CN106840247A - A kind of linear sensor bearing calibration and device - Google Patents
A kind of linear sensor bearing calibration and device Download PDFInfo
- Publication number
- CN106840247A CN106840247A CN201710239605.XA CN201710239605A CN106840247A CN 106840247 A CN106840247 A CN 106840247A CN 201710239605 A CN201710239605 A CN 201710239605A CN 106840247 A CN106840247 A CN 106840247A
- Authority
- CN
- China
- Prior art keywords
- data
- correction
- real
- thing
- canonical measure
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D18/00—Testing or calibrating apparatus or arrangements provided for in groups G01D1/00 - G01D15/00
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Indication And Recording Devices For Special Purposes And Tariff Metering Devices (AREA)
Abstract
The invention discloses a kind of linear sensor bearing calibration and device.The method includes：At least two canonical measure things are measured using sensor, to obtain corresponding correcting measuring data；The real data of each canonical measure thing and the corresponding relation of correcting measuring data are set up, it is respectively that two neighboring correcting measuring data is interval as a correction；Thing to be measured is measured by the sensor, to obtain corresponding real-time measuring data, and determines that the correction that the real-time measuring data falls into is interval；The linear relationship of real data according to the correcting measuring data in the correction interval for falling into and corresponding thereto, the real data of thing to be measured is calculated with reference to the real-time measuring data.The present invention designs multisection type bearing calibration according to sensor itself linear characteristic, greatly improves the precision of sensor calibration process, improves the measuring accuracy and stability of measuring system.
Description
Technical field
The present embodiments relate to electronic device alignment technique field, more particularly to a kind of linear sensor bearing calibration and
Device.
Background technology
It is frequently necessary in measuring system using linear sensing device, linear transducer element such as Hall sensor, magnetic resistance is passed
Sensor etc., although these linear sensing devices in theory be preferable linear relationship, during practical application due to
Influenceed to cause actual application and nonideal linear by electric and structure, thus resulted in the precision of measuring system
Reduce.
This kind of phenomenon is not further processed in the prior art, the certainty of measurement of measuring system and poor stability
Problems demand is solved.
The content of the invention
The present invention provides a kind of linear sensor bearing calibration and device, to improve sensor calibration Process Precision, so that
Improve the degree of accuracy of measuring system.
In a first aspect, the embodiment of the invention provides a kind of linear sensor bearing calibration, the method includes：
At least two canonical measure things are measured using sensor, to obtain corresponding correcting measuring data；
The real data of each canonical measure thing and the corresponding relation of correcting measuring data are set up, respectively by two neighboring correction
Measurement data is interval as a correction；
Thing to be measured is measured by the sensor, to obtain corresponding real-time measuring data, and is determined described
The correction that real-time measuring data falls into is interval；
The linear pass of real data according to the correcting measuring data in the correction interval for falling into and corresponding thereto
System, the real data of thing to be measured is calculated with reference to the real-time measuring data.
Preferably, at least two canonical measure things are measured using sensor, to obtain corresponding correction measurement number
According to including：
To each the canonical measure thing at least two canonical measure things, using sensor measurement at least twice, with
Obtain at least two corresponding standby measurement data of described each canonical measure thing；
Average is calculated to described at least two standby measurement data, it is each self-corresponding to obtain described each canonical measure thing
Correcting measuring data.
Preferably, at least two canonical measure things are measured using sensor, to obtain corresponding correction measurement number
According to before, also include：
Initial value to the sensor is gathered at least twice, to obtain initial value average.
Preferably, at least two canonical measure things are measured using sensor, to obtain corresponding correction measurement number
According to including：
To each the canonical measure thing at least two canonical measure things, at least two are measured using the sensor
It is secondary, to obtain the corresponding at least two standby measurement data of described each canonical measure thing；
The difference of described at least two standby measurement data and initial value average is calculated respectively, to obtain described each standard
The corresponding at least two standby step data of measurement thing；
Average is calculated to described at least two standby step data, to obtain each self-corresponding correction of each canonical measure thing
Measurement data.
Preferably, the real data of each canonical measure thing and the corresponding relation of correcting measuring data are set up, respectively will be adjacent
After two correcting measuring datas are as a correction interval, also include, by the real data of each canonical measure thing and school
The corresponding relation of positive measurement data is recorded as correction parameter table.
