A pre-coating film industrial control system and control method

Abstract

The present invention relates to the technical field of industrial control, and specifically to a pre-coating industrial control system and control method, wherein the control method includes precise control of temperature, pressure and speed through real-time monitoring and intelligent adjustment technology, intelligent control of static electricity elimination and environmental cleaning based on visual processing technology, and safe control of stable operation of coating equipment based on intelligent diagnosis algorithm; the present invention can ensure that the coating parameters are always within the normal working range through real-time monitoring and intelligent adjustment technology, thereby improving product quality and production efficiency; utilize the combination of visual processing technology and high-frequency sound wave technology to effectively realize intelligent control of static electricity elimination and environmental cleaning, and further improve product quality; the constructed intelligent diagnosis algorithm can monitor the equipment operation status in real time, ensure stable operation of the equipment, and reduce the failure rate.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial control, and in particular to a pre-coated film industrial control system and a control method. Background Art

[0002] The pre-coating process is a process in which plastic film is pre-coated with adhesive and then heat-pressed when necessary; this process is widely used in printed materials, packaging materials, advertising displays and other fields to improve the durability, appearance and texture of the product.

[0003] However, there are also some defects and influencing factors in the actual operation process:

[0004] 1. During the pre-coating process, if the temperature, pressure, speed is not appropriate or the surface of the substrate is uneven, bubbles and wrinkles are likely to occur;

[0005] 2. The static electricity generated during the lamination process will cause dust and impurities to be adsorbed between the pre-coated film and the substrate, affecting the lamination quality;

[0006] 3. In actual industrial production, improper maintenance of laminating equipment will lead to mechanical failure and affect the quality of lamination. Summary of the invention

[0007] In view of the above-mentioned problems, the present invention is proposed.

[0008] In order to solve the above technical problems, the present invention provides the following technical solutions: a pre-coating film industrial control method, comprising the following steps:

[0009] Precise control of temperature, pressure and speed through real-time monitoring and intelligent adjustment technology, including:

[0010] Monitor the temperature, pressure and speed parameters of the laminating equipment and construct feature vectors, use the constructed feature vectors to construct fuzzy rules, and predict the laminating quality according to the output of the fuzzy membership function in the fuzzy rules, and calculate the fuzzy output based on the predicted result of the laminating quality, and convert the fuzzy output into the parameter value that needs to be adjusted through defuzzification;

[0011] Intelligent control of static elimination and environmental cleaning based on visual processing technology, specifically:

[0012] The laminating quality is continuously tested based on the adjusted laminating equipment, including:

[0013] Use visual processing technology to extract the characteristics of static sparks and dust particle size, calculate the interference score based on the extracted characteristics, judge the coating quality based on the interference score, and realize intelligent control of static elimination and environmental cleaning based on the coating quality;

[0014] Realize safe control of stable operation of laminating equipment based on intelligent diagnosis algorithm.

[0015] As a preferred solution of the pre-coating film industrial control method described in the present invention, the temperature, pressure and speed parameters of the laminating equipment are collected by temperature sensors, pressure sensors and speed sensors respectively. The temperature sensor is installed in the heating roller and cooling area of ​​the laminating equipment to collect the temperature parameter T in real time. The pressure sensor is installed in the roller area of ​​the laminating equipment to collect the pressure parameter F applied during the laminating process in real time. The speed sensor is installed in the transmission area of ​​the laminating equipment to collect the running speed parameter V of the laminating equipment in real time.

[0016] The collected temperature parameters, pressure parameters and speed parameters are constructed into a data set of feature vectors, and the parameters are used as the eigenvalues ​​of the feature vectors, then, X = [T i ,F i ,V i ], i = 1, 2, 3, ..., n, where n represents the total number of data collections and i represents the serial number of the number of collections.

[0017] As a preferred solution of the pre-coating film industrial control method of the present invention, the specific construction process of the fuzzy rule is as follows:

[0018] According to the historical coating data, the upper and lower limits of each parameter are set, and the optimal production range of each parameter is set according to the set upper and lower limits. Then, the optimal production range of the temperature parameter satisfies the formula [T min ,T max ]; The optimal production range of pressure parameters satisfies the formula [F min ,F max ]; The optimal production range of speed parameters satisfies the formula [V min ,V max ];

[0019] According to the set optimal production range, the parameter fuzzy membership function is constructed as follows:

[0020]

[0021] Among them, f(X i ) represents the fuzzy membership function of the eigenvalue in the eigenvector, is the fuzzy membership function of each parameter in the laminating process, X i represents the characteristic value, which is the temperature parameter, pressure parameter and speed parameter. i_min Indicates the lower limit value of each parameter set according to historical data, X i_max Indicates the upper limit value of each parameter set according to historical data;

[0022] According to the output results of the fuzzy membership function, the quality of the coating under the influence of the current data parameters is predicted. The specific prediction is as follows:

[0023] When the fuzzy membership function is used for the output of each parameter, any parameter output result satisfies the formula (f(X i )=1)∨(f(X i )=0), it means that the lamination quality is unqualified under the effect of the current data parameters;

[0024] When the fuzzy membership function is used for the output of each parameter, all parameter output results satisfy the formula (f(X i )≠1)∧(f(X i )≠0), it means that the lamination quality is qualified under the current data parameters.

