Convection system optimization method and device, equipment, storage medium and program product

Abstract

The invention relates to a convection system optimization method and device, equipment, a storage medium and a program product. The method comprises the steps that ideal temperature difference intervals corresponding to all assembly parameters of the balance air pipe are determined, assembly parameter intervals of all the assembly parameters are determined according to the ideal temperature difference intervals corresponding to all the assembly parameters, and the ideal temperature difference intervals comprise ideal temperature differences of different surface temperatures after a heated part is heated; determining a plurality of component parameter sets based on each component parameter interval, wherein each component parameter set comprises parameter values in each component parameter interval; and a target component parameter set is screened out from the multiple component parameter sets, and all parameter values in the target component parameter set are used for conducting transformation treatment on the balance gas pipe to be transformed so that the transformed balance gas pipe can be matched with the attribute of the heated part. By adopting the method, the optimization and transformation efficiency of the convection system can be improved.

Description

Technical Field

[0001] The present application relates to the field of glass technology, and in particular to a convection system optimization method, device, equipment, storage medium and program product. Background Art

[0002] When the heated parts are heated in the heating furnace, the upper and lower surfaces of the heated parts often have high temperatures, which leads to a low yield rate of the heated parts. For example, in the process of forming coated glass, in the heating furnace, the temperature of the coated side of the glass is lower than that of the non-coated side due to the reflection of heat radiation by the metal and metal oxide contained in the coating layer, which will cause the edge of the glass to warp and cause burns to the glass. As the number of layers increases, the temperature difference between the upper and lower surfaces of the glass becomes more and more serious.

[0003] At present, a convection system is introduced to heat the surface of the heated part to eliminate the temperature difference between the upper and lower surfaces of the heated part. The implementation principle is to use mesh jet technology to eject hot air through the outlet on the balance air pipe in the convection system. The ejected hot air will form a forced flow, and the heat is transferred to the upper surface of the heated part which is at a relatively low temperature through the air flow. By adjusting the intensity of the upper convection to keep it consistent with the heating of the lower surface, symmetrical and uniform heating of the heated part can be achieved.

[0004] However, with the diversification of heated parts, such as the reduction or increase in the number of coated glass layers and the diversification of coating forms, the original convection system heating cannot meet the production needs of the heated parts, so the convection system needs to be optimized and modified.

[0005] In traditional technology, the optimization and transformation of the convection system is carried out through manual experience and then verified through on-site measurements, which has the problem of low optimization and transformation efficiency. Summary of the invention

[0006] Based on this, it is necessary to provide a convection system optimization method, device, equipment, storage medium and program product that can improve the efficiency of convection system optimization and transformation in response to the above technical problems.

[0007] In a first aspect, the present application provides a convection system optimization method, the method comprising: determining an ideal temperature difference interval corresponding to each component parameter of a balancing air pipe, and determining a component parameter interval of each component parameter based on the ideal temperature difference interval corresponding to each component parameter, wherein the ideal temperature difference interval includes an ideal temperature difference between different surface temperatures after heating of the heated component; determining multiple component parameter sets based on each component parameter interval, each component parameter set including parameter values ​​in each component parameter interval; screening out a target component parameter set from the multiple component parameter sets, and each parameter value in the target component parameter set is used to perform a modification processing on the balancing air pipe to be modified, so that the modified balancing air pipe is adapted to the properties of the heated component.

[0008] In one of the embodiments, the ideal temperature difference range corresponding to each component parameter of the balanced air pipe is determined, including: for each component parameter, using a pre-built balanced air pipe simulation model, multiple parameter values ​​in a preset component parameter range of the component parameter are processed to obtain the ideal temperature difference range corresponding to the component parameter.

[0009] In one of the embodiments, a target component parameter set is screened out from multiple component parameter sets, including: for each component parameter set, processing each parameter value in the component parameter set through a pre-built balanced air pipe simulation model to obtain the temperature difference of different surface temperatures after the heated part is heated; based on the temperature difference corresponding to each component parameter set, screening out the target component parameter set from the multiple component parameter sets.

[0010] In one of the embodiments, based on the temperature difference corresponding to each component parameter set, a target component parameter set is screened out from multiple component parameter sets, including: deleting component parameter sets whose corresponding temperature differences are less than or equal to a preset temperature difference threshold from the multiple component parameter sets, and determining multiple candidate component parameter sets from the remaining multiple component parameter sets; for each candidate component parameter set, determining the degree of modification of the balancing air pipe to be modified corresponding to the candidate component parameter set based on the candidate parameter set and the current parameter values ​​of each component parameter of the balancing air pipe to be modified; and taking the candidate component parameter set corresponding to the minimum modification degree as the target component parameter set.

