Glass heating control method and device based on up-down symmetrical temperature prediction

Abstract

The invention relates to the technical field of glass heating control, and discloses a glass heating control method and device based on up-down symmetry temperature prediction.The method comprises the steps that according to obtained temperature parameters of all collection points in a target area of glass, a plurality of points to be predicted are determined from a glass area to be predicted corresponding to the target area; predicting temperature parameters of all the to-be-predicted points based on the target parameters of the glass; according to the temperature parameters of all the acquisition points and the temperature parameters of all the to-be-predicted points, determining the heating control parameters of the glass so as to heat the glass, so that the temperature parameter of the corresponding region is predicted through the temperature parameter of the single region, and the heating control process of the glass is realized based on the temperature parameters of the two regions; the temperature of the upper and lower areas of the glass does not need to be collected at the same time, so that the temperature collection efficiency and accuracy of the glass are improved, and the heating control accuracy of the glass is improved; and meanwhile, the structure of heating equipment is simplified.

Description

Technical Field

[0001] The present invention relates to the technical field of glass heating control, and in particular to a glass heating control method and device based on upper and lower symmetrical temperature prediction. Background Art

[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 its heating process is crucial. At present, horizontal roller heating equipment has become one of the mainstream production equipment for tempered glass. It sends the glass into the heating furnace through rollers and uses upper and lower heating control areas to heat the glass. However, in the existing heating control method, it is necessary to collect the temperature of multiple points in the upper and lower areas of the glass at the same time. The temperature collection process of multiple points not only depends on the collection point setting of the heating equipment itself, resulting in an increase in the structural complexity of the heating equipment, but also prone to data collection lags, making it difficult to improve the efficiency and accuracy of the heating temperature collection of the glass, thereby affecting the heating control process of the glass. It can be seen that it is particularly important to provide a method that can improve the accuracy of heating control of glass. Summary of the invention

[0003] The present invention provides a glass heating control method and device based on upper and lower symmetrical temperature prediction, which eliminates the need to simultaneously collect temperatures of the upper and lower regions of the glass, thereby improving the efficiency and accuracy of temperature collection of the glass, and further improving the accuracy of heating control of the glass; at the same time, it is also beneficial to simplify the structure of the heating equipment.

[0004] In order to solve the above technical problems, the first aspect of the present invention discloses a glass heating control method based on upper and lower symmetrical temperature prediction, the method comprising:

[0005] When the glass is on a roller in a heating furnace, temperature parameters of a plurality of acquisition points in a target area of ​​the glass are acquired; the target area includes an upper area of ​​the glass or a lower area of ​​the glass;

[0006] According to the temperature parameters of all the acquisition points in the target area, a plurality of matching points to be predicted are determined from the area to be predicted of the glass corresponding to the target area; the area to be predicted of the glass corresponding to the target area is a lower area of ​​the glass symmetrical to an upper area of ​​the glass, or an upper area of ​​the glass symmetrical to the lower area of ​​the glass;

[0007] Determine the target parameters of the glass, and based on the target parameters, predict the temperature parameters of all the points to be predicted; the target parameters include glass thickness parameters and glass material parameters;

[0008] 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 points to be predicted, and the heating furnace is controlled to perform heating operation on the glass according to the heating control parameters.

[0009] As an optional embodiment, in the first aspect of the present invention, the step of determining a plurality of matching points to be predicted from the area to be predicted of the glass corresponding to the target area according to the temperature parameters of all the acquisition points in the target area comprises:

[0010] Determine a regional temperature change parameter corresponding to the target area according to the temperature parameters of all the acquisition points in the target area;

[0011] Determining a plurality of target reference points from all the acquisition points according to the regional temperature change parameter;

[0012] Determine a symmetric relationship between the target area and the corresponding area of ​​the glass to be predicted; the symmetric relationship includes a horizontal symmetric relationship or a central symmetric relationship;

[0013] According to the symmetric relationship and all the target reference points, a plurality of matching points to be predicted are determined from the area to be predicted.

[0014] As an optional implementation manner, in the first aspect of the present invention, determining a plurality of matching points to be predicted from the area to be predicted based on the symmetric relationship and all the target reference points includes:

[0015] According to the symmetric relationship and all the target reference points, determining a target point to be predicted corresponding to each target reference point from the region to be predicted;

[0016] Acquiring a first surface morphology parameter of the target area and a second surface morphology parameter of the area to be predicted, and judging whether the surface morphologies of the target area and the area to be predicted match according to the first surface morphology parameter and the second surface morphology parameter;

[0017] When it is determined that the surface morphology of the target area matches that of the area to be predicted, all of the target points to be predicted are determined as a plurality of points to be predicted in the area to be predicted;

[0018] When it is determined that the surface morphology between the target area and the area to be predicted does not match, additional prediction points are determined from the area to be predicted based on the first surface morphology parameter and the second surface morphology parameter, and the additional prediction points and all the target points to be predicted are determined as multiple points to be predicted in the area to be predicted.

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

[0020] Determining the relative heat absorption parameter of the area to be predicted;

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

[0022] According to the first surface morphology parameter and the second surface morphology parameter, the temperature prediction influence corresponding to the surface morphology of the area to be predicted is determined, and according to the relative heat absorption parameter, the thermal characteristic parameter and the temperature prediction influence, the temperature parameters of all the points to be predicted are predicted.

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

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

[0025] When it is determined that the temperature prediction influence is less than or equal to the influence threshold, predicting the temperature parameters of all the points to be predicted 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 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 the target reference points, the first surface morphology parameter and the second surface morphology parameter.