[0025] As a preferred solution of the pre-coating film industrial control method of the present invention, the specific prediction principle of predicting the coating quality according to the output of the fuzzy membership function in the fuzzy rule is as follows:

[0026] When the fuzzy membership function is used for the output of each parameter, any parameter output result satisfies the formula (f(X i )=1)∨(f(X i )=0), it means that the lamination quality is unqualified under the effect of the current data parameters;

[0027] When the fuzzy membership function is used for the output of each parameter, all parameter output results satisfy the formula (f(X i )≠1)∧(f(X i )≠0), it means that the lamination quality is qualified under the current data parameters.

[0028] As a preferred solution of the pre-coating film industrial control method of the present invention, the fuzzy output is calculated using the maximum-minimum synthesis method, as follows:

[0029] When the coating quality prediction result is unqualified, the fuzzy output of the current parameters needs to be calculated, then,

[0030] Y=min(f(X T ),f(X F ),f(X V ))

[0031] Among them, f(X T ) represents the output of the fuzzy membership function of the temperature parameter, f(X F ) represents the output of the fuzzy membership function of the pressure parameter, f(X V ) represents the output of the fuzzy membership function of the speed parameter, and Y represents the fuzzy output of the calculated current parameter;

[0032] When the laminating quality prediction result is qualified, it means that the parameters in the current laminating operation process are within the optimal production range, and there is no need to adjust the current parameters, so there is no need to calculate the fuzzy output of the current parameters;

[0033] Among them, the centroid method is used to defuzzify and convert the fuzzy output into the parameter value that needs to be adjusted to form the adjustment of the coating parameters, as follows:

[0034]

[0035] Among them, y represents the actual adjusted value after conversion, Y i The fuzzy outputs of all parameters that lead to unqualified coating quality include the fuzzy outputs corresponding to temperature parameters not meeting the optimal production range, the fuzzy outputs corresponding to pressure parameters not meeting the optimal production range, and the fuzzy outputs corresponding to speed parameters not meeting the optimal production range.

[0036] As a preferred solution of the pre-coating film industrial control method described in the present invention, the interference score calculated based on the extracted features is specifically calculated as follows:

[0037] According to the extracted electrostatic spark features I Ge And dust particle size characteristics I Gh Complete the analysis and prediction of coating quality, specifically,

[0038] According to the coating quality requirements, the quality standard score Q and the upper and lower limits of the quality standard score are set, and according to the historical data records, the static spark feature weight w in the score composition is set e And the dust particle weight w h , then there is,

[0039] Q=w e ·I′ Ge +w h ·I′ Gh

[0040] Q min <Q<Q max

[0041] Among them, w e ·I′ Ge represents the interference score of the electrostatic spark feature in the standard score, w h ·I′ Gh represents the interference score of dust particle size characteristics in the standard score, Q min Indicates the lower limit of the film quality standard score, Q max Indicates the upper limit of the lamination quality standard score;

[0042] Calculate the interference score of the electrostatic spark feature extracted from the current image data and the interference score of the dust particle size, then we have,

[0043] Q e =w e I Ge

[0044] Q h =w h I Gh

[0045] Among them, w e represents the characteristic weight of electrostatic spark, w h Represents the dust particle weight, I Ge represents the extracted electrostatic spark features, I Gh represents the extracted dust particle size feature, Q e represents the interference score of the electrostatic spark feature extracted from the current image data, Q h Indicates the dust particle size interference score extracted from the current image data. The coating quality is analyzed and predicted based on the calculated interference score, as follows:

[0046] When the calculated interference score satisfies the formula (Q e +Q h ≤Q min )∨(Q e +Q h ≥Q max ), it means that the electrostatic interference and environmental quality interference in the current lamination production process have caused the lamination quality to be unqualified, and further judgment is made through secondary analysis;

[0047] When the calculated interference score satisfies the formula Q min <Q e +Q h <Q max When , it means that the current lamination is qualified, and the influence of electrostatic interference and environmental quality interference on the quality of lamination can be ignored;

[0048] The secondary analysis is performed by comparing the electrostatic spark feature interference score Q extracted from the current image data e And the dust particle interference score Q extracted from the current image data h The size of the influencing factors can be determined, and then which influencing factors need to be adjusted, as follows:

[0049] When the comparison result satisfies the formula Q e ≥Q h When it is on, it means that the static electricity factor reduces the coating quality, and the static electricity elimination technology should be used immediately for adjustment;

[0050] When the comparison result satisfies the formula Qe <Q h When it is, it means that environmental quality factors reduce the quality of the coating, and environmental cleaning technology should be used immediately for adjustment.

