CN106708783A - Calculation method of linear fitting function and device - Google Patents
Calculation method of linear fitting function and device Download PDFInfo
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- CN106708783A CN106708783A CN201611243369.0A CN201611243369A CN106708783A CN 106708783 A CN106708783 A CN 106708783A CN 201611243369 A CN201611243369 A CN 201611243369A CN 106708783 A CN106708783 A CN 106708783A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
Abstract
The invention discloses a calculation method of a linear fitting function; the method includes steps of obtaining original data of a curve to be treated, and establishing a corresponding coordinate system according to the acquired original data; sampling according to original data and acquiring coordinate data of multiple sampling points; calculating according to the coordinate data of two adjacent sampling points, and acquiring a linear function between every two adjacent sampling points, using the linear function between every two adjacent sampling points as a linear fitting function of the curve. The invention further discloses a calculating device of the linear fitting function. The method and device are simple in calculating process, and workers need not to select approximation function, thus the operation process can be simplified and the method is convenient to control.
Description
Technical field
The present invention relates to automatic control technology field, more particularly to a kind of linear fit function computational methods and device.
Background technology
Automatically control in practice, due to often cannot between gather control variables data under each state, therefore
Corresponding calculating is usually done according to the argument data for easily collecting and is converted, to draw corresponding control variables data indirectly.But
It is often non-linear relation between independent variable and control variables, its graph of a relation shows as a curve.The PWM of such as direct current generator
Speed governing, will test this moment by the generating voltage V of testing of electric motors at a last moment for the shut-off time slot of PWM cycle
Motor rotating speed Sp, and relation is exactly a non-linear relation between V and Sp, and its functional image shows as a curve；Again
For example in gas shield welding connects, when voltage constant, the timing of welding wire one, wire feed rate V be with the relation of welding current I it is nonlinear,
The welding current I at this moment is determined by wire feed rate V, and relation is exactly a non-linear relation between V and I, its letter
Number image appearance is a curve.
And the principle and application method of existing construction of function and curve fitting software are all more complicated, and need user certainly
The type of oneself selection approximating function, this is for without professional mathematical knowledge and the staff for not learning data analysis
It is unfavorable for operation.
The content of the invention
Computational methods and device it is a primary object of the present invention to propose a kind of linear fit function, it is intended to realize simplifying
Non-linear relation is converted to the process of linear relationship, to facilitate control.
To achieve the above object, the present invention provides a kind of computational methods of linear fit function, the side of the curve matching
Method is comprised the following steps：
The initial data of pending curve is obtained, and corresponding coordinate system is set up according to the initial data for getting；
Sampled according to the initial data, got the coordinate data of multiple sampled points；
Data according to adjacent two sampled point are calculated, and get the linear function between each adjacent two sampled point, and
Using the linear function between each adjacent two sampled point as the curve linear fit function.
Wherein, it is described to be sampled according to the initial data, wrap the step of get the coordinate data of multiple sampled points
Include：
Differential is carried out to the initial data；
Differential value according to getting is sampled, and gets the coordinate of multiple sampled points in the original data definition domain
Data.
Wherein, the differential value that the basis gets is sampled, and is got multiple in the original data definition domain and is adopted
The step of coordinate data of sampling point, includes：
When the differential value for getting is constant, two ends of the differential value corresponding to constant are chosen as sampled point；
When the differential value for getting is not equal to constant, it is determined that the absolute value of the differential value for getting and the first preset value
Difference；
The sampled point of the first predetermined number is chosen in preset range of the difference less than the second preset value, in the difference
Value outside the preset range of the second preset value less than choosing the sampled point of the second predetermined number, wherein the first predetermined number is less than the
Two predetermined numbers.
Wherein, the differential that the basis gets is sampled, and gets multiple samplings in the original data definition domain
The step of coordinate data of point, also includes：
Differential value according to getting determines sampled point；
Sampled point is measured using fine measuring instrument, gets the coordinate data of sampled point.
