Microorganism dynamic simulation device and method

Abstract

The invention provides a microorganism dynamic simulation device and method. The invention relates to a microorganism dynamic simulation method, which comprises the following steps that: a central control unit loads a dynamic simulation protocol containing a human source event sequence and a feedback control rule set; concurrently executing the following operations according to the dynamic simulation protocol: driving a human source simulation unit to execute dynamic release according to a human source event sequence, driving an air exchange simulation unit to execute a preset air exchange strategy, and continuously collecting and recording real-time monitoring data of the biological aerosol in the test bin main body through a multi-parameter monitoring unit; performing event-response correlation analysis on a human source event sequence and the real-time monitoring data of the biological aerosol; and comparing a result of the event-response correlation analysis with a feedback control rule set in real time, and dynamically adjusting subsequent operation parameters of the air exchange simulation unit or the artificial source simulation unit. According to the invention, the influence of air exchange and human source dynamic change on indoor biological aerosol is effectively simulated.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of environmental simulation testing, in particular to a microorganism dynamic simulation device and method. BACKGROUND

[0002] Pathogenic microorganisms transmitted through respiratory droplets and aerosols are the main route of large-scale respiratory infectious diseases. In order to scientifically evaluate and verify the effectiveness of ventilation strategies, air purification technology, disinfection measures and individual protective equipment in real scenarios, a test platform is needed that can simulate the dynamic behavior of biological aerosols in indoor environments with high fidelity.

[0003] Traditional biological aerosol tests are usually carried out in static or constant conditions in a test chamber. Researchers release aerosols in one go, and then take samples for analysis at different time points. This testing method cannot simulate the intermittency and suddenness of pollution sources in the real world (such as coughing and speaking), nor can it simulate the dynamic changes in environmental parameters (such as airflow changes caused by people walking, and the start and stop of the ventilation system). Therefore, its test results have poor relevance to complex and variable real-world scenarios, making it difficult to provide effective guidance.

[0004] In addition, existing test devices usually do not have the ability to provide real-time feedback and adjustment according to changes in the chamber environment. For example, when the concentration of microorganisms is found to have risen sharply due to a strong release event, the system cannot respond by increasing the ventilation rate. This lack of a closed-loop feedback loop design makes the simulation process more like a linear execution of a pre-set program, rather than a dynamic system interacting with internal states. SUMMARY

[0005] Based on the above background, the purpose of the present application is to provide a microorganism dynamic simulation device and method that effectively simulates the influence of air exchange and dynamic changes in human sources on indoor biological aerosols, and solves the technical problem that the static open-loop simulation process in the prior art cannot truly reflect the correlation between events and responses.

[0006] In order to achieve the above-mentioned purpose of the application, the present application provides the following technical solutions:

[0007] A microorganism dynamic simulation device, comprising:

[0008] a test chamber body with a preset volume and air tightness;

[0009] an air exchange simulation unit, comprising an air inlet and outlet module and an air flow circulation module; the air inlet and outlet module is in fluid communication with the test chamber body, for controlling the gas flow into and out of the test chamber body; the air flow circulation module is arranged inside the test chamber body, for regulating the air flow mixing state in the test chamber body;

[0010] a human-source simulation unit, a release end of which is arranged inside the test chamber body, for dynamically releasing bioaerosols or their simulation according to instructions;

[0011] a multi-parameter monitoring unit, a sampling end of which is arranged inside the test chamber body, for collecting bioaerosol parameter data inside the test chamber body in real time;

[0012] a central control unit, which is electrically connected with the air exchange simulation unit, the human-source simulation unit and the multi-parameter monitoring unit respectively, and is configured to:

[0013] loading a dynamic simulation protocol containing a human-source event sequence and a feedback control rule set;

[0014] driving the human-source simulation unit and the air exchange simulation unit to operate according to the dynamic simulation protocol;

[0015] receiving real-time monitoring data collected by the multi-parameter monitoring unit;

[0016] dynamically adjusting subsequent operation parameters of the human-source simulation unit or the air exchange simulation unit according to a comparison result of the real-time monitoring data and the feedback control rule set.

[0017] Preferably, the human-source simulation unit comprises a pneumatic atomization type bioaerosol generator for simulating breathing or coughing and / or a vibration type dry powder dispenser for simulating skin flake or hair shedding; and the multi-parameter monitoring unit comprises an aerosol time-of-flight mass spectrometer for acquiring bioaerosol species, concentration and particle size distribution data in real time and / or a quartz crystal microbalance immunosensor for monitoring specific microbial activity.

[0018] A microbial dynamic simulation method using the microbial dynamic simulation device according to any one of the above, comprising the following steps:

[0019] loading, by the central control unit, a dynamic simulation protocol containing a human-source event sequence and a feedback control rule set;

[0020] concurrently performing the following operations according to the dynamic simulation protocol: driving the human-source simulation unit to perform dynamic release according to the human-source event sequence, driving the air exchange simulation unit to perform a preset air exchange strategy, and continuously collecting and recording bioaerosol real-time monitoring data inside the test chamber body by the multi-parameter monitoring unit;

[0021] performing event-response correlation analysis on the human-source event sequence and the bioaerosol real-time monitoring data;

[0022] The results of the event-response correlation analysis are compared in real time with the feedback control rule set, and when a preset condition in the feedback control rule set is met, the subsequent operation parameters of the air exchange simulation unit or the artificial source simulation unit are dynamically adjusted by the central control unit.

[0023] As preferred, before the following operations are performed concurrently according to the dynamic simulation protocol, the microbial dynamic simulation method further comprises a system dynamic characteristic calibration step for obtaining a system impulse response function characterizing the inherent response characteristics of the microbial dynamic simulation device.

[0024] The impulse response function obtained by the system dynamic characteristic calibration step quantifies the inherent signal delay and dispersion effect of the system, laying a foundation for subsequent elimination of measurement distortion and realization of accurate attribution.

[0025] As preferred, the system dynamic characteristic calibration step specifically comprises:

[0026] The artificial source simulation unit is controlled to generate a transient pulse type tracer particle aerosol under a preset air flow circulation mode;

[0027] The concentration-time curve of the tracer particle aerosol is recorded by the multi-parameter monitoring unit;

[0028] The concentration-time curve is normalized to obtain the system impulse response function.

[0029] As preferred, the event-response correlation analysis is realized by a signal deconvolution step on the bioaerosol real-time monitoring data, and the signal deconvolution step specifically comprises:

[0030] The system impulse response function obtained in the system dynamic characteristic calibration step is called to perform deconvolution calculation on the bioaerosol real-time monitoring data to obtain a resolved source contribution signal that eliminates the system delay and dispersion effect, and the source contribution signal can attribute the mixed monitoring data to each independent release event in the artificial source event sequence.

[0031] The distorted signal measured by the sensor can be approximately regarded as the convolution of the true source signal and the system impulse response function. By implementing the deconvolution operation, the cause is inverted from the result and the system characteristics, i.e., the resolved source contribution signal that eliminates the system delay and dispersion effect is obtained, which can solve the technical problem that the monitoring data and the release source correlation are ambiguous and cannot be attributed.

[0032] As preferred, the result of the event-response correlation analysis is compared with the feedback control rule set in real time, and when the preset condition in the feedback control rule set is met, the subsequent operation parameters of the air exchange simulation unit or the artificial source simulation unit are dynamically adjusted by the central control unit, specifically including:

[0033] From the resolved source contribution signal, a characteristic parameter corresponding to a specific release event in the artificial source event sequence is identified and extracted;

[0034] The characteristic parameter is compared with the condition threshold value preset in the feedback control rule set;

[0035] When the characteristic parameter meets the condition threshold value, an adjustment instruction for the air exchange simulation unit or the artificial source simulation unit is generated, and the subsequent execution parameter of the dynamic simulation protocol is updated.

[0036] This step applies the high-quality analysis result obtained by deconvolution to the decision-making link of closed-loop feedback, so that the feedback control is based on the resolved and clearly attributed source contribution signal.

[0037] As preferred, the characteristic parameter includes the peak intensity of the source contribution signal corresponding to the specific release event and / or the integral area of the source contribution signal corresponding to the specific release event.

[0038] As preferred, the feedback control rule set at least includes the following rules:

[0039] If the integral area attributed to the simulated coughing event exceeds the first dose threshold, the air exchange rate of the air exchange simulation unit is increased;

[0040] If the peak intensity attributed to the simulated dander shedding event exceeds the second concentration threshold for three consecutive times, the operation power of the air flow circulation module is dynamically increased to strengthen the mixing and sedimentation effect.

[0041] Compared with the prior art, the present application has the following advantages:

[0042] A microbial dynamic simulation device integrates dynamic source release, environmental regulation, real-time monitoring and central feedback control into one, and builds a closed-loop system that can respond autonomously according to internal state, so that the simulation process is no longer a linear program execution, but can reproduce the dynamic interactive process of event occurrence, environmental change and system response in real-world scenarios. The simulation result has stronger relevance to the real world. The microbial dynamic simulation device can accurately simulate the complex and changeable air exchange in indoor environment and the dynamic release process of artificial sources, providing real and reliable experimental conditions for studying the influence of air exchange and artificial sources on indoor biological aerosols and microorganisms, and improving the accuracy and reliability of research results.

[0043] The microbial dynamic simulation method of the present application defines a complete cycle of simulation, monitoring, analysis, decision-making and adjustment, so that the entire simulation process is dynamically evolving, and can respond to changes in internal state in real time, thereby reproducing complex nonlinear dynamic processes in the real world. Moreover, the microbial dynamic simulation method of the present application inverses the source contribution signal attributable to a specific event from distorted monitoring data through a deconvolution algorithm, and then makes feedback decisions based on the characteristic parameters of the signal, thereby solving the attribution difficulty caused by signal distortion, making the basis for feedback control physical reality rather than apparent phenomena, and thus being able to implement accurate dynamic regulation and control for the real contribution of different pollution sources. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of the provided drawings.

[0045] Figure 1 is a schematic diagram of a microbial dynamic simulation device of the present application;

[0046] Figure 2 is a flowchart of a microbial dynamic simulation method of the present application;

[0047] Figure 3 is a flowchart of feedback control based on the resolved source contribution signal in the present application. DETAILED DESCRIPTION

[0048] The technical solutions of the present application will be further specifically described below by means of specific embodiments and in conjunction with the drawings. It should be understood that the implementation of the present application is not limited to the following embodiments, and any form of modification and / or change of the present application will fall within the scope of protection of the present application.

[0049] In the present application, unless otherwise specified, all parts and percentages are by weight, and the equipment and raw materials used can be purchased from the market or are commonly used in the art. The methods in the following examples, unless otherwise specified, are conventional methods in the art. The components or equipment in the following examples, unless otherwise specified, are general standard components or components known to those skilled in the art, and their structure and principles are known to those skilled in the art through technical manuals or through conventional experimental methods.

[0050] Embodiments of the present application will be described in detail below with reference to the drawings, in which, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present application. However, one or more embodiments can be practiced without these specific details.

[0051] Embodiments of the present application disclose a microbial dynamic simulation device, which comprises a test chamber body, an air exchange simulation unit, a human source simulation unit, a multi-parameter monitoring unit and a central control unit. Figure 1

[0052] The test chamber body has a preset volume and air tightness.

[0053] The air exchange simulation unit comprises an air inlet and outlet module and an air flow circulation module. The air inlet and outlet module is in fluid communication with the test chamber body and is used to control the air flow into and out of the test chamber body. The air flow circulation module is arranged inside the test chamber body and is used to regulate the air flow mixing state in the test chamber body.

[0054] The air inlet and outlet module is communicated with the test chamber body through a pipeline. A flow regulating valve and a temperature and humidity adjusting device are installed on the air inlet pipeline. The flow regulating valve is used to control the air inlet flow, and the range is 0-100 L / min, and the accuracy reaches ±0.1 L / min. The temperature and humidity adjusting device can adjust the air inlet temperature in the range of 5-40℃ according to the experimental requirements, and the accuracy is ±0.5℃, and the humidity adjusting range is 20%-80%RH, and the accuracy is ±2%RH. A flow regulating valve is also installed on the air outlet pipeline, which is used to control the air outlet flow, so as to ensure the stable adjustment of the air exchange rate in the test chamber.

[0055] The air flow circulation module comprises a plurality of air flow circulation fans arranged inside the test chamber body. The rotating speed and angle of the air flow circulation fans can be adjusted through the central control unit, so that different indoor air flow organization forms such as complete mixing (high wind speed) to stratification (low wind speed or closed) can be simulated.

[0056] The release end of the human source simulation unit is arranged inside the test chamber body and is used to dynamically release biological aerosols or their simulation materials according to instructions. The human source simulation unit comprises a pneumatic atomization type biological aerosol generator for simulating breathing or coughing and a vibration type dry powder dispenser for simulating skin or hair shedding. The pneumatic atomization type biological aerosol generator can atomize the suspension containing specific microorganisms or virus simulation materials into aerosols with a particle size distribution similar to that of the droplets generated by human coughing and speaking. The vibration type dry powder dispenser can release the powder containing microorganisms at a controllable rate, which is used to simulate the continuous shedding of human skin dandruff. The release time and intensity of them are controlled by the central control unit.

[0057] ​The sampling end of the multi-parameter monitoring unit is arranged inside the test chamber main body and is used for collecting biological aerosol parameter data inside the test chamber main body in real time. The multi-parameter monitoring unit comprises an aerosol time-of-flight mass spectrometer used for acquiring biological aerosol type, concentration and particle size distribution data in real time and a quartz crystal microbalance immunosensor used for monitoring specific microbial activity. The aerosol time-of-flight mass spectrometer can provide particle size, concentration and chemical component information of the aerosol at a resolution of seconds, so that particles of different sources can be distinguished. The quartz crystal microbalance immunosensor can specifically capture target microorganisms through the antibodies fixed on the surface and measure the mass, so as to reflect the change of the activity concentration of the target microorganisms in real time.

[0058] The central control unit is electrically connected with the air exchange simulation unit, the artificial source simulation unit and the multi-parameter monitoring unit, and is configured to:

[0059] loading a dynamic simulation protocol containing an artificial source event sequence and a feedback control rule set;

[0060] driving the artificial source simulation unit and the air exchange simulation unit to operate according to the dynamic simulation protocol;

[0061] receiving real-time monitoring data collected by the multi-parameter monitoring unit;

[0062] according to the comparison result of the real-time monitoring data and the feedback control rule set, dynamically adjusting the subsequent operation parameters of the artificial source simulation unit or the air exchange simulation unit.

[0063] Embodiments of the present application also disclose a microbial dynamic simulation method using the microbial dynamic simulation device. Figure 2 As shown in the figure, the microbial dynamic simulation method comprises the following steps:

[0064] loading a dynamic simulation protocol containing an artificial source event sequence and a feedback control rule set by the central control unit;

[0065] system dynamic characteristic calibration: controlling the artificial source simulation unit to generate instantaneous pulse type tracer particle aerosol under a preset air flow circulation mode; recording the concentration-time curve of the tracer particle aerosol by the multi-parameter monitoring unit; and performing normalization processing on the concentration-time curve to obtain a system impulse response function;

[0066] concurrently performing the following operations according to the dynamic simulation protocol: driving the artificial source simulation unit to perform dynamic release according to the artificial source event sequence, driving the air exchange simulation unit to perform a preset air exchange strategy, and continuously collecting and recording biological aerosol real-time monitoring data inside the test chamber main body by the multi-parameter monitoring unit;

[0067] The event-response correlation analysis is performed on the human source event sequence and the bioaerosol real-time monitoring data. Specifically, a system impulse response function is called to perform deconvolution calculation on the bioaerosol real-time monitoring data to obtain a resolved source contribution signal that eliminates the system delay and dispersion effect. The source contribution signal can attribute the mixed monitoring data to each independent release event in the human source event sequence.

[0068] The result of the event-response correlation analysis is compared with the feedback control rule set in real time. When a preset condition in the feedback control rule set is met, the central control unit dynamically adjusts the subsequent operation parameters of the air exchange simulation unit or the human source simulation unit. Specifically, a characteristic parameter corresponding to a specific release event in the human source event sequence is identified and extracted from the resolved source contribution signal. The characteristic parameter is compared with a condition threshold preset in the feedback control rule set. When the characteristic parameter meets the condition threshold, an adjustment instruction for the air exchange simulation unit or the human source simulation unit is generated, and the subsequent execution parameters of the dynamic simulation protocol are updated. The characteristic parameter includes a peak intensity of the source contribution signal corresponding to the specific release event and an integral area of the source contribution signal corresponding to the specific release event.

[0069] Before the simulation starts, an operator defines and loads a dynamic simulation protocol through a human-machine interaction interface of the central control unit. The protocol is a digital file containing at least two parts, i.e., a human source event sequence and a feedback control rule set. The human source event sequence is a structured time table that defines when, how and what substance is released in the following simulation. The feedback control rule set is a series of "IF-THEN" logical statements that define the feedback behavior of the system. The feedback control rule set at least includes the following rules: if the integral area attributed to a simulated coughing event exceeds a first dose threshold, the air exchange rate of the air exchange simulation unit is increased; if the peak intensity attributed to a simulated dander shedding event exceeds a second concentration threshold for three consecutive times, the operation power of the air flow circulation module is dynamically increased to enhance the mixing and settling effect. For example, IF the integral area of the source contribution signal attributed to a Cough_High event > 5000 a.u., THEN the ACH is adjusted from 1.0 to 5.0 for 10 minutes. ACH refers to the air changes per hour.

