Supercharged hot press temperature correction method and system

Abstract

The invention discloses a supercharged hot press temperature correction method and system, and relates to the technical field of data encryption, and the method comprises the steps: collecting temperature data and pressure data of the surface of a hot pressboard in a hot press through a high-precision sensor, carrying out the preprocessing, and carrying out the correction of the temperature of the hot pressboard based on the preprocessed temperature and pressure data; the method comprises the following steps: establishing a coupling relation model between temperature and pressure, determining an area needing to be corrected, performing local heating or local cooling adjustment on the area needing to be corrected, monitoring the influence of pressure change on temperature in real time in the area correction process, and dynamically adjusting the heating power. A complete and efficient supercharged hot press temperature correction method is formed through high-precision data acquisition, temperature-pressure coupling modeling, accurate correction area recognition and dynamic power adjustment, all the steps supplement one another, accurate control over hot press plate temperature distribution is jointly achieved, the temperature control precision, the response speed and the energy efficiency are remarkably improved, and the method is suitable for large-scale popularization and application. And a reliable technical guarantee is provided for improving the processing quality of the hot press.

Description

Technical Field

[0001] The invention relates to the technical field of temperature control of hot presses, and in particular to a temperature correction method and system for a booster hot press. Background Art

[0002] As a widely used industrial equipment, hot press plays a vital role in the production process of composite materials, electronic packaging, and rubber products. With the continuous improvement of product quality requirements in modern manufacturing, hot presses not only need to meet basic heating and pressurization functions, but also need to have precise temperature control capabilities to ensure product consistency and reliability. Traditional hot press technology has undergone a development process from manual operation to semi-automation and then to full automation, accompanied by the continuous evolution of temperature control methods. Early hot presses mainly relied on simple temperature sensors to achieve rough temperature monitoring, but with the advancement of microelectronics and computer technology, modern hot presses have been able to achieve more sophisticated temperature control by integrating high-precision sensing systems, intelligent control systems, and advanced algorithm models. Despite this, there are still certain limitations in the control of the uniformity of the surface temperature distribution of the hot press plate in the existing technology, especially when multiple points are heated simultaneously, the temperature difference between different areas may lead to inconsistent product quality;

[0003] Most of the existing hot press temperature control systems adopt a global constant power heating method. Although this method can ensure the stability of the average temperature of the entire hot press plate to a certain extent, it is difficult to adapt to the requirements of local temperature adjustment when facing complex workpieces and special process requirements. In addition, the traditional method fails to fully consider the impact of pressure changes on temperature distribution, which may lead to inaccurate temperature correction in actual operation and affect the quality of the final product. Especially in some high-precision applications, even very slight temperature fluctuations may cause product defects that cannot be ignored. Therefore, how to dynamically adjust the local temperature according to real-time pressure changes has become one of the problems that need to be solved in current hot press technology. The present invention aims to establish a coupling relationship model between temperature and pressure through high-precision collection and preprocessing of the surface temperature data and pressure data of the hot press plate, thereby achieving precise positioning of the area that needs to be corrected, and on this basis, effective local temperature adjustment is performed to overcome the deficiencies in the prior art. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a temperature correction method for a boosted hot press to solve the problem that the traditional method fails to fully consider the impact of pressure changes on temperature distribution, which may lead to inaccurate temperature correction in actual operation and affect the quality of the final product. Especially in some high-precision applications, even very slight temperature fluctuations may cause product defects that cannot be ignored.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for calibrating temperature of a booster hot press, comprising:

[0008] The temperature and pressure data on the surface of the hot press plate in the hot press are collected through high-precision sensors and pre-processed;

[0009] Based on the pre-processed temperature and pressure data, a coupling relationship model between temperature and pressure is established to identify the areas that need correction;

[0010] Perform local heating or cooling adjustments on the areas that need correction;

[0011] During the regional correction process, the impact of pressure changes on temperature is monitored in real time and the heating power is adjusted dynamically.

[0012] As a preferred embodiment of the temperature correction method of the booster hot press of the present invention, wherein:

[0013] The temperature data and pressure data of the surface of the hot pressing plate in the hot pressing machine are collected by a high-precision sensor and preprocessed. The specific steps are as follows:

[0014] Temperature sensors and pressure sensors are evenly arranged on the surface of the press plate of the booster hot press to collect temperature data and pressure data;

[0015] Use timestamp technology to synchronize temperature data and pressure data, and use wavelet transform to denoise temperature data and pressure data;

[0016] The pre-processed temperature data and pressure data are integrated into the hot press state data set D, and the hot press state data set is set to D. The expression is:

[0017] D = {x1, x2};

[0018] Among them, x1 represents temperature data and x2 represents pressure data.

