Liquid material temperature viscosity acid value synergistic regulation method and system

Abstract

The present application relates to liquid material quality detection and process control technical field, specifically to a kind of liquid material temperature viscosity acid value synergic regulation method and system, the method and system are by identifying the same batch liquid material processing event and constructing multiple time windows, collect real-time detection data and event data, calculate temperature compensation viscosity residual error, acid value cover index, credibility correction coefficient and risk level, according to preset control parameter output graded control instruction, the present application constructs multiple time windows with the same batch liquid material processing event as benchmark, collects real-time detection data and event data, generates temperature compensation viscosity residual error, acid value cover index, acid value credibility correction coefficient and synergic control risk level, executes graded dynamic control, improves processing state judgment accuracy and batch quality stability.

Description

Technical Field

[0001] This invention relates to the field of technology, and more specifically, to a method and system for synergistic regulation of temperature, viscosity, and acid value of liquid materials. Background Technology

[0002] In the processing of edible oils, oily liquids, oil-based blends, and other liquids requiring acid value control, processes such as deacidification, filtration, adsorption, blending, replenishment, and reuse typically cause simultaneous changes in material temperature, viscosity, and acid value. Acid value, as a crucial indicator of the quality of liquid materials, is often used to determine whether a material can proceed to the next stage. Temperature and viscosity are closely related to the material's flow state, the degree of treatment adequacy, adsorption or filtration effectiveness, and the uniformity of blending. In existing production processes, data such as acid value, temperature, and viscosity are typically obtained through online monitoring or sampling, and quality judgments are made in conjunction with process parameters and production experience. This approach can meet general production control needs under stable operating conditions, with minimal batch-to-batch variations and minimal processing disturbances.

[0003] However, in continuous or batch processing of liquid materials, the test results before and after a treatment event are not isolated changes. Shortly after the treatment event, the acid value may decrease rapidly due to deacidification, adsorption, filtration, or blending. Factors such as temperature fluctuations, lag in viscosity recovery, short-term adsorbent action, material reflux, flow rate changes, or alterations in blending ratios can also affect the acid value test results. At this time, although the real-time acid value may be within the target range, this value may not fully reflect the stable state of the liquid material, especially since the acid value may still rise after a certain period of observation following treatment. Judging the treatment effect solely based on the acid value at a single moment can easily mistake short-term apparent improvement for stable improvement, affecting the reliability of judging the next process step.

[0004] Meanwhile, the viscosity of liquid materials is significantly affected by temperature, and the temperature-viscosity relationship varies among different oil types, batches, and blending formulations. Without compensating for the material's own temperature-viscosity baseline, directly comparing real-time viscosity data may misjudge viscosity fluctuations caused by normal temperature changes as processing anomalies, or overlook the sluggishness of material state reflected in the failure to promptly recover viscosity residuals after a processing event. For continuous production lines or multi-batch alternating production scenarios, the time interval, duration, material flow rate, and process records between processing events all affect the interpretation of the test data. A single indicator, single time window, or single threshold judgment method cannot simultaneously account for the authenticity of acid value improvement, the degree of viscosity state recovery, and the impact of event disturbances.

[0005] Therefore, there is still room for improvement in the existing liquid material processing control. Hence, this application proposes a method and system for the coordinated regulation of temperature, viscosity and acid value of liquid materials. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the present invention aims to provide a method and system for synergistic regulation of temperature, viscosity, and acid value of liquid materials.

[0007] To achieve the above objectives, the present invention provides the following technical solution: A method for synergistically regulating the temperature, viscosity, and acid value of a liquid material includes: Step 1: In the continuous or batch processing of liquid materials, identify the processing events that occur in the same batch of liquid materials, determine the event reference time corresponding to the processing event, and construct the pre-processing reference window, the first time window, the second time window and the third time window based on the event reference time. Step 2: Based on the pre-processing baseline window, the first time window, the second time window, and the third time window, collect real-time detection data of the liquid material, record the event data corresponding to the processing events, and form a window sequence; Step 3: Based on the window sequence and event data, generate temperature-compensated viscosity residuals corresponding to the baseline window before treatment, the first time window, the second time window, and the third time window, respectively, and generate the apparent improvement in acid value, the viscosity residual hysteresis, the event disturbance correction, and the acid value rebound slope after treatment. Step 4: Generate an acid value masking index based on the apparent improvement in acid value, the viscosity residual hysteresis, and the event disturbance correction; generate an acid value confidence correction coefficient and a collaborative control risk level based on the acid value masking index and the acid value rebound slope after treatment, and obtain preset control parameters. Step 5: Based on the real-time detection data, the results obtained in Steps 3 and 4, and the preset control parameters, perform hierarchical dynamic control and output control commands.

[0008] In one embodiment, the liquid material is edible oil or oil-containing liquid material, and the processing events include at least one of deacidification, filtration, adsorption, blending, replenishment of new material, or reuse; the event reference time is the completion time of the processing event.

[0009] In one embodiment, the pre-processing reference window corresponds to the reference mass state of the liquid material before the processing event occurs, the first time window corresponds to the instantaneous change state of the acid value of the liquid material after the processing event is completed, the second time window corresponds to the recovery state of the temperature-compensated viscosity residual of the liquid material after the processing event is completed, and the third time window corresponds to the continuous rebound state of the acid value of the liquid material after the processing event is completed.

[0010] In one embodiment, the real-time detection data includes real-time temperature, real-time viscosity, and real-time acid value, and the window sequence includes a temperature window sequence, a viscosity window sequence, and an acid value window sequence.

[0011] In one embodiment, the generation of temperature-compensated viscosity residuals specifically includes: establishing or calling a temperature-viscosity benchmark model corresponding to the liquid material based on the oil type information, batch information, or blending formula information of the liquid material; generating a benchmark viscosity sequence from the temperature-viscosity benchmark model based on the temperature window sequence; and generating temperature-compensated viscosity residuals corresponding to the pre-processing benchmark window, the first time window, the second time window, and the third time window, respectively, based on the degree of deviation of the viscosity window sequence from the benchmark viscosity sequence.

[0012] In one embodiment, in step three, an apparent improvement in acid value is generated based on the acid value window sequence corresponding to the baseline window before processing and the acid value window sequence corresponding to the first time window; a viscosity residual hysteresis is generated based on the temperature-compensated viscosity residual corresponding to the baseline window before processing and the temperature-compensated viscosity residual corresponding to the second time window; an event disturbance correction is generated based on event data; and an acid value rebound slope after processing is generated based on the acid value window sequence corresponding to the third time window.

[0013] In one embodiment, the preset control parameters include a target acid value range, a target residual range, a first masking threshold, a second rebound threshold, a third confidence threshold, and a risk level limit. When the acid value masking index exceeds the first masking threshold, or the acid value rebound slope after treatment exceeds the second rebound threshold, the acid value confidence correction coefficient is reduced and the collaborative control risk level is increased. When the acid value masking index does not exceed the first masking threshold, the acid value rebound slope after treatment does not exceed the second rebound threshold, and the temperature-compensated viscosity residual corresponding to the second time window is within the target residual range, the acid value confidence correction coefficient is increased and the collaborative control risk level is reduced.

[0014] In one embodiment, in the graded dynamic control of step five, if the real-time acid value, the temperature-compensated viscosity residual corresponding to the second time window, the acid value masking index, the acid value rebound slope after treatment, the acid value confidence correction coefficient, and the collaborative control risk level respectively meet the requirements of being within the target acid value range, within the target residual range, not exceeding the first masking threshold, not exceeding the second rebound threshold, not lower than the third confidence threshold, and not reaching the limit risk level, then a control instruction allowing entry into the next process is output; otherwise, a risk disposal control instruction is output, and graded dynamic control is repeatedly executed until the conditions for allowing entry into the next process are met or the risk disposal control instruction is maintained.

[0015] In one embodiment, the risk management control instructions include at least one of the following control instructions output according to the risk level of coordinated control: isothermal verification, secondary filtration, re-adsorption, extended homogenization, limiting the blending ratio, adjusting the material reflux ratio, reducing the processing temperature, isolating the batch, or stopping the processing.

[0016] In one embodiment, a system for synergistic regulation of temperature, viscosity, and acid value of a liquid material includes:

[0017] The baseline window construction module is used to identify processing events occurring in the same batch of liquid materials, determine the baseline time of the event, and construct the pre-processing baseline window, the first time window, the second time window, and the third time window; The window sequence forming module is used to collect real-time detection data, record event data, and form a window sequence based on the pre-processing baseline window, the first time window, the second time window, and the third time window. The viscosity residual generation module is used to generate temperature-compensated viscosity residuals corresponding to the pre-processing baseline window, the first time window, the second time window, and the third time window, respectively, based on the window sequence and event data. The acid value variable generation module is used to generate the apparent improvement in acid value, viscosity residual hysteresis, event disturbance correction, and acid value rebound slope after treatment based on the window sequence and event data. The masking index generation module is used to generate the acid value masking index based on the apparent improvement in acid value, the viscosity residual hysteresis, and the event disturbance correction. The coefficient level generation module is used to generate acid value confidence correction coefficient and collaborative regulation risk level based on acid value masking index and acid value rebound slope after treatment, and to obtain preset regulation parameters; The graded control output module is used to perform graded dynamic control and output control commands based on real-time detection data, temperature-compensated viscosity residual, acid value masking index, acid value rebound slope after treatment, acid value confidence correction coefficient, collaborative control risk level, and preset control parameters.

[0018] Compared with the prior art, the present invention has the following beneficial effects: This invention identifies processing events occurring in the same batch of liquid materials during continuous or batch processing, determines the event baseline time, and constructs a pre-processing baseline window, a first time window, a second time window, and a third time window around the event baseline time. The detection data before and after the processing event are included in a unified time window sequence for analysis, which enhances the continuity and specificity of the judgment of acid value, temperature, and viscosity changes, and avoids the deviation caused by detection data at a single moment in the judgment of the processing status. Based on the window sequence and event data, temperature-compensated viscosity residuals corresponding to the baseline window before treatment, the first time window, the second time window, and the third time window are generated respectively. Furthermore, the apparent improvement in acid value, viscosity residual hysteresis, event disturbance correction, and acid value rebound slope after treatment are generated. The short-term decrease in acid value, viscosity recovery state, temperature influence, and treatment event disturbance are analyzed in a coordinated manner, which improves the ability to identify the difference between the real improvement in acid value and the short-term apparent improvement. An acid value masking index is generated based on the apparent improvement in acid value, viscosity residual hysteresis, and event disturbance correction. An acid value reliability correction coefficient and a collaborative control risk level are generated by combining the acid value rebound slope after treatment. After obtaining the preset control parameters, hierarchical dynamic control is performed and control instructions are output. The system can release liquid materials in a timely manner when they meet the conditions for entering the next process, and output corresponding risk disposal instructions when there are masking risks, rebound risks, or collaborative risks, thereby improving the control accuracy and batch quality stability of the liquid material processing process. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the overall process of a method for synergistic regulation of temperature, viscosity and acid value of liquid materials according to the present invention; Figure 2 This is a schematic diagram illustrating the construction of a pre-processing reference window, a first time window, a second time window, and a third time window based on an event reference time according to the present invention. Figure 3 This is a schematic diagram illustrating the hierarchical dynamic control implemented in this invention; Figure 4 This is a structural block diagram of a liquid material temperature, viscosity, and acid value synergistic adjustment system according to the present invention. Detailed Implementation

[0020] Example 1: Refer to Figures 1 to 3 A method for synergistically regulating the temperature, viscosity, and acid value of a liquid material, comprising: Step 1: In the continuous or batch processing of liquid materials, identify the processing events that occur in the same batch of liquid materials, determine the event reference time corresponding to the processing event, and construct the pre-processing reference window, the first time window, the second time window, and the third time window based on the event reference time.

[0021] In the continuous or batch processing of liquid materials, a batch timeline is established for the same batch of liquid materials, and at least one of the following is identified as a processing event: deacidification, filtration, adsorption, blending, replenishment of new material, or reuse. If the liquid material is edible oil or oil-containing liquid material, for example, in the case of soybean oil entering the filtration process after deacidification, the end signal of deacidification, the discharge valve closing signal, the batch flow accumulation completion signal, and the acid value detection record are verified to confirm that the processing event belongs to the same batch of liquid materials, and the completion time of the processing event is determined as the event reference time. Based on the event baseline time, a pre-treatment baseline window is defined forward, and a first time window, a second time window, and a third time window are defined sequentially backward. The pre-treatment baseline window selects the time period in which temperature, viscosity, and acid value fluctuations are within a stable range before the occurrence of the treatment event, reflecting the baseline quality state of the liquid material. The first time window covers the time period in which the acid value changes immediately after the treatment event, reflecting the immediate change in the acid value of the liquid material. The second time window covers the time period in which the influence of temperature gradually weakens and the temperature-compensated viscosity residual tends to recover after the completion of the treatment event, reflecting the recovery state of the temperature-compensated viscosity residual of the liquid material. The third time window covers a period of continuous observation after the event is completed, reflecting the continuous rebound of the acid value of the liquid material.

[0022] The time when the event is completed is recorded as the event baseline time. The baseline window, first time window, second time window, and third time window are denoted as follows: and The baseline window before processing is... The first window is The second time window is The third time window is .

[0023] In the formula, and These are the time lengths of the baseline window before processing, the first time window, the second time window, and the third time window, respectively. All of these are positive numbers, and preset control parameters are written into them. Let i be the i-th data acquisition time, and i be the data acquisition point number. This satisfies... The collected data is assigned to the k-th window, where In the same batch or When a new processing event occurs, the existing window records are retained, and the completion time of the new processing event is recorded separately as the new time. .

[0024] Taking edible oil adsorption treatment as an example, the baseline window before treatment records the baseline mass state before the adsorbent is added, the first time window records the change of rapid decrease in acid value after adsorption treatment, the second time window records the residual recovery process of viscosity after temperature compensation, and the third time window records whether the acid value shows an upward trend. This forms a multi-window observation structure around the same baseline moment of the event.