Preferably, according to the correcting measuring data in the correction interval for falling into and real data corresponding thereto
Linear relationship, the real data for calculating thing to be measured with reference to the real-time measuring data includes：
Transferred from correction parameter table and the interval corresponding correction parameter of the correction for falling into；
The linear relationship of real data according to the correcting measuring data in the correction interval for falling into and corresponding thereto, knot
Close the correction parameter and real-time measuring data calculates the real data of thing to be measured.Second aspect, the embodiment of the present invention is also carried
Having supplied a kind of linear sensor means for correcting, the device includes：
Correcting measuring data acquisition module, for being measured at least two canonical measure things using sensor, to obtain
Take corresponding correcting measuring data；
The interval division module of correction, the real data pass corresponding with correcting measuring data for setting up each canonical measure thing
System, it is respectively that two neighboring correcting measuring data is interval as a correction；
Correction interval determination module, for being measured to thing to be measured by the sensor, to obtain corresponding reality
When measurement data, and determine that the correction that the real-time measuring data falls into is interval；
Correction module, the correcting measuring data in interval and reality corresponding thereto are corrected for what is fallen into according to
The linear relationship of data, the real data of thing to be measured is calculated with reference to the real-time measuring data.
Preferably, the correcting measuring data acquisition module includes：
Standby measurement data acquiring unit, for each the canonical measure thing at least two canonical measure things, using
The sensor is measured at least twice, at least two standby measurement data corresponding to obtain described each canonical measure thing；
Correcting measuring data computing unit, for calculating average to described at least two standby measurement data, to obtain
State each self-corresponding correcting measuring data of each canonical measure thing.
Preferably, described device also includes initial value average acquisition module, for the initial value collection to the sensor
At least twice, obtaining initial value average；
The correcting measuring data acquisition module includes：
Standby measurement data acquiring unit, for each the canonical measure thing at least two canonical measure things,
Measured at least twice using sensor, to obtain the corresponding at least two standby measurement data of described each canonical measure thing；
Standby step Data Computation Unit, for calculating described at least two standby measurement data and initial value average respectively
Difference, to obtain the corresponding at least two standby step data of each canonical measure thing；
Correcting measuring data computing unit, it is every to obtain for calculating average to described at least two standby step data
Individual each self-corresponding correcting measuring data of canonical measure thing.
Preferably, described device also includes correction parameter logging modle, for by the actual number of each canonical measure thing
Recorded as correction parameter table according to the corresponding relation with correcting measuring data；
The correction module includes：
Correction parameter transfers unit, for being transferred from correction parameter table and the interval corresponding correction of the correction for falling into
Parameter；
Correction calculation unit, for reality according to the correcting measuring data in the correction interval for falling into and corresponding thereto
The linear relationship of data, the real data of thing to be measured is calculated with reference to the correction parameter and real-time measuring data.
The present invention is measured by using sensor at least two canonical measure things, to obtain corresponding correction measurement
Data；The real data of each canonical measure thing and the corresponding relation of correcting measuring data are set up, respectively two neighboring correction is surveyed
Amount data are interval as a correction；Thing to be measured is measured by the sensor, to obtain corresponding real-time measurement
Data, and determine that the correction that the real-time measuring data falls into is interval；According to the correction measurement in the correction interval for falling into
The linear relationship of data and real data corresponding thereto, the actual number of thing to be measured is calculated with reference to the real-time measuring data
According to.So as to design multisection type bearing calibration according to sensor itself linear characteristic, the essence of sensor calibration process is greatly improved
Degree, improves the measuring accuracy and stability of measuring system.
Brief description of the drawings
Fig. 1 is a kind of linear sensor bearing calibration flow chart in the embodiment of the present invention one；
Fig. 2 is a kind of linear sensor bearing calibration flow chart in the embodiment of the present invention two；
Fig. 3 is a kind of linear sensor bearing calibration flow chart in the embodiment of the present invention three；
Fig. 4 is a kind of linear sensor means for correcting structural representation in the embodiment of the present invention four；
Fig. 5 is a kind of linear sensor means for correcting structural representation in the embodiment of the present invention five.
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 limitation of the invention.It also should be noted that, in order to just
Part rather than entire infrastructure related to the present invention is illustrate only in description, accompanying drawing.
Embodiment one
Fig. 1 is a kind of flow chart of linear sensor bearing calibration that the embodiment of the present invention one is provided, and the present embodiment can be fitted
For the situation that linear transducer needs to be corrected, the method can be performed by linear sensor means for correcting, the device
Can be realized by hardware and/or software, for example, can be to be integrated in the control unit or control program inside measuring system.Such as
Shown in Fig. 1, the method specifically includes following steps：
Step S101, at least two canonical measure things are measured using sensor, to obtain corresponding correction measurement
Data.
