CN111380648A - Self-calibration pressure sensor and self-calibration method thereof - Google Patents
Self-calibration pressure sensor and self-calibration method thereof Download PDFInfo
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- CN111380648A CN111380648A CN202010228722.8A CN202010228722A CN111380648A CN 111380648 A CN111380648 A CN 111380648A CN 202010228722 A CN202010228722 A CN 202010228722A CN 111380648 A CN111380648 A CN 111380648A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L25/00—Testing or calibrating of apparatus for measuring force, torque, work, mechanical power, or mechanical efficiency
Abstract
The invention discloses a self-calibration pressure sensor, which comprises a pressure sensing module, a pressure sensor module and a pressure sensor module, wherein the pressure sensing module is used for sensing pressure change and sending a pressure sensing signal; the pressure value transmitting module is used for converting a pressure value according to the pressure sensing signal; the mechanical simulation module is used for recording the mechanical variable quantity of the pressure sensing module and simulating; and the pressure calibration module is used for calibrating the conversion function of the pressure value transmitting module according to the result converted by the pressure value transmitting module after the simulation of the mechanical simulation module and the result converted by the pressure value transmitting module in normal measurement. The invention can improve the defects of the prior art, does not need an additional calibration device and is convenient for self-calibration of the pressure sensor.
Description
Technical Field
The invention relates to an electrical element, in particular to a self-calibration pressure sensor and a self-calibration method thereof.
Background
The pressure sensor is a commonly used detection device, and the pressure sensor needs to be calibrated periodically in order to ensure the accuracy of pressure measurement. In the prior art, in order to calibrate the pressure sensor, off-line calibration or on-line calibration is required to be performed through an additional standard calibration device. This results in a complicated pressure sensor calibration procedure requiring dedicated time for shutdown calibration.
Disclosure of Invention
The invention aims to provide a self-calibration pressure sensor and a self-calibration method thereof, which can solve the defects of the prior art, do not need an additional calibration device and are convenient for self-calibration of the pressure sensor.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
A self-calibrating pressure sensor, comprising,
the pressure sensing module is used for sensing pressure change and sending a pressure sensing signal;
the pressure value transmitting module is used for converting a pressure value according to the pressure sensing signal;
the mechanical simulation module is used for recording the mechanical variable quantity of the pressure sensing module and simulating;
and the pressure calibration module is used for calibrating the conversion function of the pressure value transmitting module according to the result converted by the pressure value transmitting module after the simulation of the mechanical simulation module and the result converted by the pressure value transmitting module in normal measurement.
A self-calibration method of the self-calibration pressure sensor comprises the following steps:
A. the pressure sensing module senses pressure change and sends a pressure sensing signal;
B. the pressure value transmitting module converts a pressure value according to the pressure sensing signal;
C. the mechanical simulation module records the mechanical variation of the pressure sensing module in the past;
D. when the self-calibration pressure sensor reaches a calibration period, the mechanical simulation module sequentially extracts recorded mechanical variation, the value of the mechanical variation is taken as the maximum value after the mechanical variation is extracted each time, and then the mechanical variation is reduced for a plurality of times to perform simulation induction on the pressure induction module;
E. the pressure calibration module calibrates the conversion function of the pressure value transmitting module according to the simulation result converted by the pressure value transmitting module and the actual result converted by the corresponding mechanical variation value
Preferably, in step D, the pressure sensing module is subjected to analog sensing by reducing the mechanical variation for 3 times, and the mechanical variation of the three times of simulation is 70%, 50% and 20% of the value of the mechanical variation respectively.
Preferably, in step E, the calibrating the scaling function of the pressure value transmitting module comprises the steps of,
e1, fitting according to the three-time simulation of each mechanical variation value to respectively obtain a 70% simulation curve, a 50% simulation curve and a 20% simulation curve;
e2, synchronously traversing the three curves, and marking the nonlinear related areas in the curves;
e3, re-segmenting the conversion function according to the marked areas;
e4, correcting the conversion function section of the nonlinear correlation area to enable the linearity of the three curves to reach the maximum value.
