A fully automatic casting temperature control system and method for automobile metal parts

Abstract

The present invention relates to the technical field of temperature control, and in particular to a temperature control system and method for fully automatic casting of automotive metal parts. The temperature adjustment coefficient is comprehensively determined by the temperature monitoring data change of each mold area in each sampling time period, the temperature deviation between adjacent mold areas and the distance between the heater and the mold area, so that more accurate heater PID parameter adjustment is performed according to the temperature adjustment coefficient, which solves the problem that the heating device is adjusted only according to the temperature difference with the target temperature, and the effect obtained often deviates from the ideal effect. In the repeated adjustment process, the volatility of the mold temperature change is increased, which affects the stability of the casting process, so that the effect of fully automatic casting temperature control of automotive metal parts is better.

Description

Technical Field

[0001] The invention relates to the technical field of temperature control, and in particular to a temperature control system and method for fully automatic casting of automobile metal parts. Background Art

[0002] In the casting process of automotive metal parts, the temperature control system is very important. The mold needs to be preheated first during the casting process. If the temperature is too high, too low, or increases too fast during the mold preheating process, it will affect the quality and structural integrity of the mold, and thus affect the quality of the casting. Therefore, in the casting process of automotive metal parts, it is extremely important to improve the accuracy of the temperature control during the mold preheating process.

[0003] The current casting temperature control system usually only adjusts the heating equipment according to the difference between the current mold temperature and the target temperature, ignoring the fact that when there is a local temperature difference in the mold, there will be a certain heat transfer effect between adjacent mold areas. The heating equipment is adjusted only according to the temperature difference with the target temperature. The effect obtained is often different from the ideal effect. In the repeated adjustment process, the volatility of the mold temperature change is increased, which affects the stability of the casting process and makes the effect of fully automatic casting temperature control of automotive metal parts poor. Summary of the invention

[0004] The present application provides a temperature control system and method for fully automatic casting of automotive metal parts. The temperature adjustment coefficient is determined comprehensively through the temperature monitoring data changes of each mold area in each sampling time period, the temperature deviation between adjacent mold areas, and the distance between the heater and the mold area, so that the heater PID parameter adjustment is more accurate according to the temperature adjustment coefficient, which solves the problem that the effect obtained by adjusting the heating equipment only according to the temperature difference with the target temperature often deviates from the ideal effect. In the repeated adjustment process, the volatility of the mold temperature change is increased, which affects the stability of the casting process, so that the effect of fully automatic casting temperature control of automotive metal parts is better.

[0005] The first aspect of the present application provides a fully automatic casting temperature control method for automotive metal parts, comprising:

[0006] During the preheating process of the mold by the preheating furnace, all temperature monitoring data of each mold area in each sampling time period are obtained;

[0007] Determine the temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the standard deviation distribution and time series change of the temperature data of each mold area in each sampling time period;

[0008] Determine the influence degree of each mold area on the adjacent area in each sampling time period according to the overall temperature relative deviation distribution between each mold area and the adjacent mold area in each sampling time period; determine the reference adjustment coefficient of each mold area in each sampling time period according to the temperature rise rate adjustment coefficient and the influence degree of the adjacent area;

[0009] In each sampling time period, the temperature adjustment coefficient of each heater in each sampling time period is determined according to the distance between each heater and each mold area and the reference adjustment coefficient; and the heater PID parameter is adjusted according to the temperature adjustment coefficient.

[0010] Furthermore, the method for obtaining the temperature rise rate adjustment coefficient includes:

[0011] In each sampling time period of each mold area, the difference between the preset standard temperature and the temperature monitoring data at each sampling moment is used as the standard temperature difference at each sampling moment;

[0012] The difference between the temperature monitoring data at each sampling moment and the temperature monitoring data at the previous sampling moment is taken as the instantaneous temperature change value at each sampling moment;

[0013] The temperature rise rate adjustment coefficient of each mold area in each sampling time period is determined according to the overall size of the standard temperature difference and the overall size of the instantaneous temperature change value in each sampling time period of each mold area.

[0014] Further, the method for determining the temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the overall size of the standard temperature difference and the overall size of the instantaneous temperature change value in each sampling time period of each mold area includes:

[0015] In each mold area, the average of the standard temperature differences of all sampling moments in each sampling time period is taken as the overall temperature difference of each sampling time period;

[0016] In each mold area, the average of the instantaneous temperature change values ​​at all sampling moments in each sampling time period is taken as the overall temperature change value of each sampling time period;

[0017] The product of the negative correlation mapping value of the overall temperature change value and the overall temperature difference is normalized to determine the temperature rise rate adjustment coefficient of each mold area in each sampling time period.

[0018] Furthermore, the method for obtaining the influence degree of the adjacent area includes:

[0019] Taking each mold area as a target area in turn, and taking all mold areas adjacent to the target area as corresponding reference areas;

[0020] At each sampling moment in each sampling time period, the difference between the temperature monitoring data of each reference area and the temperature monitoring data of the target area is taken as the adjacent relative temperature difference corresponding to each reference area; according to the overall size of the adjacent relative temperature difference of all reference areas at all sampling moments in each sampling time period, the degree of influence of the target area on the adjacent area in each sampling time period is determined.