Wherein, illustrated by taking the thickness transducer in currency examination device as an example, thickness is followed successively by x from small to large respectively1,
x2..., xnAt least two standard paper crosses paper moneys in currency examination device, then correspond to obtain sensor output at least three correction survey
Amount data are respectively y1, y2..., yn。
Additionally, in order to obtain correction accuracy higher, step S101 can also be at least three standards using sensor
Measurement thing is measured, to obtain corresponding correcting measuring data.
The corresponding relation of step S102, the real data for setting up each canonical measure thing and correcting measuring data, respectively by phase
Adjacent two correcting measuring datas are interval as a correction.
Wherein, the actual (real) thickness x of the real data of canonical measure thing, i.e. standard paper1, x2..., xn, set up x1, x2...,
xnRespectively with correcting measuring data y1, y2..., ynThe corresponding relation being corresponding in turn to.Respectively by two neighboring correcting measuring data
Interval as correction, it is open interval that the correction is interval.For example, two neighboring correcting measuring data ym, ym+1, and ym, ym+1∈{y1,
y2..., yn, if ym＜ ym+1When, it is (y that correction is intervalm, ym+1)；On the other hand, if ym+1＜ ymWhen, it is (y that correction is intervalm+1,
ym).The effective interval internal memory of certain correction for solving sensor output is corrected using the standard bank note of multi-thickness simultaneously
Sensitivity error problem.
Step S103, thing to be measured is measured by the sensor, to obtain corresponding real-time measuring data, and
Determine that the correction that the real-time measuring data falls into is interval.
Wherein, the real time output data of banknote to be measured is gathered by the thickness transducer of cash inspecting machine, to obtain survey in real time
Amount data yi.If ym＜ ym+1When, determine ym＜ yi＜ ym+1, then yiFall into correction interval (ym, ym+1)；On the other hand, if ym+1＜
ymWhen, determine ym+1＜ yi＜ ym, then yiFall into correction interval (ym+1, ym)。
In addition, however, it is determined that the real-time measuring data is identical with correcting measuring data, then transfer and the correcting measuring data
Corresponding real data, has completed trimming process since then, it is not necessary to carry out subsequent step.
Correcting measuring data and real data corresponding thereto in step S104, the correction interval fallen into according to
Linear relationship, the real data of thing to be measured is calculated with reference to the real-time measuring data.
For example, determining yiFall into correction interval (ym, ym+1), the correction interval (y fallen into thism, ym+1) corresponding correction ginseng
Number, i.e. ym, ym+1, xmAnd xm+1, wherein, xmAnd xm+1Be respectively with correcting measuring data ymAnd ym+1Corresponding canonical measure thing
Real data.
According to correction interval (ym, ym+1) in correcting measuring data and the reality corresponding with the correcting measuring data
The linear relationship of border data, with reference to the real-time measuring data yiCalculate the real data x of thing to be measuredi, such as according to formulaCalculate real time input data xi；Or, first according to correction interval (ym, ym+1) interior correction parameter ym,
ym+1, xmAnd xm+1The linear functional relation formula of real data and correcting measuring data is calculated, then according to the linear function
Relational expression and real-time measuring data yiCalculate the real data x of thing to be measuredi。
The technical scheme of the present embodiment, multisection type bearing calibration is designed according to sensor itself linear characteristic, is greatly improved
The precision of sensor calibration process, improves the measuring accuracy and stability of measuring system.
On the basis of above-mentioned technical proposal, after step S102, before step S103, also include, by each canonical measure
The real data of thing is recorded as correction parameter table with the corresponding relation of correcting measuring data.
Wherein, respectively by x1, x2..., xn, y1, y2..., ynIt is stored in nonvolatile storage as correction parameter table.
On this basis, specifically, step S105 includes：
Transferred from correction parameter table and the interval corresponding correction parameter of the correction for falling into；
The linear relationship of real data according to the correcting measuring data in the correction interval for falling into and corresponding thereto, knot
Close the correction parameter and real-time measuring data calculates the real data of thing to be measured.
For example, determining yiFall into correction interval (ym, ym+1), the correction fallen into this is transferred from correction parameter table interval
(ym, ym+1) corresponding correction parameter, i.e. ym, ym+1, xmAnd xm+1, wherein, xmAnd xm+1Be respectively with correcting measuring data ymAnd ym+1
The real data of corresponding canonical measure thing.
