the predicted value of the adsorption performance score, is the maximum value of the first addition flow rate ratio of the preset h-th raw material, The maximum value of the preset second added flow ratio, The maximum value of the preset third added flow ratio, is the minimum value of the preset density score, is the minimum value of the preset thermal insulation performance score, is the minimum value of the preset adsorption performance score, for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of .

[0089] According to one embodiment of the present invention, formula (8), formula (9) and formula (10) are constraints determined according to the physical performance function, that is, after substituting the undetermined value of the first addition flow ratio, the undetermined value of the second addition flow ratio and the undetermined value of the third addition flow ratio into each physical performance function, the predicted values ​​of various physical performance scores under the set of undetermined values ​​can be obtained, that is, the predicted value of the density score, the predicted value of the adsorption performance score and the predicted value of the thermal insulation performance score, so that the predicted value of the density score, the predicted value of the adsorption performance score and the predicted value of the thermal insulation performance score can be used for subsequent calculations.

[0090] According to one embodiment of the present invention, formula (11), formula (12) and formula (13) are used to describe the numerical ranges of the undetermined value of the first addition flow ratio, the undetermined value of the second addition flow ratio and the undetermined value of the third addition flow ratio. That is, the numerical ranges of these three need to be controlled within a certain range to enable the successful production of aerogel products, and the above three undetermined values ​​cannot be adjusted indefinitely.

[0091] According to one embodiment of the present invention, formula (14), formula (15) and formula (16) respectively set the lower limits of the predicted value of the density score, the predicted value of the thermal insulation performance score and the predicted value of the adsorption performance score. When adjusting the pending value of the first addition flow ratio, the pending value of the second addition flow ratio and the pending value of the third addition flow ratio, the physical performance score of a certain aspect obtained based on the three pending values ​​can be made higher. That is, during the adjustment, the physical performance scores of some aspects can be sacrificed while focusing on improving the physical performance scores of other aspects. However, the physical performance score of each aspect needs to be kept above the minimum value to ensure basic physical performance.

[0092] In this way, constraints can be set based on the physical performance function, the numerical ranges of the pending values ​​of the first addition flow ratio, the pending value of the second addition flow ratio and the pending value of the third addition flow ratio, and the lower limits of the predicted values ​​of the density score, the predicted values ​​of the thermal insulation performance score and the predicted values ​​of the adsorption performance score. Therefore, when solving the optimal solutions of the first addition flow ratio, the second addition flow ratio and the third addition flow ratio, the target performance can be achieved while keeping other aspects of physical performance above the lower limit level, thereby ensuring basic physical performance.

[0093] According to an embodiment of the present invention, in step S106, the objective function of the flow control model is determined according to the physical performance functions corresponding to the various physical performance scores and the preset target physical performance scores, including: determining the objective function of the flow control model according to formula (17),

[0094] (17)

[0095] in, Score any type of target physical property, for , and One of The type of is consistent with the type of the target physical performance score, and min is the minimum value function.

[0096] According to one embodiment of the present invention, formula (17) is used as the objective function to minimize the gap between the physical performance score consistent with the type of the target physical performance score and the target physical performance score, so that the aerogel product can achieve the target performance. Moreover, based on the above constraints, the aerogel product can achieve the target performance while maintaining the qualified level of physical performance in other aspects. Thus, on the basis of all the performances of the product being qualified, one or more physical performances of the aerogel product can be made more prominent, thereby meeting the needs of specific application scenarios, and providing a data basis for the research and development and production process of producing suitable aerogels for specific application scenarios, reducing the research and development and testing costs, and obtaining the optimal solutions of the first addition flow ratio, the second addition flow ratio, and the third addition flow ratio.

[0097] In this way, the gap between the physical property score consistent with the type of the target physical property score and the target physical property score can be minimized, so that the aerogel product can achieve the target performance, and at the same time, multiple physical properties of the aerogel product are above the qualified level, so that the first addition flow rate ratio, the second addition flow rate ratio and the third addition flow rate ratio in the production process of the aerogel suitable for a specific application scenario can be quickly determined.

[0098] According to one embodiment of the present invention, in step S107, the flow control model can be solved based on the above-mentioned constraints and objective function to obtain the optimal solutions of the first addition flow ratio, the second addition flow ratio and the third addition flow ratio, that is, the optimized first addition flow ratio, the optimized second addition flow ratio and the optimized third addition flow ratio.