Wherein, the data according to adjacent two sampled point are calculated, and get the line between each adjacent two sampled point
Property function, and using the linear function between each adjacent two sampled point as the linear fit function of the curve the step of include：
Linear function y between each adjacent two sampled point is calculated using equation below：
Y=kix+bi,
Wherein, (xi,yi) and (xi+1,yi+1) be adjacent two sampled point coordinate, ki=(yi-yi+1)/(xi-xi+1), bi=
yi-kixi。
Additionally, to achieve the above object, the present invention also provides a kind of computing device of linear fit function, the Linear Quasi
The computing device for closing function includes：
Acquisition module, the initial data for obtaining pending curve, and correspondence is set up according to the initial data for getting
Coordinate system；
Sampling module, for being sampled according to the initial data, gets the coordinate data of multiple sampled points；
Computing module, for being calculated according to the coordinate data of adjacent two sampled point, gets each adjacent two sampled point
Between linear function, and using the linear function between each adjacent two sampled point as the curve linear fit function.
Wherein, the sampling module includes：
Differentiation element, for carrying out differential to the initial data；
Sampling unit, for being sampled according to the differential value for getting, gets many in the original data definition domain
The coordinate data of individual sampled point.
Wherein, the sampling unit is additionally operable to, when the differential value for getting is constant, choose differential value right for constant
The two ends answered are used as sampled point；When the differential value for getting is not equal to constant, it is determined that the absolute value of the differential value for getting with
The difference of the first preset value；The sampling of the first predetermined number is chosen in preset range of the difference less than the second preset value
Point, chooses the sampled point of the second predetermined number, wherein first is pre- outside preset range of the difference less than the second preset value
If quantity is less than the second predetermined number.
Wherein, the sampling unit includes：
Determination subelement, for determining sampled point according to the differential value for getting；
Measurement subelement, for being measured to sampled point using fine measuring instrument, gets the number of coordinates of sampled point
According to.
Wherein, the computing module is additionally operable to：Linear function between each adjacent two sampled point is calculated using equation below
y：
Y=kix+bi,
Wherein, (xi,yi) and (xi+1,yi+1) be adjacent two sampled point coordinate, ki=(yi-yi+1)/(xi-xi+1), bi=
yi-kixi。
The present invention sets up corresponding seat by obtaining the initial data of pending curve according to the initial data for getting
Mark system；Sampled according to the initial data, got the coordinate data of multiple sampled points；According to the number of adjacent two sampled point
According to being calculated, the linear function between each adjacent two sampled point is got, and by the linear letter between each adjacent two sampled point
Count as the linear fit function of the curve.Through the above way, the present invention is sampled in the curve data for getting,
Multiple sampled points are got, the linear function between two neighboring sampled point is then calculated, calculating process is simple, without existing work
Make personnel selection approximating function, simplify operating process, convenient control.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the computational methods first embodiment of linear fit function of the present invention；
Fig. 2 is the result of calculation display schematic diagram in the embodiment of the present invention；
Fig. 3 gets the number of coordinates of multiple sampled points to be sampled according to the initial data in the embodiment of the present invention
According to the refinement schematic flow sheet of step；
Fig. 4 is the high-level schematic functional block diagram of the computing device first embodiment of linear fit function of the present invention；
Fig. 5 is the refinement high-level schematic functional block diagram of sampling module in the embodiment of the present invention.
The realization of the object of the invention, functional characteristics and advantage will be described further referring to the drawings in conjunction with the embodiments.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention provides a kind of computational methods of linear fit function.
Reference picture 1, Fig. 1 is the schematic flow sheet of the computational methods first embodiment of linear fit function of the present invention.
In the present embodiment, the computational methods of the linear fit function are comprised the following steps：
Step S10, obtains the initial data of pending curve, and sets up corresponding coordinate according to the initial data for getting
System；
Step S20, is sampled according to the initial data, gets the coordinate data of multiple sampled points；
As a kind of embodiment, the initial data of pending curve is first got in the present embodiment, according to the original for getting
Beginning data set up corresponding coordinate system, specifically, if illustrating pending curve during each only two value of point in initial data
It is two-dimensional curve；If each point there are multiple values in initial data, illustrate that pending curve is many dimension curves.Treated determining
Treatment curve is two-dimensional curve, sets up rectangular coordinate system, is determining pending curve for many dimension curves, sets up multidimensional coordinate
System, such as set up three-dimensional coordinate system.In specific implementation, when the type of pending curve is known, it is also possible to first set up and sit
Mark system, then the initial data for obtaining pending curve.
After the initial data for getting, the initial data in coordinate system is sampled, specifically, can be original
Sampled in data, for the accuracy of result of calculation in specific implementation, it is to avoid using the mechanical data for collecting in itself not
It is actual value, it is also possible to sampled point is determined according to initial data, is then measured in sampled point using fine measuring instrument, will
The data measured in sampled point using fine measuring instrument as sampled data, wherein, the quantity of sampled point is more than 2.
Step S30, the coordinate data according to adjacent two sampled point is calculated, and is got between each adjacent two sampled point
Linear function, and using the linear function between each adjacent two sampled point as the curve linear fit function.
After sampled data is got, the data according to two neighboring sampled point are calculated, and specifically, choose first
Calculated with second sampled point, then calculated using second and the 3rd sampled point, the like, calculate each phase
Linear function between adjacent two sampled points, after all of linear function is calculated, by the line between each adjacent two sampled point
Property function as the curve linear fit function.
Specifically, calculating process can include：Assuming that the data of the sampled point for getting include：X={ x1,x2,…xn, Y
={ y1,y2,…yn, wherein x1>x2,…>xn, the computing formula for using is then y=kix+bi, wherein, (xi,yi) and (xi+1,
yi+1) be adjacent two sampled point coordinate, ki=(yi-yi+1)/(xi-xi+1), bi=yi-kixi。
As shown in Fig. 2 it is in a coordinate system the line segment of I1 to get function according to first and second sampled point calculating,
Second and the 3rd line segment of sampled point is then I2.After all of line segment is obtained, the function of all line segments is then pending
Curve approaches line, and the line segment of the combination of each line segment is then the fit line of pending curve.
After linear function is got, then accurately Automated condtrol can be carried out according to linear function, so as to avoid machine
Taken in tool when being not actual value, cause to control puzzlement.
In present invention can apply to multiple systems, such as：
Can apply the present invention to during gas shield welding connects, voltage constant, welding wire is certain, wire feed rate V and welding current I's
Relation,
Representative sample value ordered series of numbers V={ v1, v2 ... vn }, and v1 are first extracted in the range of wire feed rate>v2,…>
vn；By ordered series of numbers V, ordered series of numbers I={ i1, i2 ... in } is accurately measured with the method for test, calculate ordered series of numbers K and B.
Or in can applying the present invention to 6 axle robots：6 axle robot ambulation space curve L, can be by teaching
Mode up-samples n point in space curve L, obtains the position sequence P1 { p11, p12 ... p1n } of 6 axle robot, 6 motors, P2
{p21,p22,…p2n},…P6{p61,p62,…p6n}.Sequence K1, K2 are obtained by sequence P ... K6 and B1, B2 ... B6,
N-1 sections of straight line P1P2, P2P3 ... Pn-1Pn is obtained, as long as n is sufficiently large, it is possible to use n-1 sections of straight line P1P2, P2P3 ... Pn-
1Pn approximating curves L.
The present invention sets up corresponding seat by obtaining the initial data of pending curve according to the initial data for getting
Mark system；Sampled according to the initial data, got the coordinate data of multiple sampled points；According to the number of adjacent two sampled point
According to being calculated, the linear function between each adjacent two sampled point is got, and by the linear letter between each adjacent two sampled point
Count as the linear fit function of the curve.Through the above way, the present invention is sampled in the curve data for getting,
Multiple sampled points are got, the linear function between two neighboring sampled point is then calculated, calculating process is simple, without existing work
Make personnel selection approximating function, simplify operating process, convenient control.
Reference picture 3, Fig. 3 gets multiple sampled points to be sampled according to the initial data in the embodiment of the present invention
Coordinate data step refinement schematic flow sheet.
Based on the embodiment shown in above-mentioned Fig. 1, step S20 may comprise steps of：
Step S21, differential is carried out to the initial data；
Step S22, is sampled according to the differential value for getting, and gets multiple samplings in the original data definition domain
The coordinate data of point.
It is right when initial data is got in the present embodiment in order to determine sampled point, it is ensured that the correctness of test result
Initial data carries out differential, is then sampled according to the differential value for getting, and gets the coordinate data of multiple sampled points.
Specifically, step S22 can include：
Step S221, sampled point is determined according to the differential value for getting；
Step S222, is measured using fine measuring instrument to sampled point, gets the coordinate data of sampled point.
When differential value is got, sampled point is determined according to the differential value for getting, using fine measuring instrument to sampling
Point is measured, and gets the coordinate data of sampled point.It is to determine the change of initial data that differential is carried out to initial data
Degree, is separated by closely, being separated by the sampled point for changing gentle place selection in the sampled point for changing violent place selection
Can be with distant, specifically, when the differential value for getting is constant, it is two ends corresponding to constant as adopting to choose differential value
Sampling point；When the differential value for getting is not equal to constant, it is determined that the difference of the absolute value of the differential value for getting and the first preset value
Value；The sampled point of the first predetermined number is chosen in preset range of the difference less than the second preset value, it is small in the difference
The sampled point of the second predetermined number is chosen outside the preset range of the second preset value, wherein the first predetermined number is pre- less than second
If quantity.Such as, the first preset value is 0 in the present embodiment, is taken when differential value is constant, and differential value is corresponding to constant
Two ends as sampled point, x8 and x9 in such as Fig. 2；When the differential value for getting is not equal to constant, differential value and 0 difference are determined
Value, difference is bigger, then illustrate that the absolute value of the slope of correspondence position is bigger, and the sampled point of selection is also more；Difference is smaller, then say
The slope absolute value of bright correspondence position is smaller, and now curve ratio is shallower, and sampled point value is smaller.First preset value value is 0
Position be located at point of inflexion on a curve at.The first preset value can also take other values in specific implementation.
The present invention further provides a kind of computing device of linear fit function.
Reference picture 4, Fig. 4 is the high-level schematic functional block diagram of the computing device first embodiment of linear fit function of the present invention.
In the present embodiment, the computing device of the linear fit function includes：
The computing device of the linear fit function includes：
Acquisition module 10, the initial data for obtaining pending curve, and set up right according to the initial data for getting
The coordinate system answered；
Sampling module 20, for being sampled according to the initial data, gets the coordinate data of multiple sampled points；
As a kind of embodiment, the initial data of pending curve is first got in the present embodiment, according to the original for getting
Beginning data set up corresponding coordinate system, specifically, if illustrating pending curve during each only two value of point in initial data
It is two-dimensional curve；If each point there are multiple values in initial data, illustrate that pending curve is many dimension curves.Treated determining
Treatment curve is two-dimensional curve, sets up rectangular coordinate system, is determining pending curve for many dimension curves, sets up multidimensional coordinate
System, such as set up three-dimensional coordinate system.In specific implementation, when the type of pending curve is known, it is also possible to first set up and sit
Mark system, then the initial data for obtaining pending curve.
After the initial data for getting, the initial data in coordinate system is sampled, specifically, can be original
Sampled in data, for the accuracy of result of calculation in specific implementation, it is to avoid using the mechanical data for collecting in itself not
It is actual value, it is also possible to sampled point is determined according to initial data, is then measured in sampled point using fine measuring instrument, will
The data measured in sampled point using fine measuring instrument as sampled data, wherein, the quantity of sampled point is more than 2.
Computing module 30, for being calculated according to the coordinate data of adjacent two sampled point, gets each adjacent two sampling
Point between linear function, and using the linear function between each adjacent two sampled point as the curve linear fit function.
After sampled data is got, the data according to two neighboring sampled point are calculated, and specifically, choose first
Calculated with second sampled point, then calculated using second and the 3rd sampled point, the like, calculate each phase
Linear function between adjacent two sampled points, after all of linear function is calculated, by the line between each adjacent two sampled point
Property function as the curve linear fit function.
Specifically, it is assumed that the data of the sampled point for getting include：X={ x1,x2,…xn, Y={ y1,y2,…yn, its
Middle x1>x2,…>xn, computing module 30 is used for：Linear function y between each adjacent two sampled point is calculated using equation below：
Y=kix+bi,
Wherein, (xi,yi) and (xi+1,yi+1) be adjacent two sampled point coordinate, ki=(yi-yi+1)/(xi-xi+1), bi=
yi-kixi。
As shown in Fig. 2 it is in a coordinate system the line segment of I1 to get function according to first and second sampled point calculating,
Second and the 3rd line segment of sampled point is then I2.After all of line segment is obtained, the function of all line segments is then pending
Curve approaches line, and the line segment of the combination of each line segment is then the fit line of pending curve.
After linear function is got, then accurately Automated condtrol can be carried out according to linear function, so as to avoid machine
Taken in tool when being not actual value, cause to control puzzlement.
In present invention can apply to multiple systems, such as：
Can apply the present invention to during gas shield welding connects, voltage constant, welding wire is certain, wire feed rate V and welding current I's
Relation,
Representative sample value ordered series of numbers V={ v1, v2 ... vn }, and v1 are first extracted in the range of wire feed rate>v2,…>
vn；By ordered series of numbers V, ordered series of numbers I={ i1, i2 ... in } is accurately measured with the method for test, calculate ordered series of numbers K and B.
Or in can applying the present invention to 6 axle robots：6 axle robot ambulation space curve L, can be by teaching
Mode up-samples n point in space curve L, obtains the position sequence P1 { p11, p12 ... p1n } of 6 axle robot, 6 motors, P2
{p21,p22,…p2n},…P6{p61,p62,…p6n}.Sequence K1, K2 are obtained by sequence P ... K6 and B1, B2 ... B6,
N-1 sections of straight line P1P2, P2P3 ... Pn-1Pn is obtained, as long as n is sufficiently large, it is possible to use n-1 sections of straight line P1P2, P2P3 ... Pn-
1Pn approximating curves L.
The present invention sets up corresponding seat by obtaining the initial data of pending curve according to the initial data for getting
Mark system；Sampled according to the initial data, got the coordinate data of multiple sampled points；According to the number of adjacent two sampled point
According to being calculated, the linear function between each adjacent two sampled point is got, and by the linear letter between each adjacent two sampled point
Count as the linear fit function of the curve.Through the above way, the present invention is sampled in the curve data for getting,
Multiple sampled points are got, the linear function between two neighboring sampled point is then calculated, calculating process is simple, without existing work
Make personnel selection approximating function, simplify operating process, convenient control.
Refering to Fig. 5, Fig. 5 is the refinement high-level schematic functional block diagram of sampling module in the embodiment of the present invention
Based on the embodiment shown in above-mentioned Fig. 4, sampling module 20 includes：
Differentiation element 21, for carrying out differential to the initial data；
Sampling unit 22, for being sampled according to the differential value for getting, gets in the original data definition domain
The coordinate data of multiple sampled points.
It is right when initial data is got in the present embodiment in order to determine sampled point, it is ensured that the correctness of test result
Initial data carries out differential, is then sampled according to the differential value for getting, and gets the coordinate data of multiple sampled points.
The sampling unit 22 includes：
Determination subelement 221, for determining sampled point according to the differential value for getting；
Measurement subelement 222, for being measured to sampled point using fine measuring instrument, gets the coordinate of sampled point
Data.
When differential value is got, sampled point is determined according to the differential value for getting, using fine measuring instrument to sampling
Point is measured, and gets the coordinate data of sampled point.It is to determine the change of initial data that differential is carried out to initial data
Degree, is separated by closely, being separated by the sampled point for changing gentle place selection in the sampled point for changing violent place selection
Can be with distant, specifically, sampling unit 22 is additionally operable to when the differential value for getting is constant, and it to choose by constant differential value
Corresponding two ends are used as sampled point；When the differential value for getting is not equal to constant, it is determined that the absolute value of the differential value for getting
With the difference of the first preset value；The sampling of the first predetermined number is chosen in preset range of the difference less than the second preset value
Point, chooses the sampled point of the second predetermined number, wherein first is pre- outside preset range of the difference less than the second preset value
If quantity is less than the second predetermined number.Such as, the first preset value is 0 in the present embodiment, is taken when differential value is constant, differential
It is worth the two ends corresponding to constant as sampled point, x8 and x9 in such as Fig. 2；When the differential value for getting is not equal to constant, really
Determine differential value and 0 difference, difference is bigger, then illustrate that the absolute value of the slope of correspondence position is bigger, the sampled point of selection is also got over
It is many；Difference is smaller, then illustrate that the slope absolute value of correspondence position is smaller, and now curve ratio is shallower, and sampled point value is smaller.The
One preset value value be 0 position be located at point of inflexion on a curve at.The first preset value can also take other values in specific implementation.
The preferred embodiments of the present invention are these are only, the scope of the claims of the invention is not thereby limited, it is every to utilize this hair
Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or between or be used in other related skills indirectly
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of computational methods of linear fit function, it is characterised in that the computational methods of the linear fit function include with
Lower step：
The initial data of pending curve is obtained, and corresponding coordinate system is set up according to the initial data for getting；
Sampled according to the initial data, got the coordinate data of multiple sampled points；
Coordinate data according to adjacent two sampled point is calculated, and gets the linear function between each adjacent two sampled point, and
Using the linear function between each adjacent two sampled point as the curve linear fit function.
2. computational methods of linear fit function as claimed in claim 1, it is characterised in that described according to the initial data
Sampled, included the step of the coordinate data for getting multiple sampled points：
Differential is carried out to the initial data；
Differential value according to getting is sampled, and gets the number of coordinates of multiple sampled points in the original data definition domain
According to.
3. computational methods of linear fit function as claimed in claim 2, it is characterised in that the differential that the basis gets
Value is sampled, and is included the step of the coordinate data for getting in the original data definition domain multiple sampled points：
When the differential value for getting is constant, two ends of the differential value corresponding to constant are chosen as sampled point；
When the differential value for getting is not equal to constant, it is determined that the difference of the absolute value of the differential value for getting and the first preset value
Value；
The sampled point of the first predetermined number is chosen in preset range of the difference less than the second preset value, it is small in the difference
The sampled point of the second predetermined number is chosen outside the preset range of the second preset value, wherein the first predetermined number is pre- less than second
If quantity.
4. computational methods of linear fit function as claimed in claim 2, it is characterised in that the differential that the basis gets
Sampled, also included the step of the coordinate data for getting in the original data definition domain multiple sampled points：
Differential value according to getting determines sampled point；
Sampled point is measured using fine measuring instrument, gets the coordinate data of sampled point.
5. computational methods of the linear fit function as any one of claim 1-4, it is characterised in that described according to phase
The coordinate data of adjacent two sampled points is calculated, and gets the linear function between each adjacent two sampled point, and by each adjacent two
Linear function between sampled point as the curve linear fit function the step of include：
Linear function y between each adjacent two sampled point is calculated using equation below：
Y=kix+bi,
Wherein, (xi,yi) and (xi+1,yi+1) be adjacent two sampled point coordinate, ki=(yi-yi+1)/(xi-xi+1), bi=yi-
kixi。
6. a kind of computing device of linear fit function, it is characterised in that the computing device of the linear fit function includes：
Acquisition module, the initial data for obtaining pending curve, and corresponding seat is set up according to the initial data for getting
Mark system；
Sampling module, for being sampled according to the initial data, gets the coordinate data of multiple sampled points；
Computing module, for being calculated according to the coordinate data of adjacent two sampled point, gets between each adjacent two sampled point
Linear function, and using the linear function between each adjacent two sampled point as the curve linear fit function.
7. the computing device of linear fit function as claimed in claim 6, it is characterised in that the sampling module includes：
Differentiation element, for carrying out differential to the initial data；
Sampling unit, for being sampled according to the differential value for getting, gets multiple in the original data definition domain and adopts
The coordinate data of sampling point.
8. the computing device of linear fit function as claimed in claim 7, it is characterised in that the sampling unit is additionally operable to
When the differential value for getting is constant, two ends of the differential value corresponding to constant are chosen as sampled point；In the differential for getting
When value is not equal to constant, it is determined that the difference of the absolute value of the differential value for getting and the first preset value；In the difference less than the
The sampled point of the first predetermined number is chosen in the preset range of two preset values, in default model of the difference less than the second preset value
The sampled point of the second predetermined number is chosen outside enclosing, wherein the first predetermined number is less than the second predetermined number.
9. the computing device of linear fit function as claimed in claim 7, it is characterised in that the sampling unit includes：
Determination subelement, for determining sampled point according to the differential value for getting；
Measurement subelement, for being measured to sampled point using fine measuring instrument, gets the coordinate data of sampled point.
10. the computing device of the linear fit function as any one of claim 6-9, it is characterised in that the calculating
Module is additionally operable to：Linear function y between each adjacent two sampled point is calculated using equation below：
Y=kix+bi,
Wherein, (xi,yi) and (xi+1,yi+1) be adjacent two sampled point coordinate, ki=(yi-yi+1)/(xi-xi+1), bi=yi-
kixi。
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110082319A (en) * | 2019-04-22 | 2019-08-02 | 深圳市锦瑞生物科技有限公司 | Calibration data modification method and its electronic equipment |
| US11685326B2 (en) | 2021-11-24 | 2023-06-27 | International Business Machines Corporation | Vehicle mass measurement for automated braking |
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2016
- 2016-12-28 CN CN201611243369.0A patent/CN106708783A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110082319A (en) * | 2019-04-22 | 2019-08-02 | 深圳市锦瑞生物科技有限公司 | Calibration data modification method and its electronic equipment |
| CN110082319B (en) * | 2019-04-22 | 2022-03-11 | 深圳市锦瑞生物科技股份有限公司 | Calibration data correction method and electronic device thereof |
| US11685326B2 (en) | 2021-11-24 | 2023-06-27 | International Business Machines Corporation | Vehicle mass measurement for automated braking |
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