AI simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment

Abstract

The present invention relates to the technical field of infectious disease on-site simulation, and in particular to an AI simulation experimental system for on-site epidemics of respiratory infectious diseases based on environmental assessment. The present invention performs a virus transmission risk assessment by using movement trajectories and behavioral data of infectious disease personnel, performs a virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data, and contact conditions with nearby facilities, performs a path virus risk assessment based on the path virus regional diffusion analysis results, the evacuation personnel situation, and the virus attenuation situation, and obtains an evacuation path based on the path virus risk assessment results. By evaluating the path virus risk, paths with lower virus transmission risks can be accurately identified. During an infectious disease outbreak, selecting such paths for evacuation can minimize the chances of evacuated personnel coming into contact with the virus, effectively reducing the possibility of contracting the infectious disease, and protecting the lives, health, and safety of the people.

Description

Technical Field

[0001] The present invention relates to the technical field of infectious disease on-site simulation, and in particular to an AI simulation experimental system for on-site epidemics of respiratory infectious diseases based on environmental assessment. Background Art

[0002] Respiratory infectious diseases are characterized by rapid and widespread transmission, posing a serious threat to public health and social order. Respiratory infections, such as influenza, can spread rapidly through various channels, including airborne droplets and aerosols. Once a case occurs in crowded places such as shopping malls, schools, hospitals, and train stations, the virus can easily spread rapidly, leading to widespread infection. In these situations, timely and effective evacuation becomes crucial to minimizing the risk of infection. For example, the discovery of a confirmed case at a large-scale exhibition or factory requires rapid evacuation. Traditional evacuation route planning typically focuses on building structure and fire safety, primarily considering how to quickly evacuate people to safe areas in emergencies such as fires and earthquakes. However, in the context of respiratory infectious diseases, these planning methods fail to fully consider the characteristics and risks of viral transmission. For example, traditional evacuation routes may pass through crowded areas or poorly ventilated spaces, which can increase the risk of infection during an epidemic.

[0003] In summary, the existing on-site evacuation technology for infectious diseases has many shortcomings and cannot meet the needs of practical applications. Therefore, there is an urgent need for an AI simulation experiment system for on-site epidemics of respiratory infectious diseases based on environmental assessment. Summary of the Invention

[0004] In order to overcome the defects and shortcomings of the existing technology, the present invention provides an AI simulation experiment system for on-site epidemics of respiratory infectious diseases based on environmental assessment.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] In the first aspect, the present invention provides an AI simulation experiment system for on-site epidemics of respiratory infectious diseases based on environmental assessment, including a data acquisition module, a personnel behavior analysis module, a diffusion analysis module, an evacuation path risk assessment module and an evacuation path analysis module. The data acquisition module is used to obtain the movement trajectory and personnel behavior data of the corresponding infectious disease personnel, and at the same time obtain regional facilities and environmental data. The personnel behavior analysis module is used to perform virus transmission risk assessment based on the movement trajectory and personnel behavior data of the corresponding infectious disease personnel. The diffusion analysis module performs virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data and contact conditions of nearby facilities. The evacuation path risk assessment module performs path virus risk assessment based on the path virus regional diffusion analysis results, evacuation personnel conditions and virus attenuation conditions. The evacuation path analysis module is used to acquire evacuation paths based on the path virus risk assessment results.

[0007] In one implementation of the present invention, the data acquisition module includes a personnel information acquisition unit, a personnel trajectory acquisition unit, a personnel behavior acquisition unit, a facility condition acquisition unit, a corresponding position environment acquisition unit and an evacuation path acquisition unit, wherein the personnel information acquisition unit is connected to the medical institution management platform to obtain the infectious disease status of personnel in real time, the personnel trajectory acquisition unit is used to obtain the movement trajectory of infected personnel in the venue, which can be collected by a video tracking module or a positioning module, the personnel behavior acquisition unit is used to obtain the behavior information of personnel on the movement trajectory, including the length of stay and the behavior action data on the trajectory, and the behavior action data includes the degree of opening and closing of the patient's mouth and the distance from the facility, the corresponding position environment acquisition unit is used to obtain the corresponding environmental condition data on the patient's path, wherein the corresponding environmental condition data includes temperature, humidity and other environmental types that affect the survival of the virus, and the evacuation path acquisition unit is used to obtain several evacuation paths set for the venue under emergency conditions.

