CN111323544A - Calibration method and system based on miniature air quality monitoring instrument - Google Patents
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Abstract
The invention relates to the field of air quality monitoring, in particular to a calibration method and a calibration system based on a miniature air quality monitoring instrument; the invention comprises the following steps: the calibration after leaving the factory, in the set range of the monitoring instrument, the measured concentration C is linearly related to the electric signal value x, and the slope k and the intercept b are solved; and (3) delivery consistency inspection test: placing n monitoring instruments near a standard station in a space range with the same concentration to obtain data pairs of the measured concentration C and the electric signal value x, and performing unary linear regression analysis on the data pairs to obtain a factory linear equation; parameter value acquisition: acquiring correction coefficients among the monitoring instruments; on-site intelligent calibration: the reference monitoring instrument is arranged near a standard station of a region to be measured to generate calibration parameters, and the data of each monitoring instrument is calculated according to a linear equation of the corrected parameters to obtain a result, so that the linear relation between the electric signals and the measured concentration is reestablished; the method is simple, convenient to program, supports self-learning and is high in calculation speed.
Description
Technical Field
The invention relates to the field of air quality monitoring, in particular to a calibration method and a calibration system based on a miniature air quality monitor.
Background
The air environment problem is not only a single problem but also closely related to all aspects of society. By using the miniature monitoring instrument, on one hand, the manpower and material resources can be saved, and the real-time monitoring of the air environment can be realized; on the other hand, the air environment and the living environment of people are further improved, and the construction of the ecological environment is further enhanced.
The miniature monitoring instrument realizes speaking by data and by facts. However, the core of the technology is the combination of the technical artificial intelligence technology of the sensor and the like. The six pollutants of the air quality are accurately monitored in real time. The miniature monitoring instrument is deployed by adopting a flexible point setting method according to local conditions, and monitors and counts the equipment data of each monitoring point in real time. One of the disadvantages of this miniature monitoring device is that: when the sensor monitors data, certain errors exist due to physical characteristics, and certain troubles exist in the follow-up problem analysis and solution of the monitored data.
Disclosure of Invention
In order to reduce the problem of data deviation caused by the physical characteristics of a common sensor, the calibration method based on the miniature air quality monitoring instrument provided by the invention can improve the precision of the miniature monitoring instrument to a certain extent, and makes a certain reference value for solving the problem of data deviation caused by the physical characteristics of the sensor of the instrument.
The technical scheme adopted by the invention for realizing the purpose is as follows: a calibration method based on a miniature air quality monitoring instrument comprises the following steps:
(1) factory calibration: detecting electric signal values of the monitoring instrument in different concentration states of air within a set range of the monitoring instrument, and acquiring parameters of the monitoring instrument according to the corresponding relation between different concentrations and the electric signal values;
(2) and (3) delivery consistency inspection test: in a test mode, obtaining the data of the measured concentration and the electric signal value of each detection instrument, and performing unary linear regression analysis to obtain the parameters of each factory monitoring instrument; the test mode is as follows: placing n monitoring instruments in a set distance range around a standard station and a space range with the same concentration, and detecting the concentration for a set time continuously;
(3) parameter value acquisition: selecting reference equipment according to parameters of each outgoing monitoring instrument, and acquiring correction coefficients among n monitoring instruments;
(4) on-site intelligent calibration: the reference equipment is arranged in a set distance range around a standard station of a region to be detected, the concentration to be detected and an electric signal value are collected, a calibration coefficient is generated through unary linear regression analysis, each corrected monitoring instrument parameter is obtained according to the calibration coefficient, and the corresponding relation between the electric signal and the concentration to be detected is reestablished for each monitoring instrument of the region to be detected.
The parameters of the obtained monitoring instrument are obtained through the following modes:
C＝kx+b
wherein C is the concentration to be measured, and x is the value of the electric signal; monitoring instrument parameters include: k is the slope and b is the intercept.
