CN-122017714-A - Automatic verification method and device for intelligent measurement product

CN122017714ACN 122017714 ACN122017714 ACN 122017714ACN-122017714-A

Abstract

The invention discloses an automatic verification method and device for intelligent measurement products, in particular to the technical field of intelligent measurement and automatic verification of impedance parameters, which comprises the steps of reading the nominal values of impedance items, frequency points, measuring ranges and branches of the products to be detected, and combining the frequency point with the impedance branch, and correspondingly switching the same impedance branch by two times to generate a verification sequence and output excitation parameters, branch parameters and wiring parameters. The method comprises the steps of generating an verification sequence according to the combination of frequency points and impedance branches, configuring two wiring switches under the same impedance branch, and combining the componentization calculation of wiring difference, product deviation and branch drift to separate the internal measurement error of the detected product from the additional error of the verification link, so that the method is beneficial to relatively inhibiting the result inversion and the erroneous judgment caused by total error aliasing.

Inventors

LEI MING
XIANG CHAO
LIN MINGGUANG
WANG QINGZENG
REN YUTAO
HUANG YIGUAN
CHEN SHUNAN

Assignees

浙江晨泰科技股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260414

Claims (10)

1. An automated assay method for intelligent measurement products, comprising: s1, reading impedance items, frequency points, measuring ranges and branch nominal values of a detected product, and correspondingly switching wires of the same impedance branch twice according to combination of the frequency points and the impedance branch to generate a verification sequence and outputting excitation parameters, branch parameters and wiring parameters; s2, controlling the verification device to connect the impedance branch and switch the wiring mode according to the excitation parameter, the branch parameter and the wiring parameter, driving the detected product to execute impedance measurement, collecting the measured value, the measuring moment and the branch identification, and outputting the original data; S3, pairing the original data according to the same frequency point, the same impedance branch and different wiring modes, calculating the difference between two measured values to obtain a wiring difference value, taking an arithmetic average value according to the wiring difference value of the same frequency point to obtain a link error component, calculating a standard deviation according to the difference between the measured value and a nominal value of the same impedance branch to obtain a product error component, obtaining a branch drift component according to the difference between the first and last measured values of the same impedance branch, and outputting the error component; S4, sequencing error components according to frequency points and measurement moments, calculating arithmetic average values, polar differences and adjacent difference values according to the frequency points for the error components of the product, calculating arithmetic average values according to branch and wiring modes for the error components of the link, calculating arithmetic average values of head-tail difference values for drift components of the branch, and outputting health parameters and station health parameters of the product; S5, correspondingly taking the product health parameters as impedance deviation results, correspondingly taking the station health parameters as station deviation results, writing branch compensation amounts according to branches, writing wiring compensation amounts according to wiring modes, writing maintenance instructions according to stations, and outputting verification conclusion and final verification results.
2. The automated assay method of an intelligent measurement product of claim 1, wherein: The S1 comprises the following steps: S1-1, reading each frequency point, each measuring range and each impedance branch nominal value corresponding to an impedance item, generating a first test unit according to a mode of combining the frequency points and the impedance branches in pairs, and outputting a first test unit set; S1-2, respectively configuring two wiring switches for each first test unit in the first test unit set, generating a second test unit set according to the mode that different impedance branches are alternately arranged under the same frequency point and the wiring switches are alternately arranged front and back for two times under the same impedance branch, and outputting a verification sequence; s1-3, extracting corresponding frequency points, measuring ranges, impedance branches and wiring switching sequences according to each second test unit in the verification sequence, and generating excitation parameters, branch switching parameters and wiring switching parameters which are in one-to-one correspondence with the verification sequence.
3. An automated assay method for intelligent measurement products according to claim 2, wherein: The step S2 comprises the following steps: S2-1, controlling the verification device to sequentially connect corresponding impedance branches and switch corresponding connection modes according to excitation parameters, branch switching parameters and connection switching parameters, driving a detected product to sequentially execute impedance measurement, and outputting measured values corresponding to each measurement; s2-2, reading the branch identification of the corresponding impedance branch and the measurement time of the corresponding measured value while outputting each measured value, binding the measured value, the branch identification and the measurement time according to the same impedance measurement, and outputting a single measurement record set; S2-3, sequentially arranging the single measurement record sets according to the execution sequence in the verification sequence to generate original data.
4. An automated assay method for intelligent measurement products according to claim 3, wherein: The step S3 comprises the following steps: S3-1, pairing the original data according to the same frequency point, the same impedance branch and different wiring modes, calculating the difference between two measurement values in the group to obtain a wiring differential value, and writing the wiring differential value, the frequency point, the impedance branch, the wiring mode and the measurement time into a differential record set; S3-2, constructing frequency point windows for the differential record sets according to the same frequency points, respectively calculating the average value, the range and the symbol inversion times of the differential values in the connection points in each frequency point window, carrying out cross check on the average value, the range and the symbol inversion times by using a connection consistency checker, outputting a link token and writing the corresponding frequency points into a link candidate set.
