A control system for a ceramic automatic glazing machine

Abstract

The application discloses a kind of ceramic automatic glazing machine control systems, it is related to ceramic automatic glazing machine technical field, by setting glazing data collection module, the basic data of each ceramic cup is collected in advance;Setting weighing module is weighed for each ceramic cup before and after glazing for ceramic cup glazing in automatic glazing machine;Setting weight verification module is compared according to the weight change before and after glazing of ceramic cup with theoretical weight change, whether the glazing of ceramic cup fails is judged;Setting finished product sample collection module, the qualified finished product sample of each category ceramic cup is collected in advance;Setting finished product image capture module, ceramic cup image is obtained from preset angle after glazing of ceramic cup;Setting finished product effect comparison module, the pixel value of ceramic cup finished product sample is compared with the pixel value of actual production ceramic cup, whether ceramic cup is qualified is judged;Solve the problem of automatic identification glazing quality.

Description

Technical Field

[0001] This invention belongs to the field of automatic glazing machines and relates to glazing quality control technology, specifically a control system for an automatic ceramic glazing machine. Background Technology

[0002] Glazing is a crucial process in the production of ceramic cups. With advancements in technology, automatic ceramic glazing machines can now automate the glazing process, significantly reducing manpower and production costs. However, dedicated personnel are still needed to monitor the operation of these machines in real time to prevent defective cups from being produced due to machine malfunctions. Therefore, to further reduce labor costs, it is necessary to automatically assess the quality of glazed ceramic cups.

[0003] Therefore, a control system for an automatic ceramic glazing machine is proposed. Summary of the Invention

[0004] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a control system for an automatic ceramic glazing machine. This control system includes: a glazing data collection module that pre-collects basic data for each type of ceramic cup; a weighing module that weighs each ceramic cup before and after glazing; a weight verification module that determines whether glazing has failed by comparing the weight change before and after glazing with the theoretical weight change; a finished product sample collection module that pre-collects qualified finished product samples of each type of ceramic cup; a finished product image capture module that acquires images of the ceramic cups from a preset angle after glazing; and a finished product effect comparison module that compares the pixel values ​​of the finished ceramic cup samples with the pixel values ​​of the actual produced ceramic cups to determine whether the ceramic cups are qualified. This solves the problem of automatically identifying glazing quality.

[0005] To achieve the above objectives, an automatic ceramic glazing machine control system is provided according to an embodiment of the first aspect of the present invention, comprising a glazing data collection module, a weighing module, a weight verification module, a finished product sample collection module, a finished product image capture module, a finished product effect comparison module, and a defective product early warning module; wherein, the modules are connected to each other by electrical and / or wireless network means;

[0006] The glazing data collection module is mainly used to collect basic data for each type of ceramic cup in advance.

[0007] The glazing data collection module pre-collects all types of ceramic cups that require glazing; the basic data for each type of ceramic cup includes the area to be glazed, the average thickness of the glaze, and the density of the glaze material, all collected in advance based on actual experience; all ceramic cup types are labeled C; each type of ceramic cup is labeled c; the glazing area of ​​ceramic cup c is labeled Sc, the average glaze thickness is labeled Tc, and the glaze density is labeled Vc; the glazing data collection module sends the collected basic data of the ceramic cups to the weight verification module;

[0008] The weighing module is mainly used to weigh each ceramic cup before and after the automatic glazing machine glazes the ceramic cups.

[0009] The weighing module includes a first weighing device and a second weighing device installed on the automatic glazing machine; before glazing, the ceramic cups are weighed by the first weighing device; after glazing, the glazed ceramic cups are weighed by the second weighing device; each ceramic cup is marked as i; the weight of the ceramic cup measured by the first weighing device is marked as Wi1, and the weight of the ceramic cup measured by the second weighing device is marked as Wi2; the weighing module sends the weights Wi1 and Wi2 to the weight verification module.

[0010] The weight verification module is mainly used to determine whether the glazing of the ceramic cup has failed based on the weight change of the ceramic cup before and after glazing.

[0011] The weight verification module determines whether the glazing of the ceramic cup has failed by including the following steps:

[0012] Step S1: The weight verification module obtains the corresponding glazed area Sc, average glaze thickness Tc, and glaze density Vc of the ceramic cup i according to its type c.