[0011] In one of the embodiments, multiple candidate component parameter sets are determined from the remaining multiple component parameter sets, including: for each of the remaining component parameter sets, each parameter value in the component parameter set is processed by a pre-built balanced air pipe simulation model to obtain a gas pressure value to which the heated component is subjected; from the remaining multiple component parameter sets, component parameter sets whose corresponding gas pressure values ​​are less than a preset pressure threshold are deleted to obtain multiple candidate component parameter sets.

[0012] In one embodiment, the parameters of the components of the balanced air pipe include at least one of the following:

[0013] Balance the spacing between air pipe outlets;

[0014] Balance the size of the air pipe outlet;

[0015] Balance the distance between the air outlet of the air pipe and the heated part;

[0016] Balance the gas pressure at the air pipe inlet.

[0017] In the second aspect, the present application also provides a convection system optimization device, which includes: a first determination module, used to determine the ideal temperature difference range corresponding to each component parameter of the balancing air pipe, and determine the component parameter range of each component parameter based on the ideal temperature difference range corresponding to each component parameter, wherein the ideal temperature difference range includes the ideal temperature difference of different surface temperatures after the heated part is heated; a second determination module, used to determine multiple component parameter sets based on each component parameter range, each component parameter set includes parameter values ​​in each component parameter range; a screening module, used to screen out a target component parameter set from multiple component parameter sets, and each parameter value in the target component parameter set is used to perform a modification process on the balancing air pipe to be modified, so that the modified balancing air pipe is adapted to the properties of the heated part.

[0018] In one of the embodiments, the first determination module is specifically used to process multiple parameter values ​​in a preset component parameter range of the component parameters through a pre-built balanced air pipe simulation model for each component parameter to obtain an ideal temperature difference range corresponding to the component parameter.

[0019] In one of the embodiments, the screening module is specifically used to process each parameter value in the component parameter set through a pre-built balanced air pipe simulation model for each component parameter set, so as to obtain the temperature difference of different surface temperatures after the heated part is heated; based on the temperature difference corresponding to each component parameter set, a target component parameter set is screened out from multiple component parameter sets.

[0020] In one of the embodiments, the screening module is specifically used to delete, from multiple component parameter sets, component parameter sets whose corresponding temperature differences are less than or equal to a preset temperature difference threshold, and determine multiple candidate component parameter sets from the remaining multiple component parameter sets; for each candidate component parameter set, determine the degree of modification of the balancing air pipe to be modified corresponding to the candidate component parameter set based on the candidate parameter set and the current parameter values ​​of each component parameter of the balancing air pipe to be modified; and use the candidate component parameter set corresponding to the minimum modification degree as the target component parameter set.

[0021] In one of the embodiments, the screening module is specifically used to process each parameter value in the component parameter set through a pre-built balanced air pipe simulation model for each remaining component parameter set to obtain the gas pressure value to which the heated component is subjected; and to delete the component parameter sets whose corresponding gas pressure values ​​are less than a preset pressure threshold from the remaining multiple component parameter sets to obtain multiple candidate component parameter sets.

[0022] In one embodiment, the parameters of the components of the balanced air pipe include at least one of the following:

[0023] Balance the spacing between air pipe outlets;

[0024] Balance the size of the air pipe outlet;

[0025] Balance the distance between the air outlet of the air pipe and the heated part;

[0026] Balance the gas pressure at the air pipe inlet.

[0027] In a third aspect, the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the methods described in the first aspect when executing the computer program.

[0028] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of any one of the methods described in the first aspect are implemented.

[0029] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods described in the first aspect.

[0030] The above-mentioned convection system optimization method, device, equipment, storage medium and program product determine the ideal temperature difference interval corresponding to each component parameter of the balanced air pipe, and determine the component parameter interval of each component parameter according to the ideal temperature difference interval corresponding to each component parameter, wherein the ideal temperature difference interval includes the ideal temperature difference of different surface temperatures after the heated part is heated, and then determine multiple component parameter sets based on each component parameter interval, each component parameter set includes the parameter value in each component parameter interval. Then, a target component parameter set is selected from the multiple component parameter sets, and each parameter value in the target component parameter set is used to modify the balanced air pipe to be modified so that the modified balanced air pipe is adapted to the properties of the heated part. Compared with optimizing and modifying the convection system based on manual experience, the method of determining the parameter values ​​of each component parameter used to modify the balanced air pipe to be modified in advance through computer equipment can improve the efficiency of optimizing and modifying the convection system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 A physical diagram of a balanced airway in the related art;

[0033] Figure 2 A diagram showing an application environment of a convection system optimization method in one embodiment;

[0034] Figure 3 A schematic diagram of a flow chart of a convection system optimization method in one embodiment;

[0035] Figure 4 A schematic flow chart of a convection system optimization method according to another embodiment;

[0036] Figure 5 is a structural block diagram of a convection system optimization device in one embodiment;

[0037] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0039] When the heated parts are heated in the heating furnace, the upper and lower surfaces of the heated parts often have high temperatures, which leads to a low yield rate of the heated parts. For example, in the process of forming coated glass, in the heating furnace, the temperature of the coated side of the glass is lower than that of the non-coated side due to the reflection of heat radiation by the metal and metal oxide contained in the coating layer, which will cause the edge of the glass to warp and cause burns to the glass. As the number of layers increases, the temperature difference between the upper and lower surfaces of the glass becomes more and more serious.

