Online monitoring and early warning method and system for biological aerosol

Abstract

The invention discloses an online monitoring and early warning method and system for biological aerosol, and belongs to the field of biological aerosol monitoring, and the method comprises the steps: carrying out the dynamic monitoring of the biological aerosol at a first position in a target scene, and obtaining first real-time monitoring data; analyzing the first real-time monitoring data to obtain a first biological aerosol concentration; transmitting the first real-time monitoring data and the first bioaerosol concentration to a monitoring and early warning center; analyzing the first real-time monitoring data through a monitoring calculation unit to obtain a first biological aerosol predicted concentration; and dynamically displaying the first biological aerosol predicted concentration and the first biological aerosol concentration through an early warning display unit, and generating a first risk early warning according to dynamic display information. According to the invention, the technical problems of single monitoring data, slow response and inaccurate early warning of the existing biological aerosol are solved; the technical effects of comprehensively monitoring and timely responding to the biological aerosol and improving the early warning accuracy are achieved.

Description

Technical Field

[0001] The present invention relates to the field of bioaerosol monitoring, and in particular to an online monitoring and early warning method and system for bioaerosol. Background Art

[0002] As an important environmental pollutant, bioaerosols have attracted great attention for their monitoring and prevention. Existing bioaerosol monitoring mostly uses a single optical sensor for detection, and the monitoring data is not comprehensive, and multi-dimensional monitoring and analysis cannot be performed; at the same time, the monitoring data needs to be remotely transmitted to the center through the network for analysis and processing, which has a certain delay and slow response speed; in addition, the early warning judgment is mainly based on the analysis results of the monitoring center, lacks the original data verification from the monitoring terminal, and has a certain uncertainty. In general, there is still room for improvement in the comprehensiveness of existing bioaerosol monitoring, response speed and accuracy of early warning. Summary of the invention

[0003] This application provides an online monitoring and early warning method and system for bioaerosols, aiming to solve the technical problems of existing bioaerosol monitoring data being single, slow response and inaccurate early warning.

[0004] In view of the above problems, the present application provides an online monitoring and early warning method and system for bioaerosols.

[0005] In a first aspect disclosed in the present application, a method for online monitoring and early warning of bioaerosols is provided, the method comprising: dynamically monitoring a first position in a target scene by a first dual-channel monitoring device in a distributed dual-channel monitoring device to obtain first real-time monitoring data; analyzing the first real-time monitoring data by a first computing center in the first dual-channel monitoring device to obtain a first bioaerosol concentration, the first bioaerosol concentration having an identifier of first position information of the first position; transmitting the first real-time monitoring data and the first bioaerosol concentration to a monitoring and early warning center through an information transmission network; analyzing the first real-time monitoring data by a monitoring computing unit of the monitoring and early warning center to obtain a predicted concentration of the first bioaerosol; dynamically displaying the predicted concentration of the first bioaerosol and the first bioaerosol concentration by an early warning display unit of the monitoring and early warning center, and generating a first risk early warning based on the dynamic display information.

[0006] Another aspect disclosed in the present application provides an online monitoring and early warning system for bioaerosols, the system comprising: an aerosol dynamic monitoring module, used to perform bioaerosol dynamic monitoring on a first position in a target scene through a first dual-channel monitoring device in a distributed dual-channel monitoring device to obtain first real-time monitoring data; a monitoring data analysis unit, used to analyze the first real-time monitoring data through a first computing center in the first dual-channel monitoring device to obtain a first bioaerosol concentration, the first bioaerosol concentration having an identifier of first position information of the first position; an information transmission module, used to transmit the first real-time monitoring data and the first bioaerosol concentration to a monitoring and early warning center through an information transmission network; an aerosol predicted concentration module, used to analyze the first real-time monitoring data through a monitoring computing unit of a monitoring and early warning center to obtain a first bioaerosol predicted concentration; and a risk warning generation module, used to dynamically display the first bioaerosol predicted concentration and the first bioaerosol concentration through a warning display unit of the monitoring and early warning center, and generate a first risk warning based on the dynamic display information.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: The adoption of a distributed dual-channel monitoring device can realize monitoring of multiple locations of the target scene and improve the comprehensiveness of monitoring; the dual-channel monitoring device includes an optical channel and an acoustic channel to realize multi-dimensional monitoring of bioaerosols; a first computing center is set in the first dual-channel monitoring device to realize edge computing; the first computing center analyzes the monitoring data to obtain the bioaerosol concentration and realize local data analysis and processing; the monitoring data and the bioaerosol concentration are transmitted to the monitoring and early warning center through the information network to realize remote transmission of data; the monitoring and early warning center predicts and analyzes the data to obtain the predicted bioaerosol concentration and realizes comprehensive analysis of the data at the center; the predicted concentration is dynamically displayed and compared with the edge calculated concentration to realize verification of multi-source data; the technical solution of generating risk warnings based on displayed information solves the technical problems of single existing bioaerosol monitoring data, slow response and inaccurate warnings; and achieves the technical effect of comprehensive monitoring and timely response to bioaerosols and improving the accuracy of warnings.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 A schematic flow chart of an online monitoring and early warning method for bioaerosols is provided for the embodiment of the present application; Figure 2A schematic flow chart of obtaining first real-time monitoring data in an online monitoring and early warning method for bioaerosols is provided for an embodiment of the present application; Figure 3 A structural schematic diagram of an online monitoring and early warning system for bioaerosols is provided for an embodiment of the present application.

[0010] Explanation of the reference numerals: aerosol dynamic monitoring module 11 , monitoring data analysis unit 12 , information transmission module 13 , aerosol prediction concentration module 14 , risk warning generation module 15 . DETAILED DESCRIPTION

[0011] The overall idea of ​​the technical solution provided by this application is as follows: The embodiment of the present application provides an online monitoring and early warning method and system for bioaerosols. First, a distributed dual-channel monitoring device is used to monitor the bioaerosol concentration at multiple locations of the target scene. Through the combination of optical channels and acoustic channels, multi-dimensional data collection is achieved, which improves the comprehensiveness of monitoring. Then, an edge computing function is set in the monitoring device to perform local analysis on the collected monitoring data to obtain the real-time concentration value of the bioaerosol. Since edge computing avoids long-distance data transmission, the response time is greatly shortened. Then, the original monitoring data and the concentration values ​​obtained by edge calculation are transmitted to the back-end monitoring and early warning center through the information network at the same time. The center conducts a multi-faceted comprehensive analysis and prediction of the massive monitoring data to obtain the predicted value of the bioaerosol concentration. Finally, by dynamically comparing and displaying the edge calculation concentration value and the predicted concentration value, multi-source data verification from the monitoring terminal and the center prediction is realized, and then the bioaerosol pollution risk is comprehensively judged to achieve accurate and reliable risk warning.

[0012] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically described below in conjunction with the drawings in the specification. Example 1

[0013] like Figure 1 As shown, an embodiment of the present application provides an online monitoring and early warning method for bioaerosols, which is applied to an online monitoring and early warning system for bioaerosols, and the system is communicatively connected with a distributed dual-channel monitoring device, an information transmission network, and a monitoring and early warning center.

[0014] Specifically, the present application discloses an online monitoring and early warning method for bioaerosols, which is applied to an online monitoring and early warning system for bioaerosols, and the system is connected to a distributed dual-channel monitoring device, an information transmission network, and a monitoring and early warning center. Among them, the distributed dual-channel monitoring device is a monitoring device network composed of multiple dual-channel monitoring devices, and each dual-channel monitoring device in the monitoring device network is evenly distributed and arranged at different positions of the target scene (target monitoring area) to achieve all-round monitoring of the target area. Each dual-channel monitoring device includes two heterogeneous sensing channels, namely, an optical monitoring channel and an acoustic monitoring channel; the information transmission network uses a wireless network to transmit the monitoring data collected by the distributed dual-channel monitoring device to the monitoring and early warning center; the monitoring and early warning center centrally receives and analyzes the heterogeneous monitoring data from the distributed dual-channel monitoring network, predicts the bioaerosol concentration, and visualizes the monitoring and prediction information to generate an early warning.

[0015] Online monitoring and early warning methods include: Performing bioaerosol dynamic monitoring on a first position in a target scene by using a first dual-channel monitoring device in the distributed dual-channel monitoring device to obtain first real-time monitoring data; Further, such as Figure 2 As shown, this step includes: The first dual-channel monitoring device is arranged at the first position, and the first dual-channel monitoring device includes a first optical monitoring channel; The first optical monitoring channel includes an optical transmitter, a flat glass optical waveguide, and an optical receiver; receiving a first detection light signal from the light emitter by the flat glass optical waveguide; The flat glass optical waveguide performs surface scattering on the first detection light signal, and the optical receiver receives the first scattered light signal scattered by the surface; Obtaining first light comparison data, where the first light comparison data is data obtained by comparing and analyzing the first detection light signal and the first scattered light signal; The first light contrast data is added to the first real-time monitoring data.

[0016] Furthermore, this step also includes: The first dual-channel monitoring device also includes a first acoustic monitoring channel, The first acoustic monitoring channel includes an ultrasonic transmitter and an ultrasonic receiver; The ultrasonic transmitter sends a first ultrasonic transmission signal to the ultrasonic receiver to obtain a first ultrasonic reception signal from the ultrasonic receiver; Obtaining first acoustic comparison data, where the first acoustic comparison data is data obtained by comparing and analyzing the first ultrasonic transmission signal and the first ultrasonic reception signal; The first acoustic comparison data is added to the first real-time monitoring data.