[0008] In one implementation of the present invention, the virus transmission risk assessment based on the movement trajectory and behavior data of infectious disease personnel includes the following specific contents:

[0009] Obtain the movement trajectory of the corresponding infectious disease personnel, obtain the corresponding infectious disease personnel's stay time at each point on the trajectory and the behavioral action data on the trajectory, and perform the corresponding point virus transmission analysis based on the stay time at the corresponding point, the frequency of behavioral actions on the trajectory, and the frequency of opening and closing of the mouth. The virus transmission analysis calculation formula is: , where tm is the safe time at the corresponding location, T is the length of time the infectious person stays at the corresponding point, and dt is the time integral. is the weight of frequent action transmission, is the oral infection weight, V() is the volume of the image, kt is the action image of the infectious disease personnel at time t, k(t-1) is the action image of the infectious disease personnel at time t-1, is the intersection of the images, is the union of the images, ct is the opening and closing degree of the infectious disease personnel at time t, cm is the opening and closing degree safety value, where, Represents the similarity between the action image of the infectious disease personnel at time t and the action image of the infectious disease personnel at time t-1, which is subtracted from 1. That is, it represents the frequency of changes in behavioral actions. The frequent action infection weight and oral infection weight are obtained through experiments.

[0010] In one implementation of the present invention, performing regional virus spread analysis based on virus transmission risk assessment results, environmental data, and contact information with nearby facilities includes the following specific steps:

[0011] Obtain environmental data of infectious disease personnel at each point in their trajectory and their contact with nearby facilities;

[0012] The environmental transmission difficulty analysis is performed based on the environmental data of the corresponding points. The environmental transmission difficulty analysis formula is: , where n is the type of environment that affects the survival of the virus, ri is the influence coefficient of the i-th environmental type, xi is the specific value of the i-th environmental type at the corresponding point, and xim is the specific value of the i-th environmental type that is most suitable for the survival of the virus, which is obtained through experiments;

[0013] Obtain the location of the corresponding point facility and the anti-virus level data of the facility. Based on the location of the corresponding point facility, obtain the real-time distance data of the corresponding point facility relative to the infectious disease personnel. Based on the distance data of the corresponding point facility relative to the infectious disease personnel and the anti-virus level data of the facility, obtain the facility transmission difficulty of the corresponding point. The calculation formula of the facility transmission difficulty is: , where m is the number of facilities, Vj is the volume of the jth facility, Vc is the total volume of the facilities, Qj is the antiviral level of the jth facility, hjt is the distance from the jth facility to the infectious person at time t, hc is the distance safety value, and exp() is the power of the natural constant e. In this formula, exp() follows the distance attenuation in epidemiology. By comprehensively considering multiple factors such as facility volume, antiviral level, and distance from the source of infection, the infectious disease transmission risk of each corresponding point can be more accurately assessed;

[0014] Obtain the environmental transmission difficulty analysis results and facility transmission difficulty analysis results of the corresponding point, and perform weighted summation to obtain the transmission difficulty of the corresponding point. Environmental transmission difficulty and facility transmission difficulty are two important aspects that affect the spread of infectious diseases, but their mechanisms of action are different. Environmental factors such as air circulation, temperature, and humidity can affect the survival and spread of pathogens in the air; while facility factors such as the type of facility and the layout within the facility can affect the frequency of contact between people. Through weighted summation, these two factors can be combined to more comprehensively reflect the infectious disease transmission risk of the point.

[0015] In one implementation of the present invention, the virus regional spread analysis based on the virus transmission risk assessment results, environmental data, and contact information of nearby facilities also includes the following specific contents:

[0016] Obtain the virus propagation analysis results and the propagation difficulty of the corresponding point, and substitute them into the virus regional diffusion analysis value calculation formula to calculate the virus regional diffusion analysis value. The virus regional diffusion analysis value calculation formula is: ,in, It is a difficulty conversion factor obtained through experiments and is used to represent the impact of the diffusion difficulty on the abnormal diffusion of the virus area.