[0040] At present, the surface of the heated part is heated by introducing a convection system to eliminate the temperature difference between the upper and lower surfaces of the heated part. The implementation principle is to eject the hot air through the outlet on the balance air pipe in the convection system with mesh jet technology. The ejected hot air will form a forced flow, and the heat is transferred to the upper surface of the heated part which is relatively low in temperature through the air flow. By adjusting the intensity of the upper convection to keep it consistent with the heating of the lower surface, the heated part can be heated symmetrically and evenly. Among them, the balance air pipe is as follows: Figure 1 As shown, it includes an air outlet 101 and an air inlet 102 .

[0041] However, with the diversification of heated parts, such as the reduction or increase in the number of coated glass layers and the diversification of coating forms, the original convection system heating cannot meet the production needs of the heated parts, so the convection system needs to be optimized and modified.

[0042] In traditional technology, the optimization and transformation of the convection system is verified by field measurement after the actual transformation based on manual experience. However, this method of actual transformation based on manual experience may result in the convection system after the transformation being unable to eliminate the temperature difference, or the convection system after the transformation producing wind spots on the heated parts, thereby causing the convection system to be actually transformed again. Therefore, the traditional technology has the problem of low optimization and transformation efficiency.

[0043] The convection system optimization method provided in the embodiment of the present application can be applied to Figure 2 In the application environment shown. Among them, the terminal 202 communicates with the server 204 through the network. The data storage system can store the data that the server 204 needs to process. The data storage system can be integrated on the server 204, or it can be placed on the cloud or other servers. The convection system optimization method can be executed on the terminal 202, or it can be implemented through the interaction between the terminal 202 and the server 204. Taking the execution on the terminal 202 as an example, the terminal 202 determines the ideal temperature difference interval corresponding to each component parameter of the balanced air pipe, and determines the component parameter interval of each component parameter according to the ideal temperature difference interval corresponding to each component parameter, wherein the ideal temperature difference interval includes the ideal temperature difference of different surface temperatures after the heated part is heated; based on each component parameter interval, multiple component parameter sets are determined, and each component parameter set includes parameter values ​​in each component parameter interval; a target component parameter set is selected from the multiple component parameter sets, and each parameter value in the target component parameter set is used to transform the balanced air pipe to be transformed, so that the transformed balanced air pipe is adapted to the properties of the heated part.

[0044] The terminal 202 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, portable wearable devices, and aircraft. IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc.

[0045] The server 204 may be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal 202 and the server 204 may be directly or indirectly connected via wired or wireless communication, which is not limited in this application.

[0046] In one embodiment, Figure 3 As shown, a convection system optimization method is provided, and the method is applied to a computer device (the computer device can be specifically Figure 2 The terminal 202 or the server 204 in the example is used as an example to illustrate, and the following steps are included:

[0047] Step 301, determine the ideal temperature difference range corresponding to each component parameter of the balanced air pipe, and determine the component parameter range of each component parameter according to the ideal temperature difference range corresponding to each component parameter, wherein the ideal temperature difference range includes the ideal temperature difference of different surface temperatures after being heated by the heating element.

[0048] The heated component may be coated glass, coated plastic, coated ceramic, etc. The heated component includes a first surface and a second surface opposite to each other, that is, the upper and lower surfaces of the heated component. The different surface temperatures of the heated component after being heated refer to the temperature of the first surface and the temperature of the second surface after being heated.

[0049] The balancing gas pipe has one or more component parameters, such as at least one of the spacing between the balancing gas pipe outlets, the size of the balancing gas pipe outlets, the spacing between the balancing gas pipe outlets and the heated component, and the gas pressure at the balancing gas pipe inlet, etc. The size of the balancing gas pipe outlets may be the diameter of the balancing gas pipe outlets.

[0050] The ideal temperature difference between different surface temperatures of the heated component after heating refers to the temperature difference between the first surface and the second surface of the heated component after heating when only the parameter value of one component parameter of the balancing gas pipe is changed. Correspondingly, the ideal temperature difference range corresponding to the component parameter refers to the temperature difference range between the first surface and the second surface of the heated component after heating, which is obtained by changing multiple parameter values ​​of one component parameter of the balancing gas pipe.