[0051] As a preferred solution of the pre-coating film industrial control method described in the present invention, the intelligent control of static elimination and environmental cleaning based on the coating quality is specifically implemented as follows:

[0052] When performing static elimination, high-frequency sound waves exert force on the static charge on the surface of charged objects by emitting sound pressure waves to achieve static elimination;

[0053] When cleaning the environment, high-frequency sound waves exert force on dust in the air by emitting sound pressure waves to purify the environment;

[0054] The acoustic pressure wave is the pressure fluctuation caused by the propagation of the acoustic wave in the medium. The specific implementation formula is as follows:

[0055] p=p0·cos(wt+φ)

[0056] Among them, p represents the size of the sound pressure wave, p0 represents the sound pressure amplitude, w represents the angular frequency, and according to the sound wave frequency f, we have, w = 2πf, t represents the time unit, φ represents the initial phase of the sound wave;

[0057] The static elimination is achieved based on the force exerted by the sound pressure wave on the static charge on the surface of the charged object. The specific calculation formula of the static charge force is as follows:

[0058]

[0059] p e =(1+ΔQ)p0·cos(wt+φ)

[0060] Among them, p e represents the sound pressure wave used for static elimination, v represents the transmission speed of the sound wave in the current medium. The medium in this embodiment takes air as an example. In practical applications, the medium of practical application is mainly used. p0 represents the sound pressure amplitude, w represents the angular frequency, and is obtained according to the sound wave frequency f. Then, w=2πf, t represents the time unit, φ represents the initial phase of the sound wave, and ΔQ represents the score change of the influencing factor that needs to be eliminated, which is determined by the difference between the current interference score and the standard score;

[0061] The environmental purification is based on the force exerted by sound waves on dust particles in the air, causing the dust particles to vibrate and move, thereby completing the purification of the environment. The specific calculation formula of the force is as follows:

[0062] F h =mp h

[0063] ph =p0·cos((1+ΔQ)wt+φ)

[0064] Among them, p h Represents the sound pressure wave used for environmental purification, m represents the mass of dust particles, p0 represents the sound pressure amplitude, w represents the angular frequency, and according to the sound wave frequency f, w=2πf, t represents the time unit, φ represents the initial phase of the sound wave, ΔQ represents the score change of the influencing factors that need to be eliminated, which is determined by the difference between the current interference score and the standard score.

[0065] As a preferred solution of the pre-coating industrial control system described in the present invention, it includes: an operating parameter control module, an electrostatic elimination and environmental cleaning module and an intelligent diagnosis module; the operating parameter control module is used to intelligently adjust the coating operating parameters; the electrostatic elimination and environmental cleaning module is used to achieve electrostatic elimination and environmental cleaning during the coating process; the intelligent diagnosis module is used to complete intelligent diagnosis of the coating equipment.

[0066] The beneficial effects of the present invention are as follows: the present invention can ensure that the coating parameters are always within the normal working range through real-time monitoring and intelligent adjustment technology, thereby improving product quality and production efficiency; utilizing the combination of visual processing technology and high-frequency sound wave technology, effectively realizing intelligent control of static electricity elimination and environmental cleaning, further improving product quality; the constructed intelligent diagnosis algorithm can monitor the operating status of the equipment in real time, ensure stable operation of the equipment, and reduce the failure rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0068] Figure 1 The figure is a schematic diagram of the overall method steps of a pre-coating film industrial control method of the present invention.

[0069] Figure 2 The figure is a schematic diagram of the overall structure of a pre-coating film industrial control system of the present invention. DETAILED DESCRIPTION

[0070] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0071] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0072] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0073] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0074] Meanwhile, in the description of the present invention, it should be noted that the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0075] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0076] Example 1

[0077] Reference Figure 1 , which is the first embodiment of the present invention, provides a pre-coating film industrial control method, comprising the following steps:

[0078] S1: Precisely control temperature, pressure and speed through real-time monitoring and intelligent adjustment technology.

[0079] Specifically, precise control of temperature, pressure and speed through real-time monitoring and intelligent adjustment technology includes:

[0080] S1.1: Install high-precision sensors and control terminals to monitor the temperature, pressure and speed parameters of the laminating equipment in real time;

[0081] Specifically, the temperature, pressure and speed parameters of the laminating equipment are monitored in real time by installing high-precision sensors and control terminals. High-precision sensors are installed on the laminating equipment to collect the temperature, pressure and speed parameters of the laminating equipment, and the collected parameters are transmitted to the control terminal through wireless transmission technology. The control terminal dynamically controls the laminating equipment according to the intelligent control technology.

[0082] Furthermore, the high-precision sensors include temperature sensors, pressure sensors and speed sensors. The temperature sensor is installed in the heating roller and cooling area of ​​the laminating equipment to collect the temperature parameter T in real time. The pressure sensor is installed in the roller area of ​​the laminating equipment to collect the pressure parameter F applied during the laminating process in real time. The speed sensor is installed in the transmission area of ​​the laminating equipment to collect the operating speed parameter V of the laminating equipment in real time.

[0083] It should be noted that in order to improve the control of the pre-coating process, the collected temperature parameters, pressure parameters and speed parameters are constructed into a data set of feature vectors, and the parameters are used as the eigenvalues ​​of the feature vectors, then, X = [T i ,F i ,V i ], i = 1, 2, 3, ..., n, where n represents the total number of data collections and i represents the serial number of the number of collections.

