CN109815609A - A kind of impedance big data automatically analyzes and optimization method and system - Google Patents

A kind of impedance big data automatically analyzes and optimization method and system Download PDF

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Publication number
CN109815609A
CN109815609A CN201910098761.8A CN201910098761A CN109815609A CN 109815609 A CN109815609 A CN 109815609A CN 201910098761 A CN201910098761 A CN 201910098761A CN 109815609 A CN109815609 A CN 109815609A
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impedance
parameter
actual production
optimization
simulation
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CN109815609B (en
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傅宝林
杜红兵
纪成光
刘梦茹
肖璐
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Shengyi Electronics Co Ltd
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Shengyi Electronics Co Ltd
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

It is automatically analyzed the embodiment of the invention discloses a kind of impedance big data and optimization method and system this method comprises: requiring according to impedance design establishes impedance model, and export theoretical parameter table;Actual production parameter is collected, and for statistical analysis, generates actual production parameter list;Actual production parameter list is fed back into impedance simulation software, so that impedance simulation software simulation trial and generating impedance simulation parameter list;Integration Theory parameter list, actual production parameter list and impedance simulation parameter list, and anomaly analysis and optimization are carried out to parameters;According to the parameter after optimization, new impedance model is established;The production of bulk article is carried out according to new impedance model.A kind of impedance big data provided in an embodiment of the present invention automatically analyzes and optimization method and system, the capability improving of online product can be achieved, it is directed to the fast automatic positioning abnormal point of impedance problems energy simultaneously and analyzes comprehensively, can be combined with products characteristics Automatic Optimal improves impedance design model.

Description

A kind of impedance big data automatically analyzes and optimization method and system
Technical field
The present embodiments relate to field of computer technology more particularly to a kind of impedance big data automatically analyzes and optimization side Method and system.
Background technique
As electronic product updates rapidly, the transmission rate of high speed signal moves towards 20G+, 56G from 10G+ before +, the mounting medium that PCB is transmitted as signal, as the development of electronic technology and high speed signal will face new challenges, wherein Impedance is the more important technical indicator of High-Speed PCB product, and impedance consistency is required in high speed index (high-precision, tolerance are small) Stablize.Under current PC B processing procedure, the influence factor of impedance is more, contains supplied materials control, Line-width precision, (dielectric is normal by plate DK Number), how the thick precision of pressing Jie, the control of copper thickness and modelling etc. etc. guarantee that process of producing product resistance capabilities are stablized, Can find and position simultaneously anomalous effects factor and optimize promotion is the great difficult problem faced in current High-Speed PCB product.
Summary of the invention
The present invention provides a kind of impedance big data and automatically analyzes and optimization method and system, to solve the prior art not Foot.
To achieve the above object, the present invention provides technical solution below:
It is automatically analyzed and optimization method in a first aspect, the embodiment of the present invention provides a kind of impedance big data, this method comprises:
Impedance big data automatically analyze and optimization system in impedance model establish module, dock impedance simulation software, root According to the impedance design requirement of client, impedance model is established, and exports theoretical parameter table in data management platform;
The impedance big data automatically analyze and optimization system in manufacturing parameter module, collect production process in reality Manufacturing parameter, and it is for statistical analysis in the data management platform to the actual production parameter, generate actual production parameter Table;
The impedance big data automatically analyze and optimization system in impedance simulation module, by the actual production parameter list Feed back to the impedance simulation software so that the impedance simulation software is according to the actual production parameter, simulation trial go out with The corresponding impedance simulation parameter of the actual production parameter, generates impedance simulation parameter list;
The impedance big data automatically analyze and optimization system in anomaly analysis module, in the data management platform Integrate the theoretical parameter table, actual production parameter list and impedance simulation parameter list, and to parameters carry out anomaly analysis and Optimization;
The impedance big data automatically analyze and optimization system in impedance optimization module built according to the parameter after optimization Found new impedance model;
The impedance big data automatically analyze and optimization system in batch production module, according to the new impedance model Carry out the production of bulk article.
Further, the impedance big data automatically analyze and optimization method in, the impedance model includes interior layer impedance Model and outer layer impedance model;
Correspondingly, the theoretical parameter table include internal layer impedance parameter table corresponding with the internal layer impedance model and with institute State the corresponding outer layer impedance parameter table of outer layer impedance model.
Further, the impedance big data automatically analyze and optimization method in, the ginseng in the internal layer impedance parameter table Number includes core thickness, dielectric thickness, line width, line spacing, core plate dielectric constant, dielectric layer dielectric constant, copper thickness and impedance value;
Parameter in the outer layer impedance parameter table includes dielectric thickness, line width, line spacing, dielectric layer dielectric constant, copper Thickness, resist thickness, welding resistance dielectric constant and impedance value.
