A low-temperature precipitation synergistic control method and system for soluble vinegar tablets in crude acid

Abstract

The present application relates to the technical field of low-temperature precipitation, and proposes a low-temperature precipitation synergic control method and system for soluble vinegar tablets in crude acid, which comprises the following steps: real-time monitoring and analyzing the esterification reaction process data of the crude acid to obtain esterification and hydrolysis synergic control data of the crude acid; based on the esterification and hydrolysis synergic control data, simulating and deducing the hydrolysis process to obtain post-hydrolysis parameters; comparing the post-hydrolysis parameters with real-time supersaturation monitoring data to obtain a supersaturation deviation, and dynamically correcting the low-temperature precipitation temperature based on the supersaturation deviation to obtain precipitation process control data; analyzing the precipitation tendency of the precipitation process control data to obtain a precipitation state representation; adjusting the low-temperature precipitation time parameter according to the precipitation state representation to obtain an optimized precipitation time parameter; and constructing a low-temperature precipitation synergic control instruction based on the optimized precipitation time parameter; the present application can improve the efficiency of low-temperature precipitation synergic control for soluble vinegar tablets in crude acid.

Description

Technical Field

[0001] This invention relates to the field of low-temperature precipitation technology, and in particular to a method and system for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid. Background Technology

[0002] Existing technologies for low-temperature precipitation of soluble acetic acid flakes in crude acid mostly employ fixed parameters for temperature and time control. They cannot adjust the temperature and time in real time in conjunction with the dynamic changes of esterification and hydrolysis reactions, making it difficult to accurately control the supersaturation state of the system. This can easily lead to problems such as unbalanced precipitation state and poor precipitation uniformity, resulting in low overall process control precision.

[0003] Traditional processes lack systematic analysis and simulation of esterification reaction data, hydrolysis processes, and precipitation trends. The inability to coordinate and control various process parameters results in low precipitation efficiency of soluble acetic acid flakes and difficulty in guaranteeing product quality. Therefore, improving the control precision and operational efficiency of low-temperature precipitation of soluble acetic acid flakes from crude acid has become an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a method and system for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides a method for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid, comprising:

[0006] D1. Real-time monitoring and analysis of the esterification reaction process data of crude acid to obtain the synergistic control data of esterification and hydrolysis of crude acid;

[0007] D2. Based on the esterification-hydrolysis co-control data, the hydrolysis process of the crude acid is simulated and deduced to obtain the parameters of the crude acid after hydrolysis.

[0008] D3. Compare the parameters after hydrolysis with the real-time supersaturation monitoring data of the crude acid to obtain the supersaturation deviation of the crude acid. Based on the supersaturation deviation, dynamically correct the low-temperature precipitation temperature of the crude acid to obtain the precipitation process control data of the crude acid.

[0009] D4. Analyze the precipitation trend of the precipitation process control data to obtain the precipitation state characterization of the crude acid.

[0010] D5. Based on the precipitation state characterization, adjust the low-temperature precipitation time parameter of the crude acid to obtain the optimized precipitation time parameter of the crude acid.

[0011] D6. Based on the optimized precipitation time parameters, construct a low-temperature precipitation coordinated control command for the crude acid.

[0012] In a preferred embodiment, the real-time monitoring and analysis of the esterification reaction process data of the crude acid to obtain the synergistic control data of the esterification and hydrolysis of the crude acid includes:

[0013] Data on the esterification reaction process of crude acid are collected, including acid value time-series data and temperature time-series data.

[0014] The time-series acid value data is subjected to time-series smoothing fitting to obtain the real-time acid value decay trajectory of the crude acid;

[0015] Based on the real-time acid value decay trajectory, the esterification reaction process of the crude acid is judged to be in a steady state, and the termination time parameter of the esterification reaction of the crude acid is obtained.

[0016] Based on the esterification reaction termination time parameter, the composition of the esterification product of the crude acid is calibrated to obtain the distribution data of the esterification endpoint substances of the crude acid.

[0017] Based on the distribution data of the esterification endpoint substances, the hydrolyzability of the esterification components in the crude acid is quantitatively analyzed to obtain the hydrolysis difficulty classification data of the components of the crude acid.

[0018] Based on the component hydrolysis difficulty classification data, the hydrolysis intensity of the esterification components in the crude acid is matched to obtain the synergistic control data of esterification hydrolysis of the crude acid.

[0019] In a preferred embodiment, the step of simulating and extrapolating the hydrolysis process of the crude acid based on the esterification-hydrolysis co-control data to obtain the post-hydrolysis parameters of the crude acid includes:

[0020] The esterification reaction termination time parameter is extracted from the esterification-hydrolysis co-control data to obtain the optimized esterification endpoint parameter of the crude acid.

[0021] Based on the optimized esterification endpoint parameters, a three-stage gradient hydrolysis configuration is performed on the hydrolysis process of the crude acid to obtain the gradient simulation boundary of the crude acid. The gradient simulation boundary includes the simulation boundary of the first hydrolysis stage, the simulation boundary of the second hydrolysis stage, and the simulation boundary of the third hydrolysis stage.

[0022] Based on the simulated boundary of the first hydrolysis segment, the esterification product of the crude acid is subjected to the first hydrolysis simulation to obtain the intermediate state data of the first hydrolysis segment of the crude acid.

[0023] Based on the intermediate state data of the first hydrolysis stage and the simulated boundary of the second hydrolysis stage, a second hydrolysis deduction of the crude acid is performed to obtain the intermediate state data of the second hydrolysis stage of the crude acid.

[0024] Based on the intermediate state data of the second hydrolysis stage and the simulated boundary of the third hydrolysis stage, the crude acid is subjected to a third hydrolysis simulation to obtain the post-hydrolysis parameters of the crude acid.

[0025] In a preferred embodiment, the comparison of the hydrolyzed parameters with the real-time supersaturation monitoring data of the crude acid yields the supersaturation deviation of the crude acid. Based on the supersaturation deviation, the low-temperature precipitation temperature of the crude acid is dynamically corrected to obtain precipitation process control data for the crude acid, including:

[0026] The parameters after hydrolysis are compared with the real-time supersaturation monitoring data of the crude acid at each time point to obtain the real-time supersaturation deviation sequence of the crude acid.

[0027] The supersaturation deviation quantification value of the crude acid is calculated based on the real-time supersaturation deviation sequence.

[0028] Based on the supersaturation deviation quantification value, the current low-temperature precipitation temperature setting value of the crude acid is adjusted in reverse to obtain the low-temperature precipitation temperature correction amount of the crude acid.

[0029] Based on the low-temperature precipitation temperature correction, the precipitation temperature control target value of the crude acid is updated to obtain the precipitation process control data of the crude acid.

[0030] In a preferred embodiment, calculating the supersaturation deviation quantification value of the crude acid based on the real-time supersaturation deviation sequence includes:

[0031] Extract the time-point deviation values ​​from the real-time supersaturation deviation sequence to obtain the deviation value sequence of the crude acid;

[0032] Obtain the first and last time point deviation values ​​in the deviation value sequence to obtain the initial and final deviation values ​​of the crude acid.

