Intelligent glaze spraying system for pottery jar based on AI technology

Abstract

The invention provides a pottery jar intelligent glaze spraying system based on an AI technology, and relates to the technical field of glaze spraying, and the system comprises the following steps: obtaining a pottery jar green body image based on the AI technology, positioning a pottery jar green body, and determining green body position data of the pottery jar green body; a glaze spraying robot is linked according to the position data of the green body, parameter data of the green body of the pottery jar is obtained, real-time analysis is conducted based on the AI technology, and an intelligent glaze spraying control strategy of the green body of the pottery jar is predicted; an intelligent glaze spraying control instruction is generated according to the intelligent glaze spraying control strategy and issued to a glaze spraying robot, and the glaze spraying robot executes intelligent glaze spraying operation; monitoring the intelligent glaze spraying process in real time, evaluating the intelligent glaze spraying process according to a preset glaze spraying evaluation index, and performing optimization control on the intelligent glaze spraying control strategy according to an evaluation result; and high-efficiency and high-quality intelligent glaze spraying on the pottery jar is realized.

Description

Technical Field

[0001] The present invention relates to the field of glaze spraying technology, and in particular to an AI-based intelligent glaze spraying system for pottery jars. Background Art

[0002] Pottery jars have important application value in the storage process of liquor, which is beneficial to promoting the aging and maturation of liquor. The glaze spraying in the traditional pottery jar production process is usually completed manually or by using a pottery jar intelligent glaze spraying system; however, manual operation has the problems of high risk factor, high labor intensity and the inability to guarantee the quality of glaze spraying; in addition, the existing pottery jar intelligent glaze spraying system has the problems of low work efficiency, low intelligence and the need for manual assistance in the position of the pottery jar embryo.

[0003] Therefore, the present invention provides an intelligent glaze spraying system for pottery jars based on AI technology. Summary of the invention

[0004] The present invention provides an intelligent glaze spraying system for pottery jars based on AI technology. The system obtains the image of the pottery jar raw embryo based on AI technology, locates the pottery jar raw embryo, and determines the raw embryo position data of the pottery jar raw embryo; links a glaze spraying robot according to the raw embryo position data, obtains parameter data of the pottery jar raw embryo and performs real-time analysis based on AI technology, and predicts the intelligent glaze spraying control strategy of the pottery jar raw embryo; generates intelligent glaze spraying control instructions according to the intelligent glaze spraying control strategy and sends them to the glaze spraying robot, and the glaze spraying robot performs the intelligent glaze spraying operation; monitors the intelligent glaze spraying process in real time and evaluates the intelligent glaze spraying process according to preset glaze spraying evaluation indicators, and optimizes and controls the intelligent glaze spraying control strategy according to the evaluation result; and realizes efficient and high-quality intelligent glaze spraying on the pottery jar.

[0005] The present invention provides an AI-based intelligent glaze spraying system for pottery jars, comprising:

[0006] The pottery jar embryo positioning module is used to obtain the pottery jar embryo image based on AI technology, locate the pottery jar embryo, and determine the embryo position data of the pottery jar embryo;

[0007] The intelligent glaze spraying control module is used to link the glaze spraying robot according to the raw embryo position data, obtain the parameter data of the pottery jar raw embryo and perform real-time analysis based on AI technology to predict the intelligent glaze spraying control strategy of the pottery jar raw embryo;

[0008] The intelligent glaze spraying module is used to generate intelligent glaze spraying control instructions according to the intelligent glaze spraying control strategy and send them to the glaze spraying robot to control the glaze spraying robot to perform intelligent glaze spraying operations;

[0009] The glaze spraying optimization control module is used to monitor the intelligent glaze spraying process in real time and evaluate the intelligent glaze spraying process according to preset glaze spraying evaluation indicators, and optimize the intelligent glaze spraying control strategy according to the evaluation results.

[0010] According to the present invention, an AI-based intelligent glaze spraying system for pottery jars and a pottery jar embryo positioning module include:

[0011] A pottery jar embryo imaging unit is used to photograph the pottery jar embryo according to a preset monitoring device to obtain an initial image of the pottery jar embryo;

[0012] Perform image processing on the initial image of the pottery jar embryo based on AI technology to obtain the image of the pottery jar embryo, wherein the image processing includes: image noise reduction processing, image enhancement processing and image normalization processing;

[0013] A pottery jar embryo positioning unit is used to extract the pottery jar embryo features according to the pottery jar embryo image and preliminarily obtain the rough position data of the pottery jar embryo according to a preset coordinate system;

[0014] The rough position data is accurately processed according to AI technology to determine the raw embryo position data of the pottery jar raw embryo, wherein the raw embryo position data includes: raw embryo center point position data, raw embryo boundary point position data and raw embryo angle position data.

[0015] According to the present invention, an AI-based intelligent glaze spraying system for pottery jars and an intelligent glaze spraying control module are provided, comprising:

[0016] Glaze spraying robot unit, used to set up the glaze spraying robot, with built-in AI imaging equipment, position control equipment and glaze spraying control equipment;

[0017] The glaze spraying linkage unit is used to obtain the preset glaze spraying area of ​​the glaze spraying robot. When the raw embryo position data is monitored to be in the preset glaze spraying area, it is determined that the linkage of the glaze spraying robot is completed, and the glaze spraying robot is directly linked;

[0018] When it is detected that the position data of the raw embryo is not in the preset glaze spraying area, the glaze spraying robot is linked according to the position data of the raw embryo, and the ceramic jar raw embryo is moved to the preset glaze spraying area based on the position control device;

[0019] Re-acquire the raw embryo position data of the pottery jar raw embryo according to the AI ​​imaging device, and when the re-acquired raw embryo position data of the pottery jar raw embryo is in the preset glaze spraying area, it is determined that the linkage of the glaze spraying robot is completed;

[0020] The intelligent glaze spraying control unit is used to obtain the parameter data of the ceramic jar raw embryo based on the raw embryo position data and perform real-time analysis based on AI technology to predict the intelligent glaze spraying control strategy of the ceramic jar raw embryo.

