Respiratory infectious disease on-site epidemic AI simulation experiment system based on environment evaluation

Abstract

The invention relates to the technical field of infectious disease on-site simulation, in particular to a respiratory infectious disease on-site epidemic AI simulation experiment system based on environment evaluation. Performing virus region diffusion analysis based on a virus propagation risk assessment result, the environment data and the contact condition of nearby facilities, performing path virus risk assessment based on a path virus region diffusion analysis result, a personnel evacuation condition and a virus attenuation condition, and acquiring an evacuation path according to a path virus risk assessment result. By evaluating the risk of the virus in the path, the path with relatively low virus transmission risk can be accurately identified, and the path is selected for personnel evacuation in the period of infectious disease outbreak, so that the contact opportunity between evacuated personnel and the virus can be reduced to the greatest extent, the possibility of infectious disease infection is effectively reduced, and the life health and safety of the public are guaranteed.

Description

Technical Field

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

[0002] Respiratory infectious diseases are characterized by rapid transmission speed and wide spread, posing a serious threat to public health and social order. Respiratory infectious diseases represented by influenza can spread rapidly through various channels such as airborne droplets and aerosols. In crowded places such as shopping malls, schools, hospitals, and stations, once a case appears, the virus is extremely likely to spread within a short time, resulting in large-scale infections. In this case, in order to reduce the risk of personnel infection, timely and effective personnel evacuation becomes a key measure. For example, after a confirmed case is found in some large-scale exhibition activities or factory workshops, it is necessary to quickly organize the evacuation of personnel. Traditional evacuation route planning usually focuses on building structures and fire safety, mainly considering how to quickly evacuate personnel to a safe area in case of emergencies such as fires and earthquakes. However, in the scenario of respiratory infectious diseases, these planning methods do not fully consider the characteristics and risks of virus transmission. For example, traditional evacuation routes may pass through crowded areas or spaces with poor ventilation, which will increase the probability of personnel infection during the epidemic of infectious diseases.

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

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

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides an on-site epidemic AI simulation experiment system for respiratory infectious diseases based on environmental assessment, including a data acquisition module, a personnel behavior analysis module, a diffusion analysis module, an evacuation route risk assessment module, and an evacuation route analysis module. The data acquisition module is used to acquire the movement trajectories and personnel behavior data of corresponding infectious disease patients, and at the same time acquire regional facility and environmental data. The personnel behavior analysis module is used to conduct a risk assessment of virus transmission through the movement trajectories and personnel behavior data of corresponding infectious disease patients. The diffusion analysis module conducts a virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data, and the contact situation of nearby facilities. The evacuation route risk assessment module conducts a risk assessment of the virus on the route based on the results of the virus regional diffusion analysis on the route, the situation of evacuated personnel, and the virus attenuation situation. The evacuation route analysis module is used to obtain the evacuation route according to the results of the risk assessment of the virus on the route.

[0006] In an implementation manner 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 situation acquisition unit, an environment acquisition unit at the corresponding position, and an evacuation route acquisition unit. Among them, 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 the infected person in the venue, which can be collected through a video tracking module or a positioning module. The personnel behavior acquisition unit is used to obtain the behavior information of the personnel on the movement trajectory, including the stay duration and the data of the behavior actions on the trajectory. At the same time, the data of the behavior actions includes the opening and closing degree of the patient's mouth and the distance from the facilities. The environment acquisition unit at the corresponding position is used to obtain the corresponding environmental data on the patient's path. Among them, the corresponding environmental data includes environmental types such as temperature and humidity that affect the survival of the virus. The evacuation route acquisition unit is used to obtain several evacuation routes set in the venue in case of emergency.