[0027] As an optional implementation manner, in the first aspect of the present invention, determining the relative heat absorption parameter of the area to be predicted includes:

[0028] Determine a first distance parameter between the target area 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 area according to the first distance parameter and the current heating parameter of the first heating device;

[0029] Determine a second distance parameter between the area to be predicted 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 area to be predicted based on the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area.

[0030] As an optional embodiment, in the first aspect of the present invention, before determining the relative heat absorption parameter of the area to be predicted according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area, the method further includes:

[0031] Determine a first coating parameter of the target area and a second coating parameter of the area to be predicted; the first coating parameter includes at least one of a coating material parameter, a coating thickness parameter, a coating method parameter, and a film-substrate bonding method parameter of the target area, and the second coating parameter includes at least one of a coating material parameter, a coating thickness parameter, a coating method parameter, and a film-substrate bonding method parameter of the area to be predicted;

[0032] Determine the film radiation parameters of the target area according to the first film coating parameters, and determine the film radiation parameters of the area to be predicted according to the second film coating parameters;

[0033] Analyzing the film radiation difference between the target area and the area to be predicted according to the film radiation parameters of the target area and the film radiation parameters of the area to be predicted;

[0034] Wherein, determining the relative heat absorption parameter of the area to be predicted according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area includes:

[0035] The relative heat absorption parameters of the area to be predicted are determined according to the film radiation difference, the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameters of the target area.

[0036] The second aspect of the present invention discloses a glass heating control device based on upper and lower symmetrical temperature prediction, the device comprising:

[0037] An acquisition module, used for acquiring temperature parameters of a plurality of acquisition points in a target area of ​​the glass when the glass is on a roller in a heating furnace; the target area includes an upper area of ​​the glass or a lower area of ​​the glass;

[0038] A first determination module is used to determine a plurality of matching points to be predicted 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; the to-be-predicted area of ​​the glass corresponding to the target area is a lower area of ​​the glass symmetrical to an upper area of ​​the glass, or an upper area of ​​the glass symmetrical to the lower area of ​​the glass;

[0039] A second determination module is used to determine target parameters of the glass; the target parameters include glass thickness parameters and glass material parameters;

[0040] A prediction module, used for predicting the temperature parameters of all the points to be predicted based on the target parameters;

[0041] The second determination module is further used to determine the heating control parameters of the glass according to the temperature parameters of all the acquisition points and the temperature parameters of all the points to be predicted;

[0042] A control module is used to control the heating furnace to heat the glass according to the heating control parameters.

[0043] As an optional implementation, in the second aspect of the present invention, the first determination module determines a plurality of matching points to be predicted from the to-be-predicted area of ​​the glass corresponding to the target area according to the temperature parameters of all the acquisition points in the target area, specifically including:

[0044] Determine a regional temperature change parameter corresponding to the target area according to the temperature parameters of all the acquisition points in the target area;

[0045] Determining a plurality of target reference points from all the acquisition points according to the regional temperature change parameter;

[0046] Determine a symmetric relationship between the target area and the corresponding area of ​​the glass to be predicted; the symmetric relationship includes a horizontal symmetric relationship or a central symmetric relationship;

[0047] According to the symmetric relationship and all the target reference points, a plurality of matching points to be predicted are determined from the area to be predicted.

[0048] As an optional implementation manner, in the second aspect of the present invention, the first determination module determines the matching multiple points to be predicted from the area to be predicted according to the symmetric relationship and all the target reference points, specifically including:

[0049] According to the symmetric relationship and all the target reference points, determining a target point to be predicted corresponding to each target reference point from the region to be predicted;

[0050] Acquiring a first surface morphology parameter of the target area and a second surface morphology parameter of the area to be predicted, and judging whether the surface morphologies of the target area and the area to be predicted match according to the first surface morphology parameter and the second surface morphology parameter;

[0051] When it is determined that the surface morphology of the target area matches that of the area to be predicted, all of the target points to be predicted are determined as a plurality of points to be predicted in the area to be predicted;

[0052] When it is determined that the surface morphology between the target area and the area to be predicted does not match, additional prediction points are determined from the area to be predicted based on the first surface morphology parameter and the second surface morphology parameter, and the additional prediction points and all the target points to be predicted are determined as multiple points to be predicted in the area to be predicted.

[0053] As an optional implementation, in the second aspect of the present invention, the prediction module predicts the temperature parameters of all the points to be predicted based on the target parameter, specifically including:

[0054] Determining the relative heat absorption parameter of the area to be predicted;

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

[0056] According to the first surface morphology parameter and the second surface morphology parameter, the temperature prediction influence corresponding to the surface morphology of the area to be predicted is determined, and according to the relative heat absorption parameter, the thermal characteristic parameter and the temperature prediction influence, the temperature parameters of all the points to be predicted are predicted.

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

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

[0059] When it is determined that the temperature prediction influence is less than or equal to the influence threshold, predicting the temperature parameters of all the points to be predicted 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 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 the target reference points, the first surface morphology parameter and the second surface morphology parameter.

[0061] As an optional implementation, in the second aspect of the present invention, the prediction module determines the relative heat absorption parameter of the area to be predicted in a manner that specifically includes:

[0062] Determine a first distance parameter between the target area 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 area according to the first distance parameter and the current heating parameter of the first heating device;

[0063] Determine a second distance parameter between the area to be predicted 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 area to be predicted based on the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area.

[0064] As an optional implementation, in the second aspect of the present invention, the method in which the prediction module determines the relative heat absorption parameter of the area to be predicted specifically further includes:

[0065] Before determining the relative heat absorption parameter of the area to be predicted according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area, determining a first coating parameter of the target area and a second coating parameter of the area to be predicted; the first coating parameter includes at least one of a coating material parameter, a coating thickness parameter, a coating method parameter and a film-substrate bonding method parameter of the target area, and the second coating parameter includes at least one of a coating material parameter, a coating thickness parameter, a coating method parameter and a film-substrate bonding method parameter of the area to be predicted;

[0066] Determine the film radiation parameters of the target area according to the first film coating parameters, and determine the film radiation parameters of the area to be predicted according to the second film coating parameters;

[0067] Analyzing the film radiation difference between the target area and the area to be predicted according to the film radiation parameters of the target area and the film radiation parameters of the area to be predicted;

[0068] The prediction module determines the relative heat absorption parameter of the area to be predicted according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area in a manner that specifically includes:

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

[0070] The third aspect of the present invention discloses another glass heating control device based on upper and lower symmetrical temperature prediction, the device comprising:

[0071] A memory storing executable program code;

[0072] a processor coupled to the memory;

[0073] The processor calls the executable program code stored in the memory to execute the glass heating control method based on upper and lower symmetrical temperature prediction disclosed in the first aspect of the present invention.

[0074] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the glass heating control method based on upper and lower symmetrical temperature prediction disclosed in the first aspect of the present invention.

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

[0076] In an embodiment of the present invention, based on the acquired temperature parameters of all the collection points in the target area of ​​the glass, a plurality of points to be predicted are determined from the to-be-predicted area of ​​the glass corresponding to the target area; based on the target parameters of the glass, the temperature parameters of all the points to be predicted are predicted; based on the temperature parameters of all the collection points and the temperature parameters of all the points to be predicted, the heating control parameters of the glass are determined to heat the glass. In this way, the temperature parameters of the corresponding area are predicted by the temperature parameters of a single area, so that the heating control process of the glass is realized based on the temperature parameters of the two areas. There is no need to collect the temperatures of the upper and lower areas of the glass at the same time, which improves the temperature collection efficiency and accuracy of the glass, and further improves the heating control accuracy of the glass. At the same time, it is also conducive to simplifying the structure of the heating equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0078] Figure 1 It is a flow chart of a glass heating control method based on upper and lower symmetrical temperature prediction disclosed in an embodiment of the present invention;

[0079] Figure 2 It is a flow chart of another glass heating control method based on upper and lower symmetrical temperature prediction disclosed in an embodiment of the present invention;

[0080] Figure 3 It is a structural schematic diagram of a glass heating control device based on upper and lower symmetrical temperature prediction disclosed in an embodiment of the present invention;

[0081] Figure 4 It is a structural schematic diagram of another glass heating control device based on upper and lower symmetrical temperature prediction disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0082] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0083] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. 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 may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0084] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0085] The present invention discloses a glass heating control method and device based on upper and lower symmetrical temperature prediction, which eliminates the need to simultaneously collect temperatures of the upper and lower regions of the glass, thereby improving the efficiency and accuracy of temperature collection of the glass, and further improving the accuracy of heating control of the glass; at the same time, it is also beneficial to simplify the structure of the heating equipment.

[0086] Embodiment 1

[0087] See also Figure 1 , Figure 1 : is a flow chart of a glass heating control method based on upper and lower symmetrical temperature prediction disclosed in an embodiment of the present invention. 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 cloud server for processing the glass heating control process, etc., which is not limited in the embodiment of the present invention. Figure 1 As shown, the glass heating control method based on upper and lower symmetrical temperature prediction may include the following operations:

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

[0089] In an embodiment of the present invention, the target area includes the upper area of ​​the glass or the lower area of ​​the glass, that is, for the glass placed in the roller of the heating furnace, the temperature parameters of multiple collection points in the upper area of ​​the glass parallel to the roller and facing away from the roller are obtained, or the temperature parameters of multiple collection points in the lower area of ​​the glass parallel to the roller and facing the roller are obtained.

[0090] Optionally, the process of determining the target area of ​​the glass (i.e., determining whether the temperature parameters of multiple collection points in the upper area or the lower area of ​​the glass need to be obtained) 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, etc., and the embodiment of the present invention is not limited thereto; 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 at the same time, correction can be further performed by a thermocouple associated with the target area in the heating furnace.

[0091] 102. According to the temperature parameters of all the acquisition points in the target area, a plurality of matching points to be predicted are determined from the to-be-predicted area of ​​the glass corresponding to the target area.

[0092] In an embodiment of the present invention, the area to be predicted of the glass corresponding to the target area is the lower area of ​​the glass symmetrical to the upper area of ​​the glass, or is the upper area of ​​the glass symmetrical to the lower area of ​​the glass, that is, when the aforementioned target area is the upper area of ​​the glass, the area to be predicted that subsequently requires temperature prediction is the lower area of ​​the glass symmetrical to the upper area, and when the target area is the lower area of ​​the glass, the area to be predicted that subsequently requires temperature prediction is the upper area of ​​the glass symmetrical to the lower area.

[0093] It should be noted that predicting the temperature parameters of the corresponding area by using the temperature parameters of a single area that have been collected is helpful to reduce the number of temperature collection devices required by the traditional heating furnace itself (since the traditional heating furnace needs to collect the temperature parameters of the upper and lower areas of the glass, it is necessary to construct temperature collection devices for the upper and lower areas of the glass), thereby simplifying the structure of the heating furnace.

