A melt plasticizing extrusion control method and system

Abstract

The present invention discloses a melt plasticizing extrusion control method and system, which relates to the field of plastic processing technology. The method comprises: performing plasticizing extrusion quality monitoring of a target product of a target extruder within a preset monitoring window, generating an extrusion quality record sequence; determining an extrusion quality fluctuation factor; obtaining K heat change curves, generating a melting temperature interval of a target product; generating a target melting temperature interval; performing temperature monitoring, obtaining a monitoring temperature set; determining a target melting temperature deviation value, configuring control parameters according to the target melting temperature deviation value, obtaining a target control parameter set; transmitting the target control parameter set to a control unit of a target extruder for parameter adjustment. The present invention solves the technical problem in the prior art that the melting temperature interval of a product is not accurately determined, resulting in poor extrusion quality, and achieves the technical effect of improving the accuracy of melt plasticizing extrusion control.

Description

Technical Field

[0001] The invention relates to the technical field of plastic processing, and in particular to a melt plasticizing extrusion control method and system. Background Art

[0002] In the production process of plastic products, plastic extrusion is a key process. However, if the melting temperature range of the product is not accurately determined during plastic extrusion, poor extrusion quality may result. In addition, unstable melt temperature will also lead to inconsistent extrusion speed, further affecting the dimensional accuracy and appearance quality of the product. Therefore, accurate control of the melting temperature range of plastics is an important link to ensure the quality of extruded products. At present, when controlling melt plastic extrusion, the melting temperature range of the product is not accurately determined, and the extruder cannot be adaptively adjusted and controlled, resulting in poor extrusion quality. Summary of the invention

[0003] The present application provides a melt plasticizing extrusion control method and system, which are used to solve the technical problem in the prior art of inaccurately determining the melting temperature range of the product, resulting in poor extrusion quality.

[0004] In view of the above problems, the present application provides a melt plasticizing extrusion control method and system.

[0005] In a first aspect of the present application, a melt plasticizing extrusion control method is provided, the method comprising:

[0006] Perform plasticizing extrusion quality monitoring of a target product of a target extruder within a preset monitoring window, and generate an extrusion quality record sequence;

[0007] Analyzing the extrusion quality record sequence based on a preset melting quality index, and determining an extrusion quality fluctuation factor according to the analysis result;

[0008] Using a differential scanning calorimeter to test the melting temperature of K product raw material samples, obtaining K heat change curves, and performing scattered point edge recognition on the K heat change curves to generate the melting temperature range of the target product;

[0009] Correcting the melting temperature range based on the extrusion quality fluctuation factor to generate a target melting temperature range;

[0010] Continuously monitoring the temperature of the melting zone of the target extruder in a preset continuous monitoring window to obtain a monitoring temperature set;

[0011] Determining a target melting temperature deviation value based on the monitoring temperature set and the target melting temperature interval, configuring control parameters according to the target melting temperature deviation value, and obtaining a target control parameter set, wherein the target control parameters include heating temperature, heating time, and melting pressure;

[0012] The target control parameter set is transmitted to a control unit of a target extruder for parameter adjustment.

[0013] The second aspect of the present application provides a melt plasticizing extrusion control system, the system comprising:

[0014] An extrusion quality record sequence generation module is used to perform plasticizing extrusion quality monitoring of a target product of a target extruder within a preset monitoring window and generate an extrusion quality record sequence;

[0015] An extrusion quality fluctuation factor determination module, used for analyzing the extrusion quality record sequence based on a preset melting quality index, and determining the extrusion quality fluctuation factor according to the analysis result;

[0016] A melting temperature interval generation module is used to perform melting temperature tests on K product raw material samples using a differential scanning calorimeter to obtain K heat change curves, and perform scattered point edge recognition on the K heat change curves to generate a melting temperature interval of the target product;

[0017] A target melting temperature interval generating module, used for correcting the melting temperature interval based on the extrusion quality fluctuation factor to generate a target melting temperature interval;

[0018] A monitoring temperature set acquisition module, used for continuously monitoring the temperature of the melting zone of the target extruder in a preset continuous monitoring window to obtain a monitoring temperature set;

[0019] a target control parameter set acquisition module, used to determine a target melting temperature deviation value based on the monitoring temperature set and the target melting temperature interval, configure control parameters according to the target melting temperature deviation value, and obtain a target control parameter set, wherein the target control parameters include heating temperature, heating time, and melting pressure;

[0020] The parameter adjustment module is used to transmit the target control parameter set to the control unit of the target extruder for parameter adjustment.