[0019] As a preferred solution of the temperature correction method of the booster hot press of the present invention, wherein: based on the pre-processed temperature and pressure data, a coupling relationship model between temperature and pressure is established to clarify the area that needs to be corrected, and the specific steps are:

[0020] Map the temperature data x1 to a continuous temperature function T(x,y), and map the pressure data x2 to a continuous pressure function P(x,y). The expression is:

[0021]

[0022] Among them, φ i (x) represents the interpolation basis function along the x direction, ψ j (y) represents the interpolation basis function along the y direction, n represents the number of rows of the temperature and pressure data matrix, m represents the number of columns of the temperature and pressure data matrix, i represents the index of the number of rows of the temperature and pressure data matrix, and j represents the index of the number of columns of the temperature and pressure data matrix;

[0023] The coupled model of temperature and pressure is expressed as:

[0024]

[0025] Among them, T couple (x, y) represents the coupled temperature distribution, T0 is the reference uniform heating temperature of the hot press plate, α represents the linear coupling coefficient of pressure to temperature, β represents the thermal conductivity diffusion coefficient, Laplace operator representing the surface temperature of the hot platen;

[0026] Based on the coupled model of temperature and pressure, the area that needs correction is determined by calculating the deviation distribution of the surface temperature of the hot press plate.

[0027] As a preferred solution of the temperature correction method of the booster hot press of the present invention, the coupled model based on temperature and pressure calculates the deviation distribution of the surface temperature of the hot press plate to determine the area that needs to be corrected. The specific steps are:

[0028] Set the target temperature range to [T min , T max ], calculate the surface temperature deviation of the hot press plate ΔT(x, y), the expression is:

[0029] ΔT(x, y) = max{0, T couple (x, y)-T max}+max{0,T min -T couple (x, y)};

[0030] Among them, max represents the maximization function, T min Indicates the lower limit of the target temperature range, T max The upper limit of the target temperature range, ΔT represents the temperature deviation;

[0031] A threshold value θ is set, and points where the absolute value of the hot press plate surface temperature deviation ΔT(x, y) is greater than the threshold value θ are marked as areas that need to be corrected, and the correction area set S is integrated.

[0032] As a preferred solution of the temperature correction method of the booster hot press of the present invention, the specific steps of performing local heating and local cooling adjustment on the area to be corrected are as follows:

[0033] Calculate the deviation value for all points S in the correction area set and generate the deviation distribution function ΔT S (x, y), the expression is:

[0034] ΔT S (x, y) = T couple (x, y)-T target (x, y);

[0035] Among them, T target (x, y) represents the target temperature distribution;

[0036] According to the deviation distribution function ΔT S (x, y), calculate the required corrected power distribution Q(x, y), the expression is:

[0037]

[0038] Wherein, c represents the specific heat capacity of the hot pressing plate material, ρ represents the density of the hot pressing plate material, d represents the thickness of the hot pressing plate, and η represents the heat transfer efficiency coefficient;

[0039] According to the value of ΔT(x, y) and the corrected power distribution Q(x, y), the power of the heating device or the cooling device of the hot press is adjusted to perform local heating or local cooling on the hot press.

[0040] As a preferred solution of the temperature calibration method of the booster hot press of the present invention, in which: during the regional calibration process, the influence of pressure changes on temperature is monitored in real time, and the specific steps are:

[0041] Through the pressure sensor, real-time pressure data P is collected in the calibration area real (x, y), using P real (x, y) minus the initial pressure P(x, y) to calculate the real-time pressure P real The pressure change ΔP(x, y) between (x, y) and the initial pressure P(x, y);

[0042] Use the pressure change ΔP(x, y) to calculate its instantaneous effect on temperature ΔT P (x, y), the expression is:

[0043]

[0044] Among them, δ represents the lateral influence coefficient of pressure change on temperature diffusion, ε represents the longitudinal influence coefficient of pressure change on temperature diffusion, represents the second-order partial derivative, and ΔP represents the pressure change.