[0099] According to one embodiment of the present invention, in step S108, an aerogel product can be produced based on the optimized first addition flow ratio, the optimized second addition flow ratio, and the optimized third addition flow ratio, so that the physical properties of the aerogel product meet the requirements, are suitable for specific application scenarios, and can reduce the time and cost required for the research and development and production of aerogel products suitable for specific application scenarios.

[0100] According to the aerogel production flow control method based on online monitoring of the embodiment of the present invention, different first addition flow ratios, second addition flow ratios and third addition flow ratios can be used in multiple test batches to produce aerogel samples with different physical property scores, and then the relationship between the physical properties of the aerogel and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be determined, so that the appropriate addition flow ratio can be selected based on the required physical properties, so that aerogel products that meet the requirements can be produced, which is conducive to improving the performance of aerogel products and reducing the cost of production testing. When determining the density score, a piecewise function can be set to indicate whether each aerogel sample meets the qualified standard in terms of density. If the qualified standard is not met, the relative deviation between the measured density and the preset density can be used to calculate the density score, and then averaged to obtain the density score of a test batch of aerogel samples, which can accurately and objectively represent the overall quality level of the aerogel samples in the test batch in terms of density. When determining the thermal insulation performance score, the thermal conductivity effect of the aerogel sample can be determined by the relative change in temperature of the detection point before and after heating, and then the thermal insulation performance of the aerogel sample can be determined, thereby improving the accuracy and objectivity of the thermal insulation performance score. When determining the adsorption performance score, the chemical agent can be adsorbed by the aerogel sample, and the relative change in the concentration of the chemical agent before and after the adsorption can be detected to obtain the adsorption performance score, thereby accurately and objectively describing the adsorption performance of the aerogel sample. When determining the physical performance function, a univariate polynomial can be used as the undetermined coefficient equation to make the relationship between the physical performance score and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio simple and intuitive, so that the relationship between the physical performance score and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio can be expressed based on a number of measured data, providing a data basis for the production of aerogel products with target physical properties. When setting constraints, constraints can be set based on the physical performance function, the numerical range of the undetermined value of the first addition flow ratio, the undetermined value of the second addition flow ratio and the undetermined value of the third addition flow ratio, and the lower limit of the predicted value of the density score, the predicted value of the thermal insulation performance score and the predicted value of the adsorption performance score, so that when solving the optimal solution of the first addition flow ratio, the second addition flow ratio and the third addition flow ratio, the target performance can be achieved while keeping the physical properties of other aspects above the lower limit level, thereby ensuring the basic physical properties. When determining the objective function, the gap between the physical property score consistent with the type of the target physical property score and the target physical property score can be minimized, so that the aerogel product can achieve the target performance, and at the same time, multiple physical properties of the aerogel product can reach above the qualified level, so that the first addition flow rate ratio, the second addition flow rate ratio and the third addition flow rate ratio in the production process of the aerogel suitable for a specific application scenario can be quickly determined, thereby reducing the time and cost required for the research and development and production of aerogel products suitable for a specific application scenario.

[0101] Figure 2 A block diagram of an aerogel production flow control system based on online monitoring according to an embodiment of the present invention is exemplarily shown, the system comprising:

[0102] A first acquisition module is used to obtain a first addition flow ratio of various raw materials in the production process of multiple test batches of aerogels, a second addition flow ratio of the total addition flow of the raw materials to the catalyst, and a third addition flow ratio of the total addition flow of the raw materials to the solvent;

[0103] A sampling module, used for randomly sampling aerogel finished products of multiple test batches to obtain aerogel samples of multiple test batches;

[0104] A physical property scoring module, used to perform physical property tests on aerogel samples of each test batch, and determine multiple physical property scores of aerogel samples of each test batch, wherein the physical property tests include density tests, thermal insulation performance tests, and adsorption performance tests;

[0105] A physical property function module, used to determine physical property functions corresponding to various physical property scores according to the physical property scores of the aerogel samples of each test batch, and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio of each test batch, wherein the physical property function is used to represent the relationship between the physical property score and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio;

[0106] A constraint condition module is used to set the constraint conditions of the flow control model according to the physical performance functions corresponding to various physical performance scores;

[0107] An objective function module, used to determine the objective function of the flow control model according to the physical performance functions corresponding to various physical performance scores and the preset target physical performance scores;

[0108] A solution module, used for solving the flow control model according to the constraint conditions and the objective function to obtain an optimized first addition flow ratio, an optimized second addition flow ratio and an optimized third addition flow ratio;

[0109] The production module is used to produce aerogel products according to the optimized first addition flow ratio, the optimized second addition flow ratio and the optimized third addition flow ratio.