[0033] The cumulative deviation of the crude acid is obtained by summing the absolute values ​​of the deviations in the deviation value sequence.

[0034] The supersaturation deviation quantification value of the crude acid is calculated based on the deviation start value, the deviation end value, and the deviation accumulation.

[0035] In a preferred embodiment, the formula for calculating the quantified value of the supersaturation deviation is as follows:

[0036] ;

[0037] in, This is the quantized value of the supersaturation deviation. The total number of data points in the real-time oversaturation deviation sequence. The first in the real-time oversaturation deviation sequence Deviation value at each time point The initial value of the deviation, The deviation termination value, It is a very small constant. This is the preset end-point deviation weighting coefficient.

[0038] In a preferred embodiment, the step of analyzing the precipitation trend of the precipitation process control data to obtain a characterization of the precipitation state of the crude acid includes:

[0039] The low-temperature precipitation temperature correction of the crude acid is time-series re-normalized to obtain the dynamic response trajectory of the precipitation temperature of the crude acid.

[0040] Based on the dynamic response trajectory of the precipitation temperature, the slope of the solute precipitation rate in the crude acid is extracted to obtain the real-time precipitation rate of the crude acid.

[0041] Based on the real-time precipitation rate, the precipitation acceleration of the crude acid is obtained, and the precipitation acceleration is continuously sampled and fitted to obtain the precipitation acceleration variation curve of the crude acid.

[0042] Based on the precipitation acceleration change curve, the precipitation state of the crude acid is determined, and the determined state is calibrated and quantified to obtain the stage precipitation condition type of the crude acid.

[0043] Based on the stage precipitation condition type and the real-time precipitation rate, a multi-parameter fusion analysis is performed on the crude acid to obtain a characterization of the precipitation state of the crude acid.

[0044] In a preferred embodiment, adjusting the low-temperature precipitation time parameter of the crude acid based on the precipitation state characterization to obtain the optimized precipitation time parameter of the crude acid includes:

[0045] Based on the stage precipitation condition type of the crude acid, the terminal acceleration value of the corresponding curve segment is extracted from the precipitation acceleration change curve in the precipitation state characterization, and the terminal acceleration value is used as the time parameter adjustment coefficient of the crude acid.

[0046] Based on the time parameter adjustment coefficient, the current low-temperature precipitation time setting value of the crude acid is weighted and compensated to obtain the intermediate adjustment value of the low-temperature precipitation time of the crude acid.

[0047] Based on the intermediate adjustment value of the low-temperature precipitation time, the real-time precipitation rate in the precipitation state characterization is compared for consistency to obtain the optimized precipitation time parameter of the crude acid.

[0048] In a preferred embodiment, the step of constructing a low-temperature precipitation co-control command for the crude acid based on the optimized precipitation time parameter includes:

[0049] The optimized precipitation time parameter and the low-temperature precipitation temperature correction in the precipitation process control data are correlated and packaged to obtain the precipitation execution parameters of the crude acid.

[0050] The precipitation execution parameters and the esterification hydrolysis co-control data are fused and encoded using a multi-parameter method to obtain the co-control data frame of the crude acid.

[0051] Based on the collaborative control data frame, the precipitation start time and precipitation duration of the crude acid are time-series arranged to obtain the precipitation process sequence of the crude acid.

[0052] The end alignment verification of the precipitation process sequence and the stage precipitation condition type in the precipitation state characterization is performed to obtain the instruction verification pass mark of the crude acid;

[0053] Based on the instruction verification pass flag, the collaborative control data frame and the precipitation process sequence are encapsulated into the low-temperature precipitation collaborative control instruction for the crude acid.

[0054] To address the aforementioned problems, the present invention also provides a low-temperature precipitation synergistic control system for soluble acetic acid flakes in crude acid, the system comprising:

[0055] The esterification process monitoring module is used to monitor and analyze the esterification reaction process data of crude acid in real time, and obtain the esterification-hydrolysis synergistic control data of crude acid.

[0056] The hydrolysis process simulation module is used to simulate and extrapolate the hydrolysis process of the crude acid based on the esterification-hydrolysis co-control data, and obtain the parameters of the crude acid after hydrolysis.

[0057] The precipitation temperature dynamic correction module is used to compare the parameters after hydrolysis with the real-time supersaturation monitoring data of the crude acid to obtain the supersaturation deviation of the crude acid, and based on the supersaturation deviation, to dynamically correct the low-temperature precipitation temperature of the crude acid to obtain the precipitation process control data of the crude acid.

[0058] The precipitation trend analysis module is used to analyze the precipitation trend of the precipitation process control data to obtain the precipitation state characterization of the crude acid.

[0059] The precipitation time optimization module is used to adjust the low-temperature precipitation time parameter of the crude acid according to the precipitation state characterization, so as to obtain the optimized precipitation time parameter of the crude acid.

[0060] The collaborative control instruction construction module is used to construct low-temperature precipitation collaborative control instructions for the crude acid based on the optimized precipitation time parameters.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] 1. This invention achieves real-time monitoring and analysis of data throughout the entire esterification reaction process of crude acid, completes the classification of component hydrolysis difficulty and matching of hydrolysis intensity, and combines three-stage gradient hydrolysis simulation to accurately obtain various parameters after hydrolysis. Based on the quantitative calculation of supersaturation deviation, the low-temperature precipitation temperature is dynamically corrected to achieve fine control of precipitation temperature, effectively improving the overall control accuracy of the low-temperature precipitation process of soluble acetic acid flakes in crude acid.

[0063] 2. This invention analyzes precipitation trends based on temperature dynamic response trajectory, precipitation rate and acceleration changes, optimizes precipitation time parameters by combining precipitation condition types, and generates coordinated control commands by integrating and encoding multiple parameters such as temperature, time, esterification and hydrolysis after verification. This ensures stable operation of precipitation conditions and significantly improves the efficiency and product precipitation effect of low-temperature precipitation of soluble acetic acid flakes. Attached Figure Description

[0064] Figure 1 A schematic flowchart of a low-temperature precipitation synergistic control method for soluble acetic acid flakes in crude acid, provided in an embodiment of the present invention;

[0065] Figure 2 A functional block diagram of a low-temperature precipitation synergistic control system for soluble acetic acid flakes in crude acid, provided in an embodiment of the present invention;

[0066] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0067] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0068] This application provides a method for the coordinated control of low-temperature precipitation of soluble acetic acid flakes in crude acid. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method for the coordinated control of low-temperature precipitation of soluble acetic acid flakes in crude acid can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.

[0069] Reference Figure 1 The diagram shown is a schematic flowchart of a low-temperature precipitation synergistic control method for soluble acetic acid flakes in crude acid according to an embodiment of the present invention. In this embodiment, the low-temperature precipitation synergistic control method for soluble acetic acid flakes in crude acid includes:

[0070] D1. Real-time monitoring and analysis of the esterification reaction process data of crude acid to obtain the synergistic control data of esterification and hydrolysis of crude acid;

[0071] In this embodiment of the invention, the real-time monitoring and analysis of the esterification reaction process data of the crude acid to obtain the synergistic control data of the esterification and hydrolysis of the crude acid includes:

[0072] Data on the esterification reaction process of crude acid are collected, including acid value time-series data and temperature time-series data.

