CN118098842B - Intelligent adjustment method and system for capacitor pins - Google Patents
Intelligent adjustment method and system for capacitor pins Download PDFInfo
- Publication number
- CN118098842B CN118098842B CN202410510278.7A CN202410510278A CN118098842B CN 118098842 B CN118098842 B CN 118098842B CN 202410510278 A CN202410510278 A CN 202410510278A CN 118098842 B CN118098842 B CN 118098842B
- Authority
- CN
- China
- Prior art keywords
- adjustment
- capacitance value
- pins
- information
- capacitor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000003990 capacitor Substances 0.000 title claims abstract description 179
- 238000000034 method Methods 0.000 title claims abstract description 52
- 230000008859 change Effects 0.000 claims abstract description 81
- 238000012544 monitoring process Methods 0.000 claims abstract description 46
- 230000003213 activating effect Effects 0.000 claims abstract description 13
- 238000005457 optimization Methods 0.000 claims description 24
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000010586 diagram Methods 0.000 claims description 10
- 230000004913 activation Effects 0.000 claims description 8
- 238000013507 mapping Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 10
- 230000000694 effects Effects 0.000 description 9
- 230000008569 process Effects 0.000 description 8
- 238000013461 design Methods 0.000 description 5
- 238000005259 measurement Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 239000003985 ceramic capacitor Substances 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000009966 trimming Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000003989 dielectric material Substances 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000010008 shearing Methods 0.000 description 1
- 229910000679 solder Inorganic materials 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01G—CAPACITORS; CAPACITORS, RECTIFIERS, DETECTORS, SWITCHING DEVICES, LIGHT-SENSITIVE OR TEMPERATURE-SENSITIVE DEVICES OF THE ELECTROLYTIC TYPE
- H01G13/00—Apparatus specially adapted for manufacturing capacitors; Processes specially adapted for manufacturing capacitors not provided for in groups H01G4/00 - H01G11/00
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01G—CAPACITORS; CAPACITORS, RECTIFIERS, DETECTORS, SWITCHING DEVICES, LIGHT-SENSITIVE OR TEMPERATURE-SENSITIVE DEVICES OF THE ELECTROLYTIC TYPE
- H01G13/00—Apparatus specially adapted for manufacturing capacitors; Processes specially adapted for manufacturing capacitors not provided for in groups H01G4/00 - H01G11/00
- H01G13/006—Apparatus or processes for applying terminals
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Measurement Of Resistance Or Impedance (AREA)
Abstract
The application provides an intelligent adjustment method and system for capacitor pins, and relates to the technical field of capacitor control, wherein the method comprises the following steps: defining a plurality of capacitance value demand intervals, selecting a first tool group to carry out adjustment matching of a plurality of types of information, generating tool matching information, acquiring N pins of a target capacitor, activating an intelligent regulation terminal and carrying out adjustment, acquiring a capacitance value change curve, carrying out secondary adjustment according to an adjustment result, monitoring a capacitance value update change curve, and fixing adjustment positions of the N pins. The application can solve the problems of low adjustment precision and low adjustment efficiency caused by lack of fine capacitance value adjustment, lack of real-time monitoring and feedback and dependence on manual operation in the prior art, improves the precision of pin adjustment and the quality and reliability of electronic products, ensures that the pin adjustment can cope with capacitors with different types and specifications, and improves the flexibility and adaptability of production.
Description
Technical Field
The application relates to the technical field of capacitor control, in particular to an intelligent adjustment method and system for capacitor pins.
Background
With the popularization of electronic devices and the mass application of capacitors, the demands on the production efficiency and the product quality of the capacitors are continuously increasing. With the continuous development of the field of intelligent manufacturing, more and more enterprises begin to apply the intelligent technology to capacitor production.
At present, the existing capacitor pin adjustment method is mostly dependent on manual or semi-automatic equipment, has low efficiency and limited precision, is mainly dependent on manual operation, has low efficiency, is difficult to ensure precision, and is easy to cause material waste and unstable product quality.
In summary, the prior art lacks fine capacitance value adjustment, lacks real-time monitoring and feedback, relies on manual operation, and causes the problems of low adjustment accuracy and low adjustment efficiency.
Disclosure of Invention
The application aims to provide an intelligent adjustment method and system for capacitor pins, which are used for solving the problems of low adjustment precision and low adjustment efficiency caused by lack of fine capacitance value adjustment, lack of real-time monitoring and feedback and dependence on manual operation in the prior art.
In view of the above problems, the present application provides an intelligent adjustment method and system for capacitor pins.
In a first aspect, the present application provides a method for intelligently adjusting a capacitor pin, where the method is implemented by an intelligent adjustment system for a capacitor pin, and the method includes: defining a plurality of capacitance value demand intervals based on a plurality of types of information of a target capacitor, wherein the types of information and the capacitance value demand intervals have corresponding relations; mapping a plurality of capacitance value adjustment intervals of the plurality of types of information according to the plurality of capacitance value demand intervals; selecting a first tool group to carry out adjustment matching of the plurality of types of information based on the plurality of capacitance value adjustment intervals, and generating tool matching information; acquiring N pins of a target capacitor based on the plurality of types of information, wherein N is an integer greater than or equal to 2; activating the intelligent regulation terminal, transmitting the tool matching information to the intelligent regulation terminal to regulate the N pins, and monitoring the capacitance value of the target capacitor according to the regulation result to obtain a capacitance value change curve; and optimizing the adjustment result based on the capacitance value change curve, performing secondary adjustment on the N pins according to the adjustment optimization result, monitoring the capacitance value of the target capacitor, updating the capacitance value change curve, and fixing the adjustment positions of the N pins.