[0017] In one implementation of the present invention, the path virus risk assessment based on the path virus regional diffusion analysis results, the evacuation of personnel, and the virus attenuation includes the following specific contents:

[0018] The average speed data of the evacuees in the venue is obtained, and at the same time, the trajectory data of each planned evacuation path is obtained, and the virus regional diffusion analysis value of the corresponding point of each evacuation path is obtained. At the same time, based on the average speed data of the evacuees in the venue, the time it takes for the evacuees to arrive at the corresponding point of the evacuation path is obtained, that is, the distance between the corresponding point of the evacuation path and the position of the evacuees in the venue is divided by the average speed data to obtain the time. The virus attenuation time is obtained by adding the time it takes for the evacuees to arrive at the corresponding point of the evacuation path and the time from the infectious disease personnel passing the corresponding point of the evacuation path to the current time. The path virus risk of the evacuation path is obtained based on the virus attenuation time of each corresponding point on the evacuation path and the virus regional diffusion analysis value. The path virus risk calculation formula of the evacuation path is: , where Lc is the set standard distance, the distance unit used to eliminate the integral, L is the length of the evacuation path, Kzl is the virus regional diffusion analysis value at position l on the evacuation path, Tl is the virus attenuation time of the corresponding point at position l on the evacuation path, and dl is the distance integral. The virus attenuation rate is used to quantify the inactivation rate of the virus in vitro. The minimum value is 0. If the calculated result is less than 0, the value is set to 0 because the virus risk cannot be negative.

[0019] The virus risk of each planned evacuation path is obtained, and the evacuation path corresponding to the minimum virus risk is selected as the selected evacuation path and sent to the corresponding evacuees. The evacuees are evacuated according to the selected evacuation path.

[0020] In one implementation of the present invention, the system further includes a virus transmission information acquisition unit for acquiring the virus's transmission distance and decay speed through corresponding virus transmission experiments;

[0021] In a second aspect, the present invention also provides an AI simulation experimental method for on-site epidemics of respiratory infectious diseases based on environmental assessment, comprising the following specific steps:

[0022] Obtain the movement trajectory and behavior data of infectious disease personnel, as well as regional facilities and environmental data;

[0023] Assess the risk of virus transmission through the movement trajectory and behavior data of infectious disease personnel;

[0024] Conduct regional virus spread analysis based on virus transmission risk assessment results, environmental data, and contact with nearby facilities;

[0025] Conduct path virus risk assessment based on the results of path virus regional diffusion analysis, evacuation personnel situation, and virus attenuation;

[0026] The evacuation route is obtained based on the results of the virus risk assessment of the route.

[0027] In a third aspect, the present invention provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes an AI simulation experimental method for on-site epidemics of respiratory infectious diseases based on environmental assessment by calling the computer program stored in the memory.

[0028] In a fourth aspect, the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute an AI simulation experimental method for on-site epidemics of respiratory infectious diseases based on environmental assessment.

[0029] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0030] The present invention conducts a virus transmission risk assessment based on the movement trajectory and behavior data of infectious disease personnel, conducts a virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data, and contact conditions of nearby facilities, conducts a path virus risk assessment based on the path virus regional diffusion analysis results, the evacuation personnel conditions, and the virus attenuation conditions, and acquires an evacuation path based on the path virus risk assessment results. By assessing the path virus risk, paths with lower virus transmission risks can be accurately identified. During an infectious disease outbreak, selecting such paths for evacuation can minimize the contact opportunities between evacuated personnel and the virus, effectively reduce the possibility of contracting infectious diseases, and protect the lives, health, and safety of the people. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0032] Figure 1 It is a schematic diagram of the overall process of an embodiment of the system of the present invention;

[0033] Figure 2 This is a flow chart of step three of an embodiment of the method of the present invention;

[0034] Figure 3 A schematic structural diagram of an embodiment of the system of the present invention;

[0035] Figure 4 Schematic diagram of the data acquisition module structure in the system embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0037] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0038] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it constitute a separate or selective embodiment that is mutually exclusive with other embodiments.

[0039] Example 1

[0040] like Figures 1 to 2As shown, this embodiment provides an AI simulation experiment method for on-site epidemic of respiratory infectious diseases based on environmental assessment, which specifically includes the following steps:

[0041] Step 1: Obtain the movement trajectory and behavior data of the corresponding infectious disease personnel, and obtain regional facilities and environmental data;

[0042] Step 2: Assess the risk of virus transmission based on the movement trajectory and behavior data of infectious disease personnel;

[0043] In a specific embodiment, the risk assessment of virus transmission is performed based on the movement trajectory and behavior data of infectious disease personnel, including the following specific contents:

[0044] Obtain the movement trajectory of the corresponding infectious disease personnel, obtain the corresponding infectious disease personnel's stay time at each point on the trajectory and the behavioral action data on the trajectory, and perform the corresponding point virus transmission analysis based on the stay time at the corresponding point, the frequency of behavioral actions on the trajectory, and the frequency of opening and closing of the mouth. The virus transmission analysis calculation formula is: , where tm is the safe time at the corresponding location, T is the length of time the infectious person stays at the corresponding point, and dt is the time integral. is the weight of frequent action transmission, is the oral infection weight, V() is the volume of the image, kt is the action image of the infectious disease personnel at time t, k(t-1) is the action image of the infectious disease personnel at time t-1, is the intersection of the images, is the union of the images, ct is the opening and closing degree of the infectious disease personnel at time t, cm is the opening and closing degree safety value, where, Represents the similarity between the action image of the infectious disease personnel at time t and the action image of the infectious disease personnel at time t-1, which is subtracted from 1. It represents the frequency of changes in behavioral movements. In epidemiology, the relationship between the opening and closing of the mouth and virus transmission mainly involves the droplet transmission mechanism of respiratory diseases. When speaking, the mouth and respiratory tract release droplets (containing virus particles). Studies have shown that: normal speaking: about 50-5000 droplets are generated per minute, and the number is related to volume and pronunciation intensity. Loud / frequent speaking: the number of droplets and the transmission distance are significantly increased (for example, when shouting, droplets can spread to more than 2 meters). The more times and longer the infected person speaks, the higher the cumulative viral load in the environment and the greater the risk of exposure to others. At the same time, the frequency of movement increases the chance of contact: high-frequency movement (such as shopping in shopping malls and commuting) will expand the contact radius and increase the probability of crossing with other people or contaminated surfaces. For every 0.5m / s increase in walking speed, the droplet diffusion distance can be extended by 20% to 30%. Rapid movement may accelerate aerosol resuspension. Among them, the frequent movement infection weight and oral infection weight are obtained through experiments;

[0045] Step 3: Conduct regional virus spread analysis based on the virus transmission risk assessment results, environmental data, and contact information from nearby facilities;

[0046] In one embodiment, performing a regional virus spread analysis based on virus transmission risk assessment results, environmental data, and contact information with nearby facilities includes the following specific steps:

[0047] S31. Obtain environmental data of the infectious disease personnel at each point in their trajectory and their contact with nearby facilities;

[0048] S32. Perform environmental communication difficulty analysis based on the environmental data of the corresponding point, wherein the environmental communication difficulty analysis formula is: , where n is the type of environment that affects the survival of the virus, ri is the influence coefficient of the i-th environmental type, xi is the specific value of the i-th environmental type at the corresponding point, and xim is the specific value of the i-th environmental type that is most suitable for the survival of the virus, obtained through experiments. For example, for the coronavirus, its optimal survival temperature range is 4 degrees Celsius to 20 degrees Celsius. Here, the specific value of the i-th environmental type that is most suitable for the survival of the virus is taken as the median value of 12 degrees Celsius;

[0049] S33. Obtain the location of the corresponding point facility and the anti-virus level data of the facility. Based on the location of the corresponding point facility, obtain real-time distance data of the corresponding point facility relative to the infectious disease personnel. Based on the distance data of the corresponding point facility relative to the infectious disease personnel and the anti-virus level data of the facility, obtain the facility transmission difficulty of the corresponding point. The calculation formula for the facility transmission difficulty is: , where m is the number of facilities, Vj is the volume of the jth facility, Vc is the total volume of the facilities, Qj is the antiviral level of the jth facility, hjt is the distance from the jth facility to the infectious person at time t, hc is the distance safety value, that is, the safe transmission distance of the virus, and exp() is the power of the natural constant e. In this formula, exp() follows the distance attenuation in epidemiology. By comprehensively considering multiple factors such as facility volume, antiviral level, and distance from the source of infection, the infectious disease transmission risk of each corresponding point can be more accurately assessed;

[0050] S34. Obtain the environmental transmission difficulty analysis results and the facility transmission difficulty analysis results for the corresponding point, and perform weighted summation to obtain the transmission difficulty of the corresponding point. Environmental transmission difficulty and facility transmission difficulty are two important aspects that affect the spread of infectious diseases, but their mechanisms of action are different. Environmental factors such as air circulation, temperature, and humidity can affect the survival and spread of pathogens in the air; while facility factors such as the type of facility and the layout within the facility can affect the frequency of human contact. Through weighted summation, these two factors can be combined to more comprehensively reflect the infectious disease transmission risk at the point;

[0051] S35. Obtain the virus propagation analysis result of the corresponding point and the propagation difficulty of the corresponding point, and substitute them into the virus regional diffusion analysis value calculation formula to calculate the virus regional diffusion analysis value, wherein the virus regional diffusion analysis value calculation formula is: ,in, is the difficulty conversion factor, obtained through experiments, used to represent the impact of the diffusion difficulty on the abnormal spread of the virus area;

[0052] Step 4: Conduct a path virus risk assessment based on the results of the path virus regional diffusion analysis, the evacuation of personnel, and the virus attenuation;

[0053] In one specific embodiment, a path virus risk assessment is performed based on the path virus regional diffusion analysis results, the evacuation of personnel, and the virus attenuation, including the following specific contents:

[0054] The average speed data of the evacuees in the venue is obtained, and at the same time, the trajectory data of each planned evacuation path is obtained, and the virus regional diffusion analysis value of the corresponding point of each evacuation path is obtained. At the same time, based on the average speed data of the evacuees in the venue, the time it takes for the evacuees to arrive at the corresponding point of the evacuation path is obtained, that is, the distance between the corresponding point of the evacuation path and the position of the evacuees in the venue is divided by the average speed data to obtain the time. The virus attenuation time is obtained by adding the time it takes for the evacuees to arrive at the corresponding point of the evacuation path and the time from the infectious disease personnel passing the corresponding point of the evacuation path to the current time. The path virus risk of the evacuation path is obtained based on the virus attenuation time of each corresponding point on the evacuation path and the virus regional diffusion analysis value. The path virus risk calculation formula of the evacuation path is: , where Lc is the set standard distance, the distance unit used to eliminate the integral, L is the length of the evacuation path, Kzl is the virus regional diffusion analysis value at position l on the evacuation path, Tl is the virus attenuation time of the corresponding point at position l on the evacuation path, and dl is the distance integral. The virus decay rate is used to quantify the inactivation rate of the virus in vitro;

[0055] Obtain the path virus risk of each planned evacuation path, select the evacuation path corresponding to the minimum path virus risk as the selected evacuation path and send it to the corresponding evacuees. The evacuees evacuate according to the selected evacuation path;

[0056] Step 5: Obtain evacuation routes based on the virus risk assessment results.

[0057] In this embodiment, it should be noted that the various setting parameters in this embodiment are obtained through experiments using historical data. The specific experimental content is: obtaining the movement trajectory and personnel behavior data of infectious disease personnel during the historical evacuation process, and simultaneously obtaining regional facilities and environmental data, and importing them into the various steps of this embodiment to calculate and obtain the evacuation path, and simultaneously obtaining the evacuation path with the minimum infection situation, and importing the actual evacuation path with the minimum infection situation and the calculated evacuation path into the fitting software MATLAB to fit and output the values ​​of the setting parameters that meet the maximum accuracy rate;

[0058] The specific steps are: import the sorted historical personnel movement trajectory, personnel behavior data, and regional facilities and environmental data into the evacuation path calculation model of this embodiment, perform evacuation path calculation according to the steps of this embodiment, and obtain the calculated evacuation path. During the calculation process, use the currently set parameter values ​​for simulation, combine the infectious disease spread in the historical data, analyze the actual number of infected people or the scope of infection under different evacuation paths, and select the evacuation path with the minimum actual infection from all possible evacuation paths. Use the corresponding function in MATLAB to import the converted data into the workspace and select the fitting method: according to the characteristics of the data and the nature of the problem, select a suitable fitting method, such as linear fitting, nonlinear fitting, etc. For example, if the data presents a linear relationship, the polyfit function can be used for linear fitting; if it is a nonlinear relationship, the fit function can be used for nonlinear fitting; during the fitting process, the set parameters in this embodiment are used as variables to be optimized. By continuously adjusting the values ​​of these parameters, the error between the evacuation path obtained by calculation and the evacuation path with the minimum actual infection is minimized;

[0059] It should be noted that in this embodiment, this embodiment has the following benefits: virus transmission risk assessment is performed by corresponding to the movement trajectory and personnel behavior data of infectious disease personnel, virus regional diffusion analysis is performed based on the virus transmission risk assessment results, environmental data and contact conditions of nearby facilities, path virus risk assessment is performed based on the path virus regional diffusion analysis results, evacuation personnel conditions and virus attenuation conditions, and evacuation paths are obtained based on the path virus risk assessment results. Through the path virus risk assessment, paths with lower virus transmission risks can be accurately identified. During an infectious disease outbreak, such paths can be selected for personnel evacuation, which can minimize the chances of evacuated personnel coming into contact with the virus, effectively reduce the possibility of contracting infectious diseases, and protect the lives, health and safety of the people.

[0060] Example 2

[0061] like Figure 3 and Figure 4As shown, this embodiment provides an AI simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment, which is implemented based on the AI ​​simulation experiment method for on-site epidemic of respiratory infectious diseases based on environmental assessment of Example 1, including: a data acquisition module, a personnel behavior analysis module, a diffusion analysis module, an evacuation path risk assessment module and an evacuation path analysis module. The data acquisition module is used to obtain the movement trajectory and personnel behavior data of the corresponding infectious disease personnel, and at the same time obtain regional facilities and environmental data. The personnel behavior analysis module is used to perform virus transmission risk assessment based on the movement trajectory and personnel behavior data of the corresponding infectious disease personnel. The diffusion analysis module performs virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data and contact conditions of nearby facilities. The evacuation path risk assessment module performs path virus risk assessment based on the path virus regional diffusion analysis results, evacuation personnel conditions and virus attenuation conditions. The evacuation path analysis module is used to obtain the evacuation path according to the path virus risk assessment results; the data acquisition module includes a personnel information acquisition unit, a personnel trajectory acquisition unit, a personnel behavior acquisition unit, a facility condition acquisition unit, and an environment acquisition unit at the corresponding location. The evacuation path acquisition unit includes a personnel information acquisition unit that is connected to the medical institution management platform to obtain real-time information on the infectious disease status of personnel. The personnel trajectory acquisition unit is used to obtain the movement trajectory of infected personnel within the venue. This information can be collected through a video tracking module or a positioning module. The information collected is for the prevention and control of infectious diseases for public safety and does not collect private information such as the personnel's name and age. Moreover, the collected information is stored in the corresponding storage module and will not be made public, so there is no violation of privacy. The personnel behavior acquisition unit is used to obtain behavioral information on the personnel's movement trajectory, including the length of stay and behavioral action data along the trajectory. At the same time, the behavioral action data includes the degree of opening and closing of the patient's mouth and the distance from the facility. This can all be obtained based on simple conventional image technology, so the image acquisition process will not be detailed here. The facility status acquisition unit is used to obtain the facility's antiviral level data. The antiviral level here can be classified according to the corresponding material of the facility, and can be the proportion of antiviral materials on the facility surface to the total materials. Antiviral materials, such as copper alloys, can inactivate 99% of the virus within 2 hours of contact.9% of the coronavirus is used to analyze the antiviral ability of the facility. The virus carried by the patient is contaminated on the facility, resulting in virus infection in the facility. The environment acquisition unit at the corresponding position is used to obtain the corresponding environmental condition data on the patient's path, wherein the corresponding environmental condition data includes temperature, humidity and other environmental types that affect the survival of the virus. The system also includes a virus infection information acquisition unit to obtain the virus's infection distance and attenuation speed, which are obtained through the corresponding virus infection experiment; wherein, for example, the virus attenuation speed is obtained through the experiment, and the specific experimental method is: the cultured virus is appropriately diluted and prepared into a virus suspension of a certain titer as the initial sample. According to the purpose of the experiment, a suitable carrier is selected to carry the virus, such as a glass surface, a plastic surface, a metal surface, etc., or a mold. Simulate air aerosols, liquid media, etc., and set up experimental and control groups according to different influencing factors (such as temperature, humidity, light, different material surfaces, etc.). For example, different temperature groups (such as 4°C, 25°C, and 37°C) are set up to study the effect of temperature on virus attenuation. Environmental control: Use environmental simulation equipment to place the experimental group under set environmental conditions, and the control group under standard environmental conditions (such as 25°C and relative humidity of 50%). Use a pipette to draw a certain amount of virus suspension and evenly drip it on the surface of the selected carrier; for aerosol experiments, use an aerosol generator to atomize the virus suspension and then release it into the simulation cabin. The time from the virus inoculation into the carrier or release into the environment is recorded as the initial time of the experiment. Different sampling time points are set according to the characteristics of the virus and experimental experience. For example, sampling is performed at 0.5 hours, 1 hour, 2 hours, 4 hours, 8 hours, 12 hours, and 24 hours after inoculation. The surface of the virus inoculated is wiped with a sampling swab, and the swab is placed in a centrifuge tube containing virus transport medium. The viral nucleic acid in the sample is extracted, and a real-time fluorescence quantitative PCR reaction is performed using specific primers and probes. The number of copies of the viral nucleic acid in the sample is calculated using a standard curve. The virus detection results (such as the number of viral nucleic acid copies, viral titer, etc.) of each time point, each experimental group, and each control group are accurately recorded. The virus attenuation curve is drawn with time as the horizontal axis and the logarithm of the viral titer or nucleic acid copy number as the vertical axis. The curve allows for intuitive observation of the virus's decay over time under different conditions. Half-life calculation: The curve determines the time required for the viral titer or nucleic acid copy number to decrease to half of its initial value, i.e., the half-life, to measure the virus's decay rate. The evacuation route acquisition unit is used to obtain several evacuation routes set for the venue in an emergency, such as escape routes. This is a rule-based setting for the venue. The specific steps of each module in this system embodiment are similar to those of the method embodiment in Example 1 and will not be repeated here.

[0062] Example 3

[0063] An electronic device according to an embodiment of the present invention includes a processor and a memory, wherein the memory stores a computer program that can be called by the processor. The processor executes an AI simulation experimental method for on-site epidemics of respiratory infectious diseases based on environmental assessment by calling the computer program stored in the memory. It should be noted that all computer programs of the AI ​​simulation experimental method for on-site epidemics of respiratory infectious diseases based on environmental assessment are implemented in C language.

[0064] Example 4

[0065] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0066] When the computer program runs on a computer device, the computer device is enabled to execute the above-mentioned AI simulation experimental method for on-site epidemics of respiratory infectious diseases based on environmental assessment.

[0067] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. A computer program product comprises one or more computer instructions or computer programs. When loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are fully or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, computer instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. A computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

[0068] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different systems to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0069] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned system embodiments and will not be repeated here.

[0070] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and systems can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only one type. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not performed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0071] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0072] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0073] Throughout this specification, references to terms such as "one embodiment," "example," and "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0074] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. The AI ​​simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment is characterized by: It includes a data acquisition module, a personnel behavior analysis module, a diffusion analysis module, an evacuation path risk assessment module and an evacuation path analysis module. The data acquisition module is used to obtain the movement trajectory and personnel behavior data of the corresponding infectious disease personnel, and at the same time obtain regional facilities and environmental data. The personnel behavior analysis module is used to perform virus transmission risk assessment based on the movement trajectory and personnel behavior data of the corresponding infectious disease personnel. The diffusion analysis module performs virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data and contact conditions of nearby facilities. The evacuation path risk assessment module performs path virus risk assessment based on the path virus regional diffusion analysis results, evacuation personnel conditions and virus attenuation conditions. The evacuation path analysis module is used to acquire the evacuation path according to the path virus risk assessment results.

2. The AI ​​simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment according to claim 1 is characterized in that: The data acquisition module includes a personnel information acquisition unit, a personnel trajectory acquisition unit, a personnel behavior acquisition unit, a facility situation acquisition unit, a corresponding location environment acquisition unit and an evacuation path acquisition unit, wherein the personnel information acquisition unit is connected to the medical institution management platform to obtain the infectious disease status of personnel in real time, the personnel trajectory acquisition unit is used to obtain the movement trajectory of infected personnel in the venue, the facility situation acquisition unit is used to obtain the anti-virus level data of the facility, the corresponding location environment acquisition unit is used to obtain the corresponding environmental situation data on the patient path, and the evacuation path acquisition unit is used to obtain several evacuation paths set for the venue under emergency conditions.

3. The AI ​​simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment according to claim 1 is characterized in that: The virus transmission risk assessment based on the movement trajectory and behavior data of infectious disease personnel includes the following specific contents: Obtain the movement trajectory of the corresponding infectious disease personnel, obtain the corresponding infectious disease personnel's stay time at each point on the trajectory and the behavioral action data on the trajectory, and perform virus transmission analysis at the corresponding point based on the stay time at the corresponding point, the frequency of behavioral actions on the trajectory, and the frequency of opening and closing of the mouth. The virus transmission analysis calculation formula is: , where tm is the safe time at the corresponding location, T is the length of time the infectious person stays at the corresponding point, and dt is the time integral. is the weight of frequent action transmission, is the oral infection weight, V() is the volume of the image, kt is the action image of the infectious disease personnel at time t, k(t-1) is the action image of the infectious disease personnel at time t-1, is the intersection of the images, is the union of images, ct is the opening and closing degree of infectious personnel at time t, and cm is the safety value of the opening and closing degree.

4. The AI ​​simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment according to claim 3 is characterized in that: The virus regional spread analysis based on the virus transmission risk assessment results, environmental data, and contact information of nearby facilities includes the following specific steps: Obtain environmental data of infectious disease personnel at each point in their trajectory and their contact with nearby facilities; The environmental transmission difficulty analysis is performed based on the environmental data of the corresponding points. The environmental transmission difficulty analysis formula is: , where n is the type of environment that affects the survival of the virus, ri is the influence coefficient of the i-th environmental type, xi is the specific value of the i-th environmental type at the corresponding point, and xim is the specific value of the i-th environmental type that is most suitable for the survival of the virus; Obtain the location of the corresponding point facility and the anti-virus level data of the facility, obtain the real-time distance data of the corresponding point facility relative to the infectious disease personnel based on the location of the corresponding point facility, and obtain the transmission difficulty of the corresponding point facility based on the distance data of the corresponding point facility relative to the infectious disease personnel and the anti-virus level data of the facility; Obtain the environmental propagation difficulty analysis results and facility propagation difficulty analysis results of the corresponding point, and perform weighted summation to obtain the propagation difficulty of the corresponding point.

5. The AI ​​simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment according to claim 4 is characterized in that: The regional virus spread analysis based on the virus transmission risk assessment results, environmental data, and contact information of nearby facilities also includes the following specific contents: Obtain the virus propagation analysis results and the propagation difficulty of the corresponding point, and substitute them into the virus regional diffusion analysis value calculation formula to calculate the virus regional diffusion analysis value. The virus regional diffusion analysis value calculation formula is: ,in, is the difficulty conversion factor, which is used to indicate the impact of the diffusion difficulty on the abnormal diffusion of the virus area, where Hk is the propagation difficulty of the corresponding point.

6. The AI ​​simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment according to claim 5 is characterized in that: The path virus risk assessment based on the path virus regional diffusion analysis results, evacuation personnel situation and virus attenuation situation includes the following specific contents: Obtain the average speed data of the evacuees in the venue, and at the same time obtain the trajectory data of each planned evacuation path, obtain the virus regional diffusion analysis value of the corresponding point of each evacuation path, and at the same time obtain the time it takes for the evacuees to arrive at the corresponding point of the evacuation path based on the average speed data of the evacuees in the venue. The virus decay time is obtained by adding the time it takes for the evacuees to arrive at the corresponding point of the evacuation path and the time from the infectious disease personnel passing the corresponding point of the evacuation path to the present. Based on the virus decay time of each corresponding point on the evacuation path and the virus regional diffusion analysis value, the path virus risk of the evacuation path is obtained; The virus risk of each planned evacuation path is obtained, and the evacuation path corresponding to the minimum virus risk is selected as the selected evacuation path and sent to the corresponding evacuees. The evacuees are evacuated according to the selected evacuation path.

7. The AI ​​simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment according to claim 6 is characterized in that: The calculation formula for the path virus risk of the evacuation path is: , where Lc is the set standard distance, L is the length of the evacuation path, Kzl is the virus regional diffusion analysis value at position l on the evacuation path, Tl is the virus attenuation time of the corresponding point at position l on the evacuation path, and dl is the distance integral. The virus decay rate.

8. The AI ​​simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment according to claim 4 is characterized in that: The formula for calculating the facility transmission difficulty is: , where m is the number of facilities, Vj is the volume of the jth facility, Vc is the total volume of the facilities, Qj is the antiviral level of the jth facility, hjt is the distance from the jth facility to the infectious personnel at time t, hc is the distance safety value, and exp() is the power of the natural constant e.

9. The AI ​​simulation experiment system for on-site epidemic of respiratory infectious diseases based on environmental assessment according to claim 2 is characterized in that: The data acquisition module also includes a virus infection information acquisition unit for acquiring the virus infection distance and attenuation speed.

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