The method for obtaining the measured concentration C and the electric signal value x comprises the following steps of obtaining data of the measured concentration C and the electric signal value x, and carrying out unary linear regression analysis to obtain parameters of each factory monitoring instrument, wherein the parameters specifically comprise:
obtaining more than M data pairs of the measured concentration C and the electric signal value x, and carrying out unary linear regression analysis on the data pairs to obtain a factory linear equation C-kix+biI is 1,2 … n; further obtaining the slope k of the ith monitoring instrumentiAnd intercept bi。
The method for acquiring the correction coefficients among the n monitoring instruments according to the parameters of each outgoing monitoring instrument comprises the following steps:
(1) respectively obtaining the slope and intercept k of n monitoring instrumentsi，bi；
(2) Then n monitoring instruments k are obtained respectivelyi，biMedian value K ofIn、bIn；
(3) Selecting a monitoring instrument with the slope and the intercept closest to the median, setting the monitoring instrument as reference equipment, wherein the slope and the intercept of the reference equipment are respectively k0，b0；
(4) The slope and intercept value of each monitoring instrument are respectively compared with the k of the reference equipment0，b0Calculating the ratio to obtain the correction coefficient of each monitoring instrument, i.e. the correction slope and the correction intercept are respectively Iki、Ibi，i＝1,2…n。
The reference equipment is arranged in a set distance range around a standard station of a region to be detected, the concentration to be detected and an electric signal value are collected, and a calibration coefficient is generated through unary linear regression analysis, and the method comprises the following steps:
setting the reference equipment in a set distance range around a standard station of a region to be detected, and obtaining new parameters, namely, the slope and the intercept of the reference equipment of the region to be detected as K through unary linear regression according to the measured concentration C and the electric signal x of the region to be detected0’，b0’；
And generating calibration coefficients of the reference equipment and the standard station monitoring instrument of the area to be detected as follows:
slope calibration factor Jk＝k0’/k0Intercept calibration factor Jb＝b0’/b0。
The corrected parameters are obtained by the following formula:
Ki’＝ki*Jk*Iki
bi’＝bi*Jb*Ibi
wherein, Ki’、bi' the slope and intercept of the ith monitor after calibration, i ═ 1,2 … n, respectively.
The concentration C to be measured is SO2Concentration, CO concentration, O3Concentration, NO2One of a concentration, a pm2.5 concentration, a pm10 concentration.
A calibration system based on a miniature air quality monitoring instrument, comprising:
the factory calibration module is used for detecting the electric signal values of the monitoring instrument in different concentration states of the air and acquiring the current parameters of the monitoring instrument according to the corresponding relation between different concentrations and the electric signal values;
the factory consistency test module is used for acquiring the data of the measured concentration and the electric signal value of the current detection instrument in a test mode and carrying out unary linear regression analysis to obtain the parameters of the current factory monitoring instrument; the test mode is that n monitoring instruments are placed in a space range with the same concentration and a set distance range around a standard station, and the concentration is detected for a set time continuously;
the parameter value acquisition module is used for acquiring parameter selection reference equipment of other factory monitoring instruments in the n monitoring instruments and acquiring correction coefficients among the n monitoring instruments;
the field intelligent calibration module is used for acquiring new parameters of the reference equipment in an actual measurement mode, generating a calibration coefficient, obtaining corrected parameters of the current monitoring instrument according to the calibration coefficient and the correction coefficient, and reestablishing the corresponding relation between the electric signals and the measured concentration of the current monitoring instrument in the area to be measured for the real-time measurement of the concentration; the actual measurement mode is as follows: and the reference equipment is arranged in a set distance range around the standard station of the area to be measured, and the measured concentration and the electric signal value are collected.
