Glass heating control method and device based on upper and lower symmetric temperature prediction

Abstract

The application relates to the technical field of glass heating control, and discloses a glass heating control method and device based on up-down symmetric temperature prediction, which comprises the following steps: determining a plurality of to-be-predicted points from a to-be-predicted region of glass corresponding to a target region according to temperature parameters of all collection points in the target region of the glass; predicting the temperature parameters of all the to-be-predicted points based on target parameters of the glass; and determining heating control parameters of the glass according to the temperature parameters of all the collection points and the temperature parameters of all the to-be-predicted points, so as to heat the glass. In this way, the temperature parameters of the corresponding region are predicted through the temperature parameters of a single region, the heating control process of the glass is realized based on the temperature parameters of two regions, the temperature collection efficiency and accuracy of the glass are improved, and the heating control accuracy of the glass is improved. Meanwhile, the structure of the heating equipment is also simplified.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of glass heating control, and in particular to a glass heating control method and device based on up-down symmetric temperature prediction. BACKGROUND

[0002] In the glass processing industry, tempered glass is widely used due to its excellent properties such as high strength, impact resistance, and wind pressure resistance. In order to produce high-quality tempered glass, the uniformity of the heating process is crucial. Currently, horizontal roller-type heating equipment has become one of the mainstream production equipment for tempered glass. It sends the glass into the heating furnace through the roller and heats the glass using the upper and lower heating control areas. However, in the existing heating control method, temperature collection of multiple points is required for both the upper and lower areas of the glass. This temperature collection process not only depends on the collection point settings of the heating equipment, causing the complexity of the heating equipment structure to increase, but also easily leads to data collection lag, making it difficult to improve the heating temperature collection efficiency and accuracy of the glass, thereby affecting the heating control process of the glass. Therefore, it is particularly important to provide a method that can improve the accuracy of the glass heating control. SUMMARY

[0003] The present application provides a glass heating control method and device based on up-down symmetric temperature prediction, which does not require simultaneous temperature collection of the upper and lower areas of the glass, thereby improving the temperature collection efficiency and accuracy of the glass, and further improving the accuracy of the glass heating control. At the same time, it is also beneficial to simplify the structure of the heating equipment.

[0004] To solve the above technical problems, the present application discloses a glass heating control method based on up-down symmetric temperature prediction, which comprises:

[0005] When the glass is on the roller in the heating furnace, the temperature parameters of multiple collection points in the target area of the glass are obtained; the target area includes the upper area of the glass or the lower area of the glass;

[0006] According to the temperature parameters of all the collection points in the target area, a plurality of prediction points that match are determined from the prediction area of the glass corresponding to the target area; the prediction area of the glass corresponding to the target area is the lower area of the glass symmetrical to the upper area of the glass, or the upper area of the glass symmetrical to the lower area of the glass;

[0007] The target parameters of the glass are determined, and the temperature parameters of all the prediction points are predicted based on the target parameters; the target parameters include glass thickness parameters and glass material parameters;

[0008] According to the temperature parameters of all the collection points and the temperature parameters of all the to-be-predicted points, a heating control parameter of the glass is determined, and the heating furnace is controlled to perform a heating operation on the glass according to the heating control parameter.

[0009] As an optional implementation, in the first aspect of the present application, the step of determining the matched to-be-predicted points from the to-be-predicted region of the glass corresponding to the target region according to the temperature parameters of all the collection points in the target region comprises:

[0010] According to the temperature parameters of all the collection points in the target region, a region temperature variation parameter corresponding to the target region is determined;

[0011] According to the region temperature variation parameter, a plurality of target reference points are determined from all the collection points;

[0012] A symmetry relationship between the target region and the to-be-predicted region of the glass corresponding to the target region is determined; the symmetry relationship comprises a horizontal symmetry relationship or a central symmetry relationship;

[0013] According to the symmetry relationship and all the target reference points, the matched to-be-predicted points are determined from the to-be-predicted region.

[0014] As an optional implementation, in the first aspect of the present application, the step of determining the matched to-be-predicted points from the to-be-predicted region according to the symmetry relationship and all the target reference points comprises:

[0015] According to the symmetry relationship and all the target reference points, a target to-be-predicted point corresponding to each target reference point is determined from the to-be-predicted region;

[0016] A first surface morphology parameter of the target region and a second surface morphology parameter of the to-be-predicted region are obtained, and whether the surface morphology between the target region and the to-be-predicted region is matched is determined according to the first surface morphology parameter and the second surface morphology parameter;

[0017] When it is determined that the surface morphology between the target region and the to-be-predicted region is matched, all the target to-be-predicted points are determined as the to-be-predicted points in the to-be-predicted region;

[0018] When it is determined that the surface morphology between the target region and the to-be-predicted region is not matched, an additional prediction point is determined from the to-be-predicted region according to the first surface morphology parameter and the second surface morphology parameter, and the additional prediction point and all the target to-be-predicted points are determined as the to-be-predicted points in the to-be-predicted region.

[0019] As an optional implementation, in the first aspect of the present application, the predicting the temperature parameters of all the to-be-predicted points based on the target parameters comprises:

[0020] determining a relative heat absorption parameter of the to-be-predicted region;

[0021] determining a thermal characteristic parameter of the glass according to the glass thickness parameter and the glass material parameter; the thermal characteristic parameter comprises at least one of a heat transfer coefficient, a heat transfer path parameter and a heat capacity coefficient;

[0022] determining a temperature prediction influence degree corresponding to the surface morphology of the to-be-predicted region according to the first surface morphology parameter and the second surface morphology parameter, and predicting the temperature parameters of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter and the temperature prediction influence degree.

[0023] As an optional implementation, in the first aspect of the present application, the predicting the temperature parameters of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter and the temperature prediction influence degree comprises:

[0024] judging whether the temperature prediction influence degree is greater than a preset influence degree threshold;

[0025] when it is judged that the temperature prediction influence degree is less than or equal to the influence degree threshold, predicting the temperature parameters of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter and the temperature parameters of all the target reference points;

[0026] when it is judged that the temperature prediction influence degree is greater than the influence degree threshold, predicting the temperature parameters of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter, the temperature parameters of all the target reference points, the first surface morphology parameter and the second surface morphology parameter.

[0027] As an optional implementation, in the first aspect of the present application, the determining the relative heat absorption parameter of the to-be-predicted region comprises:

[0028] determining a first distance parameter between the target region and a preset first heating device in the heating furnace and a current heating parameter of the first heating device, and determining a heat absorption parameter of the target region according to the first distance parameter and the current heating parameter of the first heating device;

[0029] determining a second distance parameter between the to-be-predicted region and a preset second heating device in the heating furnace and a current heating parameter of the second heating device, and determining a relative heat absorption parameter of the to-be-predicted region according to the second distance parameter, the current heating parameter of the second heating device and a heat absorption parameter of the target region.

[0030] As an optional implementation, in the first aspect of the present application, before the relative heat absorption parameter of the to-be-predicted region is determined according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target region, the method further comprises:

[0031] determining a first film coating parameter of the target region and a second film coating parameter of the to-be-predicted region; the first film coating parameter comprises at least one of a film coating material parameter, a film coating thickness parameter, a film coating method parameter and a film and substrate combination method parameter of the target region, and the second film coating parameter comprises at least one of a film coating material parameter, a film coating thickness parameter, a film coating method parameter and a film and substrate combination method parameter of the to-be-predicted region;

[0032] determining a film radiation parameter of the target region according to the first film coating parameter, and determining a film radiation parameter of the to-be-predicted region according to the second film coating parameter;

[0033] analyzing a film radiation difference between the target region and the to-be-predicted region according to the film radiation parameter of the target region and the film radiation parameter of the to-be-predicted region;

[0034] wherein the relative heat absorption parameter of the to-be-predicted region is determined according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target region, which comprises:

[0035] the relative heat absorption parameter of the to-be-predicted region is determined according to the film radiation difference, the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target region.

[0036] The second aspect of the present application discloses a glass heating control device based on up-down symmetric temperature prediction, which comprises:

[0037] an acquisition module, configured to acquire temperature parameters of a plurality of collection points in a target region of the glass when the glass is on a roller table in a heating furnace; the target region comprises an upper region of the glass or a lower region of the glass;

[0038] The first determining module is configured to determine a plurality of to-be-predicted points in a to-be-predicted region of the glass corresponding to the target region according to the temperature parameters of all the collection points in the target region; the to-be-predicted region of the glass corresponding to the target region is a lower region of the glass symmetrical to an upper region of the glass, or is the upper region of the glass symmetrical to the lower region of the glass.

[0039] The second determining module is configured to determine a target parameter of the glass; the target parameter includes a glass thickness parameter and a glass material parameter.

[0040] The prediction module is configured to predict the temperature parameters of all the to-be-predicted points based on the target parameter.

[0041] The second determining module is further configured to determine a heating control parameter of the glass according to the temperature parameters of all the collection points and the temperature parameters of all the to-be-predicted points.

[0042] The control module is configured to control the heating furnace to perform a heating operation on the glass according to the heating control parameter.

[0043] As an optional implementation, in the second aspect of the present application, the manner in which the first determining module determines the plurality of to-be-predicted points in the to-be-predicted region of the glass corresponding to the target region according to the temperature parameters of all the collection points in the target region specifically includes:

[0044] determining a region temperature variation parameter corresponding to the target region according to the temperature parameters of all the collection points in the target region;

[0045] determining a plurality of target reference points from all the collection points according to the region temperature variation parameter;

[0046] determining a symmetrical relationship between the target region and the to-be-predicted region of the glass corresponding to the target region; the symmetrical relationship includes a horizontal symmetrical relationship or a central symmetrical relationship;

[0047] determining the plurality of to-be-predicted points in the to-be-predicted region according to the symmetrical relationship and all the target reference points.

[0048] As an optional implementation, in the second aspect of the present application, the manner in which the first determining module determines the plurality of to-be-predicted points in the to-be-predicted region according to the symmetrical relationship and all the target reference points specifically includes:

[0049] determining a target to-be-predicted point corresponding to each target reference point in the to-be-predicted region according to the symmetrical relationship and all the target reference points.

[0050] obtaining a first surface morphology parameter of the target region and a second surface morphology parameter of the to-be-predicted region, and determining whether the surface morphology between the target region and the to-be-predicted region matches according to the first surface morphology parameter and the second surface morphology parameter;

[0051] when it is determined that the surface morphology between the target region and the to-be-predicted region matches, determining all the target to-be-predicted points as a plurality of to-be-predicted points in the to-be-predicted region;

[0052] when it is determined that the surface morphology between the target region and the to-be-predicted region does not match, determining an additional prediction point from the to-be-predicted region according to the first surface morphology parameter and the second surface morphology parameter, and determining the additional prediction point and all the target to-be-predicted points as a plurality of to-be-predicted points in the to-be-predicted region.

[0053] As an optional implementation, in the second aspect, the manner in which the prediction module predicts the temperature parameters of all the to-be-predicted points based on the target parameters specifically includes:

[0054] determining a relative heat absorption parameter of the to-be-predicted region;

[0055] determining a thermal characteristic parameter of the glass according to the glass thickness parameter and the glass material parameter; the thermal characteristic parameter includes at least one of a heat transfer coefficient, a heat transfer path parameter, and a heat capacity coefficient;

[0056] determining a temperature prediction influence degree corresponding to the surface morphology of the to-be-predicted region according to the first surface morphology parameter and the second surface morphology parameter, and predicting the temperature parameters of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter, and the temperature prediction influence degree.

[0057] As an optional implementation, in the second aspect, the manner in which the prediction module predicts the temperature parameters of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter, and the temperature prediction influence degree specifically includes:

[0058] determining whether the temperature prediction influence degree is greater than a preset influence degree threshold;

[0059] when it is determined that the temperature prediction influence degree is less than or equal to the influence degree threshold, predicting the temperature parameters of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter, and the temperature parameters of all the target reference points;

[0060] When it is judged that the temperature prediction influence degree is greater than the influence degree threshold, the temperature parameters of all the to-be-predicted points are predicted according to the relative heat absorption parameter, the thermal characteristic parameter, the temperature parameters of all the target reference points, the first surface morphology parameter and the second surface morphology parameter.

[0061] As an optional implementation, in the second aspect, the prediction module determines the relative heat absorption parameter of the to-be-predicted region in the following manner:

[0062] determining a first distance parameter between the target region and a first heating device preset in the heating furnace and a current heating parameter of the first heating device, and determining the heat absorption parameter of the target region according to the first distance parameter and the current heating parameter of the first heating device;

[0063] determining a second distance parameter between the to-be-predicted region and a second heating device preset in the heating furnace and a current heating parameter of the second heating device, and determining the relative heat absorption parameter of the to-be-predicted region according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target region.

[0064] As an optional implementation, in the second aspect, the prediction module determines the relative heat absorption parameter of the to-be-predicted region in the following manner:

[0065] determining a first film coating parameter of the target region and a second film coating parameter of the to-be-predicted region before determining the relative heat absorption parameter of the to-be-predicted region according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target region; the first film coating parameter comprises at least one of a film coating material parameter, a film coating thickness parameter, a film coating manner parameter and a film and substrate combination manner parameter of the target region, and the second film coating parameter comprises at least one of a film coating material parameter, a film coating thickness parameter, a film coating manner parameter and a film and substrate combination manner parameter of the to-be-predicted region;

[0066] determining a film radiation parameter of the target region according to the first film coating parameter, and determining a film radiation parameter of the to-be-predicted region according to the second film coating parameter;

[0067] analyzing a film radiation difference between the target region and the to-be-predicted region according to the film radiation parameter of the target region and the film radiation parameter of the to-be-predicted region;

[0068] The prediction module determines the relative heat absorption parameter of the to-be-predicted area according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target area.

[0069] The relative heat absorption parameter of the to-be-predicted area is determined according to the film radiation difference, the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target area.

[0070] The third aspect of the present application discloses another glass heating control device based on up-down symmetric temperature prediction, which comprises:

[0071] A memory storing executable program codes;

[0072] A processor coupled with the memory;

[0073] The processor invokes the executable program codes stored in the memory to execute the glass heating control method based on up-down symmetric temperature prediction disclosed in the first aspect of the present application.

[0074] The fourth aspect of the present application discloses a computer storage medium storing computer instructions, which are invoked to execute the glass heating control method based on up-down symmetric temperature prediction disclosed in the first aspect of the present application.

[0075] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0076] In the embodiments of the present application, a plurality of to-be-predicted points are determined from a to-be-predicted area of the glass corresponding to the target area according to the temperature parameters of all the collection points in the target area of the glass; the temperature parameters of all the to-be-predicted points are predicted based on the target parameters of the glass; and the heating control parameters of the glass are determined according to the temperature parameters of all the collection points and the temperature parameters of all the to-be-predicted points, so as to heat the glass. In this way, the temperature parameters of the corresponding area are predicted through the temperature parameters of a single area, and the heating control process of the glass is realized based on the temperature parameters of two areas, without the need to simultaneously collect the temperature of the upper and lower areas of the glass, thereby improving the temperature collection efficiency and accuracy of the glass, and further improving the heating control accuracy of the glass. Meanwhile, it is also conducive to simplifying the structure of the heating equipment. BRIEF DESCRIPTION OF DRAWINGS

[0077] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort.

[0078] Figure 1 is a flowchart of a glass heating control method based on upper and lower symmetric temperature prediction according to an embodiment of the present application;

[0079] Figure 2 is a flowchart of another glass heating control method based on upper and lower symmetric temperature prediction according to an embodiment of the present application;

[0080] Figure 3 is a structural diagram of a glass heating control device based on upper and lower symmetric temperature prediction according to an embodiment of the present application;

[0081] Figure 4 is a structural diagram of another glass heating control device based on upper and lower symmetric temperature prediction according to an embodiment of the present application. DETAILED DESCRIPTION

[0082] In order to make the personnel in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of the present application.

[0083] The terms "first", "second", and the like in the specification of the present application and the above-mentioned drawings are used to distinguish different objects, and are not used to describe a particular order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product, or end including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product, or end.

[0084] In this document, the term "embodiment" means that the specific features, structures, or characteristics described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily mean the same embodiment, nor is it independent or alternative to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0085] The application discloses a glass heating control method and device based on up-down symmetric temperature prediction.

[0086] Embodiment one

[0087] Please refer to Figure 1 , Figure 1 is a flowchart of a glass heating control method based on up-down symmetric temperature prediction according to an embodiment of the application. Optionally, the method can be realized by a glass heating control device, which can be integrated in a heating furnace for glass heating, or a local server or a cloud server for processing the glass heating control method, and the application does not limit the embodiment. Figure 1 As shown in the figure, the glass heating control method based on up-down symmetric temperature prediction can include the following operations:

[0088] 101. When the glass is on a roller bed in a heating furnace, the temperature parameters of multiple collection points in a target area of the glass are acquired.

[0089] In the embodiment of the application, the target area includes an upper area of the glass or a lower area of the glass, that is, for the glass placed on the roller bed of the heating furnace, the temperature parameters of multiple collection points in the upper area of the glass parallel to the roller bed and away from the roller bed are acquired, or the temperature parameters of multiple collection points in the lower area of the glass parallel to the roller bed and towards the roller bed are acquired.

[0090] Optionally, the determination of the target area of the glass (that is, the determination of the temperature parameters of multiple collection points in the upper area or the lower area of the glass) can be based on one or more of the defect parameters of the upper area and the lower area of the glass, the historical heating conditions of the upper area and the lower area of the glass by the heating furnace, the cooling control parameters of the cooling equipment, and the like, and the application does not limit the embodiment; and the temperature parameters of multiple collection points in the target area can be collected by a temperature collection device associated with the target area in the heating furnace, and meanwhile, the thermocouple associated with the target area in the heating furnace can be further used for deviation correction.

[0091] 102. According to the temperature parameters of all collection points in the target area, multiple to-be-predicted points matched in a to-be-predicted area of the glass corresponding to the target area are determined.

[0092] In the embodiment of the present application, the to-be-predicted region of the glass corresponding to the target region is the lower region of the glass symmetrical to the upper region of the glass, or the upper region of the glass symmetrical to the lower region of the glass, that is, when the target region is the upper region of the glass, the to-be-predicted region for which the temperature prediction needs to be subsequently performed is the lower region of the glass symmetrical to the upper region, and when the target region is the lower region of the glass, the to-be-predicted region for which the temperature prediction needs to be subsequently performed is the upper region of the glass symmetrical to the lower region.

[0093] It should be noted that the temperature parameters of the corresponding region are predicted by the temperature parameters of the single region that has been collected, which is beneficial to reducing the number of temperature collection devices required by the traditional heating furnace (the traditional heating furnace needs to collect the temperature parameters of the upper and lower regions of the glass, and needs to construct temperature collection devices for the upper and lower regions of the glass), so that the structure of the heating furnace can be simplified.

[0094] 103. Determine a target parameter of the glass, and predict the temperature parameters of all the to-be-predicted points based on the target parameter.

[0095] In the embodiment of the present application, the target parameter includes a glass thickness parameter and a glass material parameter (such as a density parameter, a chemical composition parameter, a processing mode parameter, and the like of the glass).

[0096] 104. Determine a heating control parameter of the glass according to the temperature parameters of all the collection points and the temperature parameters of all the to-be-predicted points, and control the heating furnace to perform a heating operation on the glass according to the heating control parameter.

[0097] In the embodiment of the present application, the heating control parameter of the glass is determined based on the temperature parameters of all the collection points in the target region that have been collected and the temperature parameters of all the to-be-predicted points in the to-be-predicted region that have been predicted, so that the heating control process of the glass is realized. Optionally, the heating control parameter can include one or more of a heating power control parameter, a heating temperature control parameter, a heating position control parameter, a roller movement control parameter, and the like.

[0098] It can be seen that by implementing the embodiment of the present application, the temperature parameters of the corresponding region can be predicted by the temperature parameters of the single region, so that the heating control process of the glass is realized based on the temperature parameters of two regions, without simultaneously collecting the temperature parameters of the upper and lower regions of the glass, thereby improving the temperature collection efficiency and accuracy of the glass, and further improving the heating control accuracy of the glass. Meanwhile, it is also beneficial to simplify the structure of the glass heating equipment.

[0099] Embodiment Two

[0100] Please refer to Figure 2 , Figure 2is a flowchart of another glass heating control method based on up-down symmetric temperature prediction disclosed by the embodiments of the present application. Optionally, the method can be implemented by a glass heating control device, which can be integrated in a heating furnace for glass heating, or a local server or a cloud server for processing the glass heating control method, etc., which is not limited by the embodiments of the present application. As shown in Figure 2 the glass heating control method based on up-down symmetric temperature prediction can include the following operations:

[0101] 201. When the glass is on the roller bed in the heating furnace, the temperature parameters of the plurality of collection points in the target region of the glass are obtained.

[0102] 202. The region temperature variation parameter corresponding to the target region is determined according to the temperature parameters of all collection points in the target region.

[0103] In the embodiments of the present application, the region temperature variation parameter corresponding to the target region can be understood as a temperature gradient map corresponding to the target region.

[0104] 203. The plurality of target reference points are determined from all collection points according to the region temperature variation parameter.

[0105] In the embodiments of the present application, further, the plurality of target reference points are determined from all collection points according to the region temperature variation parameter, including:

[0106] According to the region temperature variation parameter and the preset region temperature division gradient parameter, the region division operation is performed on the target region to obtain a plurality of sub-regions corresponding to the target region; each sub-region has a plurality of corresponding collection points;

[0107] According to the temperature parameters of all collection points corresponding to each sub-region, the temperature variation fluctuation analysis is performed on each sub-region to obtain the temperature analysis result of each sub-region;

[0108] According to the temperature analysis result of each sub-region, a plurality of reference points are determined from all collection points corresponding to each sub-region, and all reference points corresponding to all sub-regions are determined as all target reference points.

[0109] For example, the target region is divided into multiple sub-regions according to a regional temperature gradient of 5℃, and then the temperature fluctuation in each sub-region is analyzed according to the temperature parameters of all the collection points corresponding to each sub-region, so that a relatively small number of reference points can be determined in the sub-region with a small temperature fluctuation, and a relatively large number of reference points can be determined in the sub-region with a large temperature fluctuation, so as to determine all the target reference points required for temperature prediction. In this way, the accuracy of temperature prediction of the to-be-predicted region can be ensured, and the amount of data required for temperature prediction can be reduced, and the prediction efficiency can be improved.

[0110] 204. Determine the symmetry relationship between the target region and the to-be-predicted region of the corresponding glass.

[0111] In the embodiment of the present application, the symmetry relationship includes horizontal symmetry relationship or central symmetry relationship. For example, when the glass is a cuboid, the symmetry relationship between the target region and the to-be-predicted region includes horizontal symmetry relationship. When the horizontal cross section of the glass is a polygon and the vertical cross section is a parallelogram, the symmetry relationship between the target region and the to-be-predicted region includes central symmetry relationship.

[0112] 205. Determine a plurality of to-be-predicted points from the to-be-predicted region according to the symmetry relationship and all the target reference points.

[0113] In the embodiment of the present application, at least one target to-be-predicted point obtained by symmetrically converting each target reference point is included in all the to-be-predicted points, and the symmetrically converting includes horizontal symmetrically converting or central symmetrically converting.

[0114] 206. Determine the target parameter of the glass, and predict the temperature parameters of all the to-be-predicted points based on the target parameter.

[0115] 207. Determine the heating control parameter of the glass according to the temperature parameters of all the collection points and the temperature parameters of all the to-be-predicted points, and control the heating furnace to heat the glass according to the heating control parameter.

[0116] In the embodiment of the present application, the other descriptions of steps 201, 206 and 207 can refer to the detailed descriptions of steps 101, 103 and 104 in the first embodiment, and the embodiment of the present application will not be repeated.

[0117] It can be seen that the embodiment of the present application can determine the region temperature variation parameter corresponding to the target region according to the temperature parameters of all the acquisition points in the target region, and then determine a plurality of target reference points from all the acquisition points, so as to determine a plurality of to-be-predicted points in the to-be-predicted region according to all the target reference points and the symmetry relationship between the target region and the to-be-predicted region. In this way, the determination reliability and accuracy of the to-be-predicted points in the to-be-predicted region can be improved, and the temperature prediction reliability, accuracy and efficiency of the to-be-predicted region can be improved, so that the glass can be heated and controlled quickly and accurately.

[0118] In an optional embodiment, the step of determining a plurality of matched to-be-predicted points in the to-be-predicted region according to the symmetry relationship and all the target reference points in step 205 comprises:

[0119] determining a target to-be-predicted point corresponding to each target reference point in the to-be-predicted region according to the symmetry relationship and all the target reference points;

[0120] obtaining a first surface morphology parameter of the target region and a second surface morphology parameter of the to-be-predicted region, and determining whether the surface morphology between the target region and the to-be-predicted region is matched according to the first surface morphology parameter and the second surface morphology parameter;

[0121] when it is determined that the surface morphology between the target region and the to-be-predicted region is matched, determining all the target to-be-predicted points as a plurality of to-be-predicted points in the to-be-predicted region;

[0122] when it is determined that the surface morphology between the target region and the to-be-predicted region is not matched, determining an additional prediction point in the to-be-predicted region according to the first surface morphology parameter and the second surface morphology parameter, and determining the additional prediction point and all the target to-be-predicted points as a plurality of to-be-predicted points in the to-be-predicted region.

[0123] In this optional embodiment, optionally, the first surface morphology parameter can include a surface defect parameter and / or a surface concave-convex condition of the target region, and the second surface morphology parameter can include a surface defect parameter and / or a surface concave-convex condition of the to-be-predicted region. For example, when there is a concave region in the to-be-predicted region compared with the target region, that is, the surface morphology between the target region and the to-be-predicted region is not matched, at this time, an additional prediction point can be determined in the to-be-predicted region for the concave region, so as to additionally predict the temperature parameter of the additional prediction point in the to-be-predicted region which can not be matched with the target region.

[0124] It can be seen that the optional embodiment can further combine the first surface morphology parameters of the target region and the second surface morphology parameters of the to-be-predicted region to analyze all the to-be-predicted points required by the to-be-predicted region, so that the analysis reliability and accuracy of the to-be-predicted points of the to-be-predicted region can be improved, and the temperature prediction reliability and accuracy of the to-be-predicted region can be further improved, so that the determination reliability and accuracy of the subsequent heating control parameters of the glass can be improved.

[0125] In another optional embodiment, the temperature parameters of all the to-be-predicted points are predicted based on the target parameters in the step 206, including:

[0126] determining the relative heat absorption parameters of the to-be-predicted region;

[0127] determining the thermal characteristic parameters of the glass according to the glass thickness parameters and the glass material parameters;

[0128] determining the temperature prediction influence degree corresponding to the surface morphology of the to-be-predicted region according to the first surface morphology parameters and the second surface morphology parameters, and predicting the temperature parameters of all the to-be-predicted points according to the relative heat absorption parameters, the thermal characteristic parameters and the temperature prediction influence degree.

[0129] Further, as an optional implementation, the temperature parameters of all the to-be-predicted points are predicted according to the relative heat absorption parameters, the thermal characteristic parameters and the temperature prediction influence degree, including:

[0130] judging whether the temperature prediction influence degree is greater than a preset influence degree threshold;

[0131] when it is judged that the temperature prediction influence degree is less than or equal to the influence degree threshold, predicting the temperature parameters of all the to-be-predicted points according to the relative heat absorption parameters, the thermal characteristic parameters and the temperature parameters of all the target reference points;

[0132] when it is judged that the temperature prediction influence degree is greater than the influence degree threshold, predicting the temperature parameters of all the to-be-predicted points according to the relative heat absorption parameters, the thermal characteristic parameters, the temperature parameters of all the target reference points, the first surface morphology parameters and the second surface morphology parameters.

[0133] In the optional embodiment, i.e. in the process of temperature prediction of the to-be-predicted region, the temperature parameters of all the to-be-predicted points in the to-be-predicted region are predicted by the relative heat absorption parameter of the to-be-predicted region and the thermal characteristic parameter of the glass (the thermal characteristic parameter is associated with the heat transfer condition and the heat capacity condition between the upper region and the lower region), and can be further combined with the surface morphology difference condition between the target region and the to-be-predicted region (if the surface morphology difference condition between the two is large, such as the to-be-predicted region has a large concave surface compared with the target region, at this time, it can be determined that the temperature prediction influence degree is greater than the influence degree threshold; if the surface morphology of the two is very similar, at this time, it can be determined that the temperature prediction influence degree is less than or equal to the influence degree threshold).

[0134] Optionally, the thermal characteristic parameter includes at least one of a heat transfer coefficient, a heat transfer path parameter, and a heat capacity coefficient.

[0135] It can be seen that the optional embodiment can predict the temperature parameters of all the to-be-predicted points in the to-be-predicted region according to the relative heat absorption parameter of the to-be-predicted region, the thermal characteristic parameter of the glass, and the temperature prediction influence degree corresponding to the surface morphology of the to-be-predicted region, which can improve the comprehensiveness of temperature prediction and analysis of the to-be-predicted region in the glass heating process, and further improve the prediction reliability and accuracy of the temperature parameters of each to-be-predicted point, so as to improve the determination efficiency and accuracy of the heating control parameters of the glass according to the collected temperature parameters of each collection point and the temperature parameters of each to-be-predicted point, and reduce the occurrence of temperature data collection lag of the glass.

[0136] In yet another optional embodiment, the relative heat absorption parameter of the to-be-predicted region is determined by:

[0137] determining a first distance parameter between the target region and a first heating device preset in the heating furnace and a current heating parameter of the first heating device, and determining the heat absorption parameter of the target region according to the first distance parameter and the current heating parameter of the first heating device;

[0138] determining a second distance parameter between the to-be-predicted region and a second heating device preset in the heating furnace and a current heating parameter of the second heating device, and determining the relative heat absorption parameter of the to-be-predicted region according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region.

[0139] In the optional embodiment, it can be understood that after the heat absorption parameter of the target region is determined according to the first distance parameter between the target region and the first heating device preset in the heating furnace and the current heating parameter of the first heating device, the relative heat absorption parameter of the to-be-predicted region is determined based on the heat absorption parameter of the target region and based on the second distance parameter between the to-be-predicted region and the second heating device and the current heating parameter of the second heating device.

[0140] It can be seen that the optional embodiment can determine the heat absorption parameter of the target region according to the first distance parameter between the target region and the first heating device in the heating furnace and the current heating parameter of the first heating device, and then determine the relative heat absorption parameter of the to-be-predicted region according to the second distance parameter between the to-be-predicted region and the second heating device and the current heating parameter of the second heating device based on the heat absorption parameter of the target region. In this way, the determination reliability and accuracy of the relative heat absorption parameter of the to-be-predicted region can be improved, and the analysis efficiency of the overall heat absorption of the glass can be improved, thereby facilitating the determination accuracy and efficiency of the overall heating temperature of the glass (i.e., the temperature parameters of all collection points and all to-be-predicted points). At the same time, it is also beneficial to simplify the temperature collection structure of the glass heating equipment and reduce the cost required for equipment construction.

[0141] In yet another optional embodiment, before the relative heat absorption parameter of the to-be-predicted region is determined according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region in the above-mentioned step, the method further comprises:

[0142] determining a first film coating parameter of the target region and a second film coating parameter of the to-be-predicted region;

[0143] determining a film radiation parameter of the target region according to the first film coating parameter, and determining a film radiation parameter of the to-be-predicted region according to the second film coating parameter;

[0144] analyzing the film radiation difference between the target region and the to-be-predicted region according to the film radiation parameter of the target region and the film radiation parameter of the to-be-predicted region.

[0145] Further, as an optional implementation, determining the relative heat absorption parameter of the to-be-predicted region according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region comprises:

[0146] determining the relative heat absorption parameter of the to-be-predicted region according to the film radiation difference, the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region.

[0147] In the optional embodiment, the first coating parameter includes at least one of a coating material parameter, a coating thickness parameter, a coating method parameter (i.e. corresponding coating control parameters such as coating temperature, coating speed, coating vacuum degree parameter, etc.), a film and substrate combination method parameter (such as physical vapor deposition, chemical vapor deposition, electroplating, etc.) of the target region, and similarly, the second coating parameter includes at least one of a coating material parameter, a coating thickness parameter, a coating method parameter, a film and substrate combination method parameter of the to-be-predicted region.

[0148] It can be seen that the optional embodiment can further determine the film radiation parameter of the target region according to the first coating parameter of the target region, and determine the film radiation parameter of the to-be-predicted region according to the second coating parameter of the to-be-predicted region, and then determine the film radiation difference between the two regions, and then determine the relative heat absorption parameter of the to-be-predicted region according to the film radiation difference, the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target region. In this way, it is beneficial to improve the determination reliability and accuracy of the relative heat absorption parameter of the to-be-predicted region, and further improve the temperature prediction reliability and accuracy of the to-be-predicted region, thereby improving the heating control accuracy and efficiency of the glass.

[0149] Embodiment three

[0150] Please refer to Figure 3 , Figure 3 is a structure schematic diagram of a glass heating control device based on upper and lower symmetric temperature prediction disclosed by the embodiment of the application. As Figure 3 shown, the glass heating control device based on upper and lower symmetric temperature prediction can include:

[0151] The acquisition module 301 is configured to acquire temperature parameters of a plurality of collection points in a target region of the glass when the glass is on a roller in a heating furnace.

[0152] The first determination module 302 is configured to determine a plurality of to-be-predicted points in a to-be-predicted region of the glass corresponding to the target region according to the temperature parameters of all the collection points in the target region.

[0153] The second determination module 303 is configured to determine a target parameter of the glass; the target parameter includes a glass thickness parameter and a glass material parameter.

[0154] The prediction module 304 is configured to predict temperature parameters of all the to-be-predicted points based on the target parameter.

[0155] The second determination module 303 is further configured to determine a heating control parameter of the glass according to the temperature parameters of all the collection points and the temperature parameters of all the to-be-predicted points.

[0156] The control module 305 is configured to control the heating furnace to heat the glass according to the heating control parameter.

[0157] In the embodiment of the present application, the target region includes an upper region of the glass or a lower region of the glass; and the to-be-predicted region of the glass corresponding to the target region is a lower region of the glass symmetrical to the upper region of the glass or an upper region of the glass symmetrical to the lower region of the glass.

[0158] Optionally, the prediction module 304 and the control module 305 can exist independently or be integrated together.

[0159] It can be seen that, in the embodiment of the present application, Figure 3 The glass heating control device based on the upper-lower symmetrical temperature prediction described above can predict the temperature parameter of the corresponding region by the temperature parameter of a single region, thereby realizing the heating control process of the glass based on the temperature parameters of two regions, without collecting the temperature of the upper and lower regions of the glass at the same time, improving the temperature collection efficiency and accuracy of the glass, and further improving the heating control accuracy of the glass; meanwhile, it is also beneficial to simplify the structure of the glass heating equipment.

[0160] In an optional embodiment, the first determination module 302 determines the matched multiple to-be-predicted points in the to-be-predicted region of the glass corresponding to the target region according to the temperature parameters of all the collection points in the target region in the following manner:

[0161] According to the temperature parameters of all the collection points in the target region, a region temperature variation parameter corresponding to the target region is determined.

[0162] According to the region temperature variation parameter, multiple target reference points are determined from all the collection points.

[0163] A symmetrical relationship between the target region and the to-be-predicted region of the glass corresponding to the target region is determined.

[0164] According to the symmetrical relationship and all the target reference points, the matched multiple to-be-predicted points in the to-be-predicted region are determined.

[0165] In the optional embodiment, the symmetrical relationship includes a horizontal symmetrical relationship or a central symmetrical relationship.

[0166] It can be seen that, in the embodiment of the present application, Figure 3The glass heating control device based on the up-down symmetry temperature prediction can determine the regional temperature variation parameter of the target region according to the temperature parameters of all the collection points in the target region, then determine a plurality of target reference points from all the collection points, and then determine a plurality of to-be-predicted points in the to-be-predicted region according to all the target reference points and the symmetry relationship between the target region and the to-be-predicted region. In this way, the determination reliability and accuracy of the to-be-predicted points in the to-be-predicted region can be improved, and then the temperature prediction reliability, accuracy and efficiency of the to-be-predicted region can be improved, so that the glass can be heated and controlled quickly and accurately.

[0167] In another optional embodiment, the first determination module 302 determines the plurality of matched to-be-predicted points in the to-be-predicted region according to the symmetry relationship and all the target reference points in the following manner:

[0168] determining a target to-be-predicted point corresponding to each target reference point in the to-be-predicted region according to the symmetry relationship and all the target reference points;

[0169] obtaining a first surface morphology parameter of the target region and a second surface morphology parameter of the to-be-predicted region, and determining whether the surface morphology between the target region and the to-be-predicted region is matched according to the first surface morphology parameter and the second surface morphology parameter;

[0170] when it is determined that the surface morphology between the target region and the to-be-predicted region is matched, determining all the target to-be-predicted points as the plurality of to-be-predicted points in the to-be-predicted region;

[0171] when it is determined that the surface morphology between the target region and the to-be-predicted region is not matched, determining an additional prediction point in the to-be-predicted region according to the first surface morphology parameter and the second surface morphology parameter, and determining the additional prediction point and all the target to-be-predicted points as the plurality of to-be-predicted points in the to-be-predicted region.

[0172] It can be seen that the implementation Figure 3 The glass heating control device based on the up-down symmetry temperature prediction can further combine the first surface morphology parameter of the target region and the second surface morphology parameter of the to-be-predicted region to analyze all the to-be-predicted points required by the to-be-predicted region. In this way, the analysis reliability and accuracy of the to-be-predicted points in the to-be-predicted region can be improved, and then the temperature prediction reliability and accuracy of the to-be-predicted region can be further improved, so that the determination reliability and accuracy of the subsequent heating control parameters of the glass can be improved.

[0173] In yet another optional embodiment, the prediction module 304 predicts the temperature parameters of all the to-be-predicted points based on the target parameters in the following manner:

[0174] determining a relative heat absorption parameter of the to-be-predicted region;

[0175] Determine the thermal characteristic parameters of the glass based on the glass thickness parameters and glass material parameters;

[0176] The temperature prediction influence degree corresponding to the surface morphology of the area to be predicted is determined according to the first surface morphology parameter and the second surface morphology parameter, and the temperature parameters of all points to be predicted are predicted according to the relative heat absorption parameter, the thermal characteristic parameter and the temperature prediction influence degree.

[0177] In this optional embodiment, the thermal characteristic parameter includes at least one of a heat transfer coefficient, a heat transfer path parameter, and a heat capacity coefficient.

[0178] Furthermore, as an optional implementation, the prediction module 304 predicts the temperature parameters of all the points to be predicted based on the relative heat absorption parameter, the thermal characteristic parameter, and the temperature prediction influence, specifically by:

[0179] Determine whether the temperature prediction impact is greater than a preset impact threshold;

[0180] When it is determined that the temperature prediction influence is less than or equal to the influence threshold, the temperature parameters of all the points to be predicted are predicted based on the relative heat absorption parameters, the thermal characteristic parameters and the temperature parameters of all the target reference points;

[0181] When it is determined that the temperature prediction influence is greater than the influence threshold, the temperature parameters of all the points to be predicted are predicted based on the relative heat absorption parameter, the thermal characteristic parameter, the temperature parameters of all target reference points, the first surface morphology parameter and the second surface morphology parameter.

[0182] It can be seen that implementation Figure 3 The described glass heating control device based on upper and lower symmetrical temperature prediction can predict the temperature parameters of all points to be predicted in the area to be predicted based on the relative heat absorption parameters of the area to be predicted, the thermal characteristic parameters of the glass, and the temperature prediction influence corresponding to the surface morphology of the area to be predicted. In this way, the comprehensiveness of the temperature prediction analysis of the area to be predicted during the glass heating process can be improved, and the reliability and accuracy of the temperature parameter prediction of each point to be predicted can be improved. Therefore, the efficiency and accuracy of determining the heating control parameters of the glass can be improved based on the collected temperature parameters of each collection point and the temperature parameters of each point to be predicted, thereby reducing the occurrence of lag in the temperature data collection of the glass.

[0183] In another optional embodiment, the prediction module 304 determines the relative heat absorption parameter of the area to be predicted by:

[0184] determine a first distance parameter between the target region and a first heating device preset in the heating furnace and a current heating parameter of the first heating device, and determine a heat absorption parameter of the target region according to the first distance parameter and the current heating parameter of the first heating device;

[0185] determine a second distance parameter between the to-be-predicted region and a second heating device preset in the heating furnace and a current heating parameter of the second heating device, and determine a relative heat absorption parameter of the to-be-predicted region according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region.

[0186] It can be seen that, by implementing the glass heating control device based on the up-down symmetric temperature prediction, Figure 3 The glass heating control device based on the up-down symmetric temperature prediction described above can determine a heat absorption parameter of a target region according to a first distance parameter between the target region and a first heating device in a heating furnace and a current heating parameter of the first heating device, and then determine a relative heat absorption parameter of a to-be-predicted region according to a second distance parameter between the to-be-predicted region and a second heating device and a current heating parameter of the second heating device, with the heat absorption parameter of the target region as a reference. In this way, the determination reliability and accuracy of the relative heat absorption parameter of the to-be-predicted region can be improved, and the analysis efficiency of the overall heat absorption of the glass can be improved, thereby facilitating the determination accuracy and efficiency of the overall heating temperature of the glass (i.e., the temperature parameters of all collection points and all to-be-predicted points). At the same time, it is also beneficial to simplify the temperature collection structure of the glass heating equipment and reduce the cost required for equipment construction.

[0187] In yet another optional embodiment, the prediction module 304 determines the relative heat absorption parameter of the to-be-predicted region in the following manner:

[0188] Before determining the relative heat absorption parameter of the to-be-predicted region according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region, determine a first film coating parameter of the target region and a second film coating parameter of the to-be-predicted region;

[0189] determine a film radiation parameter of the target region according to the first film coating parameter, and determine a film radiation parameter of the to-be-predicted region according to the second film coating parameter;

[0190] analyze the film radiation difference between the target region and the to-be-predicted region according to the film radiation parameter of the target region and the film radiation parameter of the to-be-predicted region;

[0191] The prediction module 304 determines the relative heat absorption parameter of the to-be-predicted region according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region in the following manner:

[0192] According to the film radiation difference, the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region, the relative heat absorption parameter of the to-be-predicted region is determined.

[0193] In the optional embodiment, the first film coating parameter includes at least one of a film coating material parameter, a film coating thickness parameter, a film coating method parameter, and a film and substrate combination method parameter of the target region, and the second film coating parameter includes at least one of a film coating material parameter, a film coating thickness parameter, a film coating method parameter, and a film and substrate combination method parameter of the to-be-predicted region.

[0194] It can be seen that, by implementing the embodiments of the present application, Figure 3 The glass heating control device based on the up-down symmetric temperature prediction described herein can further determine the film radiation parameter of the target region according to the first film coating parameter of the target region, and determine the film radiation parameter of the to-be-predicted region according to the second film coating parameter of the to-be-predicted region, and then determine the film radiation difference between the two regions, so as to determine the relative heat absorption parameter of the to-be-predicted region according to the film radiation difference, the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region. In this way, the determination reliability and accuracy of the relative heat absorption parameter of the to-be-predicted region can be improved, and the temperature prediction reliability and accuracy of the to-be-predicted region can be further improved, thereby improving the heating control accuracy and efficiency of the glass.

[0195] Embodiment four

[0196] Please refer to Figure 4 , Figure 4 is another structure diagram of the glass heating control device based on the up-down symmetric temperature prediction disclosed in the embodiments of the present application. As shown in Figure 4 The glass heating control device based on the up-down symmetric temperature prediction can include:

[0197] a memory 401 storing executable program codes;

[0198] a processor 402 coupled with the memory 401;

[0199] The processor 402 invokes the executable program codes stored in the memory 401 to execute the steps of the glass heating control method based on the up-down symmetric temperature prediction described in the embodiment one or the embodiment two of the present application.

[0200] Embodiment five

[0201] The embodiments of the present application disclose a computer storage medium storing computer instructions, which, when invoked, are used to execute the steps of the glass heating control method based on the up-down symmetric temperature prediction described in the embodiment one or the embodiment two of the present application.

[0202] Embodiment six

[0203] The embodiment of the present application discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to make a computer execute the steps in the glass heating control method based on top-bottom symmetry temperature prediction described in embodiment one or embodiment two.

[0204] The above-described apparatus embodiments are only illustrative, wherein the modules described as separate components can or can not be physically separated, and the components displayed as modules can or can not be physical modules, i.e., can be located in one place or distributed to multiple network modules. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement it without creative labor.

[0205] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be realized by means of software and the necessary general hardware platform, and of course, it can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, and the computer software product can be stored in a computer readable storage medium, including a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a programmable read-only memory (Programmable Read-only Memory, PROM), an erasable programmable read-only memory (Erasable Programmable Read Only Memory, EPROM), a one-time programmable read-only memory (One-time Programmable Read-Only Memory, OTPROM), an electrically erasable programmable read-only memory (Electrically-Erasable Programmable Read-Only Memory, EEPROM), a compact disc read-only memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disk storage, a magnetic disk storage, a magnetic tape storage, or any other computer readable medium that can be used to carry or store data.

[0206] It should be finally pointed out that: the glass heating control method and device based on up-down symmetry temperature prediction disclosed in the embodiments of the present application disclosed only as the preferred embodiments of the present application, only for the description of the technical solutions of the present application, not to limit; although the foregoing embodiments of the present application are described in detail, those skilled in the art should understand; the technical scheme recorded in the foregoing embodiments can be modified, or some technical features can be replaced; and these modifications or replacements do not make the essence of the corresponding technical scheme deviate from the spirit and scope of the technical scheme of the embodiments of the present application.

Claims

1. A glass heating control method based on upper and lower symmetry temperature prediction, characterized by, The method comprises: acquiring temperature parameters of a plurality of collection points in a target region of the glass when the glass is on a roller table in a heating furnace; the target region comprises an upper region of the glass or a lower region of the glass; determining a plurality of to-be-predicted points in a to-be-predicted region of the glass corresponding to the target region according to the temperature parameters of all the collection points in the target region; the to-be-predicted region of the glass corresponding to the target region is a lower region of the glass symmetrical to the upper region of the glass or an upper region of the glass symmetrical to the lower region of the glass; determining a target parameter of the glass and predicting temperature parameters of all the to-be-predicted points based on the target parameter; the target parameter comprises a glass thickness parameter and a glass material parameter; determining a heating control parameter of the glass according to the temperature parameters of all the collection points and the temperature parameters of all the to-be-predicted points and controlling the heating furnace to perform a heating operation on the glass according to the heating control parameter.

2. The glass heating control method based on the up-down symmetric temperature prediction of claim 1, wherein, The determining of the plurality of to-be-predicted points in the to-be-predicted region of the glass corresponding to the target region according to the temperature parameters of all the collection points in the target region comprises: determining a region temperature variation parameter corresponding to the target region according to the temperature parameters of all the collection points in the target region; determining a plurality of target reference points from all the collection points according to the region temperature variation parameter; determining a symmetrical relationship between the target region and the to-be-predicted region of the glass corresponding to the target region; the symmetrical relationship comprises a horizontal symmetrical relationship or a central symmetrical relationship; determining the plurality of to-be-predicted points in the to-be-predicted region according to the symmetrical relationship and all the target reference points.

3. The glass heating control method based on the up-down symmetric temperature prediction of claim 2, wherein, The determining of the plurality of to-be-predicted points in the to-be-predicted region according to the symmetrical relationship and all the target reference points comprises: determining a target to-be-predicted point corresponding to each target reference point in the to-be-predicted region according to the symmetrical relationship and all the target reference points; acquiring a first surface morphology parameter of the target region and a second surface morphology parameter of the to-be-predicted region and determining whether the surface morphology between the target region and the to-be-predicted region is matched according to the first surface morphology parameter and the second surface morphology parameter; when it is determined that the surface morphology between the target region and the to-be-predicted region is matched, determining all the target to-be-predicted points as the plurality of to-be-predicted points in the to-be-predicted region; when it is determined that the surface morphology between the target region and the to-be-predicted region is not matched, determining an additional prediction point in the to-be-predicted region according to the first surface morphology parameter and the second surface morphology parameter and determining the additional prediction point and all the target to-be-predicted points as the plurality of to-be-predicted points in the to-be-predicted region.

4. The glass heating control method based on the up-down symmetric temperature prediction of claim 3, wherein, The predicting of the temperature parameters of all the to-be-predicted points based on the target parameter comprises: determining a relative heat absorption parameter of the to-be-predicted region; determining a thermal characteristic parameter of the glass according to the glass thickness parameter and the glass material parameter; the thermal characteristic parameter comprises at least one of a heat transfer coefficient, a heat transfer path parameter, and a heat capacity coefficient; determining a temperature prediction influence degree corresponding to a surface morphology of the to-be-predicted region according to the first surface morphology parameter and the second surface morphology parameter, and predicting the temperature parameter of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter, and the temperature prediction influence degree.

5. The glass heating control method based on the up-down symmetric temperature prediction of claim 4, wherein, The step of predicting the temperature parameter of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter, and the temperature prediction influence degree comprises: determining whether the temperature prediction influence degree is greater than a preset influence degree threshold value; when it is determined that the temperature prediction influence degree is less than or equal to the influence degree threshold value, predicting the temperature parameter of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter, and the temperature parameter of all the target reference points; when it is determined that the temperature prediction influence degree is greater than the influence degree threshold value, predicting the temperature parameter of all the to-be-predicted points according to the relative heat absorption parameter, the thermal characteristic parameter, the temperature parameter of all the target reference points, the first surface morphology parameter, and the second surface morphology parameter.

6. The glass heating control method based on the up-down symmetric temperature prediction according to claim 4 or 5, characterized in that, The step of determining the relative heat absorption parameter of the to-be-predicted region comprises: determining a first distance parameter between the target region and a preset first heating device in the heating furnace and a current heating parameter of the first heating device, and determining the heat absorption parameter of the target region according to the first distance parameter and the current heating parameter of the first heating device; determining a second distance parameter between the to-be-predicted region and a preset second heating device in the heating furnace and a current heating parameter of the second heating device, and determining the relative heat absorption parameter of the to-be-predicted region according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region.

7. The glass heating control method based on the up-down symmetric temperature prediction of claim 6, wherein, Before the step of determining the relative heat absorption parameter of the to-be-predicted region according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target region, the method further comprises: determining a first film coating parameter of the target region and a second film coating parameter of the to-be-predicted region; the first film coating parameter comprises at least one of a film coating material parameter, a film coating thickness parameter, a film coating mode parameter, and a film and substrate combination mode parameter of the target region, and the second film coating parameter comprises at least one of a film coating material parameter, a film coating thickness parameter, a film coating mode parameter, and a film and substrate combination mode parameter of the to-be-predicted region; determining a film radiation parameter of the target region according to the first film coating parameter, and determining a film radiation parameter of the to-be-predicted region according to the second film coating parameter; analyzing a film radiation difference between the target region and the to-be-predicted region according to the film radiation parameter of the target region and the film radiation parameter of the to-be-predicted region; The determining the relative heat absorption parameter of the to-be-predicted area according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target area comprises: The determining the relative heat absorption parameter of the to-be-predicted area according to the second distance parameter, the current heating parameter of the second heating device, and the heat absorption parameter of the target area comprises:

8. A glass heating control device based on upper and lower symmetric temperature prediction, characterized by, The device comprises: The acquisition module is configured to acquire temperature parameters of a plurality of collection points in a target area of the glass when the glass is on a roller table in a heating furnace; the target area comprises an upper area of the glass or a lower area of the glass; The first determination module is configured to determine a plurality of to-be-predicted points in a to-be-predicted area of the glass corresponding to the target area according to the temperature parameters of all the collection points in the target area; the to-be-predicted area of the glass corresponding to the target area is a lower area of the glass symmetrical to the upper area of the glass, or an upper area of the glass symmetrical to the lower area of the glass; The second determination module is configured to determine a target parameter of the glass; the target parameter comprises a glass thickness parameter and a glass material parameter; The prediction module is configured to predict temperature parameters of all the to-be-predicted points based on the target parameter; The second determination module is further configured to determine a heating control parameter of the glass according to the temperature parameters of all the collection points and the temperature parameters of all the to-be-predicted points; The control module is configured to control the heating furnace to perform a heating operation on the glass according to the heating control parameter.

9. A glass heating control device based on upper and lower symmetric temperature prediction, characterized by, The device comprises: A memory storing executable program codes; A processor coupled with the memory; The processor invokes the executable program codes stored in the memory to execute the glass heating control method based on upper-lower symmetrical temperature prediction according to any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which are invoked to execute the glass heating control method based on upper-lower symmetrical temperature prediction according to any one of claims 1-7.

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