[0110] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

[0111] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling aerogel production flow based on online monitoring, characterized in that: include: Obtaining a first addition flow ratio of various raw materials, a second addition flow ratio of the total addition flow of the raw materials to the catalyst, and a third addition flow ratio of the total addition flow of the raw materials to the solvent during the production process of multiple test batches of aerogels; Randomly sampling aerogel finished products from multiple test batches to obtain aerogel samples from multiple test batches; Performing physical property tests on aerogel samples of each test batch to determine multiple physical property scores of aerogel samples of each test batch, wherein the physical property tests include density tests, thermal insulation performance tests, and adsorption performance tests; Determine a physical property function corresponding to various physical property scores according to the physical property scores of the aerogel samples of each test batch, and the first addition flow ratio, the second addition flow ratio, and the third addition flow ratio of each test batch, wherein the physical property function is used to represent the relationship between the physical property score and the first addition flow ratio, the second addition flow ratio, and the third addition flow ratio; According to the physical performance functions corresponding to various physical performance scores, the constraints of the flow control model are set; Determine the objective function of the flow control model according to the physical performance functions corresponding to the various physical performance scores and the preset target physical performance scores; Solving the flow control model according to the constraint conditions and the objective function to obtain an optimized first addition flow ratio, an optimized second addition flow ratio, and an optimized third addition flow ratio; Aerogel products are produced according to the optimized first addition flow ratio, the optimized second addition flow ratio and the optimized third addition flow ratio.

2. The aerogel production flow control method based on online monitoring according to claim 1, characterized in that: The physical property score includes a density score, a thermal insulation score and an adsorption score, wherein the physical property test is performed on each test batch of aerogel samples to determine a variety of physical property scores of each test batch of aerogel samples, including: Determining the measured density of each test batch of aerogel samples; Determining a density score for each test batch of aerogel samples based on the measured density and a preset density of the aerogel product; Select multiple heating points on one side of the aerogel sample and heat the heating points using a heating device with a set temperature; At the start and end of heating, measured temperature data is obtained at a detection point on the other side of the aerogel sample by a temperature sensor, wherein the position coordinates of the heating point on one side of the aerogel sample are consistent with the position coordinates of the detection point on the other side of the aerogel sample; Determining the thermal insulation performance score of each test batch of aerogel samples according to the measured temperature data at multiple detection points of the multiple aerogel samples; Placing the aerogel sample in a chemical solution of a predetermined mass, wherein the chemical solution contains a preset type of chemical agent, and the concentration of the chemical agent is a preset concentration; After a preset time period, taking out the aerogel sample and testing the test concentration of the chemical agent in the chemical solution; The adsorption performance score of each test batch of aerogel samples is determined according to the preset concentration and the test concentration.

3. The aerogel production flow control method based on online monitoring according to claim 2, characterized in that: Determine the density score of each test batch of aerogel samples according to the measured density and the preset density of the aerogel product, including: According to the formula ; ; Determine the density score of the aerogel sample of the i-th test batch ,in, is the measured density of the jth aerogel sample in the i-th test batch, For the preset density, is the density fraction of the jth aerogel sample in the ith test batch, n is the number of aerogel samples in each test batch, j≤n, and j, i and n are all positive integers.

4. The aerogel production flow control method based on online monitoring according to claim 2, characterized in that: According to the measured temperature data at multiple test points of multiple aerogel samples, the thermal insulation performance score of each test batch of aerogel samples is determined, including: According to the formula ; Determine the thermal insulation performance score of the aerogel samples of the i-th test batch ,in, is the measured temperature data of the kth detection point of the jth aerogel sample of the i-th test batch at the start of heating, is the measured temperature data of the kth detection point of the jth aerogel sample of the ith test batch at the end of heating, n is the number of aerogel samples in each test batch, m is the number of detection points on each aerogel sample, j≤n, k≤m, and k, j, i, m and n are all positive integers.

5. The aerogel production flow control method based on online monitoring according to claim 2, characterized in that: Determine the adsorption performance score of each test batch of aerogel samples according to the preset concentration and the test concentration, including: According to the formula ; Determine the adsorption performance score of the aerogel sample of the i-th test batch ,in, is the preset concentration, is the test concentration of the chemical agent in the chemical solution placed in the jth aerogel sample of the ith test batch, n is the number of aerogel samples in each test batch, j≤n, j and n are both positive integers.

