Glass heating control method and device based on left-right 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 left-right symmetrical temperature prediction, which comprises the following steps: when the glass is on a roller bed in a heating furnace, position parameters corresponding to a plurality of collection points in a target area of the glass are acquired; a region symmetry relationship between the target area and a to-be-predicted area of the glass corresponding to the target area is determined; according to the position parameters corresponding to each collection point and the region symmetry relationship, a to-be-predicted point corresponding to each collection point is determined from the to-be-predicted area, and the temperature parameters of all the to-be-predicted points are predicted according to the temperature parameters of all the collection points; 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, and then the glass is heated, so that the left and right areas of the glass do not need to be simultaneously subjected to temperature collection, the temperature collection efficiency and accuracy of the glass are improved, and the heating control accuracy of the glass is improved.

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 bilaterally 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 uses rollers to send glass into the heating furnace 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 left area and the right area 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 is 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 bilaterally symmetrical temperature prediction, which eliminates the need to simultaneously collect temperatures of the left and right areas of the glass, thereby improving the efficiency and accuracy of glass temperature collection and thus facilitating improved glass heating control accuracy.

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

[0005] When the glass is on a roller conveyor in a heating furnace, a center line of the roller conveyor is determined, and based on the center line, position parameters corresponding to a plurality of acquisition points in a target area of ​​the glass are acquired; the target area includes a left area of ​​the glass located to the left of the center line or a right area of ​​the glass located to the right of the center line;

[0006] Determining a regional symmetry relationship between the target area and a region to be predicted of the glass corresponding to the target area; the region to be predicted of the glass corresponding to the target area is a right region of the glass symmetrical to a left region of the glass, or a left region of the glass symmetrical to the right region of the glass, and the regional symmetry relationship includes a vertical symmetry relationship or a central symmetry relationship;

[0007] Determining, from the area to be predicted, a point to be predicted corresponding to each of the collection points according to the position parameters corresponding to each of the collection points and the regional symmetry relationship;

[0008] Acquiring the temperature parameters of each of the collection points, and predicting the temperature parameters of all the points to be predicted based on the temperature parameters of all the collection points;

[0009] 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 a heating operation on the glass according to the heating control parameters.

[0010] As an optional embodiment, in the first aspect of the present invention, predicting the temperature parameters of all the points to be predicted based on the temperature parameters of all the collection points includes:

[0011] Determining device parameters of a first heating device in the heating furnace corresponding to the target area; the device parameters of the first heating device include a device operating power parameter of the first heating device and a relative position parameter between the first heating device and each of the collection points;

[0012] Determining device parameters of a second heating device in the heating furnace corresponding to the area to be predicted; the device parameters of the second heating device include a device operating power parameter of the second heating device and a relative position parameter between the second heating device and each of the points to be predicted;

[0013] The temperature parameters of all the points to be predicted are predicted according to the device parameters of the first heating device, the device parameters of the second heating device, and the temperature parameters of all the acquisition points.

[0014] As an optional embodiment, in the first aspect of the present invention, predicting the temperature parameters of all the points to be predicted based on the device parameters of the first heating device, the device parameters of the second heating device, and the temperature parameters of all the collection points includes:

[0015] Determining roller parameters of a first zone roller conveyor corresponding to the target zone in the heating furnace; the roller parameters of the first zone roller conveyor include at least one of a running speed parameter of the first zone roller conveyor, a zone contact parameter between the first zone roller conveyor and the target zone, and a roller spacing parameter of the first zone roller conveyor;

[0016] Determining roller parameters of a second-area roller conveyor in the heating furnace corresponding to the area to be predicted; the roller parameters of the second-area roller conveyor include at least one of a running speed parameter of the second-area roller conveyor, a regional contact parameter between the second-area roller conveyor and the area to be predicted, and a roller spacing parameter of the second-area roller conveyor;

[0017] The temperature parameters of all the points to be predicted are predicted based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all the collection points.

[0018] As an optional embodiment, in the first aspect of the present invention, predicting the temperature parameters of all the points to be predicted based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all the collection points includes:

[0019] Determining the hot air flow condition in the target area according to the device parameters of the first heating device and the roller parameters of the first area roller;

[0020] Analyzing the thermal airflow-temperature distribution relationship in the target area according to the thermal airflow condition in the target area and the temperature parameters of all the collection points;

[0021] Determining the hot air flow condition of the area to be predicted based on the device parameters of the second heating device and the roller parameters of the second area roller;

[0022] The temperature parameters of all the points to be predicted are predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area.

[0023] As an optional embodiment, in the first aspect of the present invention, before predicting the temperature parameters of all the points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area, the method further includes:

[0024] Acquire environmental parameters of the first heating furnace external environment corresponding to the target area; the environmental parameters of the first heating furnace external environment include at least one of an environmental temperature parameter, an environmental humidity parameter, and an environmental airflow parameter of the first heating furnace external environment;

[0025] Acquire environmental parameters of the external environment of the second heating furnace corresponding to the area to be predicted; the environmental parameters of the external environment of the second heating furnace include at least one of an environmental temperature parameter, an environmental humidity parameter, and an environmental airflow parameter of the external environment of the second heating furnace;

[0026] determining an environmental difference between the external environment of the first heating furnace and the external environment of the second heating furnace based on environmental parameters of the external environment of the first heating furnace and environmental parameters of the external environment of the second heating furnace;

[0027] The step of predicting the temperature parameters of all the points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area includes:

[0028] The temperature parameters of all the points to be predicted are predicted based on the environmental differences, the thermal airflow conditions in the area to be predicted, and the thermal airflow-temperature distribution relationship in the target area.

[0029] As an optional embodiment, in the first aspect of the present invention, before predicting the temperature parameters of all the points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area, the method further includes:

[0030] Acquiring surface parameters of the target area; the surface parameters of the target area include at least one of surface coating parameters, surface defect parameters, and surface concave-convex conditions of the target area;

[0031] Acquiring surface parameters of the area to be predicted; the surface parameters of the area to be predicted include at least one of surface coating parameters, surface defect parameters, and surface concave-convex conditions of the area to be predicted;

[0032] Determining surface differences between the target area and the area to be predicted based on surface parameters of the target area and surface parameters of the area to be predicted;

[0033] The step of predicting the temperature parameters of all the points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area includes:

[0034] The temperature parameters of all the points to be predicted are predicted based on the surface difference, the thermal airflow condition of the area to be predicted, and the thermal airflow-temperature distribution relationship of the target area.

[0035] As an optional embodiment, in the first aspect of the present invention, determining the heating control parameters of the glass according to the temperature parameters of all the collection points and the temperature parameters of all the points to be predicted includes:

[0036] Obtaining target parameters of the glass; the target parameters include at least one of glass material parameters, glass thickness parameters, and glass processing requirement parameters;

[0037] Determining the expected temperature parameters of all the collection points and the expected temperature parameters of all the points to be predicted based on the target parameters;

[0038] determining an actual heating difference of the target area based on the expected temperature parameters of all the collection points and the temperature parameters of all the collection points, and determining an actual heating difference of the area to be predicted based on the expected temperature parameters of all the points to be predicted and the temperature parameters of all the points to be predicted;

[0039] The heating control parameters of the glass are determined according to the actual heating difference of the target area and the actual heating difference of the area to be predicted.

[0040] As an optional implementation manner, in the first aspect of the present invention, after obtaining the temperature parameter of each collection point, the method further includes:

[0041] Determining a first heating control parameter corresponding to the output control module in the target area according to the temperature parameters of all the acquisition points;

[0042] According to the first heating control parameter corresponding to the output control module, and through the output control module, a second heating control parameter of the area to be predicted is determined in parallel;

[0043] The heating furnace is controlled to perform a heating operation on the glass according to the first heating control parameter and the second heating control parameter.

[0044] A second aspect of the present invention discloses a glass heating control device based on bilaterally symmetrical temperature prediction, the device comprising:

[0045] an acquisition module, configured to determine a center line of the roller conveyor when the glass is on the roller conveyor in the heating furnace, and based on the center line, acquire position parameters corresponding to a plurality of acquisition points in a target area of ​​the glass; the target area includes a left area of ​​the glass located to the left of the center line or a right area of ​​the glass located to the right of the center line;

[0046] a determination module, configured to determine a regional symmetry relationship between the target area and a region to be predicted of the glass corresponding to the target area; the region to be predicted of the glass corresponding to the target area is a right region of the glass symmetrical with respect to a left region of the glass, or a left region of the glass symmetrical with respect to a right region of the glass, and the regional symmetry relationship includes a vertical symmetry relationship or a central symmetry relationship; and determine, from the region to be predicted, a point to be predicted corresponding to each collection point based on a position parameter corresponding to each collection point and the regional symmetry relationship;

[0047] The acquisition module is further used to obtain the temperature parameters of each collection point;

[0048] A prediction module, configured to predict the temperature parameters of all the points to be predicted based on the temperature parameters of all the acquisition points;

[0049] The determination module is further configured 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;

[0050] A control module is used to control the heating furnace to heat the glass according to the heating control parameters.

[0051] As an optional embodiment, in the second aspect of the present invention, the prediction module predicts the temperature parameters of all the to-be-predicted points based on the temperature parameters of all the collection points in a manner that specifically includes:

[0052] Determining device parameters of a first heating device in the heating furnace corresponding to the target area; the device parameters of the first heating device include a device operating power parameter of the first heating device and a relative position parameter between the first heating device and each of the collection points;

[0053] Determining device parameters of a second heating device in the heating furnace corresponding to the area to be predicted; the device parameters of the second heating device include a device operating power parameter of the second heating device and a relative position parameter between the second heating device and each of the points to be predicted;

[0054] The temperature parameters of all the points to be predicted are predicted according to the device parameters of the first heating device, the device parameters of the second heating device, and the temperature parameters of all the acquisition points.

[0055] As an optional embodiment, 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 device parameters of the first heating device, the device parameters of the second heating device, and the temperature parameters of all the collection points, specifically including:

[0056] Determining roller parameters of a first zone roller conveyor corresponding to the target zone in the heating furnace; the roller parameters of the first zone roller conveyor include at least one of a running speed parameter of the first zone roller conveyor, a zone contact parameter between the first zone roller conveyor and the target zone, and a roller spacing parameter of the first zone roller conveyor;

[0057] Determining roller parameters of a second-area roller conveyor in the heating furnace corresponding to the area to be predicted; the roller parameters of the second-area roller conveyor include at least one of a running speed parameter of the second-area roller conveyor, a regional contact parameter between the second-area roller conveyor and the area to be predicted, and a roller spacing parameter of the second-area roller conveyor;

[0058] The temperature parameters of all the points to be predicted are predicted based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all the collection points.

[0059] As an optional embodiment, 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 device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all the collection points. Specifically, the method includes:

[0060] Determining the hot air flow condition in the target area according to the device parameters of the first heating device and the roller parameters of the first area roller;

[0061] Analyzing the thermal airflow-temperature distribution relationship in the target area according to the thermal airflow condition in the target area and the temperature parameters of all the collection points;

[0062] Determining the hot air flow condition of the area to be predicted based on the device parameters of the second heating device and the roller parameters of the second area roller;

[0063] The temperature parameters of all the points to be predicted are predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area.

[0064] As an optional embodiment, 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 device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all the collection points, and further includes:

[0065] Before predicting the temperature parameters of all the points to be predicted based on the hot air flow conditions in the area to be predicted and the hot air flow-temperature distribution relationship in the target area, obtaining environmental parameters of the external environment of the first heating furnace corresponding to the target area; the environmental parameters of the external environment of the first heating furnace include at least one of an environmental temperature parameter, an environmental humidity parameter, and an environmental airflow parameter of the external environment of the first heating furnace;

[0066] Acquire environmental parameters of the external environment of the second heating furnace corresponding to the area to be predicted; the environmental parameters of the external environment of the second heating furnace include at least one of an environmental temperature parameter, an environmental humidity parameter, and an environmental airflow parameter of the external environment of the second heating furnace;

[0067] determining an environmental difference between the external environment of the first heating furnace and the external environment of the second heating furnace based on environmental parameters of the external environment of the first heating furnace and environmental parameters of the external environment of the second heating furnace;

[0068] The prediction module predicts the temperature parameters of all the points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area, specifically including:

[0069] The temperature parameters of all the points to be predicted are predicted based on the environmental differences, the thermal airflow conditions in the area to be predicted, and the thermal airflow-temperature distribution relationship in the target area.

[0070] As an optional embodiment, 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 device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all the collection points, and further includes:

[0071] Before predicting the temperature parameters of all the points to be predicted based on the thermal airflow condition of the area to be predicted and the thermal airflow-temperature distribution relationship of the target area, obtaining the surface parameters of the target area; the surface parameters of the target area include at least one of the surface coating parameters, surface defect parameters, and surface unevenness of the target area;

[0072] Acquiring surface parameters of the area to be predicted; the surface parameters of the area to be predicted include at least one of surface coating parameters, surface defect parameters, and surface concave-convex conditions of the area to be predicted;

[0073] Determining surface differences between the target area and the area to be predicted based on surface parameters of the target area and surface parameters of the area to be predicted;

[0074] The prediction module predicts the temperature parameters of all the points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area, specifically including:

[0075] The temperature parameters of all the points to be predicted are predicted based on the surface difference, the thermal airflow condition of the area to be predicted, and the thermal airflow-temperature distribution relationship of the target area.

[0076] As an optional embodiment, in the second aspect of the present invention, the determination module determines 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, specifically including:

[0077] Obtaining target parameters of the glass; the target parameters include at least one of glass material parameters, glass thickness parameters, and glass processing requirement parameters;

[0078] Determining the expected temperature parameters of all the collection points and the expected temperature parameters of all the points to be predicted based on the target parameters;

[0079] determining an actual heating difference of the target area based on the expected temperature parameters of all the collection points and the temperature parameters of all the collection points, and determining an actual heating difference of the area to be predicted based on the expected temperature parameters of all the points to be predicted and the temperature parameters of all the points to be predicted;

[0080] The heating control parameters of the glass are determined according to the actual heating difference of the target area and the actual heating difference of the area to be predicted.

[0081] As an optional embodiment, in the second aspect of the present invention, the device further includes:

[0082] a target determination module, configured to determine, after the acquisition module acquires the temperature parameter of each acquisition point, a first heating control parameter corresponding to the output control module in the target area based on the temperature parameters of all the acquisition points; and to determine, in parallel, a second heating control parameter of the area to be predicted based on the first heating control parameter corresponding to the output control module and through the output control module;

[0083] A target control module is used to control the heating furnace to heat the glass according to the first heating control parameter and the second heating control parameter.

[0084] A third aspect of the present invention discloses another glass heating control device based on bilaterally symmetrical temperature prediction, the device comprising:

[0085] a memory storing executable program code;

[0086] a processor coupled to the memory;

[0087] The processor calls the executable program code stored in the memory to execute the glass heating control method based on bilaterally symmetrical temperature prediction disclosed in the first aspect of the present invention.

[0088] 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 bilaterally symmetrical temperature prediction disclosed in the first aspect of the present invention.

[0089] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0090] In an embodiment of the present invention, when the glass is on a roller in a heating furnace, position parameters corresponding to multiple collection points in a target area of ​​the glass are obtained; a regional symmetry relationship between the target area and the area to be predicted of the glass corresponding to the target area is determined; based on the position parameters and regional symmetry relationship corresponding to each collection point, a point to be predicted corresponding to each collection point is determined from the area to be predicted, and based on the temperature parameters of all collection points, the temperature parameters of all points to be predicted are predicted; based on the temperature parameters of all collection points and the temperature parameters of all points to be predicted, the heating control parameters of the glass are determined, and then the glass is heated. In this way, there is no need to collect temperatures of the left and right areas of the glass at the same time, which improves the efficiency and accuracy of temperature collection of the glass, thereby facilitating improved heating control accuracy of the glass. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] 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.

[0092] Figure 1 This is a flow chart of a glass heating control method based on bilaterally symmetrical temperature prediction disclosed in an embodiment of the present invention;

[0093] Figure 2 This is a flow chart of another glass heating control method based on bilaterally symmetrical temperature prediction disclosed in an embodiment of the present invention;

[0094] Figure 3 This is a schematic structural diagram of a glass heating control device based on bilaterally symmetrical temperature prediction disclosed in an embodiment of the present invention;

[0095] Figure 4 This is a schematic structural diagram of another glass heating control device based on bilaterally symmetrical temperature prediction disclosed in an embodiment of the present invention;

[0096] Figure 5 This is a structural schematic diagram of another glass heating control device based on bilaterally symmetrical temperature prediction disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0097] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of 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. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0098] The terms "first," "second," and so on, in the description and claims of the present invention and the accompanying drawings are used to distinguish between different items, not to describe a specific order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or end comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed therein, or may optionally include other steps or elements inherent to such process, method, product, or end.

[0099] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0100] The present invention discloses a glass heating control method and device based on bilaterally symmetrical temperature prediction, which eliminates the need to simultaneously collect temperatures of the left and right areas of the glass, thereby improving the efficiency and accuracy of glass temperature collection and thus facilitating improved accuracy of glass heating control.

[0101] Example 1

[0102] See also Figure 1 , Figure 1 This is a flow chart of a glass heating control method based on bilaterally 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 into 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 by the embodiment of the present invention. Figure 1 As shown, the glass heating control method based on bilaterally symmetrical temperature prediction may include the following operations:

[0103] 101. When the glass is on a roller conveyor in a heating furnace, determine the center line of the roller conveyor, and based on the center line, obtain position parameters corresponding to multiple collection points in a target area of ​​the glass.

[0104] In an embodiment of the present invention, the target area includes the left area of ​​the glass located to the left of the center line or the right area of ​​the glass located to the right of the center line. That is, for glass placed on a roller conveyor in a heating furnace, the position parameters corresponding to multiple acquisition points in the left area of ​​the glass on the upper surface (or lower surface) of the glass parallel to the roller conveyor and to the left of the center line of the roller conveyor are obtained, or the position parameters corresponding to multiple acquisition points in the right area of ​​the glass on the upper surface (or lower surface) of the glass parallel to the roller conveyor and to the right of the center line of the roller conveyor are obtained. Furthermore, the position parameters corresponding to multiple acquisition points in the target area of ​​the glass can be obtained based on the center line and in combination with the size parameters and / or shape parameters of the glass.

[0105] 102. Determine a regional symmetry relationship between a target area and a to-be-predicted area of ​​the glass corresponding to the target area.

[0106] In an embodiment of the present invention, the area to be predicted of the glass corresponding to the target area is the right area of ​​the glass symmetrical to the left area of ​​the glass, or the left area of ​​the glass symmetrical to the right area of ​​the glass, that is, when the aforementioned target area is the left area of ​​the glass, then the area to be predicted for which temperature prediction is subsequently required is the right area of ​​the glass symmetrical to the left area, and when the target area is the right area of ​​the glass, then the area to be predicted for which temperature prediction is subsequently required is the left area of ​​the glass symmetrical to the right area. Optionally, the regional symmetry relationship includes a vertical 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 vertical symmetry relationship, and when the horizontal section of the glass is a parallelogram and the vertical section is a regular quadrilateral, then the symmetry relationship between its target area and the area to be predicted includes a central symmetry relationship.

[0107] 103. According to the position parameters corresponding to each collection point and the regional symmetry relationship, determine the point to be predicted corresponding to each collection point in the region to be predicted.

[0108] In an embodiment of the present invention, for example, when the regional symmetry relationship between the target area and the area to be predicted of the glass corresponding to the target area is a vertical symmetry relationship, then a certain acquisition point (-4, 1) in the target area corresponds to a point to be predicted (4, 1) in the area to be predicted; and when the regional symmetry relationship between the target area and the area to be predicted of the glass corresponding to the target area is a central symmetry relationship, then a certain acquisition point (-4, -1) in the target area corresponds to a point to be predicted (4, 1) in the area to be predicted, and so on.

[0109] 104. Obtain the temperature parameters of each collection point, and predict the temperature parameters of all points to be predicted based on the temperature parameters of all collection points.

[0110] In the embodiment of the present invention, the process of collecting temperature parameters of all collection points can be implemented by a temperature collection module.

[0111] 105. Determine heating control parameters of the glass based on the temperature parameters of all collected points and the temperature parameters of all points to be predicted, and control the heating furnace to heat the glass based on the heating control parameters.

[0112] In an embodiment of the present invention, heating control parameters for the glass are determined based on the collected temperature parameters of all collected points in the target area and the predicted temperature parameters of all predicted points in the predicted area, thereby achieving heating control of the glass. Optionally, the heating control parameters may 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.

[0113] 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, without the need to simultaneously collect the temperatures of the left and right 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; at the same time, it is also conducive to simplifying the structure of the glass heating equipment.

[0114] In an optional embodiment, the step 104 of predicting the temperature parameters of all points to be predicted based on the temperature parameters of all collected points includes:

[0115] determining device parameters of a first heating device corresponding to the target area in the heating furnace;

[0116] Determining device parameters of a second heating device in the heating furnace corresponding to the area to be predicted;

[0117] The temperature parameters of all the points to be predicted are predicted according to the device parameters of the first heating device, the device parameters of the second heating device, and the temperature parameters of all the acquisition points.

[0118] In this optional embodiment, it can be understood that based on the device parameters of the first heating device (such as a thermocouple) and the temperature parameters of all the collection points, the device condition and temperature relationship corresponding to each collection point are analyzed, and then the temperature parameters of each point to be predicted are predicted based on the device condition and temperature relationship corresponding to each collection point and the device parameters of the second heating device corresponding to the area to be predicted. Among them, the device parameters of the first heating device include the device operating power parameters of the first heating device and the relative position parameters between the first heating device and each collection point; and the device parameters of the second heating device include the device operating power parameters of the second heating device and the relative position parameters between the second heating device and each point to be predicted. In addition, the device parameters of the first heating device and the device parameters of the second heating device can also include device type parameters.

[0119] It can be seen that this optional embodiment can predict the temperature parameters of all points to be predicted based on the device parameters of the first heating device corresponding to the target area, the device parameters of the second heating device corresponding to the area to be predicted, and the temperature parameters of all collection points. In this way, while simplifying the structure of the glass heating equipment, it is beneficial to improve the prediction rate and accuracy of the temperature parameters of the points to be predicted, and further help to improve the reliability and accuracy of determining the heating control parameters of the glass, thereby facilitating rapid and accurate heating control of the glass.

[0120] In another optional embodiment, the step of predicting the temperature parameters of all points to be predicted based on the device parameters of the first heating device, the device parameters of the second heating device, and the temperature parameters of all collection points includes:

[0121] Determining roller parameters of a first zone roller in the heating furnace corresponding to the target zone;

[0122] Determining roller parameters of a second area roller in the heating furnace corresponding to the area to be predicted;

[0123] The temperature parameters of all points to be predicted are predicted based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller and the temperature parameters of all collected points.

[0124] In this optional embodiment, optionally, the roller parameters of the first area roller include at least one of the running speed parameters of the first area roller, the regional contact parameters between the first area roller and the target area, and the roller spacing parameters of the first area roller; and, the roller parameters of the second area roller include at least one of the running speed parameters of the second area roller, the regional contact parameters between the second area roller and the area to be predicted, and the roller spacing parameters of the second area roller.

[0125] Furthermore, as an optional embodiment, based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all collected points, the temperature parameters of all points to be predicted are predicted, including:

[0126] Determining the hot air flow condition in the target area according to the device parameters of the first heating device and the roller parameters of the roller in the first area;

[0127] Analyze the thermal-temperature distribution relationship in the target area based on the thermal flow conditions in the target area and the temperature parameters of all acquisition points;

[0128] Determine the hot air flow condition in the area to be predicted based on the device parameters of the second heating device and the roller parameters of the roller in the second area;

[0129] The temperature parameters of all points to be predicted are predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area.

[0130] In this optional embodiment, the thermal air flow conditions in the target area and the thermal air flow conditions in the area to be predicted may respectively include thermal air flow rate conditions, thermal air flow position conditions, thermal air flow trajectory conditions, etc.

[0131] It can be seen that this optional embodiment can further determine the hot air flow condition of the target area based on the roller parameters of the first area roller corresponding to the target area and the device parameters of the first heating device, and then analyze the hot air flow-temperature distribution relationship of the target area in combination with the temperature parameters of the collection point, and determine the hot air flow condition of the area to be predicted based on the roller parameters of the second area roller corresponding to the area to be predicted and the device parameters of the second heating device, so as to predict the temperature parameters of all points to be predicted based on the hot air flow condition of the area to be predicted and the hot air flow-temperature distribution relationship of the target area. In this way, the prediction reliability and accuracy of the temperature parameters of the points to be predicted can be comprehensively improved, and then the reliability, accuracy and efficiency of determining the heating control parameters of the glass can be further improved, so that precise heating operation of the glass can be achieved.

[0132] In yet another optional embodiment, before predicting the temperature parameters of all points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area in the above step, the method further includes:

[0133] Acquire environmental parameters of the external environment of the first heating furnace corresponding to the target area;

[0134] Obtain environmental parameters of the external environment of the second heating furnace corresponding to the area to be predicted;

[0135] According to the environmental parameters of the external environment of the first heating furnace and the environmental parameters of the external environment of the second heating furnace, the environmental difference between the external environment of the first heating furnace and the external environment of the second heating furnace is determined.

[0136] Furthermore, as an optional embodiment, the temperature parameters of all points to be predicted are predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area, including:

[0137] The temperature parameters of all points to be predicted are predicted based on the environmental differences, the thermal airflow conditions in the area to be predicted, and the thermal airflow-temperature distribution relationship in the target area.

[0138] In this optional embodiment, the external environment of the first heating furnace corresponding to the target area can be understood as the environmental conditions near the inlet and outlet of the heating furnace relative to the target area; and the external environment of the second heating furnace corresponding to the area to be predicted can be understood as the environmental conditions near the inlet and outlet of the heating furnace relative to the area to be predicted (because the relative distance, relative environment, etc. between the inlet and outlet of the heating furnace and the target area / area to be predicted are different).

[0139] Optionally, the environmental parameters of the external environment of the first heating furnace include at least one of the environmental temperature parameters, environmental humidity parameters and environmental airflow parameters of the external environment of the first heating furnace; and the environmental parameters of the external environment of the second heating furnace include at least one of the environmental temperature parameters, environmental humidity parameters and environmental airflow parameters of the external environment of the second heating furnace.

[0140] It can be seen that this optional embodiment can determine the environmental differences between the two areas based on the environmental parameters of the external environment of the first heating furnace corresponding to the target area and the environmental parameters of the external environment of the second heating furnace corresponding to the area to be predicted, and then predict the temperature parameters of the point to be predicted based on the hot air flow conditions in the area to be predicted and the hot air flow-temperature distribution relationship in the target area, combined with the environmental differences. In this way, the prediction error caused by environmental uncertainty and the complexity of hot air flow can be effectively reduced, and the types and weights of environmental parameters can be adjusted according to actual needs, and the temperature prediction results of the point to be predicted can be further optimized, thereby not only improving the accuracy of the temperature parameter prediction of the area to be predicted, but also enhancing its applicability and practicality, and providing strong support for the precise control and optimization of the industrial heating process of glass.

[0141] In yet another optional embodiment, before predicting the temperature parameters of all points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area in the above step, the method further includes:

[0142] Obtaining surface parameters of the target area;

[0143] Obtaining surface parameters of the area to be predicted;

[0144] Determine the surface difference between the target area and the area to be predicted based on the surface parameters of the target area and the surface parameters of the area to be predicted;

[0145] Among them, based on the thermal flow conditions in the area to be predicted and the thermal-temperature distribution relationship in the target area, the temperature parameters of all points to be predicted are predicted, including:

[0146] The temperature parameters of all points to be predicted are predicted based on the surface differences, the thermal flow conditions in the area to be predicted, and the thermal-temperature distribution relationship in the target area.

[0147] In this optional embodiment, optionally, the surface parameters of the target area include at least one of the surface coating parameters, surface defect parameters and surface unevenness of the target area; and the surface parameters of the area to be predicted include at least one of the surface coating parameters, surface defect parameters and surface unevenness of the area to be predicted.

[0148] It can be seen that this optional embodiment can determine the surface difference between the target area and the surface parameters of the area to be predicted, and then predict the temperature parameters of the point to be predicted based on the hot air flow in the area to be predicted and the hot air flow-temperature distribution relationship in the target area, combined with the surface difference. In this way, the influence of the surface conditions of different areas of the glass on the hot air flow and temperature distribution can be more accurately reflected, and the temperature prediction error of the point to be predicted caused by the surface difference can be effectively reduced, thereby improving the accuracy and efficiency of subsequent heating control of the glass.

[0149] In yet another optional embodiment, after obtaining the temperature parameter of each collection point in step 104, the method further includes:

[0150] Determine a first heating control parameter corresponding to the output control module in the target area according to the temperature parameters of all the acquisition points;

[0151] According to the first heating control parameter corresponding to the output control module, and through the output control module, a second heating control parameter of the area to be predicted is determined in parallel;

[0152] According to the first heating control parameter and the second heating control parameter, the heating furnace is controlled to perform a heating operation on the glass.

[0153] In this optional embodiment, the first heating control parameter corresponding to the output control module in the target area may include heating control parameters corresponding to all acquisition points, and the second heating control parameter of the area to be predicted may include heating control parameters corresponding to all points to be predicted.

[0154] Furthermore, this optional embodiment can be understood as follows: the heating control parameters of the target area and the heating control parameters of the area to be predicted are both output in parallel by the output control module of the target area, and then the heating control of the glass is directly achieved through the output control module of the target area;

[0155] Alternatively, it can also be understood as: the heating control parameters of the target area and the heating control parameters of the area to be predicted are both output in parallel by the output control module of the target area, and then the output control module of the target area transmits the heating control parameters of the area to be predicted to the output control module of the area to be predicted, and then the heating control of the glass is realized through the output control module of the target area and the output control module of the area to be predicted. In this way, the output control of the symmetrical point corresponding to the collection point is directly merged into the corresponding output control module, and then the glass is heated and controlled, which can improve the convenience of heating control of the glass.

[0156] It can be seen that this optional embodiment can determine and output the heating control parameters of the target area and the area to be predicted in parallel, which is conducive to achieving faster response and precise control of the glass heating process, and is conducive to reducing additional control modules and complex data transmission paths, thereby simplifying the structure and complexity of the entire glass heating control system.

[0157] Example 2

[0158] See also Figure 2 , Figure 2 This is a flow chart of another glass heating control method based on bilaterally 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 into 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 by the embodiment of the present invention. Figure 2 As shown, the glass heating control method based on bilaterally symmetrical temperature prediction may include the following operations:

[0159] 201. When the glass is on a roller conveyor in a heating furnace, a center line of the roller conveyor is determined, and based on the center line, position parameters corresponding to multiple collection points in a target area of ​​the glass are obtained.

[0160] 202. Determine a regional symmetry relationship between a target area and a to-be-predicted area of ​​the glass corresponding to the target area.

[0161] 203. Determine the point to be predicted corresponding to each collection point in the area to be predicted based on the position parameters corresponding to each collection point and the regional symmetry relationship.

[0162] 204. Obtain the temperature parameters of each collection point, and predict the temperature parameters of all points to be predicted based on the temperature parameters of all collection points.

[0163] 205. Obtain target parameters of the glass.

[0164] In the embodiment of the present invention, optionally, the target parameter includes at least one of a glass material parameter, a glass thickness parameter, and a glass processing requirement parameter.

[0165] 206. Determine the expected temperature parameters of all the collection points and the expected temperature parameters of all the points to be predicted based on the target parameters.

[0166] In the embodiment of the present invention, the expected heating conditions corresponding to the target area and the expected heating conditions corresponding to the area to be predicted are determined based on the target parameters of the glass.

[0167] 207. Determine the actual heating difference of the target area based on the expected temperature parameters of all the collection points and the temperature parameters of all the collection points, and determine the actual heating difference of the to-be-predicted area based on the expected temperature parameters of all the to-be-predicted points and the temperature parameters of all the to-be-predicted points.

[0168] 208. Determine heating control parameters of the glass based on the actual heating difference of the target area and the actual heating difference of the area to be predicted.

[0169] 209. According to the heating control parameters, control the heating furnace to heat the glass.

[0170] In the embodiment of the present invention, for other descriptions of steps 201 to 204 , please refer to the detailed description of steps 101 to 104 in the first embodiment, which will not be repeated in the embodiment of the present invention.

[0171] It can be seen that the implementation of the embodiment of the present invention can determine the expected temperature parameters of the collection point and the expected temperature parameters of the point to be predicted based on the target parameters of the glass, and then combine the temperature parameters of the collection point and the temperature parameters of the point to be predicted to determine the actual heating difference corresponding to the target area and the area to be predicted, thereby determining the heating control parameters of the glass. In this way, the heating control parameters of the glass can be discovered and adjusted in a timely manner, effectively preventing glass quality problems caused by improper heating, thereby greatly enhancing the quality control capability in the glass production process.

[0172] Example 3

[0173] See also Figure 3 , Figure 3 Schematic diagram of the structure of a glass heating control device based on bilaterally symmetrical temperature prediction disclosed in an embodiment of the present invention. Figure 3 As shown, the glass heating control device based on bilaterally symmetrical temperature prediction may include:

[0174] An acquisition module 301 is used to determine the center line of the roller when the glass is on the roller in the heating furnace, and based on the center line, obtain position parameters corresponding to multiple collection points in the target area of ​​the glass;

[0175] Determination module 302 is used to determine the regional symmetry relationship between the target area and the glass area to be predicted corresponding to the target area; based on the position parameters corresponding to each collection point and the regional symmetry relationship, determine the point to be predicted corresponding to each collection point in the area to be predicted;

[0176] The acquisition module 301 is also used to obtain the temperature parameters of each collection point;

[0177] Prediction module 303, used to predict the temperature parameters of all points to be predicted based on the temperature parameters of all collected points;

[0178] The determination module 302 is further configured to determine the heating control parameters of the glass based on the temperature parameters of all the collected points and the temperature parameters of all the points to be predicted;

[0179] The control module 304 is used to control the heating furnace to heat the glass according to the heating control parameters.

[0180] In an embodiment of the present invention, the target area includes the left area of ​​the glass located on the left side of the center line or the right area of ​​the glass located on the right side of the center line; the area to be predicted of the glass corresponding to the target area is the right area of ​​the glass symmetrical to the left area of ​​the glass, or the left area of ​​the glass symmetrical to the right area of ​​the glass, and the regional symmetry relationship includes a vertical symmetry relationship or a central symmetry relationship.

[0181] Optionally, the prediction module 303 and the control module 304 may exist in independent forms respectively, or the two may be integrated together.

[0182] It can be seen that implementation Figure 3 The described glass heating control device based on left-right 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 left and right areas of the glass at the same time, which improves the efficiency and accuracy of the temperature collection of the glass, and thus improves the accuracy of the heating control of the glass; at the same time, it is also conducive to simplifying the structure of the glass heating equipment.

[0183] In an optional embodiment, the prediction module 303 predicts the temperature parameters of all the points to be predicted based on the temperature parameters of all the collected points in a manner that specifically includes:

[0184] determining device parameters of a first heating device corresponding to the target area in the heating furnace;

[0185] Determining device parameters of a second heating device in the heating furnace corresponding to the area to be predicted;

[0186] The temperature parameters of all the points to be predicted are predicted according to the device parameters of the first heating device, the device parameters of the second heating device, and the temperature parameters of all the acquisition points.

[0187] In this optional embodiment, the device parameters of the first heating device include the device operating power parameters of the first heating device and the relative position parameters between the first heating device and each collection point; the device parameters of the second heating device include the device operating power parameters of the second heating device and the relative position parameters between the second heating device and each point to be predicted.

[0188] It can be seen that implementation Figure 3 The described glass heating control device based on left-right symmetrical temperature prediction can predict the temperature parameters of all points to be predicted based on the device parameters of the first heating device corresponding to the target area, the device parameters of the second heating device corresponding to the area to be predicted, and the temperature parameters of all collection points. In this way, while simplifying the structure of the glass heating equipment, it is beneficial to improve the prediction rate and accuracy of the temperature parameters of the points to be predicted, and then it is beneficial to improve the reliability and accuracy of determining the heating control parameters of the glass, which is conducive to quickly and accurately controlling the heating of the glass.

[0189] In another optional embodiment, the prediction module 303 predicts the temperature parameters of all the points to be predicted based on the device parameters of the first heating device, the device parameters of the second heating device, and the temperature parameters of all the collection points in a manner that specifically includes:

[0190] Determining roller parameters of a first zone roller in the heating furnace corresponding to the target zone;

[0191] Determining roller parameters of a second area roller in the heating furnace corresponding to the area to be predicted;

[0192] The temperature parameters of all points to be predicted are predicted based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller and the temperature parameters of all collected points.

[0193] In this optional embodiment, the roller parameters of the first area roller include at least one of the running speed parameters of the first area roller, the regional contact parameters between the first area roller and the target area, and the roller spacing parameters of the first area roller; the roller parameters of the second area roller include at least one of the running speed parameters of the second area roller, the regional contact parameters between the second area roller and the area to be predicted, and the roller spacing parameters of the second area roller.

[0194] Furthermore, as an optional embodiment, the prediction module 303 predicts the temperature parameters of all points to be predicted based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all collected points, specifically including:

[0195] Determining the hot air flow condition in the target area according to the device parameters of the first heating device and the roller parameters of the roller in the first area;

[0196] Analyze the thermal-temperature distribution relationship in the target area based on the thermal flow conditions in the target area and the temperature parameters of all acquisition points;

[0197] Determine the hot air flow condition in the area to be predicted based on the device parameters of the second heating device and the roller parameters of the roller in the second area;

[0198] The temperature parameters of all points to be predicted are predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area.

[0199] It can be seen that implementation Figure 3 The described glass heating control device based on left-right symmetrical temperature prediction can further determine the hot air flow conditions in the target area according to the roller parameters of the first area roller corresponding to the target area and the device parameters of the first heating device, and then analyze the hot air flow-temperature distribution relationship in the target area in combination with the temperature parameters of the collection point, and determine the hot air flow conditions in the area to be predicted based on the roller parameters of the second area roller corresponding to the area to be predicted and the device parameters of the second heating device, so as to predict the temperature parameters of all points to be predicted according to the hot air flow conditions in the area to be predicted and the hot air flow-temperature distribution relationship in the target area. In this way, the prediction reliability and accuracy of the temperature parameters of the points to be predicted can be comprehensively improved, and then the reliability, accuracy and efficiency of the determination of the heating control parameters of the glass can be further improved, so that precise heating operation of the glass can be realized.

[0200] In another optional embodiment, the prediction module 303 predicts the temperature parameters of all the points to be predicted based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all the collection points, and further includes:

[0201] Before predicting the temperature parameters of all points to be predicted based on the hot air flow conditions in the area to be predicted and the hot air flow-temperature distribution relationship in the target area, obtaining the environmental parameters of the external environment of the first heating furnace corresponding to the target area;

[0202] Obtain environmental parameters of the external environment of the second heating furnace corresponding to the area to be predicted;

[0203] determining an environmental difference between the external environment of the first heating furnace and the external environment of the second heating furnace based on environmental parameters of the external environment of the first heating furnace and environmental parameters of the external environment of the second heating furnace;

[0204] The prediction module 303 predicts the temperature parameters of all points to be predicted based on the thermal flow conditions in the area to be predicted and the thermal flow-temperature distribution relationship in the target area, specifically including:

[0205] The temperature parameters of all points to be predicted are predicted based on the environmental differences, the thermal airflow conditions in the area to be predicted, and the thermal airflow-temperature distribution relationship in the target area.

[0206] In this optional embodiment, the environmental parameters of the external environment of the first heating furnace include at least one of the environmental temperature parameters, environmental humidity parameters and environmental airflow parameters of the external environment of the first heating furnace; the environmental parameters of the external environment of the second heating furnace include at least one of the environmental temperature parameters, environmental humidity parameters and environmental airflow parameters of the external environment of the second heating furnace.

[0207] It can be seen that implementation Figure 3 The described glass heating control device based on left-right symmetrical temperature prediction can determine the environmental differences between the two areas according to the environmental parameters of the external environment of the first heating furnace corresponding to the target area and the environmental parameters of the external environment of the second heating furnace corresponding to the area to be predicted, and then predict the temperature parameters of the point to be predicted according to the hot air flow conditions in the area to be predicted and the hot air flow-temperature distribution relationship in the target area, combined with the environmental differences. In this way, the prediction error caused by environmental uncertainty and the complexity of hot air flow can be effectively reduced, and the types and weights of environmental parameters can be adjusted according to actual needs, and the temperature prediction results of the point to be predicted can be further optimized, thereby not only improving the accuracy of the temperature parameter prediction of the area to be predicted, but also enhancing its applicability and practicality, and providing strong support for the precise control and optimization of the industrial heating process of glass.

[0208] In another optional embodiment, the prediction module 303 predicts the temperature parameters of all the points to be predicted based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all the collection points, and further includes:

[0209] Before predicting the temperature parameters of all points to be predicted based on the thermal flow conditions in the area to be predicted and the thermal-temperature distribution relationship in the target area, the surface parameters of the target area are obtained;

[0210] Obtaining surface parameters of the area to be predicted;

[0211] Determine the surface difference between the target area and the area to be predicted based on the surface parameters of the target area and the surface parameters of the area to be predicted;

[0212] The prediction module 303 predicts the temperature parameters of all points to be predicted based on the thermal flow conditions in the area to be predicted and the thermal flow-temperature distribution relationship in the target area, specifically including:

[0213] The temperature parameters of all points to be predicted are predicted based on the surface differences, the thermal flow conditions in the area to be predicted, and the thermal-temperature distribution relationship in the target area.

[0214] In this optional embodiment, the surface parameters of the target area include at least one of the surface coating parameters, surface defect parameters and surface unevenness of the target area; the surface parameters of the area to be predicted include at least one of the surface coating parameters, surface defect parameters and surface unevenness of the area to be predicted.

[0215] It can be seen that implementation Figure 3 The described glass heating control device based on left-right symmetrical temperature prediction can determine the surface difference between the target area and the surface parameters of the area to be predicted, and then predict the temperature parameters of the point to be predicted based on the hot air flow in the area to be predicted and the hot air flow-temperature distribution relationship in the target area, combined with the surface difference. In this way, it can more accurately reflect the influence of the surface conditions of different areas of the glass on the hot air flow and temperature distribution, and thus can effectively reduce the temperature prediction error of the point to be predicted caused by surface differences, thereby improving the accuracy and efficiency of subsequent heating control of the glass.

[0216] In another optional embodiment, the determination module 302 determines the 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, specifically by:

[0217] Get target parameters of glass;

[0218] According to the target parameters, the expected temperature parameters of all the collection points and the expected temperature parameters of all the points to be predicted are determined;

[0219] Determining the actual heating difference of the target area based on the expected temperature parameters of all the collected points and the temperature parameters of all the collected points, and determining the actual heating difference of the area to be predicted based on the expected temperature parameters of all the points to be predicted and the temperature parameters of all the points to be predicted;

[0220] The heating control parameters of the glass are determined based on the actual heating difference of the target area and the actual heating difference of the area to be predicted.

[0221] In this optional embodiment, the target parameter includes at least one of a glass material parameter, a glass thickness parameter, and a glass processing requirement parameter.

[0222] It can be seen that implementation Figure 3 The described glass heating control device based on bilaterally symmetrical temperature prediction can determine the expected temperature parameters of the collection point and the expected temperature parameters of the point to be predicted according to the target parameters of the glass, and then combine the temperature parameters of the collection point and the temperature parameters of the point to be predicted to determine the actual heating differences corresponding to the target area and the area to be predicted, thereby determining the heating control parameters of the glass. In this way, the heating control parameters of the glass can be discovered and adjusted in a timely manner, effectively preventing glass quality problems caused by improper heating, thereby greatly enhancing the quality control capabilities in the glass production process.

[0223] In yet another optional embodiment, the apparatus further comprises:

[0224] The target determination module 305 is configured to determine, after the acquisition module acquires the temperature parameters of each acquisition point, a first heating control parameter corresponding to the output control module in the target area based on the temperature parameters of all acquisition points; and to determine, in parallel, a second heating control parameter of the area to be predicted based on the first heating control parameter corresponding to the output control module and through the output control module;

[0225] The target control module 306 is used to control the heating furnace to heat the glass according to the first heating control parameter and the second heating control parameter.

[0226] It can be seen that implementation Figure 4 The described glass heating control device based on left-right symmetrical temperature prediction can determine and output the heating control parameters of the target area and the area to be predicted in parallel, which is conducive to achieving faster response and precise control of the glass heating process, and is conducive to reducing additional control modules and complex data transmission paths, thereby simplifying the structure and complexity of the entire glass heating control system.

[0227] Example 4

[0228] See also Figure 5 , Figure 5 This is a structural diagram of another glass heating control device based on bilaterally symmetrical temperature prediction disclosed in an embodiment of the present invention. Figure 5 As shown, the glass heating control device based on bilaterally symmetrical temperature prediction may include:

[0229] A memory 401 storing executable program code;

[0230] a processor 402 coupled to the memory 401;

[0231] 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 bilaterally symmetrical temperature prediction described in the first embodiment of the present invention or the second embodiment of the present invention.

[0232] Example 5

[0233] 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 of the glass heating control method based on bilaterally symmetrical temperature prediction described in Example 1 or Example 2 of the present invention.

[0234] Example 6

[0235] 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 is operable to enable a computer to execute the steps of the glass heating control method based on bilaterally symmetrical temperature prediction described in Example 1 or Example 2.

[0236] The device embodiments described above are merely illustrative, wherein the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Those skilled in the art can understand and implement the present invention without inventive effort.

[0237] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the above technical solution, in essence, or the portion that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, including 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 programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0238] Finally, it should be noted that the glass heating control method and device based on bilaterally symmetrical temperature prediction disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A glass heating control method based on bilaterally symmetrical temperature prediction, characterized in that: The method comprises: When the glass is on a roller conveyor in a heating furnace, a center line of the roller conveyor is determined, and based on the center line, position parameters corresponding to a plurality of acquisition points in a target area of ​​the glass are acquired; the target area includes a left area of ​​the glass located to the left of the center line or a right area of ​​the glass located to the right of the center line; Determining a regional symmetry relationship between the target area and a region to be predicted of the glass corresponding to the target area; the region to be predicted of the glass corresponding to the target area is a right region of the glass symmetrical to a left region of the glass, or a left region of the glass symmetrical to the right region of the glass, and the regional symmetry relationship includes a vertical symmetry relationship or a central symmetry relationship; Determining, from the area to be predicted, a point to be predicted corresponding to each of the collection points according to the position parameters corresponding to each of the collection points and the regional symmetry relationship; Acquiring the temperature parameters of each of the collection points, and predicting the temperature parameters of all the points to be predicted based on the temperature parameters of all the collection points; 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 a heating operation on the glass according to the heating control parameters.

2. The glass heating control method based on bilaterally symmetrical temperature prediction according to claim 1, characterized in that: The step of predicting the temperature parameters of all the points to be predicted based on the temperature parameters of all the collected points includes: Determining device parameters of a first heating device in the heating furnace corresponding to the target area; the device parameters of the first heating device include a device operating power parameter of the first heating device and a relative position parameter between the first heating device and each of the collection points; Determining device parameters of a second heating device in the heating furnace corresponding to the area to be predicted; the device parameters of the second heating device include a device operating power parameter of the second heating device and a relative position parameter between the second heating device and each of the points to be predicted; The temperature parameters of all the points to be predicted are predicted according to the device parameters of the first heating device, the device parameters of the second heating device, and the temperature parameters of all the acquisition points.

3. The glass heating control method based on bilaterally symmetrical temperature prediction according to claim 2, characterized in that: The predicting the temperature parameters of all the points to be predicted based on the device parameters of the first heating device, the device parameters of the second heating device, and the temperature parameters of all the collection points includes: Determining roller parameters of a first zone roller conveyor corresponding to the target zone in the heating furnace; the roller parameters of the first zone roller conveyor include at least one of a running speed parameter of the first zone roller conveyor, a zone contact parameter between the first zone roller conveyor and the target zone, and a roller spacing parameter of the first zone roller conveyor; Determining roller parameters of a second-area roller conveyor in the heating furnace corresponding to the area to be predicted; the roller parameters of the second-area roller conveyor include at least one of a running speed parameter of the second-area roller conveyor, a regional contact parameter between the second-area roller conveyor and the area to be predicted, and a roller spacing parameter of the second-area roller conveyor; The temperature parameters of all the points to be predicted are predicted based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all the collection points.

4. The glass heating control method based on bilaterally symmetrical temperature prediction according to claim 3, characterized in that: The predicting the temperature parameters of all the points to be predicted based on the device parameters of the first heating device, the device parameters of the second heating device, the roller parameters of the first area roller, the roller parameters of the second area roller, and the temperature parameters of all the collection points includes: Determining the hot air flow condition in the target area according to the device parameters of the first heating device and the roller parameters of the first area roller; Analyzing the thermal airflow-temperature distribution relationship in the target area according to the thermal airflow condition in the target area and the temperature parameters of all the collection points; Determining the hot air flow condition of the area to be predicted based on the device parameters of the second heating device and the roller parameters of the second area roller; The temperature parameters of all the points to be predicted are predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area.

5. The glass heating control method based on bilaterally symmetrical temperature prediction according to claim 4, characterized in that: Before predicting the temperature parameters of all the points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area, the method further includes: Acquire environmental parameters of the first heating furnace external environment corresponding to the target area; the environmental parameters of the first heating furnace external environment include at least one of an environmental temperature parameter, an environmental humidity parameter, and an environmental airflow parameter of the first heating furnace external environment; Acquire environmental parameters of the external environment of the second heating furnace corresponding to the area to be predicted; the environmental parameters of the external environment of the second heating furnace include at least one of an environmental temperature parameter, an environmental humidity parameter, and an environmental airflow parameter of the external environment of the second heating furnace; determining an environmental difference between the external environment of the first heating furnace and the external environment of the second heating furnace based on environmental parameters of the external environment of the first heating furnace and environmental parameters of the external environment of the second heating furnace; The step of predicting the temperature parameters of all the points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area includes: The temperature parameters of all the points to be predicted are predicted based on the environmental differences, the thermal airflow conditions in the area to be predicted, and the thermal airflow-temperature distribution relationship in the target area.

6. The glass heating control method based on bilaterally symmetrical temperature prediction according to claim 4, characterized in that: Before predicting the temperature parameters of all the points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area, the method further includes: Acquiring surface parameters of the target area; the surface parameters of the target area include at least one of surface coating parameters, surface defect parameters, and surface concave-convex conditions of the target area; Acquiring surface parameters of the area to be predicted; the surface parameters of the area to be predicted include at least one of surface coating parameters, surface defect parameters, and surface concave-convex conditions of the area to be predicted; Determining surface differences between the target area and the area to be predicted based on surface parameters of the target area and surface parameters of the area to be predicted; The step of predicting the temperature parameters of all the points to be predicted based on the thermal airflow conditions in the area to be predicted and the thermal airflow-temperature distribution relationship in the target area includes: The temperature parameters of all the points to be predicted are predicted based on the surface difference, the thermal airflow condition of the area to be predicted, and the thermal airflow-temperature distribution relationship of the target area.

7. The glass heating control method based on bilaterally symmetrical temperature prediction according to any one of claims 1 to 6, characterized in that: The determining of 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 includes: Obtaining target parameters of the glass; the target parameters include at least one of glass material parameters, glass thickness parameters, and glass processing requirement parameters; Determining the expected temperature parameters of all the collection points and the expected temperature parameters of all the points to be predicted based on the target parameters; determining an actual heating difference of the target area based on the expected temperature parameters of all the collection points and the temperature parameters of all the collection points, and determining an actual heating difference of the area to be predicted based on the expected temperature parameters of all the points to be predicted and the temperature parameters of all the points to be predicted; The heating control parameters of the glass are determined according to the actual heating difference of the target area and the actual heating difference of the area to be predicted.

8. The glass heating control method based on bilaterally symmetrical temperature prediction according to claim 1, characterized in that: After obtaining the temperature parameter of each collection point, the method further includes: Determining a first heating control parameter corresponding to the output control module in the target area according to the temperature parameters of all the acquisition points; According to the first heating control parameter corresponding to the output control module, and through the output control module, a second heating control parameter of the area to be predicted is determined in parallel; The heating furnace is controlled to perform a heating operation on the glass according to the first heating control parameter and the second heating control parameter.

9. A glass heating control device based on bilaterally symmetrical temperature prediction, characterized in that: The device comprises: an acquisition module, configured to determine a center line of the roller conveyor when the glass is on the roller conveyor in the heating furnace, and based on the center line, acquire position parameters corresponding to a plurality of acquisition points in a target area of ​​the glass; the target area includes a left area of ​​the glass located to the left of the center line or a right area of ​​the glass located to the right of the center line; a determination module, configured to determine a regional symmetry relationship between the target area and a region to be predicted of the glass corresponding to the target area; the region to be predicted of the glass corresponding to the target area is a right region of the glass symmetrical with respect to a left region of the glass, or a left region of the glass symmetrical with respect to a right region of the glass, and the regional symmetry relationship includes a vertical symmetry relationship or a central symmetry relationship; and determine, from the region to be predicted, a point to be predicted corresponding to each collection point based on a position parameter corresponding to each collection point and the regional symmetry relationship; The acquisition module is further used to obtain the temperature parameters of each collection point; A prediction module, configured to predict the temperature parameters of all the points to be predicted based on the temperature parameters of all the acquisition points; The determination module is further configured 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.

10. A glass heating control device based on bilaterally 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 bilaterally symmetrical temperature prediction as described in any one of claims 1 to 8.

11. 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 bilaterally symmetrical temperature prediction according to any one of claims 1 to 8.

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