Automatic mixing control device and control method applied to thermosensitive coating processing

Abstract

The invention relates to the technical field of material processing, in particular to an automatic mixing control device and method applied to thermosensitive coating processing, and the method comprises the steps: carrying out the difference analysis of the reaction information of the (n-1) th operation in the current batch and the reaction information of the (n-1) th operation in each historical batch, so as to determine similar batches; according to the quantity difference of the accumulatively added target raw materials of each similar batch and the current batch, the quantity difference of the target raw materials added in the (n-1) th operation and the accumulative influence coefficient of the target raw materials; and determining the quantity of the target raw material added in the nth operation of the current batch according to the quantity of the target raw material added in the nth operation of each similar batch, the calculation weight of each similar batch and the similar coefficient of each similar batch. The adding amount of the raw materials can be dynamically adjusted according to the real-time raw material reaction condition, and the yield of the thermosensitive coating is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of material processing, and in particular to an automatic mixing control device and a control method for processing heat-sensitive coatings. Background Art

[0002] Thermal coatings can be prepared by uniformly mixing leuco dyes, developers, sensitizers, fillers, and adhesives in a certain proportion. The proportions and quality of the ingredients must be strictly controlled during the mixing process to ensure the desired performance of the thermal coating. The mixed ingredients must be dispersed by high-speed stirring or the use of a dispersant to break up aggregates and form a uniform dispersion.

[0003] In the process of preparing thermosensitive coatings based on raw materials, the raw materials need to be added to a mixing device in a certain proportion for stirring. Since the stirring device has a relatively large capacity, it can accommodate more raw materials for reaction. However, it is found in application that adding too much raw material at one time will cause the machine to stir unevenly for a long time, which in turn causes the problem of local temperature accumulation being too high, and ultimately leads to a lower-than-expected yield of the thermosensitive coating. Therefore, the existing technology will choose to add raw materials in small amounts and multiple times to avoid the above-mentioned uneven stirring problem to a certain extent. However, each time the adding operation is performed, the specific amount of the added raw materials cannot be well adapted to the current reaction conditions, which also makes the yield of the thermosensitive coating lower than expected.

[0004] That is to say, the yield rate of heat-sensitive coatings prepared based on the existing technology is low. Summary of the Invention

[0005] In order to solve the technical problem of low yield of heat-sensitive coatings prepared based on the existing technology, the present invention aims to provide an automatic mixing control device and control method for heat-sensitive coating processing. The technical solutions adopted are as follows: In a first aspect, an embodiment of the present invention provides an automatic mixing control method for heat-sensitive coating processing, the method comprising: Performing a difference analysis on the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch to identify similar batches in multiple historical batches, where n is an integer greater than 1; Determine the calculation weight of each similar batch based on the cumulative difference value of each similar batch, the incremental difference value of each similar batch, and the cumulative influence coefficient of the target raw material, wherein the cumulative difference value is used to indicate the difference in the amount of the target raw material added cumulatively between the corresponding similar batch and the current batch in the previous n-1 operations, and the incremental difference value is used to indicate the difference in the amount of the target raw material added in the n-1th operation between the corresponding similar batch and the current batch, where the target raw material is any one of the multiple raw materials used to prepare the thermosensitive coating; The amount of target raw material added to the current batch in the nth operation is determined based on the amount of target raw material added to each similar batch in the nth operation, the calculation weight of each similar batch, and the similarity coefficient of each similar batch, wherein the similarity coefficient is used to indicate the degree of similarity between the reaction curves of the corresponding similar batch and the current batch.

[0006] In one embodiment, performing difference analysis on the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch to determine similar batches in multiple historical batches includes: Obtaining a reaction curve for the n-1th operation in the current batch and a reaction curve for the n-1th operation in each historical batch, wherein the reaction curve is used to represent the turbulence of the corresponding operation over time, and the turbulence is used to indicate the degree of reaction turbulence of the multiple raw materials at the corresponding time; Performing a difference analysis on the slopes of the curve points between the reaction curve of the n-1th operation in the current batch and the reaction curve of the n-1th operation in each historical batch, and obtaining multiple slope difference indices corresponding to each historical batch; Performing a difference analysis on the disorder of the curve points between the reaction curve of the n-1th operation in the current batch and the reaction curve of the n-1th operation in each historical batch, and obtaining multiple reaction degree difference indices corresponding to each historical batch; Determining a batch difference value corresponding to each historical batch according to a plurality of slope difference indices corresponding to each historical batch and a plurality of disorder difference indices corresponding to each historical batch; The historical batches whose batch difference values ​​are less than or equal to a preset first threshold are determined as the similar batches.

[0007] In one embodiment, the step of obtaining the turbulence of the target curve point includes: Calculating the difference between the sampled temperature value at each sampling position at the target time and the temperature mean at the target time to obtain the temperature difference value at each sampling position at the target time, wherein the temperature mean is the mean of multiple sampled temperature values ​​at multiple sampling positions at the target time, the target time is the time corresponding to the target curve point, and the target curve point is any curve point in the reaction curve of the n-1th operation in the current batch, or the target curve point is any curve point in the reaction curve of the n-1th operation in the historical batch; Calculate the difference between the sampled pH value of each sampling position at the target time and the pH mean at the target time to obtain the pH difference value of each sampling position at the target time, wherein the pH mean value is the average of multiple sampled pH values ​​of multiple sampling positions at the target time; The disorder of the target curve point is determined based on the temperature difference of each sampling position at the target time, the acid-base difference of each sampling position at the target time, and the current fluctuation value at the target time, wherein the current fluctuation value at the target time is used to indicate the degree of fluctuation of the current data at the target time.