[0084] S1.2: Automatically adjust the lamination parameters through intelligent control technology to ensure that the parameters are always within the normal working range;

[0085] Specifically, the automatic adjustment of laminating parameters by intelligent control technology is to formulate fuzzy rules using the constructed feature vectors, and then automatically adjust the operating parameters of the laminating equipment according to the fuzzy reasoning results;

[0086] Furthermore, the fuzzy rule takes the historical data as the basis and sets the fuzzy membership function in combination with the constructed feature vector. According to the output result of the constructed fuzzy membership function, the quality of the coating is predicted, as follows:

[0087] According to the historical coating data, the upper and lower limits of each parameter are set, and the optimal production range of each parameter is set according to the set upper and lower limits. Then, the optimal production range of the temperature parameter satisfies the formula [T min ,T max ]; The optimal production range of pressure parameters satisfies the formula [F min ,F max ]; The optimal production range of speed parameters satisfies the formula [V min ,V max ];

[0088] According to the set optimal production range, the parameter fuzzy membership function is constructed as follows:

[0089]

[0090] Among them, f(X i ) represents the fuzzy membership function of the eigenvalue in the eigenvector, is the fuzzy membership function of each parameter in the laminating process, X i represents the characteristic value, which is the temperature parameter, pressure parameter and speed parameter. i_min Indicates the lower limit value of each parameter set according to historical data, X i_max Indicates the upper limit value of each parameter set according to historical data;

[0091] According to the output results of the fuzzy membership function, the quality of the coating under the influence of the current data parameters is predicted. The specific prediction is as follows:

[0092] When the fuzzy membership function is used for the output of each parameter, any parameter output result satisfies the formula (f(X i )=1)∨(f(X i )=0), it means that the lamination quality is unqualified under the effect of the current data parameters;

[0093] When the fuzzy membership function is used for the output of each parameter, all parameter output results satisfy the formula (f(X i )≠1)∧(f(X i )≠0), it means that the lamination quality is qualified under the current data parameters.

[0094] Furthermore, the automatic adjustment of the operating parameters of the laminating equipment according to the fuzzy reasoning results is based on the laminating quality prediction results, the fuzzy output is calculated using the maximum-minimum synthesis method, and finally the centroid method is used for defuzzification to convert the fuzzy output into the parameter value that needs to be adjusted.

[0095] Specifically, the calculation of fuzzy output using the maximum-minimum synthesis method is based on the comprehensive calculation of the coating quality prediction results and the fuzzy membership function results, as follows:

[0096] When the coating quality prediction result is unqualified, the fuzzy output of the current parameters needs to be calculated, then,

[0097] Y=min(f(X T ),f(X F ),f(X V ))

[0098] Among them, f(X T ) represents the output of the fuzzy membership function of the temperature parameter, f(X F ) represents the output of the fuzzy membership function of the pressure parameter, f(X V) represents the output of the fuzzy membership function of the speed parameter, and Y represents the fuzzy output of the calculated current parameter;

[0099] When the laminating quality prediction result is qualified, it means that the parameters in the current laminating operation process are within the optimal production range, and there is no need to adjust the current parameters, so there is no need to calculate the fuzzy output of the current parameters.

[0100] Defuzzification using the centroid method is to use the centroid algorithm to convert the calculated fuzzy output into the actual adjusted value, and adjust the laminating parameters according to the actual adjusted value to ensure that the data parameters are within the optimal production range, thereby ensuring the quality of the laminating. The details are as follows:

[0101]

[0102] Among them, y represents the actual adjusted value after conversion, Y i The fuzzy outputs of all parameters that lead to unqualified coating quality include the fuzzy outputs corresponding to temperature parameters not meeting the optimal production range, the fuzzy outputs corresponding to pressure parameters not meeting the optimal production range, and the fuzzy outputs corresponding to speed parameters not meeting the optimal production range.

[0103] It should be noted that, by automatically adjusting the parameters of the current laminating operation according to the converted actual adjustment values, the quality of the laminating by the laminating equipment can be ensured.

[0104] S2: Intelligent control of static electricity elimination and environmental cleaning based on visual processing technology.

[0105] Specifically, the intelligent control of static electricity elimination and environmental cleaning based on visual processing technology is achieved by introducing visual processing technology into the laminating production line, real-time monitoring of static electricity and environmental conditions during the laminating operation, and based on the monitored conditions, intelligent control of static electricity elimination and environmental cleaning is performed.

[0106] Furthermore, visual processing technology uses high-resolution cameras and image processing algorithms to extract the characteristics of electrostatic sparks and dust particle size, and analyze and predict the coating quality based on the extracted characteristics. The specific implementation is as follows:

[0107] A high-resolution camera is used to collect image data I in the working area of ​​the laminating machine, and the collected image data is grayed and contrast enhanced by using image preprocessing technology, so as to improve the image quality on the basis of reducing the image complexity;

[0108] Through brightness features and morphological features, the electrostatic spark features and dust particle size features are extracted from the collected image data, and the extracted features and the collected image data are used to construct a new feature vector, then, IG =[I G1 ,I G2 ,...,I Gn ], I Gn Indicates features extracted from image data. In this embodiment, electrostatic sparks and dust particle size are used as representatives for illustration. In actual applications, multiple other features can be extracted according to actual influencing factors.