[0007] In an implementation manner of the present invention, the risk assessment of virus transmission through the movement trajectories and personnel behavior data of corresponding infectious disease patients includes the following specific contents: Obtain the movement trajectory of the corresponding infectious disease patient, obtain the stay duration of the corresponding infectious disease patient at each corresponding point on the trajectory and the data information of the behavior actions on the trajectory, and conduct a virus transmission analysis at the corresponding point based on the stay duration at the corresponding point, the frequency of the behavior actions on the trajectory, and the frequency of the opening and closing degree of the mouth. Among them, the virus transmission analysis calculation formula is: , where tm is the safe duration at the corresponding position, T is the stay duration of the infectious disease patient at the corresponding point, dt is the time integral, is the action frequency infection weight, The oral infection weight, V() is the volume of the image, kt is the action image of the infectious disease personnel at time t, and 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, and cm is the safety value of the opening and closing degree. Among them, 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. Subtracting by 1 represents the frequency of change of the behavior actions. The acquisition methods of the action frequency infection weight and the oral infection weight are obtained through experiments.

[0008] In one implementation manner of the present invention, the virus area diffusion analysis based on the virus transmission risk assessment result, environmental data, and the contact situation of nearby facilities includes the following specific steps: Obtain the environmental data and the contact situation of nearby facilities corresponding to each point on the trajectory of the corresponding infectious disease personnel; Conduct environmental transmission difficulty analysis based on the environmental data of the corresponding point. Among them, the environmental transmission difficulty analysis formula is: , where n is the type of environment affecting virus survival, ri is the influence coefficient of the i-th type of environment, xi is the specific value of the i-th type of environment at the corresponding point, and xim is the specific value of the i-th type of environment most suitable for virus survival, which is obtained through experiments; Obtain the position of the corresponding point facility and the anti-virus level data of the facility. Based on the position 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. Among them, the facility transmission difficulty calculation formula is: , where m is the number of facilities, Vj is the volume of the j-th facility, Vc is the total volume of the facilities, Qj is the anti-virus level of the j-th facility, hjt is the distance from the j-th facility to the infectious disease personnel at time t, hc is the distance safety value, and exp() is the power of the natural constant e. For this formula, exp() follows the distance attenuation in epidemiology. By comprehensively considering multiple factors such as facility volume, anti-virus level, and distance from the source of infection, the infectious disease transmission risk of each corresponding point can be more accurately evaluated; Obtain the environmental transmission difficulty analysis results and facility transmission difficulty analysis results for the corresponding points, and perform weighted summation to obtain the transmission difficulty of the corresponding points. Environmental transmission difficulty and facility transmission difficulty are two important aspects affecting the spread of infectious diseases, but their action mechanisms are different. Environmental factors such as air circulation, temperature, and humidity will affect the survival and diffusion of pathogens in the air; while facility factors such as the type of facilities and the layout within the facilities will affect the contact frequency of personnel. By weighted summation, the factors of these two aspects can be combined to more comprehensively reflect the infectious disease transmission risk at this point.

[0009] In one implementation manner of the present invention, the virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data, and contact conditions of nearby facilities further includes the following specific contents: Obtain the virus transmission analysis results for the corresponding points and the transmission difficulty of the corresponding points, and substitute them into the virus regional diffusion analysis value calculation formula to calculate the virus regional diffusion analysis value. Among them, the virus regional diffusion analysis value calculation formula is: , where is the difficulty conversion factor, obtained through experiments, and is used to represent the influence of the diffusion difficulty on the abnormality of virus regional diffusion.

[0010] In one implementation manner of the present invention, the path virus risk assessment based on the path virus regional diffusion analysis results, the situation of evacuated personnel, and the virus attenuation situation includes the following specific contents: Obtain the average speed data of the evacuated personnel 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 points of each evacuation path. At the same time, based on the average speed data of the evacuated personnel in the venue, obtain the time taken for the evacuated personnel to reach the corresponding points of the evacuation path, that is, the time is obtained by dividing the position distance between the corresponding points of the evacuation path and the position of the evacuated personnel in the venue by the average speed data. Add the time taken for the evacuated personnel to reach the corresponding points of the evacuation path to the time from the time when the infectious disease personnel passed through the corresponding points of the evacuation path to the current time to obtain the virus attenuation time. Based on the virus attenuation time and the virus regional diffusion analysis value of each corresponding point on the evacuation path, obtain the path virus risk of the evacuation path. Among them, the path virus risk calculation formula of the evacuation path is: , where Lc is the set standard distance, used to eliminate the distance unit of the integral, L is the length of the evacuation path, Kzl is the virus regional diffusion analysis value at the position l of the evacuation path, Tl is the virus attenuation time at the corresponding point of the position l of the evacuation path, and dl is the distance integral. is the virus attenuation speed, used to quantify the inactivation speed of the virus in vitro, and at the same time is at least 0. If the calculated result is less than 0, the value is set to 0 because the virus risk cannot be negative; Obtain the path virus risk of each planned evacuation path, and select the evacuation path corresponding to the minimum path virus risk as the selected evacuation path to be sent to the corresponding evacuees, and the evacuees evacuate according to the selected evacuation path.