[0008] In one embodiment, determining the batch difference value corresponding to each historical batch according to the multiple slope difference indices corresponding to each historical batch and the multiple disorder difference indices corresponding to each historical batch includes: Calculating the product of each slope difference index and the corresponding disorder difference index corresponding to each historical batch to obtain multiple batch difference parameters corresponding to each historical batch, wherein the multiple batch difference parameters corresponding to each historical batch and the multiple slope difference indices corresponding to each historical batch have a one-to-one correspondence; The sum of multiple batch difference parameters corresponding to each historical batch is calculated to obtain the batch difference value corresponding to each historical batch.

[0009] In one embodiment, the step of obtaining the cumulative impact coefficient of the target raw material includes: Based on the multiple historical batches, a plurality of first data and a plurality of second data associated with the target raw material are obtained, wherein the plurality of first data and the plurality of second data correspond one-to-one, the plurality of first data correspond one-to-one to a plurality of operations, the amount of target raw material added in any two different operations among the multiple operations has the same change, and the cumulative amount of target raw material added in any two different operations among the multiple operations is different, the first data is used to indicate the cumulative amount of target raw material added during the corresponding operation, and the second data is used to indicate the degree of influence of the target raw material added during the corresponding operation on the reaction progress; Correlation analysis is performed on the plurality of first data and the plurality of second data to obtain a cumulative influence coefficient of the target raw material.

[0010] In one embodiment, the step of acquiring the target second data includes: Obtaining a target change amount and a target curve difference value corresponding to a target operation, wherein the target operation is any one of the multiple operations, the target change amount is used to indicate the change amount of the target raw material added during the target operation, and the target curve difference value is used to indicate the degree of difference between the reaction curves of the target operation and the previous operation corresponding to the target operation, the reaction curve is used to represent the degree of disorder that changes over time in the corresponding operation, and the disorder degree is used to indicate the degree of disorder in the reactions of the multiple raw materials at the corresponding moment; A ratio of a target change amount corresponding to the target operation to a target curve difference value is calculated to obtain target second data corresponding to the target operation, wherein the plurality of second data includes the target second data.

[0011] In one embodiment, performing correlation analysis on the plurality of first data and the plurality of second data to obtain a cumulative impact coefficient of the target raw material includes: Performing straight line fitting on the plurality of first data and the plurality of second data to obtain a target straight line; The cumulative impact coefficient of the target raw material is determined based on the slope of the target straight line.

[0012] In one embodiment, after determining the amount of target raw material added to the current batch in the nth operation based on the amount of target raw material added to each similar batch in the nth operation, the calculation weight of each similar batch, and the similarity coefficient of each similar batch, the method further includes: Analyzing the reaction information of a target time period to obtain an analysis result, wherein the target time period is a time period from the start time of the (n-1)th operation of the current batch to the set start time of the (n)th operation of the current batch, and the analysis result is used to indicate the stability of the mixing reaction of the multiple raw materials in the target time period; When the analysis result indicates that the stability of the mixed reaction of the plurality of raw materials in the target time period matches a preset stability condition, the nth operation of the current batch is performed based on the amount of target raw materials added in the nth operation of the current batch.

[0013] In one embodiment, after analyzing the reaction information of the target time period and obtaining the analysis results, the method further includes: When the analysis result indicates that the stability of the mixing reaction of the plurality of raw materials in the target time period does not match the stability condition, execution of the nth operation of the current batch is delayed.

[0014] In a second aspect, another embodiment of the present invention provides an automatic mixing control device for use in heat-sensitive coating processing, the device comprising: a batch determination module for performing difference analysis on the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch to determine similar batches among multiple historical batches, where n is an integer greater than 1; a weight calculation module, configured to determine a calculation weight for each similar batch based on a cumulative difference value of each similar batch, an incremental difference value of each similar batch, and a cumulative influence coefficient of a target raw material, wherein the cumulative difference value indicates a difference in the amount of the target raw material cumulatively added between the corresponding similar batch and the current batch in the first n-1 operations, and the incremental difference value indicates a difference in the amount of the target raw material added between the corresponding similar batch and the current batch in the n-1th operation, wherein the target raw material is any one of a plurality of raw materials used to prepare a thermal-sensitive coating; The portion measurement module is used to determine the portion of the target raw material added to the current batch in the nth operation based on the portion of the target raw material added to each similar batch in the nth operation, the calculation weight of each similar batch and the similarity coefficient of each similar batch, wherein the similarity coefficient is used to indicate the degree of similarity between the reaction curves of the corresponding similar batches and the current batch.

[0015] In a third aspect, another embodiment of the present invention further provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps of the method described in the first aspect when executed by the processor.

[0016] In a fourth aspect, another embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

[0017] The present invention has the following beneficial effects: The present invention adds raw materials in small amounts multiple times for mixed reaction to prepare a thermosensitive coating. By performing a difference analysis on the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch, similar batches with similar reaction conditions as the current batch are found in multiple historical batches. The cumulative amount of raw materials added and the difference between the raw material addition amounts between each similar batch and the current batch are analyzed. In combination with the cumulative influence coefficient used to quantify the influence of the cumulative addition of raw materials on the degree of reaction, the calculation weight of each similar batch is determined from multiple aspects, that is, the guiding weight of each similar batch to the current batch is determined. Based on this, the amount of raw materials added in the nth operation of each similar batch is combined to calculate the amount of target raw materials added in the nth operation of the current batch. The above measures can dynamically adjust the amount of target raw materials added in combination with the real-time reaction conditions of each raw material, thereby achieving precise control of the amount of target raw materials added, suppressing insufficient reaction of raw materials, and improving the yield of thermosensitive coating. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 A schematic flow chart of an automatic mixing control method for heat-sensitive coating processing provided by one embodiment of the present invention; Figure 2 A schematic structural diagram of an automatic mixing control device for heat-sensitive coating processing provided by one embodiment of the present invention; Figure 3 The present invention provides a schematic structural diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] To further illustrate the technical means and effectiveness of the present invention in achieving its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effectiveness of an automatic mixing control device and control method for heat-sensitive coating processing according to the present invention. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0021] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0022] The following describes in detail a specific solution of an automatic mixing control device and a control method for heat-sensitive coating processing provided by the present invention in conjunction with the accompanying drawings.

[0023] This invention proposes an automatic mixing control method for heat-sensitive coating processing. Figure 1 , which shows a schematic flow chart of an automatic mixing control method for heat-sensitive coating processing provided by one embodiment of the present invention, the method comprising the following steps: Step S1: performing difference analysis on the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch to determine similar batches in multiple historical batches.

[0024] Wherein, n is an integer greater than 1.

[0025] The above reaction information is collected based on multiple sensors pre-installed in a mixing device (also known as a stirring device). The mixing device is used to receive multiple raw materials fed by a feeding device and stir them at high speed to break up agglomerates in the raw materials and form a uniform dispersion. The dispersion can be used as a heat-sensitive coating.

[0026] The reaction information may include current data, temperature data and pH data, wherein the current data can be understood as the current value of the motor that drives the stirring rod of the mixing device (collected by a current sensor), the temperature data can be understood as the temperature value of the mixture formed by mixing the raw materials in the mixing device (collected by a temperature sensor), and the pH data can be understood as the pH value of the mixture formed by mixing the raw materials in the mixing device (collected by a pH sensor). It should be noted that in order to avoid data collection errors, multiple temperature sensors and multiple pH sensors can be set in the array of the mixing device, that is, there are multiple temperature data and pH data at the same time, and the multiple temperature data at the same time correspond to different temperature sampling positions in the mixing device. Similarly, the multiple pH data at the same time correspond to different pH sampling positions in the mixing device.

[0027] In the present invention, the process of adding raw materials to a mixing device in small amounts multiple times, reacting them, and ultimately outputting a dispersion can be considered a single production process. Batches are then divided based on the production process. The current batch corresponds to the mixing device's current production process, while historical batches correspond to completed production processes. The n-1th operation of a batch is specifically defined as the n-1th feeding operation (the operation of controlling the feeding device to add a set amount of raw materials to the mixing device) performed during the production process corresponding to that batch.

[0028] Based on the above settings, by performing differential analysis on the reaction information, differential analysis of the reaction conditions between the current batch and multiple historical batches is achieved, so that historical batches (i.e., similar batches) with reaction conditions that are relatively similar to the current batch can be found among multiple historical batches. Among them, since what needs to be measured is the added amount of raw materials in the nth operation, the reaction information of the n-1th operation is selected for differential analysis, so as to ensure the accuracy of the determined similar batches while reducing the size of the data to be differentially analyzed, thereby improving the overall data processing efficiency.

[0029] Furthermore, performing difference analysis on the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch to determine similar batches in multiple historical batches includes: Obtaining a reaction curve for the n-1th operation in the current batch and a reaction curve for the n-1th operation in each historical batch, wherein the reaction curve is used to represent the turbulence of the corresponding operation over time, and the turbulence is used to indicate the degree of reaction turbulence of the multiple raw materials at the corresponding time; Performing a difference analysis on the slopes of the curve points between the reaction curve of the n-1th operation in the current batch and the reaction curve of the n-1th operation in each historical batch, and obtaining multiple slope difference indices corresponding to each historical batch; Performing a difference analysis on the disorder of the curve points between the reaction curve of the n-1th operation in the current batch and the reaction curve of the n-1th operation in each historical batch, and obtaining multiple reaction degree difference indices corresponding to each historical batch; Determining a batch difference value corresponding to each historical batch according to a plurality of slope difference indices corresponding to each historical batch and a plurality of disorder difference indices corresponding to each historical batch; The historical batches whose batch difference values ​​are less than or equal to a preset first threshold are determined as the similar batches.

[0030] The time period indicated by the reaction curve for the n-1th operation in the current batch is specifically the period from the start of the n-1th feeding operation in the current batch to a first duration threshold (e.g., 5 minutes). By analyzing the current data, pH data, and temperature data at each moment in the time period indicated by the reaction curve for the n-1th operation in the current batch (data sampling is performed at a set frequency, such as once per second), the degree of turbulence at each moment can be obtained, thereby forming the reaction curve for the n-1th operation in the current batch. The process for obtaining the reaction curve for the n-1th operation in previous batches is similar and will not be repeated here to avoid repetition.

[0031] In the above setting, after obtaining the reaction curve of the n-1th operation in the current batch and the reaction curve of the n-1th operation in each historical batch, the differences between different curves are comprehensively evaluated in terms of curve slope and turbulence. This can avoid the errors caused by single-dimensional judgment and make the determined batch difference values ​​more accurate and reliable.

[0032] In the application, the batch difference values ​​corresponding to each historical batch can be normalized (such as using the maximum and minimum normalization method), and then the normalized batch difference values ​​can be compared with the first threshold value to eliminate the numerical differences and make the determined similar batches more accurate. In this case, the above-mentioned first threshold value can be set to 0.3.

[0033] Furthermore, the steps for obtaining the turbulence of the target curve point include: Calculating the difference between the sampled temperature value at each sampling position at the target time and the temperature mean at the target time to obtain the temperature difference value at each sampling position at the target time, wherein the temperature mean is the mean of multiple sampled temperature values ​​at multiple sampling positions at the target time, the target time is the time corresponding to the target curve point, and the target curve point is any curve point in the reaction curve of the n-1th operation in the current batch, or the target curve point is any curve point in the reaction curve of the n-1th operation in the historical batch; Calculate the difference between the sampled pH value of each sampling position at the target time and the pH mean at the target time to obtain the pH difference value of each sampling position at the target time, wherein the pH mean value is the average of multiple sampled pH values ​​of multiple sampling positions at the target time; The disorder of the target curve point is determined based on the temperature difference of each sampling position at the target time, the acid-base difference of each sampling position at the target time, and the current fluctuation value at the target time, wherein the current fluctuation value at the target time is used to indicate the degree of fluctuation of the current data at the target time.

[0034] In one example, the turbulence of the target curve point can be determined based on the absolute value of the temperature difference at each sampling position at the target time, the absolute value of the acid-base difference at each sampling position at the target time, and the current fluctuation value at the target time.

[0035] For example, the turbulence of the target curve point It can be expressed as:

[0036] in, represents the current fluctuation value at the target time, M represents the total number of sampling positions, represents the sampling temperature value of the ath sampling position at the target time (that is, the aforementioned temperature data), represents the average temperature at the target time, Indicates the sampled pH value of the ath sampling position at the target time (i.e. the aforementioned pH data), It represents the mean pH value at the target time, and exp(.) represents the exponential operation with the natural constant e as the base.

[0037] It should be noted that the greater the temperature difference between each sampling position, the greater the temperature difference at different sampling positions at the target moment, which means that the raw material mixing reaction at the target moment is less sufficient, and the corresponding turbulence is greater. Similarly, the greater the pH difference between each sampling position, the greater the pH difference at different sampling positions at the target moment, which means that the raw material mixing reaction at the target moment is less sufficient, and the corresponding turbulence is greater; and, the greater the current fluctuation value at the target moment, the greater the degree of change in the motor output power at the target moment, which means that the raw material mixing reaction at the target moment is less sufficient, and the corresponding turbulence is greater.

[0038] In the above setting, the temperature and pH data of multiple sampling locations are summarized to avoid the sampling errors caused by single-dimensional evaluation and single sampling location setting. The degree of disorder of the raw material mixing reaction at the corresponding sampling time is comprehensively evaluated, which can make the determined disorder more accurate.

[0039] In an example, the current fluctuation value at the target moment may be: the absolute value of the difference between the current value at the target moment (ie, the aforementioned current data) and the current value at a moment before the target moment.

[0040] Furthermore, the determining of the batch difference value corresponding to each historical batch according to the multiple slope difference indices corresponding to each historical batch and the multiple disorder difference indices corresponding to each historical batch includes: Calculating the product of each slope difference index and the corresponding disorder difference index corresponding to each historical batch to obtain multiple batch difference parameters corresponding to each historical batch, wherein the multiple batch difference parameters corresponding to each historical batch and the multiple slope difference indices corresponding to each historical batch have a one-to-one correspondence; The sum of multiple batch difference parameters corresponding to each historical batch is calculated to obtain the batch difference value corresponding to each historical batch.

[0041] For example, the batch difference value corresponding to the jth historical batch in multiple historical batches is It can be expressed as:

[0042] Wherein, DM represents the total number of curve points included in the reaction curve of the n-1th operation in the current batch, represents the slope of the z-th curve point in the reaction curve of the n-1-th operation of the j-th historical batch, Indicates the slope of the z-th curve point in the reaction curve of the n-1-th operation of the current batch, It represents the disorder of the z-th curve point in the reaction curve of the n-1-th operation of the j-th historical batch, Indicates the disorder of the z-th curve point in the reaction curve of the n-1-th operation of the current batch, represents the z-th slope difference index corresponding to the j-th historical batch, Indicates the zth disorder difference index corresponding to the jth historical batch.

[0043] Step S2: Determine the calculation weight of each similar batch based on the cumulative difference of each similar batch, the incremental difference of each similar batch, and the cumulative influence coefficient of the target raw material.

[0044] The cumulative difference is used to indicate the difference in the amount of target raw materials added between the corresponding similar batch and the current batch in the first n-1 operations, and the incremental difference is used to indicate the difference in the amount of target raw materials added between the corresponding similar batch and the current batch in the n-1th operation. The target raw material is any one of the multiple raw materials used to prepare thermosensitive coatings.

[0045] Illustratively, the cumulative difference may be: the absolute value of the difference between the cumulative amounts of target raw materials added to the corresponding similar batches and the current batch in the previous n-1 operations.

[0046] Similarly, the incremental difference may be the absolute value of the difference between the amounts of the target raw material added to the corresponding similar batch and the current batch in the (n-1)th operation.

[0047] In the above setting, after determining multiple similar batches, before estimating the amount of target raw material added to the current batch in the nth operation based on the amount of target raw material added to each similar batch in the nth operation, the single addition difference and the cumulative addition difference between the similar batches and the current batch are analyzed to determine the weight of the amount of target raw material added to each similar batch in the nth operation in the subsequent amount estimation, and the cumulative influence coefficient of the target raw material is introduced to correct the influence of the aforementioned cumulative addition difference in the weight calculation, improve the accuracy of the determined calculation weight, and further improve the accuracy of the subsequently determined amount of target raw material added to the current batch in the nth operation.

[0048] It should be noted that when the target raw material is added into the mixing device and reacts with other raw materials, in addition to the addition amount of the target raw material in the n-1th operation affecting the overall reaction conditions, the cumulative addition amount of the target raw material in the previous n-1 operations will also affect the degree of multi-raw material mixing reaction. Based on this, in addition to analyzing the single addition differences between similar batches and the current batch, the present invention further analyzes the cumulative addition differences between similar batches and the current batch, so as to comprehensively evaluate the calculation weights of different similar batches from the dimensions of the cumulative addition amount and instantaneous addition amount of the target raw material, thereby accurately evaluating the addition amount of different similar batches in the nth operation, and their importance in estimating the addition amount of the current batch in the nth operation.

[0049] It should be understood that the larger the cumulative difference and the incremental difference, the greater the difference in the material addition between the corresponding similar batch and the current batch, the smaller the guiding significance of the corresponding similar batch to the current batch, and the smaller the calculation weight of the corresponding similar batch.

[0050] The cumulative impact coefficient of the target raw material is used to indicate the degree of influence of the cumulative addition amount of the target raw material in multiple operations of the corresponding batch on the degree of the mixed reaction of multiple raw materials.

[0051] For example, the calculation weight of the cth similar batch among multiple similar batches is It can be expressed as:

[0052] in, represents the incremental difference of the cth similar batch among multiple similar batches, Represents the cumulative difference of the cth similar batch among multiple similar batches, It represents the cumulative impact coefficient of the target raw material, and exp(.) represents the exponential operation with the natural constant e as the base.

[0053] Furthermore, the step of obtaining the cumulative impact coefficient of the target raw material includes: Based on the multiple historical batches, a plurality of first data and a plurality of second data associated with the target raw material are obtained, wherein the plurality of first data and the plurality of second data correspond one-to-one, the plurality of first data correspond one-to-one to a plurality of operations, the amount of target raw material added in any two different operations among the multiple operations has the same change, and the cumulative amount of target raw material added in any two different operations among the multiple operations is different, the first data is used to indicate the cumulative amount of target raw material added during the corresponding operation, and the second data is used to indicate the degree of influence of the target raw material added during the corresponding operation on the reaction progress; Correlation analysis is performed on the plurality of first data and the plurality of second data to obtain a cumulative influence coefficient of the target raw material.

[0054] In the above setting, in multiple historical batches, multiple operations with the same change in the amount of added target raw material but different cumulative amounts of added target raw materials are found, so as to determine the cumulative impact coefficient of the target raw material by analyzing the correlation between the cumulative amount of target raw material added and the degree of impact on the reaction process after adding the same amount of target raw material in the above multiple operations.

[0055] Specifically, performing correlation analysis on the plurality of first data and the plurality of second data to obtain the cumulative impact coefficient of the target raw material includes: Performing straight line fitting on the plurality of first data and the plurality of second data to obtain a target straight line; The cumulative impact coefficient of the target raw material is determined based on the slope of the target straight line.

[0056] For example, a target rectangular coordinate system can be defined, and the horizontal axis of the target rectangular coordinate system represents the cumulative amount of the target raw material added during the corresponding operation, while the vertical axis of the target rectangular coordinate system represents the degree of influence of the target raw material added during the corresponding operation on the reaction process, so that multiple first data and multiple first data are mapped in the target rectangular coordinate system to form multiple mapping points, and a target straight line is obtained by performing straight-line fitting on the multiple mapping points, and the cumulative influence coefficient of the target raw material is determined according to the slope of the target straight line.

[0057] Among them, the slope of the target straight line can be directly determined as the cumulative influence coefficient of the target raw material. The closer the slope of the target straight line is to 0, the weaker the correlation between the cumulative amount of target raw material added and the degree of influence on the reaction process after adding the same amount of target raw material, and vice versa.

[0058] Furthermore, the step of obtaining the target second data includes: Obtaining a target change amount and a target curve difference value corresponding to a target operation, wherein the target operation is any one of the multiple operations, the target change amount is used to indicate the change amount of the target raw material added during the target operation, and the target curve difference value is used to indicate the degree of difference between the reaction curves of the target operation and the previous operation corresponding to the target operation, the reaction curve is used to represent the degree of disorder that changes over time in the corresponding operation, and the disorder degree is used to indicate the degree of disorder in the reactions of the multiple raw materials at the corresponding moment; A ratio of a target change amount corresponding to the target operation to a target curve difference value is calculated to obtain target second data corresponding to the target operation, wherein the plurality of second data includes the target second data.

[0059] The previous operation corresponding to the target operation is specifically: an operation that is adjacent to the target operation and located before the target operation in the batch where the target operation is located.

[0060] The change in the added amount of the target raw material during the target operation is specifically: the absolute value of the difference in the added amount of the target raw material between the target operation and its corresponding previous operation.

[0061] The target curve difference value can be obtained based on the calculation method of the aforementioned batch difference value. The only difference between the target curve difference value and the batch difference value is that the two curves calculated by the batch difference value are two reaction curves corresponding to different (n-1)-th operations in two batches, while the two curves calculated by the target curve difference value are two reaction curves corresponding to the target operation and its corresponding previous operation. To avoid repetition, they will not be repeated.

[0062] For example, the target second data corresponding to the target operation It can be expressed as:

[0063] in, Indicates the target change corresponding to the target operation, Indicates the target curve difference value corresponding to the target operation.

[0064] Step S3: Determine the amount of target raw material added to the current batch in the nth operation based on the amount of target raw material added to each similar batch in the nth operation, the calculation weight of each similar batch, and the similarity coefficient of each similar batch.

[0065] The similarity coefficient is used to indicate the similarity between the reaction curves of the corresponding similar batch and the current batch.

[0066] The similarity coefficient can be obtained by subtracting the batch difference value of the corresponding similar batches from 1.

[0067] For example, the amount of target raw material added to the current batch in the nth operation It can be expressed as:

[0068] Where N represents the total number of similar batches. represents the batch difference value of the cth similar batch among multiple similar batches, Represents the similarity coefficient of the cth similar batch among multiple similar batches, Indicates the amount of target raw material added to the cth similar batch in the nth operation among multiple similar batches. Represents the calculation weight of the cth similar batch among multiple similar batches.

[0069] In one embodiment, after determining the amount of target raw material added to the current batch in the nth operation based on the amount of target raw material added to each similar batch in the nth operation, the calculation weight of each similar batch, and the similarity coefficient of each similar batch, the method further includes: Analyzing the reaction information of a target time period to obtain an analysis result, wherein the target time period is a time period from the start time of the (n-1)th operation of the current batch to the set start time of the (n)th operation of the current batch, and the analysis result is used to indicate the stability of the mixing reaction of the multiple raw materials in the target time period; When the analysis result indicates that the stability of the mixed reaction of the plurality of raw materials in the target time period matches a preset stability condition, the nth operation of the current batch is performed based on the amount of target raw materials added in the nth operation of the current batch.

[0070] In the application, the ratio between the multiple raw materials used to prepare the thermal sensitive coating is fixed. Therefore, after determining the addition amount of any one raw material, the corresponding addition amount of other raw materials can be determined according to the aforementioned ratio. That is to say, after determining the amount of the target raw material added in the nth operation of the current batch, the amount of other raw materials (raw materials other than the target raw material among the multiple raw materials) added in the nth operation of the current batch can be determined.

[0071] Here, after the start time of the (n-1)th operation of the current batch, the time after the cumulative set period (such as 4 minutes) of the start time can be determined as the set start time of the nth operation of the current batch.

[0072] For example, the process of analyzing the response information in the target time period and obtaining the analysis result may be: According to the response information of the target time period, the disorder degree at the end time of the target time period is obtained; If the turbulence at the end of the target time period is less than or equal to a turbulence threshold (e.g., 0.35), generating an analysis result indicating that the stability of the mixing reaction of the plurality of raw materials in the target time period matches a preset stability condition; When the turbulence degree at the end of the target time period is greater than the turbulence degree threshold, an analysis result is generated indicating that the stability of the mixing reaction of the plurality of raw materials in the target time period does not meet the stability condition.

[0073] Specifically, after analyzing the reaction information of the target time period and obtaining the analysis results, the method further includes: When the analysis result indicates that the stability of the mixing reaction of the plurality of raw materials in the target time period does not match the stability condition, execution of the nth operation of the current batch is delayed.

[0074] The specific steps for delaying the execution of the nth operation of the current batch are: Starting from the set start time of the nth operation of the current batch, wait for the target interval length (such as one minute) before obtaining the disorder degree at the current moment, and compare the disorder degree at the current moment with the disorder degree threshold. If the disorder degree at the current moment is less than or equal to the disorder degree threshold, the nth operation of the current batch is executed based on the amount of target raw materials added in the nth operation of the current batch.

[0075] If the disorder degree at the current moment is greater than the disorder degree threshold, wait for the target interval time again and repeat the above disorder degree acquisition and comparison process until the disorder degree is less than or equal to the disorder degree threshold. Then, based on the amount of target raw materials added in the nth operation of the current batch, execute the nth operation of the current batch.

[0076] In general, in the process of adding raw materials in small amounts multiple times for mixed reaction to prepare a thermosensitive coating, the present invention performs a difference analysis on the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch, so as to find a similar batch with a reaction condition similar to the current batch in multiple historical batches, and analyzes the difference between the cumulative amount of raw materials added and the amount of raw materials added between each similar batch and the current batch, and combines the cumulative influence coefficient used to quantify the influence of the cumulative addition of raw materials on the degree of reaction to determine the calculation weight of each similar batch from multiple aspects, that is, to determine the guiding weight of each similar batch to the current batch, and accordingly, combines the amount of raw materials added in the nth operation of each similar batch to calculate the amount of target raw materials added in the nth operation of the current batch. The above measures can dynamically adjust the amount of target raw materials added in combination with the real-time reaction status of each raw material, thereby achieving precise control of the amount of target raw materials added, suppressing insufficient reaction of raw materials, and improving the yield of thermosensitive coating.

[0077] The present invention proposes an automatic mixing control device for heat-sensitive coating processing. Figure 2 , which shows a schematic structural diagram of an automatic mixing control device 200 for heat-sensitive coating processing provided by one embodiment of the present invention, the device comprising: Batch determination module 201, configured to perform difference analysis between the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch, so as to determine similar batches among multiple historical batches, where n is an integer greater than 1; a weight calculation module 202 for determining a calculation weight for each similar batch based on a cumulative difference value of each similar batch, an incremental difference value of each similar batch, and a cumulative influence coefficient of a target raw material, wherein the cumulative difference value indicates the difference in the amount of the target raw material added cumulatively between the corresponding similar batch and the current batch in the previous n-1 operations, and the incremental difference value indicates the difference in the amount of the target raw material added in the n-1th operation between the corresponding similar batch and the current batch, wherein the target raw material is any one of a plurality of raw materials used to prepare a thermal-sensitive coating; The portion measurement module 203 is used to determine the portion of the target raw material added to the current batch in the nth operation based on the portion of the target raw material added to each similar batch in the nth operation, the calculation weight of each similar batch and the similarity coefficient of each similar batch, wherein the similarity coefficient is used to indicate the degree of similarity between the reaction curves of the corresponding similar batch and the current batch.

[0078] It should be noted that the apparatus provided in the above embodiments is merely illustrative of the division of the aforementioned functional modules. In actual applications, the aforementioned functions can be distributed among different functional modules as needed, i.e., the internal structure of the computer device can be divided into different functional modules to perform all or part of the functions described above. Furthermore, the automatic mixing control device for heat-sensitive coating processing and the automatic mixing control method for heat-sensitive coating processing provided in the above embodiments share the same concept. The specific implementation process is detailed in the method embodiments and will not be further elaborated here.

[0079] The embodiment of the present invention also provides an electronic device. Figure 3 , the electronic device may include a processor 301, a memory 302, and a program 3021 stored in the memory 302 and executable on the processor 301.

[0080] When the program 3021 is executed by the processor 301, it can achieve Figure 1 Any steps in the corresponding method embodiments and achieving the same beneficial effects will not be repeated here.

[0081] Those skilled in the art will appreciate that all or part of the steps of implementing the above-described embodiment method may be accomplished through hardware associated with program instructions, and the program may be stored in a readable medium.

[0082] The embodiment of the present invention further provides a readable storage medium, wherein the readable storage medium stores a computer program, and when the computer program is executed by a processor, the above Figure 1 Any steps in the corresponding method embodiments can achieve the same technical effects and will not be described again here to avoid repetition.

[0083] The computer-readable storage medium of the embodiments of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or component.

[0084] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0085] The program code contained on the storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0086] Computer program code for performing the operations of the present invention may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or terminal. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0087] An embodiment of the present invention further provides a computer program product. When the computer program product is run on a computer, the computer is caused to execute the above-mentioned related steps to implement an automatic mixing control method for heat-sensitive coating processing provided in the above embodiment.

[0088] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0089] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. An automatic mixing control method for heat-sensitive coating processing, characterized in that: The method comprises: Performing a difference analysis on the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch to identify similar batches in multiple historical batches, where n is an integer greater than 1; Determine the calculation weight of each similar batch based on the cumulative difference value of each similar batch, the incremental difference value of each similar batch, and the cumulative influence coefficient of the target raw material, wherein the cumulative difference value is used to indicate the difference in the amount of the target raw material added cumulatively between the corresponding similar batch and the current batch in the previous n-1 operations, and the incremental difference value is used to indicate the difference in the amount of the target raw material added in the n-1th operation between the corresponding similar batch and the current batch, where the target raw material is any one of the multiple raw materials used to prepare the thermosensitive coating; The amount of target raw material added to the current batch in the nth operation is determined based on the amount of target raw material added to each similar batch in the nth operation, the calculation weight of each similar batch, and the similarity coefficient of each similar batch, wherein the similarity coefficient is used to indicate the degree of similarity between the reaction curves of the corresponding similar batch and the current batch.

2. The automatic mixing control method for heat-sensitive coating processing according to claim 1, characterized in that: The performing of difference analysis on the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch to identify similar batches in multiple historical batches includes: Obtaining a reaction curve for the n-1th operation in the current batch and a reaction curve for the n-1th operation in each historical batch, wherein the reaction curve is used to represent the turbulence of the corresponding operation over time, and the turbulence is used to indicate the degree of reaction turbulence of the multiple raw materials at the corresponding time; Performing a difference analysis on the slopes of the curve points between the reaction curve of the n-1th operation in the current batch and the reaction curve of the n-1th operation in each historical batch, and obtaining multiple slope difference indices corresponding to each historical batch; Performing a difference analysis on the disorder of the curve points between the reaction curve of the n-1th operation in the current batch and the reaction curve of the n-1th operation in each historical batch, and obtaining multiple reaction degree difference indices corresponding to each historical batch; Determining a batch difference value corresponding to each historical batch according to a plurality of slope difference indices corresponding to each historical batch and a plurality of disorder difference indices corresponding to each historical batch; The historical batches whose batch difference values ​​are less than or equal to a preset first threshold are determined as the similar batches.

3. The automatic mixing control method for heat-sensitive coating processing according to claim 2, characterized in that: The steps for obtaining the turbulence of the target curve point include: Calculating the difference between the sampled temperature value at each sampling position at the target time and the temperature mean at the target time to obtain the temperature difference value at each sampling position at the target time, wherein the temperature mean is the mean of multiple sampled temperature values ​​at multiple sampling positions at the target time, the target time is the time corresponding to the target curve point, and the target curve point is any curve point in the reaction curve of the n-1th operation in the current batch, or the target curve point is any curve point in the reaction curve of the n-1th operation in the historical batch; Calculate the difference between the sampled pH value of each sampling position at the target time and the pH mean at the target time to obtain the pH difference value of each sampling position at the target time, wherein the pH mean value is the average of multiple sampled pH values ​​of multiple sampling positions at the target time; The disorder of the target curve point is determined based on the temperature difference of each sampling position at the target time, the acid-base difference of each sampling position at the target time, and the current fluctuation value at the target time, wherein the current fluctuation value at the target time is used to indicate the degree of fluctuation of the current data at the target time.

4. The automatic mixing control method for heat-sensitive coating processing according to claim 2, characterized in that: Determining the batch difference value corresponding to each historical batch according to the multiple slope difference indices corresponding to each historical batch and the multiple disorder difference indices corresponding to each historical batch includes: Calculating the product of each slope difference index and the corresponding disorder difference index corresponding to each historical batch to obtain multiple batch difference parameters corresponding to each historical batch, wherein the multiple batch difference parameters corresponding to each historical batch and the multiple slope difference indices corresponding to each historical batch have a one-to-one correspondence; The sum of multiple batch difference parameters corresponding to each historical batch is calculated to obtain the batch difference value corresponding to each historical batch.

5. The automatic mixing control method for heat-sensitive coating processing according to claim 1, characterized in that: The step of obtaining the cumulative impact coefficient of the target raw material includes: Based on the multiple historical batches, a plurality of first data and a plurality of second data associated with the target raw material are obtained, wherein the plurality of first data and the plurality of second data correspond one-to-one, the plurality of first data correspond one-to-one to a plurality of operations, the amount of target raw material added in any two different operations among the multiple operations has the same change, and the cumulative amount of target raw material added in any two different operations among the multiple operations is different, the first data is used to indicate the cumulative amount of target raw material added during the corresponding operation, and the second data is used to indicate the degree of influence of the target raw material added during the corresponding operation on the reaction progress; Correlation analysis is performed on the plurality of first data and the plurality of second data to obtain a cumulative influence coefficient of the target raw material.

6. The automatic mixing control method for heat-sensitive coating processing according to claim 5, characterized in that: The step of obtaining the target second data includes: Obtaining a target change amount and a target curve difference value corresponding to a target operation, wherein the target operation is any one of the multiple operations, the target change amount is used to indicate the change amount of the target raw material added during the target operation, and the target curve difference value is used to indicate the degree of difference between the reaction curves of the target operation and the previous operation corresponding to the target operation, the reaction curve is used to represent the degree of disorder that changes over time in the corresponding operation, and the disorder degree is used to indicate the degree of disorder in the reactions of the multiple raw materials at the corresponding moment; A ratio of a target change amount corresponding to the target operation to a target curve difference value is calculated to obtain target second data corresponding to the target operation, wherein the plurality of second data includes the target second data.

7. The automatic mixing control method for heat-sensitive coating processing according to claim 5, characterized in that: The performing correlation analysis on the plurality of first data and the plurality of second data to obtain the cumulative impact coefficient of the target raw material includes: Performing straight line fitting on the plurality of first data and the plurality of second data to obtain a target straight line; The cumulative impact coefficient of the target raw material is determined based on the slope of the target straight line.

8. The automatic mixing control method for heat-sensitive coating processing according to claim 1, characterized in that: After determining the amount of target raw material added to the current batch in the nth operation based on the amount of target raw material added to each similar batch in the nth operation, the calculation weight of each similar batch, and the similarity coefficient of each similar batch, the method further includes: Analyzing the reaction information of a target time period to obtain an analysis result, wherein the target time period is a time period from the start time of the (n-1)th operation of the current batch to the set start time of the (n)th operation of the current batch, and the analysis result is used to indicate the stability of the mixing reaction of the multiple raw materials in the target time period; When the analysis result indicates that the stability of the mixed reaction of the plurality of raw materials in the target time period matches a preset stability condition, the nth operation of the current batch is performed based on the amount of target raw materials added in the nth operation of the current batch.

9. The automatic mixing control method for heat-sensitive coating processing according to claim 8, characterized in that: After analyzing the reaction information of the target time period and obtaining the analysis results, the method further includes: When the analysis result indicates that the stability of the mixing reaction of the plurality of raw materials in the target time period does not match the stability condition, execution of the nth operation of the current batch is delayed.

10. An automatic mixing control device used in heat-sensitive coating processing, characterized in that: The device comprises: a batch determination module for performing difference analysis on the reaction information of the n-1th operation in the current batch and the reaction information of the n-1th operation in each historical batch to determine similar batches among multiple historical batches, where n is an integer greater than 1; a weight calculation module, configured to determine a calculation weight for each similar batch based on a cumulative difference value of each similar batch, an incremental difference value of each similar batch, and a cumulative influence coefficient of a target raw material, wherein the cumulative difference value indicates a difference in the amount of the target raw material cumulatively added between the corresponding similar batch and the current batch in the first n-1 operations, and the incremental difference value indicates a difference in the amount of the target raw material added between the corresponding similar batch and the current batch in the n-1th operation, wherein the target raw material is any one of a plurality of raw materials used to prepare a thermal-sensitive coating; The portion measurement module is used to determine the portion of the target raw material added to the current batch in the nth operation based on the portion of the target raw material added to each similar batch in the nth operation, the calculation weight of each similar batch and the similarity coefficient of each similar batch, wherein the similarity coefficient is used to indicate the degree of similarity between the reaction curves of the corresponding similar batches and the current batch.

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