[0051] Optionally, determining the ideal temperature difference range corresponding to each component parameter of the balanced air pipe can be achieved through a pre-trained balanced air pipe component parameter model, or can be achieved through a pre-built balanced air pipe simulation model. The balanced air pipe component parameter model is a machine learning model, and the balanced air pipe simulation model is a finite element model.

[0052] Take the example of determining the ideal temperature difference range corresponding to each component parameter of the balanced air pipe through the pre-trained balanced air pipe component parameter model. For each component parameter, the preset component parameter range of the component parameter and the membrane layer parameter are input into the pre-trained balanced air pipe component parameter model to obtain the ideal temperature difference range corresponding to the component parameter output by the balanced air pipe component parameter model.

[0053] The preset component parameter interval of the component parameters and the membrane layer parameters are input into a pre-trained balanced air pipe component parameter model. Specifically, each parameter value in the preset component parameter interval of the component parameters is sequentially input into the pre-trained balanced air pipe component parameter model to obtain the ideal temperature difference corresponding to each parameter value in the preset component parameter interval sequentially output by the pre-trained balanced air pipe component parameter model, thereby obtaining the ideal temperature difference interval corresponding to the component parameters.

[0054] Taking the use of a pre-built balanced air pipe simulation model to determine the ideal temperature difference interval corresponding to each component parameter of the balanced air pipe as an example. For each component parameter, the pre-built balanced air pipe simulation model is used to process multiple parameter values ​​in the preset component parameter interval of the component parameter to obtain the ideal temperature difference interval corresponding to the component parameter.

[0055] The pre-built balanced airway simulation models are:

[0056] f(t)=f(d1,d2,d3,p)

[0057] Among them, f(t) is the temperature difference of different surface temperatures after the heated part is heated, d1 is the distance between the balance air pipe outlets, d2 is the size of the balance air pipe outlet, d3 is the distance between the balance air pipe outlet and the heated part, and p is the gas pressure at the balance air pipe inlet.

[0058] Through a pre-constructed balanced air pipe simulation model, multiple parameter values ​​in the preset component parameter range of the component parameters are processed. Specifically, the parameter values ​​of the component parameters in the pre-constructed balanced air pipe simulation model are changed multiple times to different parameter values ​​in the preset component parameter range, and the pre-constructed balanced air pipe simulation model is run to obtain the ideal temperature difference output multiple times by the pre-constructed balanced air pipe simulation model, and then the ideal temperature difference range corresponding to the component parameters is obtained.

[0059] In this embodiment, the advantage of using a pre-constructed balanced air pipe simulation model to determine the ideal temperature difference range corresponding to the component parameters of the balanced air pipe is that the balanced air pipe simulation model is easy to obtain because it is constructed by finite elements, which makes the convection system optimization method of the present application easy to implement.

[0060] The preset component parameter ranges of the above-mentioned component parameters include: the preset component parameter range of the spacing between the balanced air pipe outlets is 20mm~50mm; the preset component parameter range of the size of the balanced air pipe outlet is 0.5mm~1.5mm; the preset component parameter range of the spacing between the balanced air pipe outlet and the heated part is 20mm~200mm; the preset component parameter range of the gas pressure of the balanced air pipe inlet is 0.8MPa~1.5MPa.

[0061] According to the ideal temperature difference interval corresponding to each component parameter, the component parameter interval of each component parameter is determined, including: for each component parameter, according to the preset component parameter interval and the ideal temperature difference interval of the component parameter, a relationship curve between the component parameter and the ideal temperature difference of different surface temperatures after heating of the heated part is obtained, that is, the corresponding relationship between each parameter value of the component parameter and each ideal temperature difference is obtained; based on the preset ideal temperature difference range, the component parameter interval of the component parameter is determined from the relationship curve corresponding to the component parameter.

[0062] Step 302: Determine a plurality of component parameter sets based on each component parameter interval, each component parameter set including a parameter value in each component parameter interval.

[0063] Optionally, a parameter value is randomly selected from each component parameter interval multiple times, and the parameter value randomly selected from each component parameter interval each time is used as an element in a component parameter set.

[0064] For example, the four component parameters are the spacing d1 between the balance air pipe outlets, the size d2 of the balance air pipe outlets, the spacing d3 between the balance air pipe outlets and the heated component, and p is the gas pressure at the balance air pipe inlet, and the corresponding component parameter intervals are [24, 31], [0.5, 1.2], [60, 116], and [1, 1.5]. A parameter value is randomly selected from each component parameter interval multiple times, and the component parameter sets obtained are {24, 1, 100, 1.5}, {26, 0.5, 110, 1}, {31, 1.2, 82, 1.2}, and {30, 0.7, 79, 1}.