[0109] According to the extracted electrostatic spark features I Ge And dust particle size characteristics I Gh Complete the analysis and prediction of coating quality, specifically,

[0110] According to the coating quality requirements, the quality standard score Q and the upper and lower limits of the quality standard score are set, and according to the historical data records, the static spark feature weight w in the score composition is set e And the dust particle weight w h , then there is,

[0111] Q=w e ·I′ Ge +w h ·I′ Gh

[0112] Q min <Q<Q max

[0113] Among them, w e ·I′ Ge represents the interference score of the electrostatic spark feature in the standard score, w h ·I′ Gh represents the interference score of dust particle size characteristics in the standard score, Q min Indicates the lower limit of the film quality standard score, Q max Indicates the upper limit of the lamination quality standard score;

[0114] Calculate the interference score of the electrostatic spark feature extracted from the current image data and the interference score of the dust particle size, then we have,

[0115] Q e =w e I Ge

[0116] Q h =w h I Gh

[0117] Among them, w e represents the characteristic weight of electrostatic spark, w h Represents the dust particle weight, I Ge represents the extracted electrostatic spark features, I Ghrepresents the extracted dust particle size feature, Q e represents the interference score of the electrostatic spark feature extracted from the current image data, Q h Indicates the dust particle size interference score extracted from the current image data. The coating quality is analyzed and predicted based on the calculated interference score, as follows:

[0118] When the calculated interference score satisfies the formula (Q e +Q h ≤Q min )∨(Q e +Q h ≥Q max ), it means that the electrostatic interference and environmental quality interference in the current lamination production process have caused the lamination quality to be unqualified, and further judgment is made through secondary analysis;

[0119] When the calculated interference score satisfies the formula Q min <Q e +Q h <Q max When , it means that the current lamination is qualified, and the influence of electrostatic interference and environmental quality interference on the quality of lamination can be ignored;

[0120] The secondary analysis is performed by comparing the electrostatic spark feature interference score Q extracted from the current image data e And the dust particle interference score Q extracted from the current image data h The size of the influencing factors can be determined, and then which influencing factors need to be adjusted, as follows:

[0121] When the comparison result satisfies the formula Q e ≥Q h When it is on, it means that the static electricity factor reduces the coating quality, and the static electricity elimination technology should be used immediately for adjustment;

[0122] When the comparison result satisfies the formula Q e <Q h When it is, it means that environmental quality factors reduce the quality of the coating, and environmental cleaning technology should be used immediately for adjustment.

[0123] Furthermore, intelligent control of static electricity elimination and environmental cleaning is achieved by introducing high-frequency sound wave technology, eliminating static electricity and dust based on the analysis results, thereby achieving intelligent control of static electricity elimination and environmental cleaning.

[0124] Specifically, the elimination of static electricity and dust is achieved by introducing high-frequency sound wave technology, as follows:

[0125] When static electricity is eliminated, high-frequency sound waves exert force on the static charge on the surface of the charged object by emitting sound pressure waves, thereby redistributing the static charge and achieving static electricity elimination;

[0126] When cleaning the environment, high-frequency sound waves exert force on dust in the air by emitting sound pressure waves, causing the dust particles to vibrate and move, thereby dispersing the dust from the surface of objects and completing environmental purification.

[0127] Acoustic pressure wave is the pressure fluctuation caused by sound wave propagating in the medium. The specific implementation formula is as follows:

[0128] p=p0·cos(wt+φ)

[0129] Among them, p represents the size of the sound pressure wave, p0 represents the sound pressure amplitude, w represents the angular frequency, and according to the sound wave frequency f, we have, w = 2πf, t represents the time unit, φ represents the initial phase of the sound wave;

[0130] Static electricity elimination is achieved based on the force exerted by sound pressure waves on the static charge on the surface of charged objects. The specific calculation formula for the static charge force is as follows:

[0131]

[0132] p e =(1+ΔQ)p0·cos(wt+φ)

[0133] Among them, p e represents the sound pressure wave used for static elimination, v represents the transmission speed of the sound wave in the current medium. The medium in this embodiment takes air as an example. In practical applications, the medium of practical application is mainly used. p0 represents the sound pressure amplitude, w represents the angular frequency, and is obtained according to the sound wave frequency f. Then, w=2πf, t represents the time unit, φ represents the initial phase of the sound wave, and ΔQ represents the score change of the influencing factor that needs to be eliminated, which is determined by the difference between the current interference score and the standard score;

[0134] Environmental purification is based on the force exerted by sound waves on dust particles in the air, causing the dust particles to vibrate and move, thereby completing the purification of the environment. The specific calculation formula for the force is as follows:

[0135] F h =mp h

[0136] p h =p0·cos((1+ΔQ)wt+φ)

[0137] Among them, p h Represents the sound pressure wave used for environmental purification, m represents the mass of dust particles, p0 represents the sound pressure amplitude, w represents the angular frequency, and according to the sound wave frequency f, w=2πf, t represents the time unit, φ represents the initial phase of the sound wave, ΔQ represents the score change of the influencing factors that need to be eliminated, which is determined by the difference between the current interference score and the standard score.

