Edge bonding glue electrode glue breaking voice alarm system for gypsum board production

Abstract

The invention relates to the technical field of gypsum board production, and particularly discloses an edge bonding glue electrode glue breaking voice alarm system for gypsum board production, and the system comprises an electrode detection module which is used for correcting surface resistance data according to a temperature value of an edge bonding glue path, and obtaining the corrected surface resistance data; the quality evaluation module is used for determining the deformation quantity of the current gypsum board edge bonding glue according to the corrected surface resistance data, and determining the glue output quality coefficient of the edge bonding glue according to the deformation quantity of the current gypsum board edge bonding glue; the glue breaking evaluation module is used for determining the deformation quantity change trend of the edge bonding glue according to the glue outlet quality coefficient and determining a glue outlet condition evaluation coefficient according to the deformation quantity change trend of the edge bonding glue; and the voice alarm module is used for determining a glue breaking danger level of the edge bonding glue according to the glue outlet condition evaluation coefficient and carrying out glue breaking voice alarm according to the glue breaking danger level. The device can quickly give an alarm when the edge bonding glue is broken in the gypsum board production process, so that the production quality of products is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of gypsum board production, and more specifically, to a glue break voice alarm system for edge glue electrodes used in gypsum board production. Background Art

[0002] With the rapid development of my country's economy, gypsum board, as the main product of new building materials, has been rapidly promoted and applied in the building decoration industry. Many companies are also actively planning to adopt domestic or foreign advanced technology and equipment to invest in gypsum board projects. This will not only promote the technological progress of my country's gypsum board industry, promote the deep processing of gypsum resources, and alleviate the situation of insufficient supply in the gypsum board market, but also play a very important role in adjusting the product structure of domestic wall materials and promoting the development of my country's new building materials industry.

[0003] In the production process of gypsum board, the uniform application and continuous supply of adhesive are crucial to the quality of gypsum board. At present, adhesive breakage often occurs on the production line due to the fast production pace and continuous operation of equipment. Once adhesive breakage occurs, if it is not discovered and handled in time, it will cause the edge of the gypsum board to be loosely adhered, affecting the overall strength and appearance quality of the product. In the prior art, the detection of adhesive breakage is limited to detection by staff observation, which has low detection efficiency and is prone to negligence, affecting production efficiency and product quality. Summary of the invention

[0004] The present invention provides a glue break voice alarm system for edge glue electrodes used in gypsum board production, which is used to solve the problem of low glue break detection efficiency of gypsum boards in the prior art, and comprises:

[0005] The electrode detection module is used to obtain the surface resistance data of the edge glue path in the gypsum board production process, and correct the surface resistance data according to the temperature value of the edge glue path to obtain the corrected surface resistance data;

[0006] A quality assessment module is used to determine the deformation amount of the current gypsum board edge adhesive according to the corrected surface resistance data, and determine the glue quality coefficient of the edge adhesive according to the deformation amount of the current gypsum board edge adhesive;

[0007] A glue breaking assessment module is used to determine the deformation variation trend of the edge glue according to the glue quality coefficient, and to determine the glue discharge situation assessment coefficient according to the deformation variation trend of the edge glue;

[0008] The voice alarm module is used to determine the glue breakage risk level of the edge glue according to the glue discharge situation assessment coefficient, and to issue a glue breakage voice alarm according to the glue breakage risk level.

[0009] Furthermore, the electrode detection module corrects the surface resistance data according to the temperature value of the edge glue path, including:

[0010] Obtain the temperature value of the edge glue path, and calculate the difference between the edge glue path temperature and the average value of the edge glue path temperature in the historical gypsum board production process;

[0011] The difference between the edge glue path temperature and the average edge glue path temperature in the historical gypsum board production process is normalized to obtain the surface resistance correction factor;

[0012] The surface resistance correction factor is multiplied by the surface resistance data to obtain the corrected surface resistance data.