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

[0095] In the embodiment of the present invention, the target parameters include glass thickness parameters and glass material parameters (such as glass density parameters, chemical composition parameters, processing method parameters, etc.).

[0096] 104. Determine heating control parameters of the glass according to the temperature parameters of all the collected points and the temperature parameters of all the points to be predicted, and control the heating furnace to heat the glass according to the heating control parameters.

[0097] In the embodiment of the present invention, the heating control parameters of the glass are determined based on the temperature parameters of all the collected points in the target area and the temperature parameters of all the predicted points in the predicted area, so as to realize the heating control process of the glass. Optionally, the heating control parameters may include one or more of heating power control parameters, heating temperature control parameters, heating position control parameters, roller movement control parameters, etc.

[0098] It can be seen that the implementation of the embodiment of the present invention can predict the temperature parameters of the corresponding area through the temperature parameters of a single area, thereby realizing the heating control process of the glass based on the temperature parameters of the two areas. There is no need to collect the temperature of the upper and lower areas of the glass at the same time, which improves the temperature collection efficiency and accuracy of the glass, and then improves the heating control accuracy of the glass; at the same time, it is also conducive to simplifying the structure of the glass heating equipment.

[0099] Embodiment 2

[0100] See also Figure 2 , Figure 2is a flow chart of another glass heating control method based on upper and lower symmetrical temperature prediction disclosed in an embodiment of the present invention. 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 cloud server for processing the glass heating control process, etc., which is not limited in the embodiment of the present invention. Figure 2 As shown, the glass heating control method based on upper and lower symmetrical temperature prediction may include the following operations:

[0101] 201. When the glass is on a roller in a heating furnace, temperature parameters of multiple collection points in a target area of ​​the glass are obtained.

[0102] 202. Determine a regional temperature change parameter corresponding to the target area according to the temperature parameters of all the collection points in the target area.

[0103] In the embodiment of the present invention, the regional temperature change parameter corresponding to the target region can be understood as a temperature gradient map corresponding to the target region.

[0104] 203. According to the regional temperature change parameters, multiple target reference points are determined from all the collection points.

[0105] In the embodiment of the present invention, further, according to the regional temperature change parameter, multiple target reference points are determined from all the acquisition points, including:

[0106] According to the regional temperature change parameter and the preset regional temperature division gradient parameter, the target area is divided into regions to obtain multiple sub-regions corresponding to the target area; each sub-region has multiple corresponding collection points;

[0107] According to the temperature parameters of all the acquisition points corresponding to each sub-region, the temperature change 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 the acquisition points corresponding to each sub-region, and all the reference points corresponding to all the sub-regions are determined as all the target reference points.

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

[0110] 204. Determine a symmetric relationship between the target area and the corresponding glass area to be predicted.

[0111] In an embodiment of the present invention, the symmetry relationship includes a horizontal symmetry relationship or a central symmetry relationship. For example, when the glass is a rectangular parallelepiped, the symmetry relationship between its target area and the area to be predicted includes a horizontal symmetry relationship. When the horizontal section of the glass is a polygon and the vertical section is a parallelogram, the symmetry relationship between its target area and the area to be predicted includes a central symmetry relationship.

[0112] 205. According to the symmetric relationship and all target reference points, a plurality of matching points to be predicted are determined from the area to be predicted.

[0113] In the embodiment of the present invention, all the determined points to be predicted include at least target points to be predicted obtained by performing a symmetric transformation on each target reference point, and the symmetric transformation includes a horizontal symmetric transformation or a central symmetric transformation.

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

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

[0116] In the embodiment of the present invention, for other descriptions of step 201, step 206 and step 207, please refer to the detailed description of step 101, step 103 and step 104 in the first embodiment, which will not be repeated in the embodiment of the present invention.

[0117] It can be seen that the implementation of the embodiment of the present invention can determine the regional temperature change parameters corresponding to the target area according to the temperature parameters of all the acquisition points in the target area, and then determine multiple target reference points from all the acquisition points, so as to determine multiple points to be predicted from the area to be predicted according to the symmetrical relationship between all the target reference points and the target area and the area to be predicted. In this way, the reliability and accuracy of determining the points to be predicted in the area to be predicted can be improved, and then the reliability, accuracy and efficiency of subsequent temperature prediction of the area to be predicted can be improved, so that the heating control of the glass can be performed quickly and accurately.

[0118] In an optional embodiment, the step 205 above determines a plurality of matching points to be predicted from the area to be predicted based on the symmetry relationship and all target reference points, including:

[0119] According to the symmetric relationship and all target reference points, the target to-be-predicted point corresponding to each target reference point is determined from the to-be-predicted area;

[0120] Acquire a first surface morphology parameter of the target area and a second surface morphology parameter of the area to be predicted, and determine whether the surface morphologies of the target area and the area to be predicted match 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 area and the area to be predicted matches, all target points to be predicted are determined as a plurality of points to be predicted in the area to be predicted;

[0122] When it is determined that the surface morphology between the target area and the area to be predicted does not match, additional prediction points are determined from the area to be predicted based on the first surface morphology parameter and the second surface morphology parameter, and the additional prediction points and all target points to be predicted are determined as multiple points to be predicted in the area to be predicted.