A parameter value obtaining module for executing the following steps:
the slope and intercept of other detecting instruments are obtained through wireless communication, and the slope and intercept k of n monitoring instruments are obtainedi，bi；
Obtaining slope median and intercept median of other detecting instruments through wireless communication to obtain n monitoring instruments ki，biMedian value K ofIn、bIn；
Selecting a monitoring instrument with the slope and the intercept closest to the median, setting the monitoring instrument as reference equipment, wherein the slope and the intercept of the reference equipment are respectively k0，b0；
The slope and intercept values of the current monitoring instrument are respectively compared with the k of the reference equipment0，b0Taking the ratio to obtain the correction coefficient of the current monitoring instrument, i.e. the correction slope and the correction intercept are respectively Iki、Ibi，i＝1,2…n。
A calibration method based on a miniature air quality monitoring instrument comprises the following steps:
detecting electric signal values of monitoring instruments in different concentration states of air, and acquiring parameters of the current monitoring instrument according to the corresponding relation between different concentrations and the electric signal values;
when the current instrument is in a test mode, acquiring data of the measured concentration and the electric signal value of the current detection instrument, and performing unary linear regression analysis to obtain parameters of the current factory monitoring instrument; the test mode is that n monitoring instruments are placed in a space range with the same concentration and a set distance range around a standard station, and the concentration is detected for a set time continuously;
acquiring parameter selection reference equipment of other factory monitoring instruments in the n monitoring instruments, and acquiring correction coefficients among the n monitoring instruments;
acquiring new parameters of reference equipment in an actual measurement mode, generating a calibration coefficient, obtaining corrected parameters of the current monitoring instrument according to the calibration coefficient and the correction coefficient, and reestablishing the corresponding relation between an electric signal and the measured concentration of the current monitoring instrument in the area to be measured for the real-time measurement of the concentration; the actual measurement mode is as follows: the reference equipment is arranged in a set distance range around a standard station of the area to be measured, and the measured concentration and the electric signal value are collected.
The invention has the following beneficial effects and advantages:
1. the method is simple and convenient to program. The relationship between the electric signal value and the concentration value is established by directly utilizing a unitary linear regression equation, so that the concentration monitoring purpose can be realized.
2. And self-learning is supported. All calibration coefficients obtained by the method are updated by self-learning in continuous learning. And the reference equipment carries out self-learning of the calibration coefficient in real time according to the equipment of the standard station. The calibration coefficient which is continuously self-learned is used in a subsequent calibration method, so that a strong self-learning capability is embodied, and various complex conditions can be met.
3. The calculation speed is high. Compared with a complex method, the unitary linear regression is higher in computational speed, and the problem of data delay caused by long running time of the method can be reduced to the greatest extent. The comparison is timely and accurate.
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FIG. 1 is a flow chart of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
As shown in fig. 1, a calibration method based on a micro air quality monitoring instrument includes the following steps:
(1) factory calibration: in the set range of the monitoring instrument, the measured concentration C is linearly related to the electric signal value x, and the slope k and the intercept b are solved;
(2) and (3) delivery consistency inspection test: placing n monitoring instruments near a standard station, detecting the concentration for 5 days in the same concentration space range, obtaining more than M data pairs of the detected concentration C and the electric signal value x, and performing unary linear regression analysis to obtain a factory linear equation C-kix+biI is 1,2 … n, and then obtaining the slope k of the monitoring instrument of the ith stationiAnd intercept bi；
(3) Parameter value acquisition: acquiring correction coefficients among the n monitoring instruments;
and the n devices need to be factory calibrated before being released to specific monitoring points. And placing the n devices and the national standard device in the same environment for self-learning to obtain the calibration coefficients among the devices. n devices respectively obtain k1、b1，k2、b2，……ki、biI is 1 to n; respectively calculating median kIn、bInSelecting the device with two parameters closest to the median value, setting the device as a reference device, and setting the parameters to be k0、b0. The ratio of k and b values of each device to the reference device is Ik1、Ib1，Ik2、Ib2，……Iki、IbiI is 1 to n as correction coefficients between devices;
(4) on-site intelligent calibration: the reference monitoring instrument is arranged near a standard station of the area to be measured to generate a calibration parameter Jk、JbThe data of each monitoring instrument is calculated according to the linear equation of the corrected parameters to obtain a result, and the linear relation between the electric signals and the measured concentration is reestablished;
the measured concentration C is linearly related to the electric signal value x, the slope k and the intercept b are calculated, and the method is realized by the following formula
C＝kx+b
Where k is the slope and b is the intercept.