Further, the impedance big data automatically analyze and optimization method in, the impedance big data automatically analyze and Anomaly analysis module in optimization system integrates the theoretical parameter table, actual production parameter in the data management platform Table and impedance simulation parameter list, and include: to parameters progress anomaly analysis and optimization
The anomaly analysis module integrates the theoretical parameter table, actual production parameter list and impedance simulation parameter list;
The anomaly analysis module will be in the real impedance values and impedance simulation parameter list in the actual production parameter list Simulated impedance value carry out variance analysis;
If the real impedance values and simulated impedance value are variant, the anomaly analysis module joins the actual production Number feeds back to corresponding software and carries out the anti-push calculation of dielectric constant, and optimizes dielectric constant;
If the real impedance values and simulated impedance value indifference, the anomaly analysis module is not carried out dielectric constant Optimization;
The anomaly analysis module will be in the actual production parameter and theoretical parameter table in the actual production parameter list Theoretical parameter carries out variance analysis, and combines corresponding formula, corrects the theoretical parameter in the theoretical parameter table;
Theoretical parameter after correction is fed back to the impedance simulation software by the anomaly analysis module, so that the impedance Simulation softward recalculates inferential impedance value corresponding with the theoretical parameter after the correction;
The impedance value of the inferential impedance value and customer requirement is carried out variance analysis by the anomaly analysis module;
If the impedance value of the inferential impedance value and customer requirement is variant, the anomaly analysis module is adjusted by optimization Whole line width carries out disparity compensation to the inferential impedance value, so that the impedance value phase of compensated inferential impedance value and customer requirement Deng, and export the line width after optimizing and revising;
If the line width after optimizing and revising, within the scope of Customer design, the anomaly analysis module directlys adopt the optimization Line width adjusted;
If the line width after optimizing and revising, not within the scope of Customer design, the anomaly analysis module carries out laminated construction Optimization: choosing suitable dielectric layer according to dielectric constant phase approximately principle, so that the inferential impedance value and customer requirement after optimization Impedance value is consistent.
Further, the impedance big data automatically analyze and optimization method in, if the real impedance values and simulation Impedance value is variant, then the actual production parameter feedback to corresponding software is carried out dielectric constant by the anomaly analysis module Anti- push is calculated, and when optimizing dielectric constant, carries out simulation trial using following formula:
Wherein, Z is impedance, and ε is dielectric constant, and H is dielectric thickness, and W is line width, and T is that copper is thick.
Second aspect, the embodiment of the present invention provide that a kind of impedance big data automatically analyzes and optimization system, the system include:
Impedance model establishes module, for docking impedance simulation software, is required according to the impedance design of client, establishes impedance Model, and theoretical parameter table is exported in data management platform;
Manufacturing parameter module exists for collecting the actual production parameter in production process, and to the actual production parameter The data management platform is for statistical analysis, generates actual production parameter list;
Impedance simulation module, for the actual production parameter list to be fed back to the impedance simulation software, so that described For impedance simulation software according to the actual production parameter, simulation trial goes out impedance simulation ginseng corresponding with the actual production parameter Number generates impedance simulation parameter list;
Anomaly analysis module, for integrating the theoretical parameter table, actual production parameter in the data management platform Table and impedance simulation parameter list, and anomaly analysis and optimization are carried out to parameters;
Impedance optimization module, for establishing new impedance model according to the parameter after optimization;
Module is produced in batches, for carrying out the production of bulk article according to the new impedance model.
Further, the impedance big data automatically analyze and optimization system in, the impedance model includes interior layer impedance Model and outer layer impedance model;
Correspondingly, the theoretical parameter table include internal layer impedance parameter table corresponding with the internal layer impedance model and with institute State the corresponding outer layer impedance parameter table of outer layer impedance model.
Further, the impedance big data automatically analyze and optimization system in, the ginseng in the internal layer impedance parameter table Number includes core thickness, dielectric thickness, line width, line spacing, core plate dielectric constant, dielectric layer dielectric constant, copper thickness and impedance value;
Parameter in the outer layer impedance parameter table includes dielectric thickness, line width, line spacing, dielectric layer dielectric constant, copper Thickness, resist thickness, welding resistance dielectric constant and impedance value.