[0123] In this optional embodiment, the first surface morphology parameter may include the surface defect parameter and / or the surface concavo-convex condition of the target area, and the second surface morphology parameter may include the surface defect parameter and / or the surface concavo-convex condition of the area to be predicted. For example, when there is a concave area in the area to be predicted compared to the target area, that is, the surface morphology between the target area and the area to be predicted does not match, then an additional prediction point may be determined in the area to be predicted for the concave area, so that the temperature parameters of the additional prediction points in the area to be predicted that may not match the target area are predicted in the subsequent additional prediction.

[0124] It can be seen that this optional embodiment can further combine the first surface morphology parameters of the target area and the second surface morphology parameters of the area to be predicted to analyze all the points to be predicted required for the area to be predicted. In this way, the reliability and accuracy of the analysis of the points to be predicted in the area to be predicted can be improved, and the reliability and accuracy of the temperature prediction of the area to be predicted can be further improved, thereby improving the reliability and accuracy of the subsequent determination of the heating control parameters of the glass.

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

[0126] Determine the relative heat absorption parameters of the area to be predicted;

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

[0128] 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.

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

[0130] Determine whether the temperature prediction impact is greater than a preset impact threshold;

[0131] 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 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 determined that the temperature prediction influence is greater than the influence threshold, the temperature parameters of all the points to be predicted are predicted 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 this optional embodiment, that is, in the process of temperature prediction for the area to be predicted, the temperature parameters of all the points to be predicted in the area to be predicted are predicted by using the relative heat absorption parameters of the area to be predicted and the thermal characteristic parameters of the glass (the thermal characteristic parameters are related to the heat transfer and heat capacity between the upper area and the lower area), and further combined with the surface morphology difference between the target area and the area to be predicted (if the surface morphology difference between the two is large, such as the area to be predicted has a large concave surface compared to the target area, then it can be determined that the temperature prediction influence is greater than the influence threshold; and if the surface morphology between the two is very similar, then it can be determined that the temperature prediction influence is less than or equal to the influence threshold).

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

[0135] It can be seen that this optional embodiment 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 then the reliability and accuracy of the temperature parameter prediction of each point to be predicted can be improved, so that 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.

[0136] In yet another optional embodiment, determining the relative heat absorption parameter of the area to be predicted includes:

[0137] Determine a first distance parameter between the target area 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 area according to the first distance parameter and the current heating parameter of the first heating device;

[0138] Determine the second distance parameter between the area to be predicted and the second heating device preset in the heating furnace and the current heating parameter of the second heating device, and determine the relative heat absorption parameter of the area to be predicted based on the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area.

[0139] In this optional embodiment, it can be understood that after the heat absorption parameters of the target area are determined based on the first distance parameters between the target area and the first heating device preset in the heating furnace and the current heating parameters of the first heating device, the heat absorption parameters of the target area are used as a reference, and based on the second area parameters between the area to be predicted and the second heating device and the current heating parameters of the second heating device, the relative heat absorption parameters of the area to be predicted are determined.

[0140] It can be seen that this optional embodiment can determine the heat absorption parameters of the target area according to the first distance parameter between the target area and the first heating device in the heating furnace and the current heating parameters of the first heating device, and then use the heat absorption parameters of the target area as a reference to determine the relative heat absorption parameters of the area to be predicted according to the second distance parameter between the area to be predicted and the second heating device and the current heating parameters of the second heating device. In this way, not only the reliability and accuracy of determining the relative heat absorption parameters of the area to be predicted can be improved, but also the efficiency of analyzing the overall heat absorption of the glass can be improved, which is beneficial to improving the accuracy and efficiency of determining the overall heating temperature of the glass (that is, the temperature parameters of all collection points and all points to be predicted); at the same time, it is also beneficial to simplify the structure of the temperature collection part of the glass heating equipment and reduce the cost required for equipment construction.

[0141] In yet another optional embodiment, before determining the relative heat absorption parameter of the area to be predicted according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area in the above step, the method further includes:

[0142] Determine a first coating parameter of the target area and a second coating parameter of the area to be predicted;

[0143] Determine the film radiation parameters of the target area according to the first coating parameter, and determine the film radiation parameters of the area to be predicted according to the second coating parameter;

[0144] According to the film radiation parameters of the target area and the film radiation parameters of the area to be predicted, the film radiation difference between the target area and the area to be predicted is analyzed.

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

[0146] The relative heat absorption parameters of the area to be predicted are determined according to the film radiation difference, the second distance parameter, the current heating parameters of the second heating device and the heat absorption parameters of the target area.

[0147] In this optional embodiment, optionally, the first coating parameters include at least one of the coating material parameters, coating thickness parameters, coating method parameters (i.e., corresponding coating control parameters, such as coating temperature, coating rate, coating vacuum parameters, etc.), and film-to-substrate bonding method parameters (such as physical vapor deposition, chemical vapor deposition, electroplating, etc.) of the target area, and similarly, the second coating parameters include at least one of the coating material parameters, coating thickness parameters, coating method parameters, and film-to-substrate bonding method parameters of the area to be predicted.

[0148] It can be seen that this optional embodiment can further determine the film radiation parameters of the target area according to the first coating parameters of the target area, and determine the film radiation parameters of the area to be predicted according to the second coating parameters of the area to be predicted, and then determine the film radiation difference between the two areas, and then determine the relative heat absorption parameters of the area to be predicted according to the film radiation difference, the second distance parameter, the current heating parameters of the second heating device and the heat absorption parameters of the target area. This is conducive to improving the reliability and accuracy of determining the relative heat absorption parameters of the area to be predicted, and then is conducive to further improving the reliability and accuracy of temperature prediction of the area to be predicted, so as to improve the accuracy and efficiency of heating control of the glass.

[0149] Embodiment 3

[0150] See also Figure 3 , Figure 3 Schematic diagram of a glass heating control device based on upper and lower symmetrical temperature prediction disclosed in an embodiment of the present invention. Figure 3 As shown, the glass heating control device based on upper and lower symmetrical temperature prediction may include:

[0151] An acquisition module 301 is used to acquire temperature parameters of multiple acquisition points in a target area of ​​the glass when the glass is on a roller in a heating furnace;

[0152] A first determination module 302 is used to determine a plurality of matching points to be predicted from a to-be-predicted area of ​​the glass corresponding to the target area according to the temperature parameters of all the acquisition points in the target area;

[0153] The second determination module 303 is used to determine the target parameters of the glass; the target parameters include glass thickness parameters and glass material parameters;

[0154] A prediction module 304 is used to predict the temperature parameters of all points to be predicted based on the target parameters;

[0155] The second determination module 303 is further used to determine the heating control parameters of the glass according to the temperature parameters of all the acquisition points and the temperature parameters of all the points to be predicted;

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

[0157] In an embodiment of the present invention, the target area includes the upper area of ​​the glass or the lower area of ​​the glass; the area to be predicted of the glass corresponding to the target area is the lower area of ​​the glass symmetrical to the upper area of ​​the glass, or is the upper area of ​​the glass symmetrical to the lower area of ​​the glass.

[0158] Optionally, the prediction module 304 and the control module 305 may exist in independent forms respectively, or the two may be integrated together.

[0159] It can be seen that the implementation Figure 3 The described glass heating control device based on upper and lower symmetrical temperature prediction can predict the temperature parameters of the corresponding area through the temperature parameters of a single area, thereby realizing the heating control process of the glass based on the temperature parameters of the two areas. There is no need to collect the temperature of the upper and lower areas of the glass at the same time, which improves the temperature collection efficiency and accuracy of the glass, and then improves the heating control accuracy of the glass; at the same time, it is also conducive to simplifying the structure of the glass heating equipment.

[0160] In an optional embodiment, the first determining module 302 determines a plurality of matching points to be predicted from the glass to be predicted area corresponding to the target area according to the temperature parameters of all the acquisition points in the target area, specifically including:

[0161] Determine the regional temperature change parameter corresponding to the target area according to the temperature parameters of all the acquisition points in the target area;

[0162] According to the regional temperature variation parameters, multiple target reference points are determined from all the acquisition points;

[0163] Determine the symmetric relationship between the target area and the corresponding glass area to be predicted;

[0164] According to the symmetric relationship and all target reference points, a plurality of matching points to be predicted are determined from the area to be predicted.

[0165] In this optional embodiment, the symmetrical relationship includes a horizontally symmetrical relationship or a centrally symmetrical relationship.

[0166] It can be seen that the implementation Figure 3The described glass heating control device based on upper and lower symmetrical temperature prediction can determine the regional temperature change parameters corresponding to the target area according to the temperature parameters of all the collection points in the target area, and then determine multiple target reference points from all the collection points, so as to determine multiple points to be predicted from the area to be predicted according to all the target reference points and the symmetrical relationship between the target area and the area to be predicted. In this way, the reliability and accuracy of determining the points to be predicted in the area to be predicted can be improved, and then the reliability, accuracy and efficiency of subsequent temperature predictions in the area to be predicted can be improved, so that the glass can be heated and controlled quickly and accurately.

[0167] In another optional embodiment, the first determining module 302 determines the matching multiple points to be predicted from the area to be predicted according to the symmetric relationship and all target reference points, specifically including:

[0168] According to the symmetric relationship and all target reference points, the target to-be-predicted point corresponding to each target reference point is determined from the to-be-predicted area;

[0169] Acquire a first surface morphology parameter of the target area and a second surface morphology parameter of the area to be predicted, and determine whether the surface morphologies of the target area and the area to be predicted match 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 area and the area to be predicted matches, all target points to be predicted are determined as a plurality of points to be predicted in the area to be predicted;

[0171] When it is determined that the surface morphology between the target area and the area to be predicted does not match, additional prediction points are determined from the area to be predicted based on the first surface morphology parameter and the second surface morphology parameter, and the additional prediction points and all target points to be predicted are determined as multiple points to be predicted in the area to be predicted.

[0172] It can be seen that the implementation Figure 3 The described glass heating control device based on upper and lower symmetrical temperature prediction can further combine the first surface morphology parameters of the target area and the second surface morphology parameters of the area to be predicted to analyze all the points to be predicted required for the area to be predicted. In this way, the reliability and accuracy of the analysis of the points to be predicted in the area to be predicted can be improved, and the reliability and accuracy of the temperature prediction of the area to be predicted can be further improved, thereby improving the reliability and accuracy of the subsequent determination of the heating control parameters of the glass.

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

[0174] Determine the relative heat absorption parameters of the area to be predicted;

[0175] Determine the thermal characteristic parameters of the glass according to the glass thickness parameters and the 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] Further, as an optional implementation, the prediction module 304 predicts the temperature parameters of all the points to be predicted according to the relative heat absorption parameters, the thermal characteristic parameters and the temperature prediction influence, specifically including:

[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 according to 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 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.

[0182] It can be seen that the 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 according to 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 then 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 according to 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 yet another optional embodiment, the prediction module 304 determines the relative heat absorption parameter of the area to be predicted in a manner that specifically includes:

[0184] Determine a first distance parameter between the target area 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 area according to the first distance parameter and the current heating parameter of the first heating device;

[0185] Determine the second distance parameter between the area to be predicted and the second heating device preset in the heating furnace and the current heating parameter of the second heating device, and determine the relative heat absorption parameter of the area to be predicted based on the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area.

[0186] It can be seen that the implementation Figure 3 The described glass heating control device based on upper and lower symmetrical temperature prediction can determine the heat absorption parameters of the target area according to the first distance parameter between the target area and the first heating device in the heating furnace and the current heating parameters of the first heating device, and then use the heat absorption parameters of the target area as a reference to determine the relative heat absorption parameters of the area to be predicted according to the second distance parameter between the area to be predicted and the second heating device and the current heating parameters of the second heating device. In this way, not only the reliability and accuracy of the determination of the relative heat absorption parameters of the area to be predicted can be improved, but also the efficiency of the analysis of the overall heat absorption of the glass can be improved, which is beneficial to improve the accuracy and efficiency of determining the overall heating temperature of the glass (that is, the temperature parameters of all collection points and all points to be predicted); at the same time, it is also beneficial to simplify the structure of the temperature collection part of the glass heating equipment and reduce the cost required for equipment construction.

[0187] In yet another optional embodiment, the method in which the prediction module 304 determines the relative heat absorption parameter of the area to be predicted further includes:

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

[0189] Determine the film radiation parameters of the target area according to the first coating parameter, and determine the film radiation parameters of the area to be predicted according to the second coating parameter;

[0190] According to the film radiation parameters of the target area and the film radiation parameters of the area to be predicted, the film radiation difference between the target area and the area to be predicted is analyzed;

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

[0192] The relative heat absorption parameters of the area to be predicted are determined according to the film radiation difference, the second distance parameter, the current heating parameters of the second heating device and the heat absorption parameters of the target area.

[0193] In this optional embodiment, the first coating parameters include at least one of the coating material parameters, coating thickness parameters, coating method parameters, and film-substrate bonding method parameters of the target area, and the second coating parameters include at least one of the coating material parameters, coating thickness parameters, coating method parameters, and film-substrate bonding method parameters of the area to be predicted.

[0194] It can be seen that the implementation Figure 3 The described glass heating control device based on upper and lower symmetrical temperature prediction can further determine the film radiation parameters of the target area according to the first coating parameters of the target area, and determine the film radiation parameters of the area to be predicted according to the second coating parameters of the area to be predicted, and then determine the film radiation difference between the two areas, and then determine the relative heat absorption parameters of the area to be predicted according to the film radiation difference, the second distance parameter, the current heating parameters of the second heating device and the heat absorption parameters of the target area. This is conducive to improving the reliability and accuracy of determining the relative heat absorption parameters of the area to be predicted, and then is conducive to further improving the reliability and accuracy of temperature prediction of the area to be predicted, so as to improve the accuracy and efficiency of heating control of the glass.

[0195] Embodiment 4

[0196] See also Figure 4 , Figure 4 Schematic diagram of another glass heating control device based on upper and lower symmetrical temperature prediction disclosed in an embodiment of the present invention. Figure 4 As shown, the glass heating control device based on upper and lower symmetrical temperature prediction may include:

[0197] A memory 401 storing executable program codes;

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

[0199] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the glass heating control method based on upper and lower symmetrical temperature prediction described in the first embodiment of the present invention or the second embodiment of the present invention.

[0200] Embodiment 5

[0201] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the glass heating control method based on upper and lower symmetrical temperature prediction described in Embodiment 1 or Embodiment 2 of the present invention.

[0202] Embodiment 6

[0203] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program can be operated to enable a computer to execute the steps of the glass heating control method based on upper and lower symmetrical temperature prediction described in Example 1 or Example 2.

[0204] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0205] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0206] Finally, it should be noted that the glass heating control method and device based on upper and lower symmetrical temperature prediction disclosed in the embodiment of the present invention discloses only the preferred embodiment of the present invention, which is only used to illustrate the technical scheme of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that it is still possible to modify the technical schemes recorded in the aforementioned embodiments, or to make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not make the essence of the corresponding technical schemes deviate from the spirit and scope of the technical schemes of the various embodiments of the present invention.

Claims

1. A glass heating control method based on upper and lower symmetrical temperature prediction, characterized in that: The method comprises: When the glass is on a roller in a heating furnace, temperature parameters of a plurality of acquisition points in a target area of ​​the glass are acquired; the target area includes an upper area of ​​the glass or a lower area of ​​the glass; According to the temperature parameters of all the acquisition points in the target area, a plurality of matching points to be predicted are determined from the area to be predicted of the glass corresponding to the target area; the area to be predicted of the glass corresponding to the target area is a lower area of ​​the glass symmetrical to an upper area of ​​the glass, or an upper area of ​​the glass symmetrical to the lower area of ​​the glass; Determine the target parameters of the glass, and based on the target parameters, predict the temperature parameters of all the points to be predicted; the target parameters include glass thickness parameters and glass material parameters; 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 points to be predicted, and the heating furnace is controlled to perform heating operation on the glass according to the heating control parameters.

