CN118111662B - Wind tunnel temperature field test consistency calibration data processing method - Google Patents
Wind tunnel temperature field test consistency calibration data processing method Download PDFInfo
- Publication number
- CN118111662B CN118111662B CN202410501238.6A CN202410501238A CN118111662B CN 118111662 B CN118111662 B CN 118111662B CN 202410501238 A CN202410501238 A CN 202410501238A CN 118111662 B CN118111662 B CN 118111662B
- Authority
- CN
- China
- Prior art keywords
- temperature
- channel
- reference temperature
- signal data
- data
- 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.)
- Active
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 53
- 238000003672 processing method Methods 0.000 title description 6
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 60
- 230000004044 response Effects 0.000 claims abstract description 32
- 238000000034 method Methods 0.000 claims abstract description 29
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 238000012937 correction Methods 0.000 claims abstract description 5
- 238000005259 measurement Methods 0.000 description 17
- 238000010586 diagram Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000004075 alteration Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical compound [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 229910052697 platinum Inorganic materials 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000011077 uniformity evaluation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M9/00—Aerodynamic testing; Arrangements in or on wind tunnels
- G01M9/06—Measuring arrangements specially adapted for aerodynamic testing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K15/00—Testing or calibrating of thermometers
- G01K15/002—Calibrated temperature sources, temperature standards therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K15/00—Testing or calibrating of thermometers
- G01K15/005—Calibration
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M9/00—Aerodynamic testing; Arrangements in or on wind tunnels
- G01M9/06—Measuring arrangements specially adapted for aerodynamic testing
- G01M9/065—Measuring arrangements specially adapted for aerodynamic testing dealing with flow
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The invention discloses a method for processing wind tunnel temperature field test consistency calibration data, which relates to the field of wind tunnel tests and comprises the following steps: step S101: obtaining reference temperature test signal data, and calculating to obtain reference temperature signal data based on the reference temperature test signal data; step S102: obtaining response data of each channel in the multi-channel temperature measurement system, and fitting and calculating the response data of each channel with reference temperature signal data respectively to obtain a relation model between each channel and the reference temperature signal data in the multi-channel temperature measurement system; step S103: in the application of the uniformity of the wind tunnel temperature field, the temperature measured value corresponding to each channel is obtained based on the multi-channel temperature measurement system, and the uniformity correction result of the temperature of each channel in the multi-channel temperature measurement system is obtained by calculation based on the temperature measured value corresponding to each channel and the relation model.
Description
Technical Field
The invention relates to the field of wind tunnel tests, in particular to a wind tunnel temperature field test consistency calibration data processing method.
Background
In the wind tunnel flow field calibration test, the temperature uniformity test of the cross section air flow of the wind tunnel stabilizing section or the test section is usually carried out by adopting a multi-channel temperature measurement system to realize the temperature field uniformity evaluation. The wind tunnel temperature field test technology is characterized by a large number of channels and high test precision.
The uniformity test of the temperature field focuses on the difference of temperature distribution of different measuring point positions of the cross section of the wind tunnel, and in order to effectively test the actual physical temperature difference of different measuring points, the consistent response characteristics of each channel of the temperature measurement system should be ensured, namely, the response results of the temperature measurement systems of different channels should be ensured to be consistent under the same temperature condition.
In order to meet the measurement accuracy requirement, the accuracy level of the adopted temperature measurement system is ensured by a metering means with a high reference level. The conventional engineering thought is to ensure the precision of each temperature measurement channel, so that the temperature measurement precision requirements of different measuring point positions can be met. However, this method has a problem in that different temperature measurement channels are calibrated channel by channel, and the response results for the same temperature reference are not synchronized at the same time. The different calibration processes can bring about the influence of differences in environment, equipment, personnel, methods and the like, and the differences are not negligible for the high-precision measurement technology.
Disclosure of Invention
The invention aims to provide a calibration method mainly focusing on consistency characteristics among different channels of a temperature measurement system, and the reliability and the effectiveness of data of uniformity test results of a wind tunnel temperature field are ensured.
