Method and system for intelligently controlling drying temperature of shell making line

Abstract

The present invention relates to the field of data processing technology, and specifically to a method and system for intelligently controlling the drying temperature of a shell making line. The method comprises: obtaining a temperature increase based on the humidity level and humidity fluctuation of a drying environment within a reference time period at the current moment, and the coating thickness of each thickness area on the shell surface; obtaining a temperature control instruction based on the temperature increase and the heating rate, taking into account the difference in coating thickness in different areas of the shell, thereby improving the reliability of temperature control; outputting a continued heating instruction after the temperature control is completed, and the continued heating time is obtained by the humidity decrease rate of the drying environment within the reference time period, the heating rate, and the coating thickness difference of adjacent thickness areas on the shell surface; and continuing heating for a period of time after the temperature control is completed to ensure that areas with different coating thicknesses can achieve the desired drying effect, thereby preventing uneven surface and internal drying of areas with different coating thicknesses.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method and system for intelligently controlling the drying temperature of a shell making line. Background Art

[0002] The shell production line is a production line composed of a series of equipment and processes used to manufacture casting shells during the precision casting process. It usually includes multiple processes such as wax pattern making, slurry dipping, sand pouring, and drying. Its main function is to produce a strong and precise shell for metal casting through a series of process steps. Common application areas of shell production lines include aerospace, automobiles, machinery, art sculptures, etc. The shell is dried in a drying environment, where the drying environment is usually an air-conditioned room. The drying process in the air-conditioned room is a key step in the entire shell production process. The purpose is to ensure that the wax pattern can be dried evenly and quickly during the shell production process by controlling the temperature and humidity conditions in the air-conditioned room, while preventing damage to the surface and internal structure of the wax pattern due to excessive temperature or excessive humidity. The intelligent control system can ensure that each layer of coating is dried evenly at the appropriate temperature, preventing local temperature unevenness from causing inconsistent coating quality, thereby ensuring the quality of the final casting.

[0003] Existing intelligent temperature control methods for shell production lines typically involve manually setting a target temperature and then controlling the operation of the air-conditioning room based on that target temperature. However, temperature control based solely on the target temperature takes too few factors into account. For example, variations in coating thickness across different areas of the shell lead to varying heat conduction rates, resulting in uneven drying of the shells and reduced temperature control accuracy, thus affecting temperature control reliability. Summary of the Invention

[0004] In order to solve the technical problem of poor control reliability of the existing drying temperature control method for shell making lines, the purpose of the present invention is to provide a method and system for intelligently controlling the drying temperature of shell making lines. The technical solutions adopted are as follows:

[0005] In a first aspect of the present invention, a method for intelligently controlling the drying temperature of a shell making line is provided, comprising:

[0006] Obtaining environmental characteristic values ​​for each thickness region at the current moment based on the humidity level and humidity fluctuation of the drying environment during the reference period at the current moment, and the coating thickness of each thickness region on the shell surface;

[0007] Based on the environmental characteristic values ​​of each thickness region at the current moment, the temperature increase at the current moment is obtained;

[0008] Outputting a temperature control instruction to perform temperature control based on the current temperature increase and heating rate; the heating rate is inversely correlated with the temperature increase;

[0009] After the temperature control is completed, the continued heating time is obtained according to the humidity drop rate of the drying environment during the reference period, the heating rate and the coating thickness difference of adjacent thickness areas on the shell surface; based on the continued heating time, a continued heating instruction is output to continue temperature control.

[0010] In an exemplary embodiment, the process of obtaining humidity fluctuations includes:

[0011] According to the tangent slope of the humidity fitting curve at each moment, the information entropy of the tangent slope is obtained; the humidity fitting curve is obtained by fitting the humidity values ​​at each moment in the reference time period;

[0012] Obtaining the number of extreme value points in the humidity value at each moment within the reference period;

[0013] Obtaining a humidity fluctuation factor according to the information entropy and the number of extreme points; wherein the humidity fluctuation factor is positively correlated with both the information entropy and the number of extreme points;

[0014] The humidity level is the average humidity value of the humidity values ​​at each moment in the reference time period.

[0015] In an exemplary embodiment, the process of obtaining the environmental characteristic value includes:

[0016] According to the humidity average value and humidity fluctuation factor at the current moment, and the coating thickness of each thickness area, the environmental characteristic value of each thickness area is obtained; the environmental characteristic value is positively correlated with the humidity average value, humidity fluctuation factor and coating thickness of each thickness area.

[0017] In an exemplary embodiment, the process of obtaining the temperature increase includes:

[0018] Calculate the average value of the environmental characteristic values ​​of each thickness area at the current moment;

[0019] Obtaining a temperature increase coefficient, where the temperature increase coefficient is positively correlated with an average value of the environmental characteristic value;

[0020] The temperature increase is obtained according to the temperature increase coefficient and a preset initial temperature.