[0017] Furthermore, this step also includes: Before the flat glass optical waveguide receives the first detection light signal from the light transmitter, the flat glass optical waveguide is subjected to surface sensitization treatment by a preset gradient film to obtain a sensitized flat glass optical waveguide.

[0018] In an embodiment of the present application, a distributed dual-channel monitoring device includes a plurality of dual-channel monitoring devices, each of which includes a light monitoring channel and a sound monitoring channel. The first dual-channel monitoring device is any dual-channel monitoring device in the distributed dual-channel monitoring device, and the first dual-channel monitoring device includes a first light monitoring channel and a first sound monitoring channel. The first position is the position where the first dual-channel monitoring device is deployed in the target scene. The area at the first position is dynamically monitored for bioaerosols through the two heterogeneous sensing channels of the first dual-channel monitoring device, and first real-time monitoring data containing two types of sensing information is collected in real time.

[0019] Specifically, the first optical monitoring channel in the first dual-channel monitoring device includes an optical transmitter, a flat glass optical waveguide, and an optical receiver. The optical transmitter generates and transmits a first optical signal for detection through laser radar technology, and the first optical signal provides a light source for optical monitoring; the flat glass optical waveguide is used to transmit the first optical signal, and in an environment containing bioaerosol particles, the first optical signal will scatter with the bioaerosol particles during transmission to generate a first scattered light signal; the optical receiver receives the first scattered light signal passing through the bioaerosol area. When the first optical monitoring channel is working, the optical transmitter generates and transmits a first detection light signal, and the first detection light signal is directed to the flat glass optical waveguide, and the flat glass optical waveguide receives the first detection light signal from the optical transmitter. After the first detection light signal enters the flat glass optical waveguide, the bioaerosol particles condense on the surface of the flat glass optical waveguide, and when the first detection light signal passes through, it scatters with these particles to form a first scattered light signal. After obtaining the first detection light signal and the first scattered light signal, the first detection light signal is used as a reference light signal to be compared with the first scattered light signal generated after passing through the bioaerosol area. By analyzing the parameter difference between the two light signals, the scattering and attenuation effect of the bioaerosol on the first detection light signal is quantitatively evaluated. The first light comparison data reflects the difference between the first detection light signal and the first scattered light signal. This difference comes from the scattering and absorption effect of the bioaerosol particles on the first detection light signal, and the concentration of the bioaerosol can be determined based on this. After obtaining the first light comparison data, the first light comparison data is added to the first real-time monitoring data as the real-time optical monitoring data of the first position of the target scene by the first dual-channel monitoring device, reflecting the parameters of the bioaerosol in terms of optical response.

[0020] The first acoustic monitoring channel in the first dual-channel monitoring device includes an ultrasonic transmitter and an ultrasonic receiver. The ultrasonic transmitter is used to generate and transmit ultrasonic signals as the detection source signal of acoustic monitoring; the ultrasonic receiver is used to receive the echo signal generated after passing through the bioaerosol-containing area. When monitoring in the first acoustic monitoring channel, the ultrasonic transmitter first sends out a first ultrasonic transmission signal, which propagates in the direction of the ultrasonic receiver. The first ultrasonic transmission signal propagates through the air medium. When passing through the space area containing bioaerosol particles, it will cause signal reflection and scattering, and finally reach the ultrasonic receiver in a changed form. The ultrasonic receiver receives the transmitted signal and obtains the first ultrasonic reception signal. After obtaining the first ultrasonic transmission signal and the first ultrasonic reception signal, the first ultrasonic transmission signal is used as a reference signal and compared with the first ultrasonic reception signal after passing through the bioaerosol area. By analyzing the parameter changes of the two acoustic wave signals, the scattering and attenuation effects of the bioaerosol on the first ultrasonic transmission signal are quantitatively evaluated. The first acoustic comparison data reflects the difference between the two signals. This difference comes from the scattering and absorption of the bioaerosol particles on the first ultrasonic transmission signal, and the concentration parameters of the bioaerosol can be determined based on this. Subsequently, the first acoustic comparison data is added to the first real-time monitoring data as real-time acoustic monitoring data of the first dual-channel monitoring device on the first position of the target scene, reflecting the parameters of the bioaerosol in terms of acoustic response.

[0021] By adding the first light comparison data and the first sound comparison data to the first real-time monitoring data, the first real-time monitoring data forms a data set integrating the acoustic monitoring results and the optical monitoring results, providing more comprehensive and accurate input source data for subsequent analysis and processing.

[0022] In a preferred embodiment, before performing optical monitoring of bioaerosols through the first optical monitoring channel, the surface of the flat glass optical waveguide is first processed to obtain a sensitized flat glass optical waveguide to improve its detection sensitivity to bioaerosols. Specifically, by pre-setting a gradient film to cover the surface of the flat glass optical waveguide, the surface properties of the flat glass optical waveguide are changed by using the continuous gradient change characteristics of the gradient film. After the flat glass optical waveguide is sensitized by the gradient film, the surface scattering effect of the bioaerosol particles is enhanced, thereby generating a more significant scattered light signal, while reducing the negative impact of the accumulation of bioaerosol particles on the surface. By obtaining a sensitized flat glass optical waveguide with enhanced sensitivity to bioaerosol detection, the accuracy and sensitivity of subsequent bioaerosol concentration detection and monitoring are improved.

[0023] Analyzing the first real-time monitoring data through a first computing center in the first dual-channel monitoring device to obtain a first bioaerosol concentration, wherein the first bioaerosol concentration has an identifier of the first position information of the first position; Furthermore, this step includes: Analyzing the first light contrast data by the first computing center to obtain a first light scattering intensity; Calling a preset light detection bioaerosol function, and obtaining a first light detection bioaerosol concentration in combination with the first light scattering intensity; Analyzing the first acoustic comparison data through the first computing center and predicting the first acoustic sensing bioaerosol concentration; According to a preset weight allocation rule, a first weight coefficient of the first light detection bioaerosol concentration and a second weight coefficient of the first acoustic sensing bioaerosol concentration are respectively obtained; The first bioaerosol concentration is obtained by combining the first weight coefficient and the second weight coefficient and weighting the first light-detected bioaerosol concentration and the first acoustic-sensed bioaerosol concentration.

[0024] Furthermore, this step also includes: The expression of the preset light detection bioaerosol function is as follows: ; in, characterizing the first light scattering intensity, Characterizes the distributed dual-channel monitoring device arranged in the first Position A dual-channel monitoring device, Characterizing the number of aerosol settling particles on the optical waveguide surface of the sensitized flat glass optical waveguide, Characterizes the feedback adjustment coefficient of aerosol settling particles, Characterizing the The aerosol concentration at the location, i.e. Optical detection of bioaerosol concentrations, Characterize the aerosol concentration feedback adjustment coefficient.

[0025] In a preferred embodiment, a corresponding first computing center is provided in the first dual-channel monitoring device to process the first real-time monitoring data obtained by the first dual-channel monitoring device, and to analyze the optical monitoring results of the first optical comparison data and the acoustic monitoring results of the first acoustic comparison data contained in the first real-time monitoring data. The first computing center is provided in the first dual-channel monitoring device to ensure that the data from the monitoring device can enter the first computing center in a timely and efficient manner for real-time processing.

[0026] After the first dual-channel monitoring device obtains the first real-time monitoring data, firstly, the first computing center extracts characteristic parameters representing the light scattering intensity from the first light contrast data based on signal processing techniques such as wavelet transform and spectrum analysis, and normalizes the extracted characteristic parameters to obtain a quantized value of the light scattering intensity in the range of 0-1 as the first light scattering intensity. Secondly, the preset light detection bioaerosol function model is called, and the first light scattering intensity is brought into the function model for calculation to obtain the first light detection bioaerosol concentration. Among them, the expression of the preset light detection bioaerosol function is: ;in, Characterizes the first light scattering intensity, reflecting the degree of scattering effect of the bioaerosol on the light signal at the first position, Characterization of the distributed dual-channel monitoring device deployed in the Position A dual-channel monitoring device, Characterize the number of aerosol particles deposited on the waveguide surface of the sensitized flat glass waveguide, Characterizes the feedback adjustment coefficient of aerosol settling particles, which can be corrected according to factors such as the degree of contamination and humidity on the surface of the sensitized flat glass optical waveguide. Characterization The aerosol concentration at the location, i.e. Optical detection of bioaerosol concentrations, The feedback adjustment coefficient representing the aerosol concentration is corrected according to the ambient aerosol background concentration, etc. By substituting the first light scattering intensity into the function expression, the corresponding first optical monitoring aerosol concentration value is calculated.

[0027] Then, a neural network algorithm was used to construct a nonlinear mapping model between acoustic features and bioaerosol concentrations, which was used to perform intelligent calculations from the first acoustic contrast data to concentration predictions. The structure and parameters of the mapping model were obtained through training, learning and optimization of historical monitoring data. The first computing center input the first acoustic contrast data into the mapping model, and through layer-by-layer calculations of the model, the feature extraction of the data and the learning of complex mapping relationships were achieved, and the first acoustic sensing bioaerosol concentration reflecting the acoustic monitoring results was output. Then, in order to reasonably integrate the first light detection bioaerosol concentration and the first acoustic detection bioaerosol concentration, different weights were assigned to the two results in different situations according to the preset weight allocation rules, and the first weight coefficient corresponding to the first light detection bioaerosol concentration and the second weight coefficient corresponding to the first acoustic sensing bioaerosol concentration were obtained. Among them, the preset weight distribution rule is that due to the bright ambient light but more noise during the day, the optical monitoring results are more reliable while the acoustic monitoring results are easily disturbed. Therefore, for the monitoring data during the day, the weight coefficient of the first light detection bioaerosol concentration is set larger, and the weight coefficient of the first sound sensing bioaerosol concentration is set smaller; while the ambient light is weaker at night and the sound wave propagation conditions are better, the acoustic monitoring results are more reliable while the optical monitoring results are easily limited. Therefore, for the monitoring data at night, the weight coefficient of the first sound sensing bioaerosol concentration is set larger, and the weight coefficient of the first light detection bioaerosol concentration is set smaller. After obtaining the first light detection bioaerosol concentration and the first sound sensing bioaerosol concentration representing the results of the two monitoring methods, as well as the corresponding weight coefficients of the two, the two will be weighted and fused to obtain the final first bioaerosol concentration, reflecting the actual bioaerosol concentration at the first position.

[0028] Transmitting the first real-time monitoring data and the first bioaerosol concentration to the monitoring and early warning center through the information transmission network; In order to realize the data collection and transmission of distributed dual-channel monitoring devices, an information transmission network is set up to connect each dual-channel monitoring device with the monitoring and early warning center. The information transmission network adopts the networking technology of wireless network. By planning and laying out each dual-channel monitoring device and setting up wireless communication modules such as WIFI modules and Bluetooth modules, a wireless transmission network is constructed to realize wireless data transmission between each dual-channel monitoring device and the monitoring and early warning center.

[0029] The first real-time monitoring data output by the first dual-channel monitoring device and the first bioaerosol concentration analyzed by the first computing center are transmitted to the monitoring and early warning center through the established wireless network to realize centralized processing and analysis of the data.

[0030] Analyzing the first real-time monitoring data by the monitoring calculation unit of the monitoring and early warning center to obtain a first bioaerosol predicted concentration; In an embodiment of the present application, first, a large amount of historical monitoring data is prepared as a training set, which includes optical and acoustic monitoring results of multiple time periods and multiple locations, and other environmental parameter data sets related to aerosol concentration are collected as additional inputs; the model framework is designed according to the deep network structure, such as designing the number of nodes in the input layer and the hidden layer, selecting the connection function, etc.; the network model parameters are repeatedly iterated using the training set data, and the network weights are gradually trained and optimized, so that the model fits the training data better, and finally the mapping learning from monitoring data to concentration prediction can be completed; the training process uses gradient descent, back propagation and other algorithms to update the network weights, and the monitoring calculation unit is obtained after verification. After the monitoring and early warning center receives the first real-time monitoring data and the first bioaerosol concentration, the monitoring and calculation unit preprocesses the first real-time monitoring data, including denoising and normalization, to obtain standardized first real-time monitoring data, and inputs the standardized first real-time monitoring data into the monitoring and calculation unit. After layer-by-layer calculations by the multi-layer neural network of the unit, high-dimensional abstraction and modeling of data features are realized. The model integrates various dimensional features, including time series data, correlations between different positions, and mapping relationships with other influencing factors. Finally, the output layer obtains a prediction sequence reflecting the changing trend of the bioaerosol concentration at the first position in a certain period of time in the future, that is, the predicted concentration of the first bioaerosol.

[0031] The predicted concentration of the first bioaerosol and the concentration of the first bioaerosol are dynamically displayed by the warning display unit of the monitoring and warning center, and a first risk warning is generated according to the dynamic display information.

[0032] Furthermore, the embodiment of the present application also includes: The early warning display unit visually displays the first bioaerosol concentration, and generates a visual bioaerosol concentration distribution map in combination with the identifier of the first location information; The first bioaerosol predicted concentration is rendered in a preset form to the visualized bioaerosol concentration distribution map.

[0033] In a preferred embodiment, the early warning display unit is a display module in the monitoring and early warning center, which receives the first bioaerosol predicted concentration output by the monitoring and calculation unit, and the first real-time concentration data output by the edge computing unit, i.e., the first dual-channel monitoring device. The early warning display unit integrates visualization software, which can process these concentration data into images to achieve dynamic visualization of the bioaerosol concentration distribution; at the same time, the early warning display unit combines the early warning threshold value pre-set according to the monitoring requirements, identifies the monitoring or prediction situation that exceeds the standard, and generates the first risk warning.

[0034] First, the early warning display unit receives the first bioaerosol concentration, calls the map coordinate information of the target scene, and determines the spatial coordinates of the first position. Secondly, a visual bioaerosol concentration distribution map is drawn on the map using the color depth mapping method based on the first bioaerosol concentration and the spatial coordinates of the first position. The visual bioaerosol concentration distribution map integrates the bioaerosol concentrations of multiple monitoring locations and clearly displays the bioaerosol concentration distribution of the entire target scene. After drawing the bioaerosol concentration visualization distribution map, the early warning display unit renders the first bioaerosol predicted concentration predicted by the monitoring calculation unit in a specific form. For example, the predicted concentration value is displayed at the corresponding monitoring location using a significant digital mark or a dot mark of a specific color. When the user views the visualization distribution map, the current concentration monitored can be intuitively compared with the predicted future concentration change trend, which helps to judge regional risks.

[0035] During the dynamic display process, after receiving the first real-time monitoring data and the first bioaerosol concentration, the monitoring and early warning center immediately displays the first bioaerosol concentration result through the early warning display unit to achieve real-time monitoring of the first position and reduce display delay; at the same time, the first bioaerosol concentration is deeply analyzed through the monitoring calculation unit to generate the first bioaerosol predicted concentration, which is compared and verified with the first bioaerosol concentration. By displaying the first bioaerosol concentration and the first bioaerosol predicted concentration in a dynamic visualization form, that is, the edge computing concentration is updated and displayed in real time, and the predicted concentration is rendered and integrated in a specific form, the mutual verification of the results is achieved, which not only ensures the real-time monitoring responsiveness, but also ensures the accuracy and reliability of the prediction, and obtains fine and dynamic aerosol concentration distribution information to provide support for the generation of the first risk warning.

[0036] At the same time, multiple risk levels of bioaerosol concentration are preset in the warning display unit, such as blue, yellow, orange, red, etc., corresponding to different numerical thresholds. When the first bioaerosol concentration calculated by the edge is displayed in real time or the first bioaerosol predicted concentration predicted by the monitoring calculation unit exceeds different thresholds, the corresponding risk warning is triggered. After receiving warnings of different levels, the warning display unit generates a first risk warning, which is visualized and sounded with different colors and volumes to clearly display the risk level; at the same time, the first risk warning is pushed to the mobile terminal of the monitoring personnel for extended reminders.

[0037] In summary, the online monitoring and early warning method for bioaerosols provided in the embodiments of the present application has the following technical effects: The first dual-channel monitoring device in the distributed dual-channel monitoring device dynamically monitors the first position in the target scene to obtain the first real-time monitoring data, realize multi-point and multi-dimensional data collection, and improve the comprehensiveness of monitoring. The first real-time monitoring data is analyzed by the first computing center in the first dual-channel monitoring device to obtain the first bioaerosol concentration. The first bioaerosol concentration has the identification of the first position information of the first position, realizes the local data processing at the edge, and shortens the response time. The first real-time monitoring data and the first bioaerosol concentration are transmitted to the monitoring and early warning center through the information transmission network to realize remote data centralized management. The first real-time monitoring data is analyzed by the monitoring and calculation unit of the monitoring and early warning center to obtain the first bioaerosol predicted concentration, and realize comprehensive intelligent prediction and analysis at the center. The predicted concentration of the first bioaerosol and the first bioaerosol concentration are dynamically displayed by the early warning display unit of the monitoring and early warning center, and the first risk early warning is generated according to the dynamic display information, so as to realize the verification of multi-source data, improve the accuracy of the early warning, and finally realize the risk judgment and early warning output of the bioaerosol. Example 2

[0038] Based on the same inventive concept as the online monitoring and early warning method of bioaerosol in the aforementioned embodiment, Figure 3 As shown, the embodiment of the present application provides an online monitoring and early warning system for bioaerosols, which is connected to a distributed dual-channel monitoring device, an information transmission network, and a monitoring and early warning center, and includes: The aerosol dynamic monitoring module 11 is used to perform bioaerosol dynamic monitoring on a first position in a target scene through a first dual-channel monitoring device in the distributed dual-channel monitoring device to obtain first real-time monitoring data; A monitoring data analysis unit 12, configured to analyze the first real-time monitoring data through a first computing center in the first dual-channel monitoring device to obtain a first bioaerosol concentration, wherein the first bioaerosol concentration has an identifier of the first position information of the first position; An information transmission module 13, used for transmitting the first real-time monitoring data and the first bioaerosol concentration to the monitoring and early warning center through the information transmission network; An aerosol prediction concentration module 14, configured to obtain a first bioaerosol prediction concentration by analyzing the first real-time monitoring data through a monitoring calculation unit of the monitoring and early warning center; The risk warning generation module 15 is used to dynamically display the first bioaerosol predicted concentration and the first bioaerosol concentration through the warning display unit of the monitoring and warning center, and generate a first risk warning according to the dynamic display information.

[0039] Furthermore, the aerosol dynamic monitoring module 11 includes the following execution steps: The first dual-channel monitoring device is arranged at the first position, and the first dual-channel monitoring device includes a first optical monitoring channel; The first optical monitoring channel includes an optical transmitter, a flat glass optical waveguide, and an optical receiver; receiving a first detection light signal from the light emitter by the flat glass optical waveguide; The flat glass optical waveguide performs surface scattering on the first detection light signal, and the optical receiver receives the first scattered light signal scattered by the surface; Obtaining first light comparison data, where the first light comparison data is data obtained by comparing and analyzing the first detection light signal and the first scattered light signal; The first light contrast data is added to the first real-time monitoring data.

[0040] Furthermore, the aerosol dynamic monitoring module 11 also includes the following execution steps: Before the flat glass optical waveguide receives the first detection light signal from the light transmitter, the flat glass optical waveguide is subjected to surface sensitization treatment by a preset gradient film to obtain a sensitized flat glass optical waveguide.

[0041] Furthermore, the aerosol dynamic monitoring module 11 also includes the following execution steps: The first dual-channel monitoring device further includes a first acoustic monitoring channel, and after adding the first optical comparison data to the first real-time monitoring data, includes: The first acoustic monitoring channel includes an ultrasonic transmitter and an ultrasonic receiver; The ultrasonic transmitter sends a first ultrasonic transmission signal to the ultrasonic receiver to obtain a first ultrasonic reception signal from the ultrasonic receiver; Obtaining first acoustic comparison data, where the first acoustic comparison data is data obtained by comparing and analyzing the first ultrasonic transmission signal and the first ultrasonic reception signal; The first acoustic comparison data is added to the first real-time monitoring data.

[0042] Further, the monitoring data analysis unit 12 includes the following execution steps: Analyzing the first light contrast data by the first computing center to obtain a first light scattering intensity; Calling a preset light detection bioaerosol function, and obtaining a first light detection bioaerosol concentration in combination with the first light scattering intensity; Analyzing the first acoustic comparison data through the first computing center and predicting the first acoustic sensing bioaerosol concentration; According to a preset weight allocation rule, a first weight coefficient of the first light detection bioaerosol concentration and a second weight coefficient of the first acoustic sensing bioaerosol concentration are respectively obtained; The first bioaerosol concentration is obtained by combining the first weight coefficient and the second weight coefficient and weighting the first light-detected bioaerosol concentration and the first acoustic-sensed bioaerosol concentration.

[0043] Furthermore, the monitoring data analysis unit 12 further includes the following execution steps: The expression of the preset light detection bioaerosol function is as follows: ; in, characterizing the first light scattering intensity, Characterizes the distributed dual-channel monitoring device arranged in the first Position A dual-channel monitoring device, Characterizing the number of aerosol settling particles on the optical waveguide surface of the sensitized flat glass optical waveguide, Characterizes the feedback adjustment coefficient of aerosol settling particles, Characterizing the The aerosol concentration at the location, i.e. Optical detection of bioaerosol concentrations, Characterize the aerosol concentration feedback adjustment coefficient.

[0044] Furthermore, the risk warning generation module 15 includes the following execution steps: The early warning display unit visually displays the first bioaerosol concentration, and generates a visual bioaerosol concentration distribution map in combination with the identifier of the first location information; The first bioaerosol predicted concentration is rendered in a preset form to the visualized bioaerosol concentration distribution map.

[0045] Any step of the method described above can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor to implement any method in the embodiments of the present application, without any unnecessary restrictions.

[0046] Furthermore, the first or second mentioned above may not only represent an order relationship, but may also represent a specific concept, and / or refer to multiple elements that can be selected individually or in full. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. An online monitoring and early warning method for bioaerosols, characterized in that: The method is applied to an online monitoring and early warning system for bioaerosols, wherein the system is connected to a distributed dual-channel monitoring device, an information transmission network, and a monitoring and early warning center for communication, and the method comprises: Performing bioaerosol dynamic monitoring on a first position in a target scene by using a first dual-channel monitoring device in the distributed dual-channel monitoring device to obtain first real-time monitoring data; Analyzing the first real-time monitoring data through a first computing center in the first dual-channel monitoring device to obtain a first bioaerosol concentration, wherein the first bioaerosol concentration has an identifier of the first position information of the first position; Transmitting the first real-time monitoring data and the first bioaerosol concentration to the monitoring and early warning center through the information transmission network; Analyzing the first real-time monitoring data by the monitoring calculation unit of the monitoring and early warning center to obtain a first bioaerosol predicted concentration; The predicted concentration of the first bioaerosol and the concentration of the first bioaerosol are dynamically displayed by the warning display unit of the monitoring and warning center, and a first risk warning is generated according to the dynamic display information.

2. The method according to claim 1, characterized in that: The first dual-channel monitoring device is arranged at the first position, and the first dual-channel monitoring device includes a first optical monitoring channel, and obtaining the first real-time monitoring data includes: The first optical monitoring channel includes an optical transmitter, a flat glass optical waveguide, and an optical receiver; receiving a first detection light signal from the light emitter by the flat glass optical waveguide; The flat glass optical waveguide performs surface scattering on the first detection light signal, and the optical receiver receives the first scattered light signal scattered by the surface; Obtaining first light comparison data, where the first light comparison data is data obtained by comparing and analyzing the first detection light signal and the first scattered light signal; The first light contrast data is added to the first real-time monitoring data.

3. The method according to claim 2, characterized in that: Before the flat glass optical waveguide receives the first detection light signal from the light transmitter, the flat glass optical waveguide is subjected to surface sensitization treatment by a preset gradient film to obtain a sensitized flat glass optical waveguide.

4. The method according to claim 3, characterized in that: The first dual-channel monitoring device further includes a first acoustic monitoring channel, and after adding the first optical comparison data to the first real-time monitoring data, includes: The first acoustic monitoring channel includes an ultrasonic transmitter and an ultrasonic receiver; The ultrasonic transmitter sends a first ultrasonic transmission signal to the ultrasonic receiver to obtain a first ultrasonic reception signal from the ultrasonic receiver; Obtaining first acoustic comparison data, where the first acoustic comparison data is data obtained by comparing and analyzing the first ultrasonic transmission signal and the first ultrasonic reception signal; The first acoustic comparison data is added to the first real-time monitoring data.

5. The method according to claim 4, characterized in that: The first real-time monitoring data is analyzed by the first computing center in the first dual-channel monitoring device to obtain a first bioaerosol concentration, including: Analyzing the first light contrast data by the first computing center to obtain a first light scattering intensity; Calling a preset light detection bioaerosol function, and obtaining a first light detection bioaerosol concentration in combination with the first light scattering intensity; Analyzing the first acoustic comparison data through the first computing center and predicting the first acoustic sensing bioaerosol concentration; According to a preset weight allocation rule, a first weight coefficient of the first light detection bioaerosol concentration and a second weight coefficient of the first acoustic sensing bioaerosol concentration are respectively obtained; The first bioaerosol concentration is obtained by combining the first weight coefficient and the second weight coefficient and weighting the first light-detected bioaerosol concentration and the first acoustic-sensed bioaerosol concentration.

6. The method according to claim 5, characterized in that: The expression of the preset light detection bioaerosol function is as follows: ； in, characterizing the first light scattering intensity, Characterizes the distributed dual-channel monitoring device arranged in the first Position A dual-channel monitoring device, Characterizing the number of aerosol settling particles on the optical waveguide surface of the sensitized flat glass optical waveguide, Characterizes the feedback adjustment coefficient of aerosol settling particles, Characterizing the The aerosol concentration at the location, i.e. Optical detection of bioaerosol concentrations, Characterize the aerosol concentration feedback adjustment coefficient.

7. The method according to claim 1, characterized in that: The method comprises: The early warning display unit visually displays the first bioaerosol concentration, and generates a visual bioaerosol concentration distribution map in combination with the identifier of the first location information; The first bioaerosol predicted concentration is rendered in a preset form to the visualized bioaerosol concentration distribution map.

8. The online monitoring and early warning system of bioaerosols is characterized by: The method for online monitoring and early warning of bioaerosols according to any one of claims 1 to 7 is used for implementing the method, wherein the system is connected to a distributed dual-channel monitoring device, an information transmission network, and a monitoring and early warning center for communication, and the system comprises: An aerosol dynamic monitoring module, the aerosol dynamic monitoring module is used to perform bioaerosol dynamic monitoring on a first position in a target scene through a first dual-channel monitoring device in the distributed dual-channel monitoring device to obtain first real-time monitoring data; A monitoring data analysis unit, the monitoring data analysis unit is used to analyze the first real-time monitoring data through a first computing center in the first dual-channel monitoring device to obtain a first bioaerosol concentration, wherein the first bioaerosol concentration has an identifier of the first position information of the first position; An information transmission module, the information transmission module is used to transmit the first real-time monitoring data and the first bioaerosol concentration to the monitoring and early warning center through the information transmission network; An aerosol prediction concentration module, the aerosol prediction concentration module is used to analyze the first real-time monitoring data through the monitoring calculation unit of the monitoring and early warning center to obtain a first bioaerosol prediction concentration; A risk warning generation module, wherein the risk warning generation module is used to dynamically display the first bioaerosol predicted concentration and the first bioaerosol concentration through the warning display unit of the monitoring and warning center, and generate a first risk warning according to the dynamic display information.

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