[0021] According to the present invention, an AI-based intelligent glaze spraying system for pottery jars and an intelligent glaze spraying control unit are provided, comprising:

[0022] A pottery jar green embryo parameter block is used to perform AI imaging on the pottery jar green embryo based on the green embryo position data and the AI ​​imaging device, and obtain a green embryo glaze spraying image of the pottery jar green embryo, wherein the green embryo glaze spraying image of the pottery jar green embryo includes: an image of the inner wall of the green embryo glazed by the pottery jar green embryo and an image of the outer wall of the green embryo glazed by the pottery jar green embryo;

[0023] The glaze spraying image of the pottery jar green embryo is input into the AI ​​imaging device, and the glaze spraying image of the pottery jar green embryo is analyzed in real time according to the preset image learning algorithm of the AI ​​imaging device to obtain parameter data of the pottery jar green embryo;

[0024] The intelligent glaze spraying control strategy block is used to perform real-time analysis on the parameter data of the pottery jar embryo based on AI technology, and predict the intelligent glaze spraying control strategy of the pottery jar embryo. The intelligent glaze spraying control strategy includes: intelligent glaze spraying sequence strategy, intelligent glaze spraying path strategy, intelligent glaze spraying time strategy, intelligent glaze spraying thickness strategy and intelligent glaze spraying speed strategy;

[0025] The intelligent glaze spraying sequence strategy block is used to predict the glaze spraying sequence of the inner and outer walls of the pottery jar green body according to the glaze spraying environment, the pottery jar green body type and the historical glaze spraying operation, and obtain the intelligent glaze spraying sequence strategy;

[0026] when and When , it is determined that the order of spraying glaze on the inner wall is better than that of spraying glaze on the outer wall, where Nn is the frequency of spraying glaze on the inner wall first in the historical spraying glaze operation under the corresponding pottery jar green embryo type; Nw is the frequency of spraying glaze on the outer wall first in the historical spraying glaze operation under the corresponding pottery jar green embryo type; sim ( Ph,LP0 i) The glaze spraying environment Ph corresponds to the i-th historical environment LP0 of the inner wall of the green pottery jar type under the first glaze spraying i Similarity function of ; For all sims ( Ph,LP0 i) The variance of sim ( Ph,LP1 j ) The jth historical environment LP1 is the glaze spraying environment Ph and the inner wall of the corresponding pottery jar green embryo type is sprayed with glaze first j Similarity function of ;

[0027] when and When At this time, it is determined that the order of spraying glaze on the inner wall is better than that of spraying glaze on the outer wall. Otherwise, it is determined that the order of spraying glaze on the outer wall is better than that of spraying glaze on the inner wall, where y0 is a preset threshold;

[0028] when and When At this time, it is determined that the order of spraying glaze on the inner wall is better than that of spraying glaze on the outer wall; otherwise, it is determined that the order of spraying glaze on the outer wall is better than that of spraying glaze on the inner wall;

[0029] when and At this time, it is determined that the order of spraying glaze on the outer wall is better than that of spraying glaze on the inner wall;

[0030] An intelligent glaze spraying path strategy block is used to obtain the shape of the pottery jar embryo based on the parameter data of the pottery jar embryo. If the pottery jar embryo is of a regular shape, the intelligent glaze spraying path strategy of the pottery jar embryo is predicted based on a preset glaze spraying path.

[0031] If the pottery jar embryo is irregular in shape, the pottery jar embryo is divided into a regular-shaped sub-region and an irregular-shaped sub-region;

[0032] Intelligent glazing path strategy based on the preset glazing path prediction of regular shape sub-areas;

[0033] Perform intelligent glazing on irregular-shaped sub-areas according to the preset glazing path, and use AI technology to monitor and adjust the intelligent glazing process in real time to predict the intelligent glazing path strategy for irregular-shaped sub-areas;

[0034] The intelligent glazing time strategy block is used to obtain the glazing quality requirements of the pottery jar embryo, and predict the intelligent glazing time strategy based on the glazing quality requirements and historical glazing operations;

[0035] The intelligent glaze spraying thickness strategy block is used to divide the glaze spraying parts of the pottery jar according to the parameter data of the pottery jar embryo, and predict the intelligent glaze spraying thickness strategy according to the glaze spraying parts of the pottery jar;

[0036] The intelligent glaze spraying speed strategy block is used to predict the intelligent glaze spraying speed strategy based on the intelligent glaze spraying time strategy, the intelligent glaze spraying thickness strategy and the pottery jar raw body type.

[0037] According to the present invention, an AI-based intelligent glaze spraying system for pottery jars further comprises:

[0038] The pottery jar raw embryo cache block is used to obtain the machine number of the glaze spraying robot and the current number of pottery jar raw embryos;

[0039] If the number of machines is not less than the current number of pottery jar embryos, the intelligent glaze spraying control strategy is predicted for each pottery jar embryo;

[0040] If the number of machines is less than the current number of pottery jar green embryos, the glazing order of the pottery jar green embryos is set according to the glazing efficiency requirements of the pottery jar green embryos;

[0041] The glaze spraying robot is linked with the pottery jar embryo according to the glaze spraying sequence;

[0042] The raw ceramic jars that exceed the number of machines are randomly cached in the glazing lines of each glazing robot.

[0043] According to the present invention, a ceramic jar intelligent glaze spraying system based on AI technology and an intelligent glaze spraying module include:

[0044] An intelligent glaze spraying control instruction unit, used for generating intelligent glaze spraying control instructions according to an intelligent glaze spraying control strategy, wherein the intelligent glaze spraying control instructions include: intelligent glaze spraying sequence control instructions, intelligent glaze spraying path control instructions, intelligent glaze spraying time control instructions, intelligent glaze spraying thickness control instructions and intelligent glaze spraying speed control instructions;

[0045] The instruction issuing unit is used to issue the intelligent glaze spraying control instructions to the glaze spraying robot to perform the intelligent glaze spraying operation.

[0046] According to the present invention, a ceramic jar intelligent glaze spraying system based on AI technology and a glaze spraying optimization control module include:

[0047] Glaze spraying real-time monitoring unit, used to monitor the intelligent glaze spraying process in real time based on AI technology;

[0048] A glaze spraying evaluation index unit is used to set preset glaze spraying evaluation indexes of the pottery jar green body according to the glaze spraying efficiency requirements and glaze spraying quality requirements of the pottery jar green body, wherein the preset glaze spraying evaluation indexes include: glaze spraying time evaluation index, glaze spraying thickness evaluation index, glaze spraying quality evaluation index and glaze spraying speed evaluation index;

[0049] The glaze spraying optimization control unit is used to optimize the intelligent glaze spraying control strategy according to the evaluation results.

