CN116786372A - DMF coating thickness control system based on slit plate coater - Google Patents
DMF coating thickness control system based on slit plate coater Download PDFInfo
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- 239000011248 coating agent Substances 0.000 title claims abstract description 300
- 238000012545 processing Methods 0.000 claims abstract description 84
- 238000005457 optimization Methods 0.000 claims abstract description 50
- 238000001514 detection method Methods 0.000 claims abstract description 38
- 230000002159 abnormal effect Effects 0.000 claims abstract description 35
- 238000004458 analytical method Methods 0.000 claims abstract description 35
- 238000000034 method Methods 0.000 claims abstract description 29
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- 239000004615 ingredient Substances 0.000 claims description 12
- 230000005856 abnormality Effects 0.000 claims description 10
- 239000000758 substrate Substances 0.000 claims description 10
- 238000013433 optimization analysis Methods 0.000 claims description 9
- 238000006073 displacement reaction Methods 0.000 claims description 7
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- 238000010219 correlation analysis Methods 0.000 abstract description 4
- 238000000556 factor analysis Methods 0.000 abstract description 3
- 238000007405 data analysis Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 abstract description 2
- ZMXDDKWLCZADIW-UHFFFAOYSA-N N,N-Dimethylformamide Chemical compound CN(C)C=O ZMXDDKWLCZADIW-UHFFFAOYSA-N 0.000 description 46
- 239000000463 material Substances 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000003973 paint Substances 0.000 description 2
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- 238000007792 addition Methods 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 239000006223 plastic coating Substances 0.000 description 1
- 239000011253 protective coating Substances 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C—APPARATUS FOR APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C11/00—Component parts, details or accessories not specifically provided for in groups B05C1/00 - B05C9/00
- B05C11/10—Storage, supply or control of liquid or other fluent material; Recovery of excess liquid or other fluent material
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C—APPARATUS FOR APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C11/00—Component parts, details or accessories not specifically provided for in groups B05C1/00 - B05C9/00
- B05C11/10—Storage, supply or control of liquid or other fluent material; Recovery of excess liquid or other fluent material
- B05C11/1002—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves
- B05C11/1005—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves responsive to condition of liquid or other fluent material already applied to the surface, e.g. coating thickness, weight or pattern
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C—APPARATUS FOR APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C11/00—Component parts, details or accessories not specifically provided for in groups B05C1/00 - B05C9/00
- B05C11/10—Storage, supply or control of liquid or other fluent material; Recovery of excess liquid or other fluent material
- B05C11/1002—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves
- B05C11/1015—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves responsive to a conditions of ambient medium or target, e.g. humidity, temperature ; responsive to position or movement of the coating head relative to the target
- B05C11/1023—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves responsive to a conditions of ambient medium or target, e.g. humidity, temperature ; responsive to position or movement of the coating head relative to the target responsive to velocity of target, e.g. to web advancement rate
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Abstract
The application belongs to the field of coating processing, relates to a data analysis technology, and aims to solve the problem that a DMF coating thickness control system in the prior art cannot perform correlation analysis on parameter setting and coating effects in a processing process, and in particular relates to a DMF coating thickness control system based on a slit flat coater, which comprises a data acquisition module, a thickness detection module, a parameter optimization module, an anomaly analysis module and a storage module, wherein the thickness detection module is in communication connection with the parameter optimization module, the anomaly analysis module and the storage module, the anomaly analysis module is in communication connection with the storage module, the data acquisition module is in communication connection with the parameter optimization module, and the data acquisition module is used for acquiring processing data of the slit flat coater; the application detects and analyzes the coating thickness of the slit plate coater, feeds back the coating effect through the coating difference coefficient and the uniformity coefficient, and performs marking and anomaly factor analysis when the coating effect is abnormal.
Description
Technical Field
The application belongs to the field of coating processing, relates to a data analysis technology, and particularly relates to a DMF (dimethyl formamide) coating thickness control system based on a slit plate coater.
Background
The DMF coating is an environment-friendly, solvent-based and single-component special rubber-plastic coating, is coated by adopting a construction method of general paint and coating, can quickly form a high-strength and high-density protective coating by self-drying and curing, and has better water vapor permeation resistance and oxygen permeation resistance than general rubber;
however, the DMF coating thickness control system in the prior art can only regulate and control various parameters of the coating machine, but cannot perform correlation analysis on parameter setting and coating effects in the processing process, so that the parameters cannot be regulated to an optimal range to ensure the coating effects of all the base materials;
the application provides a solution to the technical problem.
Disclosure of Invention
The application aims to provide a DMF coating thickness control system based on a slit plate coater, which is used for solving the problem that the DMF coating thickness control system in the prior art cannot perform correlation analysis on parameter setting and coating effect in the processing process.
The technical problems to be solved by the application are as follows: how to provide a DMF coating thickness control system based on a slit plate coater, which can perform correlation analysis on parameter setting and coating effect in the processing process.
The aim of the application can be achieved by the following technical scheme: the DMF coating thickness control system based on the slit flat coater comprises a data acquisition module, a thickness detection module, a parameter optimization module, an abnormality analysis module and a storage module, wherein the thickness detection module is in communication connection with the parameter optimization module, the abnormality analysis module and the storage module, the abnormality analysis module is in communication connection with the storage module, and the data acquisition module is in communication connection with the parameter optimization module;
the data acquisition module is used for acquiring processing data of the slit plate coater: when the slit plate coater works, marking a substrate subjected to coating processing as an acquisition object, and acquiring processing data of the acquisition object when the acquisition object is subjected to coating processing; transmitting the processing data of the acquired object to a parameter optimization module;
the thickness detection module is used for detecting and analyzing the coating thickness of the slit plate coater: dividing a coating surface of an acquisition object subjected to coating processing into a plurality of detection areas, acquiring the coating thickness of the detection areas through a high-precision displacement sensor, marking the acquired coating thickness value as a coating thickness value of the detection areas, acquiring a coating difference coefficient TC and a uniform coefficient JY of the acquisition object through the coating thickness value, and carrying out numerical calculation on the coating difference coefficient TC and the uniform coefficient JY to obtain a coating quality coefficient TZ of the acquisition object; marking the acquisition object as a major score object or an abnormal object through the numerical value of the coating coefficient TZ;
the parameter optimization module is used for carrying out optimization analysis on the processing parameters of the slit plate coater, obtaining fixed parameters, optimization parameters and optimization ranges of the optimization parameters, and sending the optimization ranges of the optimization parameters to the storage module for storage;
the anomaly analysis module is used for carrying out anomaly analysis on the anomaly object, generating a discharge amount adjusting signal, a speed adjusting signal or a speed adjusting signal according to the anomaly analysis result and sending the discharge amount adjusting signal, the speed adjusting signal or the speed adjusting signal to a mobile phone terminal of a manager.
In a preferred embodiment of the present application, the processing data includes line speed data, release speed data, and release amount data, wherein the line speed data is a horizontal traveling speed of the substrate when the collection object is subjected to the coating processing, the release speed data is a DMF release speed when the collection object is subjected to the coating processing, and the release amount data is a DMF release total amount when the collection object is subjected to the coating processing.
As a preferred embodiment of the present application, the specific process of obtaining the coating difference coefficient TC and the uniformity coefficient JY of the acquisition object by the coating thickness value includes: the method comprises the steps of obtaining a coating thickness range through a storage module, marking the average value of the maximum value and the minimum value of the coating thickness range as a coating thickness standard value, marking the absolute value of the difference between the coating thickness value and the coating thickness standard value as the coating difference value of a detection area, summing the coating difference values of all the detection areas, taking the average value to obtain a coating difference coefficient TC of an acquisition object, forming a coating difference set by the coating difference values of all the detection areas, and carrying out variance calculation on the coating difference set to obtain a uniform coefficient JY of the acquisition object.
As a preferred embodiment of the present application, the specific process of marking the acquisition object as a preferential score object or an abnormal object includes: the coating quality threshold TZmax is obtained through the storage module, and the coating quality coefficient TZ is compared with the coating quality threshold TZmax: if the coating quality coefficient TZ is smaller than the coating quality threshold TZmanx, judging that the coating thickness of the acquisition object meets the requirement, marking the corresponding acquisition object as a major score object, and sending the major score object to a parameter optimization module; if the coating quality coefficient TZ is larger than or equal to the coating quality threshold TZmax, judging that the coating thickness of the acquisition object does not meet the requirement, marking the corresponding acquisition object as an abnormal object, and sending the abnormal object to an abnormal analysis module.
As a preferred embodiment of the application, the specific process of the parameter optimization module for carrying out the optimization analysis on the processing parameters of the slit plate coater comprises the following steps: the method comprises the steps of forming a coating quality range by a coating quality coefficient TZ minimum value of a maximum value of a coating quality coefficient TZ of a major-ingredient object, dividing the coating quality range into a plurality of coating quality intervals, summing up line speed data when the major-ingredient object with the coating quality coefficient positioned in the coating quality interval is coated and averaging to obtain a line speed value, summing up and averaging speed data when the major-ingredient object with the coating quality coefficient positioned in the coating quality interval is coated and averaging to obtain a speed value, and summing up and averaging the speed data when the major-ingredient object with the coating quality coefficient positioned in the coating quality interval is coated and averaging to obtain a speed value; forming a line speed set by line speed values of all coating intervals, forming a discharge set by discharge values of all coating intervals, performing variance calculation on the line speed set to obtain a line speed influence value, performing variance calculation on the discharge set to obtain a discharge influence value, and performing variance calculation on the discharge set to obtain a discharge influence value; carrying out numerical comparison on the running speed influence value, the releasing speed influence value and the releasing quantity influence value: marking the processing data corresponding to the minimum numerical value as a fixed parameter; marking the processing data corresponding to the residual numerical values as optimization parameters; and marking the coating interval with the maximum boundary value as a marked interval, and forming an optimization range by the maximum value and the minimum value of the optimization parameters in the marked interval.
As a preferred embodiment of the present application, the specific process of the abnormality analysis module for performing abnormality analysis on an abnormal object includes: the coating difference threshold value TCmax and the uniform threshold value JYmax are obtained through the storage module, and the coating difference coefficient TC and the uniform coefficient JY of the abnormal object are compared with the coating difference threshold value TCmax and the uniform threshold value JYmax respectively: if the coating difference coefficient TC is larger than or equal to the coating difference threshold value TCmax and the uniformity coefficient JY is smaller than the uniformity threshold value JYmax, generating a discharge amount adjusting signal and sending the discharge amount adjusting signal to a mobile phone terminal of a manager; if the coating difference coefficient TC is smaller than the coating difference threshold value TCmax and the uniformity coefficient JY is larger than or equal to the uniformity threshold value JYmax, generating a speed adjusting signal and sending the speed adjusting signal to a mobile phone terminal of a manager; if the coating difference coefficient TC is larger than or equal to the coating difference threshold value TCmax and the uniformity coefficient JY is larger than or equal to the uniformity threshold value JYmax, a speed adjusting signal is generated and sent to a mobile phone terminal of a manager.
The working method of the DMF coating thickness control system based on the slit plate coater comprises the following steps:
step one: collecting processing data of a slit plate coater: when the slit plate coater works, marking a substrate subjected to coating processing as an acquisition object, acquiring processing data of the acquisition object when the acquisition object performs coating processing, and sending the processing data to a parameter optimization module;
step two: the coating thickness of the slit plate coater was tested and analyzed: dividing the coating surface of an acquisition object subjected to coating processing into a plurality of detection areas, acquiring and analyzing the coating thickness of the detection areas through a high-precision displacement sensor to obtain a coating difference coefficient TC and a uniformity coefficient JY, and marking the acquisition object as a major part object or an abnormal object through the values of the coating difference coefficient TC and the uniformity coefficient JY;
step three: and carrying out optimization analysis on the processing parameters of the slit plate coater: the method comprises the steps that a coating quality range is formed by a minimum value of a coating quality coefficient TZ of a maximum value of a coating quality coefficient TZ of a major division object, the coating quality range is divided into a plurality of coating quality intervals, the coating quality interval with the largest boundary value is marked as a marked interval, an optimized range is formed by the maximum value and the minimum value of optimized parameters in the marked interval, and the optimized range is sent to a storage module for storage;
step four: performing anomaly analysis on the anomaly object: the coating difference threshold value TCmax and the uniform threshold value JYmax are obtained through the storage module, the coating difference coefficient TC and the uniform coefficient JY of the abnormal object are respectively compared with the coating difference threshold value TCmax and the uniform threshold value JYmax, and a release amount adjusting signal, a speed adjusting signal or a speed adjusting signal is sent to a mobile phone terminal of a manager through a comparison result.
