Gas monitoring calibration method and system based on linear regression

A linear regression and gas monitoring technology, applied in measuring devices, material analysis through electromagnetic means, instruments, etc., can solve problems such as inability to obtain more accurate component information, mixed interference of various gas factors, and unresponsive impact effects. Achieve the effect of improving the difficulty of calibration, reducing the number of manual maintenance, and improving the accuracy of monitoring

Pending Publication Date: 2020-08-18
利晟(杭州)科技有限公司
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Problems solved by technology

[0005] 1. Quantitative determination of mutual interference of two gas factors is easy, but the result cannot be directly used for mixed interference of multiple gas factors
[0006] 2. The shock effect caused by the sudden change of the concentration of a single gas factor in the monitoring environment cannot be responded or the error is too large
The above scheme can improve the detection accuracy of the electrochemical gas sensor, but the above scheme is an improvement on the sensor, and it is still impossible to obtain more accurate composition information for the two interfering gas factors

Method used

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  • Gas monitoring calibration method and system based on linear regression
  • Gas monitoring calibration method and system based on linear regression
  • Gas monitoring calibration method and system based on linear regression

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Embodiment 1

[0047] This embodiment provides a gas monitoring calibration system based on linear regression, such as figure 1 shown, including:

[0048] An acquisition module 11, configured to acquire the gas mixture monitoring value of the environment where the monitoring equipment is located;

[0049] A conversion module 12, configured to convert the obtained mixed monitoring value into a gas component value based on linear regression;

[0050] A comparison module 13, configured to compare the converted gas composition value with the standard source data, and generate a new gas composition value according to the comparison result;

[0051] The calibration module 14 is configured to perform calibration processing on the obtained new composition value to obtain final composition information.

[0052] In this embodiment, the hardware equipment is composed of four parts: field equipment (that is, monitoring equipment, that is, electrochemical sensors), an Internet of Things server, a natio...

Embodiment 2

[0091] This embodiment discloses a gas monitoring calibration method based on linear regression, such as Figure 4 shown, including steps:

[0092] S11. Obtain the gas mixing monitoring value of the environment where the monitoring equipment is located;

[0093] S12. Convert the obtained mixed monitoring value into a gas component value based on linear regression;

[0094] S13. Comparing the converted gas composition value with the standard source data, and generating a new gas composition value according to the comparison result;

[0095] S14. Perform calibration processing on the obtained new composition value to obtain final composition information.

[0096] Further, the step S12 specifically includes:

[0097] S121. Construct a regression parameter pool based on the obtained mixed monitoring value based on the square of the linear regression and the minimum gradient direction;

[0098] S122. Perform a variance test and a level test on the parameters in the regression p...

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Abstract

The invention discloses a gas monitoring calibration method and system based on linear regression, and relates to a gas monitoring calibration method based on linear regression, which comprises the following steps: S11, acquiring a gas mixing monitoring value of an environment where monitoring equipment is located; s12, converting the obtained mixed monitoring value into a part value of the gas based on linear regression; s13, comparing the converted gas part value with standard source data, and generating a new gas part value according to a comparison result; and S14, carrying out calibrationprocessing on the obtained new part value to obtain final part information. Mutual interference of common monitoring gas factors (sulfur dioxide, nitrogen dioxide, ozone and carbon monoxide) in the atmospheric environment is greatly improved, and accurate part information is obtained; and moreover, the problem of monitoring the sudden change impact response of single gas in the atmospheric environment is solved, and the monitoring accuracy of the impact peak value is greatly improved.

Description

technical field [0001] The invention relates to the technical field of environmental monitoring, in particular to a linear regression-based gas monitoring calibration method and system. Background technique [0002] At present, sensors based on electrochemical principles are often used in atmospheric environmental grid monitoring. Such sensors cannot avoid the interaction between gas factors when facing common monitoring factors (sulfur dioxide, nitrogen dioxide, ozone, carbon monoxide), resulting in monitoring results. Problems with large differences from the actual composition. [0003] The current calibration techniques to correct the above differences mainly rely on theoretical calculations combined with manual experience, or through comparison and calibration of values ​​measured by non-electrochemical principles. However, the implementation of the current calibration scheme cannot avoid the involvement of subjective factors, nor can it properly handle the temperature ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/416G06F17/18
CPCG01N27/4163G06F17/18
Inventor 张之孙成伟
Owner 利晟(杭州)科技有限公司
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