Obtaining correction coefficients among n monitoring instruments, and the method comprises the following steps:
(1) respectively obtaining the slope and intercept k of n monitoring instrumentsi，bi；
(2) Respectively calculating n monitoring instruments ki，biMedian value K ofIn、bIn；
(3) Selecting a monitoring instrument with the slope and the intercept closest to the median, setting the monitoring instrument as reference equipment, and setting the slope and the intercept of the reference equipment as k respectively0，b0；
(4) The slope and intercept value of each monitoring instrument are respectively compared with the k of the reference equipment0，b0Calculating the ratio to obtain the correction coefficient of each monitoring instrument, i.e. the correction slope and the correction intercept are respectively Ikn、Ibn。
The calibration parameter Jk、JbObtained by the following steps:
(1) setting reference equipment near a standard station of a region to be detected, and obtaining new parameters, namely slope and intercept, of the reference equipment of the region to be detected respectively as K through unary linear regression according to the detected concentration C and the electric signal x of the region to be detected0’，b0’；
(2) Generating a calibration factor J for the reference device and the calibration station devicek＝k0’/k0、Jb＝b0’/b0。
The corrected parameters are obtained by the following formula:
Ki’＝ki*Jk*Iki
bi’＝bi*Jb*Ibi
where K 'and b' are the slope and intercept of the ith monitor after calibration, i is 1,2 … n, respectively.
A calibration system based on a miniature air quality monitoring instrument, comprising:
the factory calibration module is used for detecting the electric signal values of the monitoring instrument in different concentration states of the air and acquiring the current parameters of the monitoring instrument according to the corresponding relation between different concentrations and the electric signal values;
the factory consistency test module is used for acquiring the data of the measured concentration and the electric signal value of the current detection instrument in a test mode and carrying out unary linear regression analysis to obtain the parameters of the current factory monitoring instrument; the test mode is that n monitoring instruments are placed in a space range with the same concentration and a set distance range around a standard station, and the concentration is detected for a set time continuously;
the parameter value acquisition module is used for acquiring parameter selection reference equipment of other factory monitoring instruments in the n monitoring instruments and acquiring correction coefficients among the n monitoring instruments;
the field intelligent calibration module is used for acquiring new parameters of the reference equipment in an actual measurement mode, generating a calibration coefficient, obtaining corrected parameters of the current monitoring instrument according to the calibration coefficient and the correction coefficient, and reestablishing the corresponding relation between the electric signals and the measured concentration of the current monitoring instrument in the area to be measured for the real-time measurement of the concentration; the actual measurement mode is as follows: and the reference equipment is arranged in a set distance range around the standard station of the area to be measured, and the measured concentration and the electric signal value are collected.
A parameter value obtaining module for executing the following steps:
the slope and intercept of other detecting instruments are obtained through wireless communication, and the slope and intercept k of n monitoring instruments are obtainedi，bi；
Obtaining slope median and intercept median of other detecting instruments through wireless communication to obtain n monitoring instruments ki，biMedian value K ofIn、bIn；
Selecting a monitoring instrument with the slope and the intercept closest to the median, setting the monitoring instrument as reference equipment, wherein the slope and the intercept of the reference equipment are respectively k0，b0；
The slope and intercept values of the current monitoring instrument are respectively compared with the k of the reference equipment0，b0Taking the ratio to obtain the correction coefficient of the current monitoring instrument, i.e. the correction slope and the correction intercept are respectively Iki、Ibi，i＝1,2…n。
The concentration C to be measured is SO2The concentration,CO concentration, O3Concentration, NO2Concentration, pm2.5 concentration, pm10 concentration.
