CN116047393B - Electrical parameter calibration method, bidirectional linear calibration method and calibration system - Google Patents
Electrical parameter calibration method, bidirectional linear calibration method and calibration system Download PDFInfo
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Abstract
The application belongs to the technical field of electric parameter calibration, and particularly relates to an electric parameter calibration method, a bidirectional linear calibration method and a calibration system, which comprise the following steps: collecting data of the electrical parameters; performing transverse linear calibration and longitudinal linear calibration on the data to finish calibration; the calibration of the data in the transverse direction and the longitudinal direction is realized, the calibration calculation is not needed for each row of data, the calibration point positions of the traditional calibration are reduced, the calibration time is shortened, and the production efficiency is improved.
Description
Technical Field
The application belongs to the technical field of electric parameter calibration, and particularly relates to an electric parameter calibration method, a bidirectional linear calibration method and a calibration system.
Background
The traditional calibration method generally adopts two-point type linear calibration; the data is shown in fig. 1, the first row is a set voltage value, the first column is the frequency of the set voltage, the other data are all voltage values obtained by actual test under the corresponding voltage and corresponding frequency parameters, for example, the data represent that when the frequency is 45Hz, the set voltage is 150V, and the voltage value obtained by test is 130.5V; as can be seen from the data in the table, the actual measured voltage value has a certain access to the set voltage value, the error range required by the user is 1.5% +0.2V, and obviously the data need to be calibrated, and the data of each row is required to be in the error range with the data of the first row as a result of the calibration. The traditional two-point type straight line calibration needs to measure two points in each line of data, and the calibration of all data needs to measure a large number of points, so that a large amount of time is consumed, and efficiency and productivity are affected.
Therefore, based on the above technical problems, a new electrical parameter calibration method, a bidirectional linear calibration method and a calibration system are needed to be designed.
Disclosure of Invention
The application aims to provide an electric parameter calibration method, a bidirectional linear calibration method and a calibration system.
In order to solve the above technical problems, the present application provides an electrical parameter calibration method, including:
collecting data of the electrical parameters;
and performing transverse linear calibration and longitudinal linear calibration on the data to finish calibration.
Further, the method for acquiring the data of the electrical parameters comprises the following steps:
constructing a parameter list from the acquired data of the electrical parameters, wherein
The first row of the list is an electrical parameter Y, which is denoted Y 1 、…、Y n And the value of the electrical parameter Y varies linearly, i.e. Y 1 、…、Y n Is a set of linearly varying data;
the first column of the list is another electrical parameter X, which is denoted X 1 、…、X n And the other electrical parameter X takes a linear change, i.e. X 1 、…、X n Is a set of linearly varying data;
Y n at X n The value under the condition of (2) is D nn 。
Further, the method for performing the transverse alignment and the longitudinal alignment on the data to complete the alignment comprises the following steps:
two-point straight line calibration of transverse parameter Y, namely electric parameter Y;
constructing a two-point type linear calibration model of the electric parameter Y according to a linear calibration formula and parameter data in a parameter list:
y＝K*D+B；
K＝(Y n -Y 1 )/(D 1n -D 11 )；
B＝Y 1 -(Y n -Y 1 )*D 11 /(D 1n -D 11 ) Wherein
y is the result to be calculated;
Y n is the result of the calculation;
k is the slope of the calibration line;
d is test data which are required to be brought in and correspond to y at this time;
D 1n to correspond to Y n Knowing test data;
b is the intercept of the calibration line.
Further, the method for performing the transverse alignment and the longitudinal alignment on the data to complete the alignment further comprises the following steps:
a two-point straight line calibration of the longitudinal parameter X, i.e. the other electrical parameter X;
expanding another electrical parameter X by a factor of 10 to the power of m;
the longitudinal model is as follows:
y＝K*(D+X n *10 m )+B；
K＝(X n -X 1 )*10 m /[D n1 -D 11 +(X n -X 1 )*10 m ]；
B＝{1-(X n -X 1 )*10 m /[D n1 -D 11 +(X n -X 1 )*10 m ]}*(D 11 +X 1 *10 m )。
further, 10 m The larger the end result, the closer to the ideal value.