[0011] In an implementation manner of the present invention, the system further includes a virus infection information acquisition unit, which acquires the infection distance and attenuation speed of the virus through corresponding virus infection experiments. Second, the present invention also provides an AI simulation experiment method for the on-site epidemic of respiratory infectious diseases based on environmental assessment, including the following specific steps: Obtain the movement trajectories and personnel behavior data of corresponding infectious disease patients, and at the same time obtain regional facility and environmental data. Conduct a virus transmission risk assessment through the movement trajectories and personnel behavior data of corresponding infectious disease patients. Conduct virus regional spread analysis based on the virus transmission risk assessment results, environmental data, and contact conditions of nearby facilities. Conduct path virus risk assessment based on the results of path virus regional spread analysis, the situation of evacuees, and the virus attenuation situation. Obtain the evacuation path according to the path virus risk assessment results.

[0012] Third, an electronic device provided by the present invention includes: a processor and a memory. Among them, the memory stores a computer program that can be called by the processor, and the processor executes the AI simulation experiment method for the on-site epidemic of respiratory infectious diseases based on environmental assessment by calling the computer program stored in the memory.

[0013] Fourth, a computer-readable storage medium provided by the present invention stores instructions. When the instructions run on a computer, the computer is made to execute the AI simulation experiment method for the on-site epidemic of respiratory infectious diseases based on environmental assessment.

[0014] Compared with the prior art, the present invention has the following advantages and beneficial effects: The present invention conducts a virus transmission risk assessment through the movement trajectories and personnel behavior data of corresponding infectious disease patients, conducts virus regional spread analysis based on the virus transmission risk assessment results, environmental data, and contact conditions of nearby facilities, conducts path virus risk assessment based on the results of path virus regional spread analysis, the situation of evacuees, and the virus attenuation situation, and obtains the evacuation path according to the path virus risk assessment results. Through the path virus risk assessment, it can accurately identify the paths with lower virus transmission risks. During the outbreak of infectious diseases, choosing such paths for personnel evacuation can minimize the contact opportunities between evacuees and the virus, effectively reduce the possibility of infecting infectious diseases, and ensure the life and health safety of the public. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Other features, objects, and advantages of the present invention will become more apparent by reading the following detailed description of non - limiting embodiments with reference to the accompanying drawings: Figure 1 It is a schematic diagram of the overall process of the system embodiment of the present invention; Figure 2 It is a schematic diagram of the process of step three in the method embodiment of the present invention; Figure 3 It is a schematic diagram of the structure of the system embodiment of the present invention; Figure 4 It is a schematic diagram of the structure of the data acquisition module in the system embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] In order to make the above - mentioned objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be made in conjunction with the drawings of the specification.

[0017] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0018] Secondly, the so - called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that can be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is separate or selectively exclusive of other embodiments.

