CN110736691A - Concentration correction method of particle sensor by laser scattering method - Google Patents
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Abstract
The invention relates to the technical field of particle sensor correction, in particular to a concentration correction method of particle sensors based on a laser scattering method.
Description
Technical Field
The invention relates to the technical field of particle sensor correction, in particular to a concentration correction method of particle sensors by using a laser scattering method.
Background
As the demand of people for indoor healthy environment is continuously increased along with the economic development, the lung-entering particulate matter PM2.5 in indoor and outdoor air gradually becomes the focus of attention of people, relevant research shows that the inhalation amount of the indoor PM2.5 is 4 times of that of the outdoor air, viruses, bacteria and other harmful substances are easily enriched due to the large specific surface area of the PM2.5 particulate matter, and when the lung-entering particulate matter reaches the concentration of , the harmful substances enter the human body through the air transmission, so that the diseases of lung cancer, respiratory inflammation and the like are caused.
However, for the indoor PM2.5 concentration, visual visibility judgment cannot be carried out, in addition, the indoor environment difference is large, professional PM2.5 detection equipment is large and expensive, universal real-time monitoring is difficult to carry out, and people are lack of understanding and research on the comprehensive indoor PM2.5 pollution degree system.
For this reason, PM2.5 in the room is monitored with a particulate matter sensor in the prior art. The principle of the existing particle sensor is mainly a laser scattering method, namely, pulse per minute (CPM) is directly obtained, the conversion relation of the CPM and absolute mass concentration is influenced by the size, density, shape, optical characteristics and the like of particles, and in addition, the accuracy of the sensor is also interfered by environmental factors such as temperature, relative humidity and the like. And the particle sensor needs to operate in a target room to be monitored all year round, and in the practical application process, because the temperature and humidity of the environment to be monitored by the sensor change greatly, the change of the temperature and the humidity causes the output of the sensor to change greatly, so that a large concentration measurement error can be brought.
Researches show that the relative humidity has important influence on the accuracy of the concentration measurement of the particle sensor by the laser scattering method, so that the concentration correction of the particle sensor by the laser scattering method under the environment with different relative humidity has important significance. For the concentration correction of the particulate matter sensor, methods such as high-temperature heat tracing, gasification compensation and the like are adopted in the prior art, and dehumidification equipment is added in the particulate matter sensor to reduce the influence of relative humidity on the concentration measurement of the particulate matter sensor.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides methods for correcting the concentration of the laser scattering method particulate matter sensor under different relative humidity environments by correcting a model and a relative humidity correction coefficient so as to take account of the concentration correction effect and the cost of the laser scattering method particulate matter sensor.
In order to solve the technical problems, the invention adopts the following technical scheme:
A concentration correction method of a particle sensor by a laser scattering method, comprising the following steps:
acquiring the relative humidity of the environment and the original particulate matter concentration of the particulate matter sensor by using a laser scattering method;
inputting the relative humidity of the environment and the original particulate matter concentration into a preset correction model, and calculating to obtain the corrected particulate matter concentration corrected by the particulate matter sensor through the laser scattering method;
wherein the correction model utilizes a formula
Calculating a corrected particle concentration, wherein C is the corrected particle concentration, VxThe concentration of the original particles is shown, RH is the relative humidity of the environment, and a, b and c are relative humidity correction coefficients corresponding to the particle sensor adopting the laser scattering method.
In the scheme, firstly, the deviation common law of the particle sensor by the laser scattering method, namely a relative humidity correction coefficient, is calculated; and then, the concentration of the original particulate matter concentration is corrected by using a relative humidity correction coefficient corresponding to the particulate matter sensor and combining the current environment relative humidity to obtain the corrected particulate matter concentration. According to the scheme, the concentration of the particle sensor is corrected by a mode of model compensation without increasingA dehumidifying apparatus, thereby enabling a cost of concentration correction to be greatly reduced; furthermore, by the formula
And calculating the corrected particulate matter concentration to correlate the corrected particulate matter concentration with the relative humidity of the environment, thereby being beneficial to improving the concentration correction effect in the environments with different relative humidities. Therefore, the concentration correction method of the particle sensor by the laser scattering method can give consideration to both the concentration correction effect and the cost of the particle sensor by the laser scattering method.
Preferably, the relative humidity correction coefficient corresponding to the particulate matter sensor adopting the laser scattering method is calculated by adopting the following steps:
under a standard working condition, acquiring the standard particulate matter concentration of the environment and the test particulate matter concentration of the particulate matter sensor by using a laser scattering method;
calculating to obtain a concentration correction coefficient corresponding to the particle sensor by the laser scattering method according to the standard particle concentration and the tested particle concentration;
inputting the tested particle concentration of the particle sensor by the laser scattering method and the corresponding concentration correction coefficient into a preset relative humidity correction model, and calculating to obtain the relative humidity correction coefficients a, b and c corresponding to the particle sensor by the laser scattering method;
the relative humidity correction model calculates a relative humidity correction coefficient by using a formula Y (mX + n), wherein Y is a ratio of the concentration of the tested particulate matter to the concentration of the standard particulate matter, X is the concentration of the standard particulate matter, and m and n are concentration correction coefficients corresponding to the particulate matter sensor based on the laser scattering method.
In the scheme, firstly, the concentration correction coefficient is calculated, then the concentration of the tested particulate matter is substituted into a formula Y which is mX + n, and the relative humidity correction coefficients a, b and c are calculated. The formula Y is mX + n and is obtained through experiments, and a good relative humidity correction coefficient can be calculated through the formula, so that the concentration correction effect of the particle sensor based on the laser scattering method can be improved.
Preferably, the test particulate matter concentration comprises at least two particulate matter calculation concentrations used for calculating concentration correction coefficients, and the concentration correction coefficients m and n corresponding to the laser scattering method particulate matter sensor are calculated by using the standard particulate matter concentration and the particulate matter calculation concentrations.
In the prior art, for the correction of a particulate matter sensor, a regression model is obtained by mainly adopting five test points (particulate matter calculation concentration) on a test mechanism to carry out regression on particulate matters; and formula Y in this scheme is mX + n and obtains through the experiment, only needs two test points (particulate matter calculated concentration) just can to count and obtain regression model (relative humidity correction model), this very big simplification the flow and the step of calculating regression model to can reduce the cost of concentration correction.
Preferably, the test particle concentration further comprises at least particle verification concentrations for verifying concentration correction coefficients, and whether the particle verification concentrations are within a 95% confidence interval of Y ═ mX + n is judged, if yes, the test particle concentration of the laser scattering method particle sensor and the corresponding concentration correction coefficient are input into a preset relative humidity correction model, and relative humidity correction coefficients a, b and c corresponding to the laser scattering method particle sensor are calculated, and if not, the test particle concentration of the laser scattering method particle sensor is obtained again, and the concentration correction coefficient corresponding to the laser scattering method particle sensor is calculated again.
In this way, the concentration correction coefficient obtained by calculation is verified through the particle verification concentration, so that a better regression model (relative humidity correction model) can be obtained, and the concentration correction effect of the particle sensor by the laser scattering method is favorably improved; in addition, the 95% confidence interval in percentage is taken as a judgment standard, and the stability of the relative humidity correction model is considered on the premise of controlling errors, so that the concentration correction effect of the particulate matter sensor based on the laser scattering method is more favorably improved.
Preferably, the relative humidity of the environment is acquired by an environment monitoring sensor.
Like this, environmental monitoring sensor can fine measurement environment relative humidity, can promote the effect of laser scattering method particulate matter sensor's concentration correction.
Preferably, the standard particulate matter concentration is obtained by a scientific measuring instrument.
Like this, the standard particulate matter concentration of scientific measuring apparatu ability fine measurement environment can promote the effect of laser scattering method particulate matter sensor's concentration correction.
Preferably, the standard working condition is that: an environment with a temperature of 25 + -2 deg.C and a relative humidity of 25 + -5%, 55 + -5% or 85 + -5%.
Thus, the influence of the relative humidity on the performance of the particle sensor by the laser scattering method can be well researched by adopting the relative humidity of three levels of 25 +/-5%, 55 +/-5% and 85 +/-5%, and the effect of concentration correction of the particle sensor by the laser scattering method is favorably improved.
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For purposes of promoting a better understanding of the objects, features and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a logic diagram of a concentration correction method in an embodiment;
FIG. 2 is a logic block diagram of a relative coefficient calculation method in the embodiment;
FIG. 3 is a diagram illustrating the failure of verifying the concentration correction factor in one embodiment;
FIG. 4 is a diagram illustrating the success of verifying the concentration correction factor in one embodiment;
FIG. 5 is a graphical representation of the relationship between the measured particulate matter concentration value and the standard particulate matter concentration value at a relative humidity of 25. + -.5% for the examples;
FIG. 6 is a graphical representation of the relationship between the measured particulate matter concentration value and the standard particulate matter concentration value at a relative humidity of 55 + -5% for the example embodiment;
FIG. 7 is a graphical representation of the relationship between the measured particulate matter concentration value and the standard particulate matter concentration value at a relative humidity of 85. + -. 5% for the examples.
Detailed Description
The following is further detailed by way of specific embodiments:
example (b):
the embodiment discloses concentration correction methods of the particle sensor by the laser scattering method.
As shown in FIG. 1, the concentration correction method of the types of particle sensors by the laser scattering method comprises the following steps:
acquiring the relative humidity of the environment and the original particulate matter concentration of the particulate matter sensor by using a laser scattering method;
inputting the relative humidity of the environment and the original particulate matter concentration into a preset correction model, and calculating to obtain the corrected particulate matter concentration corrected by the particulate matter sensor through the laser scattering method;
wherein the correction model utilizes a formula
Calculating a corrected particle concentration, wherein C is the corrected particle concentration, VxThe concentration of the original particles is shown, RH is the relative humidity of the environment, and a, b and c are relative humidity correction coefficients corresponding to the particle sensor adopting the laser scattering method.
In a specific implementation process, the relative humidity of the environment is acquired by a relative humidity acquisition instrument, which is an HOBO humiture recorder in the embodiment; the data acquisition frequency of the relative humidity acquisition instrument can be set to 1 min/time and +/-2.5% RH.
In the specific implementation process, different particle sensors based on the laser scattering method have corresponding relative humidity correction coefficients, and the calculation method for the relative coefficients comprises the following steps as shown in fig. 2:
under a standard working condition, acquiring the standard particulate matter concentration of the environment and the test particulate matter concentration of the particulate matter sensor by using a laser scattering method;
calculating to obtain a concentration correction coefficient corresponding to the particle sensor by the laser scattering method according to the standard particle concentration and the tested particle concentration;
inputting the tested particle concentration of the particle sensor by the laser scattering method and the corresponding concentration correction coefficient into a preset relative humidity correction model, and calculating to obtain the relative humidity correction coefficients a, b and c corresponding to the particle sensor by the laser scattering method;
the relative humidity correction model calculates a relative humidity correction coefficient by using a formula Y (mX + n), wherein Y is a ratio of the concentration of the tested particulate matter to the concentration of the standard particulate matter, X is the concentration of the standard particulate matter, and m and n are concentration correction coefficients corresponding to the particulate matter sensor based on the laser scattering method.
In the specific implementation process, the standard working conditions are as follows: an environment with a temperature of 25 + -2 deg.C and a relative humidity of 25 + -5%, 55 + -5% or 85 + -5%.
In the specific implementation process, the standard particulate matter concentration is obtained through a scientific measuring instrument, in the embodiment, the scientific measuring instrument is a DustTrakDRX8534 aerosol monitor, the instrument uses an aerosol in a sheath gas system separation optical system chamber, and can simultaneously detect the particle size distribution mass fraction concentration corresponding to PM1, PM2.5, inhalable particles, PM10 and the total PM particle fraction; it is a 90-degree light scattering type instrument, and the measurement range is as follows: 0.001-150 mg/m3, operation temperature: 0-50 ℃ and relative humidity: 0-95%, and the resolution is 0.1% or 0.001mg/m3, whichever is greater.
In a specific implementation process, the tested particle concentration comprises at least two particle calculation concentrations used for calculating concentration correction coefficients, and the concentration correction coefficients m and n corresponding to the particle sensor adopting the laser scattering method are calculated by utilizing the standard particle concentration and the particle calculation concentrations.
In the specific implementation process, the tested particle concentration further comprises at least particle verification concentrations used for verifying concentration correction coefficients, whether the particle verification concentrations are within a 95% confidence interval of Y ═ mX + n is judged, if yes, the tested particle concentration of the particle sensor adopting the laser scattering method and the corresponding concentration correction coefficient are input into a preset relative humidity correction model, and relative humidity correction coefficients a, b and c corresponding to the particle sensor adopting the laser scattering method are calculated (as shown in fig. 4), and if not, the tested particle concentration of the particle sensor adopting the laser scattering method is obtained again, and the concentration correction coefficient corresponding to the particle sensor adopting the laser scattering method is calculated again (as shown in fig. 3).
Specifically, the formula Y ═ mX + n for the relative humidity correction model was obtained by the following experiment.
The target sensor is placed in a constant temperature and humidity test chamber, the temperature is controlled to be 25 +/-2 ℃, and three relative humidity levels of high, medium and low (25 +/-5%, 55 +/-5%, 85 +/-5%) are set for testing. In the embodiment, the target sensors are respectively of a B-smart type, a K-type (G5) and a P-type (G3), and the basic information of the three types of laser scattering particle sensors is shown in Table 1; the basic information of the constant temperature and humidity test chamber is shown in table 2.
TABLE 1
TABLE 2
Experimental procedure (duration of 0.5 hours per condition, sampling interval of 1 minute, 3 experiments per condition):
1) debugging the constant temperature and humidity test chamber to a specified temperature and humidity working condition, connecting various sensors, debugging and networking the sensors, opening an environment monitoring sensor recorder and placing the environment monitoring sensor recorder at a sensor arrangement position;
2) when the temperature and humidity of the constant-temperature and constant-humidity test chamber are adjusted to a preset working condition, a particulate matter generator is started, the flow is controlled to control the indoor concentration, and the air in the climate chamber is uniformly stirred through a fan;
3) after the stability of the monitoring values of the environmental monitoring sensor and the particle sensor by the laser scattering method is judged, the scientific measuring instrument is started to test;
4) because the constant-temperature and constant-humidity test chamber adjusts the temperature and the humidity to the preset working condition and the time required for stabilizing the temperature and the humidity to the working condition is long, the sensor is powered off after tests are finished, the constant-temperature and constant-humidity test chamber is placed at a ventilation position for twenty minutes, the environment monitoring sensor and the particle sensor adopting the laser scattering method are placed back to the constant-temperature and constant-humidity test chamber, the power supply is switched on, and the repeatability test is started after the constant-temperature and constant-humidity;
5) collecting and analyzing data of the particle sensors by the laser scattering method and reference measuring instruments (environment monitoring sensors and scientific measuring instruments), comparing measured values of the particle sensors by the laser scattering method with standard particle concentrations of the reference measuring instruments to analyze the offset of the particle sensors under the current working conditions, and finally analyzing the offset rules under each working condition.
The specific experimental results are shown in table 3, and in table 3, Cor is a correlation coefficient between the sensor indication value and the reference value; sig is the significance of the difference between the sensor indication and the reference value.
TABLE 3
Regression analysis of the data resulted in a proportional relationship between the measured values of the laser scattering particle sensors and the standard particle concentration values as shown in fig. 5, 6 and 7.
According to the research of relevant documents and experiments [5,9,11], when the relative humidity is less than 55%, the influence of the relative humidity on the laser scattering method is small, the research mainly researches the influence of the relative humidity in a range of 50-90% on the performance of the sensor, stably controls the concentration of the particulate matters to be 300 +/-50 mu g/m3, controls the temperature to be 25 +/-2 ℃, and according to experimental data, the relation between the ratio of a measured value of the sensor and a reference value and the relative humidity is shown in the following graph, regression models of B, P, K three laser scattering method sensors are quadratic equations, R2 is respectively 0.971, 0.976 and 0.898, the equations have good fitting degree, and coefficients of different sensors are different, so that the formula Y for obtaining the relative humidity correction model is mX + n.
It should be noted that, although the present invention has been described in detail, it should be understood that the present invention is not limited to the details of construction and operation, and that the invention is capable of operation in any way, including without limitation to the details of construction and operation, unless otherwise specified.
Claims (7)
1, A concentration correction method of a particle sensor by a laser scattering method, which is characterized by comprising the following steps:
acquiring the relative humidity of the environment and the original particulate matter concentration of the particulate matter sensor by using a laser scattering method;
inputting the relative humidity of the environment and the original particulate matter concentration into a preset correction model, and calculating to obtain the corrected particulate matter concentration corrected by the particulate matter sensor through the laser scattering method;
wherein the correction model utilizes a formula
Calculating a corrected particle concentration, wherein C is the corrected particle concentration, VxThe concentration of the original particles is shown, RH is the relative humidity of the environment, and a, b and c are relative humidity correction coefficients corresponding to the particle sensor adopting the laser scattering method.
2. The method for correcting the concentration of a particulate matter sensor by laser scattering according to claim 1, wherein: the relative humidity correction coefficient corresponding to the particle sensor by the laser scattering method is calculated by adopting the following steps:
under a standard working condition, acquiring the standard particulate matter concentration of the environment and the test particulate matter concentration of the particulate matter sensor by using a laser scattering method;
calculating to obtain a concentration correction coefficient corresponding to the particle sensor by the laser scattering method according to the standard particle concentration and the tested particle concentration;
inputting the tested particle concentration of the particle sensor by the laser scattering method and the corresponding concentration correction coefficient into a preset relative humidity correction model, and calculating to obtain the relative humidity correction coefficients a, b and c corresponding to the particle sensor by the laser scattering method;
the relative humidity correction model calculates a relative humidity correction coefficient by using a formula Y (mX + n), wherein Y is a ratio of the concentration of the tested particulate matter to the concentration of the standard particulate matter, X is the concentration of the standard particulate matter, and m and n are concentration correction coefficients corresponding to the particulate matter sensor based on the laser scattering method.
3. The method for correcting the concentration of a particulate matter sensor by laser scattering according to claim 2, wherein: the test particulate matter concentration comprises at least two particulate matter calculation concentrations used for calculating concentration correction coefficients, and the concentration correction coefficients m and n corresponding to the particulate matter sensor based on the laser scattering method are calculated by utilizing the standard particulate matter concentration and the particulate matter calculation concentrations.
4. The method for correcting the concentration of the particulate matter sensor by the laser scattering method according to claim 3, wherein the tested particulate matter concentration further comprises at least particle verification concentrations for verifying concentration correction coefficients, whether the particle verification concentrations are within a 95% confidence interval of Y-mX + n is judged, if yes, the tested particulate matter concentration of the particulate matter sensor by the laser scattering method and the corresponding concentration correction coefficients are input into a preset relative humidity correction model, the relative humidity correction coefficients a, b and c corresponding to the particulate matter sensor by the laser scattering method are calculated, and if not, the tested particulate matter concentration of the particulate matter sensor by the laser scattering method is obtained again, and the concentration correction coefficients corresponding to the particulate matter sensor by the laser scattering method are calculated again.
5. The method for correcting the concentration of a particulate matter sensor by laser scattering according to claim 1, wherein: and the relative humidity of the environment is acquired by an environment monitoring sensor.
6. The method for correcting the concentration of a particulate matter sensor by laser scattering according to claim 2, wherein: the standard particulate matter concentration is obtained by a scientific measuring instrument.
7. The method for correcting the concentration of a particulate matter sensor by laser scattering according to claim 2, wherein: the standard working condition is as follows: an environment with a temperature of 25 + -2 deg.C and a relative humidity of 25 + -5%, 55 + -5% or 85 + -5%.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112462005A (en) * | 2020-11-26 | 2021-03-09 | 深圳市安室智能有限公司 | Temperature compensation method and related product |
| CN115164343A (en) * | 2022-07-20 | 2022-10-11 | 珠海格力电器股份有限公司 | PM value compensation method and device and air purification equipment |
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| CN107941666A (en) * | 2017-10-30 | 2018-04-20 | 重庆广睿达科技有限公司 | The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences |
| CN110186821A (en) * | 2019-05-13 | 2019-08-30 | 天津大学 | A kind of Performance Test System of indoor air quality sensor under different humidity |
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| CN115164343A (en) * | 2022-07-20 | 2022-10-11 | 珠海格力电器股份有限公司 | PM value compensation method and device and air purification equipment |
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