[0021] Furthermore, the method for determining the influence of the target area on the adjacent areas in each sampling time period according to the overall size of the adjacent relative temperature difference of all reference areas at all sampling moments in each sampling time period includes:

[0022] In each sampling time period, the mean of the adjacent relative temperature differences of all reference areas corresponding to the target area at all sampling moments is normalized to determine the degree of influence of the target area on the adjacent areas in each sampling time period.

[0023] Furthermore, the process of obtaining the reference adjustment coefficient includes:

[0024] The sum of the negative correlation mapping value of the adjacent region influence degree and the temperature rise rate adjustment coefficient is used as the reference adjustment coefficient of each mold region in each sampling time period.

[0025] Furthermore, the process of obtaining the temperature adjustment coefficient includes:

[0026] Each heater around the mold is taken as a target heater in turn; the distance between the center point of the target heater and the center point of each mold area is negatively correlated and mapped to determine the distance influence degree corresponding to each mold area;

[0027] Determine the temperature influence coefficient of each mold area on the target heater according to the reference adjustment coefficient and the distance influence degree corresponding to each mold area; the reference adjustment coefficient and the distance influence degree are both positively correlated with the temperature influence coefficient;

[0028] The mean values ​​of the temperature influence coefficients of all mold areas on the target heater are normalized to determine the reference adjustment coefficient of the target heater.

[0029] Furthermore, the method for obtaining the temperature influence coefficient includes:

[0030] The product of the reference adjustment coefficient and the distance influence degree is used as the temperature influence coefficient of each mold area on the target heater.

[0031] Further, the method for adjusting the heater PID parameters according to the temperature adjustment coefficient includes:

[0032] After each sampling time period ends, the product of the positive correlation mapping value of the temperature adjustment coefficient and the proportional coefficient of each heater PID controller before adjustment is used as the correction proportional coefficient of each heater PID controller after each sampling time period ends; the heater PID parameters are adjusted in real time according to the correction proportional coefficient.

[0033] In a second aspect, the present application provides a fully automatic casting temperature control system for automotive metal parts, the system comprising:

[0034] A data acquisition module is used to obtain all temperature monitoring data of each mold area in each sampling time period during the process of preheating the mold through the preheating furnace;

[0035] A first determination module is used to determine the temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the standard deviation distribution and time series change of the temperature data of each mold area in each sampling time period;

[0036] The second determination module is used to determine the influence degree of each mold area on the adjacent area in each sampling time period according to the overall temperature relative deviation distribution between each mold area and the adjacent mold area in each sampling time period; and determine the reference adjustment coefficient of each mold area in each sampling time period according to the temperature rise rate adjustment coefficient and the influence degree of the adjacent area;

[0037] The heater PID parameter adjustment module is used to determine the temperature adjustment coefficient of each heater in each sampling time period according to the distance between each heater and each mold area and the reference adjustment coefficient in each sampling time period; and adjust the heater PID parameters according to the temperature adjustment coefficient.

[0038] In a third aspect, the present application provides a computer device, comprising a memory and a processor. The memory is used to store computer program code, and the processor is used to call and run the computer program code from the memory to execute the method of the first aspect or any embodiment of the first aspect of the present application.

[0039] In a fourth aspect, the present application provides a computer program product, comprising a computer program code, which, when executed, performs the method of the first aspect of the present application or any embodiment of the first aspect.

[0040] In a fifth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program code. When the computer program code is executed, the method of the first aspect or any embodiment of the first aspect of the present application is performed.

[0041] This application has the following beneficial effects:

[0042] The present application firstly determines the temperature rise rate adjustment coefficient based on the temperature difference and time series change of the temperature monitoring data of the mold area relative to the standard temperature data in the dimension of temperature rise demand; then determines the degree of influence of adjacent areas according to the characteristic that the temperatures of adjacent mold areas will affect each other and the distribution of the overall relative temperature deviation between each mold area and the adjacent mold area; further determines the reference adjustment coefficient required for the temperature of each mold area in combination with the degree of neighborhood influence and the temperature rise rate adjustment coefficient, and on this basis determines the temperature adjustment coefficient of each heater in each sampling time period for more accurately measuring the degree of temperature regulation in combination with the distance between each mold area and each heater, so that the adjustment of the heater PID parameters according to the temperature adjustment coefficient is more accurate, thereby improving the effect of temperature control on fully automatic casting of automotive metal parts. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 A flow chart of a temperature control method for fully automatic casting of automotive metal parts provided by one embodiment of the present invention;

[0045] Figure 2 A structural diagram of a fully automatic casting temperature control system for automotive metal parts provided by one embodiment of the present invention;

[0046] Figure 3 A schematic diagram of the structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a fully automatic casting temperature control system and method for automotive metal parts proposed in accordance with the present invention, its specific implementation method, structure, characteristics 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, and the specific features, structures or characteristics in one or more embodiments may be combined in any suitable form. In addition, the terms "first" and "second" are used only for descriptive purposes and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features.

[0048] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0049] The specific scheme of the fully automatic casting temperature control system and method for automobile metal parts provided by the present invention is described in detail below with reference to the accompanying drawings.