Further, the method for performing the transverse alignment and the longitudinal alignment on the data to complete the alignment further comprises the following steps:
y=k (d+x n *10 m ) Y value pair 10 in +B m Taking the remainder to obtain Y';
and then Y' is carried into D of y=K+D+B, and Y is the calculated result of final calibration.
In a second aspect, the present application also provides a bidirectional linear calibration method, including:
collecting data;
and performing transverse linear calibration and longitudinal linear calibration on the data to finish calibration.
Further, the above-described electrical parameter calibration method is suitable for calibration using a bi-directional linear calibration method.
Further, the method for collecting data comprises the following steps:
constructing a parameter list from the acquired data, wherein
The first behavioural parameter Y of the list, denoted Y 1 、…、Y n And the parameter Y is a linear variation, i.e. Y 1 、…、Y n Is a set of linearly varying data;
the first column of the list is the parameter X, which is denoted X 1 、…、X n And the parameter X is a linear variation, i.e. X 1 、…、X n Is a set of linearly varying data;
Y n at X n The value under the condition of (2) is D nn 。
In a third aspect, the present application also provides a calibration system employing the above electrical parameter calibration method, including:
the acquisition module acquires data of the electrical parameters;
and the calibration module is used for carrying out transverse linear calibration and longitudinal linear calibration on the data so as to finish the calibration.
The application has the beneficial effects that the application collects the data of the electrical parameters; performing transverse linear calibration and longitudinal linear calibration on the data to finish calibration; the calibration of the data in the transverse direction and the longitudinal direction is realized, the calibration calculation is not needed for each row of data, the calibration point positions of the traditional calibration are reduced, the calibration time is shortened, and the production efficiency is improved.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a data plot of voltage and frequency;
FIG. 2 is a graph of data after calibration of voltage and frequency;
fig. 3 is a flow chart of a method of calibrating electrical parameters.
FIG. 4 is a flow chart of an algorithm for bi-directional linear calibration;
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
As shown in fig. 1 to 4, the present embodiment 1 provides an algorithm for bidirectional linear calibration, including: collecting data; performing transverse linear calibration and longitudinal linear calibration on the data to finish calibration; the calibration of the data in the transverse direction and the longitudinal direction is realized, the calibration calculation is not needed for each row of data, the calibration point positions of the traditional calibration are reduced, the calibration time is shortened, and the production efficiency is improved.
As shown in fig. 1, voltage and frequency data are collected, and the conventional calibration method uses two-point type straight line calibration for transverse data, and the formula of straight line calibration is:
(y-Y 1 )/(Y 2 -Y 1 )＝(X-X 1 )/(X 2 -X 1 ) … … … … … equation 1;
y=k x+b … … … … … … … … … formula 2;
K＝(Y 2 -Y 1 )/(X 2 -X 1 )；
B＝Y 1 -(Y 2 -Y 1 )*X 1 /(X 2 -X 1 )；
the following is a calibration step:
line 1 in fig. 1 brings two voltage values (selected 130.5V and 175.1V) test data into equation 2 to obtain the linear equation:
K＝(200-150)/(175.1-130.5)＝1.121076；
B＝150-(200-150)*130.5/(175.1-130.5)＝3.699552；
y=1.121076 x+3.699552 … … … … … … … … … … … … linear equation 1;
line 2, … … (omitted later);
the last line, line 20, brings the two voltage values (selected from 151.5V and 202.8V) into equation 2 to obtain the linear equation:
K＝(200-150)/(202.8-151.5)＝0.974659；
B＝150-(200-150)*151.5/(202.8-151.5)＝2.339181；
y=0.974659 x+2.339181 … … … … … … … … … … … linear equation 20;
the total of 20 linear equations, each data of each row is brought into X of the corresponding row, so that final data of which the calibration is finished can be obtained;
line 1, line 1 data (130.5) is taken to linear equation 1, resulting in:
y=1.121076×130.5+3.699552, then y=150;
line 1, line 2 data (139.4) is taken to linear equation 1, resulting in:
y=1.121076 x 139.4+3.699552, then y=160.0 (159.98);
line 1, line 3 data … … (omitted later);
line 20, line 1 data (151.5) is taken to linear equation 20, resulting in:
y=0.974659×151.5+2.339181, then y=150;
line 20, line 2 data (161.8) is taken to linear equation 1, yielding:
y=0.974659 x 161.8+2.339181, then y=160.0 (159.98);
line 20, 3 data … …
By analogy, all measurement data in fig. 1 are brought into corresponding equations, the calculation result is shown in fig. 2, and as can be seen from fig. 2, the final calculation result meets 1.5% +0.2V which is required by us, but the number of calibrated points is too many, and the total number of straight-line equations is 20, each equation needs to measure two points, namely 40 points in total, in the testing process of us, the testing time of each point is 5 seconds, and the total time of 40 points is 200 seconds, namely 3 minutes and 20 seconds, which is a serious factor affecting productivity.