The application has the following beneficial effects:
1. the processing data of the slit plate coater can be acquired through the data acquisition module, and data support is provided for the parameter optimization process through the acquisition of various parameters in the processing process;
2. the coating thickness of the slit flat coater can be detected and analyzed through the thickness detection module, the coating surface of an acquisition object subjected to coating processing is subjected to region segmentation, and then the coating thickness value of each region is detected and analyzed to obtain a coating difference coefficient and a uniformity coefficient, so that the coating effect is fed back through the coating difference coefficient and the uniformity coefficient, and marking and anomaly factor analysis are performed when the coating effect is abnormal;
3. the processing parameters of the slit flat coater can be optimized and analyzed through the parameter optimization module, the processing parameters of the major objects are integrated and analyzed to obtain fixed parameters and optimized parameters, so that the optimized parameters of a batch of major objects with the largest coating coefficient value are extracted to obtain an optimized range, and the optimized parameters in subsequent processing are optimized and adjusted through the optimized range;
4. the abnormal analysis module can be used for carrying out abnormal analysis on the abnormal object, marking the abnormal factors through the abnormal analysis result of the abnormal object, generating corresponding adjusting signals and sending the adjusting signals, so that the abnormal factors can be treated in time, and the processing quality and the processing efficiency of the coating machine are improved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the application, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present application;
fig. 2 is a flowchart of a method according to a second embodiment of the application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
As shown in fig. 1, the DMF coating thickness control system based on the slit plate coater comprises a data acquisition module, a thickness detection module, a parameter optimization module, an anomaly analysis module and a storage module, wherein the thickness detection module is in communication connection with the parameter optimization module, the anomaly analysis module and the storage module, the anomaly analysis module is in communication connection with the storage module, and the data acquisition module is in communication connection with the parameter optimization module.
The data acquisition module is used for acquiring processing data of the slit plate coater: when the slit flat coater works, marking a substrate to be coated as an acquisition object, acquiring processing data of the acquisition object when the acquisition object performs coating processing, wherein the processing data comprises line speed data, release speed data and release amount data, the line speed data is the horizontal travelling speed of the substrate when the acquisition object performs coating processing, the release speed data is the DMF release speed when the acquisition object performs coating processing, and the release amount data is the DMF release total amount when the acquisition object performs coating processing; the line speed data, the releasing speed data and the releasing quantity data of the acquisition object are sent to a parameter optimization module; and acquiring processing data of the slit plate coater, and providing data support for a parameter optimization process by acquiring various parameters in the processing process.
The thickness detection module is used for detecting and analyzing the coating thickness of the slit plate coater: dividing the coating surface of an acquisition object subjected to coating processing into a plurality of detection areas, acquiring the coating thickness of the detection areas through a high-precision displacement sensor, marking the acquired coating thickness value as a coating thickness value of the detection areas, acquiring a coating thickness range through a storage module, marking the average value of the maximum value and the minimum value of the coating thickness range as a coating thickness standard value, marking the absolute value of the difference value between the coating thickness value and the coating thickness standard value as the coating difference value of the detection areas, summing the coating difference values of all the detection areas, taking an average value to obtain a coating difference coefficient TC of the acquisition object, forming a coating difference set by the coating difference values of all the detection areas, performing variance calculation on the coating difference set to obtain a uniformity coefficient JY of the acquisition object, and obtaining a coating coefficient TZ of the acquisition object through a formula TZ=α1TC+α2JY, wherein α1 and α2 are proportionality coefficients, and α1 > α2 > 1; the coating quality threshold TZmax is obtained through the storage module, and the coating quality coefficient TZ is compared with the coating quality threshold TZmax: if the coating quality coefficient TZ is smaller than the coating quality threshold TZmanx, judging that the coating thickness of the acquisition object meets the requirement, marking the corresponding acquisition object as a major score object, and sending the major score object to a parameter optimization module; if the coating quality coefficient TZ is greater than or equal to the coating quality threshold TZmax, judging that the coating thickness of the acquisition object does not meet the requirement, marking the corresponding acquisition object as an abnormal object, and sending the abnormal object to an abnormal analysis module; the coating thickness of the slit plate coater is detected and analyzed, the coating thickness value of each region is detected and analyzed to obtain a coating difference coefficient and a uniformity coefficient by dividing the region of the coating surface of the acquisition object after coating processing, so that the coating effect is fed back by the coating difference coefficient and the uniformity coefficient, and marking and anomaly factor analysis are performed when the coating effect is abnormal.
The parameter optimization module is used for carrying out optimization analysis on the processing parameters of the slit plate coater: the method comprises the steps of forming a coating quality range by a coating quality coefficient TZ minimum value of a maximum value of a coating quality coefficient TZ of a major-ingredient object, dividing the coating quality range into a plurality of coating quality intervals, summing up line speed data when the major-ingredient object with the coating quality coefficient positioned in the coating quality interval is coated and averaging to obtain a line speed value, summing up and averaging speed data when the major-ingredient object with the coating quality coefficient positioned in the coating quality interval is coated and averaging to obtain a speed value, and summing up and averaging the speed data when the major-ingredient object with the coating quality coefficient positioned in the coating quality interval is coated and averaging to obtain a speed value; forming a line speed set by line speed values of all coating intervals, forming a discharge set by discharge values of all coating intervals, performing variance calculation on the line speed set to obtain a line speed influence value, performing variance calculation on the discharge set to obtain a discharge influence value, and performing variance calculation on the discharge set to obtain a discharge influence value; carrying out numerical comparison on the running speed influence value, the releasing speed influence value and the releasing quantity influence value: marking the processing data corresponding to the minimum numerical value as a fixed parameter; marking the processing data corresponding to the residual numerical values as optimization parameters; marking a coating interval with the maximum boundary value as a marking interval, forming an optimization range by the maximum value and the minimum value of the optimization parameters in the marking interval, and sending the optimization range to a storage module for storage; and carrying out optimization analysis on the processing parameters of the slit flat coater, and integrating and analyzing the processing parameters of the preferential objects to obtain fixed parameters and optimized parameters, so that the optimized parameters of a batch of preferential objects with the largest coating coefficient value are extracted to obtain an optimized range, and the optimized parameters in subsequent processing are optimized and regulated through the optimized range.
The abnormality analysis module is used for carrying out abnormality analysis on the abnormal object: the coating difference threshold value TCmax and the uniform threshold value JYmax are obtained through the storage module, and the coating difference coefficient TC and the uniform coefficient JY of the abnormal object are compared with the coating difference threshold value TCmax and the uniform threshold value JYmax respectively: if the coating difference coefficient TC is larger than or equal to the coating difference threshold value TCmax and the uniformity coefficient JY is smaller than the uniformity threshold value JYmax, generating a discharge amount adjusting signal and sending the discharge amount adjusting signal to a mobile phone terminal of a manager; if the coating difference coefficient TC is smaller than the coating difference threshold value TCmax and the uniformity coefficient JY is larger than or equal to the uniformity threshold value JYmax, generating a speed adjusting signal and sending the speed adjusting signal to a mobile phone terminal of a manager; if the coating difference coefficient TC is larger than or equal to a coating difference threshold value TCmax and the uniformity coefficient JY is larger than or equal to a uniformity threshold value JYmax, generating a speed adjusting signal and sending the speed adjusting signal to a mobile phone terminal of a manager; and carrying out anomaly analysis on the anomaly object, marking the anomaly factors through the anomaly analysis result of the anomaly object, generating corresponding adjusting signals and sending the adjusting signals, so that the anomaly factors can be processed in time, and the processing quality and the processing efficiency of the coating machine are improved.
Example two
As shown in fig. 2, the DMF coating thickness control method based on a slot-die coater comprises the following steps:
step one: collecting processing data of a slit plate coater: when the slit plate coater works, marking a substrate subjected to coating processing as an acquisition object, acquiring processing data of the acquisition object when the acquisition object performs coating processing, and sending the processing data to a parameter optimization module;
step two: the coating thickness of the slit plate coater was tested and analyzed: dividing the coating surface of an acquisition object subjected to coating processing into a plurality of detection areas, acquiring and analyzing the coating thickness of the detection areas through a high-precision displacement sensor to obtain a coating difference coefficient TC and a uniformity coefficient JY, and marking the acquisition object as a major part object or an abnormal object through the values of the coating difference coefficient TC and the uniformity coefficient JY;
step three: and carrying out optimization analysis on the processing parameters of the slit plate coater: the method comprises the steps that a coating quality range is formed by a minimum value of a coating quality coefficient TZ of a maximum value of a coating quality coefficient TZ of a major division object, the coating quality range is divided into a plurality of coating quality intervals, the coating quality interval with the largest boundary value is marked as a marked interval, an optimized range is formed by the maximum value and the minimum value of optimized parameters in the marked interval, and the optimized range is sent to a storage module for storage;
step four: performing anomaly analysis on the anomaly object: the coating difference threshold value TCmax and the uniform threshold value JYmax are obtained through the storage module, the coating difference coefficient TC and the uniform coefficient JY of the abnormal object are respectively compared with the coating difference threshold value TCmax and the uniform threshold value JYmax, and a release amount adjusting signal, a speed adjusting signal or a speed adjusting signal is sent to a mobile phone terminal of a manager through a comparison result.
The DMF coating thickness control system based on the slit plate coater is used for marking a substrate subjected to coating processing as an acquisition object when the slit plate coater works, acquiring processing data of the acquisition object when the acquisition object is subjected to coating processing and sending the processing data to the parameter optimization module; dividing the coating surface of an acquisition object subjected to coating processing into a plurality of detection areas, acquiring and analyzing the coating thickness of the detection areas through a high-precision displacement sensor to obtain a coating difference coefficient TC and a uniformity coefficient JY, and marking the acquisition object as a major part object or an abnormal object through the values of the coating difference coefficient TC and the uniformity coefficient JY; the method comprises the steps that a coating quality range is formed by a minimum value of a coating quality coefficient TZ of a maximum value of a coating quality coefficient TZ of a major division object, the coating quality range is divided into a plurality of coating quality intervals, the coating quality interval with the largest boundary value is marked as a marked interval, an optimized range is formed by the maximum value and the minimum value of optimized parameters in the marked interval, and the optimized range is sent to a storage module for storage; the coating difference threshold value TCmax and the uniform threshold value JYmax are obtained through the storage module, the coating difference coefficient TC and the uniform coefficient JY of the abnormal object are respectively compared with the coating difference threshold value TCmax and the uniform threshold value JYmax, and a release amount adjusting signal, a speed adjusting signal or a speed adjusting signal is sent to a mobile phone terminal of a manager through a comparison result.
The foregoing is merely illustrative of the structures of this application and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the application or from the scope of the application as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula tz=α1×tc+α2×jy; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding coating coefficient for each group of sample data; substituting the set coating coefficient and the acquired sample data into a formula, forming a binary one-time equation set by any two formulas, screening the calculated coefficient and taking an average value to obtain values of alpha 1 and alpha 2 which are respectively 3.45 and 2.17;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding paint coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the coating quality coefficient is in direct proportion to the value of the coating difference coefficient.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The DMF coating thickness control system based on the slit plate coater is characterized by comprising a data acquisition module, a thickness detection module, a parameter optimization module, an abnormality analysis module and a storage module, wherein the thickness detection module is in communication connection with the parameter optimization module, the abnormality analysis module and the storage module, the abnormality analysis module is in communication connection with the storage module, and the data acquisition module is in communication connection with the parameter optimization module;
the data acquisition module is used for acquiring processing data of the slit plate coater: when the slit plate coater works, marking a substrate subjected to coating processing as an acquisition object, and acquiring processing data of the acquisition object when the acquisition object is subjected to coating processing; transmitting the processing data of the acquired object to a parameter optimization module;
the thickness detection module is used for detecting and analyzing the coating thickness of the slit plate coater: dividing a coating surface of an acquisition object subjected to coating processing into a plurality of detection areas, acquiring the coating thickness of the detection areas through a high-precision displacement sensor, marking the acquired coating thickness value as a coating thickness value of the detection areas, acquiring a coating difference coefficient TC and a uniform coefficient JY of the acquisition object through the coating thickness value, and carrying out numerical calculation on the coating difference coefficient TC and the uniform coefficient JY to obtain a coating quality coefficient TZ of the acquisition object; marking the acquisition object as a major score object or an abnormal object through the numerical value of the coating coefficient TZ;
the parameter optimization module is used for carrying out optimization analysis on the processing parameters of the slit plate coater, obtaining fixed parameters, optimization parameters and optimization ranges of the optimization parameters, and sending the optimization ranges of the optimization parameters to the storage module for storage;
the anomaly analysis module is used for carrying out anomaly analysis on the anomaly object, generating a discharge amount adjusting signal, a speed adjusting signal or a speed adjusting signal according to the anomaly analysis result and sending the discharge amount adjusting signal, the speed adjusting signal or the speed adjusting signal to a mobile phone terminal of a manager.
