A cold pressed terminal processing control method, system and related equipment

Abstract

The present application relates to the field of terminal processing technology, and specifically to a cold-pressed terminal processing control method, system and related equipment, the method comprising: determining the temperature fluctuation intensity of each position point at each acquisition moment; determining the noise exclusion weight of each position point at each acquisition moment; determining the melt temperature difference of any section at each acquisition moment, and combining the change trend of the temperature fluctuation intensity of each position point at each acquisition moment and all adjacent moments, determining the temperature control response capability of the heating element in any section at each acquisition moment, and combining the significant situation of the grayscale values ​​of all pixels in the grayscale map of the plastic cold-pressed terminal, to control the temperature of the injection molding machine barrel. The present application improves the accuracy of temperature control during the processing of plastic cold-pressed terminals by comprehensively analyzing the temperature of the plastic melt in the barrel.

Description

Technical Field

[0001] The present application relates to the field of terminal processing technology, and in particular to a cold-pressed terminal processing control method, system and related equipment. Background Art

[0002] As an accessory product for achieving electrical connection, plastic cold-pressed terminals are made of polypropylene (PP) with high temperature resistance, electrical insulation and chemical stability. As a non-metallic cold-pressed terminal, plastic cold-pressed terminals made of PP are lightweight, insulating and corrosion-resistant. The injection molding process of plastic cold-pressed terminals has extremely high precision requirements. The fluctuation and temperature difference of the melt temperature will cause residual stress in the plastic, uneven strength at each point, and warping. In the actual processing control process, the barrel temperature is usually controlled to achieve the purpose of regulating the melt temperature.

[0003] The fuzzy PID control algorithm can adapt to the changes in injection molding parameters and external disturbances, and optimize the PID parameters using fuzzy logic and according to certain fuzzy rules, overcoming the shortcomings of the traditional PID control algorithm that cannot adjust the PID parameters in real time. However, in the injection molding process of plastic cold-pressed terminals, it is easily affected by factors such as friction heat and raw material quality, resulting in significant dynamic changes in the actual barrel temperature. The traditional fuzzy PID control algorithm uses a fixed range of fuzzy domains, which cannot quickly respond to dynamic changes in barrel temperature, reducing the accuracy of temperature control during the processing of plastic cold-pressed terminals. Summary of the invention

[0004] In a first aspect, an embodiment of the present application provides a cold-pressed terminal processing control method, the method comprising the following steps:

[0005] During the processing of plastic cold-pressed terminals, at each position point in any section of the injection molding machine barrel, the temperature data of each acquisition moment and all acquisition moments within a preset time period before it, as well as the grayscale image of the plastic cold-pressed terminal at the previous acquisition moment of each acquisition moment are obtained, and all acquisition moments within a preset time period before each acquisition moment are recorded as adjacent moments of each acquisition moment;

[0006] At each location point, the temperature data at each acquisition moment and all adjacent moments are fitted, and based on the difference between the temperature data at each acquisition moment and all adjacent moments and the corresponding fitting result, the temperature fluctuation intensity of each location point at each acquisition moment is determined;

[0007] Based on the change trend of the temperature fluctuation intensity of each position point at each acquisition moment and all adjacent moments, determine the temperature change trend of the injection molding machine barrel at each acquisition moment, and determine the noise exclusion weight of each position point at each acquisition moment in combination with the temperature fluctuation intensity;

[0008] In any section, based on the difference of temperature data between two positions at each acquisition time, and the difference of all temperature data between two positions at each acquisition time and all adjacent moments, the melt temperature difference of any section at each acquisition time is determined, and combined with the change trend of the temperature fluctuation intensity of each position at each acquisition time and all adjacent moments, and the noise exclusion weight, the temperature control response capability of the heating element in any section at each acquisition time is determined;

[0009] Based on the significance of the grayscale values ​​of all pixels in the grayscale image of the plastic cold-pressed terminal and the temperature control response capability, the expansion factor of any section at each acquisition moment is determined to regulate the temperature of the injection molding machine barrel.

[0010] Preferably, the method for determining the temperature fluctuation intensity of each location point at each acquisition time is:

[0011] At each position point on the barrel of the injection molding machine, the temperature data of all adjacent moments of each acquisition moment are fitted to obtain the temperature fitting curve of each position point at each acquisition moment, and the average of the differences between the temperature data of all adjacent moments of each acquisition moment and the corresponding fitting values ​​on the temperature fitting curve is taken as the temperature fluctuation intensity of each position point at each acquisition moment.

[0012] Preferably, the method for determining the temperature change trend of the injection molding machine barrel at each acquisition moment is:

[0013] At each location point, the temperature fluctuation intensity of all adjacent moments of each acquisition moment is used as the input of the trend detection algorithm, and the slope value of each location point at each acquisition moment is output;

[0014] The temperature change trend of the injection molding machine barrel at each sampling time is the normalized result of the average of the absolute values ​​of the slope values ​​of all position points in the injection molding machine barrel at each sampling time.

[0015] Preferably, the noise exclusion weight of each location point at each acquisition time is expressed as: ; In the formula, represents the noise exclusion weight of location j at acquisition time i; Indicates the temperature change trend of the injection molding machine barrel at the acquisition time i; Indicates the temperature fluctuation intensity at point j at acquisition time i.