Further, the impedance big data automatically analyze and optimization system in, the anomaly analysis module is specifically used for:
Integrate the theoretical parameter table, actual production parameter list and impedance simulation parameter list;
Real impedance values in the actual production parameter list and the simulated impedance value in impedance simulation parameter list are carried out Variance analysis;
If the real impedance values and simulated impedance value are variant, by the actual production parameter feedback to corresponding soft Part carries out the anti-push of dielectric constant and calculates, and optimizes dielectric constant;
If the real impedance values and simulated impedance value indifference, do not optimize dielectric constant;
Actual production parameter in the actual production parameter list and the theoretical parameter in theoretical parameter table are subjected to difference Analysis, and corresponding formula is combined, correct the theoretical parameter in the theoretical parameter table;
Theoretical parameter after correction is fed back into the impedance simulation software, so that the impedance simulation software recalculates Inferential impedance value corresponding with the theoretical parameter after the correction;
The impedance value of the inferential impedance value and customer requirement is subjected to variance analysis;
If the impedance value of the inferential impedance value and customer requirement is variant, by optimizing and revising line width to the theory Impedance value carries out disparity compensation, so that compensated inferential impedance value is equal with the impedance value of customer requirement, and exports optimization and adjusts Line width after whole;
If the line width after optimizing and revising within the scope of Customer design, directlys adopt the line width after optimizing and revising;
If the line width after optimizing and revising not within the scope of Customer design, carries out the optimization of laminated construction: normal according to dielectric Number phase approximately principle chooses suitable dielectric layer, so that the inferential impedance value after optimization is consistent with the impedance value of customer requirement.
Further, the impedance big data automatically analyze and optimization system in, if the real impedance values and simulation Impedance value is variant, then the actual production parameter feedback to corresponding software is carried out dielectric constant by the anomaly analysis module Anti- push is calculated, and when optimizing dielectric constant, carries out simulation trial using following formula:
Wherein, Z is impedance, and ε is dielectric constant, and H is dielectric thickness, and W is line width, and T is that copper is thick.
A kind of impedance big data provided in an embodiment of the present invention automatically analyzes and optimization method and system are, it can be achieved that online produce The capability improving of product, while being directed to the fast automatic positioning abnormal point of impedance problems energy and analyzing comprehensively, it can be combined with product Feature Automatic Optimal improves impedance design model.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art To obtain other attached drawings according to these attached drawings.
Fig. 1 is that a kind of impedance big data that the embodiment of the present invention one provides automatically analyzes and the process of optimization method is illustrated Figure;
Fig. 2 is the impedance model figure that the embodiment of the present invention one provides;
Fig. 3 is that a kind of impedance big data provided by Embodiment 2 of the present invention automatically analyzes and the process of optimization method is illustrated Figure.
Fig. 4 is that a kind of impedance big data that the embodiment of the present invention three provides automatically analyzes and the structural representation of optimization system Figure.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Attached drawing 1 is please referred to, a kind of impedance big data for providing for the embodiment of the present invention one automatically analyzes and optimization method Flow diagram, the scene that this method is suitable for fast automatic positioning impedance abnormal point and analyzes comprehensively, this method are big by impedance Data analysis and optimization system execute, which can be integrated in production management platform by software and or hardware realization Inside.This method specifically comprises the following steps:
S101, impedance big data automatically analyze and optimization system in impedance model establish module, docking impedance simulation is soft Part is required according to the impedance design of client, establishes impedance model, and export theoretical parameter table in data management platform.
Wherein, the impedance model includes internal layer impedance model and outer layer impedance model, referring to fig. 2.
Correspondingly, the theoretical parameter table include internal layer impedance parameter table corresponding with the internal layer impedance model and with institute State the corresponding outer layer impedance parameter table of outer layer impedance model.
Illustratively, table 1 is internal layer impedance parameter table.Referring to table 1, internal layer impedance parameter table includes core thickness, medium Thickness, line width, line spacing (bottom and line width bottom in line width), core plate dielectric constant (DK), dielectric layer dielectric constant (DK), copper are thick And impedance value;
Table 2 is outer layer impedance parameter table.Referring to table 2, outer layer impedance parameter table includes dielectric thickness, line width (bottom in line width With line width go to the bottom), line spacing, dielectric layer dielectric constant (DK), copper thickness, welding resistance (ink) thickness, welding resistance (ink) dielectric constant (DK) and impedance value.
Table 1: internal layer impedance parameter table
Table 2: outer layer impedance parameter table
S102, the impedance big data automatically analyze and optimization system in manufacturing parameter module, collect production process in Actual production parameter, and it is for statistical analysis in the data management platform to the actual production parameter, generate practical raw Produce parameter list.
Specifically, first batch of plate production process, collects parameters, data pipe according to the theoretical parameter table of data management platform Platform carries out data analysis automatically, exports average value, Cpk (Measure of Process Capability) and Cp (process capability), and establish reality Manufacturing parameter table.