[0050] The present application embodiment provides a fully automatic casting temperature control method for automotive metal parts. Figure 1 , which shows a flow chart of a fully automatic casting temperature control method for automotive metal parts provided by an embodiment of the present invention, the method comprising:

[0051] Step S101: in the process of preheating the mold by the preheating furnace, all temperature monitoring data of each mold area in each sampling time period are obtained.

[0052] Before the metal liquid is injected into the mold, the mold needs to be preheated by a preheating furnace to avoid excessive temperature difference between the metal and the mold during injection, which may affect the quality of the casting. In order to ensure uniform heating of the mold as much as possible, multiple heaters are evenly arranged on a plane one meter above the mold, and the number and position of the heaters are adjusted according to the size of the mold; in a specific implementation of an embodiment of the present invention, after the mold is placed horizontally, an infrared camera is arranged directly above the center of the mold, and the infrared camera is used to shoot the mold directly, that is, vertically downward to obtain an infrared image of the mold surface at each sampling moment, and the height of the infrared camera is set so that the infrared image of the mold surface taken can just completely include the height corresponding to the mold; then the plane one meter above the mold is used as the heater installation plane, and the center point of the infrared image of the mold surface and the mapping position of the four vertices on the heater installation plane are used as the set position of each heater, and the heater is fixed at the set position so that the mold is heated as evenly as possible. It should be noted that the installation position of the heater can be adjusted according to the specific implementation environment.

[0053] In a specific implementation of the embodiment of the present invention, the infrared image of the mold surface at each sampling moment is rasterized, and the infrared image of the mold surface is rasterized into a grid of 20 columns and 20 rows. The area of ​​each grid on the mold corresponding to the infrared image of the mold surface is taken as a mold area; further, the temperature size measured at the center point of each mold area in the infrared image of the mold surface at each sampling moment is taken as the temperature monitoring data of each mold area at each sampling moment. By setting the number of rows and columns of the grid obtained after rasterization, the number of grids obtained under different implementation environments can be fixed, and the number of rows and columns of the grid obtained after rasterization can be adjusted according to the specific implementation environment. The larger the number of rows and columns of the grid obtained after rasterization, the smaller the grid size obtained, and the more accurate the corresponding analysis result, which will not be further elaborated here. In another specific implementation of the embodiment of the present invention, the infrared image of the mold surface at each sampling moment is rasterized, so that the length and width of each grid size obtained after rasterization are both 10 cm; this method can fix the grid size obtained under different implementation environments, but cannot fix the number of grids. It should be noted that the method of determining temperature through infrared images is a technical means well known to those skilled in the art and will not be further elaborated here.

[0054] In a specific implementation of an embodiment of the present invention, the time length of each sampling time period is set to 30 seconds, and the interval between two adjacent sampling moments in each sampling time period is set to 1 second, that is, each sampling time period corresponds to 30 sampling moments. The time length of the sampling time period and the time interval between two adjacent sampling moments can be adjusted according to the specific implementation environment, and the purpose of setting the sampling time period is to adjust the heater PID parameters based on the sampling time period, that is, after each sampling time period ends, the heater PID parameters are adjusted once; further, in each sampling time period, the temperature monitoring data of each mold area at all sampling moments are arranged in chronological order, and all temperature monitoring data of each mold area in each sampling time period can be obtained.

[0055] Step S102: determining a temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the standard deviation distribution and time series variation of the temperature data of each mold area in each sampling time period.

[0056] For the mold area, the corresponding temperature monitoring data will gradually increase over time during the heating process. The greater the deviation of the corresponding temperature from the required standard temperature, the greater the heating demand to reach the target temperature. In addition, too fast changes in mold temperature will affect the quality and stability of the mold, so it is necessary to further combine the time series changes of temperature monitoring data to correct the heating demand.

[0057] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the temperature rise rate adjustment coefficient includes:

[0058] In each sampling time period of each mold area, the difference between the preset standard temperature and the temperature monitoring data at each sampling moment is used as the standard temperature difference at each sampling moment. The larger the standard temperature difference, the greater the corresponding heating demand in order to achieve the target temperature, that is, the greater the required temperature rise rate. In a specific implementation of an embodiment of the present invention, the preset standard temperature is set to 80 degrees, which can be adjusted according to the specific implementation environment. It should be noted that the casting process adopted in this application is a lost foam casting process. Considering the easy-to-melt nature of the wax mold, the preset standard temperature is set to 80 degrees.

[0059] The difference between the temperature monitoring data at each sampling moment and the temperature monitoring data at the previous sampling moment is taken as the instantaneous temperature change value at each sampling moment. Since a rapid change in mold temperature will affect the quality and stability of the mold, if the instantaneous temperature change value is too large, it is necessary to consider suppressing the temperature rise to a certain extent; that is, the larger the instantaneous temperature change value, the smaller the required temperature rise rate.