In this embodiment, the method for collecting data includes: constructing a parameter list from the acquired data, wherein a first behavior parameter Y of the list is denoted as Y 1 、…、Y n And the parameter Y is a linear variation, i.e. Y 1 、…、Y n Is a set of linearly varying data; the first column of the list is the parameter X, which is denoted X 1 、…、X n And the parameter X is a linear variation, i.e. X 1 、…、X n Is a set of linearly varying data; y is Y n At X n The value under the condition of (2) is D nn The method comprises the steps of carrying out a first treatment on the surface of the For example, the number of parameters Y is 5, and the number of parameters X is also 5, and the list is shown in table 1:
table 1: parameter list
| Parameter X\parameter Y | Y 1 | Y 2 | Y 3 | Y 4 | Y 5 |
| X 1 | D 11 | D 12 | D 13 | D 14 | D 15 |
| X 2 | D 21 | D 22 | D 23 | D 24 | D 25 |
| X 3 | D 31 | D 32 | D 33 | D 34 | D 35 |
| X 4 | D 41 | D 42 | D 43 | D 44 | D 45 |
| X 5 | D 51 | D 52 | D 53 | D 54 | D 55 |
Table 1 shows two parameter lists of Y and X, wherein the parameter X is a set of data with linear variation, namely X1, X2, X3, X4 and X5, the parameter Y is a set of data with linear variation, namely Y1, Y2, Y3, Y4 and Y5, and D11 is the value of Y1 under the condition of X1; the data is tabulated to facilitate statistics of the data and to facilitate lookup and processing of the data when calibrated.
In this embodiment, the method for performing the transverse alignment and the longitudinal alignment on the data to complete the alignment includes: two-point type straight line calibration of the transverse parameter Y; the first equation is a two-point linear calibration equation of the transverse parameter Y, and the data is brought into a formula 2 to obtain a formula 3; constructing a two-point type linear calibration model of the transverse parameter Y according to a linear calibration formula and parameter data in a parameter list:
y=k×d+b … … … … … … … … … … … … … … … formula 3;
K＝(Y n -Y 1 )/(D 1n -D 11 )；
B＝Y 1 -(Y n -Y 1 )*D 11 /(D 1n -D 11 ) Wherein
y is the result to be calculated; y is Y n Is the result of the calculation; k is the slope of the calibration line; d is test data which are required to be brought in and correspond to y at this time; d (D) 1n To correspond to Y n Knowing test data; b is the intercept of the calibration line.
In this embodiment, the method for performing the transverse alignment and the longitudinal alignment on the data to complete the alignment further includes: two-point straight line calibration of the longitudinal parameter X; the second equation is a two-point linear calibration conversion formula of the longitudinal parameter X, and the parameter X is enlarged by 10 times of m; for example m=4 (i.e. 10000 times); the longitudinal model is as follows:
y＝K*(D+X n *10 m ) +b … … … … … … equation 4;
K＝(X n -X 1 )*10 m /[D n1 -D 11 +(X n -X 1 )*10 m ]；
B＝{1-(X n -X 1 )*10 m /[D n1 -D 11 +(X n -X 1 )*10 m ]}*(D 11 +X 1 *10 m )。
in the present embodiment, 10 is set according to the specific values of X and Y m The larger the final result, the closer to the ideal value, facilitating a more accurate calibration.
In this embodiment, the method for performing the transverse alignment and the longitudinal alignment on the data to complete the alignment further includes: y=k (d+x n *10 m ) Y value pair 10 in +B m Taking the remainder to obtain Y'; then, Y' is carried into D of y=K+D+B, and Y is the calculation result of final calibration; and the calibration in the transverse direction and the longitudinal direction of the data is not needed to be performed on each row of data, so that the calibration point positions of the traditional calibration are reduced, the calibration time is shortened, and the production efficiency is improved.
Example 2
Embodiment 2 also provides an electrical parameter calibration method, including: collecting data of the electrical parameters; performing transverse linear calibration and longitudinal linear calibration on the data to finish calibration; and the voltage and frequency data are calibrated in the transverse direction and the longitudinal direction, calibration calculation is not needed for each row of data, the calibration points of the traditional calibration are reduced, the calibration time is shortened, and the production efficiency is improved.
In this embodiment, the algorithm for bidirectional linear calibration in embodiment 1 is adapted to collect data of electrical parameters; and performing transverse linear calibration and longitudinal linear calibration on the data to complete the calibration.
In this embodiment, the method for collecting data of electrical parameters includes: constructing a parameter list from the acquired data of the electrical parameters, wherein
The first row of the list is an electrical parameter Y (transverse parameter), which is denoted Y 1 、…、Y n And the value of the electrical parameter Y varies linearly, i.e. Y 1 、…、Y n Is a set of linearly varying data; the first column of the list is another electrical parameter X, which is denoted X 1 、…、X n And the other electrical parameter X takes a linear change, i.e. X 1 、…、X n Is a set of linearly varying data; y is Y n At X n The value under the condition of (2) is D nn 。
The specific electrical parameter may be the first behavior voltage parameter Y of the list (i.e. the electrical parameter Y in this embodiment means frequency), which is denoted as Y 1 、…、Y n And the value of the voltage parameter Y is changed linearly, i.e. Y 1 、…、Y n Is a set of linearly varying data;
the first column of the list is the frequency parameter X (i.e. another electrical parameter X in this embodiment means frequency), which is denoted X 1 、…、X n And the value of the frequency parameter X (longitudinal parameter) varies linearly, i.e. X 1 、…、X n Is a set of linearly varying data;
Y n at X n The value under the condition of (2) is D nn 。
After the parameter list of voltage and frequency is constructed, the calibration can be completed by using the method of performing the transverse alignment and the longitudinal alignment on the data in embodiment 1.
Specifically, the longitudinal data linearity from FIG. 1 can be divided into two linear intervals 45-70 (Hz), and 75-500 (Hz).
First, the calibration data of the first linear interval is calculated: test data (133.6,179.2) of selecting two calibration points for one line of data at 50Hz is brought into formula 3;
K＝(200-150)/(179.2-133.6)＝1.096491228；
B＝150-(200-150)*133.6/(179.2-133.6)＝3.50877193；
y=1.096491228 x+3.50877193 … … … … … … … … … linear equation 23;
test data (133.6,139.4) of the 150V column of data selecting two calibration points (we select the calibration points for both 50Hz and 65Hz frequencies according to linearity) is taken into equation 4, m=4:
K＝(65-50)*10 4 /[139.4-133.6+(65-50)*10 4 ]＝0.999961335；
B＝{1-(65-50)*10 4 /[139.4-133.6+(65
-50)*10 4 ]}*(133.6+50*10 4 )＝19.337751474；
y＝0.999961335*(D+X n *10 4 ) +19.337751474 … … … … … … … equation 24;
data in the range of 45-70Hz are respectively brought into a linear equation 24, and the obtained result is 10 pairs 4 Taking the remainder and then taking the remainder into a linear equation 23;
for example: line 1 data is taken to linear equation 24:
y＝0.999961335*(130.5+45*10 4 )+19.337751474；
y＝450132.433；
y= 450132.433 to 10 4 Taking the rest;
Y’＝132.433；
bringing Y' into X of linear equation 23;
y＝1.096491228*132.433+3.50877193；
y＝148.7；
line 2, line 1 data is taken into equation 24;
y＝0.999961335*(133.6+50*10 4 ) +19.337751474, then
y＝500133.6；
y= 500133.6 to 10 4 Taking the remainder
Y’＝133.6；
Bringing Y' into X of linear equation 23;
y=1.096491228×133.6+3.50877193, then
y＝150；
And by analogy, respectively bringing all the data in the 1 st linear interval into formula equations, obtaining the formula equations of the second interval according to an algorithm, and bringing all the data in the second interval into the formula equations to obtain the calculation result calibrated in the table 2:
table 2 is: calibrated data sheet
The total results are shown in Table 2, (the pale values are calibration points), and it can be found that all the data after calibration are also within the index range. However, compared with the traditional calibration mode, the calibration points are reduced from the original 40 to the current 6; the time required by sampling each calibration point position is 5 seconds, the sampling calibration of 6 point positions is completed only by 30 seconds, and compared with the previous 3 minutes and 20 seconds, the time is greatly shortened, and the production efficiency is greatly improved.
Example 3
On the basis of embodiment 2, this embodiment 3 also provides a calibration system employing the electrical parameter calibration method in embodiment 2, including: the acquisition module acquires data of the electrical parameters; and the calibration module is used for carrying out transverse linear calibration and longitudinal linear calibration on the data so as to finish the calibration.
In summary, the application collects the data of the electrical parameters; performing transverse linear calibration and longitudinal linear calibration on the data to finish calibration; the calibration of the data in the transverse direction and the longitudinal direction is realized, the calibration calculation is not needed for each row of data, the calibration point positions of the traditional calibration are reduced, the calibration time is shortened, and the production efficiency is improved.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
With the above-described preferred embodiments according to the present application as an illustration, the above-described descriptions can be used by persons skilled in the relevant art to make various changes and modifications without departing from the scope of the technical idea of the present application. The technical scope of the present application is not limited to the description, but must be determined according to the scope of claims.
Claims (3)
1. A method of calibrating an electrical parameter, comprising:
collecting data of the electrical parameters;
performing transverse linear calibration and longitudinal linear calibration on the data to finish calibration;
the method for acquiring the data of the electrical parameters comprises the following steps:
constructing a parameter list from the acquired data of the electrical parameters, wherein
The first row of the list is an electrical parameter Y, which is denoted Y 1 、…、Y n And the value of the electrical parameter Y varies linearly, i.e. Y 1 、…、Y n Is a set of linearly varying data;
the first column of the list is another electrical parameter X, which is denoted X 1 、…、X n And the other electrical parameter X takes a linear change, i.e. X 1 、…、X n Is a set of linearly varying data;
Y n at X n The value under the condition of (2) is D nn ；
The method for performing the transverse linear calibration and the longitudinal linear calibration on the data to complete the calibration comprises the following steps:
two-point straight line calibration of transverse parameter Y, namely electric parameter Y;
constructing a two-point type linear calibration model of the electric parameter Y according to a linear calibration formula and parameter data in a parameter list:
y＝K*D+B；
K＝(Y n -Y 1 )/(D 1n -D 11 )；
B＝Y 1 -(Y n -Y 1 )*D 11 /(D 1n -D 11 ) Wherein
y is the result to be calculated;
Y n is the result of the calculation;
k is the slope of the calibration line;
d is test data which are required to be brought in and correspond to y at this time;
D 1n to correspond to Y n Knowing test data;
b is the intercept of the calibration line;
the method for performing the transverse linear calibration and the longitudinal linear calibration on the data to complete the calibration further comprises the following steps:
a two-point straight line calibration of the longitudinal parameter X, i.e. the other electrical parameter X;
expanding another electrical parameter X by a factor of 10 to the power of m;
the longitudinal model is as follows:
y＝K*(D+X n *10 m )+B；
K＝(X n -X 1 )*10 m /[D n1 -D 11 +(X n -X 1 )*10 m ]；
B＝{1-(X n -X 1 )*10 m /[D n1 -D 11 +(X n -X 1 )*10 m ]}*(D 11 +X 1 *10 m )；
the method for performing the transverse linear calibration and the longitudinal linear calibration on the data to complete the calibration further comprises the following steps:
y=k (d+x n *10 m ) Y value pair 10 in +B m Taking the remainder to obtain Y';
and then Y' is carried into D of y=K+D+B, and Y is the calculated result of final calibration.
2. An electrical parameter calibration method as defined in claim 1, wherein,
10 m the larger the end result, the closer to the ideal value.
3. A calibration system employing the electrical parameter calibration method of claim 1, comprising:
the acquisition module acquires data of the electrical parameters;
and the calibration module is used for carrying out transverse linear calibration and longitudinal linear calibration on the data so as to finish the calibration.
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