[0025] Step two involves collecting real-time detection data of the liquid material based on the pre-processing baseline window, the first time window, the second time window, and the third time window. Event data corresponding to the processing events is recorded, forming a window sequence. Based on the pre-processing baseline window, the first time window, the second time window, and the third time window, time-stamped data is collected for the same batch of liquid material, and the collection time is matched with the event baseline time. Real-time detection data includes real-time temperature, real-time viscosity, and real-time acid value. Real-time temperature is obtained by a temperature detection unit installed in the liquid material flow pipeline or processing container; real-time viscosity is obtained by an online viscosity detection unit; and real-time acid value is obtained from online acid value detection records or data transmitted back from rapid sampling detection. The event data corresponding to the processing event includes the processing event type, processing event completion time, processing duration, liquid material batch information, flow information before and after processing, and process records related to deacidification, filtration, adsorption, blending, replenishment of new material, or reuse. Taking edible oil filtration as an example, after the completion time of filtration is determined, the real-time temperature, real-time viscosity, and real-time acid value within the baseline window before treatment are organized into the pre-treatment data segment. The same detection items within the first, second, and third time windows are organized into corresponding data segments, and temperature window sequence, viscosity window sequence, and acid value window sequence are formed according to the order of collection time. For data with inconsistent collection intervals, they are aligned and organized according to the same time scale, retaining the original detection values ​​and their corresponding window affiliation relationships, ensuring that the window sequence can reflect the continuous changes in temperature, viscosity, and acid value of liquid materials before and after the treatment event.

[0026] The i-th data collection point records the data collection time. Real-time temperature Real-time viscosity Real-time acid value and valid data identification . This indicates that the testing equipment is calibrated correctly and the data is complete. This indicates that the testing equipment calibration is abnormal, data is missing, or data exceeds the measurement range. The set of valid acquisition points in the k-th window is denoted as . , by satisfying and The collection points consist of; for Number of valid data collection points within the area.

[0027] The mean acid value of the k-th window is denoted as . .

[0028] The temperature window sequence and viscosity window sequence are respectively composed of within and according to The acid value window sequence is formed by ascending order. within according to The data is arranged in ascending order. Real-time acid values ​​are transmitted back from rapid sampling and detection, based on the sampling time. Placed into the corresponding window. Any window participating in the calculation satisfies When this happens, the window is marked as invalid, and risk management and control instructions are output through tiered dynamic control.

[0029] Step 3: Based on the window sequence and event data, generate temperature-compensated viscosity residuals corresponding to the baseline window before treatment, the first time window, the second time window, and the third time window, respectively, and generate the apparent improvement in acid value, viscosity residual hysteresis, event disturbance correction, and acid value rebound slope after treatment.

[0030] Based on the oil type, batch information, or blending formula information of the liquid material, a temperature-viscosity benchmark model corresponding to the liquid material is established or called. This temperature-viscosity benchmark model records the benchmark viscosity change relationship of the same type of liquid material under different temperature conditions. Based on the real-time temperature at each acquisition time in the temperature window sequence, the temperature-viscosity benchmark model generates a benchmark viscosity sequence corresponding to the same acquisition time. The viscosity window sequence and the benchmark viscosity sequence are compared in chronological order to obtain the degree of deviation of the viscosity window sequence from the benchmark viscosity sequence, and the temperature-compensated viscosity residuals corresponding to the pre-processing benchmark window, the first time window, the second time window, and the third time window are formed respectively. A temperature-viscosity baseline model is established using oil type, batch information, or blending formula information for the liquid material, with model index j. The model coefficients corresponding to model index j are... and Temperature and viscosity data from stable monitoring records of similar liquid materials were obtained using least-squares regression and written into preset control parameters. The current liquid material did not match model index j, or the model coefficients... When missing, the corresponding temperature-compensated viscosity residual is recorded as invalid, and the graded dynamic control outputs risk management control instructions. Real-time temperature The unit is Celsius, and the converted thermodynamic temperature is... for Add 273.15.

[0031] The reference viscosity corresponding to the i-th sampling point is denoted as . .

[0032] The temperature-compensated viscosity residual corresponding to the k-th window is denoted as . .

[0033] In the formula, j is the model index corresponding to the type of liquid material oil, batch category, or blending formula; and These are the coefficients of the temperature viscosity reference model; For real-time temperature The corresponding reference viscosity; The temperature-compensated viscosity residual corresponds to the k-th window; and The units are consistent.

[0034] Taking oil-containing blended liquid materials as an example, when the ratio of soybean oil to rapeseed oil in the blending formula changes, the corresponding temperature viscosity benchmark model is called according to the blending formula information to avoid viscosity judgment deviation caused by temperature rise or fall or difference in the basic viscosity of the formula. The apparent improvement in acid value is denoted as .

[0035] In the formula, To process the average acid value of the previous baseline window, The average acid value within the first time window. The denominator is a positive number for protection parameters.