In a second aspect, the present application further provides an intelligent adjustment system for a capacitor pin, for performing an intelligent adjustment method for a capacitor pin according to the first aspect, where the system includes: the system comprises a demand interval acquisition module, a storage module and a storage module, wherein the demand interval acquisition module is used for defining a plurality of capacitance value demand intervals based on a plurality of types of information of a target capacitor, and the types of information and the capacitance value demand intervals have corresponding relations; the adjustment interval acquisition module is used for mapping a plurality of capacitance value adjustment intervals of the plurality of types of information according to the plurality of capacitance value demand intervals; the matching information generation module is used for selecting a first tool group to carry out adjustment matching of the plurality of types of information based on the plurality of capacitance value adjustment intervals and generating tool matching information; the pin acquisition module is used for acquiring N pins of the target capacitor based on the plurality of types of information, wherein N is an integer greater than or equal to 2; the change curve acquisition module is used for activating the intelligent regulation terminal, transmitting the tool matching information to the intelligent regulation terminal to adjust the N pins, and monitoring the capacitance value of the target capacitor according to an adjustment result to acquire a capacitance value change curve; and the change curve updating module is used for optimizing the adjustment result based on the capacitance value change curve, carrying out secondary adjustment on the N pins according to the adjustment optimization result, monitoring the capacitance value of the target capacitor, updating the capacitance value change curve and fixing the adjustment positions of the N pins.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
Defining a plurality of capacitance value demand intervals based on a plurality of types of information of a target capacitor, wherein the types of information and the capacitance value demand intervals have corresponding relations; mapping a plurality of capacitance value adjustment intervals of the plurality of types of information according to the plurality of capacitance value demand intervals; selecting a first tool group to carry out adjustment matching of the plurality of types of information based on the plurality of capacitance value adjustment intervals, and generating tool matching information; acquiring N pins of a target capacitor based on the plurality of types of information, wherein N is an integer greater than or equal to 2; activating the intelligent regulation terminal, transmitting the tool matching information to the intelligent regulation terminal to regulate the N pins, and monitoring the capacitance value of the target capacitor according to the regulation result to obtain a capacitance value change curve; based on the capacitance value change curve, the adjustment result is optimized, secondary adjustment is carried out on the N pins according to the adjustment optimization result, the capacitance value of the target capacitor is monitored, the capacitance value change curve is updated, the adjustment positions of the N pins are fixed, the problems that the prior art lacks of fine capacitance value adjustment, lacks of real-time monitoring and feedback, relies on manual operation, and causes low adjustment precision and low adjustment efficiency are effectively solved, the precision of pin adjustment and the quality and reliability of electronic products are improved, the capacitors with different models and specifications can be dealt with, and the flexibility and the adaptability of production are improved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent. It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the following brief description will be given of the drawings used in the description of the embodiments or the prior art, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained from the drawings provided without the inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an intelligent adjustment method for capacitor pins according to the present application;
fig. 2 is a schematic structural diagram of an intelligent adjustment system for capacitor pins according to the present application.
Reference numerals illustrate:
the device comprises a demand interval acquisition module 11, an adjustment interval acquisition module 12, a matching information generation module 13, a pin acquisition module 14, a change curve acquisition module 15 and a change curve updating module 16.
Detailed Description
The intelligent adjustment method and the intelligent adjustment system for the pins of the capacitor solve the problems that the prior art lacks of fine capacitance value adjustment, lacks of real-time monitoring and feedback and relies on manual operation, so that adjustment accuracy is low and adjustment efficiency is low, the accuracy of pin adjustment and the quality and reliability of electronic products are improved, capacitors of different types and specifications can be dealt with, and the flexibility and the adaptability of production are improved.
In the following, the technical solutions of the present application will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application, and that the present application is not limited by the exemplary embodiments described herein. 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. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.
Example 1
Referring to fig. 1, the application provides an intelligent adjustment method for capacitor pins, wherein the method is applied to an intelligent adjustment system for capacitor pins, the intelligent adjustment system for capacitor pins is in communication connection with an intelligent regulation terminal, and the method specifically comprises the following steps:
Step one: defining a plurality of capacitance value demand intervals based on a plurality of types of information of a target capacitor, wherein the types of information and the capacitance value demand intervals have corresponding relations;
Specifically, the type information of the capacitor includes its structure such as a fixed capacitor, a variable capacitor, etc., a type of medium such as an inorganic medium, an organic medium, an electrolyte, etc., polarity or non-polarity, and other key characteristics such as withstand voltage, capacity accuracy, temperature coefficient, etc. These types of information directly affect the performance and usage scenario of the capacitor. When the capacitance value demand interval is defined, the capacitance value demand interval should correspond to various types of information of the target capacitor. For example, different types of capacitors may have different ranges of capacities. The possible capacitance value interval of the capacitor can be preliminarily determined according to the type of the capacitor. In addition, the intervals can be further refined in combination with the specific application scene of the capacitor. For example, a capacitor for a high-frequency oscillation circuit may be required to have a smaller capacitance value and a higher withstand voltage capability, while a capacitor for power supply filtering may be required to have a larger capacitance value and a lower ESR.