According to correction interval (ym, ym+1) in correcting measuring data and real data corresponding thereto linear pass
System, with reference to the real-time measuring data yiCalculate the real data x of thing to be measuredi, such as according to formula
Calculate real time input data xi；Or, first according to correction interval (ym, ym+1) interior correction parameter ym, ym+1, xmAnd xm+1It is calculated
The linear functional relation formula of real data and correcting measuring data, then according to the linear functional relation formula and real-time measuring data
yiCalculate the real data x of thing to be measuredi。
Embodiment two
Fig. 2 is refer to, Fig. 2 is a kind of flow chart of linear sensor bearing calibration that the embodiment of the present invention two is provided.This
Embodiment is optimized improvement based on above-described embodiment scheme, in particular, provides the tool for obtaining correcting measuring data
Body scheme.As shown in Fig. 2 the method includes：
Step S1011, to each the canonical measure thing at least two canonical measure things, measure at least two using sensor
At least two secondary, corresponding to obtain each canonical measure thing standby measurement data.
Step S1012, averages are calculated to described at least two standby measurement data, to obtain each canonical measure thing each
Corresponding correcting measuring data.
Wherein, asked after the measurement data to sensor output corresponding with each canonical measure thing carries out multi collect
Correcting measuring data is worth to, the accidental error in gatherer process is farthest avoided, correction is further increased
Precision, so as to further enhancing the stability of test system.
The corresponding relation of step S102, the real data for setting up each canonical measure thing and correcting measuring data, respectively by phase
Adjacent two correcting measuring datas are interval as a correction.
Step S103, thing to be measured is measured by the sensor, to obtain corresponding real-time measuring data, and
Determine that the correction that the real-time measuring data falls into is interval.
Correcting measuring data and real data corresponding thereto in step S104, the correction interval fallen into according to
Linear relationship, the real data of thing to be measured is calculated with reference to the real-time measuring data.
The technical scheme of the present embodiment, to passing while according to the design multisection type bearing calibration of sensor itself linear characteristic
The correcting measuring data of sensor carries out multi collect and averages, and further increases the precision of sensor calibration process, improves and surveys
The measuring accuracy and stability of amount system.
Embodiment three
Fig. 3 is refer to, Fig. 3 is a kind of flow chart of linear sensor bearing calibration that the embodiment of the present invention three is provided.This
Embodiment is optimized improvement based on the scheme of above-described embodiment one, in particular, provides acquisition correcting measuring data
Concrete scheme.As shown in figure 3, the method includes：
Step S100, the initial value to sensor are gathered at least twice, to obtain initial value average.
Wherein, in the case of sensor is not input into, the initial value to sensor output carries out multi collect, obtains just
Initial value average
Step S1011, to each the canonical measure thing at least two canonical measure things, measure at least two using sensor
It is secondary, to obtain the corresponding at least two standby measurement data of each canonical measure thing.
Step S1012, the difference for calculating described at least two standby measurement data and initial value average respectively, to obtain extremely
Few two standby step data.
Step S1013, averages are calculated to described at least two standby step data, to obtain each canonical measure thing each
Corresponding correcting measuring data.
Wherein, first obtain sensor without be input into the case of initial mean value average, then by sensor with it is every
The measurement data of individual canonical measure thing correspondence output average after multi collect obtaining correcting measuring data, at utmost
The accidental error and sensor that avoid in gatherer process be not zeroed the certainty error of generation, further increase correction
Precision, so as to further enhancing the stability of test system.
The corresponding relation of step S102, the real data for setting up each canonical measure thing and correcting measuring data, respectively by phase
Adjacent two correcting measuring datas are interval as a correction.
Step S103, thing to be measured is measured by the sensor, to obtain corresponding real-time measuring data, and
Determine that the correction that the real-time measuring data falls into is interval；
Specifically, thing to be measured is measured by the sensor, is included with obtaining corresponding real-time measuring data：
Acquisition measurement intermediate data in real time is measured to thing to be measured by the sensor；
The difference of the real-time measurement intermediate data and initial value average is calculated, to obtain corresponding real-time measuring data.
Therefore, during the real-time measuring data is the measurement that the sensor is measured to thing to be measured in this method
Between data and the initial value averageDifference.
Correcting measuring data and real data corresponding thereto in step S104, the correction interval fallen into according to
Linear relationship, the real data of thing to be measured is calculated with reference to the real-time measuring data.
The technical scheme of the present embodiment, to passing while according to the design multisection type bearing calibration of sensor itself linear characteristic
The initial value and correcting measuring data of sensor carry out multi collect and average, and further increase the essence of sensor calibration process
Degree, improves the measuring accuracy and stability of measuring system.