[0036] The viscosity residual hysteresis is denoted as .

[0037] In the formula, To handle the temperature-compensated viscosity residual corresponding to the previous reference window, The viscosity residual is compensated for by temperature in the second time window. The reference value for residual normalization. The denominator is a positive number for protection parameters.

[0038] The slope of acid value rebound after treatment is denoted as , This is the arithmetic mean of the effective collection times within the third time window.

[0039] In the formula, This is the set of valid data collection points for the third time window. for Number of valid data collection points within the area This represents the average acid value within the third time window. If there are fewer than two effective acid value collection points, or if the effective collection times are not different, If deemed invalid, the risk management and control instructions will be output through tiered dynamic regulation.

[0040] The event disturbance correction is denoted as .

[0041] This means that the calculated value is limited to the range [0,1], with values ​​less than 0 counted as 0 and values ​​greater than 1 counted as 1.

[0042] In the formula, The duration of the processed event in the event data. The baseline duration for similar events; and These are the reference values ​​for material flow before and after the event in the event data, respectively. For the intensity of the event, This serves as the baseline value for the event intensity. To handle event types, To handle event types The corresponding event type coefficient. Select the appropriate event from the process records based on the event type, choosing from one of the following: dosage, proportion change, reuse ratio, filtration differential pressure, filtration flux, or deacidifying agent dosage. If multiple candidate records exist for the same event, the value of the field corresponding to the event type in the preset control parameters will be used. If the event type, event duration, material flow reference value before the event, material flow reference value after the event, or event intensity corresponding to the event type is missing, the event disturbance correction will be recorded as invalid, and the tiered dynamic control will output risk disposal control instructions. and Let be the weighting coefficient, satisfying and ; and The denominator is a positive number for protection parameters. and All are written into the preset control parameters.

[0043] For example, after the edible oil adsorption treatment is completed, the acid value drops rapidly in the first time window. If the temperature-compensated viscosity residual does not recover to the baseline level before treatment in the second time window, and the acid value shows an upward trend in the third time window, then the apparent improvement in acid value, the hysteresis of viscosity residual, the correction for event disturbance, and the rebound slope of acid value after treatment together reflect the actual quality change process of this batch of liquid material after the treatment event.

[0044] Step 4: Generate an acid value masking index based on the apparent improvement in acid value, the viscosity residual hysteresis, and the event disturbance correction; generate an acid value reliability correction coefficient and a collaborative control risk level based on the acid value masking index and the acid value rebound slope after treatment, and obtain preset control parameters.

[0045] The apparent improvement in acid value is normalized according to the acid value level of the same batch of liquid material in the baseline window before treatment. The viscosity residual hysteresis is converted according to the boundary value of the target residual range. The event disturbance correction is corrected and superimposed according to the type of treatment event, treatment duration, material flow rate change and process record to obtain the acid value masking index, which reflects whether the decrease in acid value is affected by the short-term impact of the treatment event. Acid value masking index is denoted as .

[0046] In the formula, This represents the apparent improvement in acid value. This is the viscosity residual hysteresis. This is the correction amount for event disturbance. and To mask the exponential weights, satisfy and .

[0047] The acid value confidence correction factor is denoted as .

[0048] In the formula, The basic reliability coefficient for acid value testing is based on the calibration status of the acid value testing equipment, sampling method, and valid data identification. It is confirmed that the value range is [0,1]. and As a credibility decay weight, satisfying and ; The first masking threshold, The second rebound threshold, The third credibility threshold, The slope of acid value rebound after treatment. As a reference value for the normalized rebound slope, The denominator is a positive number for protection parameters.

[0049] The risk level of coordinated regulation is determined based on the acid value masking index, the acid value rebound slope after treatment, the acid value confidence correction coefficient, and the temperature-compensated viscosity residual corresponding to the second time window. Acid value masking index exceeding the first masking threshold, acid value rebound slope after treatment exceeding the second rebound threshold, and acid value confidence correction coefficient below a certain threshold are all considered risk levels. When the temperature-compensated viscosity residual corresponding to the second time window exceeds the target residual range, it is recorded as a risk trigger. As the number of risk triggers increases, the risk level corresponding to the coordinated control risk level does not decrease.

[0050] Taking edible oil adsorption treatment as an example, the acid value decreases significantly within the first time window, but the temperature-compensated viscosity residual corresponding to the second time window is still relatively high. In addition, the event data records a large amount of adsorbent added and a short homogenization time. Therefore, although the apparent improvement in acid value is high, the viscosity residual hysteresis and event disturbance correction will still increase the acid value masking index, thus avoiding the judgment that the batch of liquid material has stabilized based solely on the immediate decrease in acid value. The preset control parameters include the target acid value range, the target residual range, the first masking threshold, the second rebound threshold, the third confidence threshold, and the risk level limit; Preset control parameters also include Risk level mapping relationship and risk disposal instruction mapping relationship.