[0019] Embodiment 1 As Figures 1 to 2 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: Step 1: Obtain the movement trajectories and personnel behavior data of corresponding infectious disease patients, and at the same time obtain regional facility and environmental data; Step 2: Conduct a virus transmission risk assessment through the movement trajectories and personnel behavior data of corresponding infectious disease patients; In a specific embodiment, conducting a virus transmission risk assessment through the movement trajectories and personnel behavior data of corresponding infectious disease patients includes the following specific contents: Obtain the movement trajectory of the corresponding infectious disease patients, obtain the residence duration of the corresponding infectious disease patients at each point corresponding to the trajectory and the data information of the behavioral actions on the trajectory, and conduct virus transmission analysis for the corresponding points based on the residence duration at the corresponding points, the frequency of behavioral actions on the trajectory, and the data of the frequency of the opening and closing of the mouth. Among them, the calculation formula for virus transmission analysis is: , where tm is the safe duration at the corresponding position, T is the residence duration of the infectious disease patient at the corresponding point, dt is the time integral, is the action frequency infection weight, is the oral infection weight, V() is the volume of the image, kt is the action image of the infectious disease patient at time t, and k(t - 1) is the action image of the infectious disease patient 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 patient at time t, and cm is the safety value of the opening and closing degree. Among them, represents the similarity between the action image of the infectious disease patient at time t and the action image of the infectious disease patient at time t - 1. Subtracting from 1 represents the frequency of changes in behavioral actions. 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 will release droplets (containing virus particles). Research shows that: normal speaking: about 50 - 5000 droplets are produced per minute, and the quantity is related to the volume and pronunciation intensity. When speaking loudly / frequently: the number of droplets and the transmission distance increase significantly (for example, when shouting, the droplets can spread more than 2 meters). The more times and the longer the time an infected person speaks, the higher the virus load accumulated in the environment and the greater the exposure risk for others. At the same time, the increase in movement frequency increases the contact opportunity: high-frequency movement (such as shopping in a mall, commuting) will expand the contact radius, and the cross probability with others or contaminated surfaces increases. For every 0.5 m / s increase in walking speed, the droplet diffusion distance can be extended by 20% - 30%. Fast movement may accelerate the resuspension of aerosols. Among them, the action frequency infection weight and the oral infection weight are obtained through experiments; Step 3: Conduct virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data, and the contact situation of nearby facilities; In a specific embodiment, conducting virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data, and the contact situation of nearby facilities includes the following specific steps: S31: Obtain the environmental data and the contact situation of nearby facilities of the corresponding infectious disease patients at each point corresponding to the trajectory; S32: Conduct environmental transmission difficulty analysis based on the environmental data of the corresponding points. Among them, the formula for environmental transmission difficulty analysis is: , where n is the type of environment affecting the survival of the virus, ri is the influence coefficient of the i-th type of environment, xi is the specific value of the i-th type of environment at the corresponding point, and xim is the specific value of the i-th type of environment most suitable for the survival of the virus, which is 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 type of environment most suitable for the survival of the virus is taken as the median value of 12 degrees Celsius; S33. Obtain the location of the corresponding point facilities and the anti-virus level data of the facilities. Based on the location of the corresponding point facilities, obtain the real-time distance data of the corresponding point facilities relative to the infectious disease personnel. Based on the distance data of the corresponding point facilities relative to the infectious disease personnel and the anti-virus level data of the facilities, obtain the facility transmission difficulty at the corresponding point. The formula for calculating the facility transmission difficulty is: , where m is the number of facilities, Vj is the volume of the j-th facility, Vc is the total volume of the facilities, Qj is the anti-virus level of the j-th facility, hjt is the distance from the j-th facility to the infectious disease personnel at time t, hc is the distance safety value, that is, the safe infection 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, anti-virus level, and distance from the source of infection, the infectious disease transmission risk of each corresponding point can be more accurately evaluated; S34. Obtain the analysis results of the environmental transmission difficulty and the analysis results of the facility transmission difficulty at the corresponding point, and perform weighted summation to obtain the transmission difficulty at the corresponding point. The environmental transmission difficulty and the facility transmission difficulty are two important aspects affecting the spread of infectious diseases, but their action mechanisms are different. Environmental