Step two: mapping a plurality of capacitance value adjustment intervals of the plurality of types of information according to the plurality of capacitance value demand intervals;
Specifically, the capacitance value demand interval reflects the range of the demand of the circuit for the capacitance value under different working states. For example, in a filter circuit, a large capacitance interval may be required to smooth power supply fluctuations; in an oscillating circuit, a small and precise capacitance interval may be required to control the oscillating frequency. Next, based on these capacitance value demand intervals, corresponding capacitor type information may be mapped or selected. Each capacitor type has its specific capacitance adjustment interval, which is determined by factors such as the physical structure, material properties, and manufacturing process of the capacitor. For example, ceramic capacitors generally have a wide range of capacitance values and high accuracy, and are suitable for applications requiring precise control of capacitance values; the electrolytic capacitor generally has larger capacitance value and higher voltage withstand capability, and is suitable for high-power applications such as power supply filtering and the like. However, the correspondence between the plurality of capacitance value adjustment sections and the plurality of capacitance values is not completely one-to-one correspondence, the capacitance value adjustment sections are used as the plurality of capacitance value adjustment sections after adjustment which need to be adjusted are arranged in the plurality of capacitance value demand sections, the capacitance value adjustment sections are not listed as the capacitance value adjustment sections which need to be adjusted, and the capacitance value which needs to be adjusted is problematic, so that the adjustment tool needs to be selected according to the plurality of capacitance value adjustment sections in the follow-up process.
Step three: selecting a first tool group to carry out adjustment matching of the plurality of types of information based on the plurality of capacitance value adjustment intervals, and generating tool matching information;
Specifically, based on these capacitance value adjustment sections, an appropriate tool set can be selected to perform adjustment matching of the capacitor type information. The tool set comprises test equipment, measuring instruments, automatic adjustment machines and the like, and the functions of the tool set are to detect, measure and adjust the capacitance value of the capacitor so as to ensure that the capacitance value meets a preset capacitance value adjustment interval. In the adjustment matching process, the first tool set can select a proper tool to accurately adjust the capacitor according to the specific requirement of the capacitance value adjustment interval. For example, if the capacitance of a capacitor is low, the associated device in the tool set may fine tune it to bring its capacitance to within a satisfactory range. Similarly, if the capacitance value is higher, a corresponding adjustment is made. After the matching is adjusted, tool matching information is generated. Including which tools are used for adjustment of a particular capacitor, comparison of capacitance values before and after adjustment, parameters during adjustment, etc.
Step four: acquiring N pins of a target capacitor based on the plurality of types of information, wherein N is an integer greater than or equal to 2;
In particular, the type information of the capacitor includes various aspects of its structure, capacity, voltage, precision, size, etc., which directly affect the pin count and design of the capacitor. For example, some types of capacitors, such as electrolytic capacitors, may require more pins to support their polarity characteristics, while other types of capacitors, such as ceramic capacitors, may have simpler pin configurations. The specific pin number and layout of the capacitor are determined according to the type information of the capacitor. Furthermore, the pin count of the capacitor may vary depending on the particular circuit design requirements. For example, some complex circuits may require the use of multiple capacitors in parallel or series, requiring more pins to connect the capacitors. Therefore, in acquiring the pin information of the target capacitor, it is acquired according to specific requirements and constraints.
Step five: activating the intelligent regulation terminal, transmitting the tool matching information to the intelligent regulation terminal to regulate the N pins, and monitoring the capacitance value of the target capacitor according to the regulation result to obtain a capacitance value change curve;
Specifically, first, the intelligent regulation terminal is an intelligent robot integrating an advanced control algorithm and a high-precision measurement technology. Various data from the production line can be received and processed, including tool matching information, pin configuration parameters, etc., and the pins of the capacitors can be precisely adjusted based on such information. After the intelligent regulation terminal is activated, tool matching information is transmitted to the terminal. This information contains the specific configuration and usage parameters of the tool set used to adjust the capacitor pins, providing the terminal with the detailed guidance needed to adjust the pins. The intelligent regulation terminal adjusts N pins of the capacitor according to the received tool matching information. The adjustment process may include positioning, alignment, length adjustment, etc. of the pins to ensure that the pin positions and configurations meet design requirements. After the pin adjustment is completed, the intelligent regulation terminal monitors the capacitance value of the target capacitor. Through high-precision measurement technology, the terminal can acquire the capacitance value of the capacitor in real time and compare the capacitance value with a preset specification range so as to evaluate the effect of pin adjustment. And finally, according to the monitored capacitance value data, the intelligent regulation terminal generates a capacitance value change curve. The curve can intuitively show the capacitance value change condition of the capacitor in the pin adjustment process.
Step six: and optimizing the adjustment result based on the capacitance value change curve, performing secondary adjustment on the N pins according to the adjustment optimization result, monitoring the capacitance value of the target capacitor, updating the capacitance value change curve, and fixing the adjustment positions of the N pins.
Specifically, after the pin is adjusted for the first time, the effect of pin adjustment on the capacitance value of the capacitor can be reflected by the capacitance value change curve obtained through monitoring. By analyzing the curve, the influence of the adjustment of which pins on the capacitance value is most obvious can be identified, and whether the adjustment direction is correct or not, such as increasing or decreasing the pin length, changing the pin spacing and the like. According to the characteristics of the curve and the optimization targets, such as minimizing the change of the capacitance value, improving the stability of the capacitance value, and the like, a more accurate adjustment strategy can be formulated. And carrying out second adjustment on the pins of the capacitor based on the optimized adjustment strategy. Such as trimming the location, shape, or connection of the pins to further optimize the performance of the capacitor. After the secondary adjustment, the capacitance value of the target capacitor is monitored again. By comparing the capacitance values before and after adjustment, it can be verified whether the effect of the secondary adjustment reaches the expectation. And adding the capacitance value data subjected to secondary adjustment into the original capacitance value change curve to form an updated curve. Once it is confirmed that the secondary adjustment has achieved the desired effect, the pin position of the capacitor needs to be fixed. This is achieved by using special fixtures, such as clamps, solder joints, etc., to ensure that the pins remain stable during subsequent production and use.