[0021] In an exemplary embodiment, the humidity decrease rate is the average of the absolute values ​​of the target tangent slopes in the humidity fitting curve; the target tangent slope is a tangent slope with a negative index value; the humidity fitting curve is obtained by fitting the humidity values ​​at each moment in the reference time period.

[0022] In an exemplary embodiment, the process of obtaining the coating thickness difference includes:

[0023] Obtaining the absolute value of the coating thickness difference between a first thickness region and each adjacent thickness region, and calculating the average value to obtain the coating thickness sub-difference of the first thickness region; the first thickness region is any thickness region;

[0024] The average value of the coating thickness sub-differences in each thickness region is calculated as the coating thickness difference.

[0025] In an exemplary embodiment, the process of obtaining the continued heating time includes:

[0026] A heating time coefficient is obtained according to the humidity drop rate, the heating rate, and the coating thickness difference; the heating time coefficient is positively correlated with the coating thickness difference and the heating rate, and is inversely correlated with the humidity drop rate;

[0027] The continued heating time is obtained according to the heating time coefficient and the preset heating time.

[0028] In an exemplary embodiment, the method for intelligently controlling the drying temperature of a shell making line further includes:

[0029] Outputting a hot air circulation system wind speed instruction for controlling the operation of the hot air circulation system while continuing heating, the hot air circulation system wind speed instruction is obtained by the continued heating time and the humidity level of the drying environment within the reference time period.

[0030] In an exemplary embodiment, the process of obtaining the target wind speed corresponding to the wind speed instruction of the hot air circulation system includes:

[0031] Obtaining a wind speed increase coefficient according to the continued heating time and the humidity level; the wind speed increase coefficient is positively correlated with the humidity level and inversely correlated with the continued heating time;

[0032] The target wind speed is obtained according to the wind speed increase coefficient and the preset wind speed.

[0033] In a second aspect of the present invention, a drying temperature intelligent control system for a shell making line is provided, comprising: a memory and a processor; the memory is connected to the processor; the memory is used to store program instructions; the processor is used to implement the above-mentioned drying temperature intelligent control method for a shell making line when the program instructions are executed.

[0034] The present invention has the following beneficial effects: since the humidity level and humidity fluctuation of the drying environment, as well as the different coating thicknesses of various thickness areas on the shell surface all affect the environmental characteristic values, the environmental characteristic values ​​of each thickness area are obtained, and based on the environmental characteristic values ​​of each thickness area, the temperature increase at the current moment is obtained, so that the drying environment temperature can be regulated according to the temperature increase and the heating rate. The temperature regulation process takes into account the differences in coating thicknesses in different areas of the shell, thereby improving the uniformity of shell drying and improving the reliability of temperature regulation; moreover, since areas with different coating thicknesses react differently to temperature, heating is not stopped immediately after temperature regulation is completed, but is continued for a period of time to ensure that areas with different coating thicknesses can achieve the desired drying effect, prevent uneven surface and internal drying of areas with different coating thicknesses, further ensure the reliability of drying temperature regulation of the shell making line, and ensure the quality and production efficiency of the shell. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a flow chart of a method for intelligently controlling the drying temperature of a shell making line provided by one embodiment of the present invention;

[0036] Figure 2 is a flow chart for obtaining humidity fluctuations provided by one embodiment of the present invention;

[0037] Figure 3 is a flow chart for obtaining the temperature increase provided by one embodiment of the present invention;

[0038] Figure 4 is a flow chart for obtaining coating thickness differences provided by one embodiment of the present invention;

[0039] Figure 5 This is a flow chart for obtaining the continued heating time provided by one embodiment of the present invention;

[0040] Figure 6 This is a flow chart for obtaining a target wind speed according to an embodiment of the present invention. DETAILED DESCRIPTION

[0041] To further illustrate the technical means and effects employed by the present invention to achieve its intended objectives, the following detailed description of the specific embodiments, structures, features, and effects of the present invention is provided in conjunction with the accompanying drawings and preferred embodiments. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the art to which this invention pertains. The data and information collected in this application were obtained with full consent and authorization.

[0043] The present embodiment provides a method for intelligently controlling the drying temperature of a shell making line. The application scenario targeted by the method for intelligently controlling the drying temperature of a shell making line is as follows: the surface of an ideal shell should be uniform and free of accumulation, and should have a coating of moderate thickness while ensuring a sufficient powder-to-material ratio. The shell must be fully dried to have sufficient strength, so drying is a continuation of the shell hardening process. If the shell is hardened and not dried thoroughly, it is easy to produce delamination and bulging, which will cause defects such as clamping and wrinkling on the surface of the shell, especially precision castings. Therefore, the temperature control during the drying process will directly affect the quality of the shell making. The purpose of the present invention is to achieve intelligent control of the drying temperature of the shell making line based on the influence of uneven shell thickness on the drying temperature control and the changes in humidity data in the drying environment during the drying process.