factors such as air circulation, temperature, and humidity will affect the survival and diffusion of pathogens in the air; while facility factors such as the type of facilities and the layout inside the facilities will affect the contact frequency of personnel. By weighted summation, these two aspects of factors can be combined to more comprehensively reflect the infectious disease transmission risk at this point; S35. Obtain the virus transmission analysis results at the corresponding point and the transmission difficulty at the corresponding point, and substitute them into the virus regional diffusion analysis value calculation formula to calculate the virus regional diffusion analysis value. The formula for calculating the virus regional diffusion analysis value is: , where is the difficulty conversion factor, which is obtained through experiments and is used to represent the influence of the diffusion difficulty on the abnormal virus regional diffusion; Step Four. Conduct a path virus hazard assessment based on the path virus regional diffusion analysis results, the evacuation personnel situation, and the virus attenuation situation; In one specific embodiment, conducting a path virus hazard assessment based on the path virus regional diffusion analysis results, the evacuation personnel situation, and the virus attenuation situation includes the following specific contents: Obtain the average speed data of the evacuees in the venue. At the same time, obtain the trajectory data of each planned evacuation path, and obtain the virus area diffusion analysis value of the corresponding points of each evacuation path. At the same time, based on the average speed data of the evacuees in the venue, obtain the time for the evacuees to reach the corresponding points of the evacuation path, that is, the time is obtained by dividing the distance between the corresponding points of the evacuation path and the position of the evacuees in the venue by the average speed data. The virus decay time is obtained by adding the time for the evacuees to reach the corresponding points of the evacuation path and the time from the time when the infectious person passes through the corresponding points of the evacuation path to the current time. Based on the virus decay time of each corresponding point on the evacuation path and the virus area diffusion analysis value, obtain the path virus risk of the evacuation path. Among them, the calculation formula for the path virus risk of the evacuation path is: , where Lc is the set standard distance used to eliminate the distance unit of the integral, L is the length of the evacuation path, Kzl is the virus area diffusion analysis value at the position l of the evacuation path, Tl is the virus decay time of the corresponding point at the position l of the evacuation path, and dl is the distance integral, is the virus decay speed, which is used to quantify the in vitro inactivation speed of the virus; Obtain the path virus risk of each planned evacuation path, and select the evacuation path corresponding to the minimum path virus risk as the selected evacuation path to be sent to the corresponding evacuees, and the evacuees evacuate according to the selected evacuation path; Step Five: Obtain the evacuation path according to the evaluation result of the path virus risk; In this embodiment, it should be noted that various set parameters in this embodiment are obtained through experiments with historical data. The specific experimental content is: obtain the movement trajectories and personnel behavior data of infectious persons during historical evacuation processes, and at the same time obtain regional facility and environmental data, import them into each step of this embodiment for evacuation path calculation, and at the same time obtain the evacuation path with the minimum infection situation. Import the evacuation path with the actual minimum infection situation and the calculated evacuation path into the fitting software matlab for fitting to output the value of the set parameters that meets the maximum accuracy rate; The specific steps are as follows: Import the sorted historical personnel movement trajectories, personnel behavior data, and regional facility and environmental data into the evacuation path calculation model of this embodiment, calculate the evacuation path 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 transmission situation in the historical data, analyze the actual number of infected people or the infection range under different evacuation paths, screen out the evacuation path with the smallest actual infection situation from all possible evacuation paths, use the corresponding functions 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 shows 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 calculated evacuation path and the evacuation path with the smallest actual infection situation is minimized; It should be noted in this embodiment that this embodiment has the following advantages: By conducting a virus transmission risk assessment on the movement trajectories of infectious disease patients and personnel behavior data, analyzing the regional spread of the virus based on the virus transmission risk assessment results, environmental data, and the contact situation of nearby facilities, conducting a path virus risk assessment based on the results of the path virus regional spread analysis, the situation of evacuated personnel, and the virus attenuation situation, and obtaining the evacuation path according to the path virus risk assessment results. Through the path virus risk assessment, the paths with relatively low virus transmission risks can be accurately identified. During the outbreak of infectious diseases, choosing such paths for personnel evacuation can minimize the contact opportunities between evacuated personnel and the virus, effectively reduce the possibility of contracting infectious diseases, and ensure the life and health safety of the public.

