CN114184648B - Moisture content calibration method for resistance-capacitance humidity sensor - Google Patents
Moisture content calibration method for resistance-capacitance humidity sensor Download PDFInfo
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- CN114184648B CN114184648B CN202210135043.5A CN202210135043A CN114184648B CN 114184648 B CN114184648 B CN 114184648B CN 202210135043 A CN202210135043 A CN 202210135043A CN 114184648 B CN114184648 B CN 114184648B
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- G01N27/223—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating capacitance for determining moisture content, e.g. humidity
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Abstract
The disclosure provides a moisture content calibration method for a resistance-capacitance humidity sensor, and belongs to the technical field of gas measurement. The calibration method comprises the following steps: drawing a moisture content fitting curve in a coordinate system with the moisture content measured value of the gas as an X axis and the theoretical moisture content of the gas as a Y axis based on the moisture content measured value and the theoretical moisture content of the sample gas; selecting a first calibration point and a second calibration point on the moisture content fitting curve, and generating a first calibration model, a second calibration model and a third calibration model based on the coordinate of the first calibration point and the coordinate of the second calibration point; and introducing the gas to be measured into the resistance-capacitance method humidity sensor, and calibrating the moisture content measured value of the gas to be measured by adopting the first calibration model, the second calibration model or the third calibration model. By the method, the problem that the calibration effect of the single-point calibration method in the prior art on the moisture content measured value of the gas to be measured is poor is effectively solved.
Description
Technical Field
The disclosure relates to the technical field of gas measurement, in particular to a moisture content calibration method for a resistance-capacitance humidity sensor.
Background
At present, the methods for measuring the moisture content of the flue gas mainly comprise a dry-wet ball method, a condensation method, a weight method, a resistance-capacitance method, humidity measurement and the like. The principle of the resistance-capacitance method humidity measurement is as follows: the gas to be measured collected by the sampling probe is conveyed to the resistance-capacitance humidity sensor after passing through the transmission pipeline and the filtering device in sequence, and the moisture content of the gas to be measured is measured by the resistance-capacitance humidity sensor. However, in this method, due to the loss of moisture content during the gas transmission process and the error of the humidity sensor in the resistance-capacitance method, a certain deviation exists between the moisture content measurement value and the actual moisture content or the theoretical moisture content of the gas, so that the accuracy of the measured moisture content of the gas is poor.
In the prior art, a single-point calibration method is adopted to calibrate the moisture content obtained by a humidity sensor by a resistance-capacitance method, but the method can only calibrate the moisture content measurement value of a point near a calibration point, but cannot effectively calibrate the moisture content measurement value of a point far away from the calibration point, so that the calibration effect on the moisture content measurement value of the gas to be measured in a full-range section is poor.
Disclosure of Invention
In view of this, the present disclosure provides a method for calibrating moisture content of a humidity sensor by a resistance-capacitance method, which can effectively solve the problem that a single-point calibration method in the prior art has a poor calibration effect on a moisture content measurement value of a gas to be measured.
The following presents a simplified summary of the disclosure in order to provide a basic understanding of some aspects of the disclosure. It should be understood that this summary is not an exhaustive overview of the disclosure. It is not intended to identify key or critical elements of the disclosure or to delineate the scope of the disclosure. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is discussed later.
According to a first aspect of the present disclosure, there is provided a method of calibrating moisture content for a capacitance-resistance humidity sensor, comprising:
introducing a sample gas into a resistance-capacitance method humidity sensor, and drawing a moisture content fitting curve in a coordinate system taking the moisture content measured value as an X axis and the theoretical moisture content as a Y axis based on the moisture content measured value and the theoretical moisture content of the sample gas;
selecting first and second calibration points on the moisture content fit curve, wherein the moisture content measurements of the first calibration points are less than the moisture content measurements of the second calibration points;
generating a first calibration model based on the coordinates of the first calibration point and the origin of coordinates, generating a second calibration model based on the coordinates of the second calibration point and the origin of coordinates, and generating a third calibration model based on the coordinates of the first calibration point and the second calibration point;
and introducing the gas to be measured into the resistance-capacitance method humidity sensor, and calibrating the moisture content measured value of the gas to be measured by adopting the first calibration model, the second calibration model or the third calibration model.
In some embodiments, the sample gas is generated by a constant temperature and humidity chamber, and the theoretical moisture content of the sample gas is calculated based on the temperature and humidity of the sample gas by the following formula:
wherein,
in order to be at a theoretical moisture content,
is the saturated vapor pressure at the current temperature,
is the relative humidity of the sample gas,
the pressure is the atmospheric pressure,
the static pressure of the environment was collected for the sample gas.
In some embodiments, the moisture content measurement of the first calibration point is between 5% and 7% and the moisture content measurement of the second calibration point is 20% at a 40% range of moisture content measurements on the X-axis.
In some embodiments, generating a first calibration model based on the coordinates of the first calibration point and the origin of coordinates comprises:
according to the coordinates of the first index point
Obtaining the slope of the connecting line of the first calibration point and the origin of coordinates
And based on said slope
Obtaining a first calibration model
。
In some embodiments, generating a second calibration model based on the coordinates of the second calibration point and the origin of coordinates comprises:
according to the coordinates of the second index point
Obtaining the slope of the connecting line of the second calibration point and the origin of coordinates
And based on said slope
Obtaining a second calibration model
。
In some embodiments, generating a third calibration model based on coordinates of the first calibration point and the second calibration point comprises:
coordinate the first index point
And second index point coordinates
Carry-in function
To obtain a third calibration model
。
In some embodiments, calibrating the moisture content measurement of the gas under test using the first calibration model, the second calibration model, or the third calibration model comprises:
when the moisture content measured value of the gas to be measured is smaller than that of the first calibration point, the first calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, when the moisture content measured value of the gas to be measured is smaller than that of the second calibration point and is larger than or equal to that of the first calibration point, the third calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, and when the moisture content measured value of the gas to be measured is larger than or equal to that of the second calibration point, the second calibration model is adopted to calibrate the moisture content measured value of the gas to be measured.
In some embodiments, calibrating the moisture content measurement of the gas under test using the first calibration model, the second calibration model, or the third calibration model comprises:
when the moisture content measured value of the gas to be measured is smaller than or equal to that of the first calibration point, the first calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, when the moisture content measured value of the gas to be measured is smaller than that of the second calibration point and larger than that of the first calibration point, the third calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, and when the moisture content measured value of the gas to be measured is larger than or equal to that of the second calibration point, the second calibration model is adopted to calibrate the moisture content measured value of the gas to be measured.
In some embodiments, calibrating the moisture content measurements of the gas under test using the first calibration model, the second calibration model, or the third calibration model comprises:
when the moisture content measured value of the gas to be measured is smaller than or equal to that of the first calibration point, the first calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, when the moisture content measured value of the gas to be measured is smaller than or equal to that of the second calibration point and is larger than that of the first calibration point, the third calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, and when the moisture content measured value of the gas to be measured is larger than that of the second calibration point, the second calibration model is adopted to calibrate the moisture content measured value of the gas to be measured.
In some embodiments, calibrating the moisture content measurement of the gas under test using the first calibration model, the second calibration model, or the third calibration model comprises:
when the moisture content measured value of the gas to be measured is smaller than that of the first calibration point, the first calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, when the moisture content measured value of the gas to be measured is smaller than or equal to that of the second calibration point and is larger than or equal to that of the first calibration point, the third calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, and when the moisture content measured value of the gas to be measured is larger than that of the second calibration point, the second calibration model is adopted to calibrate the moisture content measured value of the gas to be measured.
The invention provides a method for calibrating the moisture content measurement value of a resistance-capacitance method humidity sensor in a segmented manner by two-point calibration on the basis of the existing single-point calibration, and effectively solves the problem that the single-point calibration method in the prior art has poor calibration effect on the moisture content measurement value of the gas to be measured.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required in the embodiments will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts. The foregoing and other objects, features and advantages of the application will be apparent from the accompanying drawings. Like reference numerals refer to like parts throughout the drawings. The drawings are not intended to be to scale as practical, emphasis instead being placed upon illustrating the subject matter of the present application.
Fig. 1 is a flow chart of a method for calibrating moisture content of a humidity sensor by a resistance-capacitance method according to an embodiment of the present disclosure.
Fig. 2 is a schematic illustration of a moisture content fit curve provided in accordance with an embodiment of the present disclosure.
Fig. 3 is a schematic diagram of a first index point and a second index point provided according to an embodiment of the disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, relational terms such as "first," "second," and the like may be used solely in the description herein to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Exemplary embodiments of the present disclosure will be described below with reference to the accompanying drawings. In the interest of clarity and conciseness, not all features of an actual embodiment are described in the specification. It will of course be appreciated that in the development of any such actual embodiment, numerous implementation-specific decisions may be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which will vary from one implementation to another.
Here, it should be further noted that, in order to avoid obscuring the present disclosure with unnecessary details, only the device structure closely related to the scheme according to the present disclosure is shown in the drawings, and other details not so related to the present disclosure are omitted.
It is to be understood that the disclosure is not limited to the described embodiments, as described below with reference to the drawings. In this context, embodiments may be combined with each other, features may be replaced or borrowed between different embodiments, one or more features may be omitted in one embodiment, where feasible.
Fig. 1 shows a flowchart of a method 100 for calibrating moisture content of a humidity sensor by a resistance-capacitance method according to an embodiment of the present disclosure, where the method specifically includes:
step 110: and introducing the sample gas into a humidity sensor adopting a resistance-capacitance method, and drawing a moisture content fitting curve in a coordinate system taking the moisture content measured value as an X axis and the theoretical moisture content as a Y axis on the basis of the moisture content measured value and the theoretical moisture content of the sample gas.
In the embodiment of the present disclosure, before the step 110, the sample gas is generated by a constant temperature and humidity chamber, and in particular, in the embodiment of the present disclosure, the temperature and humidity of the gas are controlled by the constant temperature and humidity chamber, so that the sample gas with different temperatures and humidities can be generated, and the theoretical moisture content of the sample gas can be calculated based on the temperature and humidity of the sample gas.
In the embodiment of the present disclosure, the theoretical moisture content of the sample gas may be calculated by the following formula based on the temperature and humidity of the sample gas:
wherein,
is the theoretical moisture content of the sample gas,
in order to correspond to the saturated vapor pressure at the present temperature,
is the relative humidity of the sample gas,
the pressure is the atmospheric pressure,
the static pressure of the environment was collected for the sample gas.
In the embodiment of the disclosure, for the sample gas with different temperatures and humidities generated by controlling the temperature and humidity of the gas through the constant temperature and humidity chamber, a plurality of corresponding theoretical moisture contents can be calculated through the above formula, and further, after the sample gas is introduced into the resistance-capacitance method humidity sensor, a plurality of moisture content measured values of the sample gas can be obtained, and the plurality of moisture content measurement values and the plurality of theoretical moisture contents have a one-to-one correspondence relationship, for example, the temperature of the constant temperature and humidity chamber is controlled to be 50 ℃, the relative humidity is controlled to be 90% RH, the theoretical moisture content of the sample gas generated by the constant temperature and humidity box under the condition is 11.131% through calculation according to a formula, after the sample gas generated under the condition is introduced into the resistance-capacitance method humidity sensor, it was found that the moisture content measured value was 11.02%, and the moisture content measured value at this time corresponded to the theoretical moisture content.
In the embodiment of the present disclosure, a moisture content fitting curve may be drawn in a coordinate system in which a moisture content measurement value is taken as an X axis and a theoretical moisture content is taken as a Y axis based on a plurality of moisture content measurement values and theoretical moisture contents of a sample gas having a one-to-one correspondence relationship, specifically, a moisture content fitting curve may be drawn by connecting a plurality of points obtained by taking a moisture content measurement value of a sample gas as an abscissa and a theoretical moisture content corresponding to the moisture content measurement value as an ordinate and taking the moisture content measurement value as the X axis and the theoretical moisture content as the Y axis in sequence, and fig. 2 shows a schematic diagram of a moisture content fitting curve provided according to an embodiment of the present disclosure.
Step 120: selecting first and second calibration points on said moisture content fit curve, wherein the moisture content measurements of said first calibration points are less than the moisture content measurements of said second calibration points.
In the embodiment of the present disclosure, the first calibration point and the second calibration point may be selected based on the range of the X-axis moisture content measurement value, since the moisture content of the gas is usually within 40%, the range of the moisture content measurement value may be selected to be 40%, in this case, the moisture content measurement value of the first calibration point may be selected to be 5% -7%, preferably, the moisture content measurement value of the first calibration point is selected to be 6%, and the moisture content measurement value of the second calibration point is selected to be 20%, and fig. 3 shows an example of the first calibration point and the second calibration point provided according to the embodiment of the present disclosure (the range of the X-axis moisture content measurement value is 40%, not shown in the figure). It should be noted that, in the embodiment of the present disclosure, different first calibration points and second calibration points may be selected by those skilled in the art according to actual needs, corresponding to different moisture content measurement ranges.
Step 130: and generating a first calibration model based on the coordinates of the first calibration point and the origin of coordinates, generating a second calibration model based on the coordinates of the second calibration point and the origin of coordinates, and generating a third calibration model based on the coordinates of the first calibration point and the second calibration point.
In the disclosed embodiment, the coordinates of the selected first calibration point are
Then, the first calibration model is generated based on the coordinates of the first calibration point and the origin of coordinates, which may be according to the coordinates of the first calibration point
Obtaining the slope of the connecting line of the first calibration point and the origin of coordinates
And based on said slope
Obtaining a first calibration model
。
In the disclosed embodiment, the coordinates of the selected second calibration point are
Then, the second calibration model is generated based on the coordinates of the second calibration point and the origin of coordinates, which may be according to the coordinates of the second calibration point
Obtaining the slope of the connecting line of the second calibration point and the origin of coordinates
And based on said slope
Obtaining a second calibration model
。
In the disclosed embodiment, the coordinates of the selected first calibration point are
The coordinates of the selected second index point are
Then, the third calibration model is generated based on the coordinates of the first calibration point and the second calibration point, which may be the coordinates of the first calibration point
And second index point coordinates
Carry-in function
To obtain a third calibration model
。
In the embodiment of the disclosure, the first calibration model, the second calibration model or the third calibration model may be used to calibrate the moisture content measurement value of the gas to be measured introduced into the capacitance-resistance humidity sensor, so that the moisture content measurement value is closer to the theoretical moisture content of the gas to be measured.
Step 140: and introducing the gas to be measured into the resistance-capacitance method humidity sensor, and calibrating the moisture content measured value of the gas to be measured by adopting the first calibration model, the second calibration model or the third calibration model.
In the embodiment of the disclosure, because the resistance-capacitance humidity sensor can reach the stable working state after being started for a period of time, after the gas to be measured is introduced into the resistance-capacitance humidity sensor, the moisture content measurement value of the gas to be measured is read after the moisture content measurement value provided by the resistance-capacitance humidity sensor is stable.
In an embodiment of the present disclosure, calibrating the moisture content measurement value of the gas to be measured by using the first calibration model, the second calibration model, or the third calibration model may include:
when the moisture content of the gas to be measured is measured
Moisture content measurement less than first calibration point
During the calibration, the first calibration model may be used to calibrate the moisture content measurement value of the gas to be measured, so as to obtain a moisture content measurement value closer to the theoretical moisture content of the gas to be measured. Specifically, the moisture content of the gas to be measured may be measured
Bringing into a first calibration model
To obtain a calibrated moisture content measurement for the gas to be measured
。
When the moisture content of the gas to be measured is measured
Is less than the second markFixed point moisture content measurement
And greater than or equal to the moisture content measurement of the first calibration point
The third calibration model may be used to calibrate the moisture content measurement of the gas to be measured. Specifically, the moisture content of the gas to be measured may be measured
Bringing into a third calibration model
To obtain a calibrated moisture content measurement of the gas to be measured
。
When the moisture content of the gas to be measured is measured
Moisture content measurement greater than or equal to the second calibration point
And calibrating the moisture content measurement value of the gas to be measured by adopting the second calibration model. Specifically, the moisture content of the gas to be measured may be measured
Bring into second calibration model
To obtain a calibrated moisture content measurement for the gas to be measured
。
In an embodiment of the present disclosure, calibrating the moisture content measurement value of the gas to be measured by using the first calibration model, the second calibration model, or the third calibration model, may further include:
when the moisture content measured value of the gas to be measured is smaller than or equal to that of the first calibration point, the first calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, when the moisture content measured value of the gas to be measured is smaller than that of the second calibration point and larger than that of the first calibration point, the third calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, and when the moisture content measured value of the gas to be measured is larger than or equal to that of the second calibration point, the second calibration model is adopted to calibrate the moisture content measured value of the gas to be measured.
In this disclosure, calibrating the moisture content measurement value of the gas to be measured by using the first calibration model, the second calibration model, or the third calibration model may further include:
when the moisture content measured value of the gas to be measured is smaller than or equal to that of the first calibration point, the first calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, when the moisture content measured value of the gas to be measured is smaller than or equal to that of the second calibration point and is larger than that of the first calibration point, the third calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, and when the moisture content measured value of the gas to be measured is larger than that of the second calibration point, the second calibration model is adopted to calibrate the moisture content measured value of the gas to be measured.
In this disclosure, calibrating the moisture content measurement value of the gas to be measured by using the first calibration model, the second calibration model, or the third calibration model may further include:
when the moisture content measured value of the gas to be measured is smaller than that of the first calibration point, the first calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, when the moisture content measured value of the gas to be measured is smaller than or equal to that of the second calibration point and is larger than or equal to that of the first calibration point, the third calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, and when the moisture content measured value of the gas to be measured is larger than that of the second calibration point, the second calibration model is adopted to calibrate the moisture content measured value of the gas to be measured.
In the embodiment of the disclosure, the first calibration model, the second calibration model and the third calibration model are generated by selecting the first and the second calibration points, and the most suitable calibration model can be selected according to the moisture content measurement value of the gas to be measured to calibrate the gas to be measured, so that the accuracy of the moisture content measurement value of the gas to be measured is effectively improved in the whole measurement range.
It should be noted that the present disclosure only provides a case where two calibration points are selected to generate three different calibration models to calibrate moisture content measurement values in different ranges, in practical operation, a person skilled in the art may also select N calibration points (N > 2) and corresponding N +1 calibration models to calibrate moisture content measurement values in different ranges as needed, and the specific selection of the calibration points and the generation method of the corresponding calibration models may refer to the description of the case where two calibration points are selected in the implementation of the present disclosure.
The above-mentioned embodiments are merely specific embodiments of the present disclosure, which are used for illustrating the technical solutions of the present disclosure and not for limiting the same, and the scope of the present disclosure is not limited thereto, although the present disclosure is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive of the technical solutions described in the foregoing embodiments or equivalent technical features thereof within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present disclosure, and should be construed as being included therein.
Claims (6)
1. A method of calibrating moisture content for a capacitance-resistance humidity sensor, comprising:
introducing a sample gas into a humidity sensor adopting a resistance-capacitance method, taking a point in a coordinate system taking a moisture content measured value as an X axis and a theoretical moisture content as a Y axis based on a plurality of moisture content measured values and theoretical moisture contents of the sample gas which have one-to-one correspondence relationship, taking the moisture content measured value of the sample gas as an abscissa and the theoretical moisture content corresponding to the moisture content measured value as an ordinate, and drawing a moisture content fitting curve through a plurality of points obtained by sequentially connecting;
selecting first and second calibration points on said moisture content fit curve, wherein the moisture content measurements of said first calibration points are less than the moisture content measurements of said second calibration points;
generating a first calibration model based on the coordinates of the first calibration point and the origin of coordinates, generating a second calibration model based on the coordinates of the second calibration point and the origin of coordinates, and generating a third calibration model based on the coordinates of the first calibration point and the second calibration point;
and introducing the gas to be measured into the resistance-capacitance method humidity sensor, and calibrating the moisture content measurement value of the gas to be measured by adopting the first calibration model, the second calibration model or the third calibration model, wherein the calibration comprises the following steps: when the moisture content measured value of the gas to be measured is smaller than that of the first calibration point, the first calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, when the moisture content measured value of the gas to be measured is smaller than that of the second calibration point and is larger than or equal to that of the first calibration point, the third calibration model is adopted to calibrate the moisture content measured value of the gas to be measured, and when the moisture content measured value of the gas to be measured is larger than or equal to that of the second calibration point, the second calibration model is adopted to calibrate the moisture content measured value of the gas to be measured.
2. The method of claim 1, wherein the sample gas is produced by a constant temperature and humidity chamber, and the theoretical moisture content of the sample gas is calculated based on the temperature and humidity of the sample gas by the following formula:
wherein,
in order to be at a theoretical moisture content,
is the saturated vapor pressure at the current temperature,
is the relative humidity of the sample gas,
is at the atmospheric pressure and is therefore,
the static pressure of the environment was collected for the sample gas.
3. The method of claim 1 wherein the moisture content measurement of the first calibration point is between 5% and 7% and the moisture content measurement of the second calibration point is 20% at a 40% range of moisture content measurements on the X-axis.
4. The method of claim 1, wherein generating a first calibration model based on the coordinates of the first calibration point and a coordinate origin comprises:
according to the coordinates of the first index point
Obtaining the slope of the connecting line of the first calibration point and the origin of coordinates
And based on said slope
Obtaining a first calibration model
。
5. The method of claim 1, wherein generating a second calibration model based on the coordinates of the second calibration point and a coordinate origin comprises:
according to the coordinates of the second index point
Obtaining the slope of the connecting line of the second calibration point and the origin of coordinates
And based on said slope
Obtaining a second calibration model
。
6. The method of claim 1, wherein generating a third calibration model based on coordinates of the first calibration point and the second calibration point comprises:
coordinate the first index point
And second index point coordinates
Carry-in function
To obtain a third calibration model
。
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| CN113156357B (en) * | 2020-12-31 | 2023-04-07 | 杭州拓深科技有限公司 | Sectional type current transformer correction method and device, electronic device and storage medium |
| CN113219130B (en) * | 2021-04-16 | 2022-08-02 | 中国农业大学 | Calibration method and test platform of multi-parameter gas sensor |
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| CN113267743A (en) * | 2021-06-30 | 2021-08-17 | 广东电网有限责任公司 | Method and instrument for checking DC voltage transformer |
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