[0013] Furthermore, the quality assessment module determines the deformation amount of the current gypsum board edge adhesive according to the corrected surface resistance data, including:

[0014] Acquire the surface resistance change data of the edge glue path in the historical gypsum board production process, and determine the correlation coefficient between the surface resistance data and the edge glue shape variable according to the surface resistance change data of the edge glue path in the historical gypsum board production process and the corresponding edge glue shape variable change data;

[0015] The deformation variable evaluation coefficient is determined according to the correlation coefficient between the surface resistance data and the deformation variable of the edge adhesive, and the deformation variable of the current gypsum board edge adhesive is determined according to the corrected surface resistance data and the deformation variable evaluation coefficient.

[0016] Further, the method of determining the deformation amount of the current gypsum board edge adhesive according to the corrected surface resistance data and the deformation amount evaluation coefficient includes:

[0017] Determine historical surface resistance data and corresponding edge glue shape variables according to surface resistance change data of edge glue paths during gypsum board production;

[0018] A training sample set is established according to historical surface resistance data and corresponding adhesive edge shape variables, an initial shape variable evaluation model is established according to the training sample set, and the initial shape variable evaluation model is trained to obtain a trained shape variable evaluation model;

[0019] Inputting the corrected surface resistance data into the trained deformation variable evaluation model to obtain an initial deformation variable evaluation value;

[0020] The preset standard correlation coefficient is obtained, the ratio of the deformation variable evaluation coefficient to the preset standard correlation coefficient is calculated, and the ratio of the deformation variable evaluation coefficient to the preset standard correlation coefficient is multiplied by the initial deformation variable evaluation value to obtain the deformation variable of the current gypsum board edge adhesive.

[0021] Furthermore, the quality assessment module determines the glue quality coefficient of the edge glue according to the deformation amount of the current gypsum board edge glue, including:

[0022] Determine the deformation variation data of the edge adhesive within a preset period according to the real-time deformation variation of the current gypsum board edge adhesive, and draw a deformation variation curve according to the deformation variation data of the edge adhesive within the preset period;

[0023] Obtain a preset sliding time window, and segment the shape variable change curve according to the preset sliding time window to obtain a plurality of sub-shape variable change curves;

[0024] Counting the average value of each sub-shape variable change curve, and drawing the average value change curve according to the average value of each sub-shape variable change curve;

[0025] Obtain the absolute values ​​of the slopes of adjacent average values ​​in the average value change curve, calculate the sum of the absolute values ​​of the slopes of adjacent average values ​​in the average value change curve, and determine the glue quality coefficient according to the sum of the absolute values ​​of the slopes of adjacent average values ​​in the average value change curve.

[0026] Furthermore, the glue breaking assessment module determines the deformation variation trend of the edge glue according to the glue output quality coefficient, including:

[0027] Obtaining a deformation variable change curve of the current edge glue, performing curve fitting on the deformation variable change curve of the current edge glue, and obtaining an initial deformation variable curve fitting equation;

[0028] Obtaining the curve fitting coefficient of the initial deformation variable curve fitting equation, and correcting the curve fitting coefficient according to the glue quality coefficient;

[0029] The final deformation variable curve fitting equation is determined according to the corrected curve fitting coefficient, and the deformation variable prediction change curve is determined according to the final deformation variable curve fitting equation to obtain the deformation variable change trend of the edge adhesive.

[0030] Furthermore, the correction of the curve fitting coefficient according to the glue quality coefficient includes:

[0031] The curve fitting coefficient is corrected according to the curve fitting coefficient correction formula, and the curve fitting coefficient correction formula is specifically:

[0032]

[0033] Among them, K α is the corrected curve fitting coefficient, K0 is the curve fitting coefficient of the initial deformation variable curve fitting equation, Q α is the glue quality coefficient, Q0 is the preset allowable glue quality coefficient, R is the preset range coefficient, and exp is the natural exponential function.

