CN106383206A - Accurate zonal compensation method for measuring curve data of relative air humidity - Google Patents
Accurate zonal compensation method for measuring curve data of relative air humidity Download PDFInfo
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- CN106383206A CN106383206A CN201610939453.XA CN201610939453A CN106383206A CN 106383206 A CN106383206 A CN 106383206A CN 201610939453 A CN201610939453 A CN 201610939453A CN 106383206 A CN106383206 A CN 106383206A
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- air humidity
- error compensation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0006—Calibrating gas analysers
- G01N33/0008—Details concerning storage of calibration data, e.g. in EEPROM
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Abstract
The invention discloses an accurate zonal compensation method for measuring curve data of relative air humidity. The method comprises the following steps: establishing an error compensation comparison table of a relative air humidity measuring system, detecting the error compensation value corresponding to the measured value by checking the error compensation comparison table, and finally, carrying out compensation on the measured value of the relative humidity of air measuring system by adding the measured value to the error compensation value. The method effectively compensates various errors caused by the relative air humidity measuring system in measurement, and enhances the measurement accuracy of the relative air humidity measuring system.
Description
Technical field
The present invention relates to relative air humidity fields of measurement, particularly to being a kind of error of relative air humidity measured value
Compensation method.
Background technology
Most relative air humidity measuring systems are automated production now, that is, have the collection of collection relative air humidity
Head, control module, display module etc..Wherein relative air humidity is converted to system discernible numeral lattice by control module
Formula, and export with the mode of man-machine communication.Therefore due to there is the error of transformation process, signal transmission etc., so accumulating
, will there is error between larger measured value and actual value for the ratio in whole system, and error irregular follow it is possible to be in line
Property it is also possible to be in the curve such as wave, parabola, linearity configuration is irregular to follow.Therefore how relative air humidity is surveyed
The error that amount system itself produces reasonably is compensated and is corrected the key point becoming problem.
Content of the invention
The technical problem to be solved in the present invention is：There is the mistake being produced by system itself in relative air humidity measuring system
Difference.
The present invention provides a kind of accurate partition compensation method of the curve data of measurement relative air humidity：Initially set up sky
The error compensation synopsis to humidity measurement system for the gas phase, then finds measured value correspondence by looking into described error compensation synopsis
Error compensation value, finally by the mode being added measured value with error compensation value to described relative air humidity measuring system
Measured value compensate.
Improvement further to technique scheme is that the foundation of described error compensation synopsis includes step：
1）The measurement range of relative air humidity measuring system is equally divided into several measurement data points with fixed interval；
2）Obtain measured value and the standard value of each described data point, described standard value is with reaching National Laboratory's required precision
Detected value under same environmental condition for the relative air humidity measuring instrument；
3）The measured value of corresponding data point is made difference with standard value and is just obtained the corresponding error compensation value of measured value；
4）Record the corresponding measured value of each data point, standard value and error compensation value, obtain error compensation synopsis.
Improvement further to technique scheme is, described step 2）Using same data point, repeatedly measurement is averaged
The method of value obtains described measured value.By repeatedly measuring in same data point and averaging, so can effectively subtract
The random error of few measured value, improves the reliability of measurement.
Improvement further to technique scheme is to want initialization survey system after each measurement.Either measure
The hardware of system or software, each measurement all should be with initialized state, because such guarantee measures every time obtaining
Measured value all obtain for the first time, will not have error Accumulation Phenomenon.
Improvement further to technique scheme is, by error compensation synopsis after obtaining error compensation synopsis
Data turns to binary format.In order to error compensation synopsis will be allowed to facilitate calling of relative air humidity measuring system, so
The data of error compensation synopsis is turned to binary form.
The invention has the beneficial effects as follows：The present invention passes through to provide a kind of the accurate of curve data of measurement relative air humidity
Partition compensation method：Initially set up the error compensation synopsis of relative air humidity measuring system, then by looking into described error
Compensate synopsis and find the corresponding error compensation value of measured value, finally by the mode pair being added measured value with error compensation value
The measured value of described relative air humidity measuring system compensates.By said method, thus having effectively compensated for air phase
To humidity measurement system from the various errors causing in measurement, the certainty of measurement of lifting relative air humidity measuring system.
Brief description
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, will make to required in embodiment description below
Accompanying drawing is briefly described.Obviously, described accompanying drawing is a part of embodiment of the present invention, rather than whole enforcement
Example, those skilled in the art's on the premise of not paying creative work, other designs can also be obtained according to these accompanying drawings
Scheme and accompanying drawing.
Fig. 1 is the flow chart of steps setting up error compensation synopsis；
Fig. 2 is error compensation synopsis；
Fig. 3 is the tables of data after error compensation synopsis is scaled binary system.
Specific embodiment
Technique effect below with reference to the design, concrete structure and generation to the present invention of embodiment and accompanying drawing is carried out clearly
Chu, complete description, to be completely understood by the purpose of the present invention, feature and effect.Obviously, described embodiment is this
Bright a part of embodiment, rather than whole embodiments, based on embodiments of the invention, those skilled in the art is not paying
The other embodiment being obtained on the premise of creative work, belongs to the scope of protection of the invention.In addition, be previously mentioned in literary composition
All connection/annexations, not singly refer to component and directly connect, and refer to be added deduct by adding according to the situation that is embodied as
Couple auxiliary less, to form more excellent draw bail.Each technical characteristic in the invention, in not conflicting conflict
Under the premise of can be with combination of interactions.
Embodiment 1
With reference to Fig. 1, a kind of accurate partition compensation method of the curve data of measurement relative air humidity, initially set up air relatively
The error compensation synopsis of humidity measurement system, then finds the corresponding error of measured value by looking into described error compensation synopsis
Offset, finally by the measurement to described relative air humidity measuring system for the mode being added measured value with error compensation value
Value compensates.
As optimization, set up the error compensation tables of relative air humidity measuring system, concrete steps using such method
Including：
1）The measurement range of relative air humidity measuring system is equally divided into several measurement data points with fixed interval；
2）Obtain measured value and the standard value of each described data point, described standard value is with reaching National Laboratory's required precision
Detected value under same environmental condition for the relative air humidity measuring instrument；
3）The measured value of corresponding data point is made difference with standard value and is just obtained the corresponding error compensation value of measured value；
4）Record the corresponding measured value of each data point, standard value and error compensation value, obtain error compensation synopsis.
So that a measurement range is in the measuring system between relative humidity 40%RH ~ 60%RH as a example, with 2% fixed interval
Equally be divided into 11 measurement data points, respectively 40%RH, 42%RH ... 60%RH.
In the lab data point pointwise is measured, described laboratory is taken by the heat-insulated moisturizing material such as polystyrene
Build, the measured value of the relative air humidity tester being produced using OMEGA company of the U.S. is used as standard value.Adjust laboratory
Relative humidity, so as to stable open measuring system and tester in 40%RH, waits about 5 minutes, allows the air of laboratory to fill
Point uniformly, the measured value that now collecting and measuring system obtains and the standard value that tester obtains.Certainly as optimizing, repeatedly to same
One data point is acquired, and then measured value is averaged, thus reducing random error.Here select to same data
Point carries out 3 measurements and is averaged, and is labeled as average measurement value, in the same manner the measured value of tester is also averaged, and is labeled as average
Standard value.So that the data of measurement is more accurate, as optimization, between each measurement will initialization survey system,
And wait about 5 minutes, make the air of laboratory full and uniform.Repetitive operation like this, until all of data point all quilts
Survey, recorded and be calculated error compensation synopsis as shown in Figure 2.
As optimization, after obtaining error compensation synopsis, the data of error compensation synopsis is turned to binary format.
Obtain tables of data as shown in Figure 3.
In actually used, when the corresponding error compensation value of humidity measurements is not in error compensation synopsis, then makes and not existing
The humidity measurements of error compensation synopsis are A, value B after following computing obtains the corresponding compensation of A, are specifically calculated as：
B=（A-Y1）×（X2-X1）/（Y2-Y1）+ X1.
Y2：Error compensation synopsis is more than the adjacent humidity measurements of A；
Y1：Error compensation synopsis is less than the adjacent humidity measurements of A；
X2：Y2 corresponding humidity standard value；
X1：Y1 corresponding humidity standard value；
B：Value after the corresponding compensation of A；
A：Not in the humidity measurements of error compensation synopsis；
Above the better embodiment of the present invention is illustrated, but the invention is not limited to described embodiment,
Those of ordinary skill in the art also can make a variety of equivalent modifications or replacement on the premise of spiritual without prejudice to the present invention, this
The modification being equal to a bit or replacement are all contained in the application claim limited range.
Claims (5)
1. a kind of measurement relative air humidity curve data accurate partition compensation method it is characterised in that：Initially set up sky
The error compensation synopsis to humidity measurement system for the gas phase, then finds measured value correspondence by looking into described error compensation synopsis
Error compensation value, finally by the mode being added measured value with error compensation value to described relative air humidity measuring system
Measured value compensate.
2. the accurate partition compensation method of the curve data of a kind of measurement relative air humidity according to claim 1, institute
The foundation stating error compensation synopsis includes step：
1）The measurement range of relative air humidity measuring system is equally divided into several measurement data points with fixed interval；
2）Obtain measured value and the standard value of each described data point, described standard value is with reaching National Laboratory's required precision
Detected value under same environmental condition for the relative air humidity measuring instrument；
3）The measured value of corresponding data point is made difference with standard value and is just obtained the corresponding error compensation value of measured value；
4）Record the corresponding measured value of each data point, standard value and error compensation value, obtain error compensation synopsis.
3. the accurate partition compensation method of the curve data of a kind of measurement relative air humidity according to claim 2, its
It is characterised by：Described step 2）The method averaged repeatedly is measured using same data point and obtains described measured value.
4. the accurate partition compensation method of the curve data of a kind of measurement relative air humidity according to claim 3, its
It is characterised by：Measuring system is reinitialized after measuring every time.
5. the accurate partition compensation of the curve data of a kind of measurement relative air humidity according to any one of claim 2-4
Method it is characterised in that：After obtaining error compensation synopsis, the data of error compensation synopsis is turned to binary format.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610939453.XA CN106383206A (en) | 2016-10-25 | 2016-10-25 | Accurate zonal compensation method for measuring curve data of relative air humidity |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610939453.XA CN106383206A (en) | 2016-10-25 | 2016-10-25 | Accurate zonal compensation method for measuring curve data of relative air humidity |
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| CN106383206A true CN106383206A (en) | 2017-02-08 |
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| CN201610939453.XA Pending CN106383206A (en) | 2016-10-25 | 2016-10-25 | Accurate zonal compensation method for measuring curve data of relative air humidity |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060214730A1 (en) * | 2003-04-07 | 2006-09-28 | Junichiro Yamakawa | Transmission amplifier |
| CN104457853A (en) * | 2014-12-10 | 2015-03-25 | 中国航空工业集团公司金城南京机电液压工程研究中心 | Temperature and humidity measuring meter with correcting function and method for correcting temperature and humidity measuring data |
-
2016
- 2016-10-25 CN CN201610939453.XA patent/CN106383206A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060214730A1 (en) * | 2003-04-07 | 2006-09-28 | Junichiro Yamakawa | Transmission amplifier |
| CN104457853A (en) * | 2014-12-10 | 2015-03-25 | 中国航空工业集团公司金城南京机电液压工程研究中心 | Temperature and humidity measuring meter with correcting function and method for correcting temperature and humidity measuring data |
Non-Patent Citations (1)
| Title |
|---|
| 邓卫勤: "湿度仪示值误差测量结果的不确定度评定", 《气象水文海洋仪器》 * |
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Application publication date: 20170208 |