S103, the impedance big data automatically analyze and optimization system in impedance simulation module, by the actual production Parameter list feeds back to the impedance simulation software, so that the impedance simulation software is according to the actual production parameter, simulation fortune Impedance simulation parameter corresponding with the actual production parameter is calculated, impedance simulation parameter list is generated.
S104, the impedance big data automatically analyze and optimization system in anomaly analysis module, in the data management The theoretical parameter table, actual production parameter list and impedance simulation parameter list are integrated in platform, and parameters are carried out abnormal Analysis and optimization.
S105, the impedance big data automatically analyze and optimization system in impedance optimization module, according to the ginseng after optimization Number, establishes new impedance model.
Wherein, new impedance model is for instructing impedance design.
S106, the impedance big data automatically analyze and optimization system in batch production module, according to the new resistance Anti- model carries out the production of bulk article.
The production that bulk article is carried out according to the new impedance model, can reach and stablize and promote resistance capabilities.
A kind of impedance big data provided in an embodiment of the present invention automatically analyze and optimization method, it can be achieved that online product energy Power is promoted, while being directed to the fast automatic positioning abnormal point of impedance problems energy and being analyzed comprehensively, can be combined with products characteristics certainly Dynamic optimization improves impedance design model.
Embodiment two
As shown in figure 3, a kind of impedance big data provided by Embodiment 2 of the present invention automatically analyzes and optimization method, it is in reality Apply example one offer technical solution on the basis of, to step S104 " the impedance big data automatically analyze and optimization system in Anomaly analysis module integrates the theoretical parameter table, actual production parameter list and impedance simulation in the data management platform Parameter list, and anomaly analysis and optimization are carried out to parameters " advanced optimize.It is identical or corresponding as the various embodiments described above Details are not described herein for the explanation of term.That is:
The anomaly analysis module integrates the theoretical parameter table, actual production parameter list and impedance simulation parameter list;
The anomaly analysis module will be in the real impedance values and impedance simulation parameter list in the actual production parameter list Simulated impedance value carry out variance analysis;
If the real impedance values and simulated impedance value are variant, the anomaly analysis module joins the actual production Number feeds back to corresponding software and carries out the anti-push calculation of dielectric constant, and optimizes dielectric constant;
If the real impedance values and simulated impedance value indifference, the anomaly analysis module is not carried out dielectric constant Optimization;
The anomaly analysis module will be in the actual production parameter and theoretical parameter table in the actual production parameter list Theoretical parameter carries out variance analysis, and combines corresponding formula, corrects the theoretical parameter in the theoretical parameter table;
Theoretical parameter after correction is fed back to the impedance simulation software by the anomaly analysis module, so that the impedance Simulation softward recalculates inferential impedance value corresponding with the theoretical parameter after the correction;
The impedance value of the inferential impedance value and customer requirement is carried out variance analysis by the anomaly analysis module;
If the impedance value of the inferential impedance value and customer requirement is variant, the anomaly analysis module is adjusted by optimization Whole line width carries out disparity compensation to the inferential impedance value, so that the impedance value phase of compensated inferential impedance value and customer requirement Deng, and export the line width after optimizing and revising;
If the line width after optimizing and revising, within the scope of Customer design, the anomaly analysis module directlys adopt the optimization Line width adjusted;
If the line width after optimizing and revising, not within the scope of Customer design, the anomaly analysis module carries out laminated construction Optimization: choosing suitable dielectric layer according to dielectric constant phase approximately principle, so that the inferential impedance value and customer requirement after optimization Impedance value is consistent.
Based on above-mentioned optimization, as shown in figure 3, a kind of impedance big data provided in this embodiment automatically analyzes and optimization side Method may include steps of:
S201, impedance big data automatically analyze and optimization system in impedance model establish module, docking impedance simulation is soft Part is required according to the impedance design of client, establishes impedance model, and export theoretical parameter table in data management platform.
S202, the impedance big data automatically analyze and optimization system in manufacturing parameter module, collect production process in Actual production parameter, and it is for statistical analysis in the data management platform to the actual production parameter, generate practical raw Produce parameter list.
S203, the impedance big data automatically analyze and optimization system in impedance simulation module, by the actual production Parameter list feeds back to the impedance simulation software, so that the impedance simulation software is according to the actual production parameter, simulation fortune Impedance simulation parameter corresponding with the actual production parameter is calculated, impedance simulation parameter list is generated.
S204, the anomaly analysis module integrate the theoretical parameter table, actual production parameter list and impedance simulation parameter Table.
S205, the anomaly analysis module are by the real impedance values and impedance simulation parameter in the actual production parameter list Simulated impedance value in table carries out variance analysis, if the real impedance values and simulated impedance value are variant, executes S206, if The real impedance values and simulated impedance value indifference, then execute S207.
S206, the anomaly analysis module are anti-to corresponding software progress dielectric constant by the actual production parameter feedback Push is calculated, and optimizes dielectric constant;
Specifically, carrying out simulation trial using following formula:
Wherein, Z is impedance, and ε is dielectric constant, and H is dielectric thickness, and W is line width, and T is that copper is thick.
S207, the anomaly analysis module do not optimize dielectric constant.
S208, the anomaly analysis module are by the actual production parameter and theoretical parameter table in the actual production parameter list In theoretical parameter carry out variance analysis, and combine corresponding formula, correct the theoretical parameter in the theoretical parameter table.
Specifically, when dielectric thickness, line width/line spacing, copper thickness, welding resistance (ink) thickness of theoretical parameter etc. are a kind of or more When kind parameter and actual production parameter are variant, illustrate that the relevant parameter in theoretical parameter is required to carry out corresponding correction, together When generative theory parameter and actual production parameter difference table, other than the value of dielectric thickness, other parameters value is corrected as reality Measured value in the manufacturing parameter of border, according to different laminated construction, the formula according to the form below 3 is corrected for the value of dielectric thickness (being typically designed middle maximum continuously to be pressed using 4 P pieces):
Table 3: dielectric thickness calculation formula table
Theoretical parameter after correction is fed back to the impedance simulation software by S209, the anomaly analysis module, so that institute It states impedance simulation software and recalculates inferential impedance value corresponding with the theoretical parameter after the correction.
The impedance value of the inferential impedance value and customer requirement is carried out variance analysis by S210, the anomaly analysis module.
If the impedance value of S211, the inferential impedance value and customer requirement are variant, the anomaly analysis module passes through It optimizes and revises line width and disparity compensation is carried out to the inferential impedance value, so that the resistance of compensated inferential impedance value and customer requirement Anti- value is equal, and exports the line width after optimizing and revising,
S212, the line width after optimizing and revising is judged whether within the scope of Customer design, if the line width after optimizing and revising is in visitor In the scope of design of family, then S213 is executed, if the line width after optimizing and revising executes S214 not within the scope of Customer design.
Specifically, being substituted into impedance model each when the impedance value of the inferential impedance value and customer requirement is variant The impedance value of measured value and customer requirement, it is counter to push away the line width values obtained after optimizing.
S213, the anomaly analysis module directly adopt the line width after optimizing and revising.
S214, the anomaly analysis module carry out the optimization of laminated construction: it is suitable to choose according to dielectric constant phase approximately principle Dielectric layer so that optimization after inferential impedance value it is consistent with the impedance value of customer requirement.
Specifically, diameter uses this Optimal Parameters if the value of the line width after optimizing and revising is within the scope of Customer design;If Beyond in the scope of design of client, then the line width design after optimizing cannot be adopted the value of line width after optimizing and revising, necessary at this time Carry out the optimization of laminated construction: choosing suitable dielectric layer by dielectric constant phase approximately principle, and guarantee the impedance value after optimization with The inferential impedance value of Customer design is consistent.
S215, the impedance big data automatically analyze and optimization system in impedance optimization module, according to the ginseng after optimization Number, establishes new impedance model.
S216, the impedance big data automatically analyze and optimization system in batch production module, according to the new resistance Anti- model carries out the production of bulk article.
A kind of impedance big data provided in an embodiment of the present invention automatically analyze and optimization method, it can be achieved that online product energy Power is promoted, while being directed to the fast automatic positioning abnormal point of impedance problems energy and being analyzed comprehensively, can be combined with products characteristics certainly Dynamic optimization improves impedance design model.
Embodiment three
Fig. 4 automatically analyzes for a kind of impedance big data that the embodiment of the present invention three provides and the structural representation of optimization system Figure.The system is adapted for carrying out impedance big data provided in an embodiment of the present invention and automatically analyzes and optimization method.The system is specific Include following module:
Impedance model establishes module 31, for docking impedance simulation software, is required according to the impedance design of client, establishes resistance Anti- model, and theoretical parameter table is exported in data management platform;
Manufacturing parameter module 32, for collecting the actual production parameter in production process, and to the actual production parameter It is for statistical analysis in the data management platform, generate actual production parameter list;
Impedance simulation module 33, for the actual production parameter list to be fed back to the impedance simulation software, so that institute Impedance simulation software is stated according to the actual production parameter, simulation trial goes out impedance simulation corresponding with the actual production parameter Parameter generates impedance simulation parameter list;
Anomaly analysis module 34, for integrating the theoretical parameter table, actual production ginseng in the data management platform Number table and impedance simulation parameter list, and anomaly analysis and optimization are carried out to parameters;
Impedance optimization module 35, for establishing new impedance model according to the parameter after optimization;
Module 36 is produced in batches, for carrying out the production of bulk article according to the new impedance model.
Preferably, the impedance model includes internal layer impedance model and outer layer impedance model;
Correspondingly, the theoretical parameter table include internal layer impedance parameter table corresponding with the internal layer impedance model and with institute State the corresponding outer layer impedance parameter table of outer layer impedance model.
Preferably, the parameter in the internal layer impedance parameter table includes core thickness, dielectric thickness, line width, line spacing, core Plate dielectric constant, dielectric layer dielectric constant, copper thickness and impedance value;
Parameter in the outer layer impedance parameter table includes dielectric thickness, line width, line spacing, dielectric layer dielectric constant, copper Thickness, resist thickness, welding resistance dielectric constant and impedance value.
Preferably, the anomaly analysis module is specifically used for:
Integrate the theoretical parameter table, actual production parameter list and impedance simulation parameter list;
Real impedance values in the actual production parameter list and the simulated impedance value in impedance simulation parameter list are carried out Variance analysis;
If the real impedance values and simulated impedance value are variant, by the actual production parameter feedback to corresponding soft Part carries out the anti-push of dielectric constant and calculates, and optimizes dielectric constant;
If the real impedance values and simulated impedance value indifference, do not optimize dielectric constant;
Actual production parameter in the actual production parameter list and the theoretical parameter in theoretical parameter table are subjected to difference Analysis, and corresponding formula is combined, correct the theoretical parameter in the theoretical parameter table;
Theoretical parameter after correction is fed back into the impedance simulation software, so that the impedance simulation software recalculates Inferential impedance value corresponding with the theoretical parameter after the correction;
The impedance value of the inferential impedance value and customer requirement is subjected to variance analysis;
If the impedance value of the inferential impedance value and customer requirement is variant, by optimizing and revising line width to the theory Impedance value carries out disparity compensation, so that compensated inferential impedance value is equal with the impedance value of customer requirement, and exports optimization and adjusts Line width after whole;
If the line width after optimizing and revising within the scope of Customer design, directlys adopt the line width after optimizing and revising;
If the line width after optimizing and revising not within the scope of Customer design, carries out the optimization of laminated construction: normal according to dielectric Number phase approximately principle chooses suitable dielectric layer, so that the inferential impedance value after optimization is consistent with the impedance value of customer requirement.
Preferably, if variant in the real impedance values and simulated impedance value, the anomaly analysis module will be described Actual production parameter feedback to corresponding software carries out the anti-push of dielectric constant and calculates, and when optimizing dielectric constant, using following public affairs Formula carries out simulation trial:
Wherein, Z is impedance, and ε is dielectric constant, and H is dielectric thickness, and W is line width, and T is that copper is thick.
A kind of impedance big data provided in an embodiment of the present invention automatically analyze and optimization system, it can be achieved that online product energy Power is promoted, while being directed to the fast automatic positioning abnormal point of impedance problems energy and being analyzed comprehensively, can be combined with products characteristics certainly Dynamic optimization improves impedance design model.
Method provided by any embodiment of the invention can be performed in above system, has the corresponding functional module of execution method And beneficial effect.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although referring to before Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features;And these It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.

Claims (10)

1. a kind of impedance big data automatically analyzes and optimization method characterized by comprising
Impedance big data automatically analyze and optimization system in impedance model establish module, impedance simulation software is docked, according to visitor The impedance design requirement at family establishes impedance model, and exports theoretical parameter table in data management platform;
The impedance big data automatically analyze and optimization system in manufacturing parameter module, collect production process in actual production Parameter, and it is for statistical analysis in the data management platform to the actual production parameter, generate actual production parameter list;
The impedance big data automatically analyze and optimization system in impedance simulation module, by the actual production parameter list feed back To the impedance simulation software so that the impedance simulation software is according to the actual production parameter, simulation trial go out with it is described The corresponding impedance simulation parameter of actual production parameter generates impedance simulation parameter list;
The impedance big data automatically analyze and optimization system in anomaly analysis module, integrated in the data management platform The theoretical parameter table, actual production parameter list and impedance simulation parameter list, and anomaly analysis and optimization are carried out to parameters;
The impedance big data automatically analyze and optimization system in impedance optimization module established new according to the parameter after optimization Impedance model;
The impedance big data automatically analyze and optimization system in batch production module, carried out according to the new impedance model The production of bulk article.