5. The automated assay method of intelligent measurement products of claim 4, wherein: the step S3 further includes: S3-3, constructing branch windows for the original data according to the same impedance branch, respectively calculating the dispersion, the time sequence slope and the front-back difference of the difference between the measured value and the nominal value in each branch window, carrying out cross check on the dispersion, the time sequence slope and the front-back difference by using a branch stability checker, outputting a branch token and writing the corresponding impedance branch into a branch candidate set; S3-4, establishing a time sequence propagation chain for the link candidate set and the branch candidate set according to the same measurement time, calculating a differential aggregation value of trans-impedance branches of the same frequency point, a drift aggregation value of trans-frequency points of the same impedance branch and conflict counting at the same measurement time, updating the link token and the branch token by utilizing a conflict resolution device according to a mode that the link token locks the frequency point path preferentially, the branch token locks the branch path preferentially, and the conflict counting triggers the rollback recombination when reaching a rollback condition, and writing the updated link token and the branch token into a token state table.
6. The automated assay method of intelligent measurement products of claim 5, wherein: the step S3 further includes: S3-5, summing and averaging the wiring difference values of the locked frequency point paths in the token state table according to frequency points to obtain a link error component, obtaining a product error component by calculating dispersion of the difference between the measured value of the locked branch path and the nominal value, obtaining a branch drift component by averaging the difference between the measured value of the locked branch path and the two measured values before and after the locked branch path, and writing the link error component, the product error component and the branch drift component into an error component set; S3-6, performing cross-view consistency check on the error component set, generating a re-detection token and writing back a re-detection mark when the link error component and the branch drift component simultaneously pass through the corresponding constraint interval at the same measurement time, and generating a confirmation token and outputting the error component when the link error component, the product error component and the branch drift component meet the corresponding constraint interval.
7. The automated assay method of intelligent measurement products of claim 6, wherein: the step S4 comprises the following steps: S4-1, rearranging error components according to a frequency point sequence and a measurement time sequence, constructing a frequency point sequence, a branch sequence and a time sequence, and outputting a sequence data set; S4-2, calculating a frequency point mean value and a frequency point extremely difference of product error components in the sequence data set according to the frequency point sequence, calculating the difference between two adjacent product error components according to the time sequence to obtain a time sequence increment, and outputting a product characteristic set.
8. The automated assay method of an intelligent measurement product of claim 7, wherein: the S4 further includes: S4-3, calculating a branch mean value according to a branch sequence for a link error component in the sequence data set, calculating a wiring mean value according to a wiring mode, calculating a front-back difference mean value according to a time sequence for a branch drift component in the sequence data set, and outputting a station characteristic set; S4-4, combining the frequency point mean value, the frequency point range and the time sequence increment in the product feature set according to the frequency point mean value to generate a product health parameter, and combining the branch mean value, the wiring mean value and the front-rear difference mean value in the station feature set according to the branch position to generate a station health parameter.
9. The automated assay method of an intelligent measurement product of claim 8, wherein: The step S5 comprises the following steps: S5-1, corresponding product health parameters to each impedance item according to frequency points, calculating frequency point deviation aggregate values of each impedance item to obtain an impedance deviation result, corresponding station health parameters to each verification station according to impedance branches and wiring modes, and calculating station deviation aggregate values of each verification station to obtain a station deviation result; S5-2, carrying out cross combination on the impedance deviation result and the station deviation result, decomposing each deviation source according to the corresponding relation among the impedance items, the impedance branches and the wiring modes, generating branch compensation amounts corresponding to each impedance branch, wiring compensation amounts corresponding to each wiring mode and station maintenance instructions corresponding to each verification station, and outputting a compensation instruction set; s5-3, correspondingly generating a verification conclusion according to the impedance item by using the impedance deviation result and the compensation instruction set, and combining the verification conclusion, the branch compensation quantity, the wiring compensation quantity and the station maintenance instruction into a final verification result.
10. An automated verification apparatus for intelligent measurement products, for implementing an automated verification method for intelligent measurement products according to any one of claims 1 to 9, comprising: The sequence arrangement module reads the impedance item, the frequency point, the measuring range and the branch nominal value of the detected product, and generates an verification sequence according to the combination of the frequency point and the impedance branch and the corresponding twice wiring switching of the same impedance branch, and outputs excitation parameters, branch parameters and wiring parameters; The parameter execution module is used for controlling the verification device to switch on an impedance branch and switch a wiring mode according to the excitation parameter, the branch parameter and the wiring parameter, driving the detected product to execute impedance measurement, collecting a measured value, a measuring moment and a branch identifier, and outputting original data; The error decoupling module is used for pairing the original data according to the same frequency point, the same impedance branch and different wiring modes, calculating the difference between the two measured values to obtain a wiring difference value, taking an arithmetic average value according to the difference value of the wiring between the same frequency point and the wiring to obtain a link error component, calculating a standard deviation according to the difference between the measured value and a nominal value of the same impedance branch to obtain a product error component, obtaining a branch drift component according to the difference between the first and last measured values of the same impedance branch, and outputting the error component; The health evaluation module is used for sequencing error components according to frequency points and measuring moments, calculating arithmetic average values, polar differences and adjacent difference values according to the frequency points for the error components of the product, calculating arithmetic average values according to branch and wiring modes for the error components of the link, calculating arithmetic average values of head-tail difference values for drift components of the branch, and outputting product health parameters and station health parameters; The result decision module is used for correspondingly taking the product health parameters as impedance deviation results, correspondingly taking the station health parameters as station deviation results, writing the branch compensation quantity according to the branches, writing the wiring compensation quantity according to the wiring mode, writing the maintenance instruction according to the stations, and outputting the verification conclusion and the final verification result.