[0073] The time-series acid value data is subjected to time-series smoothing fitting to obtain the real-time acid value decay trajectory of the crude acid;

[0074] Based on the real-time acid value decay trajectory, the esterification reaction process of the crude acid is judged to be in a steady state, and the termination time parameter of the esterification reaction of the crude acid is obtained.

[0075] Based on the esterification reaction termination time parameter, the composition of the esterification product of the crude acid is calibrated to obtain the distribution data of the esterification endpoint substances of the crude acid.

[0076] Based on the distribution data of the esterification endpoint substances, the hydrolyzability of the esterification components in the crude acid is quantitatively analyzed to obtain the hydrolysis difficulty classification data of the components of the crude acid.

[0077] Based on the component hydrolysis difficulty classification data, the hydrolysis intensity of the esterification components in the crude acid is matched to obtain the synergistic control data of esterification hydrolysis of the crude acid.

[0078] The crude acid is a mixture of organic acids, mainly composed of acetic acid, mixed fatty acids, and esterification intermediates. Its physicochemical properties include an acid value of 180-220 mgKOH / g. The soluble acetate flakes are solid acetate esters, and their solubility in the crude acid system decreases significantly with decreasing temperature. We continuously collect time-series data on acid value and temperature generated throughout the esterification reaction, tracking the complete changes in data throughout the reaction process. We fully preserve the real-time data for each reaction stage, providing complete and accurate basic data support for subsequent data analysis.

[0079] A second-order polynomial time-series smoothing fitting operation was performed on the collected acid value time series data. All acid value-related data were sorted out according to the chronological order of data generation, and the acid value content corresponding to each discrete time node was connected and processed to eliminate the fluctuation interference generated during data acquisition. The real-time acid value decay trajectory of crude acid was completely sorted out according to the time progression, clearly showing the continuous change of acid value in the entire esterification reaction process.

[0080] Based on the real-time acid value decay trajectory that has been obtained, the trend and rhythm of the trajectory are observed segment by segment. When the acid value changes by ≤0.5mgKOH / g for 5 consecutive minutes, it is determined that the overall process of the esterification reaction tends to be stable, and the corresponding esterification reaction termination time parameter is determined. The corresponding time is the specific time node when the entire esterification reaction officially ends.

[0081] Based on the established parameters for the termination of the esterification reaction, the composition of all esterification products in the crude acid is distinguished and recorded at the end of the esterification reaction. The proportion and form of each product in the overall material are clarified, the data calibration of the composition of the esterification products is completed, and the distribution data of the esterification endpoint substances of the crude acid are fully compiled, clearly reflecting the actual distribution of various substances in the material after the reaction.

[0082] Based on the compiled distribution data of esterification endpoint substances, the hydrolyticity of each type of esterification component in the crude acid was analyzed and determined. According to the physicochemical properties of each component, the ease of hydrolysis was judged and divided into three levels: Level I easy hydrolyzable components, Level II moderately hydrolyzable components, and Level III difficult hydrolyzable components. This formed a complete classification data of component hydrolysis difficulty, clearly distinguishing the differences in hydrolysis ability of different esterification components.

[0083] Based on the classified hydrolysis difficulty grading data of the components, and comparing the hydrolysis difficulty level of each type of esterification component, the appropriate hydrolysis intensity is matched for different levels of esterification components. This ensures that the hydrolysis intensity can fully meet the hydrolysis requirements of various components. After integrating all the matching results, the esterification and hydrolysis synergistic control data of crude acid is formed, realizing the linkage and adaptive control between esterification reaction and hydrolysis reaction.

[0084] The beneficial effects are that this process can comprehensively collect basic data of the entire esterification reaction process, accurately control the endpoint of the esterification reaction and the characteristics of material components through continuous data processing and state determination, and achieve reasonable matching of hydrolysis intensity based on the hydrolysis characteristics of the components. This enables integrated linkage control of the esterification and hydrolysis stages, giving the entire control process complete logical coherence. At the same time, it can accurately adapt to the reaction requirements of different esterification components, and improve the standardization and execution stability of the subsequent hydrolysis and low-temperature precipitation process.

[0085] D2. Based on the esterification-hydrolysis co-control data, the hydrolysis process of the crude acid is simulated and deduced to obtain the parameters of the crude acid after hydrolysis.

[0086] In this embodiment of the invention, the step of simulating and extrapolating the hydrolysis process of the crude acid based on the esterification-hydrolysis co-control data to obtain the post-hydrolysis parameters of the crude acid includes:

[0087] The esterification reaction termination time parameter is extracted from the esterification-hydrolysis co-control data to obtain the optimized esterification endpoint parameter of the crude acid.

[0088] Based on the optimized esterification endpoint parameters, a three-stage gradient hydrolysis configuration is performed on the hydrolysis process of the crude acid to obtain the gradient simulation boundary of the crude acid. The gradient simulation boundary includes the simulation boundary of the first hydrolysis stage, the simulation boundary of the second hydrolysis stage, and the simulation boundary of the third hydrolysis stage.

[0089] Based on the simulated boundary of the first hydrolysis segment, the esterification product of the crude acid is subjected to the first hydrolysis simulation to obtain the intermediate state data of the first hydrolysis segment of the crude acid.

[0090] Based on the intermediate state data of the first hydrolysis stage and the simulated boundary of the second hydrolysis stage, a second hydrolysis deduction of the crude acid is performed to obtain the intermediate state data of the second hydrolysis stage of the crude acid.

[0091] Based on the intermediate state data of the second hydrolysis stage and the simulated boundary of the third hydrolysis stage, the crude acid is subjected to a third hydrolysis simulation to obtain the post-hydrolysis parameters of the crude acid.

[0092] From the acquired esterification-hydrolysis co-control data, relevant information on the termination time of the esterification reaction was selected. This information was then organized and sorted out in conjunction with the characteristics of the crude acid material and the actual reaction state. After the sorting was completed, the optimized esterification endpoint parameters of the crude acid were formed, thereby clarifying the benchmark conditions for starting the hydrolysis operation.

[0093] Based on the optimized esterification endpoint parameters and the determined reaction baseline conditions, and following the gradual hydrolysis reaction process, the overall hydrolysis process of crude acid was divided into three independent reaction stages. For each stage, corresponding reaction operating ranges and execution standards were defined, and simulation boundaries for the first, second, and third hydrolysis stages were sequentially established. Integrating the boundary values ​​of these three stages yielded the gradient simulation boundaries for crude acid, providing a complete operating framework for the staged hydrolysis simulation. Specifically, the first hydrolysis stage corresponds to the easily hydrolyzable (Level I) component, with a controlled temperature of 40℃, a reaction time of 20 min, and a stirring speed of 100 r / min; the second hydrolysis stage corresponds to the moderately hydrolyzable (Level II) component, with a controlled temperature of 50℃, a reaction time of 25 min, and a stirring speed of 100 r / min; and the third hydrolysis stage corresponds to the difficult-to-hydrolyze (Level III) component, with a controlled temperature of 60℃, a reaction time of 30 min, and a stirring speed of 100 r / min.