[0060] Further, according to the relationship between the standard temperature difference and the temperature instantaneous change value and the temperature rise rate, according to the overall size of the standard temperature difference and the overall size of the temperature instantaneous change value in each sampling time period of each mold area, the temperature rise rate adjustment coefficient of each mold area in each sampling time period is determined. Preferably, in some possible implementations of the embodiments of the present invention, according to the overall size of the standard temperature difference and the overall size of the temperature instantaneous change value in each sampling time period of each mold area, the method for determining the temperature rise rate adjustment coefficient of each mold area in each sampling time period includes:

[0061] In each mold area, the mean of the standard temperature difference of all sampling moments in each sampling time period is used as the overall temperature difference of each sampling time period; in each mold area, the mean of the temperature instantaneous change value of all sampling moments in each sampling time period is used as the overall temperature change value of each sampling time period. Since the heater PID parameter adjustment is performed with each sampling time period as a cycle, it is necessary to determine the temperature rise rate according to the standard temperature difference and the temperature instantaneous change value of all sampling moments in each sampling time period, so the present application determines the overall temperature difference and the overall temperature change value of each sampling time period by the mean value; and then combined with the characteristics that the larger the standard temperature difference, the smaller the temperature instantaneous change value, the greater the corresponding temperature rise rate requirement, the larger the overall temperature difference, the smaller the overall temperature change value, the greater the corresponding temperature rise rate requirement, so the product between the negative correlation mapping value of the overall temperature change value and the overall temperature difference is further normalized, and the temperature rise rate adjustment coefficient of each mold area in each sampling time period is determined, so that the larger the temperature rise rate adjustment coefficient, the greater the required temperature rise rate.

[0062] In a specific implementation of the embodiment of the present invention, the process of obtaining the temperature rise rate adjustment coefficient is expressed by the formula: ;in, For the The mold area is in The temperature rise rate adjustment coefficient for each sampling time period; is the total number of sampling moments in the sampling time period; The preset standard temperature; For the The mold area is in In the sampling time period Temperature monitoring data at each sampling moment; For the The mold area is in In the sampling time period Temperature monitoring data at each sampling moment; For the The mold area is in In the sampling time period The standard temperature difference at each sampling time; For the The mold area is in The overall temperature difference during the sampling period; For the The mold area is in In the sampling time period The instantaneous temperature change value at each sampling moment; For the The mold area is in The overall temperature change value for each sampling period; is an exponential function with a natural constant as the base. Implementers can adopt other negative correlation mapping methods according to the specific implementation environment, such as , and the reciprocal, where is the hyperbolic tangent function, which will not be further described here; After normalization, the value range is The normalization function can be adjusted according to the specific implementation environment, but the value range after normalization must be .

[0063] Step S103: Determine the degree of influence of each mold area on the adjacent area in each sampling time period according to the overall relative temperature deviation distribution between each mold area and the adjacent mold area in each sampling time period; determine the reference adjustment coefficient of each mold area in each sampling time period according to the temperature rise rate adjustment coefficient and the degree of influence of the adjacent area.

[0064] Further considering that adjacent mold areas will produce a certain amount of heat transfer, that is, each mold area will be affected by the temperature difference of the surrounding mold areas, resulting in an increase or decrease in the temperature rise rate. Therefore, it is necessary to further measure the temperature rise demand of each mold area according to the temperature difference between the mold areas, and comprehensively represent the reference adjustment coefficient of each mold area in each sampling time period according to the obtained degree of influence of the adjacent areas combined with the temperature rise rate adjustment coefficient obtained by step S102, that is, the temperature rise rate requirement required by each mold area in each sampling time period.

[0065] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the degree of influence of the adjacent area includes:

[0066] Each mold area is taken as the target area in turn, and all mold areas adjacent to the target area are taken as the corresponding reference areas; that is, in the infrared image of the mold surface, all mold areas within the eight neighborhoods of the target area are taken as the corresponding reference areas; the reference area is the area adjacent to the target area that will produce a certain amount of heat transfer, so the temperature difference between each reference area and the target area is further combined to further measure the degree of influence of the adjacent area.

[0067] At each sampling moment in each sampling time period, the difference between the temperature monitoring data of each reference area and the temperature monitoring data of the target area is used as the adjacent relative temperature difference corresponding to each reference area; according to the overall size of the adjacent relative temperature differences of all reference areas at all sampling moments in each sampling time period, the degree of influence of the target area on the adjacent areas in each sampling time period is determined. Preferably, in some possible implementations of the embodiments of the present invention, according to the overall size of the adjacent relative temperature differences of all reference areas at all sampling moments in each sampling time period, the method for determining the degree of influence of the target area on the adjacent areas in each sampling time period includes: in each sampling time period, normalizing the mean of the adjacent relative temperature differences of all reference areas corresponding to the target area at all sampling moments, and determining the degree of influence of the target area on the adjacent areas in each sampling time period. It should be noted that the normalization function adopted in the embodiments of the present invention is Function, so that the normalized value range is , and when the value before normalization is greater than 0, the normalized value is greater than 0, when the value before normalization is less than 0, the normalized value is less than 0, and when the value before normalization is equal to 0, the normalized value is equal to 0; other normalization methods may also be used according to the specific implementation environment.