[0138] It should be noted that the score change ΔQ for the factors that need to be eliminated is determined by the difference between the current interference score and the standard score, as follows:

[0139] ΔQ=|Q e +Q h -Q|

[0140] QQ min <ΔQ<Q max -Q

[0141] Among them, Q e represents the interference score of the electrostatic spark feature extracted from the current image data, Q h represents the dust particle interference score extracted from the current image data, Q represents the quality standard score, and Q min Indicates the lower limit of the film quality standard score, Q max Indicates the upper limit of the lamination quality standard score, QQ min <ΔQ<Q max -Q is used to limit the adjustment range to ensure that the adjusted score meets the limit range of the lamination quality standard score.

[0142] S3: Achieve safe control of the stable operation of laminating equipment based on intelligent diagnosis algorithms.

[0143] Specifically, the safety control of the stable operation of the time laminating equipment based on the intelligent diagnosis algorithm is achieved by collecting the operating parameters of the laminating equipment, monitoring the collected parameters in real time, and controlling the equipment safely according to the monitored parameter status.

[0144] Furthermore, collecting the operating parameters of the laminating equipment is to use the control terminal to collect real-time information on the operating status parameters of the laminating equipment, and compare the collected information with the historical operating data of the current laminating equipment, as follows:

[0145] The collected parameters are used as feature values ​​and sorted according to the collected time series format to construct the coating equipment state parameter feature vector N = [N t1 ,N t2 ,N t3 ,....,N tn ];

[0146] At the same time, a comparison vector N′=[N t ′1,N t ′2,N t ′3,....,N t ' n ], the collection environment of the comparison vector is the environment in which the device operates normally;

[0147] Then, a control vector N″=[N t ″1,N t ″2,N t ″3,....,N t ″ n ], the collection environment of the control vector is an environment where the device cannot operate normally, but the time node of the eigenvalue is the same as that of the constructed eigenvector;

[0148] By calculating the difference between the eigenvalues ​​in the comparison vector and the control vector, the fluctuation range of the normal operation parameters of the equipment is obtained, and the calculated result is used to construct a reference vector N″′=[ΔN t ″1′,ΔN t ″2′,ΔN t ″3′,...,ΔN t ″ n ′], the eigenvalues ​​in the reference vector are used as reference values ​​for the parameter fluctuations of the laminating equipment.

[0149] The safety control of the equipment according to the monitored parameter status is to compare the difference between the eigenvalues ​​of the eigenvector and the comparison vector with the eigenvalue of the reference vector, and realize the safety control of the laminating equipment according to the comparison result, as follows:

[0150] The difference between the eigenvalues ​​of the eigenvector and the comparison vector is constructed in the same format as the eigenvector to form a difference vector ΔN = [ΔN t1 ,ΔN t2 ,ΔN t3 ,...,ΔN tn ];

[0151] Compare the eigenvalue of the difference vector with the eigenvalue of the reference vector, and implement safety control of the equipment based on the comparison results.

[0152] When the comparison result satisfies the formula ΔN ti >ΔN t ' i When ″,i=1,2,3,...,n, it means that the current operation status of the device is faulty and the parameters corresponding to the specific characteristic values ​​need to be adjusted until the device can operate safely;

[0153] When the comparison result satisfies the formula ΔN ti ≤ΔN t ' i When ″,i=1,2,3,...,n, it indicates that the current equipment is in good operating condition. The equipment continues to be in good condition and the operating parameters are monitored in real time to ensure stable operation of the equipment.

[0154] Example 2

[0155] Reference Figure 2 , which is a second embodiment of the present invention, provides a pre-coating film industrial control system, including an operation parameter control module, an electrostatic elimination and environmental cleaning module and an intelligent diagnosis module;

[0156] Specifically, the operating parameter control module is used to intelligently adjust the laminating operating parameters; the static elimination and environmental cleaning module is used to achieve static elimination and environmental cleaning during the laminating process; and the intelligent diagnosis module is used to complete intelligent diagnosis of the laminating equipment.

[0157] Furthermore, the operating parameter control module is the core of the system and is responsible for intelligently regulating key operating parameters such as temperature, pressure and speed of the laminating equipment; the operating parameter control module collects various parameters of the laminating equipment in real time through high-precision sensors, including temperature sensors installed in the heating roller and cooling area to collect temperature parameters, pressure sensors installed in the roller area to collect pressure parameters, and speed sensors installed in the transmission area to collect speed parameters;

[0158] After the collected parameter data is processed, it is constructed into a data set of feature vectors and used as the eigenvalues ​​of the feature vectors. The system uses the constructed fuzzy rules to predict the lamination quality according to the fuzzy membership function output of the eigenvalues ​​in the feature vectors. When the prediction result is unqualified, the system will calculate the fuzzy output of the current parameters according to the maximum-minimum synthesis method, and use the centroid method to defuzzify, converting the fuzzy output into the parameter value that needs to be adjusted, thereby realizing automatic adjustment of the lamination parameters to ensure that the parameters are always within the normal working range;

[0159] The static electricity elimination and environmental cleaning module is an important guarantee for the stability of the laminating process. The static electricity elimination and environmental cleaning module uses visual processing technology to extract the characteristics of static electricity sparks and dust particle size, and calculates the interference score based on the extracted characteristics. According to the interference score, the system can determine whether the laminating quality is affected by static electricity and dust.

[0160] Once the system detects that the interference score exceeds the preset threshold, it will trigger high-frequency sound wave technology to achieve intelligent control of static elimination and environmental cleaning. This function can effectively remove static electricity and dust generated during the lamination process to prevent them from having adverse effects on the lamination quality, thereby ensuring that the lamination process is carried out in a clean and interference-free environment.

[0161] The intelligent diagnosis module is the key to the safe operation of the system. Based on the intelligent diagnosis algorithm, the intelligent diagnosis module monitors the operating status of the laminating equipment in real time and performs intelligent analysis on it. Once an abnormality or failure is found in the equipment, the system will immediately issue an early warning and provide a corresponding solution;

[0162] It can not only improve the reliability and stability of the equipment, but also reduce maintenance costs and improve production efficiency. Through the linkage with the operation parameter control module and the static elimination and environmental cleaning module, the intelligent diagnosis module can realize all-round monitoring and management of the laminating equipment, ensuring the efficiency, stability and high quality of the entire laminating process.

[0163] It should be noted that the system, through modular design, achieves precise control of operating parameters such as temperature, pressure, speed, etc., and combines static elimination, environmental cleaning and intelligent diagnostic functions to ensure the efficiency, stability and high quality of the laminating process. At the same time, the modules are closely linked and interact with each other, which jointly ensures the efficiency, stability and high quality of the laminating process.

[0164] Furthermore, if the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0165] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0166] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0167] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0168] It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but for those of ordinary skill having the benefit of this disclosure, the development effort will be a routine task of design, fabrication, and production without undue experimentation.

[0169] 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 preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A pre-coating film industrial control method, characterized in that: The following steps are included: Through real-time monitoring and intelligent adjustment technology, precise control of temperature, pressure and speed is achieved. include, Monitor the temperature, pressure and speed parameters of the laminating equipment and construct feature vectors, use the constructed feature vectors to construct fuzzy rules, and predict the laminating quality according to the output of the fuzzy membership function in the fuzzy rules, and calculate the fuzzy output based on the predicted result of the laminating quality, and convert the fuzzy output into the parameter value that needs to be adjusted through defuzzification; The temperature, pressure and speed parameters of the laminating equipment are collected by temperature sensors, pressure sensors and speed sensors respectively. The temperature sensors are installed in the heating roller and cooling area of ​​the laminating equipment to collect temperature parameters in real time. The pressure sensor is installed in the roller area of ​​the laminating equipment to collect the pressure parameters applied during the laminating process in real time. The speed sensor is installed in the transmission area of ​​the laminating equipment to collect the running speed parameters of the laminating equipment in real time. ; The collected temperature parameters, pressure parameters and speed parameters are constructed into a data set of feature vectors, and the parameters are used as the eigenvalues ​​of the feature vectors, then, ,in, Indicates the total number of data collections. Indicates the number of collection times; The specific construction process of the fuzzy rules is as follows: According to the historical coating data, the upper and lower limits of each parameter are set, and the optimal production range of each parameter is set according to the set upper and lower limits. Then, the optimal production range of the temperature parameter satisfies the formula ; The optimal production range of pressure parameters satisfies the formula ; The optimal production range of speed parameters satisfies the formula ; According to the set optimal production range, the parameter fuzzy membership function is constructed as follows: in, The fuzzy membership function representing the eigenvalue in the eigenvector is the fuzzy membership function of each parameter in the laminating process. Represents the characteristic value, which is the temperature parameter, pressure parameter and speed parameter. Indicates the lower limit value of each parameter set according to historical data. Indicates the upper limit value of each parameter set according to historical data; According to the output results of the fuzzy membership function, the quality of the coating under the influence of the current data parameters is predicted. The specific prediction is as follows: When the fuzzy membership function is used for the output of each parameter, any parameter output result satisfies the formula When , it means that the lamination quality is unqualified under the current data parameters; When the fuzzy membership function is used for the output of each parameter, all parameter output results satisfy the formula When , it means that under the effect of the current data parameters, the lamination quality is qualified; Intelligent control of static elimination and environmental cleaning based on visual processing technology, specifically: The laminating quality is continuously tested based on the adjusted laminating equipment, including: Use visual processing technology to extract the characteristics of static sparks and dust particle size, calculate the interference score based on the extracted characteristics, judge the coating quality based on the interference score, and realize intelligent control of static elimination and environmental cleaning based on the coating quality; Realize safe control of stable operation of laminating equipment based on intelligent diagnosis algorithm.

2. A pre-coating film industrial control method as claimed in claim 1, characterized in that: The fuzzy output is calculated using the maximum-minimum synthesis method, as follows: When the coating quality prediction result is unqualified, the fuzzy output of the current parameters needs to be calculated, then, in, represents the output of the fuzzy membership function of the temperature parameter, represents the output of the fuzzy membership function of the pressure parameter, The output of the fuzzy membership function representing the speed parameter, A fuzzy output representing the current parameters of the calculation; When the laminating quality prediction result is qualified, it means that the parameters in the current laminating operation process are within the optimal production range, and there is no need to adjust the current parameters, so there is no need to calculate the fuzzy output of the current parameters; Among them, the centroid method is used to defuzzify and convert the fuzzy output into the parameter value that needs to be adjusted to form the adjustment of the coating parameters, as follows: in, Indicates the actual adjusted value after conversion, The fuzzy outputs of all parameters that lead to unqualified coating quality include the fuzzy outputs corresponding to temperature parameters not meeting the optimal production range, the fuzzy outputs corresponding to pressure parameters not meeting the optimal production range, and the fuzzy outputs corresponding to speed parameters not meeting the optimal production range.

3. A pre-coating film industrial control method as claimed in claim 2, characterized in that: The interference score calculated based on the extracted features is specifically calculated as follows: According to the extracted electrostatic spark characteristics And dust particle size characteristics Complete the analysis and prediction of coating quality, specifically, Set quality standard scores according to lamination quality requirements , as well as the upper and lower limits of the quality standard score, and set the static spark feature weight in the score composition based on historical data records And the dust particle weight , then there is, in, Indicates the interference score of the electrostatic spark feature in the standard score, Indicates the interference score of dust particle size characteristics in the standard score, Indicates the lower limit of the lamination quality standard score. Indicates the upper limit of the lamination quality standard score; Calculate the interference score of the electrostatic spark feature extracted from the current image data and the interference score of the dust particle size, then we have, in, represents the electrostatic spark feature weight, represents the dust particle weight, represents the extracted electrostatic spark features, represents the extracted dust particle size characteristics, represents the interference score of the electrostatic spark feature extracted from the current image data, Indicates the dust particle size interference score extracted from the current image data. The coating quality is analyzed and predicted based on the calculated interference score, as follows: When the calculated interference score satisfies the formula When , it means that the electrostatic interference and environmental quality interference in the current lamination production process have caused the lamination quality to be unqualified, and further judgment is made through secondary analysis; When the calculated interference score satisfies the formula When , it means the current lamination is qualified; The secondary analysis is performed by comparing the electrostatic spark feature interference score extracted from the current image data And the dust particle interference score extracted from the current image data The size of the influencing factors can be determined, and then which influencing factors need to be adjusted, as follows: When the comparison result satisfies the formula When it is on, it means that the static electricity factor reduces the coating quality, and the static electricity elimination technology should be used immediately for adjustment; When the comparison result satisfies the formula When it is, it means that environmental quality factors reduce the quality of the coating, and environmental cleaning technology should be used immediately for adjustment.

4. A pre-coating film industrial control method as claimed in claim 3, characterized in that: The intelligent control of static elimination and environmental cleaning based on coating quality is specifically implemented as follows: When performing static elimination, high-frequency sound waves exert force on the static charge on the surface of charged objects by emitting sound pressure waves to achieve static elimination; When cleaning the environment, high-frequency sound waves exert force on dust in the air by emitting sound pressure waves to purify the environment; The acoustic pressure wave is the pressure fluctuation caused by the propagation of the acoustic wave in the medium. The specific implementation formula is as follows: in, represents the size of the sound pressure wave, represents the sound pressure amplitude, Indicates the angular frequency, according to the sound wave frequency It follows that, , Indicates the time unit, Indicates the initial phase of the sound wave; The static elimination is achieved based on the force exerted by the sound pressure wave on the static charge on the surface of the charged object. The specific calculation formula of the static charge force is as follows: in, represents the sound pressure wave used for static elimination, Indicates the transmission speed of sound waves in the current medium. represents the sound pressure amplitude, Indicates the angular frequency, according to the sound wave frequency It follows that, , Indicates the time unit, represents the initial phase of the sound wave, Indicates the score change that needs to eliminate the influencing factor, which is determined by the difference between the current interference score and the standard score; The environmental purification is based on the force exerted by sound waves on dust particles in the air, causing the dust particles to vibrate and move, thereby completing the purification of the environment. The specific calculation formula of the force is as follows: in, represents the sound pressure wave used for environmental purification, represents the mass of the dust particles, represents the sound pressure amplitude, Indicates the angular frequency, according to the sound wave frequency It follows that, , Indicates the unit of time, represents the initial phase of the sound wave, The score change that indicates the need to eliminate the influencing factor is determined by the difference between the current interference score and the standard score.

5. A system using the pre-coating film industrial control method according to any one of claims 1 to 4, characterized in that: Including operating parameter control module, static elimination and environmental cleaning module and intelligent diagnosis module; The operating parameter control module is used to intelligently adjust the lamination operating parameters; The static electricity elimination and environmental cleaning module is used to achieve static electricity elimination and environmental cleaning during the coating process; The intelligent diagnosis module is used to complete the intelligent diagnosis of the laminating equipment.

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