[0045] As a preferred solution of the temperature correction method of the booster hot press of the present invention, the specific steps of dynamically adjusting the heating power are as follows:

[0046] Based on the instantaneous effect of pressure change ΔP(x, y) on temperature ΔT P (x, y), dynamically adjust the heating power Q in the correction area comp (x, y), the dynamic distribution expression of the correction power is:

[0047]

[0048] Through the temperature sensor, real-time temperature data T is collected in the calibration area real (x, y), using the actual temperature T real (x, y) minus the target temperature distribution T target (x, y) to get the actual temperature deviation value ΔT real (x, y);

[0049] According to the actual temperature deviation value ΔT real (x, y), update the real-time power compensation, the expression is:

[0050] Q′(x, y) = Q comp (x, y)+k·ΔT real (x, y);

[0051] Wherein, Q′(x, y) represents the real-time power distribution after correction, and k represents the feedback gain coefficient;

[0052] |ΔT real The correction region set of (x, y)|>θ is S′, and the correction region set is updated dynamically;

[0053] When the actual temperature deviation of all points is ΔT real (x, y) all satisfy |ΔT real (x, y)|≤θ, the calibration is completed;

[0054] When |ΔT11 eal When (x, y)|>θ, the next round of adjustment will be continued until the actual temperature deviation value of all points is ΔTr. eal (x, y) all satisfy |ΔTrr eal (x, y)|≤θ.

[0055] In a second aspect, the present invention provides a temperature correction system for a supercharged hot press, including a data acquisition module, a coupling relationship modeling module, a local temperature adjustment module, a real-time dynamic correction module, and a correction verification module;

[0056] The data acquisition module collects temperature and pressure data on the surface of the hot pressing plate through high-precision sensors, and performs denoising and time synchronization on the data to establish a high-quality data foundation for subsequent analysis;

[0057] The coupling relationship modeling module: based on the pre-processed temperature and pressure data, establishes a coupling relationship model between temperature and pressure to identify the area that needs correction;

[0058] The local temperature adjustment module: for the area that needs to be corrected, local heating or cooling adjustment is performed in combination with the deviation data;

[0059] The real-time dynamic correction module: monitors the effect of pressure on temperature in real time during the correction process, and dynamically adjusts the heating power to take into account the effect of the interaction between temperature and pressure;

[0060] The calibration verification module: after the calibration is completed, verifies whether the temperature difference of each area meets the standard, and ensures that the temperature distribution of the hot pressing plate meets the design requirements.

[0061] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the temperature correction method for a boosted hot press as described in the first aspect of the present invention is implemented.

[0062] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the temperature correction method for a booster hot press as described in the first aspect of the present invention is implemented.

[0063] The beneficial effects of the present invention are as follows: through high-precision data acquisition, temperature-pressure coupling modeling, precise correction area identification, and dynamic power adjustment, a complete and efficient temperature correction method for a booster hot press is formed. The steps complement each other and together achieve precise control of the temperature distribution of the hot pressing plate, significantly improving the accuracy, response speed and energy efficiency of temperature control, and providing reliable technical guarantee for improving the processing quality of the hot press. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0065] Figure 1 This is a flow chart of the temperature correction method of the booster hot press in Example 1.

[0066] Figure 2 Schematic diagram of the temperature correction system of the booster hot press in Example 1. DETAILED DESCRIPTION

[0067] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0068] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0069] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0070] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides a temperature correction method for a supercharged hot press, comprising the following steps:

[0071] S1. Collect temperature data and pressure data on the surface of the hot pressing plate in the hot pressing machine through a high-precision sensor and perform preprocessing;

[0072] Temperature sensors and pressure sensors are evenly arranged on the surface of the press plate of the booster hot press to collect temperature data and pressure data;

[0073] Thermocouple sensors have the characteristics of fast response time and wide temperature measurement range, which are suitable for real-time acquisition of temperature changes on the surface of the hot press plate;

[0074] The piezoelectric pressure sensor has high sensitivity and dynamic response capability, and can accurately capture the real-time distribution of pressure on the hot platen surface;

[0075] The sensors were arranged in a square grid with a grid spacing of d = 0.01L (L is the side length of the hot press plate) to evenly cover the surface of the hot press plate. A temperature sensor and a pressure sensor were arranged at the center of each grid to ensure spatial uniformity of data acquisition.

[0076] High-precision sensors are placed on the surface of the hot press plate to collect temperature and pressure data, and time synchronization and denoising are performed to generate a high-quality hot press state data set, ensuring the accuracy and consistency of the data, and providing a reliable basis for the subsequent coupling model establishment and precise positioning of the correction area;

[0077] In the traditional hot press temperature correction method, data acquisition often has noise interference and time asynchrony problems, resulting in low correction accuracy. The present invention ensures the consistency of temperature and pressure data acquisition time through time synchronization technology, and uses wavelet transform to denoise the data, which significantly improves the accuracy and reliability of the data and provides a high-quality data foundation for subsequent modeling and correction.

