Suspended particulate matter intelligent monitoring system and monitoring method

Abstract

The invention provides a suspended particulate matter intelligent monitoring system and monitoring method, and relates to the technical field of suspended particulate matter monitoring. The method comprises the following steps: a scattered light intensity data module is used for collecting scattered light intensity data of a target area; the environment data module is used for acquiring environment data of a target area; the calibration scattered light intensity data module is used for determining calibration scattered light intensity data of a plurality of moments in the current monitoring period; the suspended particulate matter mass concentration module is used for determining the suspended particulate matter mass concentration of the current monitoring period; the suspended particulate matter mass concentration correction module is used for determining the corrected suspended particulate matter mass concentration according to the suspended particulate matter mass concentration and the environment air pressure; and the air quality condition module is used for determining the air quality condition of the target area in the current monitoring period according to the corrected mass concentration of the suspended particulate matters. According to the invention, the mass concentration of the detection equipment and the suspended particulate matters can be calibrated and corrected according to environmental factors, so that the accuracy of a monitoring result is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of suspended particulate matter monitoring, and in particular to an intelligent suspended particulate matter monitoring system and a monitoring method. Background Art

[0002] In current related technologies, although the dust concentration in the environment is detected by the intensity of scattered light, it does not take into account the detection errors of the detection equipment under the influence of environmental factors, nor the impact of environmental factors on the monitoring of the mass concentration of suspended particulate matter. In other words, it is impossible to calibrate and correct the detection equipment and the mass concentration of suspended particulate matter according to environmental factors.

[0003] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the Invention

[0004] The present invention provides an intelligent monitoring system and method for suspended particulate matter, which can solve the technical problem that related technologies cannot calibrate and correct detection equipment and suspended particulate matter mass concentration according to environmental factors.

[0005] According to a first aspect of the present invention, there is provided an intelligent suspended particulate matter monitoring system, comprising: a scattered light intensity data module for collecting scattered light intensity data of a target area at multiple moments in a current monitoring cycle through a multispectral sensor array, wherein the multispectral sensor array comprises at least three laser emitters of different wavelengths and corresponding photodetectors; an environmental data module for acquiring environmental data of the target area at multiple moments in the current monitoring cycle, wherein the environmental data comprises ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure; a calibrated scattered light intensity data module for determining calibrated scattered light intensity data at multiple moments in the current monitoring cycle based on the scattered light intensity data, the ambient temperature, and the ambient humidity; a suspended particulate matter mass concentration module for determining the suspended particulate matter mass concentration of the current monitoring cycle based on the calibrated scattered light intensity data and the ambient wind speed; a corrected suspended particulate matter mass concentration module for determining a corrected suspended particulate matter mass concentration based on the suspended particulate matter mass concentration and the ambient air pressure; and an air quality status module for determining the air quality status of the target area in the current monitoring cycle based on the corrected suspended particulate matter mass concentration.

[0006] Furthermore, based on the scattered light intensity data, the ambient temperature and the ambient humidity, the calibrated scattered light intensity data at multiple moments in the current monitoring period is determined, including: selecting a first historical monitoring period in which the air quality is good; obtaining historical scattered light intensity data measured by each photoelectric detector at multiple moments in the first historical monitoring period; calculating the standard deviation of the historical scattered light intensity data at multiple moments in the first historical monitoring period to obtain the historical scattered light intensity standard deviation; determining the weights of multiple photoelectric detectors based on the historical scattered light intensity standard deviation; and determining the calibrated scattered light intensity data at multiple moments in the current monitoring period based on the weights of the photoelectric detectors, the scattered light intensity data, the ambient temperature and the ambient humidity.

[0007] Furthermore, according to the historical scattered light intensity standard deviation, the weights of the plurality of photodetectors are determined, including: according to the formula Determine the weight of the i-th photodetector ,in, is the standard deviation of the historical scattered light intensity of the i-th photodetector, n is the number of photodetectors, i≤n, and both i and n are positive integers.

[0008] Further, according to the weight of the photoelectric detector, the scattered light intensity data, the ambient temperature and the ambient humidity, the calibration scattered light intensity data at multiple moments in the current monitoring period is determined, including: according to the formula Determine the calibration scattered light intensity data of the i-th photodetector at the k-th moment in the current monitoring cycle ,in, is the scattered light intensity data of the i-th photoelectric detector at the k-th moment in the current monitoring cycle, is the ambient temperature at the kth moment of the current monitoring period, is the preset temperature threshold, is the ambient humidity at the kth moment of the current monitoring period, is the maximum ambient humidity, and k is a positive integer.

[0009] Furthermore, the mass concentration of suspended particulate matter in the current monitoring period is determined based on the calibrated scattered light intensity data and the ambient wind speed, including: averaging the calibrated scattered light intensity data of each photodetector at multiple moments in the current monitoring period to obtain the average calibrated scattered light intensity data of each photodetector in the current monitoring period; obtaining the wavelength data emitted by the laser emitter corresponding to the photodetector; fitting the ambient wind speed with the moments in the monitoring period to determine the wind speed function of the real-time wind speed in the monitoring period; and determining the mass concentration of suspended particulate matter in the current monitoring period based on the average calibrated scattered light intensity data, the wavelength data and the wind speed function.

[0010] Further, determining the mass concentration of suspended particulate matter in the current monitoring period based on the average calibrated scattered light intensity data, the wavelength data and the wind speed function includes: according to the formula Determine the mass concentration of suspended particulate matter during the current monitoring period ,in, is the average calibration scattered light intensity data of the i-th photodetector in the current monitoring period, is the wavelength data emitted by the i-th laser transmitter, H is the preset coefficient, is the wind speed function, is the start time of the current monitoring cycle, is the end time of the current monitoring cycle, n is the number of photoelectric detectors, i≤n, and i, n, and All are positive integers.

[0011] Furthermore, the corrected suspended particulate matter mass concentration is determined based on the suspended particulate matter mass concentration and the ambient air pressure, including: averaging the ambient air pressures at multiple moments in the current monitoring period to obtain an average ambient air pressure; obtaining the pressure difference between the average ambient air pressure and the standard ambient air pressure; and determining the corrected suspended particulate matter mass concentration based on the pressure difference and the suspended particulate matter mass concentration.

[0012] Further, according to the pressure difference and the suspended particulate matter mass concentration, determining the corrected suspended particulate matter mass concentration includes: according to the formula Determine the corrected suspended particulate matter mass concentration ,in, is the mass concentration of suspended particulate matter in the current monitoring period, is the air pressure coefficient, is the air pressure difference.

[0013] Furthermore, based on the corrected suspended particulate matter mass concentration, the air quality status of the target area in the current monitoring period is determined, including: if the corrected suspended particulate matter mass concentration is greater than or equal to the first preset suspended particulate matter mass concentration, the air quality status of the target area in the current monitoring period is determined to be serious; if the corrected suspended particulate matter mass concentration is less than the first preset suspended particulate matter mass concentration and greater than or equal to the second preset suspended particulate matter mass concentration, the air quality status of the target area in the current monitoring period is determined to be medium; if the corrected suspended particulate matter mass concentration is less than the second preset suspended particulate matter mass concentration, the air quality status of the target area in the current monitoring period is determined to be good.

[0014] According to a second aspect of the present invention, there is provided a method for intelligent monitoring of suspended particulate matter, comprising: collecting scattered light intensity data of a target area at multiple moments in a current monitoring cycle through a multispectral sensor array, wherein the multispectral sensor array comprises laser emitters of at least three different wavelengths and corresponding photodetectors; acquiring environmental data of the target area at multiple moments in the current monitoring cycle, wherein the environmental data comprises ambient temperature, ambient humidity, ambient wind speed and ambient air pressure; determining calibrated scattered light intensity data at multiple moments in the current monitoring cycle based on the scattered light intensity data, the ambient temperature and the ambient humidity; determining a suspended particulate matter mass concentration for the current monitoring cycle based on the calibrated scattered light intensity data and the ambient wind speed; determining a corrected suspended particulate matter mass concentration based on the suspended particulate matter mass concentration and the ambient air pressure; and determining the air quality status of the target area for the current monitoring cycle based on the corrected suspended particulate matter mass concentration.

[0015] Technical effect: According to the present invention, by collecting scattered light intensity data through a multi-spectral sensor array, the scattering characteristics of suspended particulate matter at different wavelengths can be more comprehensively captured, thereby improving the accuracy and reliability of monitoring. The detection equipment and the mass concentration of suspended particulate matter can be calibrated and corrected according to environmental factors to improve the accuracy of the monitoring results. When determining the weight of the photoelectric detector, the weight can be set based on the characteristic that the smaller the standard deviation of the historical scattered light intensity, the more reliable the photoelectric detector, that is, a higher weight is assigned to a more reliable photoelectric detector, which helps to improve the accuracy of the photoelectric detector detection results. When determining the calibrated scattered light intensity data, the scattered light intensity data can be calibrated based on the measurement stability, ambient temperature and ambient humidity of different photoelectric detectors to determine the calibrated scattered light intensity data and improve the accuracy of the scattered light intensity. By comprehensively considering multiple environmental factors, the scattered light intensity measured by the photoelectric detector in the actual environment can be more comprehensively reflected, thereby improving the accuracy of the photoelectric detector in different environments. When determining the mass concentration of suspended particulate matter, a weight can be set based on the characteristic that shorter wavelengths have greater scattering efficiency, reducing the impact of wavelength scattering efficiency on the scattered signal. The average calibrated scattered light intensity data of multiple wavelengths can be integrated to improve the accuracy of the suspended particulate matter mass concentration. At the same time, the interference of ambient wind speed on the suspended particulate matter mass concentration monitoring can be corrected. When determining the corrected suspended particulate matter mass concentration, the corrected suspended particulate matter mass concentration can be determined by the air pressure difference and the suspended particulate matter mass concentration. Air pressure correction can reduce the measurement deviation of suspended particulate matter mass concentration caused by air pressure changes, improving the environmental adaptability and accuracy of monitoring.

[0016] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and not limiting of the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can derive other embodiments based on these drawings without inventive efforts. Figure 1 A block diagram of an intelligent monitoring system for suspended particulate matter according to an embodiment of the present invention is exemplarily shown; Figure 2 The following is a flow chart showing an intelligent monitoring method for suspended particulate matter according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0019] The following specific embodiments are used to describe the technical solution of the present invention in detail. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0020] Figure 1 A block diagram of an intelligent monitoring system for suspended particulate matter according to an embodiment of the present invention is exemplarily shown. The system includes: a scattered light intensity data module, which is used to collect scattered light intensity data of a target area through a multispectral sensor array at multiple moments in a current monitoring cycle, wherein the multispectral sensor array includes at least three laser emitters of different wavelengths and corresponding photodetectors; an environmental data module, which is used to obtain environmental data of the target area at multiple moments in the current monitoring cycle, wherein the environmental data includes ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure; a calibrated scattered light intensity data module, which is used to determine calibrated scattered light intensity data at multiple moments in the current monitoring cycle based on the scattered light intensity data, the ambient temperature, and the ambient humidity; a suspended particulate matter mass concentration module, which is used to determine the suspended particulate matter mass concentration of the current monitoring cycle based on the calibrated scattered light intensity data and the ambient wind speed; a corrected suspended particulate matter mass concentration module, which is used to determine the corrected suspended particulate matter mass concentration based on the suspended particulate matter mass concentration and the ambient air pressure; and an air quality status module, which is used to determine the air quality status of the target area in the current monitoring cycle based on the corrected suspended particulate matter mass concentration.

[0021] The intelligent suspended particulate matter monitoring system according to embodiments of the present invention uses a multispectral sensor array to collect scattered light intensity data, more comprehensively capturing the scattering characteristics of suspended particulate matter at different wavelengths, thereby improving monitoring accuracy and reliability. Detection equipment and suspended particulate matter mass concentration can be calibrated and corrected based on environmental factors, further enhancing the accuracy of monitoring results.

[0022] According to one embodiment of the present invention, in the scattered light intensity data module, the interval between adjacent moments can be set to 5 minutes, 10 minutes, etc., and each monitoring period can be set to half an hour, one hour, etc., which is not limited by the present invention. A multispectral sensor array comprising at least three laser emitters of different wavelengths and corresponding photodetectors is arranged in a preset spatial distribution to cover a target area, such as a laboratory or an air quality monitoring point at an urban intersection (approximately 10×10 square meters). Each laser emitter emits a laser of a specific wavelength, such as 650nm red light, 532nm green light, 450nm blue light, etc., and the corresponding photodetector is used to receive and measure the scattered light intensity of suspended particulate matter at that wavelength.

[0023] According to one embodiment of the present invention, in the environmental data module, corresponding sensors or measuring instruments are set in the target area, such as temperature sensors, humidity sensors, anemometers and barometers, and the ambient temperature, ambient humidity, ambient wind speed and ambient air pressure of the target area are measured at multiple moments in the current monitoring cycle.

[0024] According to one embodiment of the present invention, in the scattered light intensity data calibration module, the scattered light intensity data at multiple moments in the current monitoring period are determined based on the scattered light intensity data, the ambient temperature, and the ambient humidity.

[0025] According to one embodiment of the present invention, based on the scattered light intensity data, the ambient temperature and the ambient humidity, the calibration scattered light intensity data at multiple moments in the current monitoring period is determined, including: selecting a first historical monitoring period in which the air quality is good; obtaining the historical scattered light intensity data measured by each photoelectric detector at multiple moments in the first historical monitoring period; calculating the standard deviation of the historical scattered light intensity data at multiple moments in the first historical monitoring period to obtain the historical scattered light intensity standard deviation; determining the weights of multiple photoelectric detectors based on the historical scattered light intensity standard deviation; and determining the calibration scattered light intensity data at multiple moments in the current monitoring period based on the weights of the photoelectric detectors, the scattered light intensity data, the ambient temperature and the ambient humidity.

[0026] According to one embodiment of the present invention, the first historical monitoring period with good air quality is screened out from the existing historical monitoring data, and the historical scattered light intensity data measured by each photodetector at multiple moments in the first historical monitoring period are collected. The standard deviation of the data is calculated to obtain the historical scattered light intensity standard deviation. The historical scattered light intensity standard deviation reflects the volatility or discreteness of the data measured by the photodetector. The smaller the historical scattered light intensity standard deviation, the more reliable the photodetector is, and the photodetector can be given a higher weight. The calibration scattered light intensity data is determined in combination with the ambient temperature and ambient humidity. Temperature changes affect the sensitivity of the optical detector (for example, the response of the photodiode). Too high or too low temperatures will cause measurement errors. Therefore, calibration is required. In a high humidity environment, water molecules in the air will absorb part of the light signal, resulting in a weakening of the light intensity received by the optical detector. Therefore, compensation calibration is required for signal loss caused by humidity.

[0027] According to one embodiment of the present invention, the weights of the plurality of photodetectors are determined according to the standard deviation of the historical scattered light intensity, including: determining the weight of the i-th photodetector according to formula (1): , (1), in, is the standard deviation of the historical scattered light intensity of the i-th photodetector, n is the number of photodetectors, i≤n, and both i and n are positive integers.

[0028] According to one embodiment of the present invention, in formula (1), is the reciprocal of the standard deviation of the historical scattered light intensity of the i-th photodetector. The larger the reciprocal, the more stable the data measured by the photodetector, the more reliable the photodetector, and the higher the weight is given to the photodetector. It represents normalizing the weight of the photodetector to obtain the weight of the i-th photodetector. The larger the weight, the more reliable the photodetector.

[0029] In this way, weights can be set based on the characteristic that the smaller the standard deviation of the historical scattered light intensity, the more reliable the photoelectric detector. That is, higher weights are assigned to more reliable photoelectric detectors, which helps to improve the accuracy of the photoelectric detector detection results.

[0030] According to one embodiment of the present invention, the calibration scattered light intensity data at multiple moments in the current monitoring period is determined based on the weight of the photoelectric detector, the scattered light intensity data, the ambient temperature, and the ambient humidity, including: determining the calibration scattered light intensity data of the i-th photoelectric detector at the k-th moment in the current monitoring period according to formula (2): , (2), in, is the scattered light intensity data of the i-th photoelectric detector at the k-th moment in the current monitoring cycle, is the ambient temperature at the kth moment of the current monitoring period, is the preset temperature threshold, is the ambient humidity at the kth moment of the current monitoring period, is the maximum ambient humidity, and k is a positive integer.

[0031] According to one embodiment of the present invention, in formula (2), is the relative difference between the ambient temperature at the kth moment in the current monitoring period and the preset temperature threshold (for example, 25°C). In order to convert the relative difference into a temperature calibration factor between 0 and 1 through exponential operation, the smaller the temperature calibration factor is, the greater the degree to which the ambient temperature deviates from the preset temperature threshold, and the greater the impact of temperature on the measurement results of the photodetector, that is, the more unreliable the scattered light intensity measurement is, and attenuation is required. The humidity calibration factor is the ratio of the ambient humidity at the kth moment of the current monitoring period to the maximum ambient humidity (for example, 100%). This ratio is multiplied by 0.5 and added to 1 to obtain the humidity calibration factor, which represents the effect of calibration humidity on the measurement of scattered light intensity. When the ambient humidity increases, the light intensity received by the optical detector will decrease. Therefore, the humidity calibration factor increases, thereby compensating for the signal loss caused by humidity. 、 and The scattered light intensity data of the i-th photoelectric detector at the k-th moment in the current monitoring period is weighted to obtain the calibrated scattered light intensity data of the i-th photoelectric detector at the k-th moment in the current monitoring period.

[0032] In this way, the scattered light intensity data can be calibrated based on the measurement stability, ambient temperature and ambient humidity of different photoelectric detectors, the calibrated scattered light intensity data can be determined, and the accuracy of the scattered light intensity can be improved. By comprehensively considering multiple environmental factors, the scattered light intensity measured by the photoelectric detector in the actual environment can be more comprehensively reflected, thereby improving the accuracy of the photoelectric detector's measurement in different environments.

[0033] According to one embodiment of the present invention, in the suspended particulate matter mass concentration module, the suspended particulate matter mass concentration of the current monitoring period is determined based on the calibrated scattered light intensity data and the ambient wind speed.

[0034] According to one embodiment of the present invention, the mass concentration of suspended particulate matter in the current monitoring period is determined based on the calibrated scattered light intensity data and the ambient wind speed, including: averaging the calibrated scattered light intensity data of each photodetector at multiple moments in the current monitoring period to obtain the average calibrated scattered light intensity data of each photodetector in the current monitoring period; obtaining the wavelength data emitted by the laser emitter corresponding to the photodetector; fitting the ambient wind speed with the moments in the monitoring period to determine the wind speed function of the real-time wind speed in the monitoring period; and determining the mass concentration of suspended particulate matter in the current monitoring period based on the average calibrated scattered light intensity data, the wavelength data and the wind speed function.

[0035] According to one embodiment of the present invention, for each photodetector, the calibration scattered light intensity data measured at multiple moments in the current monitoring cycle are averaged to obtain average calibration scattered light intensity data. This average calibration scattered light intensity data can more stably reflect the measurement status of the photodetector throughout the entire monitoring cycle. The larger the average calibration scattered light intensity data, the greater the mass concentration of suspended particulate matter. Light of different wavelengths interacts differently with suspended particulate matter (scattering efficiency). Smaller wavelengths (for example, blue light) scatter more strongly than larger wavelengths (for example, red light). A fitting analysis is performed on the ambient wind speed data and each moment in the monitoring cycle to determine a wind speed function that describes the real-time wind speed changes during the monitoring cycle. The wind speed function can more accurately reflect the changes in wind speed over time. The higher the wind speed, the more the suspended particulate matter is diluted, and the mass concentration of suspended particulate matter needs to be reduced accordingly.

[0036] According to one embodiment of the present invention, the mass concentration of suspended particulate matter in the current monitoring period is determined based on the average calibrated scattered light intensity data, the wavelength data and the wind speed function, including: determining the mass concentration of suspended particulate matter in the current monitoring period according to formula (3): , (3), in, is the average calibration scattered light intensity data of the i-th photodetector in the current monitoring period, is the wavelength data emitted by the i-th laser transmitter, H is the preset coefficient, is the wind speed function, is the start time of the current monitoring cycle, is the end time of the current monitoring cycle, n is the number of photoelectric detectors, i≤n, and i, n, and All are positive integers.

[0037] According to one embodiment of the present invention, in formula (3), according to the Mie scattering effect, the scattering efficiency of particulate matter (eg, PM2.5) is negatively correlated with the wavelength, using Represents the wavelength weight. Short wavelengths are more sensitive to particles than long wavelengths, that is, the greater the scattering efficiency, so the wavelength weight of short wavelengths is higher. The sum of the products of the average calibration scattered light intensity data of multiple photoelectric detectors in the current monitoring period and the wavelength weight is the sum of the scattered light intensities. The greater the sum of the scattered light intensities, the greater the mass concentration of suspended particulate matter. H is a preset coefficient used to convert the sum of the scattered light intensities of the numerator into the actual mass concentration. The unit of H depends on the units of the numerator and denominator, and usually needs to be determined through calibration experiments. For example, in a standard environment (for example, with a constant wind speed of 1m / s) with a known suspended particulate matter mass concentration (for example, 100μg / m³), the scattered light intensity is measured and reversed. ,in, is the known mass concentration of suspended particulate matter. The cumulative effect of wind speed during the monitoring period, that is, the equivalent distance of air flow, reflects the dilution effect of air flow on the diffusion of suspended particulate matter during the monitoring period. The greater the equivalent distance of air flow, the more suspended particulate matter is diluted, and the mass concentration of suspended particulate matter needs to be reduced. Therefore, the mass concentration of suspended particulate matter is positively correlated with the sum of scattered light intensity, which is placed in the numerator, and the mass concentration of suspended particulate matter is negatively correlated with the equivalent distance of air flow, which is placed in the denominator, that is, Indicates the mass concentration of suspended particulate matter in the current monitoring period.

[0038] In this way, weights can be set based on the characteristic that shorter wavelengths have greater scattering efficiency, reducing the impact of wavelength scattering efficiency on scattering signals. The average calibrated scattered light intensity data of multiple wavelengths can be integrated to improve the accuracy of suspended particulate matter mass concentration. At the same time, the interference of ambient wind speed on suspended particulate matter mass concentration monitoring can be corrected.

[0039] According to one embodiment of the present invention, in the suspended particulate matter mass concentration correction module, the corrected suspended particulate matter mass concentration is determined according to the suspended particulate matter mass concentration and the ambient air pressure.

[0040] According to one embodiment of the present invention, determining a corrected suspended particulate matter mass concentration based on the suspended particulate matter mass concentration and the ambient air pressure includes: averaging the ambient air pressures at multiple moments in the current monitoring period to obtain an average ambient air pressure; obtaining the pressure difference between the average ambient air pressure and the standard ambient air pressure; and determining a corrected suspended particulate matter mass concentration based on the pressure difference and the suspended particulate matter mass concentration.

[0041] According to one embodiment of the present invention, the ambient air pressure data at multiple moments in the current monitoring period are arithmetic averaged to obtain the average ambient air pressure in the current monitoring period. The average ambient air pressure is compared with the standard ambient air pressure (for example, 1013 hPa), and the difference between the two is calculated, that is, ,in, is the pressure difference, is the average ambient air pressure, = is the standard ambient pressure. This pressure difference reflects the degree of deviation between the actual monitoring environment and the standard pressure. In gas measurement, changes in air pressure can affect gas density or refractive index. For example, when air pressure decreases, air density decreases, air refractive index decreases, the relative scattering cross section of suspended particles increases, and the suspended particle scattered light signal increases. In other words, the measured suspended particle mass concentration is higher than the true value, so correction is required.

[0042] According to one embodiment of the present invention, determining the corrected suspended particulate matter mass concentration according to the pressure difference and the suspended particulate matter mass concentration includes: determining the corrected suspended particulate matter mass concentration according to formula (4): , (4), in, is the mass concentration of suspended particulate matter in the current monitoring period, is the air pressure coefficient, is the air pressure difference.

[0043] According to one embodiment of the present invention, in formula (4), is the pressure correction factor, where is the pressure coefficient (e.g., 0.0003), which indicates the relative impact of a unit pressure difference (e.g., 1 hPa) on the mass concentration of suspended particulate matter in the current monitoring period. The product of the suspended particulate matter mass concentration of the current monitoring period and the air pressure correction coefficient is the corrected suspended particulate matter mass concentration. When the air pressure increases, the measured suspended particulate matter mass concentration is lower than the true value, and the air pressure correction coefficient needs to be increased. When the air pressure decreases, the measured suspended particulate matter mass concentration is higher than the true value, and the air pressure correction coefficient needs to be reduced. For example, if , then the correction factor is 1.03, which means that the mass concentration of suspended particulate matter in the current monitoring period needs to be increased by 3%. , the correction factor is 0.97, which means that the mass concentration of suspended particulate matter in the current monitoring period needs to be reduced by 3%.

[0044] In this way, the corrected suspended particulate matter mass concentration can be determined by the air pressure difference and the suspended particulate matter mass concentration. Through air pressure correction, the measurement deviation of suspended particulate matter mass concentration caused by air pressure changes can be reduced, thereby improving the environmental adaptability and accuracy of monitoring.

[0045] According to one embodiment of the present invention, in the air quality status module, the air quality status of the target area in the current monitoring period is determined based on the corrected suspended particulate matter mass concentration.

[0046] According to one embodiment of the present invention, the air quality status of the target area in the current monitoring period is determined based on the corrected suspended particulate matter mass concentration, including: if the corrected suspended particulate matter mass concentration is greater than or equal to the first preset suspended particulate matter mass concentration, it is determined that the air quality status of the target area in the current monitoring period is serious; if the corrected suspended particulate matter mass concentration is less than the first preset suspended particulate matter mass concentration and greater than or equal to the second preset suspended particulate matter mass concentration, it is determined that the air quality status of the target area in the current monitoring period is medium; if the corrected suspended particulate matter mass concentration is less than the second preset suspended particulate matter mass concentration, it is determined that the air quality status of the target area in the current monitoring period is good.

[0047] According to one embodiment of the present invention, if the corrected suspended particulate matter mass concentration is greater than or equal to the first preset suspended particulate matter mass concentration (for example, 150μg / m³), it is determined that the air quality condition in the target area of the current monitoring period is serious, and emission reduction measures or early warnings need to be taken immediately. If the corrected suspended particulate matter mass concentration is less than the first preset suspended particulate matter mass concentration, and is greater than or equal to the second preset suspended particulate matter mass concentration (for example, 75μg / m³), it is determined that the air quality condition in the target area of the current monitoring period is medium, and it is recommended to strengthen pollution source control. If the corrected suspended particulate matter mass concentration is less than the second preset suspended particulate matter mass concentration, it is determined that the air quality condition in the target area of the current monitoring period is good, the air quality meets the standard, and routine monitoring can be maintained. This air quality status assessment can intuitively understand the environmental quality and provide strong support for environmental health.

[0048] According to an embodiment of the present invention, the intelligent suspended particulate matter monitoring system collects scattered light intensity data through a multispectral sensor array, which can more comprehensively capture the scattering characteristics of suspended particulate matter at different wavelengths, thereby improving the accuracy and reliability of monitoring. The detection equipment and suspended particulate matter mass concentration can be calibrated and corrected based on environmental factors to improve the accuracy of monitoring results. When determining the weight of the photodetector, the weight can be set based on the characteristic that the smaller the standard deviation of the historical scattered light intensity, the more reliable the photodetector. That is, more reliable photodetectors are assigned higher weights, which helps improve the accuracy of the photodetector detection results. When determining the calibrated scattered light intensity data, the scattered light intensity data can be calibrated based on the measurement stability of different photodetectors, ambient temperature, and ambient humidity. The calibrated scattered light intensity data is determined to improve the accuracy of the scattered light intensity. By comprehensively considering multiple environmental factors, the scattered light intensity measured by the photodetector in the actual environment can be more comprehensively reflected, improving the accuracy of the photodetector's measurements in different environments. When determining the mass concentration of suspended particulate matter, a weight can be set based on the characteristic that shorter wavelengths have greater scattering efficiency, reducing the impact of wavelength scattering efficiency on the scattered signal. The average calibrated scattered light intensity data of multiple wavelengths can be integrated to improve the accuracy of the suspended particulate matter mass concentration. At the same time, the interference of ambient wind speed on the suspended particulate matter mass concentration monitoring can be corrected. When determining the corrected suspended particulate matter mass concentration, the corrected suspended particulate matter mass concentration can be determined by the air pressure difference and the suspended particulate matter mass concentration. Air pressure correction can reduce the measurement deviation of suspended particulate matter mass concentration caused by air pressure changes, improving the environmental adaptability and accuracy of monitoring.

[0049] Figure 2 A flow chart of an intelligent monitoring method for suspended particulate matter according to an embodiment of the present invention is exemplarily shown, the method comprising: step S1, collecting scattered light intensity data of a target area through a multispectral sensor array at multiple moments in a current monitoring cycle, wherein the multispectral sensor array comprises at least three laser emitters of different wavelengths and corresponding photodetectors; step S2, acquiring environmental data of the target area at multiple moments in the current monitoring cycle, wherein the environmental data comprises ambient temperature, ambient humidity, ambient wind speed and ambient air pressure; step S3, determining calibrated scattered light intensity data at multiple moments in the current monitoring cycle based on the scattered light intensity data, the ambient temperature and the ambient humidity; step S4, determining the suspended particulate matter mass concentration of the current monitoring cycle based on the calibrated scattered light intensity data and the ambient wind speed; step S5, determining a corrected suspended particulate matter mass concentration based on the suspended particulate matter mass concentration and the ambient air pressure; step S6, determining the air quality status of the target area in the current monitoring cycle based on the corrected suspended particulate matter mass concentration.

[0050] The present invention may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present invention.

[0051] Those skilled in the art will appreciate that the embodiments of the present invention described above and shown in the accompanying drawings are intended to be illustrative only and are not intended to limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and illustrated in the embodiments. Any variations or modifications may be made to the embodiments of the present invention without departing from the principles described.

Claims

1. An intelligent monitoring system for suspended particulate matter, characterized in that: include: A scattered light intensity data module is used to collect scattered light intensity data of the target area through a multispectral sensor array at multiple moments in the current monitoring cycle, wherein the multispectral sensor array includes at least three laser emitters of different wavelengths and corresponding photodetectors; an environmental data module is used to obtain environmental data of the target area at multiple moments in the current monitoring cycle, wherein the environmental data includes ambient temperature, ambient humidity, ambient wind speed and ambient air pressure; a calibrated scattered light intensity data module is used to determine the calibrated scattered light intensity data at multiple moments in the current monitoring cycle based on the scattered light intensity data, the ambient temperature and the ambient humidity; a suspended particulate matter mass concentration module is used to determine the suspended particulate matter mass concentration of the current monitoring cycle based on the calibrated scattered light intensity data and the ambient wind speed; a corrected suspended particulate matter mass concentration module is used to determine the corrected suspended particulate matter mass concentration based on the suspended particulate matter mass concentration and the ambient air pressure; an air quality status module is used to determine the air quality status of the target area in the current monitoring cycle based on the corrected suspended particulate matter mass concentration.

2. The intelligent monitoring system for suspended particulate matter according to claim 1, characterized in that: Based on the scattered light intensity data, the ambient temperature and the ambient humidity, the calibrated scattered light intensity data at multiple moments in the current monitoring period is determined, including: selecting a first historical monitoring period with good air quality; obtaining historical scattered light intensity data measured by each photoelectric detector at multiple moments in the first historical monitoring period; calculating the standard deviation of the historical scattered light intensity data at multiple moments in the first historical monitoring period to obtain the historical scattered light intensity standard deviation; determining the weights of multiple photoelectric detectors based on the historical scattered light intensity standard deviation; and determining the calibrated scattered light intensity data at multiple moments in the current monitoring period based on the weights of the photoelectric detectors, the scattered light intensity data, the ambient temperature and the ambient humidity.

3. The intelligent monitoring system for suspended particulate matter according to claim 2, characterized in that: According to the historical scattered light intensity standard deviation, the weights of the plurality of photodetectors are determined, including: according to the formula Determine the weight of the i-th photodetector ,in, is the standard deviation of the historical scattered light intensity of the i-th photodetector, n is the number of photodetectors, i≤n, and both i and n are positive integers.

4. The intelligent monitoring system for suspended particulate matter according to claim 3 is characterized in that: According to the weight of the photoelectric detector, the scattered light intensity data, the ambient temperature and the ambient humidity, the calibration scattered light intensity data at multiple moments in the current monitoring period is determined, including: according to the formula Determine the calibration scattered light intensity data of the i-th photodetector at the k-th moment in the current monitoring cycle ,in, is the scattered light intensity data of the i-th photoelectric detector at the k-th moment in the current monitoring cycle, is the ambient temperature at the kth moment of the current monitoring period, is the preset temperature threshold, is the ambient humidity at the kth moment of the current monitoring period, is the maximum ambient humidity, and k is a positive integer.

5. The intelligent monitoring system for suspended particulate matter according to claim 1 is characterized in that: The method comprises the following steps: determining the mass concentration of suspended particulate matter in the current monitoring period based on the calibrated scattered light intensity data and the ambient wind speed, averaging the calibrated scattered light intensity data of each photodetector at multiple moments in the current monitoring period to obtain the average calibrated scattered light intensity data of each photodetector in the current monitoring period; obtaining the wavelength data emitted by the laser emitter corresponding to the photodetector; fitting the ambient wind speed with the moments in the monitoring period to determine the wind speed function of the real-time wind speed in the monitoring period; and determining the mass concentration of suspended particulate matter in the current monitoring period based on the average calibrated scattered light intensity data, the wavelength data and the wind speed function.

6. The intelligent monitoring system for suspended particulate matter according to claim 5, characterized in that: Determining the mass concentration of suspended particulate matter during the current monitoring period based on the average calibrated scattered light intensity data, the wavelength data, and the wind speed function includes: Determine the mass concentration of suspended particulate matter during the current monitoring period ,in, is the average calibration scattered light intensity data of the i-th photodetector in the current monitoring period, is the wavelength data emitted by the i-th laser transmitter, H is the preset coefficient, is the wind speed function, is the start time of the current monitoring cycle, is the end time of the current monitoring cycle, n is the number of photoelectric detectors, i≤n, and i, n, and All are positive integers.

7. The intelligent monitoring system for suspended particulate matter according to claim 1, characterized in that: Determining a corrected suspended particulate matter mass concentration based on the suspended particulate matter mass concentration and the ambient air pressure includes: averaging the ambient air pressures at multiple moments in the current monitoring period to obtain an average ambient air pressure; obtaining a pressure difference between the average ambient air pressure and a standard ambient air pressure; and determining a corrected suspended particulate matter mass concentration based on the pressure difference and the suspended particulate matter mass concentration.

8. The intelligent monitoring system for suspended particulate matter according to claim 7, characterized in that: Determining a corrected suspended particulate matter mass concentration based on the pressure difference and the suspended particulate matter mass concentration includes: Determine the corrected suspended particulate matter mass concentration ,in, is the mass concentration of suspended particulate matter in the current monitoring period, is the air pressure coefficient, is the air pressure difference.

9. The intelligent monitoring system for suspended particulate matter according to claim 1, characterized in that: Based on the corrected suspended particulate matter mass concentration, the air quality status of the target area in the current monitoring period is determined, including: if the corrected suspended particulate matter mass concentration is greater than or equal to the first preset suspended particulate matter mass concentration, the air quality status of the target area in the current monitoring period is determined to be serious; if the corrected suspended particulate matter mass concentration is less than the first preset suspended particulate matter mass concentration and greater than or equal to the second preset suspended particulate matter mass concentration, the air quality status of the target area in the current monitoring period is determined to be medium; if the corrected suspended particulate matter mass concentration is less than the second preset suspended particulate matter mass concentration, the air quality status of the target area in the current monitoring period is determined to be good.

10. A method for intelligent monitoring of suspended particulate matter, characterized in that: include: At multiple moments in the current monitoring cycle, scattered light intensity data of the target area is collected through a multispectral sensor array, wherein the multispectral sensor array includes at least three laser emitters of different wavelengths and corresponding photodetectors; at multiple moments in the current monitoring cycle, environmental data of the target area is acquired, wherein the environmental data includes ambient temperature, ambient humidity, ambient wind speed and ambient air pressure; based on the scattered light intensity data, the ambient temperature and the ambient humidity, calibrated scattered light intensity data at multiple moments in the current monitoring cycle is determined; based on the calibrated scattered light intensity data and the ambient wind speed, the suspended particulate matter mass concentration of the current monitoring cycle is determined; based on the suspended particulate matter mass concentration and the ambient air pressure, a corrected suspended particulate matter mass concentration is determined; based on the corrected suspended particulate matter mass concentration, the air quality status of the target area in the current monitoring cycle is determined.

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