[0068] When the adjacent area influence degree obtained by normalizing the mean is a positive number, it means that the temperature of all reference areas in the corresponding sampling time period is higher than the temperature of the target area, and the overall heat transfer direction is from the reference area to the target area. Therefore, the temperature rise rate requirement of the target area needs to be reduced; conversely, when the adjacent area influence degree is a negative number, it means that the temperature of all reference areas in the corresponding sampling time period is lower than the temperature of the target area, and the overall heat transfer direction is from the target area to the reference area. Therefore, the temperature rise rate requirement of the target area needs to be increased; and for the temperature rise rate requirement, the larger the absolute value of the corresponding adjacent area influence degree, the greater the degree to which the temperature rise rate requirement needs to be adjusted. Therefore, the adjacent area influence degree is negatively correlated with the temperature rise rate requirement on the whole; that is, the larger the adjacent area influence degree, the smaller the required temperature rise rate requirement.

[0069] In a specific implementation of the embodiment of the present invention, the process of obtaining the influence degree of the adjacent area is expressed by the formula: ;in, For the The mold area is in The degree of influence of adjacent areas in each sampling period; For the The total number of reference areas for each mold area; is the total number of sampling moments in the sampling time period; For the In the sampling time period The mold area corresponds to the The reference area is in Temperature monitoring data at each sampling moment; For the In the sampling time period The mold area is in Temperature monitoring data at each sampling moment; For the In the sampling time period At the sampling time The mold area corresponds to the The adjacent relative temperature difference of the reference area; After normalization, the value range is The normalization function can be adjusted according to the specific implementation environment, but the value range after normalization must be .

[0070] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the reference adjustment coefficient includes:

[0071] The sum of the negative correlation mapping value of the adjacent area influence and the temperature rise rate adjustment coefficient is used as the reference adjustment coefficient of each mold area in each sampling time period. Since the smaller the adjacent area influence, the larger the temperature rise rate adjustment coefficient, the smaller the corresponding temperature rise rate requirement, so the reference adjustment coefficient can be used to characterize the temperature rise rate requirement of the corresponding mold area, so that the adjacent area influence is negatively correlated with the reference adjustment coefficient, and the temperature rise rate adjustment coefficient is positively correlated with the reference adjustment coefficient.

[0072] In a specific implementation of the embodiment of the present invention, the process of obtaining the reference adjustment coefficient is expressed by the formula: ;in, For the The mold area is in Reference adjustment coefficient for each sampling period; For the The mold area is in The degree of influence of adjacent areas in each sampling period; For the The mold area is in The temperature rise rate adjustment coefficient for each sampling period; right Negative correlation mapping is performed, which is very consistent with When a positive number is taken, the temperature rise rate requirement of the mold area will be reduced. Other methods can be used for negative correlation mapping according to the specific implementation environment, which will not be further elaborated here.

[0073] Step S104: in each sampling time period, according to the distance between each heater and each mold area and the reference adjustment coefficient, determine the temperature adjustment coefficient of each heater in each sampling time period; and adjust the heater PID parameters according to the temperature adjustment coefficient.

[0074] Since each mold area on the mold is affected by all heaters, and different heaters have different degrees of influence on each position, after obtaining the temperature rise rate requirements for each mold area, that is, the reference adjustment coefficient, it is necessary to further adjust each heater to meet the temperature rise rate requirements of each mold area as much as possible. The closer the mold area is to the heater, the greater the degree of influence of the heater on the temperature of the mold area. Therefore, in order to adjust each heater more accurately, it is necessary to combine the distance between the heater and each mold area based on the reference adjustment coefficient.

[0075] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the temperature adjustment coefficient includes:

[0076] Each heater around the mold is taken as the target heater in turn; the distance between the center point of the target heater and the center point of each mold area is negatively correlated to determine the distance influence degree corresponding to each mold area. The closer the distance, the greater the influence of the heater on the mold area, so it is necessary to negatively correlate the distance to obtain the distance influence degree that characterizes the temperature influence of the heater on the mold area. It should be noted that when the center point of the target heater cannot be determined, the implementer can also negatively correlate the minimum distance between all points on the target heater and the center of each mold area to obtain the distance influence degree, which will not be further elaborated here.

[0077] According to the reference adjustment coefficient and the distance influence degree corresponding to each mold area, the temperature influence coefficient of each mold area on the target heater is determined; the reference adjustment coefficient and the distance influence degree are both positively correlated with the temperature influence coefficient; preferably, in some possible implementation methods of the embodiments of the present invention, the method for obtaining the temperature influence coefficient includes: taking the product between the reference adjustment coefficient and the distance influence degree as the temperature influence coefficient of each mold area on the target heater. Since the greater the distance influence degree, the greater the influence of the heater on the mold area, the reference adjustment coefficient is weighted by the distance influence degree, and the temperature rise requirement for the heater can be determined based on each mold area. However, considering that each heater will affect all mold areas, the mean of the temperature influence coefficient of all mold areas on the target heater is further normalized to determine the reference adjustment coefficient of the target heater, that is, the reference adjustment coefficient that characterizes the temperature rise requirement of the heater; the greater the temperature rise requirement, the greater the temperature influence that the heater needs to provide.

[0078] In a specific implementation of the embodiment of the present invention, the process of obtaining the temperature influence coefficient is expressed by the formula: ;in, For the The heater is Reference adjustment coefficient for each sampling period; is the total number of mold areas; For the The center point of the heater is The distance between the center points of the mold areas; For the Heater Next The distance influence degree corresponding to each mold area is normalized by negative correlation so that the value range of the distance influence degree is limited to 0 to 1 to prevent the influence of different dimensions of distance data on the calculation results; For the The mold area is in Reference adjustment coefficient for each sampling period; For the In the sampling time period The mold area is The temperature influence coefficient of each heater; is a linear normalization function, and the normalized value range is , other normalization methods can be adopted according to the specific implementation environment, which will not be further described here.

[0079] Preferably, in some possible implementations of the embodiments of the present invention, the method for adjusting the heater PID parameters according to the temperature adjustment coefficient includes:

[0080] After each sampling period, the product of the positive correlation mapping value of the temperature adjustment coefficient and the proportional coefficient of each heater PID controller before adjustment is used as the correction proportional coefficient of each heater PID controller after each sampling period; the heater PID parameters are adjusted in real time according to the correction proportional coefficient. It should be noted that the proportional coefficient of the PID controller, that is, the proportional coefficient Kp, that is, P control, has a greater impact on the PID controller. Therefore, this application adjusts the heater temperature by adjusting the proportional coefficient, so that the larger the correction proportional coefficient, the greater the temperature output by the heater.

[0081] In a specific implementation of the embodiment of the present invention, the process of obtaining the correction proportional coefficient is expressed by the formula: ;in, For the After the sampling period ends, Correction proportional coefficient of the heater PID controller; For the The heater is Reference adjustment coefficient for each sampling period; For the After the sampling period ends, The proportional coefficient of the first heater PID controller before adjustment, that is, After the previous sampling period of the sampling period ends Correction proportional coefficient of the heater PID controller; In order to preset the positive correlation adjustment parameter, the embodiment of the present invention is set to 0.4, which can be adjusted according to the specific implementation environment; when the reference adjustment coefficient is greater than 0.6, the correction proportional coefficient is higher, that is, the temperature output by the heater is higher; conversely, when the reference adjustment coefficient is less than 0.6, the correction proportional coefficient is lower, and the temperature output by the heater is lower; and when the reference adjustment coefficient is equal to 0.6, the correction proportional coefficient is not adjusted.

[0082] It should be noted that, considering that the real-time adjustment process of the heater PID controller requires an initial parameter, that is, the proportional coefficient of the heater PID controller before adjustment in a sampling period, in a specific implementation of the embodiment of the present invention, the Ziegler-Nichols method is used to obtain the initial value of each heater PID control parameter through historical experiments. The specific process is:

[0083] First, the integral coefficient Ki and differential coefficient Kd of the heater PID controller are set to 0, and then the proportional coefficient Kp is continuously increased, that is, the proportional coefficient Kp is gradually increased from 0 until the system output starts to oscillate continuously, and the proportional coefficient Kp when the continuous oscillation begins is used as the critical value; further, the oscillation period is recorded; further, the initial values ​​of the PID control parameters of all heaters are calculated through the following process, and the specific calculation formula includes: ; ; ;in, is the initial value of the proportional coefficient in all heater PID control parameters, that is, the proportional coefficient before adjustment of all heater PID controllers in the first sampling period; is the critical value; is the oscillation period; The integral coefficient of all heater PID control parameters in all sampling time periods; Derivative coefficients for all heater PID control parameters in all sampling time periods.

[0084] After determining the correction proportional coefficient of each heater PID controller after each sampling time period ends, the proportional coefficient of the heater PID controller is adjusted to the corresponding correction proportional coefficient before entering the next sampling time period.

[0085] In summary, a method for fully automatic casting temperature control of automotive metal parts first preliminarily determines the temperature rise rate adjustment coefficient based on the temperature difference and time series change of the temperature monitoring data of the mold area relative to the standard temperature data in the dimension of temperature rise demand; then, based on the characteristics that the temperatures of adjacent mold areas will affect each other, the degree of influence of adjacent areas is determined according to the distribution of the overall temperature relative deviation between each mold area and the adjacent mold area; further, the reference adjustment coefficient required for the temperature of each mold area is determined in combination with the degree of neighborhood influence and the temperature rise rate adjustment coefficient, and on this basis, the temperature adjustment coefficient of each heater in each sampling time period is determined to be more accurate for measuring the degree of temperature regulation, so that the heater PID parameter adjustment according to the temperature adjustment coefficient is more accurate, thereby improving the effect of fully automatic casting temperature control of automotive metal parts.

[0086] This application also provides a fully automatic casting temperature control system for automotive metal parts. Figure 2 , which shows a structural diagram of a fully automatic casting temperature control system for automotive metal parts provided by an embodiment of the present invention, the system includes: a data acquisition module 201, a first determination module 202, a second determination module 203 and a heater PID parameter adjustment module 204.

