CN112558566A - Production control method and device for aluminum electrolytic capacitor - Google Patents

Production control method and device for aluminum electrolytic capacitor Download PDF

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CN112558566A
CN112558566A CN202011427701.5A CN202011427701A CN112558566A CN 112558566 A CN112558566 A CN 112558566A CN 202011427701 A CN202011427701 A CN 202011427701A CN 112558566 A CN112558566 A CN 112558566A
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CN112558566B (en
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刘劲松
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Anhui Chengyue Electronic Technology Co ltd
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Abstract

The invention discloses a production control method and a production control device for an aluminum electrolytic capacitor, wherein the method comprises the following steps: obtaining electrode aluminum foil image information through an image acquisition device so as to obtain electrode aluminum foil data; obtaining electrolytic paper image information through an image acquisition device, and further obtaining electrolytic paper data; inputting electrode aluminum foil data and electrolytic paper data into a first training model; obtaining first output information of the mobile terminal; judging whether the first matching degree meets a first preset condition or not; when the first production instruction is satisfied, obtaining a first production instruction; monitoring a winding material in the winding operation process in real time through an image acquisition device to obtain image information of the winding material; inputting image information of the winding material into a second training model; obtaining second output information of a second training model; and obtaining a first control instruction according to the second output information. The technical problem that the quality of the capacitor is influenced by the deviation of winding in the production process of the aluminum electrolytic capacitor, so that the service life of the product is shortened is solved.

Description

Production control method and device for aluminum electrolytic capacitor
Technical Field
The invention relates to the technical field of aluminum electrolytic capacitors, in particular to a production control method and a production control device for an aluminum electrolytic capacitor.
Background
Along with the gradual development of capacitor industry in recent years, the demand for electrolytic capacitor is increasing, and especially the rapid growth of consumer electronics, communication and industry pushes the growth of aluminum electrolytic capacitor, and the effect in various fields is more and more prominent.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
in the production process of the aluminum electrolytic capacitor, the quality of the aluminum electrolytic capacitor is influenced due to the angular deviation in the winding process, and the service life of the final product is shortened.
Disclosure of Invention
The embodiment of the application provides a production control method and a production control device for an aluminum electrolytic capacitor, so that the technical problem that the deviation occurs due to winding in the production process of the aluminum electrolytic capacitor to influence the capacitor quality and further shorten the product life is solved, and the technical effect of timely correcting the deflection angle occurring in the winding process and further improving the product quality of the aluminum electrolytic capacitor is achieved.
The embodiment of the application provides a production control method of an aluminum electrolytic capacitor, which is applied to a production control device, wherein the production control device comprises an image acquisition device, and the method comprises the following steps: acquiring electrode aluminum foil image information through the image acquisition device; acquiring electrode aluminum foil data according to the electrode aluminum foil image information; obtaining electrolytic paper image information through the image acquisition device; obtaining electrolytic paper data according to the electrolytic paper image information; inputting the electrode aluminum foil data and the electrolytic paper data into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the electrode aluminum foil data, the electrolytic paper data and identification information for identifying the matching degree of the data; obtaining first output information of the first training model, wherein the first output information comprises a first matching degree, and the first matching degree is used for representing the matching degree between the electrode aluminum foil and the electrolytic paper; judging whether the first matching degree meets a first preset condition or not; when the first production instruction is met, obtaining a first production instruction, wherein the first production instruction is used for carrying out winding operation on the electrode aluminum foil and the electrolytic paper to obtain a winding material; monitoring the winding material in the winding operation process in real time through the image acquisition device to obtain image information of the winding material; inputting the image information of the winding material into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the image information of the winding material and the identification information for identifying whether the winding material is inclined or not; obtaining second output information of the second training model, wherein the second output information comprises a first result and a second result, the first result is that the winding material is straight and has no deflection angle, and the second result is that the winding material has deflection angle; and obtaining a first control instruction according to the second output information, wherein the first control instruction comprises a first production instruction and a first adjusting instruction, the first production instruction is executed when the second output information is a first result, and the first adjusting instruction is executed when the output information is a second result.
In another aspect, the present application further provides a production control apparatus for an aluminum electrolytic capacitor, wherein the apparatus includes: a first obtaining unit: the first obtaining unit is used for obtaining electrode aluminum foil image information through an image acquisition device; a second obtaining unit: the second obtaining unit is used for obtaining electrode aluminum foil data according to the electrode aluminum foil image information; a third obtaining unit: the third obtaining unit is used for obtaining the image information of the electrolytic paper through the image acquisition device; a fourth obtaining unit: the fourth obtaining unit is used for obtaining electrolytic paper data according to the electrolytic paper image information; a first input unit: the first input unit is used for inputting the electrode aluminum foil data and the electrolytic paper data into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the electrode aluminum foil data, the electrolytic paper data and identification information for identifying the matching degree of the data; a fifth obtaining unit: the fifth obtaining unit is configured to obtain first output information of the first training model, where the first output information includes a first matching degree, and the first matching degree is used to indicate a matching degree between an electrode aluminum foil and electrolytic paper; a first judgment unit: the first judging unit is used for judging whether the first matching degree meets a first preset condition or not; a sixth obtaining unit: the sixth obtaining unit is used for obtaining a first production instruction when the first production instruction is met, wherein the first production instruction is used for carrying out winding operation on the electrode aluminum foil and electrolytic paper to obtain a winding material; a first monitoring unit: the first monitoring unit is used for monitoring the winding material in the winding operation process in real time through the image acquisition device to obtain image information of the winding material; a second input unit: the second input unit is configured to input the image information of the winding material into a second training model, where the second training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets includes: the image information of the winding material and the identification information for identifying whether the winding material is inclined or not; a seventh obtaining unit: the seventh obtaining unit is configured to obtain second output information of the second training model, where the second output information includes a first result and a second result, the first result is that the winding material is straight and has no deflection angle, and the second result is that the winding material has deflection angle; an eighth obtaining unit: the eighth obtaining unit is configured to obtain a first control instruction according to the second output information, where the first control instruction includes a first production instruction and a first adjustment instruction, execute the first production instruction when the second output information is a first result, and execute the first adjustment instruction when the output information is a second result.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
whether the surface adhesion degree of the aluminum foil and the electrolytic paper is detected according to the electrode aluminum foil data and the electrolytic paper data is judged through the adhesion amplitude, whether the winding process is facilitated is judged through the winding material image information, whether the angle deviation exists is judged, and then the angle deviation appearing in the winding process is corrected in time, so that the quality of the aluminum electrolytic capacitor is prevented from being influenced, and the service life of the aluminum electrolytic capacitor is prevented from being influenced.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flow chart of a production control method for an aluminum electrolytic capacitor according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a production control apparatus for an aluminum electrolytic capacitor according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first input unit 15, a fifth obtaining unit 16, a first judging unit 17, a sixth obtaining unit 18, a first monitoring unit 19, a second input unit 20, a seventh obtaining unit 21, an eighth obtaining unit 22, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
The embodiment of the application provides a production control method and a production control device for an aluminum electrolytic capacitor, so that the technical problem that the deviation occurs due to winding in the production process of the aluminum electrolytic capacitor to influence the capacitor quality and further shorten the product life is solved, and the technical effect of timely correcting the deflection angle occurring in the winding process and further improving the product quality of the aluminum electrolytic capacitor is achieved.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Along with the gradual development of capacitor industry in recent years, the demand for electrolytic capacitor is increasing, and especially the rapid growth of consumer electronics, communication and industry pushes the growth of aluminum electrolytic capacitor, and the effect in various fields is more and more prominent. In the production process of the aluminum electrolytic capacitor, the quality of the aluminum electrolytic capacitor is influenced due to the angular deviation in the winding process, and the service life of the final product is shortened.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a production control method of an aluminum electrolytic capacitor, which is applied to a production control device, wherein the production control device comprises an image acquisition device, and the method comprises the following steps: acquiring electrode aluminum foil image information through the image acquisition device; acquiring electrode aluminum foil data according to the electrode aluminum foil image information; obtaining electrolytic paper image information through the image acquisition device; obtaining electrolytic paper data according to the electrolytic paper image information; inputting the electrode aluminum foil data and the electrolytic paper data into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the electrode aluminum foil data, the electrolytic paper data and identification information for identifying the matching degree of the data; obtaining first output information of the first training model, wherein the first output information comprises a first matching degree, and the first matching degree is used for representing the matching degree between the electrode aluminum foil and the electrolytic paper; judging whether the first matching degree meets a first preset condition or not; when the first production instruction is met, obtaining a first production instruction, wherein the first production instruction is used for carrying out winding operation on the electrode aluminum foil and the electrolytic paper to obtain a winding material; monitoring the winding material in the winding operation process in real time through the image acquisition device to obtain image information of the winding material; inputting the image information of the winding material into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the image information of the winding material and the identification information for identifying whether the winding material is inclined or not; obtaining second output information of the second training model, wherein the second output information comprises a first result and a second result, the first result is that the winding material is straight and has no deflection angle, and the second result is that the winding material has deflection angle; and obtaining a first control instruction according to the second output information, wherein the first control instruction comprises a first production instruction and a first adjusting instruction, the first production instruction is executed when the second output information is a first result, and the first adjusting instruction is executed when the output information is a second result.
For better understanding of the above technical solutions, the following detailed descriptions will be provided in conjunction with the drawings and the detailed description of the embodiments.
Example one
As shown in fig. 1, an embodiment of the present application provides a method for controlling production of an aluminum electrolytic capacitor, where the method further includes:
step S100: acquiring electrode aluminum foil image information through the image acquisition device;
step S200: acquiring electrode aluminum foil data according to the electrode aluminum foil image information;
specifically, the image acquisition device is a device on the production control device for producing the aluminum electrolytic capacitor, can carry out image acquisition to the production process, the electrode aluminium foil divides positive pole aluminium foil and negative pole aluminium foil, is the partly that constitutes electrolytic capacitor, through gathering electrode aluminium foil image information can obtain electrode aluminium foil data, including data information such as homogeneity, texture, ductility, color and luster.
Step S300: obtaining electrolytic paper image information through the image acquisition device;
step S400: obtaining electrolytic paper data according to the electrolytic paper image information;
specifically, the image acquisition device can also obtain the image information of electrolytic paper, and the electrolytic capacitor paper (also called electrolytic paper) is one of three key materials forming the aluminum electrolytic capacitor, is used as an adsorption carrier of the electrolyte, and forms a cathode of the aluminum electrolytic capacitor together with the electrolyte, and plays a role of isolating two polar foils, and is also called as isolating paper. And then obtaining electrolytic paper data according to the electrolytic paper image information, wherein the electrolytic paper data usually comprises data of paper uniformity, air permeability, absorption performance, electric strength, high purity, chemical property, low impedance and the like.
Step S500: inputting the electrode aluminum foil data and the electrolytic paper data into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the electrode aluminum foil data, the electrolytic paper data and identification information for identifying the matching degree of the data;
step S600: obtaining first output information of the first training model, wherein the first output information comprises a first matching degree, and the first matching degree is used for representing the matching degree between the electrode aluminum foil and the electrolytic paper;
specifically, in order to detect whether the surfaces of the aluminum foil and the electrolytic paper are in compliance, the electrode aluminum foil data and the electrolytic paper data can be input into the first training model for continuous training, so that the output training result can be more accurate. The first training model is a Neural network model, namely a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely interconnecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. In the embodiment of the application, the electrode aluminum foil data and the electrolytic paper data are input into a first training model for continuous training, and the neural network model is trained by using the identified data matching degree information.
Further, the process of training the neural network model is substantially a process of supervised learning. The plurality of groups of training data are specifically: the electrode aluminum foil data, the electrolytic paper data and identification information for identifying the matching degree of the data. The neural network model outputs a first matching degree through inputting the electrode aluminum foil data and the electrolytic paper data, the first matching degree is used for representing the matching degree between the electrode aluminum foil and the electrolytic paper, the output information and the data matching degree information with the identification function are verified, if the output information is consistent with the data matching degree information with the identification function, the data supervised learning is finished, and then the next group of data supervised learning is carried out; and if the output information is inconsistent with the requirement of the data matching degree information playing the role of identification, the neural network learning model adjusts itself until the output result of the neural network learning model is consistent with the requirement of the data matching degree information playing the role of identification, and then the supervised learning of the next group of data is carried out. The neural network learning model is continuously corrected and optimized through training data, the accuracy of the neural network learning model for processing the information is improved through the process of supervised learning, and the technical effect that the matching degree between the electrode aluminum foil and the electrolytic paper is more accurate is achieved.
Step S700: judging whether the first matching degree meets a first preset condition or not;
step S800: when the first production instruction is met, obtaining a first production instruction, wherein the first production instruction is used for carrying out winding operation on the electrode aluminum foil and the electrolytic paper to obtain a winding material;
specifically, it is known that the first matching degree, that is, the matching degree between the electrode aluminum foil and the electrolytic paper, is obtained through the first training model, and whether the first matching degree meets a first predetermined condition may also be determined, where the first predetermined condition is that a preset matching degree between the electrode aluminum foil and the electrolytic paper is high, that is, the electrode aluminum foil and the electrolytic paper are relatively compliant and have a relatively high flatness, and when the first predetermined condition is met, a first production instruction is obtained, where the first production instruction is used to perform a winding operation using the electrode aluminum foil and the electrolytic paper to obtain a winding material, and the winding operation is to insert the electrolytic paper between the cathode aluminum foil and the anode aluminum foil, and then wind the electrolytic paper into a cylindrical shape to obtain the winding material, and the cathode aluminum foil and the anode aluminum foil are connected to a terminal in the winding process to form.
Step S900: monitoring the winding material in the winding operation process in real time through the image acquisition device to obtain image information of the winding material;
specifically, when the winding operation is performed, the image acquisition device can be used for monitoring the winding material in the winding operation process in real time so as to determine that the winding process is accurate and correct, and further obtain the image information of the winding material, wherein the image information of the winding material is the image monitoring of the winding process.
Step S1000: inputting the image information of the winding material into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the image information of the winding material and the identification information for identifying whether the winding material is inclined or not;
step S1100: obtaining second output information of the second training model, wherein the second output information comprises a first result and a second result, the first result is that the winding material is straight and has no deflection angle, and the second result is that the winding material has deflection angle;
specifically, if the image information of the winding material is known, in order to determine whether an error such as a deflection angle occurs in the winding process, the image information of the winding material can be input into a second training model, the second training model and the first training model are both neural network training models, input data can be continuously trained, so that an output result is more accurate, the image information of the winding material is input into the second training model, the second training model is continuously trained by using the identified deflection angle of the winding material, so that the output information of the second training model is more accurate, the second output information comprises a first result and a second result, the first result is that the winding material is straight and has no deflection angle, the second result is that the deflection angle occurs in the winding material, and the winding material in the winding operation process is monitored in real time, whether the deflection angle occurs is judged, and the deflection angle is corrected in time, so that the quality of the aluminum electrolytic capacitor is prevented from being influenced.
Step S1200: and obtaining a first control instruction according to the second output information, wherein the first control instruction comprises a first production instruction and a first adjusting instruction, the first production instruction is executed when the second output information is a first result, and the first adjusting instruction is executed when the output information is a second result.
Specifically, it is known that second output information is obtained by the second training model, and a first control instruction can be obtained according to the second output information, where the first control instruction includes two cases: firstly, when the first result is that the winding material is straight and has no deflection angle, the first control instruction executes the first production instruction, namely, the subsequent production process is carried out; and secondly, when the second result is generated, namely the winding material has a deflection angle, the first control instruction executes the first adjusting instruction, namely the winding material is adjusted to be flat, so that the subsequent production process is convenient to carry out, and the technical effects of ensuring the flatness and the conformity of the winding process and avoiding influencing the quality of the aluminum electrolytic capacitor are achieved by executing different instructions according to different results.
Further, the step S800 of performing a winding operation using the electrode aluminum foil and the electrolytic paper further includes:
step S810: determining the positive and negative electrodes of the electrode aluminum foils, and inserting the electrolytic paper between the positive and negative electrode aluminum foils to obtain a first winding raw material;
step S820: obtaining a first surface flatness according to the first winding raw material;
step S830: judging whether the first surface flatness meets a second preset condition or not;
step S840: when the condition is met, placing a first guide pin and a second guide pin in the first winding raw material to obtain a second winding raw material;
step S850: obtaining angle information according to the first guide pin, the second guide pin and the first winding raw material, wherein the angle information comprises first angle information and second angle information, the first angle information is angle information between the first guide pin and the first winding raw material, and the second angle information is angle information between the second guide pin and the first winding raw material;
step S860: judging whether the angle information meets a third preset condition or not, and if not, acquiring second adjustment information;
step S870: and adjusting the angle of the guide pin according to the second adjustment information to obtain the winding material.
Specifically, in order to perform a specific winding operation, the positive and negative electrodes of the electrode aluminum foil are determined, the electrolytic paper is inserted between the positive and negative electrode aluminum foils, so as to obtain a first winding raw material, the first winding raw material is formed by winding the positive electrode aluminum foil, the electrolytic paper and the negative electrode aluminum foil, and further, according to the first winding raw material, a first surface flatness is obtained, the first surface flatness is used for judging whether the surface of the first winding raw material is smooth and proper, when the surface is smooth and proper, a first guide pin and a second guide pin are placed in the first winding raw material, so as to obtain a second winding raw material, the raw material can be wound by using the first guide pin and the second guide pin, and angle information is obtained according to the first guide pin, the second guide pin and the first winding raw material, namely, an angle between the guide pin and a plain in the winding operation process is detected, the angle information comprises first angle information and second angle information, wherein the first angle information is angle information between the first guide pin and the first winding raw material, the second angle information is angle information between the second guide pin and the first winding raw material, whether the angle information meets a third preset condition is judged, the third preset condition is that an angle between the winding raw material and two guide pins meets a process requirement, when the angle information does not meet the process requirement, second adjustment information can be obtained, and the angle of the guide pin is adjusted by the second adjustment information, so that the angle between the guide pin and the winding raw material meets the production process requirement, the technical effect of ensuring that the angle between the guide pin and a prime element meets the requirement in the winding operation process is achieved, and the quality of the aluminum electrolytic capacitor is further ensured.
Further, the embodiment of the application further comprises:
step S1010: obtaining central shaft position information of the winding material;
step S1020: obtaining a winding material angle according to the central shaft position information, and taking the winding material angle as an abscissa;
step S1030: obtaining included angle information between the edge of the winding material and a guide pin, and taking the included angle information as a vertical coordinate;
step S1040: obtaining a logistic regression line according to the abscissa and the ordinate by adopting a logistic regression model, wherein the logistic regression line comprises a first position and a first angle, and the first position and the first angle are located in a coordinate system constructed by the abscissa and the ordinate; wherein one side of the logistic regression line represents a first result and the other side of the logistic regression line represents a second result, wherein the first result and the second result are different.
Specifically, in order to further determine whether the angle between the guide pin and the element meets the requirement in the winding operation process, the central shaft position information of the winding material may also be obtained, which may be further understood as the winding operation of the winding material around the central shaft in the winding operation process, the winding material angle may be obtained according to the central shaft position information and the position information of the winding material, the included angle information may be obtained according to the edge of the winding material and the position information of the guide pin, and then the winding material angle may be respectively used as the abscissa, and the included angle information may be used as the ordinate, so as to construct a logistic regression model.
And constructing a logistic regression line according to the logistic regression model, wherein the logistic regression line explains the relation between the winding material angle and the included angle information. And judging whether the angle between the lead pin and the prime in the winding operation process meets the requirement or not through the logistic regression line, wherein one side of the logistic regression line represents a first result, the first result is a result that no deflection angle exists between the lead pin and the prime, the other side of the logistic regression line represents a second result, the second result is a result that the deflection angle exists between the lead pin and the prime, judging whether the angle between the lead pin and the prime meets the requirement or not through a logistic regression model, and detecting the angle between the lead pin and the prime in the winding operation process, so that problems are found and corrected in time, and the technical effect of improving the quality of the aluminum electrolytic capacitor is achieved.
Further, the embodiment of the application further comprises:
step S1050: obtaining a second surface flatness from the wound material;
step S1060: obtaining a preset flatness threshold value;
step S1070: judging whether the second surface flatness meets the preset flatness threshold value or not;
step S1080: if the second surface flatness is within the preset flatness threshold value, obtaining a first influence parameter according to the second surface flatness;
step S1090: and adjusting the first position of the logistic regression line according to the first influence parameter.
Specifically, in order to improve the winding effect of the winding material, a second surface flatness may be obtained according to the winding material, where the second surface flatness is the surface flatness of the winding material, that is, whether wrinkles exist or not, so as to obtain a predetermined flatness threshold value, where the predetermined flatness threshold value is a preset winding material surface unevenness, wrinkles and the like, and it is determined whether the second surface flatness satisfies the predetermined flatness threshold value, if the second surface flatness is within the predetermined flatness threshold value, that is, the winding material surface unevenness, a first influence parameter may be obtained according to the second surface flatness, where the first influence parameter is an influence of the winding material surface unevenness on the winding effect of the winding material, so as to adjust a first position of the logistic regression line according to the first influence parameter, the method can further understand that the flatness of the material can influence the winding effect, the probability of deflection when the surface is uneven is high, and the flatness is used for correction, so that the judgment on whether the angle between the guide pin and the element meets the requirement is more accurate, and the winding effect of the winding material is further improved.
Further, the embodiment of the application further comprises:
step S1041: obtaining an edge position of the wound material;
step S1042: obtaining an angle deviation value according to the edge position and the central axis position information;
step S1043: obtaining a second influence parameter according to the angle deviation value;
step S1044: and adjusting the first angle of the logistic regression line according to the second influence parameter.
Specifically, the edge position of the wound material can be obtained, an angle deviation value can be obtained according to the edge position and the central axis position information, and it can be further understood that the angle deviation between the central axis and the edge can affect the information of the included angle between the edge of the wound material and the guide pin, a second influence parameter can be obtained according to the angle deviation value, the second influence parameter is the influence of the angle deviation value of the edge position and the central axis position on the winding effect of the wound material, the first angle of the logistic regression line is adjusted according to the second influence parameter, and the logistic regression model is corrected according to the angle deviation of the edge position and the central axis position, so that the technical effects of enabling the winding process to meet the process requirements and improving the quality of the aluminum electrolytic capacitor are achieved.
Further, the embodiment of the application further comprises:
step 1310: monitoring first winding material image information, second winding material image information and Nth winding material image information of the winding material in the winding operation process in real time through the image acquisition device, wherein N is a natural number greater than 1;
step S1320: generating a first identification code according to first winding material image information, wherein the first identification code corresponds to the first winding material image information one to one;
step S1330: generating a second identification code according to the second winding material image information and the first identification code, and generating an Nth identification code according to the Nth winding material image information and the (N-1) th identification code by analogy;
step S1340: and copying and storing the image information of the winding material and the identification code on M pieces of electronic equipment, wherein M is a natural number greater than 1.
Specifically, the winding operation process can be monitored in real time according to the image acquisition device, so that the first winding material image information, the second winding material image information and the Nth winding material image information are obtained, and in order to ensure that the winding material image information is safely stored, the encryption operation based on the block chain can be performed on the winding material image information. The block chain technology is a universal underlying technical framework, and can generate and synchronize data on distributed nodes through a consensus mechanism, and realize automatic execution and data operation of contract terms by means of programmable scripts. A block chain is defined as a data structure that organizes data blocks in time sequence, with chain-like connections being formed in order between different blocks, by means of which a digital ledger is built.
Generating a first identification code according to first winding material image information, wherein the first identification code corresponds to the first winding material image information one to one; generating a second identification code according to the second winding material image information and the first identification code, and generating an Nth identification code according to the Nth winding material image information and the (N-1) th identification code by analogy; and copying and storing the image information of the winding material and the identification code on M pieces of electronic equipment, wherein M is a natural number greater than 1. And encrypting and storing the image information of the winding material, wherein each device corresponds to one node, all the nodes are combined to form a block chain, and the block chain forms a total account book which is convenient for verification (the Hash value of the last block is verified to be equivalent to the verification of the whole version) and cannot be changed (the Hash value of all the following blocks can be changed by changing any transaction information, so that the transaction information cannot pass the verification).
Further, the embodiment of the application further comprises:
step S1350: taking the Nth winding material image information and the Nth verification code as an Nth storage unit;
step S1360: obtaining the recording time of the Nth storage unit, wherein the recording time of the Nth storage unit represents the time required to be recorded by the Nth storage unit;
step S1370: acquiring first equipment with the largest memory in the M equipment according to the recording time of the Nth storage unit;
step S1380: and sending the recording right of the Nth storage unit to the first equipment.
Specifically, when the encryption operation based on the block chain is performed on the image information of the winding material, in order to obtain more efficient operation and storage rate, the nth image information of the winding material and the nth verification code may be used as an nth storage unit, and the nth storage unit recording time is obtained, where the nth storage unit recording time represents the time that the nth storage unit needs to record; further, according to the recording time of the Nth storage unit, the first device with the largest memory in the M devices is obtained; according to the recording time of the Nth storage unit, the first equipment with the largest memory in the M pieces of equipment is obtained, so that the safe, effective and stable operation of a decentralized block chain system is guaranteed, the blocks can be rapidly and accurately recorded in the equipment, the information safety is further guaranteed, the image information of the winding material is accurately judged, and the technical effect of enabling the image information of the winding material to be stored and recorded more rapidly and efficiently is achieved.
In summary, the method and the device for controlling the production of the aluminum electrolytic capacitor provided by the embodiment of the present application have the following technical effects:
1. whether the surface adhesion degree of the aluminum foil and the electrolytic paper is detected according to the electrode aluminum foil data and the electrolytic paper data is judged through the adhesion amplitude, whether the winding process is facilitated is judged through the winding material image information, whether the angle deviation exists is judged, and then the angle deviation appearing in the winding process is corrected in time, so that the quality of the aluminum electrolytic capacitor is prevented from being influenced, and the service life of the aluminum electrolytic capacitor is prevented from being influenced.
2. The method comprises the steps of constructing a logistic regression model by taking the angle of a winding material as a horizontal coordinate and the included angle information between the edge of the winding material and a guide pin as a vertical coordinate, correcting the logistic regression model by the surface flatness of the winding material and the angle deviation value between the edge position and the central axis position of the winding material, enabling the training result of the logistic regression model to be more accurate, enabling the winding process to meet the technological requirements by finding problems occurring in the winding process and timely correcting the problems, and achieving the technical effect of improving the quality of the aluminum electrolytic capacitor.
Example two
Based on the same inventive concept as the production control method of the aluminum electrolytic capacitor in the previous embodiment, the invention further provides a production control device of the aluminum electrolytic capacitor, as shown in fig. 2, the device comprises:
the first obtaining unit 11: the first obtaining unit 11 is configured to obtain electrode aluminum foil image information through an image acquisition device;
the second obtaining unit 12: the second obtaining unit 12 is configured to obtain electrode aluminum foil data according to the electrode aluminum foil image information;
the third obtaining unit 13: the third obtaining unit 13 is used for obtaining the image information of the electrolytic paper through the image acquisition device;
the fourth obtaining unit 14: the fourth obtaining unit 14 is configured to obtain electrolytic paper data according to the electrolytic paper image information;
first input unit 15: the first input unit 15 is configured to input the electrode aluminum foil data and the electrolytic paper data into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the electrode aluminum foil data, the electrolytic paper data and identification information for identifying the matching degree of the data;
the fifth obtaining unit 16: the fifth obtaining unit 16 is configured to obtain first output information of the first training model, where the first output information includes a first matching degree, and the first matching degree is used to indicate a matching degree between an electrode aluminum foil and electrolytic paper;
the first judgment unit 17: the first judging unit 17 is configured to judge whether the first matching degree satisfies a first predetermined condition;
sixth obtaining unit 18: the sixth obtaining unit 18 is configured to, when satisfied, obtain a first production instruction, where the first production instruction is used to perform a winding operation using the electrode aluminum foil and electrolytic paper to obtain a wound material;
the first monitoring unit 19: the first monitoring unit 19 is configured to monitor the winding material in the winding operation process in real time through the image acquisition device to obtain image information of the winding material;
second input unit 20: the second input unit 20 is configured to input the image information of the winding material into a second training model, where the second training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the image information of the winding material and the identification information for identifying whether the winding material is inclined or not;
the seventh obtaining unit 21: the seventh obtaining unit 21 is configured to obtain second output information of the second training model, where the second output information includes a first result and a second result, the first result is that the winding material is straight and has no deflection angle, and the second result is that the winding material has a deflection angle;
the eighth obtaining unit 22: the eighth obtaining unit 22 is configured to obtain a first control instruction according to the second output information, where the first control instruction includes a first production instruction and a first adjustment instruction, execute the first production instruction when the second output information is a first result, and execute the first adjustment instruction when the output information is a second result.
Further, the apparatus further comprises:
a first determination unit: the first determining unit is used for determining the positive and negative electrodes of the electrode aluminum foils, and inserting the electrolytic paper between the positive and negative electrode aluminum foils to obtain a first winding raw material;
a ninth obtaining unit: the ninth obtaining unit is used for obtaining a first surface flatness according to the first winding raw material;
a second judgment unit: the second judging unit is used for judging whether the first surface flatness meets a second preset condition;
a tenth obtaining unit: the tenth obtaining unit is used for placing a first guide pin and a second guide pin in the first winding raw material to obtain a second winding raw material when the requirements are met;
an eleventh obtaining unit: the eleventh obtaining unit is configured to obtain angle information according to the first guide pin, the second guide pin, and the first winding material, where the angle information includes first angle information and second angle information, where the first angle information is angle information between the first guide pin and the first winding material, and the second angle information is angle information between the second guide pin and the first winding material;
a third judging unit: the third judging unit is used for judging whether the angle information meets a third preset condition or not, and when the angle information does not meet the third preset condition, second adjusting information is obtained;
a first adjusting unit: the first adjusting unit is used for adjusting the needle guiding angle according to the second adjusting information to obtain the winding material.
Further, the apparatus further comprises:
a twelfth obtaining unit: the twelfth obtaining unit is configured to obtain center axis position information of the wound material;
a thirteenth obtaining unit: the thirteenth obtaining unit is configured to obtain a winding material angle from the central axis position information, and take the winding material angle as an abscissa;
a fourteenth obtaining unit: the fourteenth obtaining unit is configured to obtain included angle information between the edge of the winding material and the guide pin, and use the included angle information as a vertical coordinate;
a fifteenth obtaining unit: the fifteenth obtaining unit is configured to obtain a logistic regression line according to the abscissa and the ordinate by using a logistic regression model, where the logistic regression line includes a first position and a first angle, and the first position and the first angle are located in a coordinate system constructed by the abscissa and the ordinate; wherein one side of the logistic regression line represents a first result and the other side of the logistic regression line represents a second result, wherein the first result and the second result are different.
Further, the apparatus further comprises:
a sixteenth obtaining unit: the sixteenth obtaining unit is used for obtaining second surface flatness according to the winding material;
a seventeenth obtaining unit: the seventeenth obtaining unit is configured to obtain a predetermined flatness threshold;
a fourth judging unit: the fourth judging unit is used for judging whether the second surface flatness meets the preset flatness threshold value;
an eighteenth obtaining unit: the eighteenth obtaining unit is configured to obtain a first influence parameter according to the second surface flatness if the second surface flatness is within the predetermined flatness threshold;
a second adjusting unit: the second adjusting unit is used for adjusting the first position of the logistic regression line according to the first influence parameter.
Further, the apparatus further comprises:
a nineteenth obtaining unit: the nineteenth obtaining unit is used for obtaining the edge position of the winding material;
a twentieth obtaining unit: the twentieth obtaining unit is configured to obtain an angle deviation value according to the edge position and the central axis position information;
a twenty-first obtaining unit: the twenty-first obtaining unit is used for obtaining a second influence parameter according to the angle deviation value;
a third adjusting unit: the third adjusting unit is used for adjusting the first angle of the logistic regression line according to the second influence parameter.
Further, the apparatus further comprises:
a second monitoring unit: the second detection unit is used for monitoring the image information of the first winding material, the image information of the second winding material and the image information of the Nth winding material of the winding material in the winding operation process in real time through the image acquisition device, wherein N is a natural number greater than 1;
a first generation unit: the first generating unit is used for generating first identification codes according to first winding material image information, and the first identification codes correspond to the first winding material image information one to one;
a second generation unit: the second generating unit is used for generating a second identification code according to the second winding material image information and the first identification code, and generating an Nth identification code according to the Nth winding material image information and the (N-1) th identification code by analogy;
a first saving unit: the first storage unit is used for copying and storing the image information of the winding material and the identification code on M electronic devices, wherein M is a natural number larger than 1.
Further, the apparatus further comprises:
a twenty-second obtaining unit: the twenty-second obtaining unit is used for taking the Nth winding material image information and the Nth verification code as an Nth storage unit;
a twenty-third obtaining unit: the twenty-third obtaining unit is configured to obtain the nth storage unit recording time, where the nth storage unit recording time represents a time that the nth storage unit needs to record;
a twenty-fourth obtaining unit: the twenty-fourth obtaining unit is configured to obtain, according to the recording time of the nth storage unit, a first device with a largest memory in the M devices;
a first transmission unit: the first sending unit is configured to send the recording right of the nth storage unit to the first device.
Various changes and specific examples of the production control method for the aluminum electrolytic capacitor in the first embodiment of fig. 1 are also applicable to the production control device for the aluminum electrolytic capacitor in this embodiment, and through the foregoing detailed description of the production control method for the aluminum electrolytic capacitor, those skilled in the art can clearly know the implementation method of the production control device for the aluminum electrolytic capacitor in this embodiment, so for the brevity of the description, detailed description is not repeated again.
EXAMPLE III
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a production control method for an aluminum electrolytic capacitor in the foregoing embodiment, the present invention also provides a production control device for an aluminum electrolytic capacitor, on which a computer program is stored, which when executed by a processor implements the steps of any one of the foregoing production control methods for an aluminum electrolytic capacitor.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the application provides a production control method of an aluminum electrolytic capacitor, which is applied to a production control device, wherein the production control device comprises an image acquisition device, and the method comprises the following steps: acquiring electrode aluminum foil image information through the image acquisition device; acquiring electrode aluminum foil data according to the electrode aluminum foil image information; obtaining electrolytic paper image information through the image acquisition device; obtaining electrolytic paper data according to the electrolytic paper image information; inputting the electrode aluminum foil data and the electrolytic paper data into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the electrode aluminum foil data, the electrolytic paper data and identification information for identifying the matching degree of the data; obtaining first output information of the first training model, wherein the first output information comprises a first matching degree, and the first matching degree is used for representing the matching degree between the electrode aluminum foil and the electrolytic paper; judging whether the first matching degree meets a first preset condition or not; when the first production instruction is met, obtaining a first production instruction, wherein the first production instruction is used for carrying out winding operation on the electrode aluminum foil and the electrolytic paper to obtain a winding material; monitoring the winding material in the winding operation process in real time through the image acquisition device to obtain image information of the winding material; inputting the image information of the winding material into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the image information of the winding material and the identification information for identifying whether the winding material is inclined or not; obtaining second output information of the second training model, wherein the second output information comprises a first result and a second result, the first result is that the winding material is straight and has no deflection angle, and the second result is that the winding material has deflection angle; and obtaining a first control instruction according to the second output information, wherein the first control instruction comprises a first production instruction and a first adjusting instruction, the first production instruction is executed when the second output information is a first result, and the first adjusting instruction is executed when the output information is a second result.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (9)

1. A production control method of an aluminum electrolytic capacitor is applied to a production control device, the production control device comprises an image acquisition device, wherein the method comprises the following steps:
acquiring electrode aluminum foil image information through the image acquisition device;
acquiring electrode aluminum foil data according to the electrode aluminum foil image information;
obtaining electrolytic paper image information through the image acquisition device;
obtaining electrolytic paper data according to the electrolytic paper image information;
inputting the electrode aluminum foil data and the electrolytic paper data into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the electrode aluminum foil data, the electrolytic paper data and identification information for identifying the matching degree of the data;
obtaining first output information of the first training model, wherein the first output information comprises a first matching degree, and the first matching degree is used for representing the matching degree between the electrode aluminum foil and the electrolytic paper;
judging whether the first matching degree meets a first preset condition or not;
when the first production instruction is met, obtaining a first production instruction, wherein the first production instruction is used for carrying out winding operation on the electrode aluminum foil and the electrolytic paper to obtain a winding material;
monitoring the winding material in the winding operation process in real time through the image acquisition device to obtain image information of the winding material;
inputting the image information of the winding material into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the image information of the winding material and the identification information for identifying whether the winding material is inclined or not;
obtaining second output information of the second training model, wherein the second output information comprises a first result and a second result, the first result is that the winding material is straight and has no deflection angle, and the second result is that the winding material has deflection angle;
and obtaining a first control instruction according to the second output information, wherein the first control instruction comprises a first production instruction and a first adjusting instruction, the first production instruction is executed when the second output information is a first result, and the first adjusting instruction is executed when the output information is a second result.
2. The method of claim 1, wherein the winding operation comprises:
determining the positive and negative electrodes of the electrode aluminum foils, and inserting the electrolytic paper between the positive and negative electrode aluminum foils to obtain a first winding raw material;
obtaining a first surface flatness according to the first winding raw material;
judging whether the first surface flatness meets a second preset condition or not;
when the condition is met, placing a first guide pin and a second guide pin in the first winding raw material to obtain a second winding raw material;
obtaining angle information according to the first guide pin, the second guide pin and the first winding raw material, wherein the angle information comprises first angle information and second angle information, the first angle information is angle information between the first guide pin and the first winding raw material, and the second angle information is angle information between the second guide pin and the first winding raw material;
judging whether the angle information meets a third preset condition or not, and if not, acquiring second adjustment information;
and adjusting the angle of the guide pin according to the second adjustment information to obtain the winding material.
3. The method of claim 2, wherein the method comprises:
obtaining central shaft position information of the winding material;
obtaining a winding material angle according to the central shaft position information, and taking the winding material angle as an abscissa;
obtaining included angle information between the edge of the winding material and a guide pin, and taking the included angle information as a vertical coordinate;
obtaining a logistic regression line according to the abscissa and the ordinate by adopting a logistic regression model, wherein the logistic regression line comprises a first position and a first angle, and the first position and the first angle are located in a coordinate system constructed by the abscissa and the ordinate; wherein one side of the logistic regression line represents a first result and the other side of the logistic regression line represents a second result, wherein the first result and the second result are different.
4. The method of claim 3, wherein the method comprises:
obtaining a second surface flatness from the wound material;
obtaining a preset flatness threshold value;
judging whether the second surface flatness meets the preset flatness threshold value or not;
if the second surface flatness is within the preset flatness threshold value, obtaining a first influence parameter according to the second surface flatness;
and adjusting the first position of the logistic regression line according to the first influence parameter.
5. The method of claim 3, wherein the method comprises:
obtaining an edge position of the wound material;
obtaining an angle deviation value according to the edge position and the central axis position information;
obtaining a second influence parameter according to the angle deviation value;
and adjusting the first angle of the logistic regression line according to the second influence parameter.
6. The method of claim 1, wherein the second training model comprises:
monitoring first winding material image information, second winding material image information and Nth winding material image information of the winding material in the winding operation process in real time through the image acquisition device, wherein N is a natural number greater than 1;
generating a first identification code according to first winding material image information, wherein the first identification code corresponds to the first winding material image information one to one;
generating a second identification code according to the second winding material image information and the first identification code, and generating an Nth identification code according to the Nth winding material image information and the (N-1) th identification code by analogy;
and copying and storing the image information of the winding material and the identification code on M pieces of electronic equipment, wherein M is a natural number greater than 1.
7. The method of claim 6, wherein the method comprises:
taking the Nth winding material image information and the Nth verification code as an Nth storage unit;
obtaining the recording time of the Nth storage unit, wherein the recording time of the Nth storage unit represents the time required to be recorded by the Nth storage unit;
acquiring first equipment with the largest memory in the M equipment according to the recording time of the Nth storage unit;
and sending the recording right of the Nth storage unit to the first equipment.
8. A production control apparatus for an aluminum electrolytic capacitor, wherein the apparatus comprises:
a first obtaining unit: the first obtaining unit is used for obtaining electrode aluminum foil image information through an image acquisition device;
a second obtaining unit: the second obtaining unit is used for obtaining electrode aluminum foil data according to the electrode aluminum foil image information;
a third obtaining unit: the third obtaining unit is used for obtaining the image information of the electrolytic paper through the image acquisition device;
a fourth obtaining unit: the fourth obtaining unit is used for obtaining electrolytic paper data according to the electrolytic paper image information;
a first input unit: the first input unit is used for inputting the electrode aluminum foil data and the electrolytic paper data into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the electrode aluminum foil data, the electrolytic paper data and identification information for identifying the matching degree of the data;
a fifth obtaining unit: the fifth obtaining unit is configured to obtain first output information of the first training model, where the first output information includes a first matching degree, and the first matching degree is used to indicate a matching degree between an electrode aluminum foil and electrolytic paper;
a first judgment unit: the first judging unit is used for judging whether the first matching degree meets a first preset condition or not;
a sixth obtaining unit: the sixth obtaining unit is used for obtaining a first production instruction when the first production instruction is met, wherein the first production instruction is used for carrying out winding operation on the electrode aluminum foil and electrolytic paper to obtain a winding material;
a first monitoring unit: the first monitoring unit is used for monitoring the winding material in the winding operation process in real time through the image acquisition device to obtain image information of the winding material;
a second input unit: the second input unit is configured to input the image information of the winding material into a second training model, where the second training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets includes: the image information of the winding material and the identification information for identifying whether the winding material is inclined or not;
a seventh obtaining unit: the seventh obtaining unit is configured to obtain second output information of the second training model, where the second output information includes a first result and a second result, the first result is that the winding material is straight and has no deflection angle, and the second result is that the winding material has deflection angle;
an eighth obtaining unit: the eighth obtaining unit is configured to obtain a first control instruction according to the second output information, where the first control instruction includes a first production instruction and a first adjustment instruction, execute the first production instruction when the second output information is a first result, and execute the first adjustment instruction when the output information is a second result.
9. A production control device for an aluminum electrolytic capacitor, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method according to any one of claims 1 to 7 are implemented when the processor executes the program.
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CN118410685A (en) * 2024-07-02 2024-07-30 江苏瑞友康电子科技有限公司 Optimization method for processing technology of aluminum electrolytic capacitor

Citations (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4972299A (en) * 1987-12-09 1990-11-20 Nippon Chemi-Con Corporation Chip type capacitor and manufacturing thereof
EP0522294B1 (en) * 1991-06-10 1998-02-11 Canon Kabushiki Kaisha Method for fabricating an aluminum electrolytic capacitor device
JP2002037495A (en) * 2000-07-24 2002-02-06 Jcc Engineering Co Ltd Carrying guide device for belt-like body
JP3486760B2 (en) * 1995-02-28 2004-01-13 ジェーシーシーエンジニアリング株式会社 Capacitor manufacturing equipment
CN201285710Y (en) * 2008-10-28 2009-08-05 南通天禾机械科技有限公司 Aluminum foil automatic deviation rectifying mechanism for roll nailing machine
CN201336225Y (en) * 2008-12-24 2009-10-28 佛山市三水日明电子有限公司 Easy-radiating electrolytic capacitor
CN103337367A (en) * 2013-06-19 2013-10-02 南通天禾机械科技有限公司 Aluminium electrolytic capacitor and novel parallel winding technology thereof
CN203232807U (en) * 2013-04-23 2013-10-09 四川澄观电子技术有限公司 Aluminum electrolytic capacitor with core fixing structure
EP2800114A1 (en) * 2011-12-27 2014-11-05 Nichicon Corporation Capacitor
CN105047415A (en) * 2015-07-02 2015-11-11 南通新三能电子有限公司 Aluminum electrolytic capacitor core cladding structure and winding manufacturing method thereof
CN105140036A (en) * 2015-09-02 2015-12-09 南通江海电容器股份有限公司 Method for winding core cladding of ripple current-resisting electrolytic capacitor and electrolytic capacitor thereof
CN205650688U (en) * 2016-03-30 2016-10-19 安徽普和电子有限公司 Prevent tearing capacitor case flanging device of limit mouth
CN106653405A (en) * 2016-12-26 2017-05-10 松下电子部品（江门）有限公司 Manufacturing method for capacitor element
CN206401453U (en) * 2017-01-25 2017-08-11 青岛海泰盛电子科技有限公司 A kind of intelligent deviation correction mechanism of winding needle guide pin lead
CN206803968U (en) * 2017-06-05 2017-12-26 珠海市奥德维科技有限公司 Electric core winding edge bias vision detection system
CN108461310A (en) * 2017-11-09 2018-08-28 湖南艾华集团股份有限公司 The production method and automatic assembly line of alminium electrolytic condenser
CN108711154A (en) * 2018-08-24 2018-10-26 深圳市诚捷智能装备股份有限公司 Capacitor defect inspection method, capacitor defect detecting system and capacitor group found stamp integrated machine
CN108760626A (en) * 2018-04-28 2018-11-06 安徽普和电子有限公司 A kind of capacitor film quality determining method
CN108931180A (en) * 2018-04-28 2018-12-04 安徽普和电子有限公司 A kind of intelligent capacitor thin film testing method
CN209895927U (en) * 2019-06-20 2020-01-03 河源明威电子企业有限公司 Capacitor element winding machine
US20200111622A1 (en) * 2018-10-09 2020-04-09 Capxon Electronic(Shen Zhen)Co.,Ltd Hybrid aluminum electrolytic capacitor and method of producing same
CN210429577U (en) * 2019-10-24 2020-04-28 绵阳高新区资江电子元件有限公司 Winding device for aluminum electrolytic capacitor winding machine
CN111261825A (en) * 2020-01-24 2020-06-09 苏州杰锐思智能科技股份有限公司 Method and equipment for regulating and controlling angle deviation of positive and negative electrode tabs
CN111276343A (en) * 2018-12-04 2020-06-12 中达电子零组件(吴江)有限公司 Tab positioning method for capacitor winding device and capacitor winding device
CN111288879A (en) * 2020-03-15 2020-06-16 江苏荣生电子有限公司 Detection apparatus convenient for flattening electrode foil
CN111554513A (en) * 2020-04-28 2020-08-18 安徽诚越电子科技有限公司 Electrolyte for high-temperature-resistant aluminum electrolytic capacitor and aluminum electrolytic capacitor
TW202042262A (en) * 2019-05-06 2020-11-16 張晉福 Winding and spraying integrated manufacturing process and device characterized by allowing the impregnation process to be merged into the winding process, dispensing with the installation of the impregnating device and improving the manufacturing efficiency of the winding type capacitor
CN112041958A (en) * 2020-07-28 2020-12-04 深圳市诚捷智能装备股份有限公司 Winding system

Patent Citations (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4972299A (en) * 1987-12-09 1990-11-20 Nippon Chemi-Con Corporation Chip type capacitor and manufacturing thereof
EP0522294B1 (en) * 1991-06-10 1998-02-11 Canon Kabushiki Kaisha Method for fabricating an aluminum electrolytic capacitor device
JP3486760B2 (en) * 1995-02-28 2004-01-13 ジェーシーシーエンジニアリング株式会社 Capacitor manufacturing equipment
JP2002037495A (en) * 2000-07-24 2002-02-06 Jcc Engineering Co Ltd Carrying guide device for belt-like body
CN201285710Y (en) * 2008-10-28 2009-08-05 南通天禾机械科技有限公司 Aluminum foil automatic deviation rectifying mechanism for roll nailing machine
CN201336225Y (en) * 2008-12-24 2009-10-28 佛山市三水日明电子有限公司 Easy-radiating electrolytic capacitor
EP2800114A1 (en) * 2011-12-27 2014-11-05 Nichicon Corporation Capacitor
CN203232807U (en) * 2013-04-23 2013-10-09 四川澄观电子技术有限公司 Aluminum electrolytic capacitor with core fixing structure
CN103337367A (en) * 2013-06-19 2013-10-02 南通天禾机械科技有限公司 Aluminium electrolytic capacitor and novel parallel winding technology thereof
CN105047415A (en) * 2015-07-02 2015-11-11 南通新三能电子有限公司 Aluminum electrolytic capacitor core cladding structure and winding manufacturing method thereof
CN105140036A (en) * 2015-09-02 2015-12-09 南通江海电容器股份有限公司 Method for winding core cladding of ripple current-resisting electrolytic capacitor and electrolytic capacitor thereof
CN205650688U (en) * 2016-03-30 2016-10-19 安徽普和电子有限公司 Prevent tearing capacitor case flanging device of limit mouth
CN106653405A (en) * 2016-12-26 2017-05-10 松下电子部品（江门）有限公司 Manufacturing method for capacitor element
CN206401453U (en) * 2017-01-25 2017-08-11 青岛海泰盛电子科技有限公司 A kind of intelligent deviation correction mechanism of winding needle guide pin lead
CN206803968U (en) * 2017-06-05 2017-12-26 珠海市奥德维科技有限公司 Electric core winding edge bias vision detection system
CN108461310A (en) * 2017-11-09 2018-08-28 湖南艾华集团股份有限公司 The production method and automatic assembly line of alminium electrolytic condenser
CN108760626A (en) * 2018-04-28 2018-11-06 安徽普和电子有限公司 A kind of capacitor film quality determining method
CN108931180A (en) * 2018-04-28 2018-12-04 安徽普和电子有限公司 A kind of intelligent capacitor thin film testing method
CN108711154A (en) * 2018-08-24 2018-10-26 深圳市诚捷智能装备股份有限公司 Capacitor defect inspection method, capacitor defect detecting system and capacitor group found stamp integrated machine
US20200111622A1 (en) * 2018-10-09 2020-04-09 Capxon Electronic(Shen Zhen)Co.,Ltd Hybrid aluminum electrolytic capacitor and method of producing same
CN111276343A (en) * 2018-12-04 2020-06-12 中达电子零组件(吴江)有限公司 Tab positioning method for capacitor winding device and capacitor winding device
TW202042262A (en) * 2019-05-06 2020-11-16 張晉福 Winding and spraying integrated manufacturing process and device characterized by allowing the impregnation process to be merged into the winding process, dispensing with the installation of the impregnating device and improving the manufacturing efficiency of the winding type capacitor
CN209895927U (en) * 2019-06-20 2020-01-03 河源明威电子企业有限公司 Capacitor element winding machine
CN210429577U (en) * 2019-10-24 2020-04-28 绵阳高新区资江电子元件有限公司 Winding device for aluminum electrolytic capacitor winding machine
CN111261825A (en) * 2020-01-24 2020-06-09 苏州杰锐思智能科技股份有限公司 Method and equipment for regulating and controlling angle deviation of positive and negative electrode tabs
CN111288879A (en) * 2020-03-15 2020-06-16 江苏荣生电子有限公司 Detection apparatus convenient for flattening electrode foil
CN111554513A (en) * 2020-04-28 2020-08-18 安徽诚越电子科技有限公司 Electrolyte for high-temperature-resistant aluminum electrolytic capacitor and aluminum electrolytic capacitor
CN112041958A (en) * 2020-07-28 2020-12-04 深圳市诚捷智能装备股份有限公司 Winding system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
宗伟: "台达视觉检测系统在电容送料机中的应用", 《自动化博览》 *
张裕祥: "基于遗传算法的电容器智能制造系统设计与实现", 《中国优秀硕士学位论文全文数据库信息科技辑》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113177908A (en) * 2021-04-01 2021-07-27 柳城县迪森人造板有限公司 Identification method and device for solid wood ecological plate
CN113177908B (en) * 2021-04-01 2022-11-25 柳城县迪森人造板有限公司 Identification method and device for solid wood ecological plate
CN113538396A (en) * 2021-07-27 2021-10-22 扬州美德莱医疗用品有限公司 Counting prompting method and device based on injection needle processing
CN113538396B (en) * 2021-07-27 2022-04-26 扬州美德莱医疗用品有限公司 Counting prompting method and device based on injection needle processing
CN118410685A (en) * 2024-07-02 2024-07-30 江苏瑞友康电子科技有限公司 Optimization method for processing technology of aluminum electrolytic capacitor
CN118410685B (en) * 2024-07-02 2024-10-11 江苏瑞友康电子科技有限公司 Optimization method for processing technology of aluminum electrolytic capacitor

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