In order to achieve the above object, the present invention provides a method for processing wind tunnel temperature field test consistency calibration data, the method comprising:
Step S101: obtaining reference temperature test signal data of the temperature consistency calibration device, and calculating to obtain reference temperature signal data based on the reference temperature test signal data; the reference temperature signal data function is to provide uniform measurement reference signals for different measurement channels when carrying out consistency calibration of a wind tunnel temperature uniformity measurement system;
Step S102: obtaining response data of each channel in the multi-channel temperature measurement system, and fitting and calculating the response data of each channel with reference temperature signal data respectively to obtain a relation model between each channel and the reference temperature signal data in the multi-channel temperature measurement system;
Step S103: in the application of the uniformity of the wind tunnel temperature field, the temperature measured value corresponding to each channel is obtained based on the multi-channel temperature measurement system, and the consistency correction result of the temperatures of all channels in the multi-channel temperature measurement system is obtained by calculation based on the temperature measured value corresponding to each channel and the relation model between each channel and the reference temperature signal data.
The wind tunnel section temperature measurement technology is characterized by a large number and high precision. In order to meet the measurement accuracy requirement, the accuracy level of the adopted temperature measurement system is ensured by a metering means with a high reference level. The conventional engineering thought is to ensure the precision of each temperature measurement channel, so that the temperature measurement precision requirements of different measuring point positions can be met. However, this method has a problem in that different temperature measurement channels are calibrated channel by channel, and the response results for the same temperature reference are not synchronized at the same time. In the different calibration processes, the influence of differences in environment, equipment, personnel, methods and the like can be brought, for the high-precision measurement technology, the difference is not ignored, the method firstly obtains the reference temperature test signal data of the temperature consistency calibration device, the reference temperature test signal data is obtained through calculation, then the response data of each channel in the multi-channel temperature measurement system is obtained, the response data of each channel is respectively subjected to fitting calculation with the reference temperature signal data, a relation model between each channel and the reference temperature signal data in the multi-channel temperature measurement system is obtained, and the consistency correction result of the temperatures of each channel in the multi-channel temperature measurement system is obtained by utilizing the relation model.
Wherein, each channel of the temperature measurement system has different response characteristics, if different measurement channels are used, calibration is completed in batches channel by channel, and the influence of differences in environment, equipment, personnel, methods and the like on the calibration result is inevitably introduced. The calibration mode in the invention is based on a unified temperature reference, and simultaneously, the calibration process of each measurement channel is synchronously completed. Such calibration results can more truly reflect the consistency characteristics between different measurement channels.
Aiming at the problem of consistency characteristic calibration among different channels of a wind tunnel temperature uniformity measurement system, the invention realizes the consistency calibration of the multi-channel temperature measurement system by the calibration device which has a unified temperature reference and calibrates different measurement channels of the temperature measurement system, thereby avoiding the influence of differences in equipment, personnel, methods and the like caused by different calibration processes.
In some embodiments, the reference temperature test signal data in step S101 is obtained by:
Acquiring and obtaining a reference temperature physical parameter based on data acquisition equipment configured by the temperature consistency calibration device;
And converting the reference temperature physical parameter into an electric signal to obtain reference temperature test signal data.
The device comprises a temperature consistency calibration device, a sensor, a transmitter and the like, wherein the sensor, the transmitter and the like are configured based on the temperature consistency calibration device, conversion from a reference temperature physical parameter to an electric signal is realized, and calibration device reference temperature test signal data is acquired based on a high-precision data acquisition device.
In some embodiments, in step S101, the reference temperature accuracy level is further improved by using an average distribution model to calculate and obtain the reference temperature signal data based on the reference temperature test signal data.
In some embodiments, the reference temperature signal data is calculated by:
；
Wherein, T x (T) is reference temperature signal data, T xj (T) is reference temperature test signal data, n is the number of reference temperature test signals, T is signal time sequence, j is the channel number of the reference temperature test signals.
In some embodiments, the response data is obtained in step S102 in the following manner:
acquiring and obtaining a temperature response physical parameter based on data acquisition equipment configured by a multichannel temperature measurement system;
and converting the temperature response physical parameters into electric signals to obtain response data of each channel in the multi-channel temperature measurement system.
The conversion from the reference temperature physical parameter to the electric signal is realized through devices such as a sensor, a transmitter and the like configured by the multichannel temperature measurement system, and response data of the multichannel temperature measurement system of the calibrating device is acquired based on the high-precision data acquisition device.
In some embodiments, the relationship model between each channel of the multi-channel temperature measurement system and the reference temperature signal data in step S102 is obtained by:
constructing a high-order polynomial model;
Presetting the order of a high-order polynomial model;
And calculating each order coefficient of the high-order polynomial model by adopting a least square method based on the response data of each channel and the reference temperature signal data to obtain a relation model between each channel and the reference temperature signal data in the multi-channel temperature measurement system.