2. impedance big data according to claim 1 automatically analyzes and optimization method, which is characterized in that the impedance model Including internal layer impedance model and outer layer impedance model;
Correspondingly, the theoretical parameter table include internal layer impedance parameter table corresponding with the internal layer impedance model and with it is described outer The corresponding outer layer impedance parameter table of layer impedance model.
3. impedance big data according to claim 2 automatically analyzes and optimization method, which is characterized in that the interior layer impedance Parameter in parameter list include core thickness, dielectric thickness, line width, line spacing, core plate dielectric constant, dielectric layer dielectric constant, Copper thickness and impedance value;
Parameter in the outer layer impedance parameter table includes dielectric thickness, line width, line spacing, dielectric layer dielectric constant, copper is thick, hinders Weld thickness, welding resistance dielectric constant and impedance value.
4. impedance big data according to claim 1 automatically analyzes and optimization method, which is characterized in that the big number of impedance According to automatically analyze and optimization system in anomaly analysis module, integrated in the data management platform theoretical parameter table, Actual production parameter list and impedance simulation parameter list, and include: to parameters progress anomaly analysis and optimization
The anomaly analysis module integrates the theoretical parameter table, actual production parameter list and impedance simulation parameter list;
The anomaly analysis module by the actual production parameter list real impedance values and impedance simulation parameter list in mould Quasi- impedance value carries out variance analysis;
If the real impedance values and simulated impedance value are variant, the anomaly analysis module is anti-by the actual production parameter It is fed to corresponding software and carries out the anti-push calculation of dielectric constant, and optimize dielectric constant;
If the real impedance values and simulated impedance value indifference, the anomaly analysis module does not carry out dielectric constant excellent Change;
The anomaly analysis module by the actual production parameter list actual production parameter and theoretical parameter table in theory Parameter carries out variance analysis, and combines corresponding formula, corrects the theoretical parameter in the theoretical parameter table;
Theoretical parameter after correction is fed back to the impedance simulation software by the anomaly analysis module, so that the impedance simulation Software recalculates inferential impedance value corresponding with the theoretical parameter after the correction;
The impedance value of the inferential impedance value and customer requirement is carried out variance analysis by the anomaly analysis module;
If the impedance value of the inferential impedance value and customer requirement is variant, the anomaly analysis module is by optimizing and revising line Width carries out disparity compensation to the inferential impedance value, so that compensated inferential impedance value is equal with the impedance value of customer requirement, And export the line width after optimizing and revising;
If the line width after optimizing and revising, within the scope of Customer design, the anomaly analysis module directlys adopt described optimize and revise Line width afterwards;
If the line width after optimizing and revising, not within the scope of Customer design, the anomaly analysis module carries out the excellent of laminated construction Change: choosing suitable dielectric layer according to dielectric constant phase approximately principle, so that the resistance of inferential impedance value and customer requirement after optimization Anti- value is consistent.
5. impedance big data according to claim 4 automatically analyzes and optimization method, which is characterized in that if in the reality Impedance value and simulated impedance value are variant, then the anomaly analysis module is by the actual production parameter feedback to corresponding software When carrying out the anti-push of dielectric constant to calculate, and optimizing dielectric constant, simulation trial is carried out using following formula:
Wherein, Z is impedance, and ε is dielectric constant, and H is dielectric thickness, and W is line width, and T is that copper is thick.
6. a kind of impedance big data automatically analyzes and optimization system characterized by comprising
Impedance model establishes module, for docking impedance simulation software, is required according to the impedance design of client, establishes modulus of impedance Type, and theoretical parameter table is exported in data management platform;
Manufacturing parameter module, for collecting the actual production parameter in production process, and to the actual production parameter described Data management platform is for statistical analysis, generates actual production parameter list;
Impedance simulation module, for the actual production parameter list to be fed back to the impedance simulation software, so that the impedance Simulation softward goes out impedance simulation parameter corresponding with the actual production parameter according to the actual production parameter, simulation trial, Generate impedance simulation parameter list;
Anomaly analysis module, for integrated in the data management platform theoretical parameter table, actual production parameter list and Impedance simulation parameter list, and anomaly analysis and optimization are carried out to parameters;
Impedance optimization module, for establishing new impedance model according to the parameter after optimization;
Module is produced in batches, for carrying out the production of bulk article according to the new impedance model.
7. impedance big data according to claim 6 automatically analyzes and optimization system, which is characterized in that the impedance model Including internal layer impedance model and outer layer impedance model;
Correspondingly, the theoretical parameter table include internal layer impedance parameter table corresponding with the internal layer impedance model and with it is described outer The corresponding outer layer impedance parameter table of layer impedance model.