[0078] Use timestamp technology to synchronize temperature data and pressure data to ensure the consistency of temperature and pressure data. Use wavelet transform to denoise temperature data and pressure data to eliminate the influence of environmental interference and sensor noise.

[0079] It solves the problems of data acquisition noise and time asynchrony, avoids correction deviation caused by data error, and high-precision data input directly improves the accuracy of correction;

[0080] The reliability of the data is ensured, and the influence of noise or acquisition time deviation on subsequent modeling and correction is avoided;

[0081] The pre-processed temperature data and pressure data are integrated into the hot press state data set D, and the hot press state data set is set to D. The expression is:

[0082] D = {x1, x2};

[0083] Among them, x1 represents temperature data, and x2 represents pressure data;

[0084] It provides reliable data support for the construction of the subsequent temperature and pressure coupling model, ensures the basic accuracy of the entire correction process, and avoids temperature correction offset caused by data errors through accurate data collection and preprocessing, greatly improving the accuracy and reliability of the entire correction system. Defining temperature and pressure data as state data set x is not only convenient for unified management, but also provides a structured data foundation for the mathematical expression of subsequent models. Organizing data in the form of state data sets is a prerequisite for the establishment of coupling relationship models.

[0085] The dynamic changes of temperature and pressure in the hot press are coupled. Processing temperature or pressure data separately may lead to missing key factors. By integrating the two types of data into the state data set x, the operating status of the hot press can be described more comprehensively, providing support for subsequent precise correction.

[0086] S2. Based on the pre-processed temperature and pressure data, a coupling relationship model between temperature and pressure is established to identify the area that needs correction;

[0087] Map the temperature data x1 to a continuous temperature function T(x,y), and map the pressure data x2 to a continuous pressure function P(x,y). The expression is:

[0088]

[0089] Among them, φ i (x) represents the interpolation basis function along the x direction, ψ j (y) represents the interpolation basis function along the y direction, n represents the number of rows of the temperature and pressure data matrix, m represents the number of columns of the temperature and pressure data matrix, i represents the index of the number of rows of the temperature and pressure data matrix, and j represents the index of the number of columns of the temperature and pressure data matrix;

[0090] By interpolating the basis function φ i (x) and ψ j (y) Establishing a two-dimensional spatial distribution function can expand discrete data into a continuous function, which is of great significance for subsequent deviation calculation and determination of local correction areas;

[0091] The surface temperature and pressure of the hot press plate are usually collected in the form of discrete points, but the correction requires continuous analysis of the entire surface. Fitting through interpolation basis functions helps to establish a more accurate global distribution model;

[0092] The coupling relationship between temperature and pressure is explicitly described, solving the problem that the influence of pressure on temperature distribution is not considered in traditional technology.

[0093] The coupled model of temperature and pressure is expressed as:

[0094]

[0095] Among them, T couple (x, y) represents the coupled temperature distribution, T0 is the reference uniform heating temperature of the hot press plate, α represents the linear coupling coefficient of pressure to temperature, β represents the thermal conductivity diffusion coefficient, Laplace operator representing the surface temperature of the hot platen;

[0096] The finite difference method is used to discretize the Laplace operator, and the expression is:

[0097]

[0098] This model combines the effect of pressure on temperature with the diffusion characteristics of temperature itself, and can more realistically reflect the physical properties of the hot platen surface;

[0099] In traditional technologies, temperature control often ignores the coupling effect of pressure on temperature, resulting in limited correction effect. The present invention establishes a coupling model of temperature and pressure to accurately describe the direct and indirect effects of pressure distribution on temperature. The introduction of coupling coefficient α and thermal diffusion coefficient β significantly improves the adaptability of the model to actual conditions.

[0100] A coupled relationship model between temperature and pressure was established to clarify the influence of pressure on temperature distribution and the characteristics of thermal diffusion. The coupled relationship model can effectively reveal the complex relationship between the temperature distribution and pressure distribution of the hot press plate, so as to accurately calculate the area that needs to be corrected.