The implementation of the system of residual bank note is reclaimed during the following is a kind of initialization provided in the specific embodiment of the invention
Example, the embodiment of system is based on the embodiment realization of above-mentioned method, and not most description, refer to preceding method in systems
Embodiment.
Example IV
Fig. 4 is refer to, Fig. 4 is a kind of structural representation of linear sensor means for correcting that fourth embodiment of the invention is provided
Figure.As shown in figure 4, the device includes：
Correcting measuring data acquisition module 101, for being measured at least two canonical measure things using sensor, with
Obtain corresponding correcting measuring data；
The interval division module 102 of correction, the real data for setting up each canonical measure thing is right with correcting measuring data
Should be related to, it is respectively that two neighboring correcting measuring data is interval as a correction；
Correction interval determination module 103, it is corresponding to obtain for being measured to thing to be measured by the sensor
Real-time measuring data, and determine that the correction that the real-time measuring data falls into is interval；
Correction module 104, for reality according to the correcting measuring data in the correction interval for falling into and corresponding thereto
The linear relationship of data, the real data of thing to be measured is calculated with reference to the real-time measuring data.
Further, described device also includes correction parameter logging modle, for by the real data of each canonical measure thing
Recorded as correction parameter table with the corresponding relation of correcting measuring data；
Specifically, the correction module 104 includes：
Correction parameter transfers unit, the interval corresponding correction ginseng of the correction for being transferred from correction parameter table with fall into
Number；
Correction calculation unit, for reality according to the correcting measuring data in the correction interval for falling into and corresponding thereto
The linear relationship of data, the real data of thing to be measured is calculated with reference to the correction parameter and real-time measuring data.
The technical scheme of the present embodiment, multisection type bearing calibration is designed according to sensor itself linear characteristic, improves biography
The precision of sensor trimming process, improves the measuring accuracy and stability of measuring system.
On the basis of above-mentioned technical proposal, the correcting measuring data acquisition module 101 is specifically included：
Standby measurement data acquiring unit, for each the canonical measure thing at least two canonical measure things, using
Sensor is measured at least twice, at least two standby measurement data corresponding to obtain each canonical measure thing；
Correcting measuring data computing unit, it is every to obtain for calculating average to described at least two standby measurement data
Individual each self-corresponding correcting measuring data of canonical measure thing.
Averaged after the measurement data to sensor output corresponding with each canonical measure thing carries out multi collect
Correcting measuring data is obtained, the accidental error in gatherer process is farthest avoided, correction accuracy is further increased,
So as to further enhancing the stability of test system.
Embodiment five
Fig. 5 is refer to, Fig. 5 is a kind of structural representation of linear sensor means for correcting that the embodiment of the present invention five is provided
Figure.The present embodiment is optimized improvement based on the scheme of above-mentioned example IV, in particular, provides correcting measuring data
The concrete scheme of acquisition module.As shown in figure 5, the device includes：
Initial value average acquisition module 100, it is for the initial value collection to sensor at least twice, equal to obtain initial value
Value；
Standby measurement data acquiring unit 1011, for each the canonical measure thing at least two canonical measure things,
Using sensor measurement at least twice, at least two standby measurement data corresponding to obtain each canonical measure thing；
Standby step Data Computation Unit 1012, for calculating described at least two standby measurement data and initial value respectively
The difference of average, to obtain at least two standby step data；
Correcting measuring data computing unit 1013, for calculating average to described at least two standby step data, to obtain
Take each self-corresponding correcting measuring data of each canonical measure thing；
The interval division module 102 of correction, the real data for setting up each canonical measure thing is right with correcting measuring data
Should be related to, it is respectively that two neighboring correcting measuring data is interval as a correction；
Correction interval determination module 103, it is corresponding to obtain for being measured to thing to be measured by the sensor
Real-time measuring data, and determine that the correction that the real-time measuring data falls into is interval；
Correction module 104, for according to the correction for falling into it is interval in correcting measuring data and corresponding thereto
The linear relationship of real data, the real data of thing to be measured is calculated with reference to the real-time measuring data.
The technical scheme of the present embodiment, to passing while according to the design multisection type bearing calibration of sensor itself linear characteristic
The initial value and correcting measuring data of sensor carry out multi collect and average, and further increase the essence of sensor calibration process
Degree, improves the measuring accuracy and stability of measuring system.
The said goods can perform the method that any embodiment of the present invention is provided, and possess the corresponding functional module of execution method
And beneficial effect.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although the present invention is carried out by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
More other Equivalent embodiments can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. a kind of linear sensor bearing calibration, it is characterised in that the method includes：
At least two canonical measure things are measured using sensor, to obtain corresponding correcting measuring data；
The real data of each canonical measure thing and the corresponding relation of correcting measuring data are set up, respectively two neighboring correction is measured
Data are interval as a correction；
Thing to be measured is measured by the sensor, to obtain corresponding real-time measuring data, and is determined described real-time
The correction that measurement data falls into is interval；
The linear relationship of real data according to the correcting measuring data in the correction interval for falling into and corresponding thereto, knot
Close the real data that the real-time measuring data calculates thing to be measured.
2. method according to claim 1, it is characterised in that at least two canonical measure things are surveyed using sensor
Amount, is included with obtaining corresponding correcting measuring data：
To each the canonical measure thing at least two canonical measure things, using sensor measurement at least twice, to obtain
At least two corresponding standby measurement data of described each canonical measure thing；
Average is calculated to described at least two standby measurement data, to obtain each self-corresponding correction of described each canonical measure thing
Measurement data.
3. method according to claim 1, it is characterised in that at least two canonical measure things are surveyed using sensor
Amount, before obtaining corresponding correcting measuring data, also to include：
Initial value to the sensor is gathered at least twice, to obtain initial value average.
4. method according to claim 3, it is characterised in that at least two canonical measure things are surveyed using sensor
Amount, is included with obtaining corresponding correcting measuring data：
To each the canonical measure thing at least two canonical measure things, using sensor measurement at least twice, with
Obtain the corresponding at least two standby measurement data of described each canonical measure thing；
The difference of described at least two standby measurement data and initial value average is calculated respectively, to obtain described each canonical measure
The corresponding at least two standby step data of thing；
Average is calculated to described at least two standby step data, to obtain each self-corresponding correction measurement of each canonical measure thing
Data.
5. method according to claim 1, it is characterised in that the real data and correction for setting up each canonical measure thing are measured
The corresponding relation of data, respectively using two neighboring correcting measuring data as one correction interval after, also include, will it is each described in
The real data of canonical measure thing is recorded as correction parameter table with the corresponding relation of correcting measuring data.
6. method according to claim 5, it is characterised in that number is measured according to the correction in the correction interval for falling into
According to the linear relationship with real data corresponding thereto, the real data of thing to be measured is calculated with reference to the real-time measuring data
Including：
Transferred from correction parameter table and the interval corresponding correction parameter of the correction for falling into；
The linear relationship of real data according to the correcting measuring data in the correction interval for falling into and corresponding thereto, with reference to institute
State correction parameter and real-time measuring data calculates the real data of thing to be measured.
7. a kind of linear sensor means for correcting, it is characterised in that the device includes：
Correcting measuring data acquisition module, it is right to obtain for being measured at least two canonical measure things using sensor
The correcting measuring data answered；
The interval division module of correction, for setting up the real data of each canonical measure thing and the corresponding relation of correcting measuring data,
It is respectively that two neighboring correcting measuring data is interval as a correction；
Correction interval determination module, for being measured to thing to be measured by the sensor, to obtain corresponding real-time survey
Amount data, and determine that the correction that the real-time measuring data falls into is interval；
Correction module, the correcting measuring data in interval and real data corresponding thereto are corrected for what is fallen into according to
Linear relationship, the real data of thing to be measured is calculated with reference to the real-time measuring data.
8. device according to claim 7, it is characterised in that the correcting measuring data acquisition module includes：
Standby measurement data acquiring unit, for each the canonical measure thing at least two canonical measure things, using described
Sensor is measured at least twice, at least two standby measurement data corresponding to obtain described each canonical measure thing；
Correcting measuring data computing unit, it is described every to obtain for calculating average to described at least two standby measurement data
Individual each self-corresponding correcting measuring data of canonical measure thing.
9. device according to claim 7, it is characterised in that described device also includes initial value average acquisition module, uses
In the initial value collection to the sensor at least twice, to obtain initial value average；
The correcting measuring data acquisition module includes：
Standby measurement data acquiring unit, for each the canonical measure thing at least two canonical measure things, using
Sensor is measured at least twice, to obtain the corresponding at least two standby measurement data of described each canonical measure thing；
Standby step Data Computation Unit, the difference for calculating described at least two standby measurement data and initial value average respectively
Value, to obtain the corresponding at least two standby step data of described each canonical measure thing；
Correcting measuring data computing unit, for calculating average to described at least two standby step data, to obtain each mark
Each self-corresponding correcting measuring data of locating tab assembly thing.
10. device according to claim 7, it is characterised in that described device also includes correction parameter logging modle, is used for
The corresponding relation of the real data of each canonical measure thing and correcting measuring data is recorded as correction parameter table；
The correction module includes：
Correction parameter transfers unit, for transferring corresponding correction ginseng interval with the correction for falling into from correction parameter table
Number；
Correction calculation unit, for real data according to the correcting measuring data in the correction interval for falling into and corresponding thereto
Linear relationship, the real data of thing to be measured is calculated with reference to the correction parameter and real-time measuring data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710239605.XA CN106840247A (en) | 2017-04-13 | 2017-04-13 | A kind of linear sensor bearing calibration and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710239605.XA CN106840247A (en) | 2017-04-13 | 2017-04-13 | A kind of linear sensor bearing calibration and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106840247A true CN106840247A (en) | 2017-06-13 |
Family
ID=59146828
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710239605.XA Pending CN106840247A (en) | 2017-04-13 | 2017-04-13 | A kind of linear sensor bearing calibration and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106840247A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107369182A (en) * | 2017-06-22 | 2017-11-21 | 北京机械设备研究所 | A kind of ectoskeleton vola interacts the quickly calibrated system and method for force signal |
| CN109556919A (en) * | 2017-09-26 | 2019-04-02 | 深圳市新产业生物医学工程股份有限公司 | Liquid-transfering device and its liquid relief control method |
| CN110132115A (en) * | 2019-05-16 | 2019-08-16 | 无锡市迈日机器制造有限公司 | The signal adapter and signal correction method of submicron order high-precision HBT displacement sensor |
| CN110312225A (en) * | 2019-07-30 | 2019-10-08 | 平顶山学院 | A kind of wireless sensor hardware device |
| CN111256744A (en) * | 2020-02-27 | 2020-06-09 | 苏州海之博电子科技有限公司 | Calibration method of linear output position sensor |
| CN111277266A (en) * | 2020-02-20 | 2020-06-12 | 北京华益精点生物技术有限公司 | Correction method and device for signal acquisition value based on glucometer |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW318918B (en) * | 1994-05-27 | 1997-11-01 | Ind Tech Res Inst | Digital gamma correction method and device thereof |
| CN101592474A (en) * | 2009-06-26 | 2009-12-02 | 哈尔滨工业大学 | The evaluation method of asphalt pavement material and fiber-optic grating sensor cooperative transformation |
| CN102853893A (en) * | 2011-06-28 | 2013-01-02 | 福建新大陆电脑股份有限公司 | Electronic balance and correction method and device of weight sensor of electronic balance |
| CN102879061A (en) * | 2012-09-19 | 2013-01-16 | 宁波水表股份有限公司 | Water gauge error correction method based on fitted equation |
| CN103175547A (en) * | 2011-12-21 | 2013-06-26 | 北京普源精电科技有限公司 | Parameter fitting method of data acquisition device |
| CN103591973A (en) * | 2013-10-12 | 2014-02-19 | 中国人民解放军第二炮兵工程大学 | Nonlinear least square tri-axial vector sensor high-precision correction method |
| CN104198976A (en) * | 2014-09-19 | 2014-12-10 | 西安电子科技大学 | Correction method for Hall voltage sensor measuring voltage |
| JP2016087884A (en) * | 2014-10-31 | 2016-05-23 | 株式会社リコー | Recording means discharge position adjusting device, linear error correction value generation device, image forming device, and recording means position correction method |
-
2017
- 2017-04-13 CN CN201710239605.XA patent/CN106840247A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW318918B (en) * | 1994-05-27 | 1997-11-01 | Ind Tech Res Inst | Digital gamma correction method and device thereof |
| CN101592474A (en) * | 2009-06-26 | 2009-12-02 | 哈尔滨工业大学 | The evaluation method of asphalt pavement material and fiber-optic grating sensor cooperative transformation |
| CN102853893A (en) * | 2011-06-28 | 2013-01-02 | 福建新大陆电脑股份有限公司 | Electronic balance and correction method and device of weight sensor of electronic balance |
| CN103175547A (en) * | 2011-12-21 | 2013-06-26 | 北京普源精电科技有限公司 | Parameter fitting method of data acquisition device |
| CN102879061A (en) * | 2012-09-19 | 2013-01-16 | 宁波水表股份有限公司 | Water gauge error correction method based on fitted equation |
| CN103591973A (en) * | 2013-10-12 | 2014-02-19 | 中国人民解放军第二炮兵工程大学 | Nonlinear least square tri-axial vector sensor high-precision correction method |
| CN104198976A (en) * | 2014-09-19 | 2014-12-10 | 西安电子科技大学 | Correction method for Hall voltage sensor measuring voltage |
| JP2016087884A (en) * | 2014-10-31 | 2016-05-23 | 株式会社リコー | Recording means discharge position adjusting device, linear error correction value generation device, image forming device, and recording means position correction method |
Non-Patent Citations (2)
| Title |
|---|
| 李现明 等: "《自动检测技术》", 30 September 2008 * |
| 洪小丽 等: "自感式电感传感器中零点误差的处理", 《中国仪器仪表》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107369182A (en) * | 2017-06-22 | 2017-11-21 | 北京机械设备研究所 | A kind of ectoskeleton vola interacts the quickly calibrated system and method for force signal |
| CN107369182B (en) * | 2017-06-22 | 2020-05-01 | 北京机械设备研究所 | Exoskeleton sole interaction force signal rapid calibration system and method |
| CN109556919A (en) * | 2017-09-26 | 2019-04-02 | 深圳市新产业生物医学工程股份有限公司 | Liquid-transfering device and its liquid relief control method |
| CN110132115A (en) * | 2019-05-16 | 2019-08-16 | 无锡市迈日机器制造有限公司 | The signal adapter and signal correction method of submicron order high-precision HBT displacement sensor |
| CN110312225A (en) * | 2019-07-30 | 2019-10-08 | 平顶山学院 | A kind of wireless sensor hardware device |
| CN110312225B (en) * | 2019-07-30 | 2022-06-03 | 平顶山学院 | Wireless sensor hardware device |
| CN111277266A (en) * | 2020-02-20 | 2020-06-12 | 北京华益精点生物技术有限公司 | Correction method and device for signal acquisition value based on glucometer |
| CN111256744A (en) * | 2020-02-27 | 2020-06-09 | 苏州海之博电子科技有限公司 | Calibration method of linear output position sensor |
| CN111256744B (en) * | 2020-02-27 | 2021-06-29 | 苏州海之博电子科技有限公司 | Calibration method of linear output position sensor |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106840247A (en) | A kind of linear sensor bearing calibration and device | |
| CN108182433A (en) | A kind of meter reading recognition methods and system | |
| CN106055157B (en) | A kind of sensitivity consistency calibration method of pressure touch equipment | |
| CN101846572B (en) | Method for decreasing basic error of pressure sensor | |
| CN101201713A (en) | Coordinate input apparatus | |
| CN107144400A (en) | Differential pressure pickup and its calibration method, calibration check method | |
| CN104792306B (en) | A kind of inclination angle measurement method | |
| CN109239654A (en) | Positioning using TDOA result method for correcting error neural network based | |
| CN103823084A (en) | Method for calibrating three-axis acceleration sensor | |
| CN103776482B (en) | The image detecting method of the scale of pointer instrument without scale line | |
| CN105841762A (en) | Supersonic wave water meter flow metering method and system | |
| CN104678340B (en) | A kind of magnetometer survey error correction method and system | |
| CN109443265A (en) | Assessment method based on polar angle dichotomizing search optimizing circumference equal dividing hole location | |
| CN106662472A (en) | Therapeutic treatment device | |
| CN109254924A (en) | A kind of software fault positioning method, device, equipment and readable storage medium storing program for executing | |
| CN105571666B (en) | Flow-compensated method and compensation device, flow sensor | |
| CN107170147A (en) | Modification method and device, the electronic equipment and storage medium of photoelectric sensor | |
| CN104166985B (en) | A kind of star sensor scaling method based on region segmentation | |
| KR102006029B1 (en) | Method and Apparatus for calculation azimuth | |
| CN108845290A (en) | A kind of method of the anti-phase ambiguity of ultra-short baseline array | |
| CN105528825B (en) | Valuable document self-adaptive identification method and device | |
| CN104835197A (en) | Three-dimensional body temperature measurement device and data processing method | |
| CN112488030A (en) | Pointer instrument meter reading method based on machine vision | |
| US20130027343A1 (en) | Position determination techniques in resistive touch screen applications | |
| CN107424287B (en) | The stiff thickness detection method of adaptive stiff thickness detection module performance degradation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170613 |
|
| RJ01 | Rejection of invention patent application after publication |