CN109269715A - A kind of test method of organism pressure sensor - Google Patents
A kind of test method of organism pressure sensor Download PDFInfo
- Publication number
- CN109269715A CN109269715A CN201811058437.5A CN201811058437A CN109269715A CN 109269715 A CN109269715 A CN 109269715A CN 201811058437 A CN201811058437 A CN 201811058437A CN 109269715 A CN109269715 A CN 109269715A
- Authority
- CN
- China
- Prior art keywords
- value
- pressure
- group
- electrical signals
- organism
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measuring Fluid Pressure (AREA)
Abstract
The present invention provides a kind of test methods of organism pressure sensor, comprising: applies identical pressure for organism pressure sensor to be tested and standard pressure transducer, while acquiring the pressure value of pressure sensor to be tested and the value of electrical signals of standard pressure transducer；Pressure value and multiple groups value of electrical signals described in multiple groups are acquired, every group of pressure value includes multiple pressure values, and every group of value of electrical signals includes multiple value of electrical signals；According to the value of electrical signals of each group, the Trendline fitting degree index of each group is calculated；It selects Trendline fitting degree index closest to the one group of pressure value and value of electrical signals of preset value, establishes the pressure of organism pressure sensor to be tested and the mapping relations of electric signal；This method can carry out validity test to organism pressure sensor.
Description
Technical field
The present invention relates to the field of medical instrument technology more particularly to a kind of test methods of organism pressure sensor.
Background technique
Applied to the organism pressure sensor on Rigiscan, pressure when telotism can be experienced, and turned
It is changed to electric signal to be exported, in order to obtain the relationship between electric signal and pressure value, needs to pass organism pressure before factory
Sensor is tested.
Summary of the invention
It is an object of the invention to be directed to the above-mentioned testing requirement in the prior art for organism pressure sensor, propose
A kind of test method of organism pressure sensor can carry out validity test to organism pressure sensor.
A kind of test method of organism pressure sensor, comprising:
Apply identical pressure for organism pressure sensor to be tested and standard pressure transducer, while acquiring pressure testing to be measured
The pressure value of force snesor and the value of electrical signals of standard pressure transducer；
Pressure value and multiple groups value of electrical signals described in multiple groups are acquired, every group of pressure value includes multiple pressure values, every group of electric signal
Value includes multiple value of electrical signals；
According to the value of electrical signals of each group, the Trendline fitting degree index of each group is calculated；
It selects Trendline fitting degree index closest to the one group of pressure value and value of electrical signals of preset value, establishes life to be tested
The pressure of object pressure sensor and the mapping relations of electric signal.
Further, it in one group of test, is stepped up as organism pressure sensor to be tested and standard pressure transducer
Apply identical pressure, so that collected every group of pressure value is incremented by according to preset step-length.
Further, the preset step-length is 40g.
Further, the range of every group of pressure value is 200g to 605g.
Further, according to the value of electrical signals of each group, the Trendline fitting degree index of each group is calculated, comprising:
According to the value of electrical signals of each group, each group square sum of total departure and regression sum of square are calculated；
According to the square sum of total departure and regression sum of square, the Trendline fitting degree index of each group is calculated.
Further, the square sum of total departure is calculated according to the following formula:
Wherein, SST is square sum of total departure, yiFor collected value of electrical signals,For the electric signal average value in the group.
Further, the regression sum of square is calculate by the following formula；
Wherein, SSR is regression sum of square,For tropic predicted value.
Further, Trendline fitting degree index is calculate by the following formula:
R2=SSR/SST；
Wherein, R2For the Trendline fitting degree index.
Further, the preset value is 1.
Further, selection Trendline fitting degree index is built closest to the one group of pressure value and value of electrical signals of preset value
Found the pressure of organism pressure sensor to be tested and the mapping relations of electric signal, comprising:
It selects Trendline fitting degree index closest to 1 one group of pressure value and value of electrical signals, establishes one-variable linear regression
Equation:
Y=kX-b；
Wherein, y is value of electrical signals, and X is pressure value, and k, b are constant.
The test method of organism pressure sensor provided by the invention can effectively survey organism pressure sensor
Examination obtains the corresponding relationship of organism pressure cell pressure and electric signal, the test need before meeting the factory of organism pressure sensor
It asks, and test method is simple.
Detailed description of the invention
Fig. 1 is a kind of flow chart of embodiment of test method of organism pressure sensor provided by the invention.
Specific embodiment
To make the purpose of the present invention, technical solution and effect clearer, clear and definite, right as follows in conjunction with drawings and embodiments
The present invention is further described.It should be appreciated that described herein, specific examples are only used to explain the present invention, is not used to
Limit the present invention.
With reference to Fig. 1, the present embodiment provides a kind of test methods of organism pressure sensor, comprising:
Step S101 is that organism pressure sensor to be tested and standard pressure transducer apply identical pressure, adopts simultaneously
Collect the pressure value of pressure sensor to be tested and the value of electrical signals of standard pressure transducer；
Step S102 acquires pressure value and multiple groups value of electrical signals described in multiple groups, and every group of pressure value includes multiple pressure values, often
Group value of electrical signals includes multiple value of electrical signals；
Step S103 calculates the Trendline fitting degree index of each group according to the value of electrical signals of each group；
Step S104 selects Trendline fitting degree index closest to the one group of pressure value and value of electrical signals of preset value, builds
Found the pressure of organism pressure sensor to be tested and the mapping relations of electric signal.
Specifically, step S101 and step S102 is executed, is organism pressure sensor to be tested and standard pressure transducer
Apply identical pressure, while the value of electrical signals of the pressure value and standard pressure transducer to pressure sensor to be tested is adopted
Collection, as a preferred embodiment, can be carried out using value of electrical signals of the microcontroller to standard pressure transducer
Acquisition, is acquired, wherein the value of electrical signals using pressure value of the pressure tester to organism pressure sensor to be tested
For analog signal.
Further, pressure value and multiple groups value of electrical signals described in multiple groups are acquired, every group of pressure value includes multiple pressure values, often
Group value of electrical signals includes multiple value of electrical signals, in the acquisition of one group of data, be stepped up as organism pressure sensor to be tested and
The identical pressure that standard pressure transducer applies, so that collected every group of pressure value is incremented by according to preset step-length.
As a preferred embodiment, the preset step-length is 40g.
As a preferred embodiment, the range of every group of pressure value is 200g to 605g, i.e., since 200g, often
The primary pressure that applies all makes the pressure value of organism pressure sensor to be tested increase 40g, until 600g or so.
Organism pressure sensor in the present embodiment is suitable for Rigiscan, for detecting pressure when telotism
Power, therefore the pressure limit is 200g-605g.
Further, step S103 is executed, according to the value of electrical signals of each group, the Trendline fitting degree for calculating each group refers to
Mark, specifically includes:
According to the value of electrical signals of each group, each group square sum of total departure and regression sum of square are calculated；
According to the square sum of total departure and regression sum of square, the Trendline fitting degree index of each group is calculated.
Further, the square sum of total departure is calculated according to the following formula:
Wherein, SST is square sum of total departure, yiFor collected value of electrical signals,For the electric signal average value in the group.
Further, the regression sum of square is calculate by the following formula；
Wherein, SSR is regression sum of square,For tropic predicted value.
Further, Trendline fitting degree index is calculate by the following formula:
R2=SSR/SST；(3)
Wherein, R2For the Trendline fitting degree index.
When describing the statistical relationship between variable using regression analysis, collected value of electrical signals and tropic prediction
Value might not be completely the same, in a coordinate system, collected pressure value and value of electrical signals (xi,yi) might not all fall in back
Return on line, each point (xi,yi) deviate the tropic degree, can be used square sum of total departure SST (sum of squares for
Total it) characterizes.SSR is known as regression sum of square.Trendline fitting degree index R2Numerical values recited can reflect Trendline
Fitting degree between estimated value and corresponding real data, fitting degree is higher, and the reliability of Trendline is higher, it is on the contrary then can
It is lower by property.