A calibration system based on a miniature air quality monitoring instrument, comprising:
the factory calibration module is used for detecting the electric signal values of the monitoring instrument in different concentration states of the air and acquiring the current parameters of the monitoring instrument according to the corresponding relation between different concentrations and the electric signal values;
the factory consistency test module is used for acquiring the data of the measured concentration and the electric signal value of the current detection instrument in a test mode and carrying out unary linear regression analysis to obtain the parameters of the current factory monitoring instrument; the test mode is that n monitoring instruments are placed in a space range with the same concentration and a set distance range around a standard station, and the concentration is detected for a set time continuously;
the parameter value acquisition module is used for acquiring parameter selection reference equipment of other factory monitoring instruments in the n monitoring instruments and acquiring correction coefficients among the n monitoring instruments;
the field intelligent calibration module is used for acquiring new parameters of the reference equipment in an actual measurement mode, generating a calibration coefficient, obtaining corrected parameters of the current monitoring instrument according to the calibration coefficient and the correction coefficient, and reestablishing the corresponding relation between the electric signals and the measured concentration of the current monitoring instrument in the area to be measured for the real-time measurement of the concentration; the actual measurement mode is as follows: and the reference equipment is arranged in a set distance range around the standard station of the area to be measured, and the measured concentration and the electric signal value are collected.
A parameter value obtaining module for executing the following steps:
the slope and intercept of other detecting instruments are obtained through wireless communication, and the slope and intercept k of n monitoring instruments are obtainedi，bi；
Obtaining slope median and intercept median of other detecting instruments through wireless communication to obtain n monitoring instruments ki，biMedian value K ofIn、bIn；
Selecting a monitoring instrument with the slope and the intercept closest to the median, setting the monitoring instrument as reference equipmentRespectively has a slope and an intercept of k0，b0；
The slope and intercept values of the current monitoring instrument are respectively compared with the k of the reference equipment0，b0Taking the ratio to obtain the correction coefficient of the current monitoring instrument, i.e. the correction slope and the correction intercept are respectively Iki、Ibi，i＝1,2…n。
A calibration method based on a miniature air quality monitoring instrument comprises the following steps:
detecting electric signal values of monitoring instruments in different concentration states of air, and acquiring parameters of the current monitoring instrument according to the corresponding relation between different concentrations and the electric signal values;
when the current instrument is in a test mode, acquiring data of the measured concentration and the electric signal value of the current detection instrument, and performing unary linear regression analysis to obtain parameters of the current factory monitoring instrument; the test mode is that n monitoring instruments are placed in a space range with the same concentration and a set distance range around a standard station, and the concentration is detected for a set time continuously;
acquiring parameter selection reference equipment of other factory monitoring instruments in the n monitoring instruments, and acquiring correction coefficients among the n monitoring instruments;
acquiring new parameters of reference equipment in an actual measurement mode, generating a calibration coefficient, obtaining corrected parameters of the current monitoring instrument according to the calibration coefficient and the correction coefficient, and reestablishing the corresponding relation between an electric signal and the measured concentration of the current monitoring instrument in the area to be measured for the real-time measurement of the concentration; the actual measurement mode is as follows: the reference equipment is arranged in a set distance range around a standard station of the area to be measured, and the measured concentration and the electric signal value are collected.
As shown in FIG. 1, the artificial intelligence calibration is to take the factory-set equipment to the site for installation, place the reference equipment near the standard station of the project site, perform self-learning and on-line comparison within the same environmental general range (within 50 m, with the same height), and perform unary linear regression to obtain the new parameter k of the reference equipment according to the comparison result0’,b0'. Generating a calibration factor J for the reference device and the standard station devicek＝k0’/k0、Jb＝b0’/b0. Correspondingly, the linear equation parameters of n devices are respectively adjusted to kn’＝ki*Jk*Iki、bi’＝bi*Jb*IbiAnd the linear relation between the electric signal and the measured concentration is re-established.