In some embodiments, the model of the relationship between each channel in the multi-channel temperature measurement system and the reference temperature signal data is:
；
Wherein T x (T) is reference temperature signal data, U (T) is response data of the multichannel temperature measurement system, a k is each order coefficient of the high-order polynomial model, k is the order of the high-order polynomial model, and m is the order upper limit value of the high-order polynomial model.
The one or more technical schemes provided by the invention have at least the following technical effects or advantages:
the wind tunnel temperature field test consistency calibration data processing method provided by the invention can be used for more accurately acquiring the wind tunnel temperature field uniformity data.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention;
FIG. 1 is a schematic block diagram of a step flow of a wind tunnel temperature field test consistency calibration data processing method provided by the invention;
FIG. 2 is a schematic block diagram of the substep flow of step S101;
FIG. 3 is a schematic block diagram of the substep flow of step S102;
fig. 4 is a schematic block diagram of the substep flow of step S103.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. In addition, the embodiments of the present invention and the features in the embodiments may be combined with each other without collision.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than within the scope of the description, and therefore the scope of the invention is not limited to the specific embodiments disclosed below.
Embodiment one;
referring to fig. 1, fig. 1 is a schematic block diagram of a step flow of a method for processing wind tunnel temperature field test consistency calibration data according to the present invention. The method comprises steps S101-S103.
Step S101, acquiring reference temperature test signal data of a temperature consistency calibration device, and calculating and acquiring the reference temperature signal data according to the reference temperature test signal data, wherein the temperature consistency calibration device has the following functions: based on the unified measurement reference temperature signal, the calibration of the temperature measurement systems of a plurality of channels is synchronously realized, and the influence of the aspects of environment, equipment, personnel, methods and the like caused by batch and time-division calibration on the calibration result is avoided. The hardware comprises the following components: the system comprises a reference temperature signal generator, a high-precision temperature control system, a heat preservation system and a reference temperature test system. The technical indexes can be as follows: the temperature calibration range is 77K-323K, and the static temperature accuracy is better than 50mK. Specific technical indexes can be adjusted according to practical application, and the embodiment of the application is not limited. The temperature consistency calibration device is CN113049145A, which is equipment for carrying out full-system wide low-temperature comprehensive calibration on a temperature measurement system, and the specific functions and contents of the equipment are not described in detail.
In the present invention, the reference temperature signal data may be acquired using an average distribution model, and specifically, may be expressed as a model equation:
；
Wherein, T x (T) is reference temperature signal data, T xj (T) is reference temperature test signal data, n is the number of reference temperature test signals, T is signal time sequence, j is the channel number of the reference temperature test signals.
Thus, the reference temperature signal data can be obtained through calculation by the model equation.
Step S102, response data of the multi-channel temperature measurement system are obtained, fitting calculation is carried out on the response data of the multi-channel temperature measurement system and reference temperature signal data respectively according to the response data of the multi-channel temperature measurement system, and a relation model of each channel temperature measurement system and the reference temperature signal is obtained. Wherein, multichannel temperature measurement system's function does: the multichannel temperature measurement system is an evaluation means for the uniformity of the wind tunnel temperature field. The hardware comprises the following components: consists of a sensor (platinum resistor/thermocouple), a conditioner and a temperature collector. And determining the number of channels of the temperature measurement system according to the size of the wind tunnel section and the spatial resolution requirement of the temperature field. The number of channels of the wind tunnel temperature field uniformity measurement system is generally in a range of 4-50. Measurement accuracy requirements: the measurement accuracy of each channel of the multichannel temperature measurement system is generally 0.1-0.5 ℃. Specific design parameters can be adjusted according to practical applications, and the embodiment of the invention is not limited.
In the present invention, a higher order polynomial model may be used to obtain a preset fitting equation, which may be specifically expressed as a model equation:
；
Wherein U (t) is response data of the multichannel temperature measurement system, a k is each order coefficient of the high-order polynomial model, k is the order of the high-order polynomial model, and m is the upper limit value of the order of the high-order polynomial model.
In the invention, the model between the response data of each channel temperature measurement system and the reference temperature signal data can be obtained by firstly presetting a higher order polynomial model order and adopting a least square method to identify and calculate the coefficients of each order of the higher order polynomial model. Fitting errors between the model and the reference temperature signal can be obtained based on the model and the response data of the channel temperature measurement system. The fitting error should be at least an order of magnitude higher than the temperature measurement system accuracy requirements. If not, the higher order model order is increased until the accuracy requirement is met.