8. impedance big data according to claim 7 automatically analyzes and optimization system, which is characterized in that the interior layer impedance Parameter in parameter list include core thickness, dielectric thickness, line width, line spacing, core plate dielectric constant, dielectric layer dielectric constant, Copper thickness and impedance value;
Parameter in the outer layer impedance parameter table includes dielectric thickness, line width, line spacing, dielectric layer dielectric constant, copper is thick, hinders Weld thickness, welding resistance dielectric constant and impedance value.
9. impedance big data according to claim 6 automatically analyzes and optimization system, which is characterized in that the anomaly analysis Module is specifically used for:
Integrate the theoretical parameter table, actual production parameter list and impedance simulation parameter list;
Real impedance values in the actual production parameter list and the simulated impedance value in impedance simulation parameter list are subjected to difference Analysis;
If the real impedance values and simulated impedance value it is variant, by the actual production parameter feedback to corresponding software into The anti-push of row dielectric constant is calculated, and optimizes dielectric constant;
If the real impedance values and simulated impedance value indifference, do not optimize dielectric constant;
Actual production parameter in the actual production parameter list and the theoretical parameter in theoretical parameter table are subjected to variance analysis, And corresponding formula is combined, correct the theoretical parameter in the theoretical parameter table;
Theoretical parameter after correction is fed back into the impedance simulation software, so that the impedance simulation software recalculates and institute State the corresponding inferential impedance value of theoretical parameter after correcting;
The impedance value of the inferential impedance value and customer requirement is subjected to variance analysis;
If the impedance value of the inferential impedance value and customer requirement is variant, by optimizing and revising line width to the inferential impedance Value carries out disparity compensation, so that after compensated inferential impedance value is equal with the impedance value of customer requirement, and output is optimized and revised Line width;
If the line width after optimizing and revising within the scope of Customer design, directlys adopt the line width after optimizing and revising;
If the line width after optimizing and revising not within the scope of Customer design, carries out the optimization of laminated construction: according to dielectric constant phase Approximately principle chooses suitable dielectric layer, so that the inferential impedance value after optimization is consistent with the impedance value of customer requirement.
10. impedance big data according to claim 1 automatically analyzes and optimization method, which is characterized in that if in the reality Border impedance value and simulated impedance value are variant, then the anomaly analysis module is by the actual production parameter feedback to corresponding soft Part carries out the anti-push of dielectric constant and calculates, and when optimizing dielectric constant, carries out simulation trial using following formula:
Wherein, Z is impedance, and ε is dielectric constant, and H is dielectric thickness, and W is line width, and T is that copper is thick.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112492757A (en) * 2020-11-26 2021-03-12 福建福强精密印制线路板有限公司 Circuit board etching simulation method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101908082A (en) * 2010-04-30 2010-12-08 梅州市志浩电子科技有限公司 Impedance design method and device for printed circuit board
CN107065795A (en) * 2017-03-27 2017-08-18 深圳崇达多层线路板有限公司 The automatic charging method and its system of a kind of multi-varieties and small-batch pcb board
CN107094349A (en) * 2017-06-20 2017-08-25 广州兴森快捷电路科技有限公司 Printed circuit board and preparation method thereof
CN108072343A (en) * 2017-12-18 2018-05-25 广州兴森快捷电路科技有限公司 The appraisal procedure of PCB new material harmomegathus penalty coefficients
US20180228019A1 (en) * 2017-02-09 2018-08-09 Cray Inc. Method for impedance compensation in printed circuit boards
CN109275259A (en) * 2018-09-20 2019-01-25 郑州云海信息技术有限公司 A kind of production method of pcb board and a kind of pcb board

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101908082A (en) * 2010-04-30 2010-12-08 梅州市志浩电子科技有限公司 Impedance design method and device for printed circuit board
US20180228019A1 (en) * 2017-02-09 2018-08-09 Cray Inc. Method for impedance compensation in printed circuit boards
CN107065795A (en) * 2017-03-27 2017-08-18 深圳崇达多层线路板有限公司 The automatic charging method and its system of a kind of multi-varieties and small-batch pcb board
CN107094349A (en) * 2017-06-20 2017-08-25 广州兴森快捷电路科技有限公司 Printed circuit board and preparation method thereof
CN108072343A (en) * 2017-12-18 2018-05-25 广州兴森快捷电路科技有限公司 The appraisal procedure of PCB new material harmomegathus penalty coefficients
CN109275259A (en) * 2018-09-20 2019-01-25 郑州云海信息技术有限公司 A kind of production method of pcb board and a kind of pcb board

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张晓倩等: "PCB建模在阻抗产品加工过程中的风险管控实践", 《质量管理体系评估最佳实践论文集》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112492757A (en) * 2020-11-26 2021-03-12 福建福强精密印制线路板有限公司 Circuit board etching simulation method

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