The detecting instrument obtains a concentration value according to a newly established linear relation between the electric signal and the detected concentration through the electric signals output by the air quality sensor, the sulfur dioxide sensor, the laser particulate matter sensor and the like, and the concentration value is displayed through a display screen of the detecting instrument.
Claims (10)
1. A calibration method based on a miniature air quality monitoring instrument is characterized by comprising the following steps:
(1) factory calibration: detecting electric signal values of the monitoring instrument in different concentration states of air within a set range of the monitoring instrument, and acquiring parameters of the monitoring instrument according to the corresponding relation between different concentrations and the electric signal values;
(2) and (3) delivery consistency inspection test: in a test mode, obtaining the data of the measured concentration and the electric signal value of each detection instrument, and performing unary linear regression analysis to obtain the parameters of each factory monitoring instrument; the test mode is as follows: placing n monitoring instruments in a set distance range and a same concentration space range around a standard station, and detecting concentration for a set time continuously;
(3) parameter value acquisition: selecting reference equipment according to parameters of each outgoing monitoring instrument, and acquiring correction coefficients among n monitoring instruments;
(4) on-site intelligent calibration: the reference equipment is arranged in a set distance range around a standard station of a region to be detected, the measured concentration and the electric signal value are collected, a calibration coefficient is generated through unary linear regression analysis, each corrected monitoring instrument parameter is obtained according to the calibration coefficient, and the corresponding relation between the electric signal and the measured concentration is reestablished for each monitoring instrument of the region to be detected.
2. The calibration method based on the miniature air quality monitoring instrument as claimed in claim 1, wherein the parameters of the acquired monitoring instrument are obtained by:
C＝kx+b
wherein C is the concentration to be measured, and x is the value of the electric signal; monitoring instrument parameters include: k is the slope and b is the intercept.
3. The calibration method based on the miniature air quality monitoring instrument according to claim 1, wherein the data of the measured concentration C and the electric signal value x are obtained, and a unary linear regression analysis is performed to obtain parameters of each factory monitoring instrument, specifically:
obtaining more than M data pairs of the measured concentration C and the electric signal value x, and carrying out unary linear regression analysis on the data pairs to obtain a factory linear equation C-kix+biI is 1,2 … n; further obtaining the slope k of the ith monitoring instrumentiAnd intercept bi。
4. The calibration method for the miniature air quality monitoring instrument according to claim 1, wherein the step of obtaining the correction coefficient between n monitoring instruments according to the parameter of each factory monitoring instrument comprises the following steps:
(1) respectively obtaining the slope and intercept k of n monitoring instrumentsi，bi；
(2) Then n monitoring instruments k are obtained respectivelyi，biMedian value K ofIn、bIn；
(3) Selecting a monitoring instrument with the slope and the intercept closest to the median, setting the monitoring instrument as reference equipment, wherein the slope and the intercept of the reference equipment are respectively k0，b0；
(4) The slope and intercept value of each monitoring instrument are respectively compared with the k of the reference equipment0，b0Calculating the ratio to obtain the correction coefficient of each monitoring instrument, i.e. the correction slope and the correction intercept are respectively Iki、Ibi，i＝1,2…n。
5. The calibration method based on the miniature air quality monitoring instrument as claimed in claim 1 or 4, wherein the reference device is placed in a set distance range around a standard station of an area to be measured, the measured concentration and electric signal values are collected, and a calibration coefficient is generated through a unitary linear regression analysis, and the calibration method comprises the following steps:
setting the reference equipment in a set distance range around a standard station of a region to be detected, and obtaining new parameters, namely slope and intercept, of the reference equipment of the region to be detected respectively as K through unary linear regression according to the detected concentration C and the electric signal x of the region to be detected0’，b0’；
And generating calibration coefficients of the reference equipment and the standard station monitoring instrument of the area to be detected as follows:
slope calibration factor Jk＝k0’/k0Intercept calibration factor Jb＝b0’/b0。
6. The calibration method based on the micro air quality monitoring instrument according to any one of claims 1, 4 and 5, characterized in that the corrected parameter is obtained by the following formula:
Ki’＝ki*Jk*Iki
bi’＝bi*Jb*Ibi
wherein, Ki’、bi' the slope and intercept of the ith monitor after calibration, i ═ 1,2 … n, respectively.