Step S103, in the practical application of the uniformity of the wind tunnel temperature field, based on the temperature measured value obtained by the multi-channel temperature measurement system, the temperature measured value is directly substituted into the relation model obtained in the step S103, and then the temperature uniformity correction result of each measurement channel can be obtained.
In summary, the wind tunnel temperature field test consistency calibration and data processing method provided by the invention can more accurately acquire wind tunnel temperature field uniformity data.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (7)
1. A method for processing wind tunnel temperature field test consistency calibration data, the method comprising:
step S101: obtaining reference temperature test signal data of the temperature consistency calibration device, and calculating to obtain reference temperature signal data based on the reference temperature test signal data;
step S102: synchronously obtaining response data of each channel in the multichannel temperature measurement system, respectively synchronously performing fitting calculation on the response data of each channel and reference temperature signal data, and obtaining a relation model between each channel and the reference temperature signal data in the multichannel temperature measurement system;
Step S103: in the application of the uniformity of the wind tunnel temperature field, the temperature measured value corresponding to each channel is obtained based on the multi-channel temperature measurement system, and the consistency correction result of the temperatures of all channels in the multi-channel temperature measurement system is obtained by calculation based on the temperature measured value corresponding to each channel and the relation model between each channel and the reference temperature signal data.
2. The method for processing the calibration data for the consistency of the wind tunnel temperature field test according to claim 1, wherein the reference temperature test signal data in the step S101 is obtained by:
Acquiring and obtaining a reference temperature physical parameter based on data acquisition equipment configured by the temperature consistency calibration device;
And converting the reference temperature physical parameter into an electric signal to obtain reference temperature test signal data.
3. A method for processing calibration data for consistency of wind tunnel temperature field test according to claim 1, wherein in step S101, reference temperature signal data is obtained by calculating an average distribution model based on the reference temperature test signal data.
4. A method for processing wind tunnel temperature field test consistency calibration data according to claim 3, wherein the reference temperature signal data is calculated by the following steps:
Wherein, T x (T) is reference temperature signal data, T xj (T) is reference temperature test signal data, n is the number of reference temperature test signals, T is signal time sequence, j is the channel number of the reference temperature test signals.
5. The method for processing wind tunnel temperature field test consistency calibration data according to claim 1, wherein the response data in step S102 is obtained by:
acquiring and obtaining a temperature response physical parameter based on data acquisition equipment configured by a multichannel temperature measurement system;
and converting the temperature response physical parameters into electric signals to obtain response data of each channel in the multi-channel temperature measurement system.
6. The method for processing the calibration data for the consistency of the wind tunnel temperature field test according to claim 1, wherein the relationship model between each channel of the multichannel temperature measurement system and the reference temperature signal data in step S102 is obtained by:
constructing a high-order polynomial model;
Presetting the order of a high-order polynomial model;
And calculating each order coefficient of the high-order polynomial model by adopting a least square method based on the response data of each channel and the reference temperature signal data to obtain a relation model between each channel and the reference temperature signal data in the multi-channel temperature measurement system.
7. The method for processing the calibration data for the consistency of the wind tunnel temperature field test according to claim 6, wherein a relation model between each channel in the multichannel temperature measurement system and reference temperature signal data is as follows:
Wherein T x (T) is reference temperature signal data, U (T) is response data of the multichannel temperature measurement system, a k is each order coefficient of the high-order polynomial model, k is the order of the high-order polynomial model, and m is the order upper limit value of the high-order polynomial model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410501238.6A CN118111662B (en) | 2024-04-25 | 2024-04-25 | Wind tunnel temperature field test consistency calibration data processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410501238.6A CN118111662B (en) | 2024-04-25 | 2024-04-25 | Wind tunnel temperature field test consistency calibration data processing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118111662A CN118111662A (en) | 2024-05-31 |