[0087] The data acquisition module 201 is used to obtain all temperature monitoring data of each mold area in each sampling time period during the process of preheating the mold through the preheating furnace;

[0088] A first determination module 202 is used to determine a temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the standard deviation distribution and time series variation of the temperature data of each mold area in each sampling time period;

[0089] The second determination module 203 is used to determine the influence degree of each mold area on the adjacent area in each sampling time period according to the overall temperature relative deviation distribution between each mold area and the adjacent mold area in each sampling time period; determine the reference adjustment coefficient of each mold area in each sampling time period according to the temperature rise rate adjustment coefficient and the influence degree of the adjacent area;

[0090] The heater PID parameter adjustment module 204 is used to determine the temperature adjustment coefficient of each heater in each sampling time period according to the distance between each heater and each mold area and the reference adjustment coefficient in each sampling time period; and adjust the heater PID parameters according to the temperature adjustment coefficient.

[0091] It should be noted that the system provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, the above embodiment provides a temperature control system for fully automatic casting of automotive metal parts and an embodiment of a temperature control method for fully automatic casting of automotive metal parts, which belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0092] The present application also provides a computer device. Figure 3 , which shows a schematic diagram of the structure of a computer device provided by an embodiment of the present invention, the computer device includes a memory 301, a processor 302, and a computer program 303 stored in the memory 301 and running on the processor 302, wherein when the processor 302 executes the computer program 303, the computer device can execute any one of the above-mentioned fully automatic casting temperature control methods for automotive metal parts.

[0093] The embodiment of the present application also provides a computer program product. When the computer program product is run on a computer device, the computer device can execute any one of the above-mentioned fully automatic casting temperature control methods for automobile metal parts.

[0094] An embodiment of the present application also provides a computer-readable storage medium, in which a computer program code is stored. When the computer program code is executed on a computer device, the computer device can execute any one of the above-mentioned fully automatic casting temperature control methods for automobile metal parts.

[0095] In the embodiments provided in the present application, it should be understood that the provided computer device, computer program product and computer-readable storage medium are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the methods provided above and will not be repeated here.

[0096] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. 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.

[0097] 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.

Claims

1. A fully automatic casting temperature control method for automobile metal parts, characterized in that: The method comprises: During the process of preheating the mold by the preheating furnace, all temperature monitoring data of each mold area in each sampling time period are obtained; Determine the temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the standard deviation distribution and time series change of the temperature data of each mold area in each sampling time period; Determine the influence degree of each mold area on the adjacent area in each sampling time period according to the overall temperature relative deviation distribution between each mold area and the adjacent mold area in each sampling time period; determine the reference adjustment coefficient of each mold area in each sampling time period according to the temperature rise rate adjustment coefficient and the influence degree of the adjacent area; In each sampling time period, according to the distance between each heater and each mold area and the reference adjustment coefficient, the temperature adjustment coefficient of each heater in each sampling time period is determined; according to the temperature adjustment coefficient, the heater PID parameter is adjusted; The process of obtaining the mold area includes: The infrared image of the mold surface at each sampling moment is rasterized into a grid of 20 columns and 20 rows, and the area of ​​each grid on the mold corresponding to the infrared image of the mold surface is regarded as a mold area; The method for obtaining the temperature rise rate adjustment coefficient includes: In each sampling time period of each mold area, the difference between the preset standard temperature and the temperature monitoring data at each sampling moment is used as the standard temperature difference at each sampling moment; The difference between the temperature monitoring data at each sampling moment and the temperature monitoring data at the previous sampling moment is taken as the instantaneous temperature change value at each sampling moment; Determine the temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the overall size of the standard temperature difference and the overall size of the instantaneous temperature change value in each sampling time period of each mold area; The method for determining the temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the overall size of the standard temperature difference and the overall size of the instantaneous temperature change value in each sampling time period of each mold area includes: In each mold area, the average of the standard temperature differences of all sampling moments in each sampling time period is taken as the overall temperature difference of each sampling time period; In each mold area, the average of the instantaneous temperature change values ​​at all sampling moments in each sampling time period is taken as the overall temperature change value of each sampling time period; Normalizing the product of the negative correlation mapping value of the overall temperature change value and the overall temperature difference to determine a temperature rise rate adjustment coefficient of each mold area in each sampling time period; The method for obtaining the influence degree of the adjacent area includes: Taking each mold area as a target area in turn, and taking all mold areas adjacent to the target area as corresponding reference areas; At each sampling moment in each sampling time period, the difference between the temperature monitoring data of each reference area and the temperature monitoring data of the target area is used as the adjacent relative temperature difference corresponding to each reference area; according to the overall size of the adjacent relative temperature difference of all reference areas at all sampling moments in each sampling time period, the influence degree of the target area on the adjacent area in each sampling time period is determined; The method for determining the influence degree of the target area on the adjacent areas in each sampling time period according to the overall size of the adjacent relative temperature difference of all reference areas at all sampling moments in each sampling time period includes: In each sampling time period, the mean of the adjacent relative temperature differences of all reference areas corresponding to the target area at all sampling moments is normalized to determine the degree of influence of the target area on the adjacent areas in each sampling time period; The process of obtaining the reference adjustment coefficient includes: The sum of the negative correlation mapping value of the adjacent area influence degree and the temperature rise rate adjustment coefficient is used as the reference adjustment coefficient of each mold area in each sampling time period; The process of obtaining the temperature adjustment coefficient includes: Each heater around the mold is taken as a target heater in turn; the distance between the center point of the target heater and the center point of each mold area is negatively correlated and mapped to determine the distance influence degree corresponding to each mold area; Determine the temperature influence coefficient of each mold area on the target heater according to the reference adjustment coefficient and the distance influence degree corresponding to each mold area; the reference adjustment coefficient and the distance influence degree are both positively correlated with the temperature influence coefficient; Normalizing the mean values ​​of the temperature influence coefficients of all mold areas on the target heater to determine the reference adjustment coefficient of the target heater; The method for obtaining the temperature influence coefficient includes: The product of the reference adjustment coefficient and the distance influence degree is used as the temperature influence coefficient of each mold area on the target heater.