Description

Automatic verification method and device for intelligent measurement product Technical Field The invention relates to the technical field of intelligent measurement and automatic verification of impedance parameters, in particular to an automatic verification method and device for an intelligent measurement product. Background In the field of intelligent measurement product automation verification, the main current practice in the industry is mainly to solve the problem that whether the impedance measurement function of the detected product meets the precision requirement or not, and generally, a standard resistor, a standard capacitor, a standard inductor or a complex impedance standard component is adopted as a reference, an automatic switching unit is sequentially connected into the detected product according to a preset detection point, the measurement result is collected under the conditions of a fixed frequency point, a fixed wiring mode and a fixed range, and error judgment, qualified screening or periodic calibration is completed by comparing the measurement result with a standard value; for example, when the intelligent measurement terminal with resistance, capacitance, inductance and equivalent impedance measurement functions is used for carrying out batch automatic detection on a production line, the system needs to continuously complete multi-station switching, fixture contact, reference impedance calling and multi-range testing in a limited beat, and meanwhile, the constraint of high repeatability and low recheck rate is also satisfied; Under the constraint, the prior art can stably expose a key defect that when the contact state of a test fixture changes, the parasitic parameters of a lead fluctuate, the aging of a switching channel, the drift of a reference impedance network and the degradation of an impedance measurement link in a detected product coexist, the total error after superposition appears in a final detection result, so that the observable phenomena of result reversion, boundary sample misjudgment rate rise, batch data integral backswing after station maintenance and the like of the same product occur in different stations, different shifts or before and after the re-detection are caused, and the fundamental reason is that the prior detection mode can only judge whether the error is out of tolerance but can not effectively separate the body error of the detected product from the introduction error of the detection link in the detection process; The application aims at solving the technical problems that how to realize effective decoupling of the internal measurement error of the detected product and the additional error of the verification link aiming at the impedance measurement function in the automatic verification process of the intelligent measurement product, thereby improving the verification accuracy and supporting the fault prediction and the health management on the premise of ensuring the verification beat. Disclosure of Invention In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present invention provide an automatic verification method and apparatus for intelligent measurement products, which implement effective decoupling of internal measurement errors of the product under test and additional errors of the verification link by constructing a verification sequence including multi-frequency point, multi-impedance branch and double-wire switching, and performing component calculation and cross-checking of wire differential, branch deviation and timing drift on the measurement result, so as to solve the problems set forth in the background art. In order to achieve the above purpose, the invention provides the following technical scheme that the automatic verification method of the intelligent measurement product comprises the following steps: s1, reading impedance items, frequency points, measuring ranges and branch nominal values of a detected product, and correspondingly switching wires of the same impedance branch twice according to combination of the frequency points and the impedance branch to generate a verification sequence and outputting excitation parameters, branch parameters and wiring parameters; s2, controlling the verification device to connect the impedance branch and switch the wiring mode according to the excitation parameter, the branch parameter and the wiring parameter, driving the detected product to execute impedance measurement, collecting the measured value, the measuring moment and the branch identification, and outputting the original data; S3, pairing the original data according to the same frequency point, the same impedance branch and different wiring modes, calculating the difference between two measured values to obtain a wiring difference value, taking an arithmetic average value according to the wiring difference value of the same frequency point to obtain a link error component, calculating a standar