7. The calibration method based on the miniature air quality monitoring instrument as claimed in claim 1, wherein the concentration C to be measured is SO2Concentration, CO concentration, O3Concentration, NO2One of a concentration, a pm2.5 concentration, a pm10 concentration.
8. A calibration system based on a miniature air quality monitoring instrument, comprising:
the factory calibration module is used for detecting the electric signal values of the monitoring instrument in different concentration states of the air and acquiring the current parameters of the monitoring instrument according to the corresponding relation between different concentrations and the electric signal values;
the factory consistency test module is used for acquiring the data of the measured concentration and the electric signal value of the current detection instrument in a test mode and carrying out unary linear regression analysis to obtain the parameters of the current factory monitoring instrument; the test mode is that n monitoring instruments are placed in a space range with the same concentration and a set distance range around a standard station, and the concentration is detected for a set time continuously;
the parameter value acquisition module is used for acquiring parameter selection reference equipment of other factory monitoring instruments in the n monitoring instruments and acquiring correction coefficients among the n monitoring instruments;
the field intelligent calibration module is used for acquiring new parameters of the reference equipment in an actual measurement mode, generating a calibration coefficient, obtaining corrected parameters of the current monitoring instrument according to the calibration coefficient and the correction coefficient, and reestablishing the corresponding relation between the electric signals and the measured concentration of the current monitoring instrument in the area to be measured for the real-time measurement of the concentration; the actual measurement mode is as follows: and the reference equipment is arranged in a set distance range around the standard station of the area to be measured, and the measured concentration and the electric signal value are collected.
9. The calibration system of claim 8, wherein the parameter value obtaining module is configured to perform the following steps:
the slope and intercept of other detecting instruments are obtained through wireless communication, and the slope and intercept k of n monitoring instruments are obtainedi，bi；
Obtaining slope median and intercept median of other detecting instruments through wireless communication to obtain n monitoring instruments ki，biMedian value K ofIn、bIn；
Selecting a monitoring instrument with the slope and the intercept closest to the median, setting the monitoring instrument as reference equipment, wherein the slope and the intercept of the reference equipment are respectively k0，b0；
The slope and intercept values of the current monitoring instrument are respectively compared with the k of the reference equipment0，b0Taking the ratio to obtain the correction coefficient of the current monitoring instrument, i.e. the correction slope and the correction intercept are respectively Iki、Ibi，i＝1,2…n。
10. A calibration method based on a miniature air quality monitoring instrument is characterized by comprising the following steps:
detecting electric signal values of monitoring instruments in different concentration states of air, and acquiring parameters of the current monitoring instrument according to the corresponding relation between different concentrations and the electric signal values;
when the current instrument is in a test mode, acquiring data of the measured concentration and the electric signal value of the current detection instrument, and performing unary linear regression analysis to obtain parameters of the current factory monitoring instrument; the test mode is that n monitoring instruments are placed in a space range with the same concentration and a set distance range around a standard station, and the concentration is detected for a set time continuously;
acquiring parameter selection reference equipment of other factory monitoring instruments in the n monitoring instruments, and acquiring correction coefficients among the n monitoring instruments;
acquiring new parameters of reference equipment in an actual measurement mode, generating a calibration coefficient, obtaining corrected parameters of the current monitoring instrument according to the calibration coefficient and the correction coefficient, and reestablishing the corresponding relation between the electric signals and the measured concentration of the current monitoring instrument in the area to be measured for the real-time measurement of the concentration; the actual measurement mode is as follows: and the reference equipment is arranged in a set distance range around the standard station of the area to be measured, and the measured concentration and the electric signal value are collected.