[0070] Under the set background airflow condition, the artificial source simulation unit injects a pulse of inert tracer particles, which can be monodisperse polystyrene microspheres, into the chamber at t=0. The multi-parameter monitoring unit records the concentration-time curve of the inert tracer particles in the chamber starting from t=0. The curve usually shows a rapid rise followed by a slow exponential decay, which is shaped by the transport delay and turbulent diffusion of the airflow, and is not a perfect pulse. The central control unit normalizes the collected concentration curve to obtain the system impulse response function of the system under the airflow condition. The function is stored and used for subsequent deconvolution calculations.

[0071] The central control unit starts the formal simulation according to the sequence of artificial source events in the dynamic simulation protocol. This process is concurrent.

[0072] At the time points specified in the protocol, the central control unit sends instructions to the artificial source simulation unit to execute the corresponding release events. For example, at t=60s, the generator performs a "high-intensity cough"; during t=120s to t=300s, the dispenser continuously performs "low-intensity dander shedding". At the same time, the central control unit drives the air exchange simulation unit to operate according to the preset strategy, such as maintaining an ACH of 1.0 and moderate internal circulation. From the start of the simulation, the multi-parameter monitoring unit continuously collects real-time data of bioaerosols in the chamber and sends them to the central control unit with time stamps.

[0073] The central control unit receives the real-time monitoring data Y(t) with aliasing, delay, and distortion. By calling the previously obtained system impulse response function H(t) and using deconvolution algorithms such as the Richardson-Lucy algorithm, Y(t) is deconvolved. The mathematical essence is to solve X(t) in the convolution equation Y(t) = X(t) * H(t), where * represents convolution operation. The calculation result is the deconvolved source contribution signal X(t). The blurred and overlapping response peaks in the original signal Y(t) are restored to a series of clear and sharp pulse peaks in X(t) that accurately correspond to the true release events in time.

[0074] The central control unit then analyzes the pure source contribution signal X(t). As shown in Figure 3 According to the time stamps of the sequence of artificial source events, the central control unit locates the pulse peak corresponding to each release event (such as the cough at t=60s) on X(t), and calculates the characteristic parameters of the peak, such as peak intensity (representing the maximum instantaneous concentration contribution caused by the event) and integral area (representing the total dose contribution introduced by the event).

[0075] The central control unit compares the extracted feature parameters (e.g. the integral area of a cough event) with condition thresholds in the feedback control rule set in real time. If one or more rules are satisfied, e.g. the integral area of a cough event exceeds a pre-set high risk dose threshold, the central control unit generates an adjustment instruction. The instruction is sent to the corresponding execution unit. For example, a new set value is sent to the air intake and exhaust module, dynamically increasing the ACH from 1.0 to 5.0, or an instruction is sent to the air circulation module to increase the speed of the internal circulation fan. At the same time, the subsequent execution parameters of the dynamic simulation protocol are updated.

[0076] Through the cyclic execution of the above steps, the present application can accurately reproduce and quantify the whole process of the dynamic generation, diffusion and interaction with environmental interventions of bioaerosols in the real world.

[0077] The principles and implementation modes of the present application are described herein by applying specific examples, and the above description of the examples is only for the purpose of helping to understand the method of the present application and its core idea. It should be noted that, for those skilled in the art, without departing from the principles of the present application, the present application can be improved and modified in several ways, and these improvements and modifications also fall within the protection scope of the claims of the present application.

Claims

1. A dynamic microbe simulation device, characterized by: The microbial dynamic simulation device comprises: a test chamber body with a preset volume and air tightness; an air exchange simulation unit, which comprises an air inlet and outlet module and an air flow circulation module; the air inlet and outlet module is in fluid communication with the test chamber body, and is used to control the gas flow in and out of the test chamber body; the air flow circulation module is arranged inside the test chamber body, and is used to regulate the air flow mixing state in the test chamber body; a human source simulation unit, a release end of the human source simulation unit being arranged inside the test chamber body, and being used to dynamically release biological aerosols or simulation substances thereof according to instructions; a multi-parameter monitoring unit, a sampling end of the multi-parameter monitoring unit being arranged inside the test chamber body, and being used to collect biological aerosol parameter data inside the test chamber body in real time; a central control unit, which is electrically connected with the air exchange simulation unit, the human source simulation unit and the multi-parameter monitoring unit, and is configured to: load a dynamic simulation protocol comprising a human source event sequence and a feedback control rule set; drive the human source simulation unit and the air exchange simulation unit to operate according to the dynamic simulation protocol; receive real-time monitoring data collected by the multi-parameter monitoring unit; dynamically adjust subsequent operation parameters of the human source simulation unit or the air exchange simulation unit according to the comparison result of the real-time monitoring data and the feedback control rule set.

2. The dynamic microbe simulation device of claim 1, wherein: The human source simulation unit comprises a pneumatic atomization type biological aerosol generator for simulating breathing or coughing and / or a vibration type dry powder dispenser for simulating skin or hair shedding; and the multi-parameter monitoring unit comprises an aerosol time-of-flight mass spectrometer for acquiring biological aerosol type, concentration and particle size distribution data in real time and / or a quartz crystal microbalance immunosensor for monitoring specific microbial activity.

3. A method for dynamic simulation of microorganisms using the dynamic simulation device for microorganisms according to claim 1, characterized by: The microbial dynamic simulation method comprises the following steps: loading, by the central control unit, a dynamic simulation protocol comprising a human source event sequence and a feedback control rule set; concurrently performing the following operations according to the dynamic simulation protocol: driving the human source simulation unit to perform dynamic release according to the human source event sequence, driving the air exchange simulation unit to perform a preset air exchange strategy, and continuously collecting and recording biological aerosol real-time monitoring data inside the test chamber body by the multi-parameter monitoring unit; performing event-response correlation analysis on the human source event sequence and the biological aerosol real-time monitoring data; real-time comparing the event-response correlation analysis result with the feedback control rule set, and dynamically adjusting subsequent operation parameters of the air exchange simulation unit or the human source simulation unit by the central control unit when a preset condition in the feedback control rule set is met.

4. The method of claim 3, wherein: Before concurrently performing the following operations according to the dynamic simulation protocol, the microbial dynamic simulation method further comprises a system dynamic characteristic calibration step for obtaining a system impulse response function representing inherent response characteristics of the microbial dynamic simulation device.

5. The method of claim 4, wherein: The system dynamic characteristic calibration step specifically comprises: controlling the artificial source simulation unit to generate a transient pulse of tracer particle aerosol in a preset air flow circulation mode; recording a concentration-time curve of the tracer particle aerosol by the multi-parameter monitoring unit; normalizing the concentration-time curve to obtain a system impulse response function.

6. The method of claim 4, wherein: The event-response correlation analysis is achieved by a signal deconvolution step on the real-time monitoring data of the biological aerosol, and the signal deconvolution step specifically includes: calling the system impulse response function obtained in the system dynamic characteristic calibration step to perform deconvolution calculation on the real-time monitoring data of the biological aerosol, so as to obtain a resolved source contribution signal in which the system delay and dispersion effect are eliminated, and the resolved source contribution signal can attribute the mixed monitoring data to each independent release event in the artificial source event sequence.

7. The method of claim 6, wherein: The results of the event-response correlation analysis are compared with the feedback control rule set in real time, and when a preset condition in the feedback control rule set is met, the subsequent operation parameters of the air exchange simulation unit or the artificial source simulation unit are dynamically adjusted by the central control unit, specifically including: identifying and extracting a characteristic parameter corresponding to a specific release event in the artificial source event sequence from the resolved source contribution signal; comparing the characteristic parameter with a condition threshold value preset in the feedback control rule set; when the characteristic parameter meets the condition threshold value, generating an adjustment instruction for the air exchange simulation unit or the artificial source simulation unit, and updating the subsequent execution parameters of the dynamic simulation protocol.

8. The method of claim 7, wherein: The characteristic parameter includes a peak intensity of the source contribution signal corresponding to the specific release event and / or an integral area of the source contribution signal corresponding to the specific release event.

9. The method of claim 7, wherein: The feedback control rule set at least includes the following rules: if the integral area attributed to the simulated coughing event exceeds a first dose threshold, the air exchange rate of the air exchange simulation unit is increased; if the peak intensity attributed to the simulated dander shedding event exceeds a second concentration threshold for three consecutive times, the operation power of the air flow circulation module is dynamically increased to strengthen the mixing and sedimentation effect.

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