[0101] This step significantly improves the scientificity and accuracy of the calibration area positioning, avoids the misjudgment of the calibration area caused by ignoring the pressure effect in the previous method, and solves the problem of not considering the coupling of temperature and pressure in the traditional hot press calibration method, making the calibration area positioning more accurate, especially under high pressure conditions, it can significantly improve the calibration accuracy, lay a theoretical foundation for the accurate positioning of the calibration area, and realize the quantitative analysis of the interaction between temperature and pressure through mathematical models;

[0102] Based on the coupled model of temperature and pressure, the deviation distribution of the surface temperature of the hot press plate is calculated to determine the area that needs correction;

[0103] Based on the process requirements, the target temperature range is set to [T min ,T max ], calculate the surface temperature deviation of the hot press plate ΔT(x,y), the expression is:

[0104] ΔT(x,y)=max{0,T couple (x,y)-T max}+max{0,T min -T couple (x,y)};

[0105] Among them, max represents the maximization function, T min Indicates the lower limit of the target temperature range, T max The upper limit of the target temperature range, ΔT represents the temperature deviation;

[0106] It is difficult for traditional technology to accurately locate the correction area, but the present invention achieves efficient correction through threshold judgment and deviation calculation, and comprehensively reflects the temperature-pressure dynamic characteristics of the hot press plate surface through physical model construction;

[0107] Traditional technologies often use a global correction method, which is inefficient and energy-intensive. The present invention calculates the temperature deviation and sets a threshold value, and only corrects the area where the deviation exceeds the range, which significantly improves the correction efficiency and reduces energy consumption. It solves the problem of resource waste in the global correction method and realizes the precision and localization of the correction area. The temperature deviation is an important criterion for judging the correction area. By maximizing the function max, it can effectively filter out points that meet the target temperature range, retaining only the area that needs to be corrected, and avoiding unnecessary energy waste.

[0108] By calculating the temperature deviation, the high temperature or low temperature area on the surface of the hot press plate can be quickly and accurately identified, providing a basis for subsequent local heating or cooling correction, reducing unnecessary correction operations, reducing energy consumption, and improving the efficiency and accuracy of correction;

[0109] When ΔT(x,y)>0, it means that the current point temperature is higher than the target range and needs to be cooled down;

[0110] When ΔT(x,y)<0, it means that the current point temperature is lower than the target range and needs to be heated and adjusted;

[0111] In the prior art, temperature deviation is often only regarded as an absolute value adjustment, without clearly distinguishing between over-high and under-low temperature situations, which may lead to unreasonable power allocation for heating and cooling, and even energy waste. Temperature deviation is usually dealt with by global adjustment, such as overall heating or cooling. This method easily leads to poor temperature uniformity. For example, global cooling may cause the temperature of a region that has reached the target temperature to drop, resulting in the need for secondary correction.

[0112] In the existing correction method, because the positive and negative temperature deviations are not distinguished, over-correction is prone to occur. For example, when the temperature in a certain area is too high, overall cooling may cause the temperature in other areas to be lower than the target range. In this case, additional energy is required for secondary heating, which increases energy consumption.

[0113] This refined adjustment significantly improves the efficiency and accuracy of the correction, reduces the correction time and equipment energy consumption, and the local correction method avoids the interference of the global adjustment on other areas, ensuring that the correction is completed within the smallest range, thereby improving the accuracy of the correction and the uniformity of the overall temperature distribution;

[0114] According to the processing requirements, a threshold value θ is set, and the points where the absolute value of the hot plate surface temperature deviation ΔT(x, y) is greater than the threshold value θ are marked as areas that need to be corrected, and the correction area set S is integrated;

[0115] This step accurately identifies the areas that need to be corrected, which not only reduces invalid correction operations and improves correction efficiency, but also avoids excessive adjustments to non-deviation areas and reduces energy consumption.

[0116] S3, performing local heating or local cooling adjustment on the area that needs to be corrected;

[0117] Calculate the deviation value for all points S in the correction area set and generate the deviation distribution function ΔT S (x, y), the expression is:

[0118] ΔT S (x, y) = T couple (x, y)-T target (x, y);

[0119] Among them, T target (x, y) represents the target temperature distribution;

[0120] According to the deviation distribution function ΔT S (x, y), calculate the required corrected power distribution Q(x, y), the expression is:

[0121]

[0122] Wherein, c represents the specific heat capacity of the hot pressing plate material, ρ represents the density of the hot pressing plate material, d represents the thickness of the hot pressing plate, and η represents the heat transfer efficiency coefficient;

[0123] Through power distribution calculation and local adjustment, it is possible to accurately perform differentiated corrections on different areas, avoiding the inefficiency of global heating or cooling methods, and avoiding overheating or overcooling caused by unreasonable correction power distribution in traditional technologies;

[0124] According to the value of ΔT(x, y) and the corrected power distribution Q(x, y), the power of the heating device or the cooling device of the hot press is adjusted to locally heat or locally cool the hot press;

[0125] For ΔT S (x, y) < 0, control the heating power Q of the heating module heat (x, y), so that the temperature gradually rises to the target range, the heating power control expression is:

[0126] Q heat (x,y)=max{0,-Q(x,y)};

[0127] For ΔT S (x, y)>0, control the heat dissipation power Q of the cooling module cool (x, y), so that the temperature is gradually reduced to the target range, the cooling power control expression is:

[0128] Q cool (x, y)=max{0, Q(x, y)};

[0129] It realizes the on-demand allocation of heat resources, greatly reduces the energy consumption of the heat press, and improves the accuracy and response speed of temperature correction.

[0130] S4. During the regional calibration process, the impact of pressure changes on temperature is monitored in real time, and the heating power is adjusted dynamically;

[0131] Through the pressure sensor, real-time pressure data P is collected in the calibration area real (x, y), using P real (x, y) minus the initial pressure P(x, y) to calculate the real-time pressure P real The pressure change ΔP(x, y) between (x, y) and the initial pressure P(x, y);

[0132] Use the pressure change ΔP(x, y) to calculate its instantaneous effect on temperature ΔT P (x, y), the expression is:

[0133]

[0134] Among them, δ represents the lateral influence coefficient of pressure change on temperature diffusion, ε represents the longitudinal influence coefficient of pressure change on temperature diffusion, represents the second-order partial derivative, ΔP represents the pressure change;

[0135] By real-time monitoring of pressure changes and their temperature effects, the temperature deviation caused by external factors or process fluctuations can be accurately compensated to ensure the accuracy of the correction process, achieve rapid response to dynamic changes, further improve the real-time and reliability of the correction, and introduce the lateral and longitudinal diffusion coefficients δ and ε of pressure changes to further improve the accuracy of dynamic correction;

[0136] Based on the instantaneous effect of pressure change ΔP(x, y) on temperature ΔT P (x, y), dynamically adjust the heating power Q in the correction area comp (x, y), the dynamic distribution expression of the correction power is:

[0137]

[0138] Through the temperature sensor, real-time temperature data T is collected in the calibration area real (x, y), using the actual temperature T real (x, y) minus the target temperature distribution T target (x, y) to get the actual temperature deviation value ΔT real (x, y);

[0139] The calculation of the correction power directly affects the correction effect. Combining the physical parameters and dynamic feedback of the hot platen can achieve more efficient power allocation to meet the correction requirements. Through real-time feedback updates, the dynamics and accuracy of temperature correction can be ensured.

[0140] According to the actual temperature deviation value ΔT real (x, y), update the real-time power compensation, the expression is:

[0141] Q′(x, y) = Q comp (x, y)+k·ΔT real (x, y);

[0142] Wherein, Q′(x, y) represents the real-time power distribution after correction, and k represents the feedback gain coefficient;

[0143] In traditional technologies, the correction process usually does not take into account the dynamic changes of pressure, resulting in correction lag or failure. The present invention ensures the real-time and adaptability of the correction process by real-time monitoring of pressure changes and dynamically adjusting the heating power, solves the problem of correction lag under dynamic conditions, makes the correction process more intelligent and efficient, realizes the real-time response capability of the temperature correction of the hot press, and significantly improves the dynamic performance of the correction.

[0144] By adjusting the heating power in real time, the temperature deviation can be eliminated quickly, the correction cycle can be shortened, and the temperature fluctuation caused by over-correction can be avoided. The feedback gain coefficient k is introduced to further optimize the correction power distribution through closed-loop control.

[0145] |ΔT real The correction region set of (x, y)|>θ is S′, and the correction region set is updated dynamically;

[0146] When the actual temperature deviation of all points is ΔT real (x, y) all satisfy |ΔT real (x, y)|≤θ, the calibration is completed;

[0147] When |ΔT real When (x, y)|>θ, the next round of adjustment is continued until the actual temperature deviation value ΔT of all points is real (x, y) all satisfy |ΔT real (x, y)|≤θ;

[0148] In traditional technologies, the conditions for ending calibration are unclear. The present invention solves this problem through real-time monitoring and dynamic updating, ensuring that the calibration process is terminated in time under the premise of meeting the accuracy requirements, avoiding unnecessary energy consumption and time waste, and improving the intelligence level of the calibration process. At the same time, it significantly reduces the energy consumption of system operation, realizes accurate and efficient temperature calibration, and greatly improves the working efficiency of the hot press and the consistency of product quality.

[0149] This embodiment also provides a temperature correction system for a supercharged hot press, including: a data acquisition module, a coupling relationship modeling module, a local temperature adjustment module, a real-time dynamic correction module, and a correction verification module;

[0150] Data acquisition module: collects temperature and pressure data on the surface of the hot press plate through high-precision sensors, performs denoising and time synchronization on the data, and establishes a high-quality data foundation for subsequent analysis;

[0151] Coupling relationship modeling module: Based on the pre-processed temperature and pressure data, a coupling relationship model between temperature and pressure is established to identify the areas that need correction;

[0152] Local temperature adjustment module: for the area that needs to be corrected, local heating or cooling adjustment is performed based on the deviation data;

[0153] Real-time dynamic correction module: monitors the effect of pressure on temperature in real time during the correction process, and dynamically adjusts the heating power to take into account the interaction between temperature and pressure;

[0154] Calibration verification module: After the calibration is completed, verify whether the temperature difference in each area meets the standard to ensure that the temperature distribution of the hot press plate meets the design requirements.

[0155] This embodiment also provides a computer device, which is applicable to the case of a temperature correction method for a boosted hot press, comprising: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the temperature correction method for a boosted hot press as proposed in the above embodiment.

[0156] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0157] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for implementing the temperature correction of a booster hot press as proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0158] In summary, the present invention forms a complete and efficient temperature correction method for a booster hot press through high-precision data acquisition, temperature-pressure coupling modeling, precise correction area identification, and dynamic power adjustment. The steps complement each other and together achieve precise control of the temperature distribution of the hot pressing plate, significantly improving the accuracy, response speed and energy efficiency of temperature control, and providing reliable technical guarantee for improving the processing quality of the hot press.

[0159] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A temperature correction method for a supercharged hot press, characterized in that: include, The temperature and pressure data on the surface of the hot press plate in the hot press are collected through high-precision sensors and pre-processed; Based on the pre-processed temperature and pressure data, a coupling relationship model between temperature and pressure is established to identify the areas that need correction; Perform local heating or cooling adjustments on the areas that need correction; During the regional correction process, the impact of pressure changes on temperature is monitored in real time and the heating power is adjusted dynamically.

2. The temperature calibration method of a supercharged hot press according to claim 1, characterized in that: The temperature data and pressure data of the surface of the hot pressing plate in the hot pressing machine are collected by a high-precision sensor and preprocessed. The specific steps are as follows: Temperature sensors and pressure sensors are evenly arranged on the surface of the press plate of the booster hot press to collect temperature data and pressure data; Use timestamp technology to synchronize temperature data and pressure data, and use wavelet transform to denoise temperature data and pressure data; The pre-processed temperature data and pressure data are integrated into the hot press state data set D, and the hot press state data set is set to D, and the expression is: D = {x1, x2}; Among them, x1 represents temperature data and x2 represents pressure data.

3. The temperature correction method of the supercharged hot press according to claim 2, characterized in that: Based on the pre-processed temperature and pressure data, a coupling relationship model between temperature and pressure is established to identify the area that needs to be corrected. The specific steps are as follows: Map the temperature data x1 to a continuous temperature function T(x,y), and map the pressure data x2 to a continuous pressure function P(x,y). The expression is: Among them, φ i (x0 represents the interpolation basis function along the x direction, ψ j (y) represents the interpolation basis function along the y direction, n represents the number of rows of the temperature and pressure data matrix, m represents the number of columns of the temperature and pressure data matrix, i represents the index of the number of rows of the temperature and pressure data matrix, and j represents the index of the number of columns of the temperature and pressure data matrix; The coupled model of temperature and pressure is expressed as: Among them, T couple (x, y) represents the coupled temperature distribution, T0 is the reference uniform heating temperature of the hot press plate, α represents the linear coupling coefficient of pressure to temperature, β represents the thermal conductivity diffusion coefficient, Laplace operator representing the surface temperature of the hot platen; Based on the coupled model of temperature and pressure, the area that needs correction is determined by calculating the deviation distribution of the surface temperature of the hot press plate.