[0013] Step S2: Calculate the theoretical weight increase Wti after glazing the ceramic cup i; the formula for calculating Wti is Wti=Sc*Tc*Vc;

[0014] Step S3: Calculate the actual weight increase Wri after glazing the ceramic cup i; the formula for calculating Wri is Wri = Wi2 - Wi1;

[0015] Step S4: The weight verification module pre-sets a weight difference ratio threshold p based on actual experience; calculates the weight difference ratio Wo between the actual increase in weight of the ceramic cup and the theoretical increase in weight; the formula for calculating Wo is... If Wo is greater than the weight difference ratio threshold p, it indicates that the ceramic cup glazing has failed, and the weight verification module sends a weight warning signal to the defective product warning module.

[0016] The finished product sample collection module is mainly used to collect qualified finished product samples of each category of ceramic cups in advance.

[0017] The finished product sample collection module pre-collects a number of qualified finished products from the finished ceramic cups of each category c; and acquires images of the same size for each ceramic cup from the same preset angle; the finished product sample collection module calculates the average value of each pixel of all images of ceramic cups of each category c; the finished product sample collection module marks the average pixel value of each pixel of the qualified ceramic cup images of each category c as Pcj; where j is each pixel; the finished product sample collection module sends the average pixel value Pcj of each qualified ceramic cup image of each category c to the finished product effect comparison module; and marks the number of all pixels of ceramic cups of each category c as J;

[0018] The finished product image capture module is mainly used to acquire an image of the ceramic cup from a preset angle after the ceramic cup has been glazed.

[0019] The finished product image capture module includes an image capture device fixedly installed in the automatic glazing machine; after the ceramic cups are automatically glazed and their weight is verified by the weight verification module and meets the standard, the image capture device captures image data of each ceramic cup from a preset angle; the finished product image capture module sends the captured image data of each ceramic cup to the finished product effect comparison module;

[0020] The finished product effect comparison module is mainly used to compare the pixel values ​​of the finished ceramic cup sample with the pixel values ​​of the actual produced ceramic cup to determine whether the ceramic cup is qualified.

[0021] The finished product effect comparison module labels the pixel value of each pixel in the ceramic cup i image captured by the finished product image capture module as Pij; calculates the similarity Si between the actual ceramic cup image and the finished product sample image; the calculation method of similarity Si is as follows: The finished product effect comparison module is pre-set with a similarity threshold M based on actual experience. When the similarity Si value is greater than the similarity threshold M, a color warning signal is sent to the defective product warning module.

[0022] The defective product early warning module is mainly used to notify staff to conduct a re-inspection and readjust the glaze in the automatic glazing machine after receiving an early warning signal.

[0023] The defective product early warning module can notify staff via voice reminder or SMS reminder.

[0024] Compared with the prior art, the beneficial effects of the present invention are:

[0025] This invention solves the problem of automatically identifying glazing quality by setting up a glazing data collection module to collect basic data for each type of ceramic cup in advance; setting up a weighing module to weigh each ceramic cup before and after glazing by the automatic glazing machine; setting up a weight verification module to determine whether the glazing of the ceramic cup has failed by comparing the weight change of the ceramic cup before and after glazing with the theoretical weight change; setting up a finished product sample collection module to collect qualified finished product samples of each type of ceramic cup in advance; setting up a finished product image capture module to acquire images of the ceramic cup from a preset angle after glazing; and setting up a finished product effect comparison module to determine whether the ceramic cup is qualified by comparing the pixel value of the finished ceramic cup sample with the pixel value of the actual produced ceramic cup. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation

[0027] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] like Figure 1 As shown, a control system for an automatic ceramic glazing machine includes a glazing data collection module, a weighing module, a weight verification module, a finished product sample collection module, a finished product image capture module, a finished product effect comparison module, and a defective product early warning module; wherein, the various modules are connected to each other via electrical and / or wireless network means.

[0029] The glazing data collection module is mainly used to collect basic data for each type of ceramic cup in advance.

[0030] In a preferred embodiment, the glazing data collection module pre-collects all types of ceramic cups that require glazing; the basic data for each type of ceramic cup includes the area to be glazed, the average thickness of the glaze, and the density of the glaze material required for each type of ceramic cup, collected in advance based on actual experience; all ceramic cup types are labeled C; each type of ceramic cup is labeled c; the glazing area of ​​ceramic cup c is labeled Sc, the average glaze thickness is labeled Tc, and the glaze density is labeled Vc; the glazing data collection module sends the collected basic data of the ceramic cups to the weight verification module;

[0031] The weighing module is mainly used to weigh each ceramic cup before and after the automatic glazing machine glazes the ceramic cups.