[0021] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0022] The present application generates an extrusion quality record sequence by performing plasticized extrusion quality monitoring of the target product of the target extruder within a preset monitoring window, and then analyzes the extrusion quality record sequence based on a preset melting quality index, determines the extrusion quality fluctuation factor according to the analysis result, and then uses a differential scanning calorimeter to test the melting temperature of K product raw material samples, obtains K heat change curves, and performs scattered edge recognition on the K heat change curves to generate the melting temperature range of the target product, corrects the melting temperature range based on the extrusion quality fluctuation factor, generates the target melting temperature range, and then continuously monitors the temperature of the melting zone of the target extruder in the preset continuous monitoring window to obtain a monitoring temperature set, determines the target melting temperature deviation value based on the monitoring temperature set and the target melting temperature range, and configures the control parameters according to the target melting temperature deviation value to obtain a target control parameter set, wherein the target control parameters include heating temperature, heating time, and melting pressure, and then transmits the target control parameter set to the control unit of the target extruder for parameter adjustment. The technical effect of improving the reliability of parameter control and improving the quality of melt plasticized extrusion is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 A schematic diagram of a melt plasticizing extrusion control method provided in an embodiment of the present application;

[0025] Figure 2 A schematic diagram of the structure of a melt plasticizing extrusion control system provided in an embodiment of the present application.

[0026] Explanation of the accompanying drawings: extrusion quality record sequence generating module 11, extrusion quality fluctuation factor determining module 12, melting temperature interval generating module 13, target melting temperature interval generating module 14, monitoring temperature set obtaining module 15, target control parameter set obtaining module 16, parameter adjusting module 17. DETAILED DESCRIPTION

[0027] The present application provides a melt plasticizing extrusion control method and system, which is used to solve the technical problem in the prior art that the melting temperature range of the product is not accurately determined, resulting in poor extrusion quality.

[0028] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0029] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices. Embodiment 1

[0030] like Figure 1 As shown, the present application provides a melt plasticizing extrusion control method, wherein the method comprises:

[0031] Step S100: performing plasticizing extrusion quality monitoring of a target product of a target extruder within a preset monitoring window, and generating an extrusion quality record sequence;

[0032] In one possible embodiment, in order to analyze the degree of fluctuation of the quality of the products produced by the target extruder, the plasticized extrusion quality of the processed products is monitored within a preset monitoring window, and key parameters and quality indicators are recorded during the monitoring process to generate the extrusion quality record sequence. The preset monitoring window is a monitoring time period set by a person skilled in the art, for example, the monitoring window is set from the 10th minute to the 60th minute after the extruder is turned on, at which time the extruder reaches a stable working state and continuously produces the target product.

[0033] By installing monitoring equipment such as temperature sensors and pressure sensors at key parts of the extruder (such as the extruder head, mold, etc.), key parameters such as temperature and pressure during the extrusion process can be recorded in real time. At the same time, the melt index and other data of the produced products are recorded, and the recorded data are arranged in chronological order to obtain the extrusion quality record sequence. The technical effect of providing basic analysis data for subsequent correction of the melt temperature range in combination with the actual production situation of the extruder is achieved.

[0034] Step S200: analyzing the extrusion quality record sequence based on a preset melting quality index, and determining an extrusion quality fluctuation factor according to the analysis result;

[0035] Furthermore, the preset melting quality indicators include melt index, thermal stability and melt viscosity.

[0036] In one embodiment, the preset melt quality index is used as an index to extract data from the extrusion quality record sequence to obtain a melt index set, a thermal stability set, and a melt viscosity set. Variance calculations are performed on the melt index set, the thermal stability set, and the melt viscosity set, respectively, and the calculation results are used as melt index fluctuation factors, thermal stability fluctuation factors, and melt viscosity fluctuation factors. The larger the variance, the greater the volatility of the corresponding index, and the worse the extruder production stability.

[0037] The melt index refers to the mass of the melt flowing out of the molten plastic through the die head per unit time under a preset temperature and a preset load. The thermal stability refers to the ability of the plastic to maintain its performance at high temperatures. The melt viscosity refers to the viscosity of the plastic in the molten state.

[0038] The melt index fluctuation factor, thermal stability fluctuation factor and melt viscosity fluctuation factor are weightedly calculated according to a weight ratio preset by a person skilled in the art, and the weighted calculation result is used as the extrusion quality fluctuation factor, thereby achieving the technical effect of quantifying the working stability of the extruder.

[0039] Step S300: using a differential scanning calorimeter to perform a melting temperature test on K product raw material samples to obtain K heat change curves, and performing scattered point edge recognition on the K heat change curves to generate a melting temperature range of the target product;

[0040] Further, a differential scanning calorimeter is used to test the melting temperature of K product raw material samples to obtain K heat change curves. Step S300 of the embodiment of the present application further includes:

[0041] The K product raw material samples are placed in an aluminum crucible, and the aluminum crucible is placed in a sample holder of a differential scanning calorimeter that has completed baseline calibration;

[0042] K product raw material samples are heated at a preset heating rate until a preset heating temperature is reached, and a recording curve of a differential scanning calorimeter is derived to generate K initial heat change curves;

[0043] The K initial heat change curves are traversed to perform data cleaning and determine K heat change curves.

[0044] In one possible embodiment, in order to determine the melting temperature range of the raw materials of the target product in the extruder, K product raw material samples must first be tested to determine the melting temperature range that meets the raw material conditions themselves. The differential scanning calorimeter is an instrument that measures the temperature and heat flow relationship related to the internal thermal transition of the material. By testing the K product raw material samples with the differential scanning calorimeter, accidental errors can be effectively avoided and the accuracy of analysis can be improved. The K heat change curves reflect the melting and crystallization conditions of the K product raw material samples. Furthermore, by performing scattered point edge recognition on the K heat change curves, the melting temperature range of the raw materials that meet the target product batch can be effectively determined.

[0045] In one embodiment, the K product raw material samples are placed in aluminum crucibles respectively, and the aluminum crucibles are placed in a sample holder of a differential scanning calorimeter that has completed baseline calibration. Optionally, baseline calibration can be achieved by performing a blank test on the differential scanning calorimeter using two empty crucibles under the same temperature conditions.

[0046] The preset heating rate is the amplitude of the temperature increase per unit time set by a technician in this field. The preset heating temperature is the temperature value that needs to be heated to set by a technician in this field. Optionally, K product raw material samples are heated at a preset heating rate until the preset heating temperature is reached, for example, from room temperature to 300°C, with a heating rate of 10°C / minute or 20°C / minute. At this time, the recording curves of the differential scanning calorimeter are derived respectively to obtain K initial heat change curves. Optionally, the missing values ​​and breakpoints in the K initial heat change curves are filled, and the outliers are eliminated using the box plot method to obtain the K heat change curves that have been cleaned.

[0047] Furthermore, step S300 of the embodiment of the present application further includes:

[0048] Aligning the K heat change curves based on the same period of time, and numbering the K heat change curves according to the order of the start nodes of the curves to generate K heat change curve numbers, wherein the K heat change curve numbers correspond to the K heat change curves one by one;

[0049] Extracting the first curve starting point and the first curve end point of the K heat change curves respectively, and mapping the extraction results according to the numbers of the K heat change curves to determine the first curve starting point sequence and the first curve end point sequence, wherein the first curve starting point is the peak start point of the melting peak of the heat change curve, and the first curve end point is the peak end point of the melting peak of the heat change curve;

[0050] The melting temperature interval is generated by performing scattered point edge recognition based on the first curve starting point sequence and the first curve end point sequence.

[0051] Furthermore, step S300 of the embodiment of the present application further includes:

[0052] Extracting intermediate values ​​of K first curve starting points of the first curve starting point sequence to obtain intermediate values ​​of the first curve starting points;

[0053] Taking the middle value of the starting point of the first curve as the starting point, determining the first recognition temperature interval according to the preset edge recognition step length;

[0054] The first identified temperature interval is moved to the left of the left end point and to the right of the right end point according to a preset edge identification step length to obtain a second identified temperature interval;

[0055] Determine whether the distribution density difference between the first identified temperature interval and the second identified temperature interval meets a preset difference threshold, and if so, perform mean processing on multiple first curve starting points in the first identified temperature interval to obtain the interval left endpoint;

[0056] Extracting the middle value of K first curve endpoints of the first curve endpoint sequence, and using the middle value of the first curve endpoint as the starting point, performing scattered point edge recognition on the first curve endpoint sequence to obtain the right endpoint of the interval;

[0057] The melting temperature interval is generated according to the interval left endpoint and the interval right endpoint.

[0058] Furthermore, step S300 of the embodiment of the present application further includes:

[0059] If not, the second identified temperature interval is moved to the left of the left end point and to the right of the right end point according to the preset edge identification step length to obtain a third identified temperature interval;

[0060] Determine whether the distribution density difference between the second identification temperature interval and the third identification temperature interval meets a preset difference threshold, and if so, perform mean processing on multiple first curve starting points in the second identification temperature interval to obtain the interval left endpoint;

[0061] If not, scattered point edge recognition is performed based on the third identified temperature interval to determine the left endpoint of the interval.

[0062] In a possible embodiment, the comparable time is the start time of the test. Based on this, the K heat change curves are aligned and numbered in the order of the start nodes of the curves to generate K heat change curve numbers, wherein the K heat change curve numbers correspond one-to-one to the K heat change curves.

[0063] The K heat change curves have peaks and valleys. The peak is a melting peak, corresponding to the melting process of the plastic. The peak starting point of the melting peak in the heat change curve is used as the starting point of the first curve, and the peak ending point of the melting peak in the heat change curve is used as the end point of the first curve.

[0064] The first curve starting point and the first curve end point are extracted for the K heat change curves respectively, and the extraction results are mapped according to the numbers of the K heat change curves to determine the first curve starting point sequence and the first curve end point sequence. The first curve starting point sequence reflects the time sequence when the K product raw material samples start to melt. The first curve end point sequence reflects the time sequence when the K product raw material samples end to melt.

[0065] The intermediate values ​​of the K first curve starting points of the first curve starting point sequence are extracted to obtain the intermediate values ​​of the first curve starting points, and then the first identification temperature interval is determined according to the preset edge identification step length with the intermediate values ​​of the first curve starting points as the starting point. The preset edge identification step length is the temperature amplitude of the unilateral movement when performing interval identification set by the technicians in this field. The intermediate value of the first curve starting point is taken as the starting point, and the preset edge identification step length is moved to both sides of the starting point according to the preset edge identification step length to obtain the two endpoints of the first identification temperature interval. The first distribution density of the first identification temperature interval is obtained by counting the number of first curve starting points contained in the first identification temperature interval, and then comparing the statistical result with the length of the first identification temperature interval. The first distribution density reflects the density of the first curve starting points distributed in the first identification temperature interval.

[0066] Then, the first identified temperature interval is moved to the left of the left end point and to the right of the right end point according to the preset edge identification step length to obtain a second identified temperature interval. Based on the same principle as the first distribution density, a second distribution density of the second identified temperature interval is obtained.

[0067] Determine whether the distribution density difference between the first identification temperature interval and the second identification temperature interval (the difference between the first distribution density and the second distribution density) meets the preset difference threshold. If so, it indicates that the first identification temperature interval can already represent the temperature distribution of the first curve starting point sequence, then perform mean processing on multiple first curve starting points within the first identification temperature interval to obtain the left endpoint of the interval.

[0068] If not, the second identified temperature interval is moved to the left of the left end point and to the right of the right end point according to the preset edge identification step length to obtain a third identified temperature interval;

[0069] Based on the same principle of obtaining the first distribution density, the third distribution density of the third identified temperature interval is determined, and then, it is judged whether the distribution density difference between the second identified temperature interval and the third identified temperature interval meets the preset difference threshold. If so, the mean value of the multiple first curve starting points in the second identified temperature interval is processed to obtain the left endpoint of the interval. If not, scattered point edge recognition is performed based on the third identified temperature interval until the distribution density difference between two adjacent identified temperature intervals meets the preset difference threshold, at which time the left endpoint of the interval is determined.

[0070] Based on the same principle as the left endpoint of the interval, the middle value of the K first curve endpoints of the first curve endpoint sequence is extracted, and the middle value of the first curve endpoint is used as the starting point to perform scattered point edge recognition on the first curve endpoint sequence to obtain the right endpoint of the interval. The melting temperature interval is generated according to the left endpoint of the interval and the right endpoint of the interval.

[0071] Step S400: correcting the melting temperature range based on the extrusion quality fluctuation factor to generate a target melting temperature range;

[0072] In one possible embodiment, the target extrusion quality fluctuation factor of the raw material of the target product (the quality fluctuation of the extruded product of the extruder under the standard working state) is extracted, and the ratio of the extrusion quality fluctuation factor to the target extrusion quality fluctuation factor is used as a correction factor. The correction factor is multiplied by the melting temperature range to obtain the target melting temperature range. The goal of correcting the melting temperature range according to the actual working fluctuation of the extruder is achieved.

[0073] Step S500: continuously monitoring the temperature of the melting zone of the target extruder in a preset continuous monitoring window to obtain a monitoring temperature set;

[0074] In a possible embodiment, the preset monitoring window is a monitoring time period pre-set by a person skilled in the art. The temperature of the melting zone of the target extruder is monitored by using a thermocouple, a thermometer or the like, and the monitoring data is read to obtain the monitoring temperature set. The monitoring temperature set reflects the temperature change of the melting zone when the extruder is actually working.

[0075] Step S600: determining a target melting temperature deviation value based on the monitoring temperature set and the target melting temperature interval, configuring control parameters according to the target melting temperature deviation value, and obtaining a target control parameter set, wherein the target control parameters include heating temperature, heating time, and melting pressure;

[0076] Step S700: transmitting the target control parameter set to a control unit of a target extruder for parameter adjustment.

[0077] Further, a target melting temperature deviation value is determined based on the monitoring temperature set and the target melting temperature range, and control parameters are configured according to the target melting temperature deviation value to obtain a target control parameter set. Step S600 of the embodiment of the present application further includes:

[0078] Traversing the monitoring temperature set to perform mean calculation and determine the mean of the monitoring temperatures;

[0079] Calculate the difference between the monitored temperature mean and the central melting temperature of the target melting temperature interval to determine the target melting temperature deviation value;

[0080] Build control parameters to configure the network layer;

[0081] The control parameter configuration network layer is used to identify the target melt temperature deviation value and the target extruder parameter range, and determine a target control parameter set.

[0082] In one possible embodiment, a target melting temperature deviation value is determined based on the monitoring temperature set and the target melting temperature interval, and then control parameters are configured based on the target melting temperature deviation value to obtain a target control parameter set, wherein the target control parameters include heating temperature, heating time, and melting pressure. The target control parameter set is transmitted to the control unit of the target extruder for parameter adjustment. The technical effect of improving control accuracy by configuring control parameters according to the actual situation of the extruder and the actual melting temperature interval of the raw materials of the target product is achieved.

[0083] In one embodiment, the monitoring temperature set is traversed to perform mean calculation to determine the monitoring temperature mean. Further, the monitoring temperature mean is calculated with the central melting temperature of the target melting temperature interval to determine the target melting temperature deviation. The target melting temperature deviation is a temperature deviation that needs to be corrected. The control parameter configuration network layer is used to perform intelligent extruder parameter configuration according to the actual situation of the extruder and the target melting temperature deviation that needs to be corrected.

[0084] Optionally, multiple sample melt temperature deviation values, multiple sample extruder parameter ranges, and multiple sample control parameter sets are obtained as training data, and the training data is used to perform supervised training on the network layer constructed based on the convolutional neural network. During the training, the two-to-one mapping relationship between the melt temperature deviation value and the extruder parameter range and the control parameter set is learned until the model output reaches convergence, and the control parameter configuration network layer that has been trained is obtained. Then, the target melt temperature deviation value and the target extruder parameter range are input into the control parameter configuration network layer for identification to determine the target control parameter set.

[0085] In summary, the embodiments of the present application have at least the following technical effects:

[0086] The present application generates an extrusion quality record sequence by performing plasticized extrusion quality monitoring of the target product of the target extruder within a preset monitoring window, then determines the extrusion quality fluctuation factor based on the analysis result, obtains K heat change curves, and performs scattered edge recognition on the K heat change curves to generate the melting temperature range of the target product, corrects the melting temperature range based on the extrusion quality fluctuation factor, generates the target melting temperature range, and achieves the goal of correcting the melting temperature range according to the actual working state of the extruder, and then continuously monitors the temperature of the melting zone of the target extruder in the preset continuous monitoring window to obtain a monitoring temperature set, determines the target melting temperature deviation value based on the monitoring temperature set and the target melting temperature range, and configures the control parameters according to the target melting temperature deviation value to obtain a target control parameter set, wherein the target control parameters include heating temperature, heating time, and melting pressure, and then transmits the target control parameter set to the control unit of the target extruder for parameter adjustment. The technical effect of improving the control accuracy of the extruder and improving the quality of melt plasticized extrusion is achieved. Embodiment 2

[0087] Based on the same inventive concept as the melt plasticizing extrusion control method in the above embodiment, Figure 2 As shown, the present application provides a melt plasticizing extrusion control system, and the system and method embodiments in the present application embodiments are based on the same inventive concept. The system includes:

[0088] An extrusion quality record sequence generation module 11 is used to perform plasticizing extrusion quality monitoring of a target product of a target extruder within a preset monitoring window and generate an extrusion quality record sequence;

[0089] An extrusion quality fluctuation factor determination module 12 is used to analyze the extrusion quality record sequence based on a preset melting quality index and determine the extrusion quality fluctuation factor according to the analysis result;

[0090] The melting temperature interval generating module 13 is used to perform melting temperature tests on K product raw material samples using a differential scanning calorimeter to obtain K heat change curves, and perform scattered point edge recognition on the K heat change curves to generate the melting temperature interval of the target product;

[0091] A target melting temperature interval generating module 14, configured to correct the melting temperature interval based on the extrusion quality fluctuation factor to generate a target melting temperature interval;

[0092] A monitoring temperature set acquisition module 15 is used to continuously monitor the temperature of the melting zone of the target extruder in a preset continuous monitoring window to obtain a monitoring temperature set;

[0093] A target control parameter set obtaining module 16 is used to determine a target melting temperature deviation value based on the monitoring temperature set and the target melting temperature interval, configure control parameters according to the target melting temperature deviation value, and obtain a target control parameter set, wherein the target control parameters include heating temperature, heating time, and melting pressure;

[0094] The parameter adjustment module 17 is used to transmit the target control parameter set to the control unit of the target extruder for parameter adjustment.

[0095] Furthermore, the preset melting quality indicators include melt index, thermal stability and melt viscosity.

[0096] Furthermore, the melting temperature interval generating module 13 is used to perform the following steps:

[0097] The K product raw material samples are placed in an aluminum crucible, and the aluminum crucible is placed in a sample holder of a differential scanning calorimeter that has completed baseline calibration;

[0098] K product raw material samples are heated at a preset heating rate until a preset heating temperature is reached, and a recording curve of a differential scanning calorimeter is derived to generate K initial heat change curves;

[0099] The K initial heat change curves are traversed to perform data cleaning and determine K heat change curves.

[0100] Furthermore, the melting temperature interval generating module 13 is used to perform the following steps:

[0101] Aligning the K heat change curves based on the same period of time, and numbering the K heat change curves according to the order of the start nodes of the curves to generate K heat change curve numbers, wherein the K heat change curve numbers correspond to the K heat change curves one by one;

[0102] Extracting the first curve starting point and the first curve end point of the K heat change curves respectively, and mapping the extraction results according to the numbers of the K heat change curves to determine the first curve starting point sequence and the first curve end point sequence, wherein the first curve starting point is the peak start point of the melting peak of the heat change curve, and the first curve end point is the peak end point of the melting peak of the heat change curve;

[0103] The melting temperature interval is generated by performing scattered point edge recognition based on the first curve starting point sequence and the first curve end point sequence.

[0104] Furthermore, the melting temperature interval generating module 13 is used to perform the following steps:

[0105] Extracting intermediate values ​​of K first curve starting points of the first curve starting point sequence to obtain intermediate values ​​of the first curve starting points;

[0106] Taking the middle value of the starting point of the first curve as the starting point, determining the first recognition temperature interval according to the preset edge recognition step length;

[0107] The first identified temperature interval is moved to the left of the left end point and to the right of the right end point according to a preset edge identification step length to obtain a second identified temperature interval;

[0108] Determine whether the distribution density difference between the first identified temperature interval and the second identified temperature interval meets a preset difference threshold, and if so, perform mean processing on multiple first curve starting points in the first identified temperature interval to obtain the interval left endpoint;

[0109] Extracting the middle value of K first curve endpoints of the first curve endpoint sequence, and using the middle value of the first curve endpoint as the starting point, performing scattered point edge recognition on the first curve endpoint sequence to obtain the right endpoint of the interval;

[0110] The melting temperature interval is generated according to the interval left endpoint and the interval right endpoint.

[0111] Furthermore, the melting temperature interval generating module 13 is used to perform the following steps:

[0112] If not, the second identified temperature interval is moved to the left of the left end point and to the right of the right end point according to the preset edge identification step length to obtain a third identified temperature interval;

[0113] Determine whether the distribution density difference between the second identification temperature interval and the third identification temperature interval meets a preset difference threshold, and if so, perform mean processing on multiple first curve starting points in the second identification temperature interval to obtain the interval left endpoint;

[0114] If not, scattered point edge recognition is performed based on the third identified temperature interval to determine the left endpoint of the interval.

[0115] Furthermore, the target control parameter set obtaining module 16 is used to perform the following steps:

[0116] Traversing the monitoring temperature set to perform mean calculation and determine the mean of the monitoring temperatures;

[0117] Calculate the difference between the monitored temperature mean and the central melting temperature of the target melting temperature interval to determine the target melting temperature deviation value;

[0118] Build control parameters to configure the network layer;

[0119] The control parameter configuration network layer is used to identify the target melt temperature deviation value and the target extruder parameter range, and determine a target control parameter set.

[0120] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0121] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0122] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A melt plasticizing extrusion control method, characterized in that: The method comprises: Perform plasticizing extrusion quality monitoring of a target product of a target extruder within a preset monitoring window, and generate an extrusion quality record sequence; Analyzing the extrusion quality record sequence based on a preset melting quality index, and determining an extrusion quality fluctuation factor according to the analysis result; Using a differential scanning calorimeter to test the melting temperature of K product raw material samples, obtaining K heat change curves, and performing scattered point edge recognition on the K heat change curves to generate the melting temperature range of the target product; Correcting the melting temperature range based on the extrusion quality fluctuation factor to generate a target melting temperature range; Continuously monitoring the temperature of the melting zone of the target extruder in a preset continuous monitoring window to obtain a monitoring temperature set; Determining a target melting temperature deviation value based on the monitoring temperature set and the target melting temperature interval, configuring control parameters according to the target melting temperature deviation value, and obtaining a target control parameter set, wherein the target control parameters include heating temperature, heating time, and melting pressure; Transmitting the target control parameter set to a control unit of a target extruder for parameter adjustment; Wherein, generating the melting temperature range of the target product includes: Aligning the K heat change curves based on the same period of time, and numbering the K heat change curves according to the order of the start nodes of the curves to generate K heat change curve numbers, wherein the K heat change curve numbers correspond to the K heat change curves one by one; Extracting the first curve starting point and the first curve end point of the K heat change curves respectively, and mapping the extraction results according to the numbers of the K heat change curves to determine the first curve starting point sequence and the first curve end point sequence, wherein the first curve starting point is the peak start point of the melting peak of the heat change curve, and the first curve end point is the peak end point of the melting peak of the heat change curve; The melting temperature interval is generated by performing scattered point edge recognition based on the first curve starting point sequence and the first curve end point sequence.

2. A melt plasticizing extrusion control method as claimed in claim 1, characterized in that: The preset melting quality indicators include melt index, thermal stability and melt viscosity.

3. A melt plasticizing extrusion control method as claimed in claim 1, characterized in that: Use differential scanning calorimeter to test the melting temperature of K product raw material samples and obtain K heat change curves, including: The K product raw material samples are placed in an aluminum crucible, and the aluminum crucible is placed in a sample holder of a differential scanning calorimeter that has completed baseline calibration; K product raw material samples are heated at a preset heating rate until a preset heating temperature is reached, and a recording curve of a differential scanning calorimeter is derived to generate K initial heat change curves; The K initial heat change curves are traversed to perform data cleaning and determine K heat change curves.

4. A melt plasticizing extrusion control method as claimed in claim 1, characterized in that: include: Extracting intermediate values ​​of K first curve starting points in the first curve starting point sequence to obtain intermediate values ​​of the first curve starting points; Taking the middle value of the starting point of the first curve as the starting point, determining the first recognition temperature interval according to the preset edge recognition step length; The first identified temperature interval is moved to the left of the left end point and to the right of the right end point according to a preset edge identification step length to obtain a second identified temperature interval; Determine whether the distribution density difference between the first identified temperature interval and the second identified temperature interval meets a preset difference threshold, and if so, perform mean processing on multiple first curve starting points in the first identified temperature interval to obtain the interval left endpoint; Extracting the middle value of K first curve endpoints of the first curve endpoint sequence, and using the middle value of the first curve endpoint as the starting point, performing scattered point edge recognition on the first curve endpoint sequence to obtain the right endpoint of the interval; The melting temperature interval is generated according to the interval left endpoint and the interval right endpoint.

5. A melt plasticizing extrusion control method as claimed in claim 4, characterized in that: include: If not, the second identified temperature interval is moved to the left of the left end point and to the right of the right end point according to the preset edge identification step length to obtain a third identified temperature interval; Determine whether the distribution density difference between the second identification temperature interval and the third identification temperature interval meets a preset difference threshold, and if so, perform mean processing on multiple first curve starting points in the second identification temperature interval to obtain the interval left endpoint; If not, scattered point edge recognition is performed based on the third identified temperature interval to determine the left endpoint of the interval.

6. A melt-plasticizing extrusion control method according to claim 1, characterized in that: Determining a target melting temperature deviation value based on the monitoring temperature set and the target melting temperature interval, configuring control parameters according to the target melting temperature deviation value, and obtaining a target control parameter set, including: Traversing the monitoring temperature set to perform mean calculation and determine the mean of the monitoring temperatures; Calculate the difference between the monitored temperature mean and the central melting temperature of the target melting temperature interval to determine the target melting temperature deviation value; Build control parameters to configure the network layer; The control parameter configuration network layer is used to identify the target melt temperature deviation value and the target extruder parameter range, and determine a target control parameter set.

7. A melt plasticizing extrusion control system, characterized in that: The system is used to implement a melt-plasticizing extrusion control method according to any one of claims 1 to 6, and the system comprises: An extrusion quality record sequence generation module is used to perform plasticizing extrusion quality monitoring of a target product of a target extruder within a preset monitoring window and generate an extrusion quality record sequence; An extrusion quality fluctuation factor determination module, used for analyzing the extrusion quality record sequence based on a preset melting quality index, and determining the extrusion quality fluctuation factor according to the analysis result; A melting temperature interval generation module is used to perform melting temperature tests on K product raw material samples using a differential scanning calorimeter to obtain K heat change curves, and perform scattered point edge recognition on the K heat change curves to generate the melting temperature interval of the target product; A target melting temperature interval generating module, used for correcting the melting temperature interval based on the extrusion quality fluctuation factor to generate a target melting temperature interval; A monitoring temperature set acquisition module, used for continuously monitoring the temperature of the melting zone of the target extruder in a preset continuous monitoring window to obtain a monitoring temperature set; a target control parameter set acquisition module, used to determine a target melting temperature deviation value based on the monitoring temperature set and the target melting temperature interval, configure control parameters according to the target melting temperature deviation value, and obtain a target control parameter set, wherein the target control parameters include heating temperature, heating time, and melting pressure; The parameter adjustment module is used to transmit the target control parameter set to the control unit of the target extruder for parameter adjustment.

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