[0044] In this embodiment, the drying environment is specifically an air-conditioned room to achieve temperature control. It should be understood that before entering the air-conditioned room, the shell has already undergone treatments such as slurry dipping and sanding, resulting in a surface coating. After entering the air-conditioned room, the shell is hung in a designated position within the catenary system within the room to ensure that the shell does not contact other objects during the drying process, thereby preventing uneven drying.

[0045] like Figure 1 As shown, this embodiment provides a method for intelligently controlling the drying temperature of a shell making line, comprising:

[0046] Step S1: obtaining the environmental characteristic value of each thickness area at the current moment based on the humidity level and humidity fluctuation of the drying environment during the reference period at the current moment, and the coating thickness of each thickness area on the shell surface;

[0047] Step S2: obtaining the temperature increase at the current moment based on the environmental characteristic values ​​of each thickness region at the current moment;

[0048] Step S3: Outputting a temperature control instruction to perform temperature control based on the current temperature increase and heating rate; the heating rate is inversely correlated with the temperature increase;

[0049] Step S4: After the temperature control is completed, the continued heating time is obtained according to the humidity decrease rate of the drying environment during the reference period, the heating rate and the difference in coating thickness between adjacent thickness areas on the shell surface; based on the continued heating time, a continued heating instruction is output to continue temperature control.

[0050] The specific implementation process of each step is described below with reference to the accompanying drawings.

[0051] Step S1: obtaining the environmental characteristic value of each thickness area at the current moment according to the humidity level and humidity fluctuation of the drying environment in the reference period at the current moment and the coating thickness of each thickness area on the shell surface.

[0052] A temperature and humidity sensor is set in the drying environment to obtain the humidity time series and temperature time series of the drying environment. In an exemplary embodiment, the temperature and humidity sensor uses a digital temperature and humidity sensor. The digital temperature and humidity sensor has the characteristics of high precision, good stability, and easy connection, and can sense the temperature and humidity in the drying environment in real time. In order to obtain the accurate temperature and humidity of the drying environment, the temperature and humidity sensor should be installed in the drying environment to avoid being near the air outlet of the air conditioner, windows, walls or heat sources. The center of the air-conditioned room or a place with good air circulation can be selected to accurately monitor the temperature and humidity. In order to accurately obtain the instantaneous changes in temperature and humidity, the acquisition frequency of the temperature and humidity sensor can be set higher, such as once per second.

[0053] Initially, before the shell is dried, a large number of test points are set on the shell surface to obtain the coating thickness at each test point. To facilitate subsequent accurate determination of thickness zones, the test points are evenly distributed on the shell surface, with the distance between adjacent test points being relatively small, i.e., the test points are densely arranged. In one exemplary embodiment, an ultrasonic detector can be used to obtain the coating thickness at each test point based on ultrasonic thickness measurement. A region growing algorithm is then used to obtain thickness zones on the shell surface. Specifically, a random test point is used as a seed point, and the difference between the coating thickness of each adjacent test point and the coating thickness of the seed point is calculated. If the difference is less than a predetermined difference, the two test points belong to the same thickness zone. This algorithm is repeated to obtain all test points belonging to the same thickness zone, and the region formed by these test points is defined as the first thickness zone. The same process is then repeated using another random test point as a seed point to obtain a second thickness zone, and this process continues until all test points have been partitioned, dividing the shell surface into thickness zones. Consequently, the difference in coating thickness between test points within the same thickness zone is small, while the difference in coating thickness between test points in different thickness zones is large.

[0054] During the shell production process, the shell coating is typically formed through multiple coats and drying cycles. The thickness of these coats can vary depending on factors such as the coating method, material fluidity, and air circulation. Especially in complex shell structures, certain areas may have different thicknesses due to design requirements. For example, the edges of the shell may be thinner, while the center or certain reinforced areas may be thicker. During the shell production line drying process, the speed and effectiveness of the coating drying are closely related to the coating thickness. The varying coating thicknesses in different thickness areas will result in different heat transfer rates in different areas. Areas with thicker coatings have difficulty transferring heat quickly to the interior, resulting in slower heating and drying rates. However, areas with thinner coatings have faster heat transfer and a faster temperature rise. Therefore, the temperature is gradually increased during the drying process to allow the heat to gradually penetrate the thicker coating areas of the shell, ensuring even heating throughout the shell.

[0055] During the drying process, changes in the drying environment's temperature and humidity directly affect the rate of water evaporation during shell production. Real-time monitoring of this data allows for precise temperature control strategies at each moment. For example, if the humidity is high, indicating that the water has not fully evaporated, the temperature can be appropriately increased. If the humidity is low, the heating temperature needs to be adjusted promptly to prevent excessive evaporation and cracking of the shell.

[0056] During the drying process, taking the current moment as an example, the reference time period of the current moment is obtained. In order to enable the reference time period of the current moment to accurately characterize the characteristics of the current moment, in an exemplary embodiment, the end moment of the reference time period is the current moment, and the start moment of the reference time period is set by the implementer according to actual needs, that is, the length of the reference time period is set according to actual needs, for example, the length of the reference time period is 60 moments.

[0057] The humidity level and humidity fluctuation of the drying environment during the reference period at the current moment, as well as the coating thickness of each thickness area on the shell surface, determine the environmental characteristic performance of each thickness area at the current moment. Therefore, based on the humidity level and humidity fluctuation of the drying environment during the reference period at the current moment, as well as the coating thickness of each thickness area on the shell surface, the environmental characteristic value of each thickness area at the current moment is obtained, and the environmental characteristic value represents the drying demand of each thickness area at the current moment.

[0058] Since the reference period of the current moment includes multiple moments, and a humidity value is collected at each moment, the reference period of the current moment includes multiple humidity values. For the sake of convenience, the humidity values ​​of each moment in the reference period of the current moment constitute the reference humidity sequence of the current moment.

[0059] The humidity level represents the overall humidity of the drying environment within the reference period at the current moment. In an exemplary embodiment, the humidity level is the average humidity value of each moment within the reference period at the current moment, that is, the average humidity value of the reference humidity sequence.

[0060] Humidity fluctuation represents the fluctuation of humidity in the drying environment within the reference period at the current moment. In an exemplary embodiment, Figure 2 As shown, a specific process of obtaining humidity fluctuations is given as follows:

[0061] Step S1-1: Obtain information entropy of the tangent slope according to the tangent slope at each moment in the humidity fitting curve.

[0062] A humidity fitting curve is performed on the humidity values ​​at each moment within the reference period to obtain a humidity fitting curve. This curve fitting is typically performed using the least squares method. The tangent slope of each moment in the humidity fitting curve is then obtained. A positive tangent slope indicates an increasing humidity value at that moment, while a negative tangent slope indicates a decreasing humidity value.

[0063] The information entropy of the tangent slope at each moment in the humidity fitting curve is obtained. The larger the value of the information entropy, the richer the information contained in the tangent slope, that is, the more dramatic the change in the tangent slope in the humidity fitting curve is, and the more obvious the fluctuation is.

[0064] Step S1-2: Obtain the number of extreme value points in the humidity value at each moment in the reference period.

[0065] Obtain the extreme humidity values ​​within the current reference period. These extreme points include both maximum and minimum values. The sum of the maximum and minimum values ​​is then calculated as the number of extreme points. A greater number of extreme points indicates a more dramatic change in humidity within the current reference period, and a more pronounced fluctuation.

[0066] Step S1-3: Obtain the humidity fluctuation factor based on the information entropy and the number of extreme points.

[0067] The humidity fluctuation factor characterizes the degree of humidity fluctuation within a reference period at the current moment. The humidity fluctuation factor is derived based on information entropy and the number of extreme value points. The humidity fluctuation factor is positively correlated with both information entropy and the number of extreme value points. In one exemplary embodiment, the product of information entropy and the number of extreme value points is calculated and then normalized. The normalized result serves as the humidity fluctuation factor at the current moment. The normalization method here can be a sigmoid function.

[0068] Thicker coatings increase the difficulty of drying in thicker areas. Heat must penetrate the thicker coating material to reach the interior of the shell, causing the drying process to take longer. Therefore, the environmental characteristic values ​​for thickness zones with different coating thicknesses vary. The environmental characteristic values ​​for each thickness zone are then determined based on the current average humidity and humidity fluctuation factor, as well as the coating thickness of each thickness zone. A higher average humidity indicates a higher humidity in the drying environment, requiring the air conditioner to expend more energy for drying. This is because more moisture in the air slows the evaporation rate. Therefore, higher humidity results in higher environmental characteristic values, i.e., larger environmental characteristic values. A larger humidity fluctuation factor indicates more dramatic humidity fluctuations, requiring higher environmental characteristic values ​​to ensure effective drying. Therefore, the environmental characteristic values ​​are positively correlated with the average humidity, humidity fluctuation factor, and coating thickness of each thickness zone.

[0069] For ease of illustration, let's take any thickness region as an example and define it as the first thickness region. The coating thickness values ​​for each detection point within the first thickness region are obtained, and then the average of these coating thickness values ​​is calculated as the coating thickness for the first thickness region. The coating thickness for the first thickness region is then normalized to facilitate subsequent quantification. The normalization method here can be a sigmoid function.

[0070] In an exemplary embodiment, a specific quantification method of the environmental characteristic value of the thickness region is given as follows:

[0071] ;

[0072] in, represents the environmental characteristic value of the hth thickness region at the current moment, Indicates the humidity fluctuation factor at the current moment, Represents the normalized average humidity at the current moment, represents the normalized coating thickness of the hth thickness region. The normalization method used is the sigmoid function.