6. The aerogel production flow control method based on online monitoring according to claim 2, characterized in that: According to the physical property scores of the aerogel samples of each test batch, and the first addition flow rate ratio, the second addition flow rate ratio and the third addition flow rate ratio of each test batch, the physical property functions corresponding to the various physical property scores are determined, including: According to the formula ; ; ; Determine the first undetermined coefficient equation of the physical property function corresponding to the density score, the second undetermined coefficient equation of the physical property function corresponding to the thermal insulation performance score, and the third undetermined coefficient equation of the physical property function corresponding to the adsorption performance score, wherein, is the density score of the aerogel sample of the i-th test batch, is the thermal insulation performance score of the aerogel samples of the i-th test batch, Score the adsorption performance of the aerogel samples in the i-th test batch, is the first addition flow rate ratio of the hth raw material in the i-th test batch, is the second addition flow rate ratio of the i-th test batch, is the third addition flow rate ratio of the i-th test batch, N is the number of types of raw materials, h≤N, and h and N are both positive integers, , , , , , , , , , , and is the coefficient to be determined; Solving the undetermined coefficients according to the thermal insulation performance scores, adsorption performance scores, density scores, first addition flow ratios, second addition flow ratios, and third addition flow ratios of the aerogel samples of each test batch to obtain solution values ​​of the undetermined coefficients; A physical property function is determined according to the solved values ​​of the undetermined coefficients, and the first undetermined coefficient equation, the second undetermined coefficient equation, and the third undetermined coefficient equation.

7. The aerogel production flow control method based on online monitoring according to claim 6, characterized in that: According to the physical performance functions corresponding to various physical performance scores, set the constraints of the flow control model, including: According to the formula ; ; ; ; ; ; ; ; ; Set the constraints of the flow control model, where: is the undetermined value of the first addition flow rate ratio of the hth raw material, Add the undetermined value of the flow ratio for the second, Add the undetermined value of the flow ratio for the third, is the predicted value of the density score, is the predicted value of the thermal insulation performance score, is the predicted value of the adsorption performance score, is the maximum value of the first addition flow rate ratio of the preset h-th raw material, The maximum value of the preset second added flow ratio, The maximum value of the preset third added flow ratio, is the minimum value of the preset density score, is the minimum value of the preset thermal insulation performance score, is the minimum value of the preset adsorption performance score, for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of for The solution value of .

8. The aerogel production flow control method based on online monitoring according to claim 7, characterized in that: According to the physical performance functions corresponding to various physical performance scores and the preset target physical performance scores, the objective function of the flow control model is determined, including: According to the formula ; Determine the objective function of the flow control model, where Score any type of target physical property, for , and One of The type of is consistent with the type of the target physical performance score, and min is the minimum value function.

9. An aerogel production flow control system based on online monitoring, characterized in that: include: A first acquisition module is used to obtain a first addition flow ratio of various raw materials in the production process of multiple test batches of aerogels, a second addition flow ratio of the total addition flow of the raw materials to the catalyst, and a third addition flow ratio of the total addition flow of the raw materials to the solvent; A sampling module, used for randomly sampling aerogel finished products of multiple test batches to obtain aerogel samples of multiple test batches; A physical property scoring module, used to perform physical property tests on aerogel samples of each test batch, and determine multiple physical property scores of aerogel samples of each test batch, wherein the physical property tests include density tests, thermal insulation performance tests, and adsorption performance tests; A physical property function module, used to determine physical property functions corresponding to various physical property scores according to the physical property scores of the aerogel samples of each test batch, and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio of each test batch, wherein the physical property function is used to represent the relationship between the physical property score and the first addition flow ratio, the second addition flow ratio and the third addition flow ratio; A constraint condition module is used to set the constraint conditions of the flow control model according to the physical performance functions corresponding to various physical performance scores; An objective function module, used to determine an objective function of a flow control model according to physical performance functions corresponding to various physical performance scores and preset target physical performance scores; A solution module, used for solving the flow control model according to the constraint conditions and the objective function to obtain an optimized first addition flow ratio, an optimized second addition flow ratio and an optimized third addition flow ratio; The production module is used to produce aerogel products according to the optimized first addition flow ratio, the optimized second addition flow ratio and the optimized third addition flow ratio.

Citation Information

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  • Aerogel production flow control method and system based on online monitoring

    CN121091902A