[0094] Strictly following the operating range and execution standards set by the simulation boundary of the first hydrolysis stage, the complete process of hydrolysis reaction of various esterification products inside crude acid is simulated. All changes in material composition, reaction state and material transformation during this stage are fully recorded. The reaction progress is tracked throughout and all relevant information is summarized. Finally, the intermediate state data of the first hydrolysis stage of crude acid is formed. The qualified judgment standard for intermediate state data is that the component conversion rate fluctuation is ≤2%. Only valid data can be used to enter the next stage of simulation.

[0095] Combining the real-time material state reflected by the intermediate state data of the first hydrolysis stage, and following the operating requirements specified by the simulation boundary of the second hydrolysis stage, the entire process of the crude acid material carrying out the next stage of hydrolysis reaction is simulated. The internal material transformation, reaction operation status and various state changes of the material are continuously recorded in this stage. All information generated in this round of simulation is collected in a comprehensive manner, and thus the intermediate state data of the second hydrolysis stage of crude acid is obtained, which accurately reflects the actual state of the material after the second stage of hydrolysis is completed.

[0096] Based on the current state of the material presented by the intermediate state data of the second hydrolysis stage, and in conjunction with the operating specifications corresponding to the simulation boundary of the third hydrolysis stage, the simulation work of the last stage of the hydrolysis process of crude acid is completed. The various state information, material composition and reaction results of the material after the completion of the entire hydrolysis process are comprehensively counted. After summarizing all the final information, the parameters of crude acid after hydrolysis are obtained, and the comprehensive state of the material after the completion of the entire gradient hydrolysis process is fully presented.

[0097] The beneficial effect is that by dividing the gradient simulation boundary based on the optimized esterification endpoint parameters, the hydrolysis simulation can be carried out in stages, which can closely match the actual reaction law of the material, gradually restore the state changes of the entire hydrolysis process, and obtain complete and accurate information on various states after hydrolysis. This makes the simulation results of the hydrolysis process more in line with the actual working conditions, and provides real and reliable data support for the subsequent low-temperature precipitation control work.

[0098] D3. Compare the parameters after hydrolysis with the real-time supersaturation monitoring data of the crude acid to obtain the supersaturation deviation of the crude acid. Based on the supersaturation deviation, dynamically correct the low-temperature precipitation temperature of the crude acid to obtain the precipitation process control data of the crude acid.

[0099] In this embodiment of the invention, the comparison of the hydrolyzed parameters with the real-time supersaturation monitoring data of the crude acid to obtain the supersaturation deviation of the crude acid, and the dynamic correction of the low-temperature precipitation temperature of the crude acid based on the supersaturation deviation, to obtain the precipitation process control data of the crude acid, includes:

[0100] The parameters after hydrolysis are compared with the real-time supersaturation monitoring data of the crude acid at each time point to obtain the real-time supersaturation deviation sequence of the crude acid.

[0101] The supersaturation deviation quantification value of the crude acid is calculated based on the real-time supersaturation deviation sequence.

[0102] Based on the supersaturation deviation quantification value, the current low-temperature precipitation temperature setting value of the crude acid is adjusted in reverse to obtain the low-temperature precipitation temperature correction amount of the crude acid.

[0103] Based on the low-temperature precipitation temperature correction, the precipitation temperature control target value of the crude acid is updated to obtain the precipitation process control data of the crude acid.

[0104] The step of calculating the supersaturation deviation quantification value of the crude acid based on the real-time supersaturation deviation sequence includes:

[0105] Extract the time-point deviation values ​​from the real-time supersaturation deviation sequence to obtain the deviation value sequence of the crude acid;

[0106] Obtain the first and last time point deviation values ​​in the deviation value sequence to obtain the initial and final deviation values ​​of the crude acid.

[0107] The cumulative deviation of the crude acid is obtained by summing the absolute values ​​of the deviations in the deviation value sequence.

[0108] The supersaturation deviation quantification value of the crude acid is calculated based on the deviation start value, the deviation end value, and the deviation accumulation.

[0109] The formula for calculating the quantified value of the oversaturation deviation is as follows:

[0110] ;

[0111] in, This is the quantized value of the supersaturation deviation. The total number of data points in the real-time oversaturation deviation sequence. The first in the real-time oversaturation deviation sequence Deviation value at each time point The initial value of the deviation, The deviation termination value, It is a very small constant. This is the preset end-point deviation weighting coefficient.

[0112] Following the order of data collection and recording, the parameters after hydrolysis and the real-time supersaturation monitoring data of crude acid were matched one by one. For each independent time point, the two sets of data were compared item by item. The differences between the various state data after hydrolysis and the supersaturation data collected in real time at the same time point were carefully checked. The difference information generated at each time point was completely recorded. Then, the difference content corresponding to all time points was arranged and linked in an orderly manner according to the time progression, and combined to form a real-time supersaturation deviation sequence of crude acid with complete time sequence characteristics, thus completely preserving the deviation situation at all time points throughout the entire monitoring period.

[0113] The generated real-time supersaturation deviation sequence is decomposed and sorted out. The deviation content corresponding to each independent time node in the sequence is separated and extracted one by one. During the extraction process, the original time arrangement of the data is strictly maintained. All the extracted time deviation content is arranged in a regular manner to form a clear and complete deviation value sequence of crude acid. The original deviation information generated at each monitoring time point is fully preserved, providing a complete data foundation for subsequent calculations.

[0114] In the orderly sequence of deviation values, locate the deviation value at the beginning of the sequence and determine it as the starting value of the crude acid deviation, thus representing the deviation status at the beginning of the entire monitoring cycle. At the same time, locate the deviation value at the end of the sequence and determine it as the ending value of the crude acid deviation, thus representing the deviation status at the end of the entire monitoring cycle. This allows for a clear understanding of the specific manifestations of the deviation at the beginning and end of the monitoring cycle.

[0115] The algorithm iterates through all time-point deviations within the deviation value sequence, takes the corresponding absolute value for each time-point deviation, eliminates the interference caused by positive or negative values, and then sequentially performs continuous superposition of all extracted absolute deviation values. After integrating and summarizing the absolute deviation values ​​of all time points within the monitoring period, the cumulative deviation of crude acid is obtained after completing the cumulative statistical work, which intuitively reflects the overall volume and comprehensive performance of the deviation during the entire monitoring period.

[0116] The total number of data points in the deviation sequence is calculated by continuously collecting data at a predetermined sampling frequency during the low-temperature precipitation of crude acid using an online supersaturation detector. This value is only used to count the number of samples. The real-time supersaturation deviation is calculated by subtracting the ideal supersaturation baseline value set by the process from the actual supersaturation value measured by the equipment at the same moment. The deviation start value is the real-time supersaturation deviation corresponding to the first sampling node in the entire set of sampled data, and the deviation end value is the real-time supersaturation deviation corresponding to the last sampling node in the entire set of sampled data. Both types of values ​​maintain the same attribute as the real-time supersaturation deviation. The minimum constant used in the calculation process is a fixed value preset by the system, used only to avoid the case where the denominator is zero. The terminal deviation weighting coefficient is a fixed value calibrated in advance by the process, with a default value of 0.5, used to adjust the influence of the sampling terminal data on the overall calculation result. The attributes of the values ​​involved in the entire calculation are matched to each other to adapt to the data calculation requirements of the soluble acetate flake precipitation condition in the crude acid system.