2. The DMF coating thickness control system based on a slot die coater of claim 1, wherein the processing data comprises line speed data, release speed data and release amount data, the line speed data is a horizontal travelling speed of the substrate when the collection object performs the coating process, the release speed data is a DMF release speed when the collection object performs the coating process, and the release amount data is a total amount of DMF released when the collection object performs the coating process.
3. The DMF coating thickness control system based on a slot die coater according to claim 2, wherein the specific process of obtaining the coating difference coefficient TC and the uniformity coefficient JY of the collection object by the coating thickness value comprises: the method comprises the steps of obtaining a coating thickness range through a storage module, marking the average value of the maximum value and the minimum value of the coating thickness range as a coating thickness standard value, marking the absolute value of the difference between the coating thickness value and the coating thickness standard value as the coating difference value of a detection area, summing the coating difference values of all the detection areas, taking the average value to obtain a coating difference coefficient TC of an acquisition object, forming a coating difference set by the coating difference values of all the detection areas, and carrying out variance calculation on the coating difference set to obtain a uniform coefficient JY of the acquisition object.
4. The DMF coating thickness control system based on a slot die coater of claim 3, wherein the specific process of marking the collection object as a priority object or an anomaly object comprises: the coating quality threshold TZmax is obtained through the storage module, and the coating quality coefficient TZ is compared with the coating quality threshold TZmax: if the coating quality coefficient TZ is smaller than the coating quality threshold TZmanx, judging that the coating thickness of the acquisition object meets the requirement, marking the corresponding acquisition object as a major score object, and sending the major score object to a parameter optimization module; if the coating quality coefficient TZ is larger than or equal to the coating quality threshold TZmax, judging that the coating thickness of the acquisition object does not meet the requirement, marking the corresponding acquisition object as an abnormal object, and sending the abnormal object to an abnormal analysis module.
5. The DMF coating thickness control system based on a slot die coater of claim 4, wherein the parameter optimization module performs an optimization analysis of the process parameters of the slot die coater comprising: the method comprises the steps of forming a coating quality range by a coating quality coefficient TZ minimum value of a maximum value of a coating quality coefficient TZ of a major-ingredient object, dividing the coating quality range into a plurality of coating quality intervals, summing up line speed data when the major-ingredient object with the coating quality coefficient positioned in the coating quality interval is coated and averaging to obtain a line speed value, summing up and averaging speed data when the major-ingredient object with the coating quality coefficient positioned in the coating quality interval is coated and averaging to obtain a speed value, and summing up and averaging the speed data when the major-ingredient object with the coating quality coefficient positioned in the coating quality interval is coated and averaging to obtain a speed value; forming a line speed set by line speed values of all coating intervals, forming a discharge set by discharge values of all coating intervals, performing variance calculation on the line speed set to obtain a line speed influence value, performing variance calculation on the discharge set to obtain a discharge influence value, and performing variance calculation on the discharge set to obtain a discharge influence value; carrying out numerical comparison on the running speed influence value, the releasing speed influence value and the releasing quantity influence value: marking the processing data corresponding to the minimum numerical value as a fixed parameter; marking the processing data corresponding to the residual numerical values as optimization parameters; and marking the coating interval with the maximum boundary value as a marked interval, and forming an optimization range by the maximum value and the minimum value of the optimization parameters in the marked interval.
6. The DMF coating thickness control system based on a slot die coater of claim 5, wherein the specific process of the anomaly analysis module performing the anomaly analysis on the anomaly object comprises: the coating difference threshold value TCmax and the uniform threshold value JYmax are obtained through the storage module, and the coating difference coefficient TC and the uniform coefficient JY of the abnormal object are compared with the coating difference threshold value TCmax and the uniform threshold value JYmax respectively: if the coating difference coefficient TC is larger than or equal to the coating difference threshold value TCmax and the uniformity coefficient JY is smaller than the uniformity threshold value JYmax, generating a discharge amount adjusting signal and sending the discharge amount adjusting signal to a mobile phone terminal of a manager; if the coating difference coefficient TC is smaller than the coating difference threshold value TCmax and the uniformity coefficient JY is larger than or equal to the uniformity threshold value JYmax, generating a speed adjusting signal and sending the speed adjusting signal to a mobile phone terminal of a manager; if the coating difference coefficient TC is larger than or equal to the coating difference threshold value TCmax and the uniformity coefficient JY is larger than or equal to the uniformity threshold value JYmax, a speed adjusting signal is generated and sent to a mobile phone terminal of a manager.
7. The DMF coating thickness control system based on a slot die coater of any one of claims 1-6, wherein the method for operating the DMF coating thickness control system based on a slot die coater comprises the steps of:
step one: collecting processing data of a slit plate coater: when the slit plate coater works, marking a substrate subjected to coating processing as an acquisition object, acquiring processing data of the acquisition object when the acquisition object performs coating processing, and sending the processing data to a parameter optimization module;
step two: the coating thickness of the slit plate coater was tested and analyzed: dividing the coating surface of an acquisition object subjected to coating processing into a plurality of detection areas, acquiring and analyzing the coating thickness of the detection areas through a high-precision displacement sensor to obtain a coating difference coefficient TC and a uniformity coefficient JY, and marking the acquisition object as a major part object or an abnormal object through the values of the coating difference coefficient TC and the uniformity coefficient JY;
step three: and carrying out optimization analysis on the processing parameters of the slit plate coater: the method comprises the steps that a coating quality range is formed by a minimum value of a coating quality coefficient TZ of a maximum value of a coating quality coefficient TZ of a major division object, the coating quality range is divided into a plurality of coating quality intervals, the coating quality interval with the largest boundary value is marked as a marked interval, an optimized range is formed by the maximum value and the minimum value of optimized parameters in the marked interval, and the optimized range is sent to a storage module for storage;
step four: performing anomaly analysis on the anomaly object: the coating difference threshold value TCmax and the uniform threshold value JYmax are obtained through the storage module, the coating difference coefficient TC and the uniform coefficient JY of the abnormal object are respectively compared with the coating difference threshold value TCmax and the uniform threshold value JYmax, and a release amount adjusting signal, a speed adjusting signal or a speed adjusting signal is sent to a mobile phone terminal of a manager through a comparison result.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117518965A (en) * | 2023-11-08 | 2024-02-06 | 钛玛科（北京）工业科技有限公司 | Special control system for thickness measuring scanning device |
| CN117790915A (en) * | 2023-12-27 | 2024-03-29 | 天科新能源有限责任公司 | Positive and negative electrode electrolyte diaphragm lamination control system of sodium ion battery |
| CN117839986A (en) * | 2023-12-28 | 2024-04-09 | 深圳市磐锋精密技术有限公司 | Visual sensing-based assembly procedure detection system and method |
| CN118347413A (en) * | 2024-03-14 | 2024-07-16 | 江苏梅曼新能源科技有限公司 | Winding type coating detection system |
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- 2023-06-14 CN CN202310704832.0A patent/CN116786372A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117518965A (en) * | 2023-11-08 | 2024-02-06 | 钛玛科（北京）工业科技有限公司 | Special control system for thickness measuring scanning device |
| CN117518965B (en) * | 2023-11-08 | 2024-06-11 | 钛玛科（北京）工业科技有限公司 | Special control system for thickness measuring scanning device |
| CN117790915A (en) * | 2023-12-27 | 2024-03-29 | 天科新能源有限责任公司 | Positive and negative electrode electrolyte diaphragm lamination control system of sodium ion battery |
| CN117839986A (en) * | 2023-12-28 | 2024-04-09 | 深圳市磐锋精密技术有限公司 | Visual sensing-based assembly procedure detection system and method |
| CN118347413A (en) * | 2024-03-14 | 2024-07-16 | 江苏梅曼新能源科技有限公司 | Winding type coating detection system |
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