[0034] Furthermore, the glue breaking assessment module determines the glue out situation assessment coefficient according to the deformation variation trend of the edge glue, including:

[0035] Obtain a preset rolling time window, and segment the shape variable prediction change curve according to the preset rolling time window to obtain a sub-shape variable prediction change curve;

[0036] The slope values ​​of the predicted change curves of each sub-shape variable are counted, and the evaluation coefficient of the glue discharge situation is determined according to the slope values ​​of the predicted change curves of each sub-shape variable.

[0037] Furthermore, the voice alarm module determines the glue breaking risk level of the edge glue according to the glue discharge situation assessment coefficient, including:

[0038] Obtaining a preset allowable glue discharge situation assessment coefficient, calculating a difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient, and determining whether the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is greater than a first preset threshold value;

[0039] If the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is greater than the first preset threshold value, the preset first level is set as the glue breaking risk level;

[0040] If the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is less than or equal to the first preset threshold, then determining whether the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is greater than the second preset threshold;

[0041] If the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is greater than the second preset threshold value, the preset second level is set as the glue breaking risk level;

[0042] If the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is less than or equal to the second preset threshold, the preset third level is set as the glue breaking risk level.

[0043] Furthermore, the voice alarm module performs a voice alarm of glue breaking according to the glue breaking risk level, including:

[0044] If the current glue break danger level is the preset first level, a serious glue break voice alarm will be issued;

[0045] If the current glue break danger level is the preset second level, a glue break danger voice prompt will be given;

[0046] If the current glue break danger level is the preset third level, the glue break voice alarm will not be performed.

[0047] The beneficial effects of the present invention are:

[0048] By applying the above technical scheme, the present invention can detect the breakage of the edge glue in a very short time and issue a voice alarm through electrode detection and intelligent analysis of the edge glue path, which greatly shortens the time interval from the occurrence of breakage to the discovery and processing, effectively reduces the production of defective products caused by breakage, and improves the stability and reliability of the gypsum board production process. The voice alarm method is intuitive and easy to understand. The staff does not need to keep an eye on the detection equipment all the time. The breakage information can be received and processed in time at various locations in the workshop, thereby improving production efficiency and product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0050] Figure 1 The overall structure diagram of a glue breaking voice alarm system for edge glue electrodes used in gypsum board production proposed in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0052] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0053] The present application embodiment provides a voice alarm system for edge glue electrode breakage in gypsum board production, such as Figure 1 As shown, including:

[0054] The electrode detection module is used to obtain the surface resistance data of the edge glue path in the gypsum board production process, and correct the surface resistance data according to the temperature value of the edge glue path to obtain the corrected surface resistance data; the quality assessment module is used to determine the deformation of the current gypsum board edge glue according to the corrected surface resistance data, and determine the glue output quality coefficient of the edge glue according to the deformation of the current gypsum board edge glue; the glue break assessment module is used to determine the deformation change trend of the edge glue according to the glue output quality coefficient, and determine the glue output situation assessment coefficient according to the deformation change trend of the edge glue; the voice alarm module is used to determine the glue break risk level of the edge glue according to the glue output situation assessment coefficient, and issue a glue break voice alarm according to the glue break risk level.

[0055] In this embodiment, a detection electrode is installed on a critical path for the edge glue to be discharged during the gypsum board production process. The detection electrode detects the surface resistance data of the edge glue path, thereby calculating the corresponding edge glue shape variable. The glue discharge quality is evaluated and the shape variable change trend is predicted based on the edge glue shape variable, thereby obtaining the glue break hazard level. A glue break voice alarm is issued based on the glue break hazard level, so that the staff can receive and process the alarm information in time to ensure production efficiency and product quality.

[0056] In some embodiments of the present application, the electrode detection module corrects the surface resistance data according to the temperature value of the edge glue path, including: obtaining the temperature value of the edge glue path, calculating the difference between the edge glue path temperature and the average temperature of the edge glue path in the historical gypsum board production process; normalizing the difference between the edge glue path temperature and the average temperature of the edge glue path in the historical gypsum board production process to obtain a surface resistance correction coefficient; multiplying the surface resistance correction coefficient by the surface resistance data to obtain corrected surface resistance data.

[0057] In this embodiment, the surface resistance data is corrected by the temperature value of the edge glue path to prevent the temperature from affecting the measurement of the surface resistance data.

[0058] In some embodiments of the present application, the quality assessment module determines the deformation amount of the current gypsum board edge glue based on the corrected surface resistance data, including: obtaining the surface resistance change data of the edge glue path in the historical gypsum board production process, and determining the correlation coefficient between the surface resistance data and the edge glue shape variable based on the surface resistance change data of the edge glue path in the historical gypsum board production process and the corresponding edge glue shape variable change data; determining the deformation variable evaluation coefficient based on the correlation coefficient between the surface resistance data and the edge glue shape variable, and determining the deformation amount of the current gypsum board edge glue based on the corrected surface resistance data and the deformation variable evaluation coefficient.

[0059] In this embodiment, the shape variable evaluation coefficient is obtained by using the correlation coefficient between the surface resistance change data of the edge glue path in the historical production process of the gypsum board and the corresponding edge glue shape variable change data, so that the edge glue shape variable corresponding to the currently corrected surface resistance data is evaluated through the shape variable evaluation coefficient.

[0060] In some embodiments of the present application, the method of determining the deformation variable of the current gypsum board edge glue according to the corrected surface resistance data and the deformation variable evaluation coefficient includes: determining the historical surface resistance data and the corresponding edge glue shape variable according to the surface resistance change data of the edge glue path during the gypsum board production process; establishing a training sample set according to the historical surface resistance data and the corresponding edge glue shape variable, establishing an initial deformation variable evaluation model according to the training sample set and training the initial deformation variable evaluation model to obtain a trained deformation variable evaluation model; inputting the corrected surface resistance data into the trained deformation variable evaluation model to obtain an initial deformation variable evaluation value; obtaining a preset standard correlation coefficient, calculating the ratio of the deformation variable evaluation coefficient to the preset standard correlation coefficient, multiplying the ratio of the deformation variable evaluation coefficient to the preset standard correlation coefficient by the initial deformation variable evaluation value to obtain the deformation variable of the current gypsum board edge glue.

[0061] In this embodiment, a deformation variable evaluation model is established to evaluate the deformation variable of the edge glue corresponding to the corrected surface resistance data, and the initial deformation variable evaluation value is corrected by the deformation variable evaluation coefficient to obtain the accurate deformation variable of the gypsum board edge glue.

[0062] In some embodiments of the present application, the quality assessment module determines the glue output quality coefficient of the edge glue according to the deformation of the current gypsum board edge glue, including: determining the deformation change data of the edge glue within a preset period according to the real-time deformation of the current gypsum board edge glue, and drawing a deformation change curve according to the deformation change data of the edge glue within the preset period; obtaining a preset sliding time window, and dividing the deformation change curve according to the preset sliding time window to obtain a plurality of sub-shape change curves; calculating the average value of each sub-shape change curve, and drawing a mean value change curve according to the average value of each sub-shape change curve; obtaining the absolute value of the slope of adjacent mean values ​​in the mean value change curve, calculating the sum of the absolute values ​​of the slope of adjacent mean values ​​in the mean value change curve, and determining the glue output quality coefficient according to the sum of the absolute values ​​of the slope of adjacent mean values ​​in the mean value change curve.

[0063] In this embodiment, the fluctuation of the shape variable of the edge glue is determined by drawing a shape variable variation curve, and the glue output quality coefficient is obtained.

[0064] In some embodiments of the present application, the glue breaking assessment module determines the deformation variable change trend of the edge glue according to the glue output quality coefficient, including: obtaining the deformation variable change curve of the current edge glue, performing curve fitting on the deformation variable change curve of the current edge glue, and obtaining an initial deformation variable curve fitting equation; obtaining the curve fitting coefficient of the initial deformation variable curve fitting equation, and correcting the curve fitting coefficient according to the glue output quality coefficient; determining the final deformation variable curve fitting equation according to the corrected curve fitting coefficient, determining the deformation variable prediction change curve according to the final deformation variable curve fitting equation, and obtaining the deformation variable change trend of the edge glue.

[0065] In some embodiments of the present application, the correction of the curve fitting coefficient according to the glue quality coefficient includes: correcting the curve fitting coefficient according to a curve fitting coefficient correction formula, wherein the curve fitting coefficient correction formula is specifically:

[0066]

[0067] Among them, K α is the corrected curve fitting coefficient, K0 is the curve fitting coefficient of the initial deformation variable curve fitting equation, Q α is the glue quality coefficient, Q0 is the preset allowable glue quality coefficient, R is the preset range coefficient, and exp is the natural exponential function.

[0068] In this embodiment, the deformation variable change curve is fitted based on the least squares method, the deformation variable change curve is fitted into a linear equation, and the curve fitting coefficient of the linear equation is corrected by the glue quality coefficient to obtain the deformation variable prediction change curve, thereby realizing the prediction of the deformation variable change trend of the edge glue.

[0069] In some embodiments of the present application, the glue breaking assessment module determines the glue out situation assessment coefficient according to the deformation variable change trend of the edge glue, including: obtaining a preset rolling time window, dividing the deformation variable prediction change curve according to the preset rolling time window, and obtaining the sub-shape variable prediction change curve; counting the slope values ​​of each sub-shape variable prediction change curve, and determining the glue out situation assessment coefficient according to the slope values ​​of each sub-shape variable prediction change curve.

[0070] In this embodiment, the glue discharge condition is evaluated by the slope value of the sub-shape variable prediction change curve. The lower the slope value, the worse the glue discharge condition.

[0071] In some embodiments of the present application, the voice alarm module determines the glue breaking risk level of the edge glue according to the glue situation assessment coefficient, including: obtaining a preset allowable glue situation assessment coefficient, calculating the difference between the preset allowable glue situation assessment coefficient and the glue situation assessment coefficient, and judging whether the difference between the preset allowable glue situation assessment coefficient and the glue situation assessment coefficient is greater than a first preset threshold value; if the difference between the preset allowable glue situation assessment coefficient and the glue situation assessment coefficient is greater than the first preset threshold value, setting the preset first level as the glue breaking risk level; if the difference between the preset allowable glue situation assessment coefficient and the glue situation assessment coefficient is less than or equal to the first preset threshold value, judging whether the difference between the preset allowable glue situation assessment coefficient and the glue situation assessment coefficient is greater than the second preset threshold value; if the difference between the preset allowable glue situation assessment coefficient and the glue situation assessment coefficient is greater than the second preset threshold value, setting the preset second level as the glue breaking risk level; if the difference between the preset allowable glue situation assessment coefficient and the glue situation assessment coefficient is less than or equal to the second preset threshold value, setting the preset third level as the glue breaking risk level.

[0072] In this embodiment, the glue breaking risk level is determined by the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient. The larger the difference, the higher the corresponding risk level rank.

[0073] In some embodiments of the present application, the voice alarm module performs a glue break voice alarm according to the glue break risk level, including: if the current glue break risk level is the preset first level, a serious glue break voice alarm is performed; if the current glue break risk level is the preset second level, a glue break risk voice prompt is performed; if the current glue break risk level is the preset third level, no glue break voice alarm is performed.

[0074] In this embodiment, the glue break alarm is performed through different intervals of the glue break danger level, so that a rapid alarm is performed when the edge glue breaks during the gypsum board production process, thereby ensuring the product production quality.