[0016] Preferably, the method for determining the difference in melt temperature of any section at each collection time is:

[0017] In any section of the injection molding machine barrel, the difference in temperature data between two positions at each acquisition time is recorded as the first difference of any section at each acquisition time;

[0018] The difference of all temperature data between two positions in any section at each acquisition time and its adjacent time is recorded as the second difference of any section at each acquisition time;

[0019] The melt temperature difference of any section of the barrel of the injection molding machine at each sampling time is the product of the first difference and the second difference of any section at each sampling time.

[0020] Preferably, the expression of the temperature control response capability of the heating element in any section at each acquisition time is: ; In the formula, Indicates the temperature control response capability of the heating element in section u at the acquisition time i; It represents the mean of the slope values ​​of two points in section u at the acquisition time i; It represents the difference in melt temperature of section u at the acquisition time i; It represents the mean value of the noise exclusion weights of two points in section u at the acquisition time i.

[0021] Preferably, the method for determining the expansion and contraction factor of any section at each collection time is:

[0022] The grayscale image of the plastic cold-pressed terminal at the previous acquisition moment of each acquisition moment is used as the input of the saliency detection algorithm, and the saliency map is output, and the cumulative result of the saliency values ​​of all pixels in the saliency map is used as the terminal color factor at each acquisition moment;

[0023] The expansion factor of section u at the acquisition time i The expression is: ; In the formula, Indicates the preset stretch constant; represents the terminal color factor at the acquisition time i; norm( ) represents the normalization function.

[0024] Preferably, the temperature of the injection molding machine barrel is regulated, comprising:

[0025] Calculate the difference between the temperature data of each position point in any section at each acquisition time and the preset temperature, and take the average of the difference between two position points in any section as the temperature error of any section at each acquisition time;

[0026] Calculate the difference in temperature error of any section between each acquisition moment and the previous acquisition moment as the temperature error change rate of any section at each acquisition moment;

[0027] The temperature error and temperature error change rate of any section at each collection moment are used as the input of the fuzzy PID controller, wherein the expansion factor of any section at each collection moment is multiplied with each element in the preset initial fuzzy domain of the temperature error and each element in the preset initial fuzzy domain of the temperature error change rate, and the multiplication results are used as the temperature error fuzzy domain and the temperature error change rate fuzzy domain of any section at each collection moment, respectively. The membership function of the fuzzy PID controller adopts a triangular membership function, outputs the gain coefficient of any section at each collection moment, transmits the gain coefficient to the corresponding section of the injection molding machine barrel, and regulates the temperature data of the heating element in the corresponding section on the injection molding machine barrel at each collection moment.

[0028] In a second aspect, an embodiment of the present application provides a cold-pressed terminal processing control system, the system comprising:

[0029] The temperature data acquisition module is used in the process of processing plastic cold-pressed terminals. At each position point in any section on the barrel of the injection molding machine, the temperature data of each acquisition moment and all acquisition moments within a preset time period before the acquisition moment, as well as the grayscale image of the plastic cold-pressed terminal at the previous acquisition moment, are acquired. All acquisition moments within a preset time period before each acquisition moment are recorded as adjacent moments of each acquisition moment.

[0030] A weight acquisition module is used to fit the temperature data of each acquisition moment and all adjacent moments at each location point, and determine the temperature fluctuation intensity of each location point at each acquisition moment based on the difference between the temperature data of each acquisition moment and all adjacent moments and the corresponding fitting result;

[0031] Based on the change trend of the temperature fluctuation intensity of each position point at each acquisition moment and all adjacent moments, determine the temperature change trend of the injection molding machine barrel at each acquisition moment, and determine the noise exclusion weight of each position point at each acquisition moment in combination with the temperature fluctuation intensity;

[0032] In any section, based on the difference of temperature data between two positions at each acquisition time, and the difference of all temperature data between two positions at each acquisition time and all adjacent moments, the melt temperature difference of any section at each acquisition time is determined, and combined with the change trend of the temperature fluctuation intensity of each position at each acquisition time and all adjacent moments, and the noise exclusion weight, the temperature control response capability of the heating element in any section at each acquisition time is determined;

[0033] The control module is used to determine the expansion factor of any section at each acquisition time based on the significant situation of the grayscale values ​​of all pixels in the grayscale image of the plastic cold-pressed terminal and the temperature control response capability, and to control the temperature of the injection molding machine barrel.

[0034] In the third aspect, an embodiment of the present application also provides a cold-pressed terminal processing control-related device, including a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the steps of any one of the above-mentioned cold-pressed terminal processing control methods are implemented.

[0035] It can be seen from the above embodiments that the cold-pressed terminal processing control method provided in the embodiments of the present application has at least the following beneficial effects:

[0036] The present application fits the temperature data of each acquisition moment and all adjacent moments at each position point, determines the temperature fluctuation intensity of each position point at each acquisition moment based on the difference between the temperature data of each acquisition moment and all adjacent moments and the corresponding fitting result, and determines the noise exclusion weight of each position point at each acquisition moment in combination with the change trend of the temperature fluctuation intensity of each position point at each acquisition moment and all adjacent moments. The beneficial effect is that the influence of the frictional heat generated by the granular PP plastic and the injection molding machine barrel wall on the temperature analysis of the injection molding machine barrel can be eliminated, thereby improving the accuracy of the temperature analysis.

[0037] The present application determines the difference in melt temperature of any section at each acquisition time based on the difference in temperature data of two positions in any section at each acquisition time, and the difference in all temperature data between two positions at each acquisition time and all adjacent moments, and determines the temperature control response capability of the heating element in any section at each acquisition time in combination with the change trend of the temperature fluctuation intensity of each position at each acquisition time and all adjacent moments, and the noise exclusion weight. The beneficial effect is that the control strength of the melting and flow process of the plastic can be improved, the difference in melt temperature can be eliminated, the temperature difference of the plastic melt can be prevented from being large when the plastic melt is injected, and the quality of the plastic cold-pressed terminal can be improved;

[0038] The present application is based on the significant situation of the grayscale values ​​of all pixels in the grayscale image of the plastic cold-pressed terminal and the temperature control response capability, determines the expansion and contraction factor of any section at each acquisition moment, and regulates the temperature of the injection molding machine barrel. The beneficial effect is that it can quickly respond to the dynamic changes of the barrel temperature, provide a rapid response capability when the barrel temperature change characteristics are strong, and eliminate the interference of frictional heat when the barrel temperature is stable, thereby improving the accuracy of temperature control during the processing of plastic cold-pressed terminals. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0040] Figure 1 A flowchart of a cold-pressed terminal processing control method provided in one embodiment of the present application;

[0041] Figure 2 A schematic diagram of a noise exclusion weight extraction process provided by an embodiment of the present application;

[0042] Figure 3 A schematic diagram of a process for obtaining a scaling factor provided in one embodiment of the present application;

[0043] Figure 4 A block diagram of a cold-pressed terminal processing control system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0044] In order to further explain the technical means and effects adopted by this application to achieve the predetermined invention purpose, the following is a detailed description of a cold-pressed terminal processing control method, system and related equipment proposed in this application, its specific implementation method, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0045] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0046] The following is a detailed description of a cold-pressed terminal processing control method, system and related equipment provided by the present application in conjunction with the accompanying drawings.

[0047] See also Figure 1 , which shows a flow chart of a cold-pressed terminal processing control method provided by an embodiment of the present application, the method comprising the following steps:

[0048] Step S1: During the processing of the plastic cold-pressed terminal, at each position point in any section on the barrel of the injection molding machine, obtain the temperature data of each collection moment and all collection moments within a preset time period before it, as well as the grayscale image of the plastic cold-pressed terminal at the collection moment before each collection moment.

[0049] The barrel of the injection molding machine used in the processing of plastic cold-pressed terminals can be divided into three sections, namely the conveying section, the compression section and the homogenization section. The corresponding relationship between each section of the barrel of the injection molding machine and the position points of the temperature sensor is as follows: the two positions of the barrel close to the hopper are in the conveying section, the two positions close to the nozzle are in the homogenization section, and the two positions in the middle of the barrel are the compression section. A temperature sensor is installed at each position point of the barrel of the injection molding machine, and the temperatures of the two conveying sections, the compression section and the homogenization section are set to A, B, and C respectively.

[0050] It should be noted that the values ​​of temperatures A, B, and C are all set manually. In this embodiment, temperatures A, B, and C are set to 180°C, 195°C, and 210°C, respectively. The implementer can also set them according to the specific situation. This embodiment does not impose any special restrictions.

[0051] At each position point on the barrel of the injection molding machine, the temperature data of each collection moment and all the collection moments before it within the preset time length are obtained, and the data sampling interval is set to T; and the grayscale image of the plastic cold-pressed terminal at the previous collection moment of each collection moment is obtained. Among them, the values ​​of the preset time length and the data sampling interval T are both manually set. In this embodiment, the value of the preset time length is 5 minutes, and the value of the data sampling interval T is 1 second. The implementer can also set it by himself according to the specific situation. This embodiment does not impose any special restrictions; and the process of obtaining the grayscale image is a well-known technology, and the specific process will not be repeated.

[0052] Step S2: At each location point, fit the temperature data of each acquisition moment and all adjacent moments, and determine the temperature fluctuation intensity of each location point at each acquisition moment based on the difference between the temperature data of each acquisition moment and all adjacent moments and the corresponding fitting result.

[0053] During the injection molding process of plastic cold-pressed terminals, the mixing of PP plastic with the barrel wall and screw generates frictional heat, which is easily affected by factors such as frictional heat and raw material quality, resulting in significant dynamic changes in the actual barrel temperature. Temperature sensors can detect temperature data at various locations and reflect the temperature changes at various locations in the barrel. However, the sampling frequency of temperature sensors is high and the sampling environment is complex. These abnormal temperature changes may also be caused by noise, which can easily reduce the accuracy of subsequent temperature analysis.

[0054] Therefore, in order to improve the accuracy of temperature analysis and the accuracy of temperature control during the processing of plastic cold-pressed terminals, the temperature fluctuation intensity of each position point at each acquisition time is determined by analyzing the difference between the temperature data at each acquisition time and all adjacent times and the corresponding fitting results, specifically:

[0055] At each position point on the barrel of the injection molding machine, all the collection moments within the preset time period before each collection moment are taken as the adjacent moments of each collection moment. At each position point on the barrel of the injection molding machine, the temperature data of all the adjacent moments of each collection moment are fitted to obtain the temperature fitting curve of each position point at each collection moment. The mean of the difference between the temperature data of all the adjacent moments of each collection moment and the corresponding fitting value on the temperature fitting curve is calculated and recorded as the temperature fluctuation intensity of each position point at each collection moment.

[0056] It should be noted that there are many commonly used fitting methods. In this embodiment, nonlinear least squares method is used to fit the temperature data. The implementer can also use other fitting methods such as polynomial function fitting. This embodiment does not impose any special restrictions on the selection of fitting methods.

[0057] Among them, the nonlinear least square method is a well-known technology, and the specific fitting principle will not be described in detail.

[0058] Furthermore, according to the temperature fluctuation intensity of each position point at each acquisition moment, it can be understood that the higher the sampling frequency of the temperature sensor, the greater the difference between the temperature data at adjacent moments and the fitting value, the greater the temperature fluctuation intensity, which means that the temperature data at adjacent moments of the current sampling moment is more likely to be interfered by noise, thereby destroying the overall characteristics of the adjacent temperature data; conversely, the lower the sampling frequency of the temperature sensor, the lower the difference between the adjacent temperature data and the fitting value, and the lower the temperature fluctuation intensity.

[0059] Step S3: Based on the change trend of the temperature fluctuation intensity of each position point at each acquisition moment and all adjacent moments, determine the temperature change trend of the injection molding machine barrel at each acquisition moment, and determine the noise exclusion weight of each position point at each acquisition moment in combination with the temperature fluctuation intensity.

[0060] In the injection molding process of plastic cold-pressed terminals, loose granular PP plastic is fed into the hopper of the injection molding machine, heated and melted in the barrel to gradually form a viscous melt, and driven by the screw, it is injected into the closed mold with a lower temperature through the nozzle. After a period of pressure holding, cooling and shaping, the mold is opened and the plastic cold-pressed terminal is demolded. The above steps are repeated to continuously manufacture plastic cold-pressed terminals.

[0061] When solid PP plastic particles are just fed into the barrel of the injection molding machine, the PP plastic particles will generate heat through friction with the barrel wall and the screw, and the barrel temperature will change drastically. After being continuously heated by the heating element, the PP plastic particles will become a viscous melt, and the barrel temperature will change slowly. The barrel temperature change has significant periodicity. The barrel temperature is affected by the transportation and heating of the PP plastic particles, which can easily cause the actual barrel temperature to change significantly.

[0062] Therefore, in order to eliminate the influence of frictional heat between PP granules and barrel wall and screw on barrel temperature, the temperature change trend of the injection molding machine barrel at each acquisition moment and all adjacent moments is analyzed to determine the temperature change trend of the injection molding machine barrel at each acquisition moment. Combined with the temperature fluctuation intensity, the noise exclusion weight of each position at each acquisition moment is determined. Specifically:

[0063] (1) At each location point, the temperature fluctuation intensity of all adjacent moments of each acquisition time is used as the input of the trend detection algorithm, and the slope value of each location point at each acquisition time is output.

[0064] It should be noted that there are many commonly used trend test algorithms. In this embodiment, the Theil-Sen Median slope estimation algorithm is used to obtain the noise exclusion weight of each position point at each acquisition time. The implementer can also use the Mann-Kendall trend test algorithm to measure the changing trend of the temperature fluctuation intensity of each position point. This embodiment does not impose any special restrictions on the selection of the trend test algorithm.

[0065] Among them, the Theil-Sen Median slope estimation algorithm is a well-known technology, and the specific process of estimating the slope of a set of data is not repeated here.

[0066] (2) Furthermore, the normalized result of the average of the absolute values ​​of the slope values ​​of all position points in the barrel of the injection molding machine at each sampling time is taken as the temperature change trend of the barrel of the injection molding machine at each sampling time.

[0067] According to the temperature change trend of the injection molding machine barrel at each sampling moment, it can be understood that when the temperature variation trend of the PP plastic in the position point is less obvious, the temperature change trend is smaller, and the barrel temperature tends to be more stable. The adjacent moments of the current sampling moment are more likely to be in the period when the solid granular PP plastic is just fed into the injection molding machine barrel. The actual barrel temperature changes strongly, resulting in a large temperature fluctuation intensity, but in fact, the possibility of being interfered by noise is low; conversely, when the temperature variation trend of the PP plastic in the position point is more obvious, the temperature change trend is greater.

[0068] (3) Further, based on the temperature change trend of the injection molding machine barrel at each acquisition time and the temperature fluctuation intensity, the noise exclusion weight of each position point at each acquisition time is determined, specifically:

[0069] Noise exclusion weight of location j at acquisition time i The expression is: ; In the formula, Indicates the temperature change trend of the injection molding machine barrel at the acquisition time i; Indicates the temperature fluctuation intensity at point j at acquisition time i.

[0070] Furthermore, according to the noise exclusion weight of each position point at each acquisition time, it can be understood that when the temperature fluctuation intensity is smaller, it means that the abnormal temperature change at the adjacent time of the current sampling time is not prominent, and the more likely there is no noise interference. At the same time, when the temperature change trend is smaller, it means that the barrel temperature tends to be more stable. Its beneficial effect is to avoid the problem that the actual barrel temperature changes strongly but is mistaken for noise interference during the repeated processing of the injection molding machine due to the greater influence of the transportation and heating of the granular PP plastic. The temperature variation coefficient is corrected, and the greater the noise exclusion weight;

[0071] On the contrary, when the temperature fluctuation intensity is greater, it means that the abnormal temperature change at the time adjacent to the current sampling time is more prominent, and the possibility of being interfered by noise is greater. At the same time, when the temperature change trend is greater, it means that the barrel temperature is more unstable and the noise exclusion weight is greater.