Trendline fitting degree index R2Value range be 0-1, closer to 1 or be equal to 1, reliability is higher, because
This described preset value is 1.
Further, step S104 is executed, selects Trendline fitting degree index closest to one group of pressure value of preset value
And value of electrical signals, the pressure of organism pressure sensor to be tested and the mapping relations of electric signal are established, is specifically included:
It selects Trendline fitting degree index closest to 1 one group of pressure value and value of electrical signals, establishes one-variable linear regression
Equation:
Y=kX-b；
Wherein, y is value of electrical signals, and X is pressure value, and k, b are constant.
It does below by way of test method of the specific application scenarios to organism pressure sensor provided in this embodiment into one
Walk explanation.
Reference table 1 is three groups of data of acquisition in table 1:
| ADC1 | F1 | ADC2 | F2 | ADC3 | F3 | ||
| 1503 | 200 | 1514 | 200 | 1560 | 205 | ||
| 1630 | 244 | 1648 | 246 | 1666 | 244 | ||
| 1723 | 279 | 1762 | 290 | 1767 | 289 | ||
| 1843 | 322 | 1852 | 323 | 1884 | 324 | ||
| 1946 | 363 | 1957 | 361 | 1963 | 356 | ||
| 2063 | 389 | 2070 | 401 | 2089 | 402 | ||
| 2173 | 443 | 2154 | 435 | 2192 | 443 | ||
| 2286 | 481 | 2285 | 478 | 2291 | 480 | ||
| 2377 | 517 | 2401 | 525 | 2396 | 522 | ||
| 2501 | 562 | 2482 | 561 | 2486 | 557 | ||
| 2603 | 601 | 2605 | 605 | 2509 | 603 |
Table 1
In the data of each group of acquisition, pressure value F gradually increases pressure since 200g or so, so that collecting every time
Pressure value increase 40g or so, while recording collected value of electrical signals ADC, according to formula (1-3), calculate each group and become
Gesture line fitting degree index R2, obtain Trendline fitting degree index R2Closest to one group of 1.In the application scenarios, first group
R2Value is 0.9998, the R of second group and third group2Value is respectively 0.9996 and 0,9929, therefore first group of data of choosing group generate one
Pressure dependence equation of first equation of linear regression y=0.3639x-384.33 as the organism pressure sensor.
The test method of organism pressure sensor provided in this embodiment can effectively survey organism pressure sensor
Examination obtains the corresponding relationship of organism pressure cell pressure and electric signal, the test need before meeting the factory of organism pressure sensor
It asks, and test method is simple.
It should be understood that for those of ordinary skills, it can be modified or changed according to the above description,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (10)
1. a kind of test method of organism pressure sensor characterized by comprising
Apply identical pressure for organism pressure sensor to be tested and standard pressure transducer, while acquiring pressure to be tested and passing
The pressure value of sensor and the value of electrical signals of standard pressure transducer；
Pressure value and multiple groups value of electrical signals described in multiple groups are acquired, every group of pressure value includes multiple pressure values, every group of value of electrical signals packet
Include multiple value of electrical signals；
According to the value of electrical signals of each group, the Trendline fitting degree index of each group is calculated；
Trendline fitting degree index is selected closest to the one group of pressure value and value of electrical signals of preset value, establishes biology pressure to be tested
The pressure of force snesor and the mapping relations of electric signal.
2. the test method of organism pressure sensor according to claim 1, which is characterized in that in one group of test, by
It is organism pressure sensor to be tested and the identical pressure that standard pressure transducer applies that step, which increases, so that collected every group
Pressure value according to preset step-length be incremented by.
3. the test method of organism pressure sensor according to claim 2, which is characterized in that the preset step-length is
40g。
4. the test method of organism pressure sensor according to claim 3, which is characterized in that the model of every group of pressure value
It encloses for 200g to 605g.
5. the test method of organism pressure sensor according to claim 1, which is characterized in that according to the electric signal of each group
Value, calculates the Trendline fitting degree index of each group, comprising:
According to the value of electrical signals of each group, each group square sum of total departure and regression sum of square are calculated；
According to the square sum of total departure and regression sum of square, the Trendline fitting degree index of each group is calculated.
6. the test method of organism pressure sensor according to claim 5, which is characterized in that the square sum of total departure
It is calculated according to the following formula:
Wherein, SST is square sum of total departure, yiFor collected value of electrical signals,For the electric signal average value in the group.
7. the test method of organism pressure sensor according to claim 6, which is characterized in that the regression sum of square is logical
Following formula is crossed to be calculated；
Wherein, SSR is regression sum of square,For tropic predicted value.
8. the test method of organism pressure sensor according to claim 7, which is characterized in that Trendline fitting degree refers to
Mark is calculate by the following formula:
R2=SSR/SST；
Wherein, R2For the Trendline fitting degree index.
9. the test method of organism pressure sensor according to claim 8, which is characterized in that the preset value is 1.
10. the test method of organism pressure sensor according to claim 9, which is characterized in that selection Trendline fitting
Level index establishes the pressure and electricity of organism pressure sensor to be tested closest to the one group of pressure value and value of electrical signals of preset value
The mapping relations of signal, comprising:
It selects Trendline fitting degree index closest to 1 one group of pressure value and value of electrical signals, establishes unary linear regression equation:
Y=kx-b；
Wherein, y is value of electrical signals, and X is pressure value, and k, b are constant.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811058437.5A CN109269715A (en) | 2018-09-11 | 2018-09-11 | A kind of test method of organism pressure sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811058437.5A CN109269715A (en) | 2018-09-11 | 2018-09-11 | A kind of test method of organism pressure sensor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109269715A true CN109269715A (en) | 2019-01-25 |
Family
ID=65188416
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811058437.5A Pending CN109269715A (en) | 2018-09-11 | 2018-09-11 | A kind of test method of organism pressure sensor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109269715A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110186384A (en) * | 2019-06-25 | 2019-08-30 | 哈尔滨工程大学 | Ship Structure stress monitoring system sensor bias method for diagnosing faults |
| CN112881023A (en) * | 2021-01-08 | 2021-06-01 | 广西玉柴机器股份有限公司 | Linear metering method for acceleration noise of diesel engine |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101281074A (en) * | 2007-12-28 | 2008-10-08 | 奇瑞汽车股份有限公司 | Pressure sensor calibrating method for test system with calibration scale |
| CN102494841A (en) * | 2011-12-26 | 2012-06-13 | 潍柴动力股份有限公司 | Pressure sensor calibration system |
| CN103808460A (en) * | 2014-03-26 | 2014-05-21 | 北京航空航天大学 | Quick correcting system and method for static performance of pressure sensor |
| CN205593705U (en) * | 2016-04-07 | 2016-09-21 | 北京星达科技发展有限公司 | Pressure is from calibrating device |
| CN107941418A (en) * | 2017-11-16 | 2018-04-20 | 佛山市川东磁电股份有限公司 | A kind of pressure sensor detecting device |
-
2018
- 2018-09-11 CN CN201811058437.5A patent/CN109269715A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101281074A (en) * | 2007-12-28 | 2008-10-08 | 奇瑞汽车股份有限公司 | Pressure sensor calibrating method for test system with calibration scale |
| CN102494841A (en) * | 2011-12-26 | 2012-06-13 | 潍柴动力股份有限公司 | Pressure sensor calibration system |
| CN103808460A (en) * | 2014-03-26 | 2014-05-21 | 北京航空航天大学 | Quick correcting system and method for static performance of pressure sensor |