[0075] By applying the above technical scheme, the present invention uses an electrode detection module to obtain the surface resistance data of the edge glue path in the gypsum board production process, and corrects the surface resistance data according to the temperature value of the edge glue path to obtain the corrected surface resistance data; a quality assessment module is used to determine the deformation of the current gypsum board edge glue according to the corrected surface resistance data, and determine the glue quality coefficient of the edge glue according to the deformation of the current gypsum board edge glue; a glue break assessment module is used to determine the deformation change trend of the edge glue according to the glue quality coefficient, and determine the glue situation assessment coefficient according to the deformation change trend of the edge glue; a voice alarm module is used to determine the glue break risk level of the edge glue according to the glue situation assessment coefficient, and perform a glue break voice alarm according to the glue break risk level. It can quickly alarm when the edge glue breaks during the gypsum board production process, ensuring product production quality.

[0076] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0077] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A voice alarm system for glue electrode breakage in gypsum board production, characterized in that: include: The electrode detection module is used to obtain the surface resistance data of the edge glue path in the gypsum board production process, and correct the surface resistance data according to the temperature value of the edge glue path to obtain the corrected surface resistance data; A quality assessment module is used to determine the deformation amount of the current gypsum board edge adhesive according to the corrected surface resistance data, and determine the glue quality coefficient of the edge adhesive according to the deformation amount of the current gypsum board edge adhesive; The glue breaking assessment module is used to determine the deformation variation trend of the edge glue according to the glue quality coefficient, and determine the glue discharge situation assessment coefficient according to the deformation variation trend of the edge glue; The voice alarm module is used to determine the glue breakage risk level of the edge glue according to the glue discharge situation assessment coefficient, and to issue a glue breakage voice alarm according to the glue breakage risk level.

2. The edge glue electrode break voice alarm system for gypsum board production according to claim 1 is characterized in that: The electrode detection module corrects the surface resistance data according to the temperature value of the edge glue path, including: Obtain the temperature value of the edge glue path, and calculate the difference between the edge glue path temperature and the average value of the edge glue path temperature in the historical gypsum board production process; The difference between the edge glue path temperature and the average edge glue path temperature in the historical gypsum board production process is normalized to obtain the surface resistance correction factor; The surface resistance correction factor is multiplied by the surface resistance data to obtain the corrected surface resistance data.

3. The edge glue electrode breakage voice alarm system for gypsum board production according to claim 1 is characterized in that: The quality assessment module determines the deformation amount of the current gypsum board edge adhesive according to the corrected surface resistance data, including: Acquire the surface resistance change data of the edge glue path in the historical gypsum board production process, and determine the correlation coefficient between the surface resistance data and the edge glue shape variable according to the surface resistance change data of the edge glue path in the historical gypsum board production process and the corresponding edge glue shape variable change data; The deformation variable evaluation coefficient is determined according to the correlation coefficient between the surface resistance data and the deformation variable of the edge adhesive, and the deformation variable of the current gypsum board edge adhesive is determined according to the corrected surface resistance data and the deformation variable evaluation coefficient.

4. The edge glue electrode breakage voice alarm system for gypsum board production according to claim 3 is characterized in that: The method of determining the deformation amount of the current gypsum board edge adhesive according to the corrected surface resistance data and the deformation amount evaluation coefficient includes: Determine historical surface resistance data and corresponding edge glue shape variables according to surface resistance change data of edge glue paths during gypsum board production; A training sample set is established according to historical surface resistance data and corresponding adhesive edge shape variables, an initial shape variable evaluation model is established according to the training sample set, and the initial shape variable evaluation model is trained to obtain a trained shape variable evaluation model; Inputting the corrected surface resistance data into the trained deformation variable evaluation model to obtain an initial deformation variable evaluation value; The preset standard correlation coefficient is obtained, the ratio of the deformation variable evaluation coefficient to the preset standard correlation coefficient is calculated, and the ratio of the deformation variable evaluation coefficient to the preset standard correlation coefficient is multiplied by the initial deformation variable evaluation value to obtain the deformation variable of the current gypsum board edge adhesive.