[0065] Step 303, selecting a target component parameter set from multiple component parameter sets, and each parameter value in the target component parameter set is used to perform modification processing on the balancing air pipe to be modified, so that the modified balancing air pipe is adapted to the properties of the heated component.

[0066] Optionally, for each component parameter set, each parameter value in the component parameter set is processed by a pre-constructed balanced air pipe simulation model to obtain the temperature difference of different surface temperatures after the heated part is heated; based on the temperature difference corresponding to each component parameter set, the component parameter sets whose corresponding temperature differences are less than or equal to a preset temperature difference threshold are deleted from the multiple component parameter sets, and the target component parameter set with the smallest degree of modification for the balanced air pipe to be modified is selected from the remaining multiple component parameter sets.

[0067] For example, based on the component parameter set in the above example, when it is determined that {24, 1, 100, 1.5} is the target component parameter set, the spacing between the balancing air pipe outlets can be modified to 24mm, the size of the balancing air pipe outlets can be modified to 1mm, the spacing between the balancing air pipe outlets and the heated component can be adjusted to 100mm, and the gas pressure at the balancing air pipe inlet can be adjusted to 1.5MPa.

[0068] The above-mentioned convection system optimization method determines the ideal temperature difference interval corresponding to each component parameter of the balanced air pipe, and determines the component parameter interval of each component parameter according to the ideal temperature difference interval corresponding to each component parameter, wherein the ideal temperature difference interval includes the ideal temperature difference of different surface temperatures after the heated part is heated, and then determines multiple component parameter sets based on each component parameter interval, each component parameter set includes the parameter value in each component parameter interval. Then, a target component parameter set is selected from the multiple component parameter sets, and each parameter value in the target component parameter set is used to modify the balanced air pipe to be modified, so that the modified balanced air pipe is adapted to the properties of the heated part. Compared with optimizing and modifying the convection system based on manual experience, the method of determining the parameter values ​​of each component parameter used to modify the balanced air pipe to be modified in advance through computer equipment can improve the efficiency of optimizing and modifying the convection system.

[0069] In one of the embodiments, a target component parameter set is screened out from multiple component parameter sets, including: for each component parameter set, processing each parameter value in the component parameter set through a pre-built balanced air pipe simulation model to obtain the temperature difference of different surface temperatures after the heated part is heated; based on the temperature difference corresponding to each component parameter set, screening out the target component parameter set from the multiple component parameter sets.

[0070] Optionally, for each component parameter set, each parameter value in the component parameter set is processed by a pre-built balanced air duct simulation model to obtain the temperature difference of different surface temperatures after the heated part is heated, including: for each component parameter set, the parameter value of each component parameter in the pre-built balanced air duct simulation model is modified to the parameter value of each component parameter in the component parameter set, the pre-built balanced air duct simulation model is run, the temperature difference output by the pre-built balanced air duct simulation model is obtained, and then the temperature difference corresponding to the component parameter is obtained.

[0071] Based on the temperature differences corresponding to the component parameter sets, a target component parameter set is screened out from the multiple component parameter sets, including: taking the component parameter set with the smallest corresponding temperature difference as the target component parameter set.

[0072] In this embodiment, for each component parameter set, each parameter value in the component parameter set is processed by a pre-constructed balanced air pipe simulation model to obtain the temperature difference of different surface temperatures after the heated part is heated. Then, based on the temperature difference corresponding to each component parameter set, a target component parameter set is screened out from multiple component parameter sets to obtain parameter values ​​of each component parameter that are more in line with the actual transformation.

[0073] In one embodiment, if Figure 4 As shown, another convection system optimization method is provided, which selects a target component parameter set from multiple component parameter sets based on the temperature difference corresponding to each component parameter set, including:

[0074] Step 401 : Delete component parameter sets whose corresponding temperature differences are less than or equal to a preset temperature difference threshold from multiple component parameter sets, and determine multiple candidate component parameter sets from the remaining multiple component parameter sets.

[0075] Optionally, after deleting component parameter sets whose corresponding temperature differences are less than or equal to a preset temperature difference threshold from the multiple component parameter sets, the remaining multiple component parameter sets are used as multiple candidate component parameter sets.

[0076] Step 402, for each candidate component parameter set, according to the candidate parameter set and the current parameter values ​​of each component parameter of the balanced air pipe to be modified, determine the modification degree of the balanced air pipe to be modified corresponding to the candidate component parameter set.

[0077] Step 403: taking the candidate component parameter set corresponding to the minimum modification degree as the target component parameter set.

[0078] Optionally, for each component parameter in each candidate component parameter set, the difference between the parameter value of the component parameter in the candidate parameter set and the current parameter value of the component parameter corresponding to the balancing air pipe to be modified is squared to obtain the square difference corresponding to the component parameter; the square differences corresponding to each component parameter in the candidate component parameter set are summed to obtain the degree of modification of the balancing air pipe to be modified corresponding to the candidate component parameter set. The degree of modification of the balancing air pipe to be modified corresponding to the candidate component parameter sets is compared, and the candidate component parameter set corresponding to the minimum degree of modification is used as the target component parameter set.

[0079] Specifically, the target component parameter set is determined using the following transformation degree calculation formula.

[0080]

[0081] Wherein, D is the degree of modification, d1 is the distance between the balance air pipe outlets, d2 is the size of the balance air pipe outlet, d3 is the distance between the balance air pipe outlet and the heated part, and p is the gas pressure at the balance air pipe inlet. is the distance between the current air outlets of the balance air pipe to be modified, is the current outlet size of the balance air pipe to be modified, is the distance between the current air outlet of the balance air pipe to be modified and the heated component, The gas pressure at the current air inlet of the balanced air pipe to be modified.

[0082] In this embodiment, the candidate component parameter set corresponding to the minimum modification degree is used as the target component parameter set. In this way, the modification degree of the balancing air pipe to be modified can be minimized while the properties of the balancing air pipe to be modified are adapted to the heated component, thereby reducing the modification cost.

[0083] In one of the embodiments, multiple candidate component parameter sets are determined from the remaining multiple component parameter sets, including: for each of the remaining component parameter sets, each parameter value in the component parameter set is processed by a pre-built balanced air pipe simulation model to obtain a gas pressure value to which the heated component is subjected; from the remaining multiple component parameter sets, component parameter sets whose corresponding gas pressure values ​​are less than a preset pressure threshold are deleted to obtain multiple candidate component parameter sets.

[0084] The preset pressure threshold is a critical pressure value that causes wind spots on the surface of the heated component.

[0085] Optionally, by modifying the parameter values ​​of each component parameter in a pre-built balanced air pipe simulation model and running the pre-built balanced air pipe simulation model, not only the temperature difference output by the pre-built balanced air pipe simulation model can be obtained, but also the gas pressure value to which the heated component is subjected, output by the pre-built balanced air pipe simulation model, can be obtained.

[0086] Therefore, for the remaining component parameter sets, the parameter values ​​of the component parameters in the pre-built balanced air pipe simulation model are modified to the parameter values ​​of the component parameters in the remaining component parameter sets, and the pre-built balanced air pipe simulation model is run to obtain the gas pressure value of the heated component output by the pre-built balanced air pipe simulation model, that is, to obtain the gas pressure value corresponding to the remaining component parameter sets. From the remaining multiple component parameter sets, the component parameter sets whose corresponding gas pressure values ​​are less than the preset pressure threshold are deleted to obtain multiple candidate component parameter sets.

[0087] In the present embodiment, multiple candidate component parameter sets are obtained by deleting component parameter sets whose corresponding gas pressure values ​​are less than a preset pressure threshold from the remaining multiple component parameter sets, thereby screening out component parameter sets that may cause wind spots on the heated parts, thereby ensuring that the target component parameter set determined from the multiple candidate component parameter sets can be used as a basis for modifying the balancing air pipe to be modified.

[0088] In one embodiment, another convection system optimization method is provided, the method comprising the following steps:

[0089] S1, for each component parameter of the balanced air pipe, a plurality of parameter values ​​in a preset component parameter range of the component parameter are processed through a pre-built balanced air pipe simulation model to obtain an ideal temperature difference range corresponding to the component parameter. The ideal temperature difference range includes an ideal temperature difference of different surface temperatures after being heated by the heating element.

[0090] S2, for each component parameter, according to the preset component parameter interval and the ideal temperature difference interval of the component parameter, obtain a relationship curve between the component parameter and the ideal temperature difference of different surface temperatures after the heated part is heated; based on the preset ideal temperature difference range, determine the component parameter interval of the component parameter from the relationship curve corresponding to the component parameter.

[0091] S3, determining a plurality of component parameter sets based on each component parameter interval, each component parameter set including a parameter value in each component parameter interval;

[0092] S4, for each component parameter set, each parameter value in the component parameter set is processed by a pre-built balanced air pipe simulation model to obtain the temperature difference of different surface temperatures after the heated component is heated.

[0093] S5, deleting, from the plurality of component parameter sets, component parameter sets whose corresponding temperature differences are less than or equal to a preset temperature difference threshold.

[0094] S6. For the remaining component parameter sets, each parameter value in the component parameter set is processed by a pre-built balanced gas pipe simulation model to obtain the gas pressure value to which the heated component is subjected; from the remaining multiple component parameter sets, the component parameter sets whose corresponding gas pressure values ​​are less than a preset pressure threshold are deleted to obtain multiple candidate component parameter sets.

[0095] S7. For each candidate component parameter set, determine the degree of modification of the balancing air pipe to be modified corresponding to the candidate component parameter set based on the candidate parameter set and the current parameter values ​​of each component parameter of the balancing air pipe to be modified; and take the candidate component parameter set corresponding to the minimum modification degree as the target component parameter set.

[0096] The parameters of each component of the balanced air pipe include at least one of the following:

[0097] Balance the spacing between air pipe outlets;

[0098] Balance the size of the air pipe outlet;

[0099] Balance the distance between the air outlet of the air pipe and the heated part;

[0100] Balance the gas pressure at the air pipe inlet.

[0101] Taking the heated part as triple silver coated glass as an example, the temperature difference between the upper and lower surfaces caused by it is about 70℃, and the length of the balancing air pipe needs to be no less than 3m. Based on the above convection system optimization method, the coefficient of the relationship curve between the spacing between the balancing air pipe outlets and the ideal temperature difference of different surface temperatures of the triple silver coated glass after heating is calculated to be 1.26, the coefficient of the relationship curve between the size of the balancing air pipe outlet and the ideal temperature difference of different surface temperatures of the triple silver coated glass after heating is 0.67, the coefficient of the relationship curve between the spacing between the balancing air pipe outlet and the triple silver coated glass and the ideal temperature difference of different surface temperatures of the triple silver coated glass after heating is 0.76, and the coefficient of the relationship curve between the gas pressure of the balancing air pipe inlet and the ideal temperature difference of different surface temperatures of the triple silver coated glass after heating is 1. Finally, it is calculated that the spacing between the balancing air pipe outlets needs to be 30mm, the size of the balancing air pipe outlet needs to be 1mm, the spacing between the balancing air pipe outlet and the heated part needs to be 65mm, and the gas pressure at the balancing air pipe inlet needs to be 1MPa. Moreover, the maximum gas pressure of the balanced air pipe on the local surface of the triple-silver coated glass is 100Pa, which is much smaller than the critical pressure value that causes wind spots.

[0102] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0103] Based on the same inventive concept, the embodiment of the present application also provides a convection system optimization device for implementing the convection system optimization method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more convection system optimization device embodiments provided below can refer to the limitations of the convection system optimization method above, and will not be repeated here.

[0104] In an exemplary embodiment, Figure 5 As shown, a convection system optimization device is provided, and the convection system optimization device 500 includes: a first determination module 501, a second determination module 502 and a screening module 503, wherein:

[0105] The first determination module 501 is used to determine the ideal temperature difference range corresponding to each component parameter of the balanced air pipe, and determine the component parameter range of each component parameter according to the ideal temperature difference range corresponding to each component parameter, wherein the ideal temperature difference range includes the ideal temperature difference of different surface temperatures after being heated by the heating element.

[0106] The second determining module 502 is used to determine a plurality of component parameter sets based on each component parameter interval, each component parameter set including a parameter value in each component parameter interval.

[0107] The screening module 503 is used to screen out a target component parameter set from multiple component parameter sets, and each parameter value in the target component parameter set is used to perform a modification process on the balancing air pipe to be modified so that the modified balancing air pipe is adapted to the properties of the heated component.

[0108] In one embodiment, the first determination module 501 is specifically used to process multiple parameter values ​​in a preset component parameter range of each component parameter through a pre-built balanced air pipe simulation model to obtain an ideal temperature difference range corresponding to the component parameter.

[0109] In one of the embodiments, the screening module 503 is specifically used to process each parameter value in the component parameter set through a pre-built balanced air pipe simulation model for each component parameter set, so as to obtain the temperature difference of different surface temperatures after the heated part is heated; based on the temperature difference corresponding to each component parameter set, a target component parameter set is screened out from multiple component parameter sets.

[0110] In one of the embodiments, the screening module 503 is specifically used to delete the component parameter sets whose corresponding temperature differences are less than or equal to a preset temperature difference threshold from multiple component parameter sets, and determine multiple candidate component parameter sets from the remaining multiple component parameter sets; for each candidate component parameter set, determine the degree of modification of the balancing air pipe to be modified corresponding to the candidate component parameter set based on the candidate parameter set and the current parameter values ​​of each component parameter of the balancing air pipe to be modified; and use the candidate component parameter set corresponding to the minimum modification degree as the target component parameter set.