| CN205593705U (en) * | 2016-04-07 | 2016-09-21 | 北京星达科技发展有限公司 | Pressure is from calibrating device |
| CN107941418A (en) * | 2017-11-16 | 2018-04-20 | 佛山市川东磁电股份有限公司 | A kind of pressure sensor detecting device |
Non-Patent Citations (2)
| Title |
|---|
| 杨树成 等: "《概率论与数理统计》", 31 August 2016 * |
| 蒋思敬 等: "《计量中专试用教材 压力计量》", 30 April 1991 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110186384A (en) * | 2019-06-25 | 2019-08-30 | 哈尔滨工程大学 | Ship Structure stress monitoring system sensor bias method for diagnosing faults |
| CN110186384B (en) * | 2019-06-25 | 2020-11-06 | 哈尔滨工程大学 | Ship structure stress monitoring system sensor deviation fault diagnosis method |
| CN112881023A (en) * | 2021-01-08 | 2021-06-01 | 广西玉柴机器股份有限公司 | Linear metering method for acceleration noise of diesel engine |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101201386B (en) | Method for locating parameter type fault of analogue integrated circuit | |
| CN110514745B (en) | Method for determining broken wire position of cable based on multi-frequency acoustic emission signals | |
| CN109269715A (en) | A kind of test method of organism pressure sensor | |
| JP2016063546A (en) | Computer-implemented method for detecting failures in electrical cables | |
| ATE289686T1 (en) | FAULT DETECTION SYSTEM AND METHOD | |
| WO2007093861A3 (en) | Method and apparatus for evaluating the level of superficial pollution of a medium/high voltage outdoor insulator | |
| CN111125868B (en) | Multi-stress life evaluation method and device for electronic product | |
| CN104296786A (en) | Digital bridge capacitive measuring module | |
| CN111413596A (en) | Cable partial discharge positioning method and device, electronic equipment and positioning system | |
| CN111551790A (en) | Method and apparatus for determining elements of a dielectric equivalent circuit diagram for insulation of an electrical power system | |
| CN104062618A (en) | Verification method for on-line monitoring device of double-signal-source capacitive equipment | |
| CN202372568U (en) | Dynamic data acquisition device | |
| PH12019500488A1 (en) | A method and measuring device for inspecting a cable harness | |
| CN107943642B (en) | Performance test method of capacitive touch sensing device | |
| US11795490B2 (en) | Apparatus, method and system for surficial mold monitor based on weak electrical signals | |
| CN104359689A (en) | Method and device for testing brake performance of motor train units | |
| Ramos et al. | Comparison of impedance measurements in a DSP using ellipse-fit and seven-parameter sine-fit algorithms | |
| CN104345248B (en) | Identifying defective cables | |
| CN109073682B (en) | Monitoring device and method for monitoring an AC voltage source DC decoupled from a reference potential | |
| CN111929720B (en) | Neutron detector performance detection method, device, system and computer equipment | |
| CN104062619A (en) | Verification system for on-line monitoring device of double-signal-source capacitive equipment | |
| JP2008139138A (en) | Electrochemical noise measuring method | |
| Santos et al. | Impedance frequency response measurements with multiharmonic stimulus and estimation algorithms in embedded systems | |
| KUMRU et al. | DESIGN AND APPLICATION OF IoT BASED WEATHER STATION FOR HIGH VOLTAGE LABORATORIES | |
| CN101944236A (en) | Sampling value distributing characteristic based signal detecting method with compressive sensing process |
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 | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 518000 floor 102, floor 7, floor 3-7, floor 02,7, Zhongdian Plaza building, No. 2070, Shennan Middle Road, Fuqiang community, Huaqiang North Street, Futian District, Shenzhen, Guangdong Province Applicant after: Haines (Shenzhen) Information Technology Co.,Ltd. Address before: 518000 24L, east block, Changxing Times Square, No. 86 Taoyuan Road, Nantou street, Nanshan District, Shenzhen, Guangdong Applicant before: Haines (Shenzhen) Information Technology Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190125 |