[0050] According to the present invention, an AI-based intelligent glaze spraying system for pottery jars further comprises:

[0051] The glaze spraying error control module is used to optimize the intelligent glaze spraying control strategy when it is monitored that the actual glaze spraying efficiency of the pottery jar embryo does not meet the glaze spraying efficiency requirements or the actual glaze spraying quality does not meet the glaze spraying quality requirements;

[0052] The glaze spraying switching control module is used to automatically generate an intelligent glaze spraying control strategy for intelligent glaze spraying according to the switched pottery jar raw embryo when it detects that the pottery jar raw embryo is switched for intelligent glaze spraying, and optimize the intelligent glaze spraying control strategy according to the actual glaze spraying results.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] Based on AI technology, the image of the pottery jar raw embryo is acquired, the raw embryo of the pottery jar is located, and the raw embryo position data of the pottery jar raw embryo is determined; the glaze spraying robot is linked according to the raw embryo position data, the parameter data of the pottery jar raw embryo is acquired and real-time analysis is performed based on AI technology, and the intelligent glaze spraying control strategy of the pottery jar raw embryo is predicted; according to the intelligent glaze spraying control strategy, intelligent glaze spraying control instructions are generated and sent to the glaze spraying robot, and the glaze spraying robot performs intelligent glaze spraying operations; the intelligent glaze spraying process is monitored in real time and the intelligent glaze spraying process is evaluated according to preset glaze spraying evaluation indicators, and the intelligent glaze spraying control strategy is optimized and controlled according to the evaluation results; efficient and high-quality intelligent glaze spraying of the pottery jar is realized.

[0055] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0056] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0058] In the attached picture:

[0059] Figure 1 It is a structural schematic diagram of an intelligent glaze spraying system for pottery jars based on AI technology provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0061] Embodiment 1:

[0062] The embodiment of the present invention provides an AI-based intelligent glaze spraying system for pottery jars. Figure 1 As shown, including:

[0063] The pottery jar embryo positioning module is used to obtain the pottery jar embryo image based on AI technology, locate the pottery jar embryo, and determine the embryo position data of the pottery jar embryo;

[0064] The intelligent glaze spraying control module is used to link the glaze spraying robot according to the raw embryo position data, obtain the parameter data of the pottery jar raw embryo and perform real-time analysis based on AI technology to predict the intelligent glaze spraying control strategy of the pottery jar raw embryo;

[0065] The intelligent glaze spraying module is used to generate intelligent glaze spraying control instructions according to the intelligent glaze spraying control strategy and send them to the glaze spraying robot to control the glaze spraying robot to perform intelligent glaze spraying operations;

[0066] The glaze spraying optimization control module is used to monitor the intelligent glaze spraying process in real time and evaluate the intelligent glaze spraying process according to preset glaze spraying evaluation indicators, and optimize the intelligent glaze spraying control strategy according to the evaluation results.

[0067] In this embodiment, the pottery jar embryo image refers to an image obtained by performing image processing on the initial image of the pottery jar embryo based on AI technology.

[0068] In this embodiment, the raw pottery jar refers to a pottery jar that has not been sprayed with glaze.

[0069] In this embodiment, the raw embryo position data refers to position data determined by accurately processing rough position data according to AI technology.

[0070] In this embodiment, the glaze spraying robot refers to a device that realizes intelligent glaze spraying on pottery jars based on AI technology.

[0071] In this embodiment, the parameter data refers to data of the pottery jar green embryo determined according to the green embryo position data for realizing intelligent glazing.

[0072] In this embodiment, the intelligent glaze spraying control strategy refers to a strategy for realizing intelligent glaze spraying predicted by real-time analysis of parameter data of pottery jar green embryos based on AI technology.

[0073] In this embodiment, the intelligent glaze spraying control instruction refers to a control instruction generated according to the intelligent glaze spraying control strategy for realizing intelligent glaze spraying.

[0074] In this embodiment, the preset glaze spraying evaluation index refers to a preset index for evaluating the glaze spraying quality and the glaze spraying efficiency.

[0075] The working principle and beneficial effects of the above technical scheme are: by acquiring the image of the pottery jar raw embryo based on AI technology, locating the pottery jar raw embryo, and determining the raw embryo position data of the pottery jar raw embryo; linking the glaze spraying robot according to the raw embryo position data, acquiring the parameter data of the pottery jar raw embryo and performing real-time analysis based on AI technology, and predicting the intelligent glaze spraying control strategy of the pottery jar raw embryo; generating intelligent glaze spraying control instructions according to the intelligent glaze spraying control strategy and sending them to the glaze spraying robot, and the glaze spraying robot performs intelligent glaze spraying operations; real-time monitoring of the intelligent glaze spraying process and evaluating the intelligent glaze spraying process according to preset glaze spraying evaluation indicators, and optimizing and controlling the intelligent glaze spraying control strategy according to the evaluation results; realizing efficient and high-quality intelligent glaze spraying of the pottery jar.

[0076] Embodiment 2:

[0077] The embodiment of the present invention provides an AI-based intelligent glaze spraying system for pottery jars and a pottery jar embryo positioning module, including:

[0078] A pottery jar embryo imaging unit is used to photograph the pottery jar embryo according to a preset monitoring device to obtain an initial image of the pottery jar embryo;

[0079] Perform image processing on the initial image of the pottery jar embryo based on AI technology to obtain the image of the pottery jar embryo, wherein the image processing includes: image noise reduction processing, image enhancement processing and image normalization processing;

[0080] A pottery jar embryo positioning unit is used to extract the pottery jar embryo features according to the pottery jar embryo image and preliminarily obtain the rough position data of the pottery jar embryo according to a preset coordinate system;

[0081] The rough position data is accurately processed according to AI technology to determine the raw embryo position data of the pottery jar raw embryo, wherein the raw embryo position data includes: raw embryo center point position data, raw embryo boundary point position data and raw embryo angle position data.

[0082] In this embodiment, the pottery jar refers to a container for storing liquor, and the raw pottery jar refers to a pottery jar that has not been glazed.

[0083] In this embodiment, the preset monitoring device refers to a device used to photograph the raw pottery jar embryo, such as a camera device.

[0084] In this embodiment, the initial image of the pottery jar embryo refers to an image obtained by directly photographing the pottery jar embryo through a preset monitoring device.

[0085] In this embodiment, the pottery jar raw embryo image refers to the image obtained by performing image processing on the initial image of the pottery jar raw embryo based on AI technology, which is used for subsequent accurate acquisition of relevant data of the pottery jar raw embryo, thereby improving the glaze spraying quality and efficiency.

[0086] In this embodiment, the pottery jar embryo feature refers to the feature used to represent the pottery jar embryo, which is extracted based on the pottery jar embryo image.

[0087] In this embodiment, the rough position data refers to the position data roughly determined based on the preset coordinate system and the characteristics of the pottery jar embryo. For example, it is roughly determined that the pottery jar embryo a1 is at position b1, but the specific placement data of the pottery jar embryo a1 at position b1 is unknown.

[0088] In this embodiment, the preset coordinate system refers to a preset coordinate system for determining the position of the pottery jar green embryo.

[0089] In this embodiment, the raw embryo position data refers to the position data determined by accurately processing the rough position data according to the AI ​​technology, and is used to accurately represent the specific placement data of the pottery jar raw embryo at the position.

[0090] The working principle and beneficial effects of the above technical solution are: by acquiring the image of the raw embryo of the pottery jar based on AI technology, locating the raw embryo of the pottery jar, and determining the raw embryo position data of the raw embryo of the pottery jar, the raw embryo position data foundation is laid for the subsequent realization of intelligent glaze spraying.

[0091] Embodiment 3:

[0092] The embodiment of the present invention provides a pottery jar intelligent glaze spraying system based on AI technology, and an intelligent glaze spraying control module, including:

[0093] Glaze spraying robot unit, used to set up the glaze spraying robot, with built-in AI imaging equipment, position control equipment and glaze spraying control equipment;

[0094] The glaze spraying linkage unit is used to obtain the preset glaze spraying area of ​​the glaze spraying robot. When the raw embryo position data is monitored to be in the preset glaze spraying area, it is determined that the linkage of the glaze spraying robot is completed, and the glaze spraying robot is directly linked;

[0095] When it is detected that the position data of the raw embryo is not in the preset glaze spraying area, the glaze spraying robot is linked according to the position data of the raw embryo, and the ceramic jar raw embryo is moved to the preset glaze spraying area based on the position control device;

[0096] Re-acquire the raw embryo position data of the pottery jar raw embryo according to the AI ​​imaging device, and when the re-acquired raw embryo position data of the pottery jar raw embryo is in the preset glaze spraying area, it is determined that the linkage of the glaze spraying robot is completed;

[0097] The intelligent glaze spraying control unit is used to obtain the parameter data of the ceramic jar raw embryo based on the raw embryo position data and perform real-time analysis based on AI technology to predict the intelligent glaze spraying control strategy of the ceramic jar raw embryo.

[0098] In this embodiment, the glaze spraying robot refers to a device that realizes intelligent glaze spraying on pottery jars based on AI technology.

[0099] In this embodiment, the AI ​​imaging device refers to a device built into the glaze spraying robot that performs imaging processing and analysis based on AI technology.

[0100] In this embodiment, the position control device refers to a device used by the glaze spraying robot to control the position of the pottery jar green body.

[0101] In this embodiment, the glaze spraying control device refers to a device used by a glaze spraying robot to control the intelligent glaze spraying on the raw ceramic pot.

[0102] In this embodiment, the preset glaze spraying area refers to the area where the glaze spraying robot can perform intelligent glazing. For example, the glaze spraying robot can perform intelligent glazing on the raw pottery jar embryos in the D1 area, but cannot perform intelligent glazing on the raw pottery jar embryos outside the D1 area. The raw pottery jar embryos outside the D1 area need to be transferred to the D1 area before intelligent glazing can be performed.

[0103] In this embodiment, the glaze spraying robot is linked according to the raw embryo position data, that is, the ceramic jar raw embryo on which the glaze spraying robot is currently performing intelligent glazing is determined.

[0104] In this embodiment, the raw embryo position data of the pottery jar is reacquired based on the AI ​​imaging device, that is, the raw embryo of the pottery jar is moved to the preset glaze spraying area based on the position control device, and then the precise position data of the raw embryo of the pottery jar is re-determined, thereby ensuring the quality of subsequent intelligent glaze spraying.

[0105] In this embodiment, the parameter data refers to data of the pottery jar green embryo determined according to the green embryo position data for realizing intelligent glazing.

[0106] In this embodiment, the intelligent glaze spraying control strategy refers to a strategy for realizing intelligent glaze spraying predicted by real-time analysis of parameter data of pottery jar green embryos based on AI technology.

[0107] The working principle and beneficial effects of the above technical solution are: by linking the glaze spraying robot according to the raw embryo position data, obtaining the parameter data of the ceramic jar raw embryo and performing real-time analysis based on AI technology, the intelligent glaze spraying control strategy of the ceramic jar raw embryo is predicted, which is conducive to the efficient and high-quality realization of intelligent glaze spraying.

[0108] Embodiment 4:

[0109] The embodiment of the present invention provides a pottery jar intelligent glaze spraying system based on AI technology, and an intelligent glaze spraying control unit, comprising:

[0110] A pottery jar green embryo parameter block is used to perform AI imaging on the pottery jar green embryo based on the green embryo position data and the AI ​​imaging device, and obtain a green embryo glaze spraying image of the pottery jar green embryo, wherein the green embryo glaze spraying image of the pottery jar green embryo includes: an image of the inner wall of the green embryo glazed by the pottery jar green embryo and an image of the outer wall of the green embryo glazed by the pottery jar green embryo;

[0111] The glaze spraying image of the pottery jar green embryo is input into the AI ​​imaging device, and the glaze spraying image of the pottery jar green embryo is analyzed in real time according to the preset image learning algorithm of the AI ​​imaging device to obtain parameter data of the pottery jar green embryo;

[0112] The intelligent glaze spraying control strategy block is used to perform real-time analysis on the parameter data of the pottery jar embryo based on AI technology, and predict the intelligent glaze spraying control strategy of the pottery jar embryo. The intelligent glaze spraying control strategy includes: intelligent glaze spraying sequence strategy, intelligent glaze spraying path strategy, intelligent glaze spraying time strategy, intelligent glaze spraying thickness strategy and intelligent glaze spraying speed strategy;

[0113] The intelligent glaze spraying sequence strategy block is used to predict the glaze spraying sequence of the inner and outer walls of the pottery jar embryo according to the glaze spraying environment, the pottery jar embryo type and the historical glaze spraying operation, and determine the intelligent glaze spraying sequence strategy;

[0114] when and When , it is determined that the order of spraying glaze on the inner wall is better than that of spraying glaze on the outer wall, where Nn is the frequency of spraying glaze on the inner wall first in the historical spraying glaze operation under the corresponding pottery jar green embryo type; Nw is the frequency of spraying glaze on the outer wall first in the historical spraying glaze operation under the corresponding pottery jar green embryo type; sim ( Ph,LP0 i) The glaze spraying environment Ph corresponds to the i-th historical environment LP0 of the inner wall of the green pottery jar type under the first glaze spraying i Similarity function of ; For all sims ( Ph,LP0 i) The variance of sim ( Ph,LP1 j ) The jth historical environment LP1 is the glaze spraying environment Ph and the inner wall of the corresponding pottery jar green embryo type is sprayed with glaze first j Similarity function of ;

[0115] when and When At this time, it is determined that the order of spraying glaze on the inner wall is better than that of spraying glaze on the outer wall. Otherwise, it is determined that the order of spraying glaze on the outer wall is better than that of spraying glaze on the inner wall, where y0 is a preset threshold;

[0116] when and When At this time, it is determined that the order of spraying glaze on the inner wall is better than that of spraying glaze on the outer wall; otherwise, it is determined that the order of spraying glaze on the outer wall is better than that of spraying glaze on the inner wall;

[0117] when and At this time, it is determined that the order of spraying glaze on the outer wall is better than that of spraying glaze on the inner wall;

[0118] An intelligent glaze spraying path strategy block is used to obtain the shape of the pottery jar embryo based on the parameter data of the pottery jar embryo. If the pottery jar embryo is of a regular shape, the intelligent glaze spraying path strategy of the pottery jar embryo is predicted based on a preset glaze spraying path.

[0119] If the pottery jar embryo is irregular in shape, the pottery jar embryo is divided into a regular-shaped sub-region and an irregular-shaped sub-region;

[0120] Intelligent glazing path strategy based on the preset glazing path prediction of regular shape sub-areas;

[0121] Perform intelligent glazing on irregular-shaped sub-areas according to the preset glazing path, and use AI technology to monitor and adjust the intelligent glazing process in real time to predict the intelligent glazing path strategy for irregular-shaped sub-areas;

[0122] The intelligent glazing time strategy block is used to obtain the glazing quality requirements of the pottery jar embryo, and predict the intelligent glazing time strategy based on the glazing quality requirements and historical glazing operations;

[0123] The intelligent glaze spraying thickness strategy block is used to divide the glaze spraying parts of the pottery jar according to the parameter data of the pottery jar embryo, and predict the intelligent glaze spraying thickness strategy according to the glaze spraying parts of the pottery jar;

[0124] The intelligent glaze spraying speed strategy block is used to predict the intelligent glaze spraying speed strategy based on the intelligent glaze spraying time strategy, the intelligent glaze spraying thickness strategy and the pottery jar raw body type.

[0125] In this embodiment, the glaze spraying image of the pottery jar raw embryo refers to an image obtained by performing AI imaging of the pottery jar raw embryo based on the raw embryo position data and the AI ​​imaging device, that is, an image of the pottery jar raw embryo being glazed.

[0126] In this embodiment, based on the glaze spraying environment, the type of ceramic jar embryo and the historical glaze spraying operations, the glaze spraying order of the inner and outer walls of the ceramic jar embryo is predicted, and an intelligent glaze spraying sequence strategy is determined. For example, the inner wall of the ceramic jar embryo is sprayed with glaze first, and then the outer wall of the ceramic jar embryo is sprayed with glaze, thereby ensuring the glaze spraying quality and efficiency of the ceramic jar embryo.

[0127] In this embodiment, the intelligent glaze spraying path strategy refers to a strategy for planning the intelligent glaze spraying path for the pottery jar embryo. For the pottery jar embryo in a regular-shaped sub-area, intelligent glaze spraying can be performed based on a preset glaze spraying path.

[0128] In this embodiment, the regular-shaped sub-region refers to a regular-shaped region determined by dividing the pottery jar green body; the irregular-shaped sub-region refers to an irregular-shaped region determined by dividing the pottery jar green body.

[0129] In this embodiment, the preset glaze spraying path refers to a preset planned path for intelligent glazing of the pottery jar embryo.

[0130] In this embodiment, the glaze spraying quality requirement refers to the quality requirement when performing intelligent glaze spraying on the ceramic jar green body.

[0131] In this embodiment, the historical glaze spraying operation refers to the operation of intelligently spraying glaze on the pottery jar embryo during the historical period.

[0132] In this embodiment, the intelligent glazing time strategy refers to a time planning strategy for ensuring the quality of glazing when intelligently glazing the raw pottery jar embryos, that is, predicting the intelligent glazing time of the raw pottery jar embryos, and then planning the intelligent glazing operation of each raw pottery jar embryo, so as to ensure the glazing efficiency of the raw pottery jar embryos while ensuring the quality of glazing the raw pottery jar embryos.

[0133] In this embodiment, in order to ensure the quality of glaze spraying, different glaze spraying locations of the pottery jar require different glaze spraying thicknesses.

[0134] In this embodiment, the glaze spraying parts of the pottery jar are divided according to the parameter data of the pottery jar embryo, for example, the glaze spraying parts on the outer wall of the pottery jar and the glaze spraying parts on the inner wall of the pottery jar.

[0135] In this embodiment, the intelligent glaze spraying thickness strategy refers to a thickness control strategy for intelligent glaze spraying on the pottery jar green body, which is used to ensure the quality of glaze spraying.

[0136] In this embodiment, the intelligent glaze spraying speed strategy refers to the strategy for controlling the glaze spraying speed and the glaze spraying flow rate when intelligently spraying glaze on the ceramic jar embryo, which is used to ensure the glaze spraying quality and glaze spraying efficiency. For example, the smooth surface of the ceramic jar embryo is sprayed with glaze quickly and the glaze spraying flow rate is reduced, thereby improving the glaze spraying efficiency; the rough surface of the ceramic jar embryo is sprayed with glaze slowly and the glaze spraying flow rate is increased, thereby ensuring the glaze spraying quality.

[0137] The working principle and beneficial effects of the above technical solution are: by obtaining the parameter data of the pottery jar raw embryo based on the raw embryo position data and performing real-time analysis based on AI technology, the intelligent glaze spraying control strategy of the pottery jar raw embryo is predicted, which is conducive to the subsequent strategy-based realization of efficient and high-quality intelligent glaze spraying of the pottery jar.

[0138] Embodiment 5:

[0139] The embodiment of the present invention provides an AI-based intelligent glaze spraying system for pottery jars, further comprising:

[0140] The pottery jar raw embryo cache block is used to obtain the machine number of the glaze spraying robot and the current number of pottery jar raw embryos;

[0141] If the number of machines is not less than the current number of pottery jar embryos, the intelligent glaze spraying control strategy is predicted for each pottery jar embryo;

[0142] If the number of machines is less than the current number of pottery jar green embryos, the glazing order of the pottery jar green embryos is set according to the glazing efficiency requirements of the pottery jar green embryos;

[0143] The glaze spraying robot is linked with the pottery jar embryo according to the glaze spraying sequence;

[0144] The raw ceramic jars that exceed the number of machines are randomly cached in the glazing lines of each glazing robot.

[0145] In this embodiment, the number of machines refers to the number of glaze spraying robots.

[0146] In this embodiment, the current number of pottery jar raw embryos refers to the number of pottery jar raw embryos that need to be glazed in the current period.

[0147] In this embodiment, if the number of machines is not less than the current number of pottery jar embryos, the intelligent glaze spraying control strategy is predicted for each pottery jar embryo, that is, the glaze spraying robot can perform intelligent glaze spraying on all pottery jar embryos in the current period.

[0148] In this embodiment, if the number of machines is lower than the current number of raw ceramic jar embryos, the glazing order of the raw ceramic jar embryos is set according to the glazing efficiency requirements of the raw ceramic jar embryos. That is, the glazing robot cannot intelligently spray glaze on all raw ceramic jar embryos in the current period, and they need to be intelligently sprayed glaze in sequence according to the glazing efficiency requirements of the raw ceramic jar embryos.

[0149] In this embodiment, the glaze spraying efficiency requirement refers to the efficiency requirement required for intelligent glaze spraying on the raw ceramic pottery jar.

[0150] In this embodiment, the glaze spraying sequence refers to the sequence in which the pottery jar green body is subjected to intelligent glaze spraying.

[0151] In this embodiment, the glaze spraying line refers to a production line where glaze spraying robots perform intelligent glaze spraying, and is used to temporarily cache raw ceramic jars that exceed the number of machines.

[0152] The working principle and beneficial effect of the above technical solution are: by setting the glaze spraying sequence, the raw pottery jars that exceed the number of machines are randomly cached in the glaze spraying lines of each glaze spraying robot, ensuring the intelligent glazing of the pottery jars with maximum efficiency.

[0153] Embodiment 6:

[0154] The embodiment of the present invention provides a pottery jar intelligent glaze spraying system based on AI technology, and an intelligent glaze spraying module, including:

[0155] An intelligent glaze spraying control instruction unit, used for generating intelligent glaze spraying control instructions according to an intelligent glaze spraying control strategy, wherein the intelligent glaze spraying control instructions include: intelligent glaze spraying sequence control instructions, intelligent glaze spraying path control instructions, intelligent glaze spraying time control instructions, intelligent glaze spraying thickness control instructions and intelligent glaze spraying speed control instructions;

[0156] The instruction issuing unit is used to issue the intelligent glaze spraying control instructions to the glaze spraying robot to perform the intelligent glaze spraying operation.

[0157] In this embodiment, the intelligent glaze spraying control instruction refers to a control instruction generated according to the intelligent glaze spraying control strategy for realizing intelligent glaze spraying.

[0158] In this embodiment, the intelligent glaze spraying operation refers to the glaze spraying robot performing the intelligent glaze spraying operation based on the intelligent glaze spraying control instructions.

[0159] The working principle and beneficial effects of the above technical solution are: by generating intelligent glaze spraying control instructions according to the intelligent glaze spraying control strategy and sending them to the glaze spraying robot, the glaze spraying robot performs intelligent glaze spraying operations, which is conducive to realizing intelligent glazing of the pottery jar.

[0160] Embodiment 7:

[0161] The embodiment of the present invention provides a ceramic jar intelligent glaze spraying system based on AI technology, and a glaze spraying optimization control module, including:

[0162] Glaze spraying real-time monitoring unit, used to monitor the intelligent glaze spraying process in real time based on AI technology;

[0163] A glaze spraying evaluation index unit is used to set preset glaze spraying evaluation indexes of the pottery jar green body according to the glaze spraying efficiency requirements and glaze spraying quality requirements of the pottery jar green body, wherein the preset glaze spraying evaluation indexes include: glaze spraying time evaluation index, glaze spraying thickness evaluation index, glaze spraying quality evaluation index and glaze spraying speed evaluation index;

[0164] The glaze spraying optimization control unit is used to optimize the intelligent glaze spraying control strategy according to the evaluation results.

[0165] In this embodiment, the preset glaze spraying evaluation index refers to a preset index for evaluating the glaze spraying quality and the glaze spraying efficiency.

[0166] In this embodiment, the intelligent glaze spraying control strategy is optimized and controlled according to the evaluation results, that is, the optimization control is performed according to the unqualified evaluation items in the evaluation results. For example, if the glaze spraying thickness in the evaluation results does not meet the standards, the intelligent glaze spraying thickness strategy is optimized and controlled.

[0167] The working principle and beneficial effects of the above technical solution are: by real-time monitoring of the intelligent glazing process and evaluating the intelligent glazing process according to preset glazing evaluation indicators, the intelligent glazing control strategy is optimized according to the evaluation results, thereby ensuring the quality and efficiency of the intelligent glazing of the pottery jar.

[0168] Embodiment 8:

[0169] The embodiment of the present invention provides an AI-based intelligent glaze spraying system for pottery jars, further comprising:

[0170] The glaze spraying error control module is used to optimize the intelligent glaze spraying control strategy when it is monitored that the actual glaze spraying efficiency of the pottery jar embryo does not meet the glaze spraying efficiency requirements or the actual glaze spraying quality does not meet the glaze spraying quality requirements;

[0171] The glaze spraying switching control module is used to automatically generate an intelligent glaze spraying control strategy for intelligent glaze spraying according to the switched pottery jar raw embryo when it detects that the pottery jar raw embryo is switched for intelligent glaze spraying, and optimize the intelligent glaze spraying control strategy according to the actual glaze spraying results.

[0172] In this embodiment, when it is monitored that the actual glaze spraying efficiency of the ceramic jar raw embryo does not meet the glaze spraying efficiency requirements or the actual glaze spraying quality does not meet the glaze spraying quality requirements, that is, the glaze spraying is unqualified, the intelligent glaze spraying control strategy needs to be optimized and controlled to ensure the subsequent glaze spraying quality.

[0173] In this embodiment, when it is monitored that the ceramic jar raw embryo is switched for intelligent glaze spraying, an intelligent glaze spraying control strategy is automatically generated according to the switched ceramic jar raw embryo for intelligent glaze spraying and the intelligent glaze spraying control strategy is optimized and controlled according to the actual glaze spraying results. That is, the intelligent glaze spraying control strategies for different ceramic jar raw embryos are different. By automatically generating the intelligent glaze spraying control strategy, the glaze spraying efficiency is improved when switching the glaze spraying types.

[0174] The working principle and beneficial effect of the above technical solution are: by performing glaze spraying error control and glaze spraying switching control, the glaze spraying quality and glaze spraying efficiency of the intelligent glazing on the pottery jar are further ensured.

[0175] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention 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 deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An AI-based intelligent glaze spraying system for pottery jars, characterized in that: include: The pottery jar embryo positioning module is used to obtain the pottery jar embryo image based on AI technology, locate the pottery jar embryo, and determine the embryo position data of the pottery jar embryo; The intelligent glaze spraying control module is used to link the glaze spraying robot according to the raw embryo position data, obtain the parameter data of the pottery jar raw embryo and perform real-time analysis based on AI technology to predict the intelligent glaze spraying control strategy of the pottery jar raw embryo; The intelligent glaze spraying module is used to generate intelligent glaze spraying control instructions according to the intelligent glaze spraying control strategy and send them to the glaze spraying robot to control the glaze spraying robot to perform intelligent glaze spraying operations; The glaze spraying optimization control module is used to monitor the intelligent glaze spraying process in real time and evaluate the intelligent glaze spraying process according to preset glaze spraying evaluation indicators, and optimize the intelligent glaze spraying control strategy according to the evaluation results.

2. According to the AI-based intelligent glaze spraying system for pottery jars according to claim 1, it is characterized in that: The ceramic pot embryo positioning module includes: A pottery jar embryo imaging unit is used to photograph the pottery jar embryo according to a preset monitoring device to obtain an initial image of the pottery jar embryo; Perform image processing on the initial image of the pottery jar embryo based on AI technology to obtain the image of the pottery jar embryo, wherein the image processing includes: image noise reduction processing, image enhancement processing and image normalization processing; A pottery jar embryo positioning unit is used to extract the pottery jar embryo features according to the pottery jar embryo image and preliminarily obtain the rough position data of the pottery jar embryo according to a preset coordinate system; The rough position data is accurately processed according to AI technology to determine the raw embryo position data of the pottery jar raw embryo, wherein the raw embryo position data includes: raw embryo center point position data, raw embryo boundary point position data and raw embryo angle position data.

3. According to the AI-based intelligent glaze spraying system for pottery jars according to claim 1, it is characterized in that: Intelligent glaze spraying control module, including: Glaze spraying robot unit, used to set up the glaze spraying robot, with built-in AI imaging equipment, position control equipment and glaze spraying control equipment; The glaze spraying linkage unit is used to obtain the preset glaze spraying area of ​​the glaze spraying robot. When the raw embryo position data is monitored to be in the preset glaze spraying area, it is determined that the linkage of the glaze spraying robot is completed, and the glaze spraying robot is directly linked; When it is detected that the position data of the raw embryo is not in the preset glaze spraying area, the glaze spraying robot is linked according to the position data of the raw embryo, and the ceramic jar raw embryo is moved to the preset glaze spraying area based on the position control device; Re-acquire the raw embryo position data of the pottery jar raw embryo according to the AI ​​imaging device, and when the re-acquired raw embryo position data of the pottery jar raw embryo is in the preset glaze spraying area, it is determined that the linkage of the glaze spraying robot is completed; The intelligent glaze spraying control unit is used to obtain the parameter data of the ceramic jar raw embryo based on the raw embryo position data and perform real-time analysis based on AI technology to predict the intelligent glaze spraying control strategy of the ceramic jar raw embryo.

4. According to claim 3, the AI-based intelligent glaze spraying system for pottery jars is characterized in that: Intelligent glaze spraying control unit, including: A pottery jar green embryo parameter block is used to perform AI imaging on the pottery jar green embryo based on the green embryo position data and the AI ​​imaging device, and obtain a green embryo glaze spraying image of the pottery jar green embryo, wherein the green embryo glaze spraying image of the pottery jar green embryo includes: an image of the inner wall of the green embryo glazed by the pottery jar green embryo and an image of the outer wall of the green embryo glazed by the pottery jar green embryo; The glaze spraying image of the pottery jar green embryo is input into the AI ​​imaging device, and the glaze spraying image of the pottery jar green embryo is analyzed in real time according to the preset image learning algorithm of the AI ​​imaging device to obtain parameter data of the pottery jar green embryo; The intelligent glaze spraying control strategy block is used to perform real-time analysis on the parameter data of the pottery jar embryo based on AI technology, and predict the intelligent glaze spraying control strategy of the pottery jar embryo. The intelligent glaze spraying control strategy includes: intelligent glaze spraying sequence strategy, intelligent glaze spraying path strategy, intelligent glaze spraying time strategy, intelligent glaze spraying thickness strategy and intelligent glaze spraying speed strategy; The intelligent glaze spraying sequence strategy block is used to predict the glaze spraying sequence of the inner and outer walls of the pottery jar embryo according to the glaze spraying environment, the pottery jar embryo type and the historical glaze spraying operation, and determine the intelligent glaze spraying sequence strategy; when and When , it is determined that the order of spraying glaze on the inner wall is better than that of spraying glaze on the outer wall, where Nn is the frequency of spraying glaze on the inner wall first in the historical spraying glaze operation under the corresponding pottery jar green embryo type; Nw is the frequency of spraying glaze on the outer wall first in the historical spraying glaze operation under the corresponding pottery jar green embryo type; sim ( Ph,LP0 i) The glaze spraying environment Ph corresponds to the i-th historical environment LP0 of the inner wall of the green pottery jar type under the first glaze spraying i Similarity function of ; For all sims ( Ph,LP0 i) The variance of sim ( Ph,LP1 j ) The jth historical environment LP1 is the glaze spraying environment Ph and the inner wall of the corresponding pottery jar green embryo type is sprayed with glaze first j Similarity function of ; when and When At this time, it is determined that the order of spraying glaze on the inner wall is better than that of spraying glaze on the outer wall. Otherwise, it is determined that the order of spraying glaze on the outer wall is better than that of spraying glaze on the inner wall, where y0 is a preset threshold; when and When At this time, it is determined that the order of spraying glaze on the inner wall is better than that of spraying glaze on the outer wall; otherwise, it is determined that the order of spraying glaze on the outer wall is better than that of spraying glaze on the inner wall; when and At this time, it is determined that the order of spraying glaze on the outer wall is better than that of spraying glaze on the inner wall; An intelligent glaze spraying path strategy block is used to obtain the shape of the pottery jar embryo based on the parameter data of the pottery jar embryo. If the pottery jar embryo is of a regular shape, the intelligent glaze spraying path strategy of the pottery jar embryo is predicted based on a preset glaze spraying path. If the pottery jar embryo is irregular in shape, the pottery jar embryo is divided into a regular-shaped sub-region and an irregular-shaped sub-region; Intelligent glazing path strategy based on the preset glazing path prediction of regular shape sub-areas; Perform intelligent glazing on irregular-shaped sub-areas according to the preset glazing path, and use AI technology to monitor and adjust the intelligent glazing process in real time to predict the intelligent glazing path strategy for irregular-shaped sub-areas; The intelligent glazing time strategy block is used to obtain the glazing quality requirements of the pottery jar embryo, and predict the intelligent glazing time strategy based on the glazing quality requirements and historical glazing operations; The intelligent glaze spraying thickness strategy block is used to divide the glaze spraying parts of the pottery jar according to the parameter data of the pottery jar embryo, and predict the intelligent glaze spraying thickness strategy according to the glaze spraying parts of the pottery jar; The intelligent glaze spraying speed strategy block is used to predict the intelligent glaze spraying speed strategy based on the intelligent glaze spraying time strategy, the intelligent glaze spraying thickness strategy and the pottery jar raw body type.

5. According to claim 4, the AI-based intelligent glaze spraying system for pottery jars is characterized in that: Also includes: The pottery jar raw embryo cache block is used to obtain the machine number of the glaze spraying robot and the current number of pottery jar raw embryos; If the number of machines is not less than the current number of pottery jar embryos, the intelligent glaze spraying control strategy is predicted for each pottery jar embryo; If the number of machines is less than the current number of pottery jar green embryos, the glazing order of the pottery jar green embryos is set according to the glazing efficiency requirements of the pottery jar green embryos; The glaze spraying robot is linked with the pottery jar embryo according to the glaze spraying sequence; The raw ceramic jars that exceed the number of machines are randomly cached in the glazing lines of each glazing robot.

6. The AI-based intelligent glaze spraying system for pottery jars according to claim 1 is characterized in that: Intelligent glaze spraying module, including: An intelligent glaze spraying control instruction unit, used for generating intelligent glaze spraying control instructions according to an intelligent glaze spraying control strategy, wherein the intelligent glaze spraying control instructions include: intelligent glaze spraying sequence control instructions, intelligent glaze spraying path control instructions, intelligent glaze spraying time control instructions, intelligent glaze spraying thickness control instructions and intelligent glaze spraying speed control instructions; The instruction issuing unit is used to issue the intelligent glaze spraying control instructions to the glaze spraying robot to perform the intelligent glaze spraying operation.

7. The AI-based intelligent glaze spraying system for pottery jars according to claim 1 is characterized in that: Glaze spray optimization control module, including: Glaze spraying real-time monitoring unit, used to monitor the intelligent glaze spraying process in real time based on AI technology; A glaze spraying evaluation index unit is used to set preset glaze spraying evaluation indexes of the pottery jar green body according to the glaze spraying efficiency requirements and glaze spraying quality requirements of the pottery jar green body, wherein the preset glaze spraying evaluation indexes include: glaze spraying time evaluation index, glaze spraying thickness evaluation index, glaze spraying quality evaluation index and glaze spraying speed evaluation index; The glaze spraying optimization control unit is used to optimize the intelligent glaze spraying control strategy according to the evaluation results.

8. The AI-based intelligent glaze spraying system for pottery jars according to claim 1 is characterized in that: Also includes: The glaze spraying error control module is used to optimize the intelligent glaze spraying control strategy when it is monitored that the actual glaze spraying efficiency of the pottery jar embryo does not meet the glaze spraying efficiency requirements or the actual glaze spraying quality does not meet the glaze spraying quality requirements; The glaze spraying switching control module is used to automatically generate an intelligent glaze spraying control strategy for intelligent glaze spraying according to the switched pottery jar raw embryo when it detects that the pottery jar raw embryo is switched for intelligent glaze spraying, and optimize the intelligent glaze spraying control strategy according to the actual glaze spraying results.

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