4. The temperature calibration method of a supercharged hot press as claimed in claim 3, characterized in that: The coupling model based on temperature and pressure calculates the deviation distribution of the surface temperature of the hot pressing plate to determine the area that needs to be corrected. The specific steps are: Set the target temperature range to [T min ,T max ], calculate the surface temperature deviation of the hot press plate ΔT(x,y), the expression is: ΔT(x,y)=max{0,T couple (x,y)-T max }+max{0,T min -T couple (x,y)}; Among them, max represents the maximization function, T min Indicates the lower limit of the target temperature range, T max The upper limit of the target temperature range, ΔT represents the temperature deviation; A threshold value θ is set, and points where the absolute value of the hot platen surface temperature deviation ΔT(x, y) is greater than the threshold θ are marked as areas that need to be corrected, and the correction area set S is integrated.

5. The temperature calibration method of a supercharged hot press as claimed in claim 4, characterized in that: The specific steps of performing local heating and local cooling adjustment on the area to be corrected are as follows: Calculate the deviation value for all points S in the correction area set and generate the deviation distribution function ΔT S (x,y), the expression is: ΔT S (x,y)=T couple (x,y)-T target (x,y); Among them, T target (x,y) represents the target temperature distribution; According to the deviation distribution function ΔT S (x, y), calculate the required corrected power distribution Q(x, y), the expression is: Wherein, c represents the specific heat capacity of the hot pressing plate material, ρ represents the density of the hot pressing plate material, d represents the thickness of the hot pressing plate, and η represents the heat transfer efficiency coefficient; According to the value of ΔT(x,y) and the corrected power distribution Q(x,y), the power of the heating device or the cooling device of the hot press is adjusted to perform local heating or local cooling on the hot press.

6. The temperature calibration method of a supercharged hot press as claimed in claim 5, characterized in that: During the regional calibration process, the effect of pressure change on temperature is monitored in real time, and the specific steps are as follows: Through the pressure sensor, real-time pressure data P is collected in the calibration area real (x,y), calculate the real-time pressure P real The pressure change ΔP(x,y) between (x,y) and the initial pressure P(x,y); Use the pressure change ΔP(x,y) to calculate its instantaneous effect on temperature ΔT P (x,y), the expression is: Among them, δ represents the lateral influence coefficient of pressure change on temperature diffusion, ε represents the longitudinal influence coefficient of pressure change on temperature diffusion, represents the second-order partial derivative, and ΔP represents the pressure change.

7. The temperature calibration method of a supercharged hot press as claimed in claim 6, characterized in that: The specific steps of dynamically adjusting the heating power are as follows: Based on the instantaneous effect of pressure change ΔP(x,y) on temperature ΔT P (x,y), dynamically adjust the heating power Q in the correction area comp (x,y), the dynamic distribution expression of the correction power is: Through the temperature sensor, real-time temperature data T is collected in the calibration area real (x,y), and calculate the actual temperature deviation ΔT real (x,y); According to the actual temperature deviation value ΔT real (x,y), update the real-time power compensation, the expression is: Q'(x,y)=Q comp (x,y)+k·ΔT real (x,y); Wherein, Q'(x,y) represents the real-time power distribution after correction, and k represents the feedback gain coefficient; ·ΔT real The correction region set of (x,y)|>θ is S', and the correction region set is updated dynamically; When the actual temperature deviation of all points is ΔT real (x,y) both satisfy |ΔT real (x,y)|≤θ, the calibration is completed; When |ΔT real When (x,y)|>θ, the next round of adjustment will be continued until the actual temperature deviation value of all points is ΔT real (x,y) both satisfy |ΔT real (x,y)|≤θ.

8. A temperature correction system for a supercharged hot press, based on the temperature correction method for a supercharged hot press according to any one of claims 1 to 7, characterized in that: Including data acquisition module, coupling relationship modeling module, local temperature adjustment module, real-time dynamic correction module, correction verification module; The data acquisition module collects temperature and pressure data on the surface of the hot pressing plate through high-precision sensors, and performs denoising and time synchronization on the data to establish a high-quality data foundation for subsequent analysis; The coupling relationship modeling module: based on the pre-processed temperature and pressure data, establishes a coupling relationship model between temperature and pressure to identify the area that needs correction; The local temperature adjustment module: for the area that needs to be corrected, local heating or cooling adjustment is performed in combination with the deviation data; The real-time dynamic correction module: monitors the effect of pressure on temperature in real time during the correction process, and dynamically adjusts the heating power to take into account the effect of the interaction between temperature and pressure; The calibration verification module: after the calibration is completed, verifies whether the temperature difference of each area meets the standard, and ensures that the temperature distribution of the hot pressing plate meets the design requirements.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the temperature correction method for a booster hot press machine according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the temperature correction method for a booster hot press machine according to any one of claims 1 to 7 are implemented.

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