[0020] Embodiment 2 Such as Figure 3 And Figure 4As shown in the figure, this embodiment provides an AI simulation experiment system for the on-site epidemic of respiratory infectious diseases based on environmental assessment, which is implemented based on the AI simulation experiment method for the on-site epidemic of respiratory infectious diseases in Embodiment 1, and includes: a data acquisition module, a personnel behavior analysis module, a diffusion analysis module, an evacuation route risk assessment module, and an evacuation route analysis module. The data acquisition module is used to acquire the movement trajectories and personnel behavior data of corresponding infectious disease patients, and at the same time acquire regional facility and environmental data. The personnel behavior analysis module is used to conduct a risk assessment of virus transmission through the movement trajectories and personnel behavior data of corresponding infectious disease patients. The diffusion analysis module conducts virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data, and contact conditions of nearby facilities. The evacuation route risk assessment module conducts a risk assessment of the virus on the route based on the results of the virus regional diffusion analysis on the route, the situation of evacuated personnel, and the virus attenuation situation. The evacuation route analysis module is used to obtain the evacuation route according to the results of the virus risk assessment on the route; 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, an environmental acquisition unit at the corresponding location, and an evacuation route acquisition unit. Among them, the personnel information acquisition unit is connected to the medical institution management platform to obtain the personnel's infectious disease status in real time. The personnel trajectory acquisition unit is used to obtain the movement trajectory of the infected person in the venue. This situation can be collected through a video tracking module or a positioning module. The collected information is for the prevention and control of infectious diseases for public safety, and does not collect privacy information such as the names and ages of personnel. Moreover, the collected information is stored in the corresponding storage module and will not be publicly announced. Therefore, it does not involve any behavior of infringing on privacy. The personnel behavior acquisition unit is used to obtain the behavior information of personnel on the movement trajectory, including the stay duration and the data of the behavior actions on the trajectory. At the same time, among them, the data of the behavior actions includes the opening and closing degree of the patient's mouth and the distance from the facilities, which can be obtained by simple conventional image technology. Therefore, the image acquisition process will not be elaborated in detail here. The facility situation acquisition unit is used to obtain the antiviral level data of the facilities. The antiviral level here can be classified according to the materials corresponding to the facilities, and can be the proportion of the antiviral materials on the surface of the facilities in all materials. The antiviral materials, such as copper alloy, can inactivate 99.9% of the coronavirus is used to analyze the antiviral ability of the facility. The virus carried by the patient contaminates the facility, resulting in virus transmission on the facility. The corresponding environmental acquisition unit at the corresponding position is used to obtain the corresponding environmental situation data on the patient's path. Among them, the corresponding environmental situation data includes environmental types that affect virus survival, such as temperature, humidity, etc. The system also includes a virus transmission information acquisition unit, which obtains the transmission distance and attenuation speed of the virus through corresponding virus transmission experiments. Among them, exemplarily, the virus attenuation speed is obtained through experiments. The specific experimental method is as follows: Dilute the cultured virus appropriately to prepare a virus suspension with a certain titer as the initial sample. According to the experimental purpose, select a suitable carrier to carry the virus, such as the surface of glass, plastic, metal, etc., or simulate air aerosol, liquid medium, etc. Set experimental groups and control groups according to different influencing factors (such as temperature, humidity, light, different material surfaces, etc.). For example, set different temperature groups (such as 4°C, 25°C, 37°C) to study the influence of temperature on virus attenuation. Environmental control: Use environmental simulation equipment to place the experimental group under the set environmental conditions and the control group under standard environmental conditions (such as 25°C, relative humidity 50%). Use a pipette to suck a certain amount of virus suspension and evenly drop it on the selected carrier surface. For aerosol experiments, use an aerosol generator to atomize the virus suspension and release it into the simulation chamber. Record the start time of the experiment from the virus inoculation on the carrier or release into the environment. According to the characteristics of the virus and experimental experience, set different sampling time points. For example, sample at time points such as 0.5 hour, 1 hour, 2 hours, 4 hours, 8 hours, 12 hours, 24 hours after inoculation. Wipe the surface inoculated with the virus with a sampling swab, put the swab into a centrifuge tube containing virus transport medium, extract the virus nucleic acid in the sample, and perform real-time fluorescence quantitative PCR reaction using specific primers and probes. Calculate the copy number of virus nucleic acid in the sample through the standard curve. Accurately record the virus detection results (such as virus nucleic acid copy number, virus titer, etc.) at each time point, for each experimental group and control group. Use time as the abscissa and the logarithm of the virus titer or nucleic acid copy number as the ordinate to draw the virus attenuation curve. Through the curve, the attenuation trend of the virus over time under different conditions can be visually observed. Half-life calculation: Determine the time required for the virus titer or nucleic acid copy number to decrease to half of the initial value through the curve, that is, the half-life, to measure the attenuation speed of the virus. The evacuation path acquisition unit is used to obtain several evacuation paths set in the venue in case of an emergency, such as escape routes, etc. This is the rule setting of the venue. The specific steps of each module in the embodiment of this system are the same as the specific steps in the method embodiment of Embodiment 1 and will not be repeated here.