[0051] The target acid value range is from and The target residual range is determined to be... and The target acid value range is determined by product quality standards, enterprise internal control standards, or batch process procedures. The target residual range, threshold, model coefficients, weighting coefficients, event type coefficients, normalized reference values, and denominator protection parameters are determined by stable batch records of similar liquid materials, historical process records, testing equipment records, and quality verification records. Preset control parameters form version records, and the same version is maintained for the same batch of liquid materials within one graded dynamic control cycle.

[0052] Within the same graded dynamic control cycle, and Use the same unit of time; and Use the same acid value detection caliber; and Use the same temperature-compensated viscosity residual diameter; and and and Each uses the same measurement caliber; and The slope of acid value change is used as the standard for the same time unit.

[0053] When the acid value masking index exceeds the first masking threshold, or the acid value rebound slope after treatment exceeds the second rebound threshold, it is determined that the acid value detection result has a short-term risk of masking, the acid value reliability correction coefficient is reduced and the risk level of collaborative regulation is increased; when the acid value masking index does not exceed the first masking threshold, the acid value rebound slope after treatment does not exceed the second rebound threshold, and the temperature-compensated viscosity residual corresponding to the second time window is within the target residual range, it is determined that the acid value change and viscosity residual recovery are matched, the acid value reliability correction coefficient is increased and the risk level of collaborative regulation is reduced. For example, after the filtration of oily liquid materials is completed, if the acid value continues to rise within the third time window and the rise rate exceeds the second rebound threshold, even if the real-time acid value falls into the target acid value range for a short time, it will still be treated with a higher risk level of coordinated regulation. If the acid value masking index, the rebound rate of the acid value after treatment, and the temperature-compensated viscosity residual corresponding to the second time window are all within the limits of the preset regulation parameters, then a higher acid value confidence correction coefficient and a lower risk level of coordinated regulation will be applied.

[0054] Step 5: Based on the real-time detection data, the results obtained in Steps 3 and 4, and the preset control parameters, perform hierarchical dynamic control and output control commands.

[0055] Based on real-time detection data, the temperature-compensated viscosity residual, apparent improvement in acid value, viscosity residual hysteresis, event disturbance correction, and post-treatment acid value rebound slope obtained in step three, and the acid value masking index, acid value confidence correction coefficient, and collaborative control risk level obtained in step four, the same batch of liquid materials is subjected to graded dynamic control. Specifically, the real-time acid value is compared with the target acid value range, the temperature-compensated viscosity residual corresponding to the second time window is compared with the target residual range, the acid value masking index is compared with the first masking threshold, the post-treatment acid value rebound slope is compared with the second rebound threshold, the acid value confidence correction coefficient is compared with the third confidence threshold, and the collaborative control risk level is compared with the limit risk level. The current tiered dynamic control time is obtained and the data is validly identified as follows: The real-time acid value is recorded as When there is no effective real-time acid value, the tiered dynamic control system outputs risk management control instructions. Within the target acid value range Within the target residual range Not exceeding the first masking threshold The second rebound threshold was not exceeded. Not lower than Furthermore, if the risk level of coordinated regulation does not reach the limit risk level, a regulation instruction is output to allow the process to proceed to the next stage.

[0056] when If any of the aforementioned conditions in the coordinated control risk level are not met, a risk control instruction will be output according to the risk control instruction mapping relationship corresponding to the handling event type and the coordinated control risk level. Risk control instructions include one or more of the following: isothermal verification, filtration verification, re-adsorption, restricted blending, batch isolation, or cessation of treatment. When a control instruction results in the completion of a new handling event, that completion time will be used as the new... If no new processing event is completed, the original process will continue. .

[0057] For example, after the deacidification treatment of edible oil is completed, although the real-time acid value falls within the target acid value range, the temperature-compensated viscosity residual corresponding to the second time window is higher than the target residual range, and the acid value masking index exceeds the first masking threshold. In this case, control instructions for isothermal verification and extended homogenization are output. If the acid value rebound slope after treatment exceeds the second rebound threshold in the third time window, and the acid value confidence correction coefficient is lower than the third confidence threshold, the risk treatment intensity is increased, and control instructions for re-adsorption, limiting the blending ratio, or isolating the batch are output. If the risk level of coordinated control reaches the limit risk level, control instructions for stopping treatment or isolating the batch are output, and the graded dynamic control is repeated until the conditions for allowing entry into the next process are met or the risk treatment control instructions are maintained.

[0058] Example 2: Refer to Figure 4 A system for synergistic regulation of temperature, viscosity, and acid value of liquid materials, comprising: The baseline window construction module identifies processing events occurring in the same batch of liquid materials based on batch information, processing records, and process node information, determines the baseline time of the event, and uses the baseline time of the event as a time reference to delineate the pre-processing baseline window, the first time window, the second time window, and the third time window.

[0059] The window sequence formation module collects real-time detection data of liquid materials around the pre-processing baseline window, the first time window, the second time window, and the third time window, records the event data corresponding to the processing events, and forms a window sequence according to the corresponding time windows. Among them, the real-time detection data includes real-time temperature, real-time viscosity, and real-time acid value, and the window sequence includes temperature window sequence, viscosity window sequence, and acid value window sequence.

[0060] The viscosity residual generation module obtains a reference viscosity sequence based on the window sequence and event data, combined with the temperature viscosity benchmark model corresponding to the oil type information, batch information or blending formula information of the liquid material. Based on the degree of deviation of the viscosity window sequence from the reference viscosity sequence, it generates temperature-compensated viscosity residuals corresponding to the pre-processing reference window, the first time window, the second time window and the third time window, respectively.

[0061] The acid value variable generation module generates the apparent improvement in acid value based on the acid value window sequence corresponding to the baseline window before treatment and the acid value window sequence corresponding to the first time window; it generates the viscosity residual hysteresis based on the temperature-compensated viscosity residual corresponding to the baseline window before treatment and the temperature-compensated viscosity residual corresponding to the second time window; it generates the event disturbance correction based on event data; and it generates the acid value rebound slope after treatment based on the acid value window sequence corresponding to the third time window.

[0062] The masking index generation module comprehensively calculates the acid value masking index based on the apparent improvement in acid value, the hysteresis of viscosity residual, and the correction for event disturbance. The acid value masking index reflects the deviation between the immediate change in acid value after the treatment event and the recovery of viscosity residual after temperature compensation, and it also corrects for the impact of the treatment event on the acid value judgment result by combining the correction for event disturbance.

[0063] The coefficient level generation module generates an acid value confidence correction coefficient and a collaborative control risk level based on the acid value masking index and the acid value rebound slope after treatment, and obtains preset control parameters. The preset control parameters include the target acid value range, the target residual range, the first masking threshold, the second rebound threshold, the third confidence threshold, and the limit risk level.

[0064] The graded control output module performs graded dynamic control based on real-time detection data, temperature-compensated viscosity residual, acid value masking index, post-treatment acid value rebound slope, acid value reliability correction coefficient, collaborative control risk level, and preset control parameters. When the conditions for entering the next process are met, it outputs a control instruction allowing entry into the next process; when the conditions for entering the next process are not met, it outputs a risk disposal control instruction and repeats the graded dynamic control until the conditions for entering the next process are met or the risk disposal control instruction is maintained.

[0065] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for synergistically regulating the temperature, viscosity, and acid value of a liquid material, characterized in that, include: Step 1: In the continuous or batch processing of liquid materials, identify the processing events that occur in the same batch of liquid materials, determine the event reference time corresponding to the processing event, and construct the pre-processing reference window, the first time window, the second time window and the third time window based on the event reference time. Step 2: Based on the pre-processing baseline window, the first time window, the second time window, and the third time window, collect real-time detection data of the liquid material, record the event data corresponding to the processing events, and form a window sequence; Step 3: Based on the window sequence and event data, generate temperature-compensated viscosity residuals corresponding to the baseline window before treatment, the first time window, the second time window, and the third time window, respectively, and generate the apparent improvement in acid value, the viscosity residual hysteresis, the event disturbance correction, and the acid value rebound slope after treatment. Step 4: Generate an acid value masking index based on the apparent improvement in acid value, the viscosity residual hysteresis, and the event disturbance correction; generate an acid value confidence correction coefficient and a collaborative control risk level based on the acid value masking index and the acid value rebound slope after treatment, and obtain preset control parameters. Step 5: Based on the real-time detection data, the results obtained in Steps 3 and 4, and the preset control parameters, perform hierarchical dynamic control and output control commands.

2. The method for synergistic regulation of temperature, viscosity, and acid value of liquid materials according to claim 1, characterized in that, The liquid material is edible oil or oil-containing liquid material, and the processing events include at least one of the following: deacidification treatment, filtration treatment, adsorption treatment, blending treatment, replenishment of new material treatment or reuse treatment; the event reference time is the completion time of the processing event.

3. The method for synergistic adjustment of temperature, viscosity, and acid value of liquid materials according to claim 2, characterized in that, The pre-treatment baseline window corresponds to the baseline mass state of the liquid material before the treatment event occurs. The first time window corresponds to the instantaneous change in the acid value of the liquid material after the treatment event is completed. The second time window corresponds to the recovery state of the temperature-compensated viscosity residual of the liquid material after the treatment event is completed. The third time window corresponds to the continuous rebound state of the acid value of the liquid material after the treatment event is completed.