5. The edge glue electrode breakage voice alarm system for gypsum board production according to claim 1 is characterized in that: The quality assessment module determines the glue quality coefficient of the edge glue according to the deformation amount of the current gypsum board edge glue, including: Determine the deformation variation data of the edge adhesive within a preset period according to the real-time deformation variation of the current gypsum board edge adhesive, and draw a deformation variation curve according to the deformation variation data of the edge adhesive within the preset period; Obtain a preset sliding time window, and segment the shape variable change curve according to the preset sliding time window to obtain a plurality of sub-shape variable change curves; Counting the average value of each sub-shape variable change curve, and drawing the average value change curve according to the average value of each sub-shape variable change curve; Obtain the absolute values ​​of the slopes of adjacent average values ​​in the average value change curve, calculate the sum of the absolute values ​​of the slopes of adjacent average values ​​in the average value change curve, and determine the glue quality coefficient according to the sum of the absolute values ​​of the slopes of adjacent average values ​​in the average value change curve.

6. The edge glue electrode breakage voice alarm system for gypsum board production according to claim 1 is characterized in that: The glue breaking assessment module determines the deformation variation trend of the edge glue according to the glue quality coefficient, including: Obtaining a deformation variable change curve of the current edge glue, performing curve fitting on the deformation variable change curve of the current edge glue, and obtaining an initial deformation variable curve fitting equation; Obtaining the curve fitting coefficient of the initial deformation variable curve fitting equation, and correcting the curve fitting coefficient according to the glue quality coefficient; The final deformation variable curve fitting equation is determined according to the corrected curve fitting coefficient, and the deformation variable prediction change curve is determined according to the final deformation variable curve fitting equation to obtain the deformation variable change trend of the edge adhesive.

7. The edge glue electrode breakage voice alarm system for gypsum board production according to claim 6 is characterized in that: The method of correcting the curve fitting coefficient according to the glue quality coefficient includes: The curve fitting coefficient is corrected according to the curve fitting coefficient correction formula, and the curve fitting coefficient correction formula is specifically: Among them, K α is the corrected curve fitting coefficient, K0 is the curve fitting coefficient of the initial deformation variable curve fitting equation, Q α is the glue quality coefficient, Q0 is the preset allowable glue quality coefficient, R is the preset range coefficient, and exp is the natural exponential function.

8. The edge glue electrode breakage voice alarm system for gypsum board production according to claim 7 is characterized in that: The glue breaking assessment module determines the glue discharge situation assessment coefficient according to the deformation variation trend of the edge glue, including: Obtain a preset rolling time window, and segment the shape variable prediction change curve according to the preset rolling time window to obtain a sub-shape variable prediction change curve; The slope values ​​of the predicted change curves of each sub-shape variable are counted, and the evaluation coefficient of the glue discharge situation is determined according to the slope values ​​of the predicted change curves of each sub-shape variable.

9. The edge glue electrode breakage voice alarm system for gypsum board production according to claim 1 is characterized in that: The voice alarm module determines the glue breaking risk level of the edge glue according to the glue discharge situation assessment coefficient, including: Obtaining a preset allowable glue discharge situation assessment coefficient, calculating a difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient, and determining whether the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is greater than a first preset threshold value; If the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is greater than the first preset threshold, the preset first level is set as the glue breaking risk level; If the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is less than or equal to the first preset threshold, then determining whether the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is greater than the second preset threshold; If the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is greater than the second preset threshold value, the preset second level is set as the glue breaking risk level; If the difference between the preset allowable glue discharge situation assessment coefficient and the glue discharge situation assessment coefficient is less than or equal to the second preset threshold, the preset third level is set as the glue breaking risk level.

10. The edge glue electrode breakage voice alarm system for gypsum board production according to claim 9, characterized in that: The voice alarm module performs a voice alarm for glue breaking according to the glue breaking risk level, including: If the current glue break danger level is the preset first level, a serious glue break voice alarm will be issued; If the current glue break danger level is the preset second level, a glue break danger voice prompt will be given; If the current glue break danger level is the preset third level, the glue break voice alarm will not be performed.

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