[0032] In a preferred embodiment, the weighing module includes a first weighing device and a second weighing device installed on an automatic glazing machine; before glazing, the ceramic cups are weighed by the first weighing device; after glazing, the glazed ceramic cups are weighed by the second weighing device; each ceramic cup is marked as i; the weight of the ceramic cup measured by the first weighing device is marked as Wi1, and the weight of the ceramic cup measured by the second weighing device is marked as Wi2; the weighing module sends the weights Wi1 and Wi2 to the weight verification module;

[0033] It is understandable that during the automatic glazing process of ceramic cups, errors may occur due to insufficient glaze or machine malfunctions. Therefore, it is necessary to verify the glazed products. Considering that when glazing errors occur, the weight of the glaze adhering to the ceramic cup will also deviate, monitoring the weight of the ceramic cup can indirectly determine whether the glazing has failed.

[0034] The weight verification module is mainly used to determine whether the glazing of the ceramic cup has failed based on the weight change of the ceramic cup before and after glazing.

[0035] In a preferred embodiment, the weight verification module determines whether the glazing of the ceramic cup has failed by including the following steps:

[0036] Step S1: The weight verification module obtains the corresponding glazed area Sc, average glaze thickness Tc, and glaze density Vc of the ceramic cup i according to its type c.

[0037] Step S2: Calculate the theoretical weight increase Wti after glazing the ceramic cup i; the formula for calculating Wti is Wti=Sc*Tc*Vc;

[0038] Step S3: Calculate the actual weight increase Wri after glazing the ceramic cup i; the formula for calculating Wri is Wri = Wi2 - Wi1;

[0039] Step S4: The weight verification module pre-sets a weight difference ratio threshold p based on actual experience; calculates the weight difference ratio Wo between the actual increase in weight of the ceramic cup and the theoretical increase in weight; the formula for calculating Wo is... If Wo is greater than the weight difference ratio threshold p, it indicates that the ceramic cup glazing has failed, and the weight verification module sends a weight warning signal to the defective product warning module.

[0040] Understandably, judging the glazing result of the ceramic cup by the weight verification module is an indirect method, mainly serving as a preliminary inspection of the glazed ceramic cup; if further inspection is required, color identification of the glazed ceramic cup is also necessary.

[0041] The finished product sample collection module is mainly used to collect qualified finished product samples of each category of ceramic cups in advance.

[0042] It is understandable that when ceramic cups are photographed from the same angle and the resulting images are the same size, pixels at the same location in images of the same type of ceramic cup will correspond to the same location on the ceramic cup. Therefore, the pixel value at the same pixel in an image of a qualified ceramic cup should be similar to the corresponding pixel value in a ceramic cup sample. To reduce identification errors, the average value of each pixel in multiple qualified finished product samples is selected as the comparison benchmark.

[0043] In a preferred embodiment, the finished product sample collection module pre-collects a number of qualified finished products selected from the finished ceramic cups of each category c; and acquires images of the same size for each ceramic cup from the same preset angle; the finished product sample collection module calculates the average value of each pixel of all images of ceramic cups of each category c; the finished product sample collection module marks the average pixel value of each pixel of the qualified ceramic cup images of each category c as Pcj; where j is each pixel; the finished product sample collection module sends the average pixel value Pcj of each qualified ceramic cup image of each category c to the finished product effect comparison module; and marks the number of all pixels of ceramic cups of each category c as J;

[0044] The finished product image capture module is mainly used to acquire an image of the ceramic cup from a preset angle after the ceramic cup has been glazed.

[0045] In a preferred embodiment, the finished product image capture module includes an image capture device fixedly installed in the automatic glazing machine; after the ceramic cups are automatically glazed and their weight is verified by the weight verification module and meets the standard, the image capture device captures image data of each ceramic cup from a preset angle; the finished product image capture module sends the captured image data of each ceramic cup to the finished product effect comparison module;

[0046] The finished product effect comparison module is mainly used to compare the pixel values ​​of the finished ceramic cup sample with the pixel values ​​of the actual produced ceramic cup to determine whether the ceramic cup is qualified.

[0047] In a preferred embodiment, the finished product effect comparison module labels the pixel value of each pixel in the ceramic cup i image captured by the finished product image capture module as Pij; calculates the similarity Si between the actual ceramic cup image and the finished product sample image; the similarity Si is calculated as follows: The finished product effect comparison module is pre-set with a similarity threshold M based on actual experience. When the similarity Si value is greater than the similarity threshold M, a color warning signal is sent to the defective product warning module.

[0048] The defective product early warning module is mainly used to notify staff to conduct a re-inspection and readjust the glaze in the automatic glazing machine after receiving an early warning signal.

[0049] In a preferred embodiment, the defective product warning module can notify staff via voice reminder or SMS reminder.