4. The method for synergistic adjustment of temperature, viscosity, and acid value of liquid materials according to claim 3, characterized in that, Real-time monitoring data includes real-time temperature, real-time viscosity, and real-time acid value. The window sequences include temperature window sequences, viscosity window sequences, and acid value window sequences.

5. The method for synergistic adjustment of temperature, viscosity, and acid value of liquid materials according to claim 4, characterized in that, The generation of temperature-compensated viscosity residuals specifically includes: establishing or calling a temperature-viscosity benchmark model corresponding to the liquid material based on the oil type, batch information, or blending formula information of the liquid material; generating a benchmark viscosity sequence from the temperature-viscosity benchmark model based on the temperature window sequence; and generating temperature-compensated viscosity residuals corresponding to the pre-treatment benchmark window, the first time window, the second time window, and the third time window, respectively, based on the degree of deviation of the viscosity window sequence from the benchmark viscosity sequence.

6. The method for synergistic adjustment of temperature, viscosity, and acid value of liquid materials according to claim 1, characterized in that, In step three, the apparent improvement in acid value is generated based on the acid value window sequence corresponding to the baseline window before processing and the acid value window sequence corresponding to the first time window. Based on the temperature-compensated viscosity residual corresponding to the baseline window before processing and the temperature-compensated viscosity residual corresponding to the second time window, a viscosity residual hysteresis is generated; an event disturbance correction is generated based on the event data. Based on the acid value window sequence corresponding to the third time window, the acid value rebound slope after processing is generated.

7. The method for synergistic adjustment of temperature, viscosity, and acid value of liquid materials according to claim 6, characterized in that, The preset control parameters include the target acid value range, the target residual range, the first masking threshold, the second rebound threshold, the third confidence threshold, and the risk level limit; When the acid value masking index exceeds the first masking threshold, or the acid value rebound slope after treatment exceeds the second rebound threshold, the acid value confidence correction coefficient is reduced and the risk level of coordinated regulation is increased. When the acid value masking index does not exceed the first masking threshold, the acid value rebound slope after treatment does not exceed the second rebound threshold, and the temperature-compensated viscosity residual corresponding to the second time window is within the target residual range, the acid value confidence correction coefficient is increased and the collaborative control risk level is reduced.

8. The method for synergistic adjustment of temperature, viscosity, and acid value of liquid materials according to claim 7, characterized in that, In the graded dynamic control in step five, if the real-time acid value, the temperature-compensated viscosity residual corresponding to the second time window, the acid value masking index, the acid value rebound slope after treatment, the acid value confidence correction coefficient, and the collaborative control risk level meet the requirements of being within the target acid value range, within the target residual range, not exceeding the first masking threshold, not exceeding the second rebound threshold, not lower than the third confidence threshold, and not reaching the limit risk level, respectively, then a control instruction allowing entry into the next process is output; otherwise, a risk disposal control instruction is output, and graded dynamic control is repeated until the conditions for allowing entry into the next process are met or the risk disposal control instruction is maintained.

9. A method for synergistic adjustment of temperature, viscosity, and acid value of liquid materials according to claim 8, characterized in that, Risk management control instructions include at least one of the following control instructions output based on the risk level of coordinated control: constant temperature verification, secondary filtration, re-adsorption, extended homogenization, limiting blending ratio, adjusting material reflux ratio, reducing processing temperature, isolating batches, or stopping processing.

10. A system for synergistically regulating the temperature, viscosity, and acid value of a liquid material, applied to the method for synergistically regulating the temperature, viscosity, and acid value of a liquid material as described in any one of claims 1-9, characterized in that, include: The baseline window construction module is used to identify processing events occurring in the same batch of liquid materials, determine the baseline time of the event, and construct the pre-processing baseline window, the first time window, the second time window, and the third time window; The window sequence forming module is used to collect real-time detection data, record event data, and form a window sequence based on the pre-processing baseline window, the first time window, the second time window, and the third time window. The viscosity residual generation module is used to generate temperature-compensated viscosity residuals corresponding to the pre-processing baseline window, the first time window, the second time window, and the third time window, respectively, based on the window sequence and event data. The acid value variable generation module is used to generate the apparent improvement in acid value, viscosity residual hysteresis, event disturbance correction, and acid value rebound slope after treatment based on the window sequence and event data. The masking index generation module is used to generate the acid value masking index based on the apparent improvement in acid value, the viscosity residual hysteresis, and the event disturbance correction. The coefficient level generation module is used to generate acid value confidence correction coefficient and collaborative regulation risk level based on acid value masking index and acid value rebound slope after treatment, and to obtain preset regulation parameters; The graded control output module is used to perform graded dynamic control and output control commands based on real-time detection data, temperature-compensated viscosity residual, acid value masking index, acid value rebound slope after treatment, acid value confidence correction coefficient, collaborative control risk level, and preset control parameters.

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