Preferably, the step of modifying the segment of the transfer function in step E4 includes the steps of,
e41, selecting a plurality of groups of marking points on the nonlinear related areas of the three curves, wherein the x-axis coordinates of each group of marking points are the same, and the difference ratio of the y-axis coordinate values of each group of marking points is 2: 3;
e42, correcting the conversion function section by taking the mark point as a reference point, ensuring that the reference point does not change in the correction process, taking the reference point as a center, ensuring that the curve change rates of relevant areas on two sides of the reference point are the same, and ensuring that the length of the relevant areas is 50% of the distance between two adjacent reference points;
e43, smoothing the conversion function segment corrected in the step E42.
Adopt the beneficial effect that above-mentioned technical scheme brought to lie in: the invention uses the detection value in the normal detection process as the calibration basis, simulates the mechanical variation quantity value by different percentages through the mechanical simulation module, and then corrects the nonlinear correlation areas on different pressure value curves by fitting the pressure value curve, thereby realizing the calibration of the pressure sensor. The whole calibration process can complete the self-calibration process of the pressure sensor without using an additional standard pressure source and a detection period and without long-time shutdown, and is convenient and quick. In the process of calibrating the conversion function, the conversion function is segmented, so that the corrected calculation amount is reduced, and the local drift of the conversion function caused by calibration is reduced. In the correction process, the problem of overlong correction time caused by repeated iterative correction is avoided by using local equal change rate correction based on the reference point, so that the sensor is truly self-calibrated without stopping.
Drawings
FIG. 1 is a block diagram of one embodiment of the present invention.
In the figure: 1. a pressure sensing module; 2. a pressure value transmitting module; 3. a mechanical simulation module; 4. a pressure calibration module.
Detailed Description
Referring to FIG. 1, one embodiment of the present invention includes
The pressure sensing module 1 is used for sensing pressure change and sending a pressure sensing signal;
the pressure value transmitting module 2 is used for converting a pressure value according to the pressure sensing signal;
the mechanical simulation module 3 is used for recording the mechanical variation of the pressure sensing module 1 and simulating;
and the pressure calibration module 4 is used for calibrating the conversion function of the pressure value transmission module 2 according to the result converted by the pressure value transmission module 2 after the simulation of the mechanical simulation module 3 and the result converted by the pressure value transmission module 2 in normal measurement.
A self-calibration method of the self-calibration pressure sensor comprises the following steps:
A. the pressure sensing module 1 senses pressure change and sends a pressure sensing signal;
B. the pressure value transmitting module 2 converts the pressure sensing signal into a pressure value;
C. the mechanical simulation module 3 records the mechanical variation of the pressure sensing module 1 in the past;
D. when the self-calibration pressure sensor reaches a calibration period, the mechanical simulation module 3 sequentially extracts the recorded mechanical variation, takes the value of the mechanical variation as the maximum value after extracting the mechanical variation each time, and then reduces the mechanical variation for a plurality of times to perform simulation induction on the pressure induction module 1;
E. the pressure calibration module 4 calibrates the conversion function of the pressure value transmission module 2 according to the simulation result converted by the pressure value transmission module 2 and the actual result converted by the corresponding mechanical variation value.
And D, performing simulation sensing on the pressure sensing module 1 by reducing the mechanical variation for 3 times, wherein the mechanical variation of the three-time simulation is 70%, 50% and 20% of the value of the mechanical variation respectively.
In step E, the calibration of the conversion function of the pressure value transmitter module 2 comprises the following steps,
e1, fitting according to the three-time simulation of each mechanical variation value to respectively obtain a 70% simulation curve, a 50% simulation curve and a 20% simulation curve;
e2, synchronously traversing the three curves, and marking the nonlinear related areas in the curves;
e3, re-segmenting the conversion function according to the marked areas;
e4, correcting the conversion function section of the nonlinear correlation area to enable the linearity of the three curves to reach the maximum value.
In step E4, the correction of the conversion function section includes the steps of,
e41, selecting a plurality of groups of marking points on the nonlinear related areas of the three curves, wherein the x-axis coordinates of each group of marking points are the same, and the difference ratio of the y-axis coordinate values of each group of marking points is 2: 3;
e42, correcting the conversion function section by taking the mark point as a reference point, ensuring that the reference point does not change in the correction process, taking the reference point as a center, ensuring that the curve change rates of relevant areas on two sides of the reference point are the same, and ensuring that the length of the relevant areas is 50% of the distance between two adjacent reference points;
e43, smoothing the conversion function segment corrected in the step E42.
Because the problems of drift, nonlinear distortion and the like of the pressure sensor generally have inertia, for this feature, before the conversion function section is corrected in step E4, the history correction data having the largest similarity with the marked curve nonlinear correlation region is searched for by retrieving the history correction data, and the conversion function section is pre-corrected according to the retrieval result, the pre-correction being linearly related to the history correction, and the pre-correction being 50% of the history correction. By pre-correcting the conversion function, the interference caused by the correction process to the conversion function can be reduced, and the speed of the smoothing processing of the conversion function is improved.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, are merely for convenience of description of the present invention, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. A self-calibrating pressure sensor, characterized by: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the pressure sensing module (1) is used for sensing pressure change and sending a pressure sensing signal;
the pressure value transmitting module (2) is used for converting a pressure value according to the pressure sensing signal;
the mechanical simulation module (3) is used for recording the mechanical variable quantity of the pressure sensing module (1) and simulating;
and the pressure calibration module (4) is used for calibrating the conversion function of the pressure value transmitting module (2) according to the result of the conversion of the pressure value transmitting module (2) after the simulation of the mechanical simulation module (3) and the result of the conversion of the pressure value transmitting module (2) in normal measurement.
2. A method of self-calibrating a pressure sensor according to claim 1, characterized in that it comprises the following steps:
A. the pressure sensing module (1) senses pressure change and sends a pressure sensing signal;
B. the pressure value transmitting module (2) converts a pressure value according to the pressure sensing signal;
C. the mechanical simulation module (3) records the mechanical variation of the pressure sensing module (1) in the past;
D. when the self-calibration pressure sensor reaches a calibration period, the mechanical simulation module (3) sequentially extracts recorded mechanical variation, the value of the mechanical variation is taken as the maximum value after the mechanical variation is extracted each time, and then the mechanical variation is reduced for a plurality of times to perform simulation induction on the pressure induction module (1);
E. the pressure calibration module (4) calibrates the conversion function of the pressure value transmitting module (2) according to the simulation result converted by the pressure value transmitting module (2) and the actual result converted by the corresponding mechanical variation value.
3. The self-calibration method of a self-calibrating pressure sensor according to claim 2, characterized in that: and D, performing simulation sensing on the pressure sensing module (1) by reducing the mechanical variation for 3 times, wherein the mechanical variation of the three-time simulation is 70%, 50% and 20% of the value of the mechanical variation respectively.
4. The self-calibration method of a self-calibrating pressure sensor according to claim 3, characterized in that: in the step E, the calibration of the conversion function of the pressure value transmitting module (2) comprises the following steps,
e1, fitting according to the three-time simulation of each mechanical variation value to respectively obtain a 70% simulation curve, a 50% simulation curve and a 20% simulation curve;
e2, synchronously traversing the three curves, and marking the nonlinear related areas in the curves;
e3, re-segmenting the conversion function according to the marked areas;
e4, correcting the conversion function section of the nonlinear correlation area to enable the linearity of the three curves to reach the maximum value.
5. The self-calibration method of a self-calibrating pressure sensor according to claim 4, characterized in that: in step E4, the correction of the conversion function section includes the steps of,
e41, selecting a plurality of groups of marking points on the nonlinear related areas of the three curves, wherein the x-axis coordinates of each group of marking points are the same, and the difference ratio of the y-axis coordinate values of each group of marking points is 2: 3;
e42, correcting the conversion function section by taking the mark point as a reference point, ensuring that the reference point does not change in the correction process, taking the reference point as a center, ensuring that the curve change rates of relevant areas on two sides of the reference point are the same, and ensuring that the length of the relevant areas is 50% of the distance between two adjacent reference points;
e43, smoothing the conversion function segment corrected in the step E42.
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