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| CN112611688A (en) * | 2020-12-30 | 2021-04-06 | 罗克佳华科技集团股份有限公司 | Automatic calibration device and method for atmosphere monitoring equipment |
| CN113297528A (en) * | 2021-06-10 | 2021-08-24 | 四川大学 | NO based on multi-source big data2High-resolution space-time distribution calculation method |
| CN113391040A (en) * | 2021-07-12 | 2021-09-14 | 北京清环宜境技术有限公司 | Data artificial intelligence automatic calibration method for atmospheric micro-station |
| CN113405958A (en) * | 2021-06-18 | 2021-09-17 | 中煤科工集团重庆研究院有限公司 | Dust concentration sensor calibration method |
| CN113984865A (en) * | 2021-10-14 | 2022-01-28 | 合肥中科环境监测技术国家工程实验室有限公司 | Multi-stage calibration method for micro air station |
| CN114113323A (en) * | 2021-11-24 | 2022-03-01 | 浙江省计量科学研究院 | Monitoring and analyzing method for online flaw detection of hydrogen production equipment material |
| CN114200077A (en) * | 2021-11-13 | 2022-03-18 | 安徽熵沃智能科技有限公司 | Cloud platform intelligent auxiliary calibration algorithm applied to gridding air quality monitoring system |
| CN114563536A (en) * | 2022-04-11 | 2022-05-31 | 青岛明华电子仪器有限公司 | Gas concentration calibration method for nonlinear flue gas analyzer |
| CN116879513A (en) * | 2023-09-07 | 2023-10-13 | 中碳实测(北京)科技有限公司 | Verification method, device, equipment and storage medium of gas analysis system |
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| CN112611688A (en) * | 2020-12-30 | 2021-04-06 | 罗克佳华科技集团股份有限公司 | Automatic calibration device and method for atmosphere monitoring equipment |
| CN113297528B (en) * | 2021-06-10 | 2022-07-01 | 四川大学 | NO based on multi-source big data2High-resolution space-time distribution calculation method |
| CN113297528A (en) * | 2021-06-10 | 2021-08-24 | 四川大学 | NO based on multi-source big data2High-resolution space-time distribution calculation method |
| CN113405958A (en) * | 2021-06-18 | 2021-09-17 | 中煤科工集团重庆研究院有限公司 | Dust concentration sensor calibration method |
| CN113391040B (en) * | 2021-07-12 | 2023-09-15 | 北京清环宜境技术有限公司 | Automatic calibration method for data artificial intelligence of atmospheric micro station |
| CN113391040A (en) * | 2021-07-12 | 2021-09-14 | 北京清环宜境技术有限公司 | Data artificial intelligence automatic calibration method for atmospheric micro-station |
| CN113984865A (en) * | 2021-10-14 | 2022-01-28 | 合肥中科环境监测技术国家工程实验室有限公司 | Multi-stage calibration method for micro air station |
| CN113984865B (en) * | 2021-10-14 | 2024-03-22 | 合肥中科环境监测技术国家工程实验室有限公司 | Multistage calibration method for miniature air station |
| CN114200077A (en) * | 2021-11-13 | 2022-03-18 | 安徽熵沃智能科技有限公司 | Cloud platform intelligent auxiliary calibration algorithm applied to gridding air quality monitoring system |
| CN114113323A (en) * | 2021-11-24 | 2022-03-01 | 浙江省计量科学研究院 | Monitoring and analyzing method for online flaw detection of hydrogen production equipment material |
| CN114563536A (en) * | 2022-04-11 | 2022-05-31 | 青岛明华电子仪器有限公司 | Gas concentration calibration method for nonlinear flue gas analyzer |
| CN116879513A (en) * | 2023-09-07 | 2023-10-13 | 中碳实测(北京)科技有限公司 | Verification method, device, equipment and storage medium of gas analysis system |
| CN116879513B (en) * | 2023-09-07 | 2023-11-14 | 中碳实测(北京)科技有限公司 | Verification method, device, equipment and storage medium of gas analysis system |
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