[0073] The above calculation method is essentially to obtain the environmental characteristic value of the thickness area by comprehensively analyzing the humidity fluctuation factor, the humidity average value and the coating thickness of the thickness area. Moreover, these three aspects are integrated by weighted summation, and the weights are equal.

[0074] Step S2: Based on the environmental characteristic values ​​of each thickness region at the current moment, the temperature increase at the current moment is obtained.

[0075] According to step S1, the environmental characteristic values ​​of each thickness region at the current moment are obtained. The larger the environmental characteristic values ​​of each thickness region at the current moment, the higher the drying temperature required, that is, the greater the temperature increase. Then, based on the environmental characteristic values ​​of each thickness region at the current moment, the temperature increase at the current moment is obtained.

[0076] In an exemplary embodiment, Figure 3 As shown, a specific process for obtaining the temperature increase is given as follows:

[0077] Step S2-1: Calculate the average value of the environmental characteristic values ​​of each thickness area at the current moment.

[0078] After obtaining the environmental characteristic values ​​of each thickness region at the current moment, the average environmental characteristic value of the environmental characteristic values ​​of each thickness region at the current moment is calculated.

[0079] Step S2-2: Obtain the temperature increase coefficient.

[0080] The average environmental characteristic value represents the overall level of the environmental characteristic value at the current moment. The larger the average environmental characteristic value, the greater the temperature increase. Therefore, the temperature increase coefficient is obtained based on the average environmental characteristic value. The temperature increase coefficient is positively correlated with the average environmental characteristic value. In an exemplary embodiment, the average environmental characteristic value is used as the temperature increase coefficient.

[0081] Step S2-3: Obtain the temperature increase according to the temperature increase coefficient and the preset initial temperature.

[0082] An initial drying temperature is preset, and this preset initial temperature serves as a basis for increasing the drying temperature. The drying temperature is further increased based on this preset initial temperature. This preset initial temperature can be set based on experience. In an exemplary embodiment, the current temperature of the drying environment is used as the preset initial temperature, and the drying temperature is further increased based on this preset initial temperature.

[0083] In one exemplary embodiment, the product of the temperature increase coefficient at the current moment and the preset initial temperature is calculated, and this product is used as the temperature increase corresponding to the current moment. Preferably, if the obtained temperature increase is a decimal, the temperature increase can be rounded up, and all subsequent temperature increases referred to are rounded values.

[0084] Since the entire air-conditioned room is dried uniformly, the temperature distribution cannot be completely uniform. Gradual heating can make the temperature change more gradual, avoiding the impact of sudden temperature fluctuations on different thickness areas, thus ensuring a more uniform drying process.

[0085] The thick areas with larger coating thickness require higher temperatures for effective dehydration due to the long heat conduction path and slow internal moisture diffusion. Therefore, when setting the temperature for drying the shell, priority should be given to the thick areas with larger coating thickness, but the tolerance limit of the thick areas with smaller coating thickness should also be taken into account. Therefore, in this embodiment, when there is a large area and thick area with larger coating thickness on the shell surface, a higher temperature is set, but the heating rate is reduced. While ensuring the drying effect of the thick areas with larger coating thickness, deformation of the thick areas with smaller coating thickness due to rapid drying is prevented.

[0086] Step S3: Outputting a temperature control instruction and performing temperature control according to the current temperature increase and heating rate.

[0087] As the drying temperature gradually increases, adjusting the heating rate helps ensure that the moisture in the shell is fully evaporated. If the heating rate is too fast, moisture may remain in the thickness area of ​​the coating with a larger thickness, resulting in incomplete drying and affecting product quality. Therefore, the greater the temperature increase, the slower the heating rate should be, and the longer the heating time should be, to avoid moisture remaining in the thickness area of ​​the coating with a larger thickness and moisture evaporating too quickly in the thickness area of ​​the coating with a smaller thickness, which may cause the shell to crack. Accordingly, based on the temperature increase at the current moment, the heating rate corresponding to the current moment is obtained, and the heating rate is inversely correlated with the temperature increase. In an exemplary embodiment, the inverse of the value of the temperature increase at the current moment is used as the heating rate corresponding to the current moment.

[0088] A temperature control instruction is obtained from the temperature increase and the heating rate, and the temperature control instruction is output. In one exemplary embodiment, the temperature control instruction at a current moment includes the temperature increase and the heating rate at the current moment. The temperature increase and the heating rate at the current moment are output to a controller. The controller determines the power of a heating device (i.e., an air conditioner) in the air-conditioned room based on the temperature increase and the heating rate at the current moment, controls the heating device to operate at the calculated power, and performs temperature control starting at the current moment such that the heating rate of the air-conditioned room equals the calculated heating rate. Then, starting at the current moment, the temperature in the air-conditioned room gradually rises. When the actual temperature increase in the air-conditioned room relative to the preset initial temperature equals the calculated temperature increase, temperature control is completed.

[0089] Step S4: After the temperature control is completed, the continued heating time is obtained according to the humidity decrease rate of the drying environment during the reference period, the heating rate and the difference in coating thickness between adjacent thickness areas on the shell surface; based on the continued heating time, a continued heating instruction is output to continue temperature control.

[0090] When the temperature increase is reached, that is, after the temperature control is completed, heating is not stopped immediately, but continued for a period of time. This is because thickness areas with different coating thicknesses react differently to temperature. Thickness areas with smaller coating thicknesses will achieve the desired drying effect in a shorter time, while thickness areas with larger coating thicknesses require more time to reach the same drying level. In addition, for shells with uneven coating thickness, the required drying time is longer. This is because shells with uneven coating thickness have local areas with larger coating thicknesses, and heat takes longer to penetrate, resulting in the overall drying speed being limited by the thickest part. In contrast, shells with uniform coating thickness have consistent heat transfer and water evaporation rates, which can accurately match the optimal drying curve, that is, the drying time can be accurately determined. Therefore, in actual production, shells with uneven coating thickness can reserve a longer buffer time of 15%-20% to ensure the drying effect.

[0091] Then, after the temperature control is completed, a continue heating instruction is output. The continue heating time corresponding to the continue heating instruction is obtained by the humidity drop rate of the drying environment in the reference period at the current moment, the heating rate obtained in step S3, and the coating thickness difference between adjacent thickness areas on the shell surface.

[0092] The humidity drop rate represents the decrease in humidity in the drying environment during the reference period at the current moment. In one exemplary embodiment, since the tangent slopes at various moments in the humidity fitting curve corresponding to the current reference period may be positive, negative, or 0, the tangent slopes with negative values ​​are obtained, and the negative tangent slopes are defined as the target tangent slopes. Then, each target tangent slope in the humidity fitting curve is obtained, and the absolute value of each target tangent slope is converted to a positive number. Finally, the average of the absolute values ​​of each target tangent slope is calculated, and this average represents the humidity drop rate for the current reference period. The smaller the average, the less significant the humidity drop during the current reference period. A smaller humidity drop rate indicates a slower decrease in humidity within the air-conditioned room, indicating that moisture has not fully evaporated during the current reference period. In this case, a longer continued heating time is required to ensure sufficient evaporation of moisture within the housing. Therefore, the continued heating time is inversely correlated with the humidity drop rate.

[0093] The coating thickness difference between adjacent thickness regions on the shell surface represents the overall coating thickness difference between adjacent thickness regions on the shell surface. In an exemplary embodiment, Figure 4 As shown in Figure 2, a specific process for obtaining the coating thickness difference is given:

[0094] Step S4-1: Obtain the absolute value of the coating thickness difference between the first thickness region and each adjacent thickness region, and calculate the average value to obtain the coating thickness sub-difference of the first thickness region.

[0095] Taking the first thickness region as an example, obtain the other thickness regions adjacent to the first thickness region. Adjacent means that there are no other thickness regions between the two thickness regions. Then, obtain the absolute value of the difference in coating thickness between the first thickness region and the thickness regions adjacent to it, obtain the absolute value of the coating thickness difference corresponding to each adjacent thickness region, and then calculate the average value of these coating thickness difference absolute values, and the result obtained is the coating thickness sub-difference of the first thickness region. The larger the coating thickness sub-difference of the first thickness region, the greater the difference in thermal conductivity between the first thickness region and the surrounding thickness regions. Thickness regions with smaller coating thickness absorb heat faster, resulting in faster heating speed, while thickness regions with larger coating thickness have slower thermal conduction and take longer to transfer heat. This difference will cause significant differences in the drying rates of thickness regions with different coating thicknesses.

[0096] Step S4-2: Calculate the average value of the coating thickness sub-differences in each thickness area as the coating thickness difference.

[0097] Using step S4-1, the coating thickness sub-differences for each thickness region are obtained, and then the average of these sub-differences is calculated. The result is the coating thickness difference between adjacent thickness regions on the shell surface. A larger coating thickness difference indicates a greater overall difference in coating thickness between adjacent thickness regions on the shell surface. To ensure temperature uniformity across the shell, a longer continued heating time is required to compensate for differences in heat conduction rates, ensure effective drying of different coating thicknesses, prevent local overheating or insufficient heating, and ensure sufficient evaporation of moisture within the shell. Therefore, the continued heating time is positively correlated with the coating thickness difference.

[0098] Accordingly, if Figure 5 As shown, a specific process for obtaining the continued heating time is given below:

[0099] Step S4-3: Obtaining a heating time coefficient according to the humidity drop rate, the heating rate, and the coating thickness difference.

[0100] The smaller the heating rate at the current moment, the slower the heating process is, the more time it takes, the better the drying effect is, and the shorter the subsequent heating time required is. The continued heating time is positively correlated with the heating rate.

[0101] Therefore, the heating time coefficient is positively correlated with the coating thickness difference and the heating rate, and is inversely correlated with the humidity drop rate. In an exemplary embodiment, a specific quantitative method for the heating time coefficient is given as follows:

[0102] ;

[0103] in, is the heating time coefficient, is the heating rate at the current moment, is the humidity drop rate, is the difference in coating thickness. is a normalization function, such as the sigmoid function.

[0104] Step S4-4: Obtain the continued heating time according to the heating time coefficient and the preset heating time.

[0105] This embodiment presets a heating time, which is determined by the implementer based on experience, such as a pre-set maximum allowable heating time. The product of the heating time coefficient and the preset heating time is calculated, and this product is the desired continued heating time. Therefore, in areas with thicker coatings, the temperature may rise more slowly. Extending the heating time helps ensure uniform heating in all areas and avoids excessive temperature differences between the inside and outside of the shell due to premature heating cessation, which could affect the drying effect.

[0106] Based on the continued heating time output corresponding to the continued heating instruction, the heating equipment is continued to be controlled to operate for continuous heating according to the power of the heating equipment obtained in step S3. The timing starts when the temperature control is completed, and the heating is ended when the continued heating time arrives.

[0107] In this embodiment, during the shell drying process, heat may be concentrated in certain thickness areas, resulting in uneven temperatures. This can cause some thickness areas of the shell to be over-dried, while others may not be fully dried. Hot air circulation, however, helps distribute heat more evenly across the entire shell surface, especially in areas with complex thicknesses, such as those with thin coatings or irregular shapes. Hot air effectively prevents localized overheating or overcooling, ensuring uniformity throughout the shell production process.

[0108] Hot air circulation is achieved through a hot air circulation system within the air-conditioned room, such as a fan or blower. This system circulates hot air throughout the drying environment, accelerating heat distribution. This air flow ensures that the required temperature is achieved in each thickness zone. For cooler thickness zones, hot air circulation helps accelerate the heating process; for hotter thickness zones, it helps dissipate heat and prevent localized overheating.

[0109] Accordingly, in an exemplary embodiment, in this embodiment, the hot air circulation system is controlled to operate while continuing to heat, wherein a hot air circulation system wind speed instruction is generated and output to control the hot air circulation system to operate while continuing to heat.

[0110] The wind speed instruction of the hot air circulation system is obtained by the obtained continuous heating time and the humidity level of the drying environment in the reference period. The humidity level of the drying environment in the reference period at the current moment is the average humidity value of each moment in the reference period at the current moment.

[0111] The core of the hot air circulation system wind speed instruction is the target wind speed of the hot air circulation system. In an exemplary embodiment, Figure 6 As shown, a specific process of obtaining the target wind speed is given as follows:

[0112] Step S4-5: Obtain the wind speed increase coefficient according to the continued heating time and the humidity level.

[0113] A longer heating time means slower heat transfer and a slower temperature rise. Therefore, the hot air circulation system requires less wind speed to accelerate the heating process, and the lower the target wind speed. The wind speed increase coefficient is inversely correlated with the heating time. A higher humidity level indicates higher humidity within the current reference period, requiring higher wind speeds to quickly remove evaporated water vapor from the housing and prevent humidity accumulation that affects the drying effect. Therefore, the wind speed increase coefficient is positively correlated with the humidity level.

[0114] In an exemplary embodiment, a specific quantification method of the wind speed increase coefficient is given as follows:

[0115] ;

[0116] in, represents the wind speed increase coefficient, Represents the normalized average humidity at the current moment, Indicates the continued heating time, exp is an exponential function with the natural constant e as the base, which is used to Perform negative correlation normalization.

[0117] Step S4-6: Obtain the target wind speed according to the wind speed increase coefficient and the preset wind speed.

[0118] In this embodiment, a preset wind speed is used, which can be the maximum allowable wind speed of the fan in the hot air circulation system. The wind speed increase coefficient is multiplied by the preset wind speed to obtain the target wind speed of the hot air circulation system. It should be understood that the preset wind speed is a reference value, set to the maximum allowable wind speed. The wind speed increase coefficient is between 0 and 1, and a larger wind speed increase coefficient results in a higher target wind speed.

[0119] The hot air circulation system's operating power is generated based on the target wind speed, and its operation is controlled based on this operating power. This evenly distributes the hot air throughout the air-conditioned room, creating a circulating flow. During the circulation process, the hot air continuously exchanges heat with the housing, removing evaporated moisture from the housing's surface and interior, and then exhausting it outdoors or undergoing dehumidification before being recycled. It should be understood that when the continued heating time arrives, i.e., when continued heating ends, the hot air circulation system is controlled to shut down.

[0120] This embodiment also provides an intelligent control system for the drying temperature of a shell making line, comprising: a memory and a processor; the memory is connected to the processor, and the memory is used to store program instructions; the processor is used to implement the steps in the above-mentioned embodiment of the intelligent control method for the drying temperature of a shell making line when the program instructions are executed.

[0121] In an exemplary embodiment, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-mentioned embodiment of the method for intelligently controlling the drying temperature of a shell making line.

[0122] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0123] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A method for intelligently controlling the drying temperature of a shell making line, characterized in that: include: Obtaining environmental characteristic values ​​for each thickness region at the current moment based on the humidity level and humidity fluctuation of the drying environment during the reference period at the current moment, and the coating thickness of each thickness region on the shell surface; Based on the environmental characteristic values ​​of each thickness region at the current moment, the temperature increase at the current moment is obtained; Outputting a temperature control instruction to perform temperature control based on the current temperature increase and heating rate; the heating rate is inversely correlated with the temperature increase; After the temperature control is completed, the continued heating time is obtained according to the humidity drop rate of the drying environment during the reference period, the heating rate, and the difference in coating thickness between adjacent thickness areas on the shell surface; Based on the continued heating time, a continued heating instruction is output to continue temperature control.

2. The method for intelligently controlling the drying temperature of a shell making line according to claim 1, wherein: The process of obtaining the humidity fluctuation includes: According to the tangent slope of the humidity fitting curve at each moment, the information entropy of the tangent slope is obtained; the humidity fitting curve is obtained by fitting the humidity values ​​at each moment in the reference time period; Obtaining the number of extreme value points in the humidity value at each moment within the reference period; Obtaining a humidity fluctuation factor according to the information entropy and the number of extreme points; wherein the humidity fluctuation factor is positively correlated with both the information entropy and the number of extreme points; The humidity level is the average humidity value of the humidity values ​​at each moment in the reference time period.

3. The method for intelligently controlling the drying temperature of a shell making line according to claim 2, wherein: The process of obtaining the environmental characteristic value includes: According to the humidity average value and humidity fluctuation factor at the current moment, and the coating thickness of each thickness area, the environmental characteristic value of each thickness area is obtained; the environmental characteristic value is positively correlated with the humidity average value, humidity fluctuation factor and coating thickness of each thickness area.

4. The method for intelligently controlling the drying temperature of a shell making line according to claim 1, wherein: The process of obtaining the temperature increase includes: Calculate the average value of the environmental characteristic values ​​of each thickness area at the current moment; Obtaining a temperature increase coefficient, where the temperature increase coefficient is positively correlated with an average value of the environmental characteristic value; The temperature increase is obtained according to the temperature increase coefficient and a preset initial temperature.

5. The method for intelligently controlling the drying temperature of a shell making line according to claim 1, wherein: The humidity drop rate is the average of the absolute values ​​of the target tangent slopes in the humidity fitting curve; the target tangent slope is the tangent slope with a negative index value; the humidity fitting curve is obtained by fitting the humidity values ​​at each moment in the reference period.

6. The method for intelligently controlling the drying temperature of a shell making line according to claim 1, wherein: The process of obtaining the coating thickness difference includes: Obtaining the absolute value of the coating thickness difference between a first thickness region and each adjacent thickness region, and calculating the average value to obtain the coating thickness sub-difference of the first thickness region; the first thickness region is any thickness region; The average value of the coating thickness sub-differences in each thickness region is calculated as the coating thickness difference.

7. The method for intelligently controlling the drying temperature of a shell making line according to claim 1, wherein: The process of obtaining the continued heating time includes: A heating time coefficient is obtained according to the humidity drop rate, the heating rate, and the coating thickness difference; the heating time coefficient is positively correlated with the coating thickness difference and the heating rate, and is inversely correlated with the humidity drop rate; The continued heating time is obtained according to the heating time coefficient and the preset heating time.

8. The method for intelligently controlling the drying temperature of a shell making line according to claim 1, wherein: The method for intelligently controlling the drying temperature of a shell making line further includes: Outputting a hot air circulation system wind speed instruction for controlling the operation of the hot air circulation system while continuing heating, the hot air circulation system wind speed instruction is obtained by the continued heating time and the humidity level of the drying environment within the reference time period.

9. The method for intelligently controlling the drying temperature of a shell making line according to claim 8, wherein: The process of obtaining the target wind speed corresponding to the wind speed instruction of the hot air circulation system includes: Obtaining a wind speed increase coefficient according to the continued heating time and the humidity level; the wind speed increase coefficient is positively correlated with the humidity level and inversely correlated with the continued heating time; The target wind speed is obtained according to the wind speed increase coefficient and the preset wind speed.

10. An intelligent drying temperature control system for a shell making line, characterized in that: include: Memory and processor; The memory is connected to the processor; The memory is used to store program instructions; The processor is configured to implement the intelligent control method for drying temperature of a shell making line according to any one of claims 1 to 9 when the program instructions are executed.

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