[0111] In one of the embodiments, the screening module 503 is specifically used to process each parameter value in the component parameter set through a pre-built balanced air pipe simulation model for each remaining component parameter set to obtain the gas pressure value to which the heated component is subjected; and to delete the component parameter sets whose corresponding gas pressure values ​​are less than a preset pressure threshold from the remaining multiple component parameter sets to obtain multiple candidate component parameter sets.

[0112] In one embodiment, the parameters of the components of the balanced air pipe include at least one of the following:

[0113] Balance the spacing between air pipe outlets;

[0114] Balance the size of the air pipe outlet;

[0115] Balance the distance between the air outlet of the air pipe and the heated part;

[0116] Balance the gas pressure at the air pipe inlet.

[0117] Each module in the above-mentioned convection system optimization device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0118] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. 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 input / output interface of the computer device is used to exchange information between the processor and an external device. 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 implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a convection system optimization method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0119] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0120] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the method embodiments described above are implemented.

[0121] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the above method embodiments are implemented.

[0122] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps of any one of the method embodiments described above.

[0123] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0124] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0125] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A convection system optimization method, characterized in that: The method comprises: Determine the ideal temperature difference interval corresponding to each component parameter of the balanced air pipe, and determine the component parameter interval of each component parameter according to the ideal temperature difference interval corresponding to each component parameter, wherein the ideal temperature difference interval includes the ideal temperature difference of different surface temperatures after being heated by the heating element; Determine a plurality of component parameter sets based on each of the component parameter intervals, each of the component parameter sets including parameter values ​​in each of the component parameter intervals; A target component parameter set is screened out from the plurality of component parameter sets, and each parameter value in the target component parameter set is used to perform a modification process on the balancing air pipe to be modified so that the modified balancing air pipe is adapted to the properties of the heated component.

2. The method according to claim 1, characterized in that The step of determining the ideal temperature difference range corresponding to the parameters of each component of the balanced air pipe includes: For each of the component parameters, a pre-constructed balanced air pipe simulation model is used to process multiple parameter values ​​in a preset component parameter range of the component parameter to obtain an ideal temperature difference range corresponding to the component parameter.

3. The method according to claim 1, characterized in that The step of screening out a target component parameter set from the plurality of component parameter sets includes: For each of the component parameter sets, each parameter value in the component parameter set is processed by a pre-built balanced air pipe simulation model to obtain a temperature difference of different surface temperatures of the heated component after heating; Based on the temperature difference corresponding to each of the component parameter sets, a target component parameter set is screened out from the plurality of component parameter sets.

4. The method according to claim 3, characterized in that The step of selecting a target component parameter set from a plurality of component parameter sets based on the temperature difference corresponding to each component parameter set includes: From the plurality of component parameter sets, delete the component parameter sets whose corresponding temperature difference is less than or equal to the preset temperature difference threshold, and determine a plurality of candidate component parameter sets from the remaining plurality of component parameter sets; For each of the candidate component parameter sets, determining the degree of modification of the balancing air pipe to be modified corresponding to the candidate component parameter set according to the candidate parameter set and the current parameter values ​​of each of the component parameters of the balancing air pipe to be modified; The candidate component parameter set corresponding to the minimum modification degree is used as the target component parameter set.

5. The method according to claim 4, characterized in that The determining a plurality of candidate component parameter sets from the remaining plurality of component parameter sets comprises: For each of the remaining component parameter sets, each parameter value in the component parameter set is processed by a pre-built balanced gas pipe simulation model to obtain a gas pressure value borne by the heated component; From the remaining multiple component parameter sets, component parameter sets corresponding to the gas pressure values ​​that are less than the preset pressure threshold are deleted to obtain multiple candidate component parameter sets.

6. The method according to any one of claims 1 to 5, characterized in that: The parameters of the components of the balance air pipe include at least one of the following: Balance the spacing between air pipe outlets; Balance the size of the air pipe outlet; The distance between the air outlet of the balance air pipe and the heated part; Balance the gas pressure at the air pipe inlet.

7. A convection system optimization device, characterized in that: The device comprises: A first determination module is used to determine an ideal temperature difference interval corresponding to each component parameter of the balanced air pipe, and determine a component parameter interval of each component parameter according to the ideal temperature difference interval corresponding to each component parameter, wherein the ideal temperature difference interval includes an ideal temperature difference of different surface temperatures after being heated by the heating element; A second determining module, configured to determine a plurality of component parameter sets based on each of the component parameter intervals, each of the component parameter sets including parameter values ​​in each of the component parameter intervals; The screening module is used to screen out a target component parameter set from the multiple component parameter sets, and each parameter value in the target component parameter set is used to perform a modification process on the balancing air pipe to be modified so that the modified balancing air pipe is adapted to the properties of the heated component.

8. 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 method according to any one of claims 1 to 6 are implemented.

9. 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 method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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