[0050] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A control system for an automatic ceramic glazing machine, characterized in that, include: The system includes a glazing data collection module, a weighing module, a weight verification module, a finished product sample collection module, a finished product image capture module, a finished product effect comparison module, and a defective product early warning module; the modules are connected to each other via electrical and / or wireless network. The glazing data collection module is used to collect basic data for each type of ceramic cup in advance; the glazing data collection module sends the collected basic data of the ceramic cup to the weight verification module; The weighing module is used to weigh each ceramic cup before and after the automatic glazing machine glazes the ceramic cup; the weighing module sends the weight of the ceramic cup before glazing and the weight after glazing to the weight verification module. The weighing module includes a first weighing device and a second weighing device installed on the automatic glazing machine; before glazing, the ceramic cup is weighed by the first weighing device; after glazing, the glazed ceramic cup is weighed by the second weighing device; each ceramic cup is marked as i; the weight of the ceramic cup measured by the first weighing device is marked as Wi1, and the weight of the ceramic cup measured by the second weighing device is marked as Wi2. The weight verification module is used to determine whether the glazing of the ceramic cup has failed based on the weight change before and after glazing; when the weight verification module determines that the glazing of the ceramic cup has failed, it sends a weight warning signal to the defective product warning module. The weight verification module determines whether the glazing of the ceramic cup has failed by including the following steps: Step S1: The weight verification module obtains the corresponding glazed area Sc, average glaze thickness Tc, and glaze density Vc of the ceramic cup i according to its type c. Step S2: Calculate the theoretical weight increase Wti after glazing the ceramic cup i; the formula for calculating Wti is as follows: ; Step S3: Calculate the actual weight increase Wri after glazing the ceramic cup i; the formula for calculating Wri is Wri = Wi2 - Wi1; Step S4: The weight verification module pre-sets a weight difference ratio threshold p based on actual experience; calculates the weight difference ratio Wo between the actual increase in weight of the ceramic cup and the theoretical increase in weight; the formula for calculating Wo is... If Wo is greater than the weight difference ratio threshold p, it indicates that the glazing of the ceramic cup has failed, and the weight verification module sends a weight warning signal to the defective product warning module. The finished product sample collection module is used to collect qualified finished product samples of each category of ceramic cups in advance; the finished product sample collection module sends the average value of each pixel of the qualified ceramic cup images of each category to the finished product effect comparison module; Specifically, the finished product sample collection module pre-collects a number of qualified finished products from the finished ceramic cups of each category c; and acquires images of the same size for each ceramic cup from the same preset angle; the finished product sample collection module calculates the average value of all images of ceramic cups of each category c at each pixel; the finished product sample collection module marks the average pixel value of each pixel of the qualified ceramic cup images of each category c as Pcj; where j is each pixel; and marks the number of all pixels of ceramic cups of each category c as J; The finished product image capture module is used to acquire images of ceramic cups from a preset angle after the ceramic cups are glazed; the finished product image capture module sends the captured image data of each ceramic cup to the finished product effect comparison module; The finished product image capture module includes an image capture device fixedly installed in the automatic glazing machine; after the ceramic cups are automatically glazed and the weight is verified by the weight verification module and meets the standard, the image capture device captures image data of each ceramic cup from a preset angle. The finished product effect comparison module is used to compare the pixel values ​​of the finished ceramic cup sample with the pixel values ​​of the actual produced ceramic cup to determine whether the ceramic cup is qualified; when the finished product effect comparison module determines that the glazing of the ceramic cup has failed, it sends a color warning signal to the defective product warning module. The finished product effect comparison module labels the pixel value of each pixel in the ceramic cup i image captured by the finished product image capture module as Pij; calculates the similarity Si between the actual ceramic cup image and the finished product sample image; the calculation method of similarity Si is as follows: The finished product effect comparison module pre-sets a similarity threshold M based on actual experience. When the similarity... When the value is greater than the similarity threshold M, a color warning signal is sent to the defective product warning module; The defective product early warning module is used to notify staff to conduct a re-inspection and readjust the glaze in the automatic glazing machine after receiving an early warning signal.

2. The control system for an automatic ceramic glazing machine according to claim 1, characterized in that, The glazing data collection module pre-collects all types of ceramic cups that need to be glazed; the basic data for each type of ceramic cup includes the area to be glazed, the average thickness of the glaze, and the density of the glaze material required for each type of ceramic cup, which are collected in advance based on actual experience; all ceramic cup types are labeled as C; each type of ceramic cup is labeled as c; the glazing area of ​​ceramic cup c is labeled as Sc, the average thickness of the glaze is labeled as Tc, and the density of the glaze material is labeled as Vc.

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