| CN118111662B true CN118111662B (en) | 2024-07-19 |
Family
ID=91219314
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410501238.6A Active CN118111662B (en) | 2024-04-25 | 2024-04-25 | Wind tunnel temperature field test consistency calibration data processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118111662B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110542535A (en) * | 2019-07-29 | 2019-12-06 | 中国空气动力研究与发展中心 | Normalization method for pulse wind tunnel multi-sensor negative pressure test system |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4532601A (en) * | 1982-08-19 | 1985-07-30 | Westinghouse Electric Corp. | Automatic temperature calibration method and apparatus |
| JP2013079878A (en) * | 2011-10-04 | 2013-05-02 | Japan Aerospace Exploration Agency | Method and apparatus for measuring fluid |
| WO2019026323A1 (en) * | 2017-08-01 | 2019-02-07 | 株式会社トライアンドイー | Temperature sensor calibration method |
| CN110095248B (en) * | 2019-04-28 | 2020-08-28 | 中国科学院力学研究所 | High-frequency induction wind tunnel flow field imbalance diagnosis system and method |
| CN113049217A (en) * | 2021-03-29 | 2021-06-29 | 中国空气动力研究与发展中心设备设计与测试技术研究所 | Dynamic monitoring method for multi-state information of flexible plate structure of large wind tunnel |
| CN113418635A (en) * | 2021-06-28 | 2021-09-21 | 谢嘉仪 | High-precision temperature measuring method and measuring system |
| CN114088336B (en) * | 2022-01-24 | 2022-04-08 | 中国空气动力研究与发展中心设备设计与测试技术研究所 | Method for synchronously measuring temperature and flow state by using fluorescent microwire |
| CN114441090B (en) * | 2022-04-11 | 2022-06-17 | 中国空气动力研究与发展中心高速空气动力研究所 | Quick response pressure-sensitive paint temperature effect correction method |
| CN115060456A (en) * | 2022-07-06 | 2022-09-16 | 湖南凌翔磁浮科技有限责任公司 | Automatic calibration method and system for sensor of universal wind tunnel |
| CN115962867B (en) * | 2022-10-25 | 2024-01-30 | 中国科学院国家空间科学中心 | Data acquisition calibration method and system of space science experiment temperature measurement system |
| CN116465517A (en) * | 2023-03-30 | 2023-07-21 | 中国航发沈阳发动机研究所 | Error calibration system and method for multichannel data acquisition device for thermocouple |
| CN116739226A (en) * | 2023-08-16 | 2023-09-12 | 中国空气动力研究与发展中心设备设计与测试技术研究所 | Wind tunnel test data quality assessment method based on error propagation |
-
2024
- 2024-04-25 CN CN202410501238.6A patent/CN118111662B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110542535A (en) * | 2019-07-29 | 2019-12-06 | 中国空气动力研究与发展中心 | Normalization method for pulse wind tunnel multi-sensor negative pressure test system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118111662A (en) | 2024-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111006775A (en) | Distance compensation method based on uncooled infrared thermal imaging temperature measurement technology | |
| CN108152325B (en) | Method for calibrating heat conductivity instrument based on heat shield plate method | |
| CN103983361A (en) | Online network temperature-measuring thermal imager calibration method | |
| CN106017690A (en) | Multi-target automatic distinguishing temperature measurement method and system | |
| CN115962867B (en) | Data acquisition calibration method and system of space science experiment temperature measurement system | |
| CN112345813A (en) | Dynamic compensation method for dynamic measurement precision | |
| CN111352098B (en) | Temperature drift calibration method and system for ToF camera | |
| CN116202656A (en) | Method and system for batch calibration of semiconductor temperature sensors | |
| CN118225278B (en) | Batch test method for temperature sensor chips | |
| CN116337783A (en) | Multi-point calibration method and system for gas analyzer | |
| CN103278311A (en) | Uniformity measurement device and method for infrared radiation surface | |
| CN110617889B (en) | High-stability testing method applied to synthetic aperture microwave radiometer | |
| CN114235167B (en) | Temperature compensation method, thermal imaging device and computer readable storage medium | |
| CN118111662B (en) | Wind tunnel temperature field test consistency calibration data processing method | |
| CN106225992A (en) | Based on pressure transmitter Performance Test System and method | |
| CN113029394B (en) | Temperature measuring module temperature calibration method and system | |
| CN117969935A (en) | Current measurement method, device and test equipment under ATE leakage current scene | |
| KR102055055B1 (en) | Electronic Flow Meter and The Measurement Error Correcting Methode | |
| CN111623879B (en) | Test method for refrigeration type infrared detector of infrared body temperature screening system | |
| CN112611482A (en) | Method for calibrating temperature sensor of intelligent equipment | |
| CN114139382A (en) | Calibration method, system and storage medium of analog quantity basic module | |
| CN113865724B (en) | Multi-scene blackbody radiation source of electric power system and temperature measurement processing method | |
| CN116007824B (en) | Error correction method and module of silicon piezoresistance type air pressure sensing module | |
| CN216050370U (en) | Automatic calibrating device for digital display thermometer | |
| CN117490859B (en) | Ambient temperature compensation method and device for radiation thermometer |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |