Pollen bioaerosol concentration monitoring system and monitoring method

Abstract

The invention discloses a pollen bioaerosol concentration monitoring system and monitoring method, and relates to the technical field of pollen bioaerosol concentration detection. The monitoring system comprises a power unit, a light source, a detector, a measuring cavity and a data processing unit, the power unit is used for outputting negative pressure power to enable air of a measured environment to enter the measuring cavity, and to-be-measured air is obtained; the air to be detected contains pollen particles; the light source is used for providing incident light for to-be-detected air; the detector is used for receiving an elastic scattering field intensity signal and a fluorescence scattering field intensity signal which are generated after incident light irradiates air to be detected, converting the elastic scattering field intensity signal into a first time domain electric pulse signal and converting the fluorescence scattering field intensity signal into a second time domain electric pulse signal; the data processing unit is electrically connected with the detector; the data processing unit is used for determining the number of pollen particles in the air to be detected according to the first time domain electric pulse signal and the second time domain electric pulse signal. According to the invention, the accuracy and real-time performance of detection can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of pollen bioaerosol concentration detection, and in particular to a pollen bioaerosol concentration monitoring system and a monitoring method. Background Art

[0002] Traditional pollen monitoring methods mainly rely on manual sampling and microscopic analysis, which is time-consuming and labor-intensive, and has poor real-time performance. Light scattering and fluorescence induction technology provides an efficient and rapid method for monitoring pollen bioaerosol concentrations, which can further improve the accuracy and real-time performance of detection. Summary of the invention

[0003] The purpose of the present invention is to provide a pollen bioaerosol concentration monitoring system and a monitoring method, which can improve the accuracy and real-time performance of detection.

[0004] To achieve the above object, the present invention provides the following solutions: A pollen bioaerosol concentration monitoring system, the monitoring system comprising: a power unit, a light source, a detector, a measuring cavity and a data processing unit; The power unit is used to output negative pressure power to make the air of the measured environment enter the measurement chamber to obtain the air to be measured; the air to be measured contains pollen particles; The light source is used to provide incident light for the air to be tested; The detector is used to receive the elastic scattering field intensity signal and the fluorescent scattering field intensity signal generated after the incident light irradiates the air to be measured, and convert the elastic scattering field intensity signal into a first time domain electrical pulse signal, and convert the fluorescent scattering field intensity signal into a second time domain electrical pulse signal; The data processing unit is electrically connected to the detector; the data processing unit is used to determine the number of pollen particles in the air to be tested based on the first time-domain electrical pulse signal and the second time-domain electrical pulse signal.

[0005] Optionally, the measurement cavity comprises an inlet, an outlet, a light source illumination window and a spectrum detection window; The air to be measured enters the measuring chamber from the inlet; The light source provides incident light to the air to be tested from the light source illumination window; The detector receives, from the spectrum detection window, elastic scattering field intensity signals and fluorescent scattering field intensity signals generated when the incident light irradiates the pollen particles in the air to be detected; The air to be measured leaves the measuring chamber from the outlet after being detected by the detector.

[0006] Optionally, the incident light is laser.

[0007] Optionally, a host computer is also included; The above-mentioned host computer is connected to the above-mentioned data processing unit; The host computer is used to display the number of pollen particles in the air to be tested at each moment within the first preset time period.

[0008] A method for monitoring the concentration of pollen bioaerosols is applied to the above-mentioned pollen bioaerosol concentration monitoring system, and the method comprises: In response to a pollen bioaerosol concentration monitoring request, a time-domain electrical pulse signal of an elastic scattering field intensity signal and a fluorescent scattering field intensity signal generated after the air to be tested is irradiated by a light source is obtained; Extracting the characteristics of the time-domain electric pulse signal of the elastic scattering field intensity signal to obtain an elastic scattering characteristic signal; Extracting the characteristics of the time-domain electrical pulse signal of the fluorescence scattering field intensity signal according to the elastic scattering characteristic signal to obtain the fluorescence scattering characteristic signal; Determining the total area of ​​pollen particles in the air to be tested according to the physical properties of the pollen particles and the fluorescent scattering characteristic signal; The number of pollen particles in the air to be tested is determined according to a preset area threshold of a pollen particle and the total area of ​​the pollen particles in the air to be tested.

[0009] Optionally, determining the total area of ​​pollen particles in the air to be tested according to the physical properties of the pollen particles and the fluorescence scattering characteristic signal includes: Determining a width threshold and an amplitude threshold of the fluorescence scattering characteristic signal of the pollen particles according to the physical properties of the pollen particles; Determine a characteristic interval greater than a width threshold and an amplitude threshold from the above-mentioned fluorescence scattering characteristic signal; The area of ​​the characteristic interval is calculated by the integration method to obtain the total area of ​​the pollen particles in the air to be tested.

[0010] Optionally, before executing the step of “extracting the characteristics of the time-domain electrical pulse signal of the elastic scattering field intensity signal to obtain the elastic scattering characteristic signal”, the method further includes: The time domain electrical pulse signals of the elastic scattering field intensity signal and the fluorescent scattering field intensity signal are subjected to a noise removal operation to obtain the denoised time domain electrical pulse signals of the elastic scattering field intensity signal and the denoised time domain electrical pulse signals of the fluorescent scattering field intensity signal.

[0011] Optionally, performing a noise removal operation on the time-domain electrical pulse signals of the elastic scattering field intensity signal and the fluorescent scattering field intensity signal to obtain the denoised time-domain electrical pulse signals of the elastic scattering field intensity signal and the denoised time-domain electrical pulse signals of the fluorescent scattering field intensity signal, comprises: Removing the noise of the time-domain electric pulse signal of the elastic scattering field intensity signal to obtain a first denoised pulse signal; removing the noise of the time-domain electric pulse signal of the fluorescence scattering field intensity signal to obtain a second denoised pulse signal; Obtaining the equipment noise of the above-mentioned pollen bioaerosol concentration monitoring system; Removing the device noise from the first denoised pulse signal to obtain a denoised time-domain electrical pulse signal of the elastic scattering field intensity signal; The device noise in the second denoised pulse signal is removed to obtain a denoised time-domain electrical pulse signal of the fluorescence scattering field intensity signal.

[0012] Optionally, the above method further includes: Calculating the volume of the air to be measured within a second preset time period according to the gas flow rate of the power unit; The pollen bioaerosol concentration of the air to be tested is calculated based on the number of pollen particles in the air to be tested and the volume.

[0013] Optionally, according to the pollen bioaerosol concentration of the air to be tested, the pollen bioaerosol concentration of the air to be tested at each moment within the first preset time period is plotted.

[0014] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects: The present invention discloses a pollen bioaerosol concentration monitoring system and monitoring method, wherein a power unit is used to output negative pressure power so that the air of the measured environment enters the measuring chamber to obtain the measured air; wherein the measured air contains pollen particles; a light source is used to provide incident light for the measured air; a detector is used to receive the elastic scattering field intensity signal and the fluorescent scattering field intensity signal generated after the incident light irradiates the measured air, and the elastic scattering field intensity signal is converted into a first time domain electric pulse signal, and the fluorescent scattering field intensity signal is converted into a second time domain electric pulse signal; a data processing unit is used to determine the number of pollen particles in the measured air according to the first time domain electric pulse signal and the second time domain electric pulse signal. The present invention utilizes the physical characteristics of pollen particles, collects the elastic scattering field intensity signal and the fluorescent scattering field intensity signal of the pollen particles, calculates the number of pollen particles, and improves the accuracy and real-time performance of the detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A schematic plan view of a pollen bioaerosol concentration monitoring system provided by one embodiment of the present invention; Figure 2 Flowchart for elastic light scattering and laser induced fluorescence signal acquisition; Figure 3 Schematic diagram of the principle of laser induced fluorescence; Figure 4 This is a flow chart of the method for monitoring the concentration of pollen bioaerosols; Figure 5 A flow chart of a method for monitoring pollen bioaerosol concentration provided by another embodiment; Figure 6 It is the signal preprocessing flow chart; Figure 7 A flowchart for data monitoring and analysis; Figure 8 This is a schematic diagram of the signal of a type of pollen collected; Fig. 9 This is a schematic diagram of the signals of another type of pollen collected.

[0017] Explanation of symbols: Measuring cavity—1, spectrum detection window—2, light source illumination window—3, pollen particles—4. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 creative work are within the scope of protection of the present invention.

[0019] The purpose of the present invention is to provide a pollen bioaerosol concentration monitoring system and a monitoring method, aiming to improve the accuracy and real-time performance of detection.

[0020] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0021] Example 1 like Figure 1 As shown, a pollen bioaerosol concentration monitoring system in this embodiment includes: a power unit, a light source, a detector, a measuring chamber 1 and a data processing unit.

[0022] The power unit is used to output negative pressure power to make the air of the measured environment enter the measuring chamber 1 to obtain the air to be measured; the air to be measured contains pollen particles 4.

[0023] The light source is used to provide incident light for the air to be tested.

[0024] The detector is used to receive the elastic scattering field intensity signal and the fluorescent scattering field intensity signal generated after the incident light irradiates the air to be tested, and convert the elastic scattering field intensity signal into a first time domain electrical pulse signal, and convert the fluorescent scattering field intensity signal into a second time domain electrical pulse signal.

[0025] The data processing unit is electrically connected to the detector; the data processing unit is used to determine the number of pollen particles 4 in the air to be tested based on the first time domain electrical pulse signal and the second time domain electrical pulse signal.

[0026] In practical applications, such as Figure 2 As shown in the figure, under the action of the air pump, the particles in the environment pass through the photosensitive area one by one, and after colliding with the incident light, they will produce corresponding elastic scattered light and induced fluorescent scattered light. These signals represent the physical parameters and biological activity of the particles. These signals can be used to calculate whether the measured particles are pollen.

[0027] Among them, the measuring chamber 1 includes an entrance, an exit, a light source illumination window 3 and a spectrum detection window 2; the air to be measured enters the measuring chamber 1 from the entrance; the light source provides incident light to the air to be measured from the light source illumination window 3; the detector receives the elastic scattering field intensity signal and the fluorescent scattering field intensity signal generated by the incident light irradiating the pollen particles 4 in the air to be measured from the spectrum detection window 2; the air to be measured after being detected by the detector leaves the measuring chamber 1 from the exit.

[0028] Optionally, the incident light is laser.

[0029] In addition, it also includes a host computer; the host computer is connected to the data processing unit; the host computer is used to display the number of pollen particles 4 in the air to be tested at each moment within the first preset time period.

[0030] like Figure 3As shown in the figure, pollen is active and is a type of bioaerosol. The particles contain organic molecules that characterize biological activity, such as phenylalanine, tyrosine, tryptophan, nicotinamide adenine dinucleotide (NADH) and riboflavin. Under laser light induction, they will produce intrinsic fluorescence. The method of using intrinsic fluorescence characteristics to distinguish the biological properties of biological particles such as pollen and bacteria is called laser-induced intrinsic fluorescence detection. The vast majority of non-biological particles can be distinguished from the characteristic of whether intrinsic fluorescence can be stimulated, and preliminary classification of biological particles such as pollen and bacteria and non-biological particles can be performed. Endogenous fluorescence, also known as autofluorescence, is a photoluminescence phenomenon that exists in the substance itself, that is, when a substance is excited by the incident electromagnetic field and enters a high-energy state, it is reduced to the ground state in a very short time and emits emission light with a longer wavelength than the incident field.

[0031] In practical applications, particles in the measured environment, under the action of the airflow power source, carry monodisperse particles into the measuring cavity 1 in the form of continuous airflow, and the measured particles pass through the measuring light area formed by the overlap of the measuring light spot and the sample flow one by one, and at the same time generate elastic scattered light that can characterize the particle size parameters of the measured single particle and endogenous fluorescence that characterizes the content of fluorescent substances in the measured particle. Photoelectric detectors and analysis and recognition algorithms are used to obtain and analyze light signal information and judge the characteristics of the measured particles in real time, identify pollen particles 4 and other particles, and retain the measured pollen data.

[0032] The air pump is used as a power unit, and the power unit is used as a power source for the pollen bioaerosol concentration monitoring system, providing a stable negative pressure power for the pollen bioaerosol concentration monitoring system to collect samples, so that the particles in the measured environment can continuously pass through the photosensitive area; the light source can provide a stable incident electromagnetic field for the spectral measurement of pollen, and when the incident photons collide with the pollen particles entrained in the sample airflow, corresponding elastic scattering fields and fluorescence scattering fields will be generated; at this time, these field intensity signals representing the physical parameters and biological activity of the measured particles are collected and received by the photoelectric detector, and enter the data processing unit in the form of time domain electrical pulse signals; the data processing unit extracts and processes the useful information in the continuous pulse signal; finally, these data representing the information of pollen and other small particles in the measured environment are uploaded to the host computer for display.

[0033] Example 2 like Figure 4 As shown, the present invention also provides a method for monitoring the concentration of pollen bioaerosols, which is applied to the pollen bioaerosol concentration monitoring system in Example 1, and the method includes steps S1 to S5.

[0034] Step S1: in response to a pollen bioaerosol concentration monitoring request, obtaining time-domain electrical pulse signals of elastic scattering field intensity signals and fluorescent scattering field intensity signals generated when the air to be tested is irradiated by a light source.

[0035] In practical applications, a photoelectric detector and an acquisition card are combined, and the particles to be measured pass through the measurement light zone formed by the overlap of the measurement light spot and the sample flow one by one. At the same time, elastic scattered light that can characterize the particle size parameters of the single particle to be measured and endogenous fluorescence that characterizes the content of fluorescent substances in the particles to be measured are generated. These light are received by the photoelectric detector and enter the data processing unit in the form of a time-domain electrical pulse signal. Useful information in the continuous pulse signal is extracted and processed, for example, noise in the signal is removed to obtain useful information.

[0036] Before executing step S2, Figure 5 As shown, the method further includes step S10: Step S10: De-noising the time domain electrical pulse signals of the elastic scattering field intensity signal and the fluorescent scattering field intensity signal to obtain de-noised time domain electrical pulse signals of the elastic scattering field intensity signal and de-noised time domain electrical pulse signals of the fluorescent scattering field intensity signal.

[0037] S10 specifically includes: Step S101: removing noise from a time-domain electrical pulse signal of an elastic scattering field intensity signal to obtain a first denoised pulse signal.

[0038] Step S102: removing the noise of the time-domain electrical pulse signal of the fluorescence scattering field intensity signal to obtain a second denoised pulse signal.

[0039] As a specific embodiment, since the optical path module and the acquisition card module have certain noises themselves, they need to be pre-processed to distinguish the noise from the particle signal and perform the next step of operation on the particle signal.

[0040] Step S103: obtaining the equipment noise of the pollen bioaerosol concentration monitoring system in Example 1.

[0041] As a specific example, Figure 6 As shown in the figure, a set of equipment noise data is calibrated by air sampling. The equipment noise is calculated using the five-point sliding average method or other methods.

[0042] Equipment empty sampling signal: , where K is the collected signal of the scattered light channel, is the signal collected by the acquisition card at a single time, i=0,1,2,...,n-1, k[0] represents k0 collected at a single time in the collection signal K of the scattered light channel, k[i] represents k collected at a single time in the collection signal K of the scattered light channel iFor example, for an acquisition card with a sampling rate of 20M, the single acquisition time is 50ns, that is, data is collected every 50ns.

[0043] Due to the limitation of five-point linear smoothing, it is impossible to smooth and denoise the boundary signal, so boundary expansion is performed at the boundary, such as .

[0044] Denoising by signal augmentation: ; in: Is the current point of the signal The values ​​of two points on the left and right; is the smoothed signal.

[0045] Use the moving average method to find the noise baseline of the smoothed signal: Select a window size of 5, remove the maximum and minimum values ​​in the window, calculate the average value of the window, and move the window with a step size equal to the window size to calculate the window average value. Finally, average all the average values ​​to calculate the noise baseline.

[0046] Step S104: removing device noise from the first denoised pulse signal to obtain a time-domain electrical pulse signal of a denoised elastic scattering field intensity signal.

[0047] Step S105: removing the device noise in the second denoised pulse signal to obtain a denoised time-domain electrical pulse signal of the fluorescence scattering field intensity signal.

[0048] Step S2: extracting the characteristics of the time-domain electric pulse signal of the elastic scattering field intensity signal to obtain an elastic scattering characteristic signal.

[0049] The collected signal can be regarded as a one-dimensional vector V. After the measured particle passes through the photosensitive area, the scattered light signal is received by the photoelectric converter and converted into an electrical signal, which is collected by the acquisition card as an analog electrical signal, where the signal is defined as M. The analog electrical signal is denoised by the calibrated device noise, and the denoised signal is regarded as a one-dimensional vector V. The first-order difference of vector V is performed: ;in Represents the analog electrical signal collected by the acquisition card in a single shot.

[0050] ,in Among them, v i It represents the analog electrical signal of the scattered light collected by the acquisition card once through the photoelectric converter. For example, for an acquisition card with a sampling rate of 20M, the single acquisition time is 50ns, that is, data is collected every 50ns. V(i+1) represents the data of the i+1th index in the vector V. X is the data vector after the first-order difference.

[0051] Perform a sign operation on the differenced function and determine the sign of the trend: ;

[0052] and ,but ; and ,but ; in, Represents each data of the data vector X after the first-order difference; i is the vector index.

[0053] Adjust the sign according to the trend signal and pre-set a rising (falling) sign threshold (Usually 1-2). When the number of consecutive rising signals of the Trend function is not greater than , then the signal is considered a downward trend.

[0054]

[0055] After performing a first-order difference on the Trend function, R=diff(Trend) is obtained, and the obtained difference function R is traversed, if R(i)=2, then i+1 is the characteristic signal of the elastic light scattering signal.

[0056] ;

[0057] Step S3: extracting the characteristics of the time-domain electrical pulse signal of the fluorescence scattering field intensity signal according to the elastic scattering characteristic signal to obtain the fluorescence scattering characteristic signal.

[0058] In practical applications, characteristic signals of laser-induced fluorescence and other information can be extracted based on the signal characteristics of the elastic light scattering signal. By finding the characteristic signal of the scattered light signal on the scattering signal M as described above, and taking the equipment noise baseline as the reference standard, continuous signals are found on both sides of the characteristic signal index as characteristic intervals. According to physical principles, the scattering signal and fluorescence signal of the same pollen passing through the photosensitive area are simultaneous, so the electrical signals collected by the acquisition card are synchronized. Therefore, the index of the characteristic interval of the scattered light signal can be directly moved to the fluorescence signal to find the characteristic interval of the fluorescence signal.

[0059] Step S4: Determine the total area of ​​pollen particles in the air to be tested according to the physical properties of the pollen particles and the fluorescence scattering characteristic signals.

[0060] S4 includes: Step S41: Determine the width threshold and amplitude threshold of the fluorescence scattering characteristic signal of the pollen particles according to the physical properties of the pollen particles.

[0061] In practical applications, the width and amplitude characteristics of the laser-induced fluorescence characteristic signal can be extracted based on the physical properties of the particles.

[0062] The width of the characteristic interval of the electrical signal of the scattered light collected by the acquisition card is related to the light intensity of the photoelectric converter, and the intensity of the scattered light is related to the particle size. Due to synchronization, the width of the characteristic interval of fluorescence can be determined.

[0063] The size of the fluorescence signal is related to the presence of organic molecules such as phenylalanine, tyrosine, tryptophan, nicotinamide adenine dinucleotide (NADH) and riboflavin inside the particle that characterize biological activity. Therefore, after meeting a specific signal amplitude threshold, the signal can be determined to be a characteristic signal of the fluorescence signal. (This method removes the abnormal values ​​caused by the noise of the fluorescence signal F) Step S42: Determine a characteristic interval greater than a width threshold and an amplitude threshold from the fluorescence scattering characteristic signal.

[0064] Step S43: applying the integration method to calculate the area of ​​the characteristic interval to obtain the total area of ​​the pollen particles in the air to be measured.

[0065] In practical applications, the laser-induced fluorescence characteristic signal is calculated according to the integral method under the conditions of satisfying the signal width and amplitude. Specifically, in order to avoid the interference of fluorescence signal noise in the experimental results, the present invention uses the integral method to calculate the area of ​​the fluorescence signal under the characteristic area.

[0066] ; Considering that the single acquisition time of the acquisition card is fixed, the above formula can be simplified to: ;

[0067] Among them, x0,x1,...x n is the single electrical signal of the fluorescence signal in the characteristic interval; a and b are the left and right boundaries of the interval respectively; f(x) is the integral function, which divides the interval [a, b] into n equal parts, f(x0)=f(a), f(x n )=f(b), ,f(x i ) is the corresponding function value.

[0068] Step S5: determining the number of pollen particles in the air to be tested according to a preset area threshold of a pollen particle and the total area of ​​pollen particles in the air to be tested.

[0069] In actual applications, a pollen area threshold is pre-set based on the result of feature area calculation. If the conditions are met, it can be determined as pollen, and the signal of the feature area is saved, and the scattering signal and fluorescence signal of the feature area are saved (to reduce device memory consumption).

[0070] In addition, the pollen bioaerosol concentration monitoring methods also include: The volume of the air to be tested within the second preset time period is calculated according to the gas flow rate of the power unit; and the pollen bioaerosol concentration of the air to be tested is calculated according to the number and volume of pollen particles in the air to be tested.

[0071] In practical applications, the number of pollen can be calculated according to the above formula. Since the gas flow rate (S) inhaled by the device is constant, the volume of gas inhaled within the corresponding time (T) can be calculated to calculate the pollen bioaerosol concentration (C).

[0072] ;

[0073] Among them, the unit of S is L / min, T is s, and C is particles / cubic meter.

[0074] According to the pollen bioaerosol concentration of the air to be tested, the pollen bioaerosol concentration of the air to be tested at each moment in the first preset time period is plotted. A pollen bioaerosol concentration time series graph is plotted using a data visualization tool. For example, the pollen bioaerosol concentration at different times is calculated according to the above.

[0075] The data is sent to the cloud using IoT card technology to generate real-time pollen bioaerosol concentration and distribution maps. Combined with big data and artificial intelligence technology, pollen monitoring equipment can achieve more accurate pollen bioaerosol concentration predictions and improve the automation and intelligence level of the monitoring system. For example, Figure 7 As shown, on the server side, the weather factors and environmental factors (temperature, humidity, pressure, etc.) are combined through the time series ARIMA model to analyze and predict the future pollen bioaerosol concentration, thereby improving the automation and intelligence level of the monitoring system. Specifically, according to the number of pollen inverted each time, the number of pollen inverted can be accumulated every ten minutes, and the cumulative number of pollen can be transmitted, including environmental factors: longitude and latitude, temperature, humidity, pressure, wind speed, wind direction, etc. The accumulated pollen data is visualized to generate a pollen time series diagram, and the accumulated pollen data and environmental factors (that is, longitude and latitude, temperature, humidity, pressure, wind speed, wind direction, etc.) are saved as json files. In addition, the web side can draw pollen distribution maps, concentration maps, and pollen prediction maps based on the transmitted data.

[0076] Figure 8 and Fig. 9 They are schematic diagrams of signals collected by the device for different pollens, where the horizontal axis is time (or the number of signals collected by the acquisition card in a single time), the vertical axis is the signal voltage signal, the left side is 405 scattering signals, and the right side is 520 fluorescence signals. It can be clearly seen from the spectrum that the positions of the characteristic values ​​of the fluorescence signal and the scattering model are consistent, which is in line with the physical principles discussed in Example 1. In addition, it can be found that the greater the intensity of the scattering signal, the wider the width of the signal, indicating that the diameter of the particle is larger, so the larger the induced fluorescence signal is, which meets the trend of the spectrum. Further, in the subsequent optimization process, it can be considered to distinguish pollen types based on the width of the horizontal axis interval.

[0077] The present invention obtains pollen bioaerosol concentration signals through elastic light scattering and laser induced fluorescence technology, and processes and analyzes the pollen bioaerosol concentration signals to obtain actual pollen bioaerosol concentration values, so that the present invention can operate in real time in an environment and provide accurate pollen bioaerosol concentration data, thereby realizing efficient, accurate and real-time pollen monitoring, improving the degree of automation of pollen monitoring, providing data support for allergy patients, medical institutions and other users who need pollen bioaerosol concentration data, and having broad application prospects and market value.

[0078] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0079] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A pollen bioaerosol concentration monitoring system, characterized in that: The monitoring system comprises: a power unit, a light source, a detector, a measuring cavity and a data processing unit; The power unit is used to output negative pressure power to make the air of the measured environment enter the measuring cavity to obtain the air to be measured; the air to be measured contains pollen particles; The light source is used to provide incident light for the air to be tested; The detector is used to receive the elastic scattering field intensity signal and the fluorescent scattering field intensity signal generated after the incident light irradiates the air to be measured, and convert the elastic scattering field intensity signal into a first time domain electrical pulse signal, and convert the fluorescent scattering field intensity signal into a second time domain electrical pulse signal; The data processing unit is electrically connected to the detector; the data processing unit is used to determine the number of pollen particles in the air to be tested according to the first time domain electrical pulse signal and the second time domain electrical pulse signal.

2. The pollen bioaerosol concentration monitoring system according to claim 1, characterized in that: The measuring cavity comprises an inlet, an outlet, a light source illumination window and a spectrum detection window; The air to be measured enters the measuring chamber from the inlet; The light source provides incident light to the air to be measured from the light source illumination window; The detector receives, from the spectrum detection window, elastic scattering field intensity signals and fluorescent scattering field intensity signals generated after the incident light irradiates the pollen particles in the air to be detected; The air to be measured leaves the measuring chamber from the outlet after being detected by the detector.

3. The pollen bioaerosol concentration monitoring system according to claim 1, characterized in that: The incident light is laser.

4. The pollen bioaerosol concentration monitoring system according to claim 1, characterized in that: It also includes the host computer; The host computer is connected to the data processing unit; The host computer is used to display the number of pollen particles in the air to be tested at each moment within the first preset time period.

5. A method for monitoring pollen bioaerosol concentration, characterized in that: The pollen bioaerosol concentration monitoring system according to any one of claims 1 to 4, the method comprising: In response to a pollen bioaerosol concentration monitoring request, a time-domain electrical pulse signal of an elastic scattering field intensity signal and a fluorescent scattering field intensity signal generated after the air to be measured is irradiated by a light source is obtained; Extracting the characteristics of the time-domain electric pulse signal of the elastic scattering field intensity signal to obtain an elastic scattering characteristic signal; Extracting the characteristics of the time-domain electrical pulse signal of the fluorescence scattering field intensity signal according to the elastic scattering characteristic signal to obtain the fluorescence scattering characteristic signal; Determining the total area of ​​pollen particles in the air to be tested according to the physical properties of the pollen particles and the fluorescence scattering characteristic signal; The number of pollen particles in the air to be tested is determined according to a preset area threshold of a pollen particle and the total area of ​​the pollen particles in the air to be tested.

6. The method for monitoring pollen bioaerosol concentration according to claim 5, characterized in that: The method of determining the total area of ​​pollen particles in the air to be tested according to the physical properties of the pollen particles and the fluorescence scattering characteristic signal comprises: Determining a width threshold and an amplitude threshold of a fluorescence scattering characteristic signal of the pollen particles according to the physical properties of the pollen particles; Determining a characteristic interval greater than a width threshold and an amplitude threshold from the fluorescence scattering characteristic signal; The area of ​​the characteristic interval is calculated by using the integration method to obtain the total area of ​​the pollen particles in the air to be tested.

7. The method for monitoring pollen bioaerosol concentration according to claim 5, characterized in that: Before executing the step of "extracting the characteristics of the time-domain electrical pulse signal of the elastic scattering field intensity signal to obtain the elastic scattering characteristic signal", the method further includes: A noise removal operation is performed on the time-domain electrical pulse signals of the elastic scattering field intensity signal and the fluorescent scattering field intensity signal to obtain a denoised time-domain electrical pulse signal of the elastic scattering field intensity signal and a denoised time-domain electrical pulse signal of the fluorescent scattering field intensity signal.

8. The method for monitoring pollen bioaerosol concentration according to claim 7, characterized in that: The method comprises: performing a noise removal operation on the time domain electrical pulse signals of the elastic scattering field intensity signal and the fluorescent scattering field intensity signal to obtain the denoised time domain electrical pulse signals of the elastic scattering field intensity signal and the denoised time domain electrical pulse signals of the fluorescent scattering field intensity signal, comprising: Removing noise from the time-domain electrical pulse signal of the elastic scattering field intensity signal to obtain a first denoised pulse signal; removing noise from the time-domain electrical pulse signal of the fluorescence scattering field intensity signal to obtain a second denoised pulse signal; Obtaining the equipment noise of the pollen bioaerosol concentration monitoring system according to any one of claims 1 to 4; Removing the device noise from the first denoised pulse signal to obtain a denoised time-domain electrical pulse signal of the elastic scattering field intensity signal; The device noise in the second denoised pulse signal is removed to obtain a denoised time-domain electrical pulse signal of the fluorescence scattering field intensity signal.

9. The method for monitoring pollen bioaerosol concentration according to claim 5, characterized in that: The method further comprises: Calculating the volume of the air to be measured within a second preset time period according to the gas flow rate of the power unit; The pollen bioaerosol concentration of the air to be tested is calculated according to the number of pollen particles in the air to be tested and the volume.

10. The method for monitoring pollen bioaerosol concentration according to claim 9, characterized in that: According to the pollen bioaerosol concentration of the air to be tested, the pollen bioaerosol concentration of the air to be tested at each moment within a first preset time period is plotted.

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