2. The method for fully automatic casting temperature control of automobile metal parts according to claim 1, characterized in that: The method for adjusting the heater PID parameter according to the temperature adjustment coefficient includes: After each sampling time period ends, the product of the positive correlation mapping value of the temperature adjustment coefficient and the proportional coefficient of each heater PID controller before adjustment is used as the correction proportional coefficient of each heater PID controller after each sampling time period ends; the heater PID parameters are adjusted in real time according to the correction proportional coefficient.

3. A fully automatic casting temperature control system for automobile metal parts, characterized in that: The system comprises: A data acquisition module is used to obtain all temperature monitoring data of each mold area in each sampling time period during the process of preheating the mold through the preheating furnace; A first determination module is used to determine the temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the standard deviation distribution and time series change of the temperature data of each mold area in each sampling time period; The method for obtaining the temperature rise rate adjustment coefficient includes: In each sampling time period of each mold area, the difference between the preset standard temperature and the temperature monitoring data at each sampling moment is used as the standard temperature difference at each sampling moment; The difference between the temperature monitoring data at each sampling moment and the temperature monitoring data at the previous sampling moment is taken as the instantaneous temperature change value at each sampling moment; Determine the temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the overall size of the standard temperature difference and the overall size of the instantaneous temperature change value in each sampling time period of each mold area; The method for determining the temperature rise rate adjustment coefficient of each mold area in each sampling time period according to the overall size of the standard temperature difference and the overall size of the instantaneous temperature change value in each sampling time period of each mold area includes: In each mold area, the average of the standard temperature differences of all sampling moments in each sampling time period is taken as the overall temperature difference of each sampling time period; In each mold area, the average of the instantaneous temperature change values ​​at all sampling moments in each sampling time period is taken as the overall temperature change value of each sampling time period; Normalizing the product of the negative correlation mapping value of the overall temperature change value and the overall temperature difference to determine a temperature rise rate adjustment coefficient of each mold area in each sampling time period; The second determination module is used to determine the influence degree of each mold area on the adjacent area in each sampling time period according to the overall temperature relative deviation distribution between each mold area and the adjacent mold area in each sampling time period; and determine the reference adjustment coefficient of each mold area in each sampling time period according to the temperature rise rate adjustment coefficient and the influence degree of the adjacent area; The method for obtaining the influence degree of the adjacent area includes: Taking each mold area as a target area in turn, and taking all mold areas adjacent to the target area as corresponding reference areas; At each sampling moment in each sampling time period, the difference between the temperature monitoring data of each reference area and the temperature monitoring data of the target area is used as the adjacent relative temperature difference corresponding to each reference area; according to the overall size of the adjacent relative temperature difference of all reference areas at all sampling moments in each sampling time period, the influence degree of the target area on the adjacent area in each sampling time period is determined; The method for determining the influence degree of the target area on the adjacent areas in each sampling time period according to the overall size of the adjacent relative temperature difference of all reference areas at all sampling moments in each sampling time period includes: In each sampling time period, the mean of the adjacent relative temperature differences of all reference areas corresponding to the target area at all sampling moments is normalized to determine the degree of influence of the target area on the adjacent areas in each sampling time period; The process of obtaining the reference adjustment coefficient includes: The sum of the negative correlation mapping value of the adjacent area influence degree and the temperature rise rate adjustment coefficient is used as the reference adjustment coefficient of each mold area in each sampling time period; The process of obtaining the temperature adjustment coefficient includes: Each heater around the mold is taken as a target heater in turn; the distance between the center point of the target heater and the center point of each mold area is negatively correlated and mapped to determine the distance influence degree corresponding to each mold area; Determine the temperature influence coefficient of each mold area on the target heater according to the reference adjustment coefficient and the distance influence degree corresponding to each mold area; the reference adjustment coefficient and the distance influence degree are both positively correlated with the temperature influence coefficient; Normalizing the mean values ​​of the temperature influence coefficients of all mold areas on the target heater to determine the reference adjustment coefficient of the target heater; A heater PID parameter adjustment module, for determining, in each sampling time period, a temperature adjustment coefficient of each heater in each sampling time period according to the distance between each heater and each mold area and the reference adjustment coefficient; and performing heater PID parameter adjustment according to the temperature adjustment coefficient; The method for obtaining the temperature influence coefficient includes: The product of the reference adjustment coefficient and the distance influence degree is used as the temperature influence coefficient of each mold area on the target heater.

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