[0072] Preferably, the noise exclusion weight extraction process schematic diagram provided in this embodiment is as follows: Figure 2 shown.

[0073] Step S4: In any section, based on the difference in temperature data between two positions at each acquisition moment and the difference in all temperature data between two positions at each acquisition moment and all adjacent moments, the melt temperature difference of any section at each acquisition moment is determined, and combined with the change trend of the temperature fluctuation intensity of each position point at each acquisition moment and all adjacent moments, and the noise exclusion weight, the temperature control response capability of the heating element in any section at each acquisition moment is determined.

[0074] Each section of the injection molding machine barrel has its own section temperature preset value and heating element. The same barrel section contains temperature sensors at two locations. The higher the correlation of the barrel temperature data at the two locations in the section, the better the temperature transfer effect in the barrel section, and the more stable the melt temperature tends to be; the lower the correlation of the barrel temperature data at the two locations in the section, the more significant differences in the plastic melt temperature at different locations in the same section.

[0075] Therefore, in order to more effectively control the melting and flow process of the plastic and prevent a large temperature difference of the plastic melt during injection, a greater control force should be adopted to eliminate the difference in melt temperature. Specifically:

[0076] (1) In any section of the injection molding machine barrel, analyze the difference in temperature data between two points at each acquisition time, and record it as the first difference of any section at each acquisition time;

[0077] (2) Further, the differences in temperature data at all adjacent moments between two position points in any section at each acquisition time are analyzed and recorded as the second difference of any section at each acquisition time;

[0078] It should be noted that there are many methods for measuring the differences between data groups. In this embodiment, the temperature difference between two location points at each collection time is measured by calculating the DTW distance of the temperature data of all adjacent time periods between the two location points at each collection time. The implementer can use other methods for measuring the differences between data groups, such as Euclidean distance and Manhattan distance. Regarding the selection of the method for measuring the differences between data groups, this embodiment does not impose any special restrictions.

[0079] The calculation process of the DTW distance is a well-known technology, and the specific calculation steps are not repeated here.

[0080] (3) Furthermore, it can be obtained from the first difference and the second difference that the melt temperature difference of any section of the barrel of the injection molding machine at each sampling time is the product of the first difference and the second difference of any section at each sampling time.

[0081] According to the difference in melt temperature of any section of the injection molding machine barrel at each acquisition moment, it can be understood that when the difference in temperature data of two position points is greater, that is, the first difference is greater, it means that the temperature difference of the plastic melt at different positions in the barrel section at the current acquisition moment is large, and at the same time, when the difference in temperature data of all adjacent moments between the two position points is greater, that is, the second difference is greater, it means that the correlation of barrel temperature data in the barrel section is worse, the degree of difference in plastic melt temperature inside the barrel section is higher, and the melt temperature difference of the section is greater; conversely, when the difference in temperature data of two position points is smaller, that is, the first difference is smaller, it means that the temperature difference of the plastic melt at different positions in the barrel section at the current acquisition moment is small, and at the same time, when the difference in temperature data of all adjacent moments between the two position points is smaller, that is, the second difference is smaller, it means that the correlation of barrel temperature data in the barrel section is better, the degree of difference in plastic melt temperature inside the barrel section is lower, and the melt temperature difference of the section is smaller.

[0082] (4) Further, based on the melt temperature difference of any section at each acquisition time, combined with the change trend of the temperature fluctuation intensity of each position point at each acquisition time and all adjacent times, and the noise exclusion weight, the temperature control response capability of the heating element in any section at each acquisition time is determined, specifically:

[0083] The temperature control response capability of section u at time i is collected The expression is: ; In the formula, It represents the mean of the slope values ​​of two points in section u at the acquisition time i; It represents the difference in melt temperature of section u at the acquisition time i; It represents the mean value of the noise exclusion weights of two points in section u at the acquisition time i.

[0084] According to the temperature control response capability of section u at each sampling moment, it can be understood that the greater the difference in melt temperature of the section, the higher the difference in plastic melt temperature within the same barrel section, and the less the barrel temperature data at the location point is affected by environmental noise, the more the heating element should increase the adjustment force to eliminate the melt temperature difference, and the greater the temperature control response capability; when the barrel temperature changes more drastically at the current sampling moment of the location point, the greater the average of the slope values ​​of the two location points in the section, indicating that the current sampling moment is more likely to be in the period when the solid granular PP plastic is just fed into the barrel of the injection molding machine, The heating element is required to respond quickly to dynamic barrel temperature changes to promote the melting of PP plastic into a melt, and the temperature control response ability of the section is greater; conversely, when the melt temperature difference of the section is smaller, it means that the temperature difference of the plastic melt inside the same barrel section is lower, and the barrel temperature data at the location point is more affected by environmental noise, the heating element can appropriately reduce the adjustment force and eliminate the melt temperature difference, and the temperature control response ability is smaller; when the barrel temperature changes more slowly at the current sampling moment of the location point, the smaller the average of the slope values ​​of the two location points in the section, the smaller the temperature control response ability of the section.

[0085] Step S5: Based on the significance of the grayscale values ​​of all pixels in the grayscale image of the plastic cold-pressed terminal and the temperature control response capability, the expansion factor at each acquisition moment is determined to regulate the temperature of the injection molding machine barrel.

[0086] S501: Determine the expansion factor at each acquisition time based on the significance of the grayscale values ​​of all pixels in the grayscale image of the plastic cold-pressed terminal and the temperature control response capability.

[0087] In the manufacturing process of plastic cold-pressed terminals, the appearance of plastic cold-pressed terminals is one of the direct criteria for evaluating quality. Only qualified injection molding control can produce plastic cold-pressed terminals with high color consistency. Increasing the barrel temperature can increase the melt temperature. Increasing the melt temperature is beneficial to increase melt fluidity, but too high a temperature will lead to defects such as thermal degradation of PP plastic and yellowing and deterioration of PP plastic melt.

[0088] The grayscale image of the plastic cold-pressed terminal is used as the input of the saliency detection algorithm, and the saliency map is output. The accumulated results of the saliency values ​​of all pixels in the saliency map are used as the terminal color factor at each acquisition moment.

[0089] It should be noted that there are many commonly used saliency detection algorithms. In this embodiment, the ITTI visual saliency model is used to obtain the saliency map of the grayscale image of the plastic cold-pressed terminal. The implementer may also use other saliency detection algorithms such as the spectral residual algorithm. Regarding the selection of the saliency detection algorithm, this embodiment does not impose any special restrictions.

[0090] Among them, the ITTI visual saliency model is a well-known technology in the field of image processing, and its specific principle will not be repeated here.

[0091] The higher the grayscale contrast of the pixels on the surface of the plastic cold-pressed terminal after injection molding, the worse the color consistency of the plastic cold-pressed terminal, and the more likely it is that the barrel temperature is too high, causing thermal degradation of the PP plastic and yellowing of the melt. The barrel temperature during the injection molding process should be adjusted quickly.

[0092] Furthermore, the fuzzy PID control algorithm is used to control the temperature of the barrel of the injection molding machine. However, the fuzzy PID control algorithm uses a fixed range of fuzzy domains and cannot dynamically respond to the changing characteristics of the barrel temperature. The fuzzy subset is used as the value range of the input and output variables in the fuzzy PID control. There are fixed upper and lower limits, which determine the accuracy and temperature response ability of the fuzzy PID control. When the deviation value between the barrel temperature of the injection molding machine and the preset temperature value is large, the fuzzy PID control algorithm with a fixed range of fuzzy domains has poor temperature modulation ability and it is difficult to quickly control the barrel temperature to the preset temperature value.

[0093] Therefore, based on the above analysis, the expansion factor at each acquisition moment is determined according to the terminal color factor and the temperature control response capability, specifically:

[0094] The expansion factor of section u at the acquisition time i The expression is: ; In the formula, Indicates the preset stretch constant; represents the terminal color factor at the acquisition time i; norm( ) represents the normalization function.

[0095] It should be noted that the value of the preset stretching constant is artificially set. In this embodiment, the value of the preset stretching constant is 3. The implementer can also set it by himself according to the specific situation. This embodiment does not impose any special limitation.

[0096] According to the expansion factor of any section at each sampling moment, it can be understood that when the terminal color factor is larger, the color consistency of the plastic cold-pressed terminal is worse, and it is more likely that the barrel temperature is too high, resulting in thermal degradation of the PP plastic. The barrel temperature in the injection molding process should be adjusted quickly, and the larger the fuzzy domain range, the larger the expansion factor of the section; when the temperature control response ability is greater, it means that the difference between the barrel temperature and the preset temperature at the current sampling moment is greater, and the barrel temperature changes more drastically. A larger fuzzy domain range should be used to quickly respond to and adjust the barrel temperature, and the expansion factor of the section is larger; conversely, when the terminal color factor is smaller, the color consistency of the plastic cold-pressed terminal is better, the fuzzy domain range is smaller, and the expansion factor of the section is smaller; when the temperature control response ability is smaller, it means that the difference between the barrel temperature and the preset temperature at the current sampling moment is greater, and the barrel temperature changes more mildly. A smaller fuzzy domain range can be used to quickly respond to and adjust the barrel temperature, and the expansion factor of the section is smaller.

[0097] Preferably, the schematic diagram of the process of obtaining the scaling factor provided in this embodiment is as follows: Figure 3 shown.

[0098] S502: Based on the expansion and contraction factors at each acquisition moment, the temperature of the barrel of the injection molding machine is regulated.

[0099] Calculate the difference between the temperature data of each position point in any section at each acquisition time and the preset temperature, and take the average of the difference between two position points in any section as the temperature error of any section at each acquisition time;

[0100] Further, the difference of the temperature error of any section between each acquisition moment and the previous acquisition moment is calculated as the temperature error change rate of any section at each acquisition moment;

[0101] The temperature error and temperature error change rate of any section at each acquisition time are used as the input of the fuzzy PID controller, wherein the expansion factor of any section at each acquisition time is multiplied by each element in the preset initial fuzzy domain of the temperature error and each element in the preset initial fuzzy domain of the temperature error change rate, and the multiplication results are used as the temperature error fuzzy domain and the temperature error change rate fuzzy domain of any section at each acquisition time, respectively. The membership function of the fuzzy PID controller adopts a triangular membership function, and outputs the gain coefficient ( , , ), the gain coefficient is transmitted to the corresponding section of the injection molding machine barrel, and the temperature data of the heating element in the corresponding section of the injection molding machine barrel at each collection moment is regulated.

[0102] It should be noted that the value range of the preset initial fuzzy domain is artificially set. In this embodiment, the preset initial fuzzy domain of the temperature error and the preset initial fuzzy domain of the temperature error change rate are both [-3, 3], defined as {-3, -2.5, -2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2, 2.5, 3}. The implementer can also set it by himself according to the specific situation. This embodiment does not impose any special restrictions.

[0103] Among them, the fuzzy PID control principle is a well-known technology, and the specific process will not be repeated here.

[0104] Based on the same inventive concept as the above method, the embodiment of the present application also provides a cold pressed terminal processing control system, including:

[0105] The temperature data acquisition module is used in the process of processing plastic cold-pressed terminals. At each position point in any section on the barrel of the injection molding machine, the temperature data of each acquisition moment and all acquisition moments within a preset time period before the acquisition moment, as well as the grayscale image of the plastic cold-pressed terminal at the previous acquisition moment, are acquired. All acquisition moments within a preset time period before each acquisition moment are recorded as adjacent moments of each acquisition moment.

[0106] A weight acquisition module is used to fit the temperature data of each acquisition moment and all adjacent moments at each location point, and determine the temperature fluctuation intensity of each location point at each acquisition moment based on the difference between the temperature data of each acquisition moment and all adjacent moments and the corresponding fitting result;

[0107] Based on the change trend of the temperature fluctuation intensity of each position point at each acquisition moment and all adjacent moments, determine the temperature change trend of the injection molding machine barrel at each acquisition moment, and determine the noise exclusion weight of each position point at each acquisition moment in combination with the temperature fluctuation intensity;

[0108] In any section, based on the difference of temperature data between two positions at each acquisition time, and the difference of all temperature data between two positions at each acquisition time and all adjacent moments, the melt temperature difference of any section at each acquisition time is determined, and combined with the change trend of the temperature fluctuation intensity of each position at each acquisition time and all adjacent moments, and the noise exclusion weight, the temperature control response capability of the heating element in any section at each acquisition time is determined;

[0109] The control module is used to determine the expansion factor of any section at each acquisition time based on the significant situation of the grayscale values ​​of all pixels in the grayscale image of the plastic cold-pressed terminal and the temperature control response capability, and to control the temperature of the injection molding machine barrel.

[0110] A block diagram of a cold-pressed terminal processing control system provided in an embodiment of the present application is as follows: Figure 4 shown.

[0111] Based on the same inventive concept as the above method, an embodiment of the present application also provides a cold-pressed terminal processing control related device, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned cold-pressed terminal processing control methods are implemented.

[0112] It should be noted that the above sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. The above is a description of a specific embodiment of this specification. 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.

[0113] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0114] 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 principles of the present application should be included in the protection scope of the present application.

Claims

1. A cold pressed terminal processing control method, characterized in that: The method comprises the following steps: During the processing of plastic cold-pressed terminals, at each position point in any section of the injection molding machine barrel, the temperature data of each acquisition moment and all acquisition moments within a preset time period before it, as well as the grayscale image of the plastic cold-pressed terminal at the previous acquisition moment of each acquisition moment are obtained, and all acquisition moments within a preset time period before each acquisition moment are recorded as adjacent moments of each acquisition moment; At each location point, the temperature data at each acquisition moment and all adjacent moments are fitted, and based on the difference between the temperature data at each acquisition moment and all adjacent moments and the corresponding fitting result, the temperature fluctuation intensity of each location point at each acquisition moment is determined; Based on the change trend of the temperature fluctuation intensity of each position point at each acquisition moment and all adjacent moments, determine the temperature change trend of the injection molding machine barrel at each acquisition moment, and determine the noise exclusion weight of each position point at each acquisition moment in combination with the temperature fluctuation intensity; The expression of the noise exclusion weight of each location point at each acquisition time is: ; In the formula, represents the noise exclusion weight of location j at acquisition time i; Indicates the temperature change trend of the injection molding machine barrel at the acquisition time i; Indicates the intensity of temperature fluctuation at point j at acquisition time i; In any section, based on the difference of temperature data between two positions at each acquisition time, and the difference of all temperature data between two positions at each acquisition time and all adjacent moments, the melt temperature difference of any section at each acquisition time is determined, and combined with the change trend of the temperature fluctuation intensity of each position at each acquisition time and all adjacent moments, and the noise exclusion weight, the temperature control response capability of the heating element in any section at each acquisition time is determined; The expression of the temperature control response capability of the heating element in any section at each acquisition time is: ; In the formula, Indicates the temperature control response capability of the heating element in section u at the acquisition time i; It represents the mean of the slope values ​​of two points in section u at the acquisition time i; It represents the difference in melt temperature of section u at the acquisition time i; represents the mean value of the noise exclusion weights of two locations in section u at the acquisition time i; Based on the significant situation of the grayscale values ​​of all pixels in the grayscale image of the plastic cold-pressed terminal and the temperature control response capability, the expansion factor of any section at each acquisition time is determined; the temperature error and the temperature error change rate of the section are obtained according to the temperature difference between each section position point and the preset temperature, and the expansion factor is used as the weight of the temperature error and the temperature error change rate to control the temperature of the injection molding machine barrel through a fuzzy PID controller; The method for determining the expansion and contraction factor of any section at each acquisition time is as follows: The grayscale image of the plastic cold-pressed terminal at the previous acquisition moment of each acquisition moment is used as the input of the saliency detection algorithm, and the saliency map is output, and the cumulative result of the saliency values ​​of all pixels in the saliency map is used as the terminal color factor at each acquisition moment; The expansion factor of section u at the acquisition time i The expression is: ; In the formula, Indicates the preset stretch constant; represents the terminal color factor at the acquisition time i; norm( ) represents the normalization function.

2. A cold-pressed terminal processing control method as claimed in claim 1, characterized in that: The method for determining the temperature fluctuation intensity of each location point at each acquisition time is: At each position point on the barrel of the injection molding machine, the temperature data of all adjacent moments of each acquisition moment are fitted to obtain the temperature fitting curve of each position point at each acquisition moment, and the average of the differences between the temperature data of all adjacent moments of each acquisition moment and the corresponding fitting values ​​on the temperature fitting curve is taken as the temperature fluctuation intensity of each position point at each acquisition moment.

3. A cold-pressed terminal processing control method as claimed in claim 1, characterized in that: The method for determining the temperature change trend of the injection molding machine barrel at each acquisition time is: At each location point, the temperature fluctuation intensity of all adjacent moments of each acquisition moment is used as the input of the trend detection algorithm, and the slope value of each location point at each acquisition moment is output; The temperature change trend of the injection molding machine barrel at each sampling time is the normalized result of the average of the absolute values ​​of the slope values ​​of all position points in the injection molding machine barrel at each sampling time.

4. A cold pressed terminal processing control method as claimed in claim 1, characterized in that: The method for determining the melt temperature difference of any section at each collection time is: In any section of the injection molding machine barrel, the difference in temperature data between two positions at each acquisition time is recorded as the first difference of any section at each acquisition time; The difference of all temperature data between two positions in any section at each acquisition time and its adjacent time is recorded as the second difference of any section at each acquisition time; The melt temperature difference of any section of the barrel of the injection molding machine at each sampling time is the product of the first difference and the second difference of any section at each sampling time.

5. A cold pressed terminal processing control method as claimed in claim 1, characterized in that: The temperature of the injection molding machine barrel is regulated, including: Calculate the difference between the temperature data of each position point in any section at each acquisition time and the preset temperature, and take the average of the difference between two position points in any section as the temperature error of any section at each acquisition time; Calculate the difference in temperature error of any section between each acquisition moment and the previous acquisition moment as the temperature error change rate of any section at each acquisition moment; The temperature error and temperature error change rate of any section at each collection moment are used as the input of the fuzzy PID controller, wherein the expansion factor of any section at each collection moment is multiplied with each element in the preset initial fuzzy domain of the temperature error and each element in the preset initial fuzzy domain of the temperature error change rate, and the multiplication results are used as the temperature error fuzzy domain and the temperature error change rate fuzzy domain of any section at each collection moment, respectively. The membership function of the fuzzy PID controller adopts a triangular membership function, outputs the gain coefficient of any section at each collection moment, transmits the gain coefficient to the corresponding section of the injection molding machine barrel, and regulates the temperature data of the heating element in the corresponding section on the injection molding machine barrel at each collection moment.

6. A cold-pressed terminal processing control system, implementing a cold-pressed terminal processing control method as described in claims 1-5, characterized in that: The system comprises: The temperature data acquisition module is used in the process of processing plastic cold-pressed terminals. At each position point in any section on the barrel of the injection molding machine, the temperature data of each acquisition moment and all acquisition moments within a preset time period before the acquisition moment, as well as the grayscale image of the plastic cold-pressed terminal at the previous acquisition moment, are acquired. All acquisition moments within a preset time period before each acquisition moment are recorded as adjacent moments of each acquisition moment. A weight acquisition module is used to fit the temperature data of each acquisition moment and all adjacent moments at each location point, and determine the temperature fluctuation intensity of each location point at each acquisition moment based on the difference between the temperature data of each acquisition moment and all adjacent moments and the corresponding fitting result; Based on the change trend of the temperature fluctuation intensity of each position point at each acquisition moment and all adjacent moments, determine the temperature change trend of the injection molding machine barrel at each acquisition moment, and determine the noise exclusion weight of each position point at each acquisition moment in combination with the temperature fluctuation intensity; In any section, based on the difference of temperature data between two positions at each acquisition time, and the difference of all temperature data between two positions at each acquisition time and all adjacent moments, the melt temperature difference of any section at each acquisition time is determined, and combined with the change trend of the temperature fluctuation intensity of each position at each acquisition time and all adjacent moments, and the noise exclusion weight, the temperature control response capability of the heating element in any section at each acquisition time is determined; The control module is used to determine the expansion factor of any section at each acquisition time based on the significant situation of the grayscale values ​​of all pixels in the grayscale image of the plastic cold-pressed terminal and the temperature control response capability, and to control the temperature of the injection molding machine barrel.

7. A cold-pressed terminal processing control-related device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of a cold-pressed terminal processing control method as described in any one of claims 1 to 5 are implemented.

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