Further, the first step of the present application further comprises:
Performing target capacitor performance analysis based on the plurality of types of information to generate a plurality of performance parameters;
extracting the operation environment information of the target capacitor;
starting a target capacitor based on the operation environment information according to the performance parameters to obtain a plurality of operation capacitance values;
and defining a plurality of capacitance value demand intervals according to the plurality of running capacitance values.
Specifically, a plurality of types of information of the target capacitor, such as a structural type, a dielectric material, a dimensional specification, a rated operating voltage, a capacity value, and the like, are collected. From these types of information, the critical performance parameters of the target capacitor are analyzed using electronic engineering knowledge. These performance parameters may include capacitance, voltage withstand capability, equivalent series resistance, temperature coefficient, leakage current, etc. The performance of a capacitor is greatly affected by its operating environment, and thus, it is necessary to extract and monitor the operating environment information of the capacitor. Such environmental information may include temperature, humidity, operating voltage, amperage, operating frequency, and the like. Sensors may be used to acquire these environmental data in real time. The capacitor is started and continuously monitored for changes in its performance parameters and environmental conditions during its operation. During the operation of the capacitor, the actual capacitance value of the capacitor is obtained in real time through a measuring device or a built-in sensor. And analyzing the collected multiple operation capacitance value data to know the variation range and trend of the capacitance value under different operation environments. Based on these data and the performance requirements of the system, a plurality of capacitance demand intervals are defined. These intervals can be used as reference bases for subsequent capacitor selection, replacement or performance optimization.
Further, the fourth step of the present application further comprises:
determining target type information based on the matching of the plurality of type information and the target capacitor;
drawing a structure diagram of a target capacitor based on the target type information;
The method comprises the steps of calling a capacitor structure information base to identify all pins of a target capacitor in the structure diagram, and obtaining M positive pins and W negative pins, wherein M+W=N, M is an integer greater than or equal to 1, and W is an integer greater than or equal to 1;
and determining N pins of the target capacitor based on the M positive pins and the W negative pins.
Specifically, the plurality of capacitor type information includes parameters of a structure, a capacity range, an operating voltage, a size, and the like of the capacitor. When the type of the target capacitor needs to be determined, its known type information, such as from a specification, is matched with information in the database. By comparing and screening, the type information which is the best match with the target capacitor, namely the target type information, is found. Once the target type information is determined, a structural diagram of the capacitor may be drawn from the information. The structure may include the outline of the capacitor, internal structures such as electrode layers, dielectric layers, etc., and the general location and layout of the pins. Calling a capacitor structure information base to identify all pins of a target capacitor in a structure diagram: this information base may contain specific configurations regarding different types of capacitor pins, such as the number, location, function, and electrical characteristics of the pins, etc. The use of this information to identify pins in the block diagram ensures that each pin is properly labeled positive or negative. In the identification process, the number of positive pins and negative pins is counted and is respectively represented by M and W. It is ensured that the sum of M and W is equal to the total pin number N of the capacitor, and that both M and W are integers of 1 or more. Finally, the complete pin configuration of the target capacitor can be determined according to the identified positive and negative pin information.
Further, the application also comprises:
When the N pins are identified to be acquired and an activation instruction is sent, activating the intelligent regulation terminal according to the activation instruction;
transmitting the tool matching information to the intelligent regulation terminal to scan the appearance of a plurality of tools to generate a plurality of tool image sets;
pre-adjusting the M positive pins and the W negative pins according to the tool image sets to generate a pre-adjusting scheme;
according to the pre-adjustment scheme, the intelligent regulation terminal uses the first tool set to optimally adjust the M positive pins and the W negative pins, and the adjustment result is generated.
Specifically, the activation instruction is a signal for triggering the intelligent regulation terminal to start working, which indicates that the pin adjustment operation is to be performed next. After receiving the activation instruction, the intelligent regulation terminal starts the control system inside the intelligent regulation terminal. Including preparing to receive subsequent tool matching information and pin adjustment instructions, and initializing the device for scanning and image processing. Transmitting the tool matching information to the intelligent regulation terminal. The intelligent regulation terminal uses built-in scanning equipment, such as cameras, sensors and the like, to scan the appearance of a plurality of tools so as to acquire detailed shape, size and characteristic information of the tools. After the scanning is completed, the intelligent regulation terminal can generate a plurality of tool image sets. Each image set contains image data for different perspectives and details of the corresponding tool that will be used for accurate identification and localization in the subsequent pin adjustment process. And the intelligent regulation and control terminal compares and analyzes the tool image set with M positive pins and W negative pins of the target capacitor. Through image processing algorithms and machine learning techniques, the terminal generates a pre-alignment scheme that programs how to use these tools to make precise adjustments to the pins. According to the pre-adjustment scheme, the intelligent regulation terminal can use a first tool set, and the intelligent regulation terminal comprises test equipment, a measuring instrument and automation, and an adjusting machine performs optimization adjustment on M positive pins and W negative pins. The adjustment process may include bending, shearing, positioning, etc. of the pins to ensure that they meet design requirements and provide good electrical connection performance. After the adjustment is completed, the intelligent regulation terminal generates an adjustment result report or a data record. This report details the state changes before and after pin adjustment, the tools and methods used in the adjustment process, and the final adjustment effect evaluation.