2. The glass heating control method based on upper and lower symmetrical temperature prediction according to claim 1, characterized in that: The step of determining a plurality of matching points to be predicted from the to-be-predicted area of ​​the glass corresponding to the target area according to the temperature parameters of all the acquisition points in the target area comprises: Determine a regional temperature change parameter corresponding to the target area according to the temperature parameters of all the acquisition points in the target area; Determining a plurality of target reference points from all the acquisition points according to the regional temperature change parameter; Determine a symmetric relationship between the target area and the corresponding area of ​​the glass to be predicted; the symmetric relationship includes a horizontal symmetric relationship or a central symmetric relationship; According to the symmetric relationship and all the target reference points, a plurality of matching points to be predicted are determined from the area to be predicted.

3. The glass heating control method based on upper and lower symmetrical temperature prediction according to claim 2, characterized in that: The step of determining a plurality of matching points to be predicted from the area to be predicted based on the symmetric relationship and all the target reference points includes: According to the symmetric relationship and all the target reference points, determining a target point to be predicted corresponding to each target reference point from the region to be predicted; Acquiring a first surface morphology parameter of the target area and a second surface morphology parameter of the area to be predicted, and judging whether the surface morphologies of the target area and the area to be predicted match according to the first surface morphology parameter and the second surface morphology parameter; When it is determined that the surface morphology of the target area matches that of the area to be predicted, all of the target points to be predicted are determined as a plurality of points to be predicted in the area to be predicted; When it is determined that the surface morphology between the target area and the area to be predicted does not match, additional prediction points are determined from the area to be predicted based on the first surface morphology parameter and the second surface morphology parameter, and the additional prediction points and all the target points to be predicted are determined as multiple points to be predicted in the area to be predicted.

4. The glass heating control method based on upper and lower symmetrical temperature prediction according to claim 3 is characterized in that: The step of predicting the temperature parameters of all the points to be predicted based on the target parameters includes: Determining the relative heat absorption parameter of the area to be predicted; Determining the thermal characteristic parameters of the glass according to the glass thickness parameter and the glass material parameter; the thermal characteristic parameters include at least one of a heat transfer coefficient, a heat transfer path parameter and a heat capacity coefficient; According to the first surface morphology parameter and the second surface morphology parameter, the temperature prediction influence corresponding to the surface morphology of the area to be predicted is determined, and according to the relative heat absorption parameter, the thermal characteristic parameter and the temperature prediction influence, the temperature parameters of all the points to be predicted are predicted.

5. The glass heating control method based on upper and lower symmetrical temperature prediction according to claim 4 is characterized in that: The step of predicting the temperature parameters of all the points to be predicted according to the relative heat absorption parameter, the thermal characteristic parameter and the temperature prediction influence degree comprises: Determining whether the temperature prediction influence is greater than a preset influence threshold; When it is determined that the temperature prediction influence is less than or equal to the influence threshold, predicting the temperature parameters of all the points to be predicted according to the relative heat absorption parameter, the thermal characteristic parameter and the temperature parameters of all the target reference points; 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 the target reference points, the first surface morphology parameter and the second surface morphology parameter.

6. The glass heating control method based on upper and lower symmetrical temperature prediction according to claim 4 or 5, characterized in that: Determining the relative heat absorption parameter of the area to be predicted includes: Determine a first distance parameter between the target area 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 area according to the first distance parameter and the current heating parameter of the first heating device; Determine a second distance parameter between the area to be predicted 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 area to be predicted based on the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area.

7. The glass heating control method based on upper and lower symmetrical temperature prediction according to claim 6, characterized in that: Before determining the relative heat absorption parameter of the area to be predicted according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area, the method further includes: Determine a first coating parameter of the target area and a second coating parameter of the area to be predicted; the first coating parameter includes at least one of a coating material parameter, a coating thickness parameter, a coating method parameter, and a film-substrate bonding method parameter of the target area, and the second coating parameter includes at least one of a coating material parameter, a coating thickness parameter, a coating method parameter, and a film-substrate bonding method parameter of the area to be predicted; Determine the film radiation parameters of the target area according to the first film coating parameters, and determine the film radiation parameters of the area to be predicted according to the second film coating parameters; Analyzing the film radiation difference between the target area and the area to be predicted according to the film radiation parameters of the target area and the film radiation parameters of the area to be predicted; Wherein, determining the relative heat absorption parameter of the area to be predicted according to the second distance parameter, the current heating parameter of the second heating device and the heat absorption parameter of the target area includes: The relative heat absorption parameter of the area to be predicted 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.

8. A glass heating control device based on upper and lower symmetrical temperature prediction, characterized in that: The device comprises: An acquisition module, used for acquiring temperature parameters of a plurality of acquisition points in a target area of ​​the glass when the glass is on a roller in a heating furnace; the target area includes an upper area of ​​the glass or a lower area of ​​the glass; A first determination module is used to determine a plurality of matching points to be predicted 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; the to-be-predicted area of ​​the glass corresponding to the target area is a lower area of ​​the glass symmetrical to an upper area of ​​the glass, or an upper area of ​​the glass symmetrical to the lower area of ​​the glass; A second determination module is used to determine target parameters of the glass; the target parameters include glass thickness parameters and glass material parameters; A prediction module, used for predicting the temperature parameters of all the points to be predicted based on the target parameters; The second determination module is further used to determine the heating control parameters of the glass according to the temperature parameters of all the acquisition points and the temperature parameters of all the points to be predicted; A control module is used to control the heating furnace to heat the glass according to the heating control parameters.

9. A glass heating control device based on upper and lower symmetrical temperature prediction, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the glass heating control method based on upper and lower symmetrical temperature prediction as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the glass heating control method based on upper and lower symmetrical temperature prediction as described in any one of claims 1 to 7.

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