[0117] The results of this calculation are used to comprehensively evaluate the overall deviation between the actual supersaturation and the ideal supersaturation of the system under low-temperature precipitation conditions of crude acid. Based on this, dynamic reverse adjustment of the precipitation temperature is completed. The calculation results continue the dimensionless property of the supersaturation deviation, which can accurately correspond to the execution logic of temperature adjustment. The complete calculation process first calculates the absolute value and mean of the supersaturation deviation of all sampling nodes, then combines the difference between the deviations of the first and last nodes with the calculation result of the initial deviation to perform a linkage calculation of the mean, and finally combines the preset weighting coefficient and the deviation at the end of the sampling to complete the integrated calculation, and finally form a unified evaluation value that can simultaneously reflect the overall deviation level, the deviation change range, and the deviation status at the end of the operating condition. When temperature adjustment is carried out based on this value, the data attributes can smoothly connect with the operating rules of the temperature correction link, ensuring the orderly implementation of the precipitation control of soluble acetate flakes in crude acid.

[0118] When the overall supersaturation deviation obtained from sampling is small, and the difference between the deviations of the first and last sampling nodes is within a small range, the final calculated evaluation value will also be relatively small. The supersaturation of the crude acid system is close to the ideal state, and the adjustment range of the precipitation temperature executed by the equipment is reduced accordingly, allowing soluble acetate flakes to maintain a stable precipitation state. When the overall supersaturation deviation obtained from sampling increases, or the difference between the deviations of the first and last sampling nodes increases significantly, the final calculated evaluation value increases synchronously. The degree of deviation of the supersaturation of the crude acid system from the standard state deepens, and the adjustment range of the precipitation temperature executed by the equipment increases accordingly to quickly correct the system's operating state. When the supersaturation deviation at the end of the sampling position increases significantly, under the effect of a fixed weighting coefficient, the final calculated evaluation value increases synchronously. The equipment increases the adjustment range of the precipitation temperature to promptly correct the supersaturation state at the end of the precipitation process, continuously ensuring the stable precipitation of soluble acetate flakes in the crude acid system.

[0119] As the cumulative deviation increases, the quantified value of the oversaturation deviation will also increase, indicating that the overall scale of the deviation is expanding. When the ratio of the initial deviation value to the final deviation value increases, the quantified value of the oversaturation deviation will also increase, indicating that the trend of deviation change is intensifying. When the ratio of the square of the final deviation value to the average deviation increases, the quantified value of the oversaturation deviation will also increase, indicating that the fluctuation intensity of the deviation is increasing. When the initial deviation value approaches zero, the existence of a minimum constant will ensure that the denominator is not zero, thus avoiding calculation failure.

[0120] By combining the degree of deviation and the corresponding trend of the deviation reflected by the calculated supersaturation deviation quantification value, and by combining the operating mechanism and material precipitation characteristics of the crude acid low-temperature precipitation process, a reverse adjustment operation is carried out on the low-temperature precipitation temperature setpoint currently being implemented on site. Based on the actual deviation, the specific direction and adjustment range of the temperature adjustment are determined, and the original temperature value is gradually corrected. After all the adjustment work is completed, the correction amount of the low-temperature precipitation temperature of crude acid is determined, and the specific change standard that needs to be implemented for this temperature adjustment is accurately determined.

[0121] Based on the determined low-temperature precipitation temperature correction, the original precipitation temperature control target value of crude acid was completely replaced and updated. The corrected temperature value was set as the new control standard. At the same time, all control rules, implementation requirements and status information involved in this temperature adjustment process were integrated and summarized. All relevant content was integrated and summarized to form complete and clearly defined control data for the precipitation process of crude acid, providing accurate and suitable temperature control basis for subsequent low-temperature precipitation operations of soluble acetic acid flakes.

[0122] The beneficial effects are that by relying on full-time point-by-point comparison, the dynamic deviation of supersaturation can be fully captured. Through layered extraction, statistical summary and comprehensive accounting, the deviation can be quantitatively characterized. Based on the quantitative results, the precipitation temperature can be targeted reverse correction and dynamic update. This allows the temperature control standard to continuously match the real-time supersaturation state of the crude acid material, eliminates the control lag problem caused by fixed temperature parameters, greatly improves the precision of temperature control in the low-temperature precipitation process, ensures the smooth and orderly precipitation of soluble acetic acid flakes, and further optimizes the overall precipitation effect.

[0123] D4. Analyze the precipitation trend of the precipitation process control data to obtain the precipitation state characterization of the crude acid.

[0124] In this embodiment of the invention, the step of analyzing the precipitation trend of the precipitation process control data to obtain the precipitation state characterization of the crude acid includes:

[0125] The low-temperature precipitation temperature correction of the crude acid is time-series re-normalized to obtain the dynamic response trajectory of the precipitation temperature of the crude acid.

[0126] Based on the dynamic response trajectory of the precipitation temperature, the slope of the solute precipitation rate in the crude acid is extracted to obtain the real-time precipitation rate of the crude acid.

[0127] Based on the real-time precipitation rate, the precipitation acceleration of the crude acid is obtained, and the precipitation acceleration is continuously sampled and fitted to obtain the precipitation acceleration variation curve of the crude acid.

[0128] Based on the precipitation acceleration change curve, the precipitation state of the crude acid is determined, and the determined state is calibrated and quantified to obtain the stage precipitation condition type of the crude acid.

[0129] Based on the stage precipitation condition type and the real-time precipitation rate, a multi-parameter fusion analysis is performed on the crude acid to obtain a characterization of the precipitation state of the crude acid.

[0130] By organizing all the low-temperature precipitation temperature corrections according to the complete timeline of the data, the temperature correction values ​​at different time points are rearranged in chronological order. During the sorting process, it is ensured that each set of correction data corresponds precisely to the corresponding time point, and the continuous changes in temperature correction values ​​over time are presented in a coherent manner. This forms a dynamic response trajectory of crude acid precipitation temperature that can intuitively reflect the dynamic changes in temperature adjustment, and fully records the entire process of temperature correction changes within the entire control cycle.

[0131] Based on the established precipitation temperature dynamic response trajectory, and combined with the trend changes of the trajectory line over time, the slope of the trajectory is calculated segment by segment for different intervals. Combined with the temperature change rhythm reflected by the slope, the precipitation rate of solute inside crude acid in the corresponding time period is calculated. The precipitation rate of solute in each time stage is determined one by one, and finally the real-time precipitation rate of crude acid is obtained by summarizing, which accurately reflects the actual rate of solute precipitation in the material at different times.

[0132] Using the real-time precipitation rate at each moment as the basis for analysis, the increase or decrease in precipitation rate between adjacent time nodes is compared to calculate the change in precipitation rate per unit time, thereby obtaining the precipitation acceleration corresponding to crude acid. Subsequently, precipitation acceleration at different moments is continuously sampled and collected at fixed time intervals. All collected acceleration data are sequentially fitted according to time order, connecting discrete sampled data into continuous change lines, and finally generating a complete precipitation acceleration change curve of crude acid, which intuitively shows the continuous change trend of precipitation acceleration throughout the process.