Further, the application also comprises:
recording a real-time capacitance monitoring value of the target capacitor based on the adjustment result;
Sequencing the real-time capacitance monitoring values according to a monitoring time sequence to generate time period capacitance monitoring values;
And introducing a capacitance-time coordinate system, identifying a plurality of coordinate points based on the time period capacitance monitoring value, and carrying out adjacent connection on the plurality of coordinate points to obtain the capacitance value change curve.
Specifically, a real-time capacitance monitoring system is started. The system can measure the capacitance of the target capacitor continuously or at set time intervals and record these real-time data. The recorded data should include a time stamp for each measurement and a corresponding capacitance value to ensure accuracy and traceability of the data. Since the real-time capacitance monitoring values are recorded in the time sequence of actual measurement, the data are ordered to reflect the change of the capacitance values with time. Through sequencing, the capacitance value change curve generated later can be ensured to be continuous and smooth, and analysis and observation are convenient. And summarizing and averaging the real-time capacitance monitoring values according to a specific time period, such as every hour, every day or every week, so as to obtain the time period capacitance monitoring values. A two-dimensional coordinate system is established, wherein the horizontal axis represents time and the vertical axis represents capacitance. In this coordinate system, each point represents a capacitance value measured at a specific point in time. Each data point in the time period capacitance monitoring value, including the time stamp and the capacitance value, is converted to a coordinate point in a coordinate system. These coordinate points will be arranged in time order on a capacitance-time coordinate system. Adjacent coordinate points are connected by line segments to form a continuous curve. This curve is a capacitance change curve that intuitively shows the capacitance change of the target capacitor over a period of time.
Further, the application also comprises:
acquiring a capacitance value change trend based on the capacitance value change curve;
Identifying a capacitance value inflection point and a capacitance extreme point according to the capacitance value change trend;
traversing the capacitance value change curve by taking the capacitance value inflection point and the capacitance extreme point as index information to obtain a capacitance value abnormal point;
and determining the adjustment directions of the N pins according to the capacitance value change trend and the capacitance value abnormal points, optimizing the adjustment result, and generating the adjustment optimization result.
Specifically, by analyzing the capacitance value variation curve, the overall variation trend of the capacitance value with time can be observed. This includes different types of modes of variation, up, down, wave, etc., reflecting the performance state of the capacitor in actual operation. On the capacitance change curve, the inflection point refers to the point where the curve changes direction, and the extreme point is the local maximum or minimum point. The location of these keypoints can be accurately identified by mathematical analysis, such as derivative calculation or pattern recognition techniques. The inflection point and the extreme point of the capacitance value serve as important index information, so that the possible abnormal areas on the curve can be quickly positioned. By traversing the entire curve, in combination with these index points, abnormal points that do not correspond to normal variation trends can be detected, which points may represent abrupt changes or faults in capacitor performance. The change trend and the abnormal point information of the capacitance value are comprehensively analyzed, and the possible direction of pin adjustment can be deduced. For example, if the capacitance value continues to drop, the pins may need to be adjusted to improve the electrical connection; the capacitance value is lower than the target value, and it may be necessary to increase the capacity of the capacitor; conversely, the capacitance value of the capacitor needs to be reduced below the target value, and the capacitance of the capacitor may need to be increased; conversely, the capacitance value of the capacitor needs to be reduced below the target value, and the capacitance of the capacitor may need to be increased; conversely, capacity reduction is required. And optimizing the previous adjustment result according to the determined pin adjustment direction. Including fine tuning the position of the pins, improving the connection of the pins to other parts of the capacitor, etc. Determining the step length of pin adjustment according to the change trend, the slope or the change rate of the curve, determining the step length of pin adjustment according to the slope or the change rate of the curve, and trimming the area with faster curve change by using smaller step length; and in the area with slower variation, a larger step size can be used for quick adjustment. And after the optimization is finished, capacitance value measurement and recording are performed again to verify the optimization effect.
Further, the application also comprises:
according to the adjustment optimization result, the positions of the M positive pins and the W negative pins are adjusted and updated to generate a position adjustment data set;
and updating the capacitance value change curve according to the real-time capacitance monitoring value, the capacitance value change trend and the capacitance value abnormal point, and fixing the final positions of the M positive pins and the W negative pins of the position adjustment dataset serving as a target capacitor according to the updated capacitance value change curve.
Specifically, based on the adjustment optimization result, a specific adjustment direction and amplitude of each of the positive electrode pin and the negative electrode pin are determined. The positions of the pins are precisely adjusted by using a precise mechanical device or an automatic device, so that the pins reach an optimized position state. After the pin position adjustment is completed, final position data of each pin after adjustment is recorded. This data set should include information such as the identifier of each pin, the position coordinates before and after adjustment, and the amount of adjustment. After the pin position is adjusted, the capacitor is continuously subjected to real-time capacitance monitoring, and new capacitance value data are obtained. And adding the new data into the capacitance value change curve by combining the capacitance value change trend and the abnormal point information, thereby updating the curve. The updated curve will more accurately reflect the performance of the capacitor after pin adjustment. And analyzing the updated capacitance value change curve to confirm whether the pin position adjustment achieves the expected optimization effect. If the curve shows that the capacitance value is stable and meets the design requirement, the pin position recorded in the position adjustment data set is used as a final position to be fixed. The fixing of the pin position can be achieved by welding, fastening screws or other reliable connection means, ensuring that the pin position of the capacitor does not change during long-term use.