[0021] Example 3 An electronic device according to an embodiment of the present invention includes: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory, and the processor executes an AI simulation experiment method for on-site epidemic 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 experiment method for on-site epidemic of respiratory infectious diseases are implemented using the C language.

[0022] Embodiment 4 This embodiment provides a computer-readable storage medium, on which a rewritable computer program is stored; When the computer program runs on a computer device, it causes the computer device to execute the above-mentioned AI simulation experiment method for on-site epidemic of respiratory infectious diseases based on environmental assessment.

[0023] The above embodiments can be implemented in whole or in part by 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. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted 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. The computer-readable storage medium can be any available medium that the computer can access, or a data storage device such as a server or data center that includes one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, or magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0024] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present invention can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different systems for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0025] Those skilled in the art can 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 foregoing system embodiments and will not be elaborated herein.

[0026] In 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 way, and in actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of devices or units can be in electrical, mechanical, or other forms.

[0027] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0028] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0029] In the description of this specification, the descriptions referring to terms such as "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0030] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. An on-site epidemic AI simulation experiment system for respiratory infectious diseases based on environmental assessment, characterized in that, It includes a data acquisition module, a personnel behavior analysis module, a diffusion analysis module, an evacuation route risk assessment module, and an evacuation route analysis module. The data acquisition module is used to acquire the movement trajectories and personnel behavior data of corresponding infectious disease patients, and at the same time acquire regional facility and environmental data. The personnel behavior analysis module is used to conduct a virus transmission risk assessment through the movement trajectories and personnel behavior data of corresponding infectious disease patients. The diffusion analysis module conducts a virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data, and the contact conditions of nearby facilities. The evacuation route risk assessment module conducts a route virus risk assessment based on the results of the route virus regional diffusion analysis, the situation of evacuating personnel, and the virus attenuation situation. The evacuation route analysis module is used to obtain evacuation routes according to the results of the route virus risk assessment.

2. The on-site epidemic AI simulation experiment system for respiratory infectious diseases based on environmental assessment according to claim 1, wherein, 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, an environmental acquisition unit at the corresponding location, and an evacuation route acquisition unit. Among them, the personnel information acquisition unit is connected to the medical institution management platform to acquire the infectious disease status of personnel in real time. The personnel trajectory acquisition unit is used to acquire the movement trajectory of infected personnel in the venue. The facility situation acquisition unit is used to acquire the anti-virus level data of facilities. The environmental acquisition unit at the corresponding location is used to acquire the corresponding environmental data on the patient's path. The evacuation route acquisition unit is used to acquire several evacuation routes set in the venue in case of emergency.

3. The on-site epidemic AI simulation experiment system for respiratory infectious diseases based on environmental assessment according to claim 1, characterized in that, The virus transmission risk assessment through the movement trajectories and personnel behavior data of corresponding infectious disease patients includes the following specific contents: Obtain the movement trajectory of the corresponding infectious disease patients, obtain the residence duration of the corresponding infectious disease patients at each point corresponding to the trajectory and the data information of the behavior actions on the trajectory, and conduct virus transmission analysis for the corresponding points based on the residence duration at the corresponding points, the frequency of behavior actions on the trajectory, and the frequency data of the opening and closing degree of the oral cavity. Among them, the virus transmission analysis calculation formula is: , where tm is the safe duration at the corresponding position, T is the residence duration of the infectious disease patient at the corresponding point, dt is the time integral, is the action frequency infection weight, is the oral infection weight, V() is the volume of the image, kt is the action image of the infectious disease patient at time t, k(t - 1) is the action image of the infectious disease patient 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 patient at time t, and cm is the safe value of the opening and closing degree.

4. The on-site epidemic AI simulation experiment system for respiratory infectious diseases based on environmental assessment according to claim 3, wherein The virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data, and the contact conditions of nearby facilities includes the following specific steps: Acquire the environmental data and the contact conditions of nearby facilities at each corresponding point on the trajectory of the corresponding infectious disease patient; Analyze the environmental transmission difficulty based on the environmental data of corresponding points. The environmental transmission difficulty analysis formula is as follows: , where n is the type of environment affecting virus survival, ri is the influence coefficient of the i-th type of environment, xi is the specific value of the i-th type of environment at the corresponding point, and xim is the specific value of the i-th type of environment most suitable for virus survival; Acquire the location of the corresponding facility and the anti-virus level data of the facility, acquire the real-time distance data of the corresponding facility relative to the infectious disease patient based on the location of the corresponding facility, and acquire the transmission difficulty of the corresponding point based on the distance data of the corresponding facility relative to the infectious disease patient and the anti-virus level data of the facility; Acquire the environmental transmission difficulty analysis result and the facility transmission difficulty analysis result of the corresponding point, and perform weighted summation to obtain the transmission 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, characterized in that, The virus regional diffusion analysis based on the virus transmission risk assessment results, environmental data, and the contact conditions of nearby facilities also includes the following specific contents: Obtain the virus transmission analysis result of the corresponding point and the transmission difficulty of the corresponding point, and substitute them into the virus area diffusion analysis value calculation formula to calculate the virus area diffusion analysis value. Among them, the virus area diffusion analysis value calculation formula is: , where is the difficulty conversion factor.

6. The on-site epidemic AI simulation experiment system for respiratory infectious diseases based on environmental assessment according to claim 5, characterized in that, The route virus risk assessment based on the results of the route virus regional diffusion analysis, the situation of evacuating personnel, and the 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 area diffusion analysis value of the corresponding points of each evacuation path, and at the same time obtain the duration for the evacuees to reach the corresponding points of the evacuation path based on the average speed data of the evacuees in the venue. The virus attenuation duration is obtained by adding the duration for the evacuees to reach the corresponding points of the evacuation path and the duration from the time when the infectious person passed the corresponding points of the evacuation path to the current time. Based on the virus attenuation duration and the virus area diffusion analysis value of each corresponding point on the evacuation path, obtain the path virus risk of the evacuation path; 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, and the evacuees evacuate according to the selected evacuation path.

7. The on-site epidemic AI simulation experiment system for respiratory infectious diseases based on environmental assessment according to claim 6, wherein The formula for calculating the path virus risk of the evacuation path is as follows: , where Lc is the set standard distance, L is the length of the evacuation path, Kzl is the virus area diffusion analysis value at the position l of the evacuation path, Tl is the virus attenuation duration at the corresponding point at the position l of the evacuation path, dl is the distance integral, is the virus attenuation speed.

8. The on-site epidemic AI simulation experiment system for respiratory infectious diseases based on environmental assessment according to claim 4, characterized in that, The formula for calculating the difficulty of facility transmission is as follows: , where m is the number of facilities, Vj is the volume of the j-th facility, Vc is the total volume of the facilities, Qj is the anti-virus level of the j-th facility, hjt is the distance from the j-th facility to the infectious person 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, wherein The data acquisition module further includes a virus infection information acquisition unit for acquiring the infection distance and attenuation speed of the virus.

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