[0133] By comparing the overall trend, fluctuation characteristics, and range variation features of the precipitation acceleration change curve, and combining the operating condition judgment criteria corresponding to the low-temperature precipitation process of soluble acetic acid flakes, the current solute precipitation state of crude acid is distinguished and judged one by one in different time periods. The specific manifestation of precipitation behavior in different stages is clarified. Then, a unique label is set for each precipitation state after judgment and numerical quantification is completed. Different precipitation states are clearly distinguished and defined, thereby classifying the stage precipitation operating condition types of crude acid and clearly defining the actual precipitation operating conditions corresponding to each time period.

[0134] The pre-defined precipitation conditions and the real-time precipitation rate obtained from full-process monitoring are used as the two core analytical bases. The operating condition information and speed information carried by the two types of data are integrated and analyzed from the two dimensions of operating condition characteristics and precipitation rate. The matching relationship of precipitation rate under different operating conditions and the overall operating status are sorted out. Multiple types of information are integrated to complete the comprehensive judgment. Finally, a comprehensive and multi-dimensional characterization of the precipitation state of crude acid is formed, which fully summarizes the comprehensive operating status of crude acid in the entire low-temperature precipitation process.

[0135] The beneficial effects are that by performing a series of operations such as time series reshaping, slope extraction, and sampling fitting, the temperature, precipitation rate, and acceleration variation patterns during the precipitation process are broken down layer by layer. This allows for the precise classification of precipitation conditions at different stages. Furthermore, by combining multiple core parameters for fusion analysis, a complete precipitation state characterization can be formed. This enables a comprehensive and detailed understanding of the operational details of the entire low-temperature precipitation process, accurate identification of precipitation characteristics at different stages, and provides a comprehensive and reliable state basis for the subsequent optimization and adjustment of precipitation time parameters. This makes the overall control work more closely aligned with the actual precipitation conditions on site.

[0136] D5. Based on the precipitation state characterization, adjust the low-temperature precipitation time parameter of the crude acid to obtain the optimized precipitation time parameter of the crude acid.

[0137] In this embodiment of the invention, adjusting the low-temperature precipitation time parameter of the crude acid based on the precipitation state characterization to obtain the optimized precipitation time parameter of the crude acid includes:

[0138] Based on the stage precipitation condition type of the crude acid, the terminal acceleration value of the corresponding curve segment is extracted from the precipitation acceleration change curve in the precipitation state characterization, and the terminal acceleration value is used as the time parameter adjustment coefficient of the crude acid.

[0139] Based on the time parameter adjustment coefficient, the current low-temperature precipitation time setting value of the crude acid is weighted and compensated to obtain the intermediate adjustment value of the low-temperature precipitation time of the crude acid.

[0140] Based on the intermediate adjustment value of the low-temperature precipitation time, the real-time precipitation rate in the precipitation state characterization is compared for consistency to obtain the optimized precipitation time parameter of the crude acid.

[0141] Based on the established stage precipitation conditions of crude acid, the specific curve range corresponding to this condition in the precipitation acceleration change curve is locked. The acceleration value corresponding to the last position of this curve is precisely located, and this final acceleration value is extracted separately. This value is set as a reference for adjusting the precipitation time, which is the time parameter adjustment coefficient of crude acid, so that the time adjustment work can be carried out in combination with the dynamic characteristics of the current precipitation conditions.

[0142] Based on the determined time parameter adjustment coefficients and combined with the time control rules of the low-temperature precipitation process, a weighted compensation correction operation is carried out on the currently executed low-temperature precipitation time setpoint. The weight ratios are allocated according to the influence degree corresponding to the coefficients, and the original time values ​​are increased or decreased in combination with the weight values. After the correction calculation is completed, the intermediate adjustment value of the low-temperature precipitation time of crude acid is obtained, forming the preliminary adjusted precipitation time standard.

[0143] Using the calculated intermediate adjustment value of the low-temperature precipitation time as a reference standard, the operating logic corresponding to this duration is compared and checked item by item with the real-time precipitation rate recorded in the precipitation state characterization. It is determined whether the current duration matches the actual precipitation rate of the solute. If the fluctuation range of the real-time precipitation rate is ≤8% within this duration, the parameter is considered to match, and this value is the optimized precipitation time parameter. If it does not match, the mismatched part is fine-tuned and calibrated again. The verification is repeated until the duration parameter and the precipitation rate reach a state of complete fit. Finally, the optimized precipitation time parameter of crude acid that is suitable for the current precipitation conditions is obtained.

[0144] The beneficial effect is that, based on the actual precipitation conditions, the corresponding acceleration value is selected as the adjustment basis, and the precipitation time is initially corrected by using a weighted compensation method. Then, the consistency verification and secondary optimization are completed by combining the real-time precipitation rate. This allows the precipitation time parameter to be completely matched with the current precipitation state of the material, avoiding the problem of mismatch between the fixed time parameter and the actual precipitation rhythm. This further improves the rationality and accuracy of low-temperature precipitation time control, ensuring that soluble acetic acid tablets can complete the precipitation operation under the optimal time conditions.

[0145] D6. Based on the optimized precipitation time parameters, construct a low-temperature precipitation coordinated control command for the crude acid.

[0146] In this embodiment of the invention, the step of constructing a low-temperature precipitation coordinated control command for the crude acid based on the optimized precipitation time parameters includes:

[0147] The optimized precipitation time parameter and the low-temperature precipitation temperature correction in the precipitation process control data are correlated and packaged to obtain the precipitation execution parameters of the crude acid.

[0148] The precipitation execution parameters and the esterification hydrolysis co-control data are fused and encoded using a multi-parameter method to obtain the co-control data frame of the crude acid.

[0149] Based on the collaborative control data frame, the precipitation start time and precipitation duration of the crude acid are time-series arranged to obtain the precipitation process sequence of the crude acid.

[0150] The end alignment verification of the precipitation process sequence and the stage precipitation condition type in the precipitation state characterization is performed to obtain the instruction verification pass mark of the crude acid;

[0151] Based on the instruction verification pass flag, the collaborative control data frame and the precipitation process sequence are encapsulated into the low-temperature precipitation collaborative control instruction for the crude acid.

[0152] The optimized precipitation time parameters determined by calibration and the low-temperature precipitation temperature correction amount recorded in the precipitation process control data are integrated and collected. The two types of parameters that control the duration and temperature respectively are established with a fixed correlation. They are integrated into a complete set of operating parameters according to the supporting requirements of the process execution. After integration, the precipitation execution parameters of crude acid are formed, which uniformly bear the two core control conditions of temperature and duration required for the low-temperature precipitation process.

[0153] The integrated precipitation execution parameters are fully integrated with the previously generated esterification and hydrolysis co-control data. All parameter contents are uniformly arranged and coded according to the standard format that the equipment control system can recognize. The encoding adopts the industrial common Modbus-RTU communication protocol, so that various data belonging to different process links form a logically coherent and uniformly formatted whole data unit. After multi-parameter fusion encoding processing, the co-control data frame of crude acid is obtained, realizing the integrated integration of the control data of the entire process of esterification, hydrolysis and low temperature precipitation.

[0154] Using the established collaborative control data frame as the core execution basis, and combined with the overall process flow of low-temperature precipitation, the specific time nodes for the formal start of the crude acid precipitation operation are planned in sequence. At the same time, the duration of the entire precipitation operation is determined by optimizing the precipitation time parameters. The start time, running time, stage nodes and other contents are arranged in an orderly manner according to the time sequence, and the entire process flow of the operation is completely sorted out. After the arrangement is completed, the precipitation process sequence of crude acid is obtained, and the time sequence execution rules of the entire precipitation process are clearly defined.

[0155] The pre-compiled precipitation process sequence is retrieved, and the precipitation condition types divided in the precipitation state characterization are extracted. Alignment verification is performed on the final stage of the entire precipitation operation to check whether the execution content set at the end of the precipitation process sequence matches the current precipitation condition of the material. By comparing the preset condition at the end of the precipitation process sequence with the actual precipitation condition, if the deviation is >10%, the verification is deemed to have failed, and the system automatically re-arranges the timing sequence. If the verification fails three times in a row, an audible and visual alarm is triggered and the system is shut down for protection. After confirming that the timing arrangement is completely matched with the actual precipitation condition, a verification pass mark for crude acid is generated, indicating that the current timing plan has the conditions for actual execution.

[0156] After obtaining the instruction verification pass mark and confirming that all content matches correctly, the standardized collaborative control data frame and the logically complete precipitation process sequence are encapsulated and integrated as a whole. They are combined into a complete set of directly callable execution instructions according to the control system instruction standard, and finally form a low-temperature precipitation collaborative control instruction for the crude acid treatment process. The entire set of instructions can directly drive the equipment to complete the fully automated collaborative operation.

[0157] The beneficial effects are that the instruction is built through a complete process of parameter packaging, fusion coding, timing arrangement and alignment verification. It integrates multi-dimensional information such as temperature, duration, esterification and hydrolysis and precipitation conditions, ensuring that the internal logic of each part of the control instruction is consistent and the timing is matched. It can realize the linkage and collaborative control of each process of esterification, hydrolysis and low temperature precipitation, improve the execution reliability and adaptability of the whole set of control instructions, and ensure the stable implementation of the fully automated operation of low temperature precipitation of soluble acetic acid flakes in crude acid.

[0158] like Figure 2 The diagram shown is a functional block diagram of a low-temperature precipitation synergistic control system for soluble acetic acid flakes in crude acid, provided in an embodiment of the present invention.

[0159] The low-temperature precipitation and co-control system 100 for soluble acetic acid flakes in crude acid described in this invention can be installed in an electronic device. Depending on the functions implemented, the low-temperature precipitation and co-control system 100 may include an esterification process monitoring module 101, a hydrolysis process simulation module 102, a precipitation temperature dynamic correction module 103, a precipitation trend analysis module 104, a precipitation time optimization module 105, and a co-control instruction construction module 106. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, stored in the memory of the electronic device.

[0160] In this embodiment, the functions of each module / unit are as follows:

[0161] The esterification process monitoring module 101 is used to monitor and analyze the esterification reaction process data of crude acid in real time, and obtain the esterification-hydrolysis synergistic control data of crude acid.

[0162] The hydrolysis process simulation module 102 is used to simulate and deduce the hydrolysis process of the crude acid based on the esterification hydrolysis co-control data, and obtain the parameters of the crude acid after hydrolysis.

[0163] The precipitation temperature dynamic correction module 103 is used to compare the parameters after hydrolysis with the real-time supersaturation monitoring data of the crude acid to obtain the supersaturation deviation of the crude acid, and based on the supersaturation deviation, to dynamically correct the low-temperature precipitation temperature of the crude acid to obtain the precipitation process control data of the crude acid.

[0164] The precipitation trend analysis module 104 is used to analyze the precipitation trend of the precipitation process control data to obtain the precipitation state characterization of the crude acid.

[0165] The precipitation time optimization module 105 is used to adjust the low-temperature precipitation time parameter of the crude acid according to the precipitation state characterization, so as to obtain the optimized precipitation time parameter of the crude acid.

[0166] The collaborative control instruction construction module 106 is used to construct a low-temperature precipitation collaborative control instruction for the crude acid based on the optimized precipitation time parameters.

[0167] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0168] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0169] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0170] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0171] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0172] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid, characterized in that, The method includes: D1. Real-time monitoring and analysis of the esterification reaction process data of crude acid to obtain the synergistic control data of esterification and hydrolysis of crude acid; D2. Based on the esterification-hydrolysis co-control data, the hydrolysis process of the crude acid is simulated and deduced to obtain the parameters of the crude acid after hydrolysis. D3. Compare the parameters after hydrolysis with the real-time supersaturation monitoring data of the crude acid to obtain the supersaturation deviation of the crude acid. Based on the supersaturation deviation, dynamically correct the low-temperature precipitation temperature of the crude acid to obtain the precipitation process control data of the crude acid. D4. Analyze the precipitation trend of the precipitation process control data to obtain the precipitation state characterization of the crude acid. D5. Based on the precipitation state characterization, adjust the low-temperature precipitation time parameter of the crude acid to obtain the optimized precipitation time parameter of the crude acid. D6. Based on the optimized precipitation time parameters, construct a low-temperature precipitation coordinated control command for the crude acid.

2. The method for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid as described in claim 1, characterized in that, The real-time monitoring and analysis of the esterification reaction process data of the crude acid yields synergistic control data for the esterification and hydrolysis of the crude acid, including: Data on the esterification reaction process of crude acid are collected, including acid value time-series data and temperature time-series data. The time-series acid value data is subjected to time-series smoothing fitting to obtain the real-time acid value decay trajectory of the crude acid; Based on the real-time acid value decay trajectory, the esterification reaction process of the crude acid is judged to be in a steady state, and the termination time parameter of the esterification reaction of the crude acid is obtained. Based on the esterification reaction termination time parameter, the composition of the esterification product of the crude acid is calibrated to obtain the distribution data of the esterification endpoint substances of the crude acid. Based on the distribution data of the esterification endpoint substances, the hydrolyzability of the esterification components in the crude acid is quantitatively analyzed to obtain the hydrolysis difficulty classification data of the components of the crude acid. Based on the component hydrolysis difficulty classification data, the hydrolysis intensity of the esterification components in the crude acid is matched to obtain the synergistic control data of esterification hydrolysis of the crude acid.

3. The method for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid as described in claim 1, characterized in that, The simulation and deduction of the hydrolysis process of the crude acid based on the esterification-hydrolysis co-control data yields the post-hydrolysis parameters of the crude acid, including: The esterification reaction termination time parameter is extracted from the esterification-hydrolysis co-control data to obtain the optimized esterification endpoint parameter of the crude acid. Based on the optimized esterification endpoint parameters, a three-stage gradient hydrolysis configuration is performed on the hydrolysis process of the crude acid to obtain the gradient simulation boundary of the crude acid. The gradient simulation boundary includes the simulation boundary of the first hydrolysis stage, the simulation boundary of the second hydrolysis stage, and the simulation boundary of the third hydrolysis stage. Based on the simulated boundary of the first hydrolysis segment, the esterification product of the crude acid is subjected to the first hydrolysis simulation to obtain the intermediate state data of the first hydrolysis segment of the crude acid. Based on the intermediate state data of the first hydrolysis stage and the simulated boundary of the second hydrolysis stage, a second hydrolysis deduction of the crude acid is performed to obtain the intermediate state data of the second hydrolysis stage of the crude acid. Based on the intermediate state data of the second hydrolysis stage and the simulated boundary of the third hydrolysis stage, the crude acid is subjected to a third hydrolysis simulation to obtain the post-hydrolysis parameters of the crude acid.

4. The method for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid as described in claim 1, characterized in that, The supersaturation deviation of the crude acid is obtained by comparing the parameters after hydrolysis with the real-time supersaturation monitoring data of the crude acid. Based on the supersaturation deviation, the low-temperature precipitation temperature of the crude acid is dynamically corrected to obtain the precipitation process control data of the crude acid, including: The parameters after hydrolysis are compared with the real-time supersaturation monitoring data of the crude acid at each time point to obtain the real-time supersaturation deviation sequence of the crude acid. The supersaturation deviation quantification value of the crude acid is calculated based on the real-time supersaturation deviation sequence. Based on the supersaturation deviation quantification value, the current low-temperature precipitation temperature setting value of the crude acid is adjusted in reverse to obtain the low-temperature precipitation temperature correction amount of the crude acid. Based on the low-temperature precipitation temperature correction, the precipitation temperature control target value of the crude acid is updated to obtain the precipitation process control data of the crude acid.

5. The method for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid as described in claim 4, characterized in that, The step of calculating the supersaturation deviation quantification value of the crude acid based on the real-time supersaturation deviation sequence includes: Extract the time-point deviation values ​​from the real-time supersaturation deviation sequence to obtain the deviation value sequence of the crude acid; Obtain the first and last time point deviation values ​​in the deviation value sequence to obtain the initial and final deviation values ​​of the crude acid. The cumulative deviation of the crude acid is obtained by summing the absolute values ​​of the deviations in the deviation value sequence. The supersaturation deviation quantification value of the crude acid is calculated based on the deviation start value, the deviation end value, and the deviation accumulation.

6. The method for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid as described in claim 5, characterized in that, The formula for calculating the quantified value of the oversaturation deviation is as follows: ； in, This is the quantized value of the supersaturation deviation. The total number of data points in the real-time oversaturation deviation sequence. The first in the real-time oversaturation deviation sequence Deviation value at each time point The initial value of the deviation, The deviation termination value, It is a very small constant. This is the preset end-point deviation weighting coefficient.

7. The method for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid as described in claim 1, characterized in that, The step of analyzing the precipitation trend of the precipitation process control data to obtain the precipitation state characterization of the crude acid includes: The low-temperature precipitation temperature correction of the crude acid is time-series re-normalized to obtain the dynamic response trajectory of the precipitation temperature of the crude acid. Based on the dynamic response trajectory of the precipitation temperature, the slope of the solute precipitation rate in the crude acid is extracted to obtain the real-time precipitation rate of the crude acid. Based on the real-time precipitation rate, the precipitation acceleration of the crude acid is obtained, and the precipitation acceleration is continuously sampled and fitted to obtain the precipitation acceleration variation curve of the crude acid. Based on the precipitation acceleration change curve, the precipitation state of the crude acid is determined, and the determined state is calibrated and quantified to obtain the stage precipitation condition type of the crude acid. Based on the stage precipitation condition type and the real-time precipitation rate, a multi-parameter fusion analysis is performed on the crude acid to obtain a characterization of the precipitation state of the crude acid.

8. The method for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid as described in claim 1, characterized in that, The step of adjusting the low-temperature precipitation time parameter of the crude acid based on the precipitation state characterization to obtain the optimized precipitation time parameter of the crude acid includes: Based on the stage precipitation condition type of the crude acid, the terminal acceleration value of the corresponding curve segment is extracted from the precipitation acceleration change curve in the precipitation state characterization, and the terminal acceleration value is used as the time parameter adjustment coefficient of the crude acid. Based on the time parameter adjustment coefficient, the current low-temperature precipitation time setting value of the crude acid is weighted and compensated to obtain the intermediate adjustment value of the low-temperature precipitation time of the crude acid. Based on the intermediate adjustment value of the low-temperature precipitation time, the real-time precipitation rate in the precipitation state characterization is compared for consistency to obtain the optimized precipitation time parameter of the crude acid.

9. The method for synergistic control of low-temperature precipitation of soluble acetic acid flakes in crude acid as described in claim 1, characterized in that, The method for constructing a low-temperature precipitation coordinated control command for the crude acid based on the optimized precipitation time parameters includes: The optimized precipitation time parameter and the low-temperature precipitation temperature correction in the precipitation process control data are correlated and packaged to obtain the precipitation execution parameters of the crude acid. The precipitation execution parameters and the esterification hydrolysis co-control data are fused and encoded using a multi-parameter method to obtain the co-control data frame of the crude acid. Based on the collaborative control data frame, the precipitation start time and precipitation duration of the crude acid are time-series arranged to obtain the precipitation process sequence of the crude acid. The end alignment verification of the precipitation process sequence and the stage precipitation condition type in the precipitation state characterization is performed to obtain the instruction verification pass mark of the crude acid; Based on the instruction verification pass flag, the collaborative control data frame and the precipitation process sequence are encapsulated into the low-temperature precipitation collaborative control instruction for the crude acid.

10. A low-temperature precipitation and synergistic control system for soluble acetic acid flakes in crude acid, characterized in that, The system for implementing the low-temperature precipitation synergistic control method for soluble acetic acid flakes in crude acid as described in claim 1 comprises: The esterification process monitoring module is used to monitor and analyze the esterification reaction process data of crude acid in real time, and obtain the esterification-hydrolysis synergistic control data of crude acid. The hydrolysis process simulation module is used to simulate and extrapolate the hydrolysis process of the crude acid based on the esterification-hydrolysis co-control data, and obtain the parameters of the crude acid after hydrolysis. The precipitation temperature dynamic correction module is used to compare the parameters after hydrolysis with the real-time supersaturation monitoring data of the crude acid to obtain the supersaturation deviation of the crude acid, and based on the supersaturation deviation, to dynamically correct the low-temperature precipitation temperature of the crude acid to obtain the precipitation process control data of the crude acid. The precipitation trend analysis module is used to analyze the precipitation trend of the precipitation process control data to obtain the precipitation state characterization of the crude acid. The precipitation time optimization module is used to adjust the low-temperature precipitation time parameter of the crude acid according to the precipitation state characterization, so as to obtain the optimized precipitation time parameter of the crude acid. The collaborative control instruction construction module is used to construct low-temperature precipitation collaborative control instructions for the crude acid based on the optimized precipitation time parameters.

Images