In summary, the intelligent adjustment method for the capacitor pins provided by the application has the following technical effects:
Defining a plurality of capacitance value demand intervals based on a plurality of types of information of a target capacitor, wherein the types of information and the capacitance value demand intervals have corresponding relations; mapping a plurality of capacitance value adjustment intervals of the plurality of types of information according to the plurality of capacitance value demand intervals; selecting a first tool group to carry out adjustment matching of the plurality of types of information based on the plurality of capacitance value adjustment intervals, and generating tool matching information; acquiring N pins of a target capacitor based on the plurality of types of information, wherein N is an integer greater than or equal to 2; activating the intelligent regulation terminal, transmitting the tool matching information to the intelligent regulation terminal to regulate the N pins, and monitoring the capacitance value of the target capacitor according to the regulation result to obtain a capacitance value change curve; based on the capacitance value change curve, the adjustment result is optimized, secondary adjustment is carried out on the N pins according to the adjustment optimization result, the capacitance value of the target capacitor is monitored, the capacitance value change curve is updated, the adjustment positions of the N pins are fixed, the problems that the prior art lacks of fine capacitance value adjustment, lacks of real-time monitoring and feedback, relies on manual operation, and causes low adjustment precision and low adjustment efficiency are effectively solved, the precision of pin adjustment and the quality and reliability of electronic products are improved, the capacitors with different models and specifications can be dealt with, and the flexibility and the adaptability of production are improved.
Example two
Based on the same inventive concept as the method for intelligently adjusting the capacitor pins in the foregoing embodiment, the present application also provides an intelligent system for adjusting the capacitor pins, referring to fig. 2, the system includes:
a demand interval acquisition module 11, where the demand interval acquisition module 11 is configured to define a plurality of capacitance value demand intervals based on a plurality of types of information of a target capacitor, where the plurality of types of information have a correspondence with the plurality of capacitance value demand intervals;
An adjustment interval acquisition module 12, where the adjustment interval acquisition module 12 is configured to map a plurality of capacitance value adjustment intervals of the plurality of types of information according to the plurality of capacitance value demand intervals;
A matching information generating module 13, where the matching information generating module 13 is configured to select a first tool group to perform adjustment matching of the multiple types of information based on the multiple capacitance value adjustment intervals, and generate tool matching information;
A pin acquisition module 14, where the pin acquisition module 14 is configured to acquire N pins of a target capacitor based on the plurality of types of information, where N is an integer greater than or equal to 2;
The change curve acquisition module 15 is used for activating the intelligent regulation terminal, transmitting the tool matching information to the intelligent regulation terminal to adjust the N pins, and monitoring the capacitance value of the target capacitor according to the adjustment result to acquire a capacitance value change curve;
The change curve updating module 16 is configured to optimize the adjustment result based on the capacitance value change curve, perform secondary adjustment on the N pins according to the adjustment optimization result, monitor the capacitance value of the target capacitor, update the capacitance value change curve, and fix the adjustment positions of the N pins.
Further, the demand interval acquisition module 11 in the system is further configured to:
Performing target capacitor performance analysis based on the plurality of types of information to generate a plurality of performance parameters;
extracting the operation environment information of the target capacitor;
starting a target capacitor based on the operation environment information according to the performance parameters to obtain a plurality of operation capacitance values;
and defining a plurality of capacitance value demand intervals according to the plurality of running capacitance values.
Further, the pin acquisition module 14 in the system is further configured to:
determining target type information based on the matching of the plurality of type information and the target capacitor;
drawing a structure diagram of a target capacitor based on the target type information;
The method comprises the steps of calling a capacitor structure information base to identify all pins of a target capacitor in the structure diagram, and obtaining M positive pins and W negative pins, wherein M+W=N, M is an integer greater than or equal to 1, and W is an integer greater than or equal to 1;
and determining N pins of the target capacitor based on the M positive pins and the W negative pins.
Further, the system also includes a pre-adjustment scheme generation module for:
When the N pins are identified to be acquired and an activation instruction is sent, activating the intelligent regulation terminal according to the activation instruction;
transmitting the tool matching information to the intelligent regulation terminal to scan the appearance of a plurality of tools to generate a plurality of tool image sets;
pre-adjusting the M positive pins and the W negative pins according to the tool image sets to generate a pre-adjusting scheme;
according to the pre-adjustment scheme, the intelligent regulation terminal uses the first tool set to optimally adjust the M positive pins and the W negative pins, and the adjustment result is generated.
Further, the period capacitance monitoring value generating module is configured to:
recording a real-time capacitance monitoring value of the target capacitor based on the adjustment result;
Sequencing the real-time capacitance monitoring values according to a monitoring time sequence to generate time period capacitance monitoring values;
And introducing a capacitance-time coordinate system, identifying a plurality of coordinate points based on the time period capacitance monitoring value, and carrying out adjacent connection on the plurality of coordinate points to obtain the capacitance value change curve.
Further, the system also comprises an optimization result acquisition module, wherein the optimization result acquisition module is used for:
acquiring a capacitance value change trend based on the capacitance value change curve;
Identifying a capacitance value inflection point and a capacitance extreme point according to the capacitance value change trend;
traversing the capacitance value change curve by taking the capacitance value inflection point and the capacitance extreme point as index information to obtain a capacitance value abnormal point;
and determining the adjustment directions of the N pins according to the capacitance value change trend and the capacitance value abnormal points, optimizing the adjustment result, and generating the adjustment optimization result.
Further, the system adjusts a data set acquisition module for:
according to the adjustment optimization result, the positions of the M positive pins and the W negative pins are adjusted and updated to generate a position adjustment data set;
and updating the capacitance value change curve according to the real-time capacitance monitoring value, the capacitance value change trend and the capacitance value abnormal point, and fixing the final positions of the M positive pins and the W negative pins of the position adjustment dataset serving as a target capacitor according to the updated capacitance value change curve.
The embodiments in this specification are described in a progressive manner, and each embodiment focuses on the difference from the other embodiments, and the foregoing method and specific example for intelligently adjusting a capacitor pin in the first embodiment of fig. 1 are equally applicable to the foregoing intelligent system for intelligently adjusting a capacitor pin in this embodiment, and by the foregoing detailed description of the foregoing method for intelligently adjusting a capacitor pin, those skilled in the art can clearly understand that the foregoing intelligent system for adjusting a capacitor pin in this embodiment is not described in detail herein for brevity of the specification. For the system disclosed in the embodiment, since the system corresponds to the method disclosed in the embodiment, the description is simpler, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalent techniques thereof, the present application is also intended to include such modifications and variations.
Claims (8)
1. The intelligent adjustment method of the capacitor pin is characterized by being applied to an intelligent adjustment system of the capacitor pin, wherein the intelligent adjustment system of the capacitor pin is in communication connection with an intelligent regulation terminal, and the method comprises the following steps:
Defining a plurality of capacitance value demand intervals based on a plurality of types of information of a target capacitor, wherein the types of information and the capacitance value demand intervals have corresponding relations;
Mapping a plurality of capacitance value adjustment intervals of the plurality of types of information according to the plurality of capacitance value demand intervals;
selecting a first tool group to carry out adjustment matching of the plurality of types of information based on the plurality of capacitance value adjustment intervals, and generating tool matching information;
acquiring N pins of a target capacitor based on the plurality of types of information, wherein N is an integer greater than or equal to 2;
activating the intelligent regulation terminal, transmitting the tool matching information to the intelligent regulation terminal to regulate the N pins, and monitoring the capacitance value of the target capacitor according to the regulation result to obtain a capacitance value change curve;
And optimizing the adjustment result based on the capacitance value change curve, performing secondary adjustment on the N pins according to the adjustment optimization result, monitoring the capacitance value of the target capacitor, updating the capacitance value change curve, and fixing the adjustment positions of the N pins.
2. The method of claim 1, wherein the plurality of capacitance value demand intervals are defined based on a plurality of types of information of the target capacitor, the method comprising:
Performing target capacitor performance analysis based on the plurality of types of information to generate a plurality of performance parameters;
extracting the operation environment information of the target capacitor;
starting a target capacitor based on the operation environment information according to the performance parameters to obtain a plurality of operation capacitance values;
and defining a plurality of capacitance value demand intervals according to the plurality of running capacitance values.
3. The method of claim 1, wherein N pins of a target capacitor are obtained based on the plurality of types of information, the method comprising:
determining target type information based on the matching of the plurality of type information and the target capacitor;
drawing a structure diagram of a target capacitor based on the target type information;
The method comprises the steps of calling a capacitor structure information base to identify all pins of a target capacitor in the structure diagram, and obtaining M positive pins and W negative pins, wherein M+W=N, M is an integer greater than or equal to 1, and W is an integer greater than or equal to 1;
and determining N pins of the target capacitor based on the M positive pins and the W negative pins.
4. The method of claim 3, wherein activating the intelligent regulation terminal, transmitting the tool matching information to the intelligent regulation terminal to adjust the N pins, the method comprising:
When the N pins are identified to be acquired and an activation instruction is sent, activating the intelligent regulation terminal according to the activation instruction;
transmitting the tool matching information to the intelligent regulation terminal to scan the appearance of a plurality of tools to generate a plurality of tool image sets;
pre-adjusting the M positive pins and the W negative pins according to the tool image sets to generate a pre-adjusting scheme;
according to the pre-adjustment scheme, the intelligent regulation terminal uses the first tool set to optimally adjust the M positive pins and the W negative pins, and the adjustment result is generated.
5. The method of claim 3, wherein the capacitance value of the target capacitor is monitored based on the adjustment result to obtain a capacitance value variation curve, the method comprising:
recording a real-time capacitance monitoring value of the target capacitor based on the adjustment result;
Sequencing the real-time capacitance monitoring values according to a monitoring time sequence to generate time period capacitance monitoring values;
And introducing a capacitance-time coordinate system, identifying a plurality of coordinate points based on the time period capacitance monitoring value, and carrying out adjacent connection on the plurality of coordinate points to obtain the capacitance value change curve.
6. The method of claim 5, wherein optimizing the adjustment result based on the capacitance value variation curve comprises:
acquiring a capacitance value change trend based on the capacitance value change curve;
Identifying a capacitance value inflection point and a capacitance extreme point according to the capacitance value change trend;
traversing the capacitance value change curve by taking the capacitance value inflection point and the capacitance extreme point as index information to obtain a capacitance value abnormal point;
and determining the adjustment directions of the N pins according to the capacitance value change trend and the capacitance value abnormal points, optimizing the adjustment result, and generating the adjustment optimization result.
7. The method of claim 6, wherein the N pins are secondarily adjusted according to the adjustment optimization result, and the capacitance value of the target capacitor is monitored, the capacitance value change curve is updated, and the adjustment positions of the N pins are fixed, the method comprising:
according to the adjustment optimization result, the positions of the M positive pins and the W negative pins are adjusted and updated to generate a position adjustment data set;
and updating the capacitance value change curve according to the real-time capacitance monitoring value, the capacitance value change trend and the capacitance value abnormal point, and fixing the final positions of the M positive pins and the W negative pins of the position adjustment dataset serving as a target capacitor according to the updated capacitance value change curve.
8. An intelligent regulation system for capacitor pins, characterized by the steps for implementing the method of any one of claims 1 to 7, said system comprising:
the system comprises a demand interval acquisition module, a storage module and a storage module, wherein the demand interval acquisition module is used for defining a plurality of capacitance value demand intervals based on a plurality of types of information of a target capacitor, and the types of information and the capacitance value demand intervals have corresponding relations;
the adjustment interval acquisition module is used for mapping a plurality of capacitance value adjustment intervals of the plurality of types of information according to the plurality of capacitance value demand intervals;
The matching information generation module is used for selecting a first tool group to carry out adjustment matching of the plurality of types of information based on the plurality of capacitance value adjustment intervals and generating tool matching information;
the pin acquisition module is used for acquiring N pins of the target capacitor based on the plurality of types of information, wherein N is an integer greater than or equal to 2;
the change curve acquisition module is used for activating the intelligent regulation terminal, transmitting the tool matching information to the intelligent regulation terminal to adjust the N pins, and monitoring the capacitance value of the target capacitor according to an adjustment result to acquire a capacitance value change curve;
And the change curve updating module is used for optimizing the adjustment result based on the capacitance value change curve, carrying out secondary adjustment on the N pins according to the adjustment optimization result, monitoring the capacitance value of the target capacitor, updating the capacitance value change curve and fixing the adjustment positions of the N pins.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410510278.7A CN118098842B (en) | 2024-04-26 | 2024-04-26 | Intelligent adjustment method and system for capacitor pins |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410510278.7A CN118098842B (en) | 2024-04-26 | 2024-04-26 | Intelligent adjustment method and system for capacitor pins |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118098842A CN118098842A (en) | 2024-05-28 |
| CN118098842B true CN118098842B (en) | 2024-07-02 |
Family
ID=91153559
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410510278.7A Active CN118098842B (en) | 2024-04-26 | 2024-04-26 | Intelligent adjustment method and system for capacitor pins |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118098842B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118507358A (en) * | 2024-07-16 | 2024-08-16 | 广东众森实业发展有限公司 | Automatic battery board circulation control method based on Internet of things technology |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101350249A (en) * | 2007-07-19 | 2009-01-21 | 纪彦玨 | Method for preparing leads type high voltage precision ceramics capacitor |
| CN217182035U (en) * | 2021-12-29 | 2022-08-12 | 苏州匠为化机电有限公司 | Automatic capacitor assembling equipment with high-precision pin cutting function |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW200903542A (en) * | 2007-07-11 | 2009-01-16 | Tony Chi | Menufacture method of accurate wire-type high-voltage ceramic capacitor |
-
2024
- 2024-04-26 CN CN202410510278.7A patent/CN118098842B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101350249A (en) * | 2007-07-19 | 2009-01-21 | 纪彦玨 | Method for preparing leads type high voltage precision ceramics capacitor |
| CN217182035U (en) * | 2021-12-29 | 2022-08-12 | 苏州匠为化机电有限公司 | Automatic capacitor assembling equipment with high-precision pin cutting function |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118098842A (en) | 2024-05-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN118098842B (en) | Intelligent adjustment method and system for capacitor pins | |
| KR100919333B1 (en) | Matching network characterization using variable impedance analysis | |
| JP4088499B2 (en) | Impedance matching device output end characteristic analysis method, impedance matching device, and impedance matching device output end characteristic analysis system | |
| US11215672B2 (en) | Battery detection method | |
| JP2005507557A (en) | Method and apparatus for semiconductor testing | |
| CN110389271A (en) | Testing System of Transformer and method | |
| JP2003302431A (en) | Output terminal characteristic analytical method of impedance matching device, impedance matching device and output terminal characteristic analytical system for impedance matching device | |
| CN108235801A (en) | The cut-in method and system of smart machine | |
| CN112485743A (en) | Mutual inductor deviation identification method based on PMU data | |
| CN112649719A (en) | Method, device and equipment for testing linear voltage stabilizer in chip | |
| CN106094771A (en) | Mobility determines system and method and terminal | |
| CN110991131B (en) | Junction temperature dynamic adjusting device and method for FPGA | |
| CN103995202A (en) | Automatic signal testing method, device and system | |
| CN113655370B (en) | Method, device, system and related equipment for determining abnormal test working condition of chip | |
| CN101483419A (en) | Apparatus for debugging radio frequency matching circuit and using method | |
| CN111695319A (en) | Method and equipment for compensating inductance of series loop of connector in real time | |
| CN113035730A (en) | Light source adjusting system and light source adjusting method for wafer test system | |
| CN103698639A (en) | System and method for automatically measuring waveform parameters of crystal oscillator | |
| CN106199486A (en) | A kind of measurement system of power meter temperature impact test | |
| CN115406691A (en) | Automatic testing method and system for air conditioner | |
| US20240094273A1 (en) | Wideband variable impedance load for high volume manufacturing qualification and on-site diagnostics | |
| CN112071766A (en) | Contact hole filling defect monitoring method and monitoring system thereof | |
| CN109991493A (en) | Electric energy monitoring method, device, equipment and system | |
| CN117310454B (en) | Chip testing method and related device | |
| CN116817995A (en) | Linear motor encoder signal calibration method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |