Infection prevention and control method and device, computer equipment and storage medium

Abstract

The invention discloses an infection prevention and control method. The method comprises the following steps that the space ventilation quantity and the space number of people of a building are obtained; the infection probability is calculated according to the space ventilation quantity and the space number of people; and controlling the space ventilation quantity and / or the space number of people according to the infection probability, so that the infection probability is smaller than a preset prevention and control threshold value. According to the infection prevention and control method, the space ventilation quantity and the space number of people are monitored in real time, and the infection probability is calculated through the space ventilation quantity and the space number of people, so that ventilation and people flow control measures can be dynamically adjusted, and the infection risk is more effectively reduced.

Description

Technical Field

[0001] The present invention relates to the field of health prevention and control technology, and in particular to an infection prevention and control method, device, computer equipment and storage medium. Background Art

[0002] Hospitals are core facilities for protecting people's health and have high-quality indoor environmental requirements. In order to reduce the risk of airborne transmission of nosocomial infectious diseases and meet higher indoor environmental quality requirements, hospital buildings usually rely on mechanical ventilation equipment to increase ventilation volume in the hospital, so as to reduce the risk of airborne transmission of nosocomial infectious diseases.

[0003] For example, the invention patent with patent authorization announcement number: CN119022382A discloses an intelligent adjustable natural ventilation system, which dynamically adjusts the ventilation threshold by predicting outdoor environmental status data, and uses the ARIMA model to predict future environmental changes, and adjusts the threshold accordingly to adapt to the changes. The system monitors indoor and outdoor environmental conditions in real time, compares outdoor and indoor air quality, humidity and temperature, and intelligently adjusts the operating intensity of ventilation equipment. When the outdoor environment is better than the indoor environment, the system automatically turns on and adjusts the ventilation volume; otherwise, it turns off the ventilation or issues a warning.

[0004] Based on the search of the above patent authorization announcement number and the shortcomings found therein:

[0005] Existing methods rely on the comparison of indoor and outdoor air quality, humidity, temperature and other parameters to control the operation of ventilation equipment in order to improve the energy efficiency of ventilation equipment, but lack comprehensive consideration of infection prevention. Summary of the invention

[0006] The purpose of the present invention is to overcome the shortcomings of the prior art and provide an infection prevention and control method, device, computer equipment and storage medium to solve the technical problem that the existing method relies on the comparison of indoor and outdoor air quality, humidity, temperature and other parameters to control the operation of ventilation equipment to achieve the purpose of improving the energy efficiency of ventilation equipment, but lacks comprehensive consideration of infection prevention.

[0007] To achieve the above object, the present invention adopts the following technical solutions:

[0008] In a first aspect, this embodiment provides an infection prevention and control method, comprising the following steps:

[0009] Obtain the space ventilation volume and space occupancy of the building;

[0010] Calculate the infection probability based on the ventilation volume of the space and the number of people in the space;

[0011] The ventilation volume of the space and / or the number of people in the space are controlled according to the infection probability so that the infection probability is less than a preset prevention and control threshold.

[0012] Wherein, obtaining the space ventilation volume includes:

[0013] Acquire environmental physical parameters measured by multiple sensors disposed at various points inside the building and multiple sensors disposed at various points outside the building; wherein the environmental physical parameters include at least one of wind speed, CO2 concentration, and temperature;

[0014] The environmental physical parameters are input into a space ventilation volume prediction model to obtain the space ventilation volume predicted by the space ventilation volume prediction model.

[0015] Wherein, the infection prevention and control method further comprises:

[0016] Establish a simulated physical model of the building;

[0017] Inputting environmental climate data of different seasons throughout the year into the simulation physical model to simulate natural ventilation in different areas of the building; wherein the environmental climate data includes at least one of wind speed, CO2 concentration, and temperature;

[0018] Construct a dataset of natural ventilation simulation results for different regions under environmental climate data in different seasons throughout the year to form a natural ventilation volume distribution database;

[0019] The data in the natural ventilation volume distribution database is preprocessed, and the preprocessed data is used to train the machine learning algorithm to obtain the space ventilation volume prediction model.

[0020] The method of preprocessing the data in the natural ventilation volume distribution database and using the preprocessed data to train the machine learning algorithm to obtain the space ventilation volume prediction model includes:

[0021] Clean and normalize the environmental climate data of different seasons throughout the year and the corresponding natural ventilation data of different areas in the building recorded in the database;

[0022] The preprocessed data is used to perform partition training on the machine learning algorithm to obtain a spatial ventilation volume prediction model for different areas.

[0023] Wherein, obtaining the number of people in the space includes:

[0024] Obtain image data or video data collected by the camera;

[0025] Inputting the image data or video data into a people counting model;

[0026] The number of people in the space is calculated using the number calculation model.

[0027] The infection probability is calculated according to the ventilation volume of the space and the number of people in the space, including:

[0028] Obtain an infection probability calculation formula, and calculate the infection probability according to the infection probability calculation formula, the ventilation volume of the space, and the number of people in the space; wherein,

[0029] The infection probability calculation formula is as follows:

[0030]

[0031] in,

[0032] Among them, k is the incidence rate, I is the number of people in the space, p is the exhaled volume per minute of the space occupants, q is the amount of virus produced by an infected person, n(0) is the initial concentration of virus particles in the space, t is the exposure time of the space occupants, Q is the space ventilation volume, V is the space volume, C1 is the virus sedimentation rate, and C2 is the virus inactivation rate.

[0033] Wherein, controlling the ventilation volume of the space and / or the number of people in the space according to the infection probability so that the infection probability is less than a preset prevention and control threshold comprises the following steps:

[0034] When the infection probability is greater than a preset prevention and control threshold, a prompt is given to increase the ventilation volume of the space or to implement measures to increase the ventilation volume of the space, and / or a prompt is given to reduce the number of people in the space or to implement measures to reduce the number of people in the space.

[0035] In a second aspect, this embodiment provides an infection prevention and control device, including:

[0036] Acquisition unit, used to obtain the space ventilation volume and space occupancy of the building;

[0037] A calculation unit, used to calculate the infection probability according to the ventilation volume of the space and the number of people in the space;

[0038] A control unit is used to control the ventilation volume of the space and / or the number of people in the space according to the infection probability so that the infection probability is less than a preset prevention and control threshold.

[0039] In a third aspect, this embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the infection prevention and control method as described above when executing the computer program.

[0040] In a fourth aspect, this embodiment provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the infection prevention and control method as described above can be implemented.

[0041] The infection prevention and control method of the present invention monitors the space ventilation volume and the number of people in the space in real time, calculates the infection probability through the space ventilation volume and the number of people in the space, and thus can dynamically adjust the ventilation and crowd control measures to more effectively reduce the infection risk.

[0042] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the following preferred embodiments are specifically cited and described in detail as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A schematic diagram of the infection prevention and control method provided for this application;

[0044] Figure 2 A schematic diagram of the first sub-process of the infection prevention and control method provided in this application;

[0045] Figure 3 A schematic diagram of the second sub-process of the infection prevention and control method provided in this application;

[0046] Figure 4 A schematic diagram of the third sub-process of the infection prevention and control method provided in this application;

[0047] Figure 5 A schematic diagram of the fourth sub-process of the infection prevention and control method provided in this application;

[0048] Figure 6 A schematic diagram of the fifth sub-process of the infection prevention and control method provided in this application;

[0049] Figure 7 A schematic diagram of an infection prevention and control device provided in an embodiment of the present application;

[0050] Figure 8 A schematic block diagram of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0053] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “resin”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “clockwise”, “counterclockwise”, etc., indicating orientations or positional relationships are orientations or positional relationships based on the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0054] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0055] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be connected, detachably connected, or integrated; it can be mechanically connected or electrically connected; it can be directly connected or indirectly connected through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0056] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly below and obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0057] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms should not be understood as necessarily referring to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0058] See also Figure 1 , Figure 1 This is a flow chart of the infection prevention and control method provided in this application. The embodiment of the present invention provides an infection prevention and control method, including the following steps S100-S300:

[0059] S100. Obtain the space ventilation volume and number of people in the building.

[0060] It is understandable that the amount of space ventilation is directly related to the speed of indoor air renewal and the degree of pathogen dilution. Good ventilation can quickly reduce the concentration of indoor pathogens and reduce the risk of infection. The number of people in a space determines the number of potential sources of infection and the density of people in the room. In a crowded environment, the risk of pathogen transmission increases significantly.

[0061] In some embodiments, the space ventilation volume data can be obtained based on sensors installed in the building. In some embodiments, the space population data can be obtained based on cameras installed in the building.

[0062] In some embodiments, the infection prevention and control method of the present application is applied to hospital building facilities to prevent and control infection in hospital building spaces. In some embodiments, the infection prevention and control method of the present application can also be applied to other building facilities.

[0063] In some embodiments, Figure 2 As shown, Figure 2 This is a schematic diagram of the first sub-process of the infection prevention and control method provided in this application, wherein step S100 includes S110-S120:

[0064] S110. Obtain environmental physical parameters measured by multiple sensors installed at various points inside the building and multiple sensors installed at various points outside the building; wherein the environmental physical parameters include at least one of wind speed, CO2 concentration, and temperature.

[0065] It should be explained that the setting points of the sensors only need to be able to fully collect the environmental physical parameters inside and outside the building, and there are no special restrictions.

[0066] In some embodiments, the setting points of the sensors include various ventilation openings of the building facility, and rooms and / or corridors inside and outside the building facility.

[0067] S120. Input the environmental physical parameters into a space ventilation volume prediction model to obtain the space ventilation volume predicted by the space ventilation volume prediction model.

[0068] It is understandable that the traditional method of obtaining ventilation volume data relies on widely arranging sensors inside the building to directly measure and calculate the ventilation volume, which not only increases the cost, but may also be limited by the number, accuracy and layout of sensors. In order to overcome these limitations, this application develops a space ventilation volume prediction model that can use less sensor data, combined with the physical characteristics and environmental factors of the building, to accurately predict the ventilation volume. It should be explained that the sensors traditionally set in the building are used to directly monitor the ventilation volume data at the point. After the space ventilation volume prediction model is established, the sensors set in the building are used to provide environmental physical parameters for the prediction operation of the space ventilation volume prediction model and to verify the prediction results of the space ventilation volume prediction model. Thus, the space ventilation volume prediction model can reduce the number and density of sensor settings while obtaining more accurate and reliable ventilation volume data.

[0069] In some embodiments, Figure 3 As shown, Figure 3 This is a schematic diagram of a second sub-process of the infection prevention and control method provided in this application, wherein step S120 includes S121-S124:

[0070] S121. Establish a simulated physical model of the building.

[0071] In some embodiments, the simulation physical model can be established by using professional simulation software (such as CFD software) to establish a three-dimensional simulation physical model based on parameters such as the actual structure, size, and material properties of the building.

[0072] S122. Inputting environmental climate data of different seasons throughout the year into the simulation physical model to simulate natural ventilation in different areas of the building; wherein the environmental climate data includes at least one of wind speed, CO2 concentration, and temperature.

[0073] Understandably, natural ventilation is the most economical way to prevent and control infection. The World Health Organization (WHO) recommends that natural ventilation be used as much as possible before considering other ventilation systems when climatic conditions, building structure or outdoor air quality permit. However, the effectiveness of natural ventilation is affected by many factors, such as building layout, external environmental conditions (wind speed, temperature, humidity, pollutant concentration, etc.) and the design of building openings (windows, doors, etc.). In order to accurately predict and evaluate the natural ventilation performance of buildings under different design conditions, natural ventilation simulation is performed through simulation physical models, which can accurately predict the natural ventilation volume of different areas of the building in different seasons and different environmental conditions, and can provide data support for the intelligent management system of the building, realize intelligent adjustment and optimization of the ventilation system, and improve management efficiency and comfort.

[0074] S123. Construct a natural ventilation simulation result data set for different regions under environmental climate data in different seasons throughout the year to form a natural ventilation volume distribution database.

[0075] It can be understood that the natural ventilation volume distribution database collects detailed data on the natural ventilation volume of different areas of the target building in different seasons and different environmental climate data. Each record in the natural ventilation volume distribution database corresponds to a specific combination of environmental climate data and the natural ventilation volume of one or some areas in the building, which can accurately reflect the natural ventilation performance of the target building under different environmental climate data.

[0076] S124. Preprocess the data in the natural ventilation volume distribution database, and use the preprocessed data to train the machine learning algorithm to obtain a space ventilation volume prediction model.

[0077] In some embodiments, a machine learning algorithm can be selected based on actual conditions. The present application may choose to use a regression algorithm (such as linear regression, decision tree regression, random forest regression, gradient boosting regression, etc.) or a neural network (such as a multilayer perceptron, convolutional neural network, etc.).

[0078] It is understandable that the data in the natural ventilation volume distribution database may contain noise, missing values ​​or outliers. If these data are not preprocessed, they may affect the training effect and prediction accuracy of the machine learning model. The preprocessing step is to improve the data quality and ensure that the model can learn effective features. Through the preprocessing step, the performance of the machine learning model can be optimized so that it can more accurately predict the space ventilation volume.

[0079] In some embodiments, Figure 4 As shown, Figure 4 This is a schematic diagram of the third sub-process of the infection prevention and control method provided in this application, where step S124 includes S1241-S1242:

[0080] S1241. Clean and normalize the environmental climate data of different seasons throughout the year and the corresponding natural ventilation volume data of different areas in the building recorded in the database.

[0081] It is understandable that data cleaning can identify and correct errors and outliers in the data to ensure the accuracy and completeness of the data. Normalization can make different features comparable in value, so that data from different seasons and regions have a unified scale, which is convenient for cross-season and cross-region comparison and analysis, making it easier for the algorithm to converge during the training process, reducing training time and computing costs.

[0082] S1242. Use the preprocessed data to perform partition training on the machine learning algorithm to obtain a spatial ventilation volume prediction model for different areas.

[0083] It is understandable that due to differences in geographical location, climatic conditions, building layout and other factors, the space ventilation volume in different regions will also be different. Through partition training, this application can establish a special prediction model for the characteristics of each region, thereby improving the accuracy and applicability of the prediction. In addition, partition training can reduce the overfitting phenomenon of the model between different regions, so that the model can better adapt to the characteristics of each region, thereby improving the generalization ability of the model.

[0084] In some embodiments, Figure 5 As shown, Figure 5 This is a schematic diagram of the fourth sub-process of the infection prevention and control method provided in this application, wherein step S100 includes steps S130-S150:

[0085] S130: Acquire image data or video data collected by a camera.

[0086] It is understandable that the camera arrangement area only needs to cover the area that needs to be controlled. In some embodiments, the camera coverage area includes the entire scene of the building facility.

[0087] S140: Input the image data or video data into a crowd calculation model.

[0088] S150, obtaining the number of people in the space by using the number calculation model.

[0089] In some embodiments, the crowd counting model uses the YOLOv5 (You Only Look Once version5) algorithm to detect and count pedestrian traffic in real time. Specifically, the crowd counting model can be used for target detection: pedestrian targets are captured from surveillance videos in real time, and a detection box and confidence are output. The detection box is used to mark the position of the pedestrian, and the confidence indicates the reliability of the detection result. The crowd counting model can also be used for tracking and counting: in continuous video frames, the detected pedestrian targets are tracked to avoid repeated counting. At the same time, by accumulating the number of pedestrians in different time periods, real-time statistics of pedestrian traffic are achieved.

[0090] S200. Calculate the infection probability based on the ventilation volume of the space and the number of people in the space.

[0091] In some embodiments, the step S200 includes: obtaining an infection probability calculation formula, and calculating the infection probability according to the infection probability calculation formula, the ventilation volume of the space, and the number of people in the space; wherein the infection probability calculation formula is as follows:

[0092]

[0093] in,

[0094] Among them, k is the incidence rate, I is the number of people in the space, p is the exhaled volume per minute of the space occupants, q is the amount of virus produced by an infected person, n(0) is the initial concentration of virus particles in the space, t is the exposure time of the space occupants, Q is the space ventilation volume, V is the space volume, C1 is the virus sedimentation rate, and C2 is the virus inactivation rate.

[0095] It should be explained that k is the incidence rate, which can be obtained from the data released by the National Health Commission. For example, in 2017, there were 456,718 influenza cases in China, with an incidence rate of 33.0994‰. p is the exhaled volume per minute of the space occupants. Generally, p is 6-9m 3 / min. n(0) is the initial concentration of virus particles in the space, which can be measured by the detection device. C1 is the virus sedimentation rate, which is generally 0.24%. C2 is the virus inactivation rate, which is generally 0.63% for influenza.

[0096] S300. Control the ventilation volume of the space and / or the number of people in the space according to the infection probability, so that the infection probability is less than a preset prevention and control threshold.

[0097] It is understandable that by controlling the ventilation volume and the number of people in the space, the spread of diseases in the air can be effectively reduced, the probability of infection can be reduced, and people's health can be protected. It is understandable that the preset prevention and control threshold can be set according to actual conditions, for example, it can be 5%, 3%, or 10%, which is not limited here.

[0098] In some embodiments, Figure 6 As shown, Figure 6 This is a schematic diagram of a fifth sub-process of the infection prevention and control method provided in this application, wherein step S300 includes step S310:

[0099] S310. When the infection probability is greater than a preset prevention and control threshold, a prompt is given to increase the ventilation volume of the space or measures to increase the ventilation volume of the space are taken, and / or a prompt is given to reduce the number of people in the space or measures to reduce the number of people in the space are taken.

[0100] In some embodiments, a ventilation signal may be sent to prompt the staff to open the vents in the corresponding area to increase the ventilation volume of the space. It is understandable that this embodiment can utilize natural ventilation by opening the vents in the corresponding area, which is conducive to healthy and low-carbon development.

[0101] In some embodiments, ventilation equipment installed in the building can be controlled to start or increase its working power to increase the ventilation volume of the space.

[0102] In some embodiments, a flow-limiting signal may be sent to prompt staff to limit the flow of people into the space, thereby reducing the number of people in the corresponding area.

[0103] In some embodiments, a flow limiting device installed in the building can be controlled to start up so as to reduce the number of people in the corresponding area. It should be explained that the flow limiting device should limit the entry of people into the infection prevention and control area, and can be a one-way gate or other flow limiting device.

[0104] See also Figure 7 , Figure 7 A schematic diagram of an infection prevention and control device 400 provided in an embodiment of the present application, wherein the infection prevention and control device 400 includes: an acquisition unit 401, a calculation unit 402, and a control unit 403.

[0105] An acquisition unit 401 is used to acquire the ventilation volume of the space and the number of people in the space;

[0106] A calculation unit 402 is used to calculate the infection probability according to the ventilation volume of the space and the number of people in the space;

[0107] The control unit 403 is used to control the ventilation volume of the space and / or the number of people in the space according to the infection probability so that the infection probability is less than a preset prevention and control threshold.

[0108] It should be noted that those skilled in the art can clearly understand that the specific implementation process of the above-mentioned device and each unit can refer to the corresponding description in the aforementioned method embodiment, and for the convenience and brevity of description, it will not be repeated here.

[0109] The above-mentioned infection prevention and control device can be implemented in the form of a computer program, which can be used in Figure 8 Runs on the computer device shown.

[0110] See also Figure 8 The computer device 500 includes a processor 502 , a memory and a network interface 505 connected via a system bus 501 , wherein the memory may include a non-volatile storage medium 503 and an internal memory 504 .

[0111] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions, which, when executed, can cause the processor 502 to execute an infection prevention and control method: obtaining a space ventilation volume and a space population; calculating an infection probability based on the space ventilation volume and the space population; and controlling the space ventilation volume and / or the space population based on the infection probability so that the infection probability is less than a preset prevention and control threshold.

[0112] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500 .

[0113] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute an infection prevention and control method.

[0114] The network interface 505 is used to communicate with other devices over the network. Figure 8 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device 500 to which the solution of the present application is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0115] The processor 502 is used to run the computer program 5032 stored in the memory to implement the following steps S100 to S300:

[0116] S100, obtain the ventilation volume and number of people in the space;

[0117] S200, calculating the infection probability according to the ventilation volume of the space and the number of people in the space;

[0118] S300. Control the ventilation volume of the space and / or the number of people in the space according to the infection probability, so that the infection probability is less than a preset prevention and control threshold.

[0119] It should be understood that in the embodiment of the present application, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0120] It can be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiment can be completed by instructing the relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiment of the above method.

[0121] Therefore, the present invention also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions, and the program instructions, when executed by a processor, can implement the above-mentioned infection prevention and control method. The storage medium stores a computer program, wherein the computer program includes program instructions, and the program instructions, when executed by a processor, can implement the above-mentioned method. The program instructions include the following steps:

[0122] S100, obtain the ventilation volume and number of people in the space;

[0123] S200, calculating the infection probability according to the ventilation volume of the space and the number of people in the space;

[0124] S300. Control the ventilation volume of the space and / or the number of people in the space according to the infection probability, so that the infection probability is less than a preset prevention and control threshold.

[0125] The storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk, etc., which are computer-readable storage media that can store program codes.

[0126] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0127] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of each unit is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0128] The steps in the method of the embodiment of the present invention can be adjusted in order, combined and deleted according to actual needs. The units in the device of the embodiment of the present invention can be combined, divided and deleted according to actual needs. In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0129] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, terminal, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention.

[0130] The above examples are only used to further illustrate the technical content of the present invention, so that readers can understand it more easily, but they do not mean that the implementation of the present invention is limited to this. Any technical extension or re-creation made according to the present invention is protected by the present invention. The protection scope of the present invention shall be subject to the claims.

Claims

1. An infection prevention and control method, characterized in that: include: Obtain the space ventilation volume and space occupancy of the building; Calculate the infection probability based on the ventilation volume of the space and the number of people in the space; The ventilation volume of the space and / or the number of people in the space are controlled according to the infection probability so that the infection probability is less than a preset prevention and control threshold.

2. An infection prevention and control method according to claim 1, characterized in that: The obtaining of space ventilation volume comprises: Acquire environmental physical parameters measured by multiple sensors disposed at various points inside the building and multiple sensors disposed at various points outside the building; wherein the environmental physical parameters include at least one of wind speed, CO2 concentration, and temperature; The environmental physical parameters are input into a space ventilation volume prediction model to obtain the space ventilation volume predicted by the space ventilation volume prediction model.

3. An infection prevention and control method according to claim 2, characterized in that: The infection prevention and control method also includes: Establish a simulated physical model of the building; Inputting environmental climate data of different seasons throughout the year into the simulation physical model to simulate natural ventilation in different areas of the building; wherein the environmental climate data includes at least one of wind speed, CO2 concentration, and temperature; Construct a dataset of natural ventilation simulation results for different regions under environmental climate data in different seasons throughout the year to form a natural ventilation volume distribution database; The data in the natural ventilation volume distribution database is preprocessed, and the preprocessed data is used to train the machine learning algorithm to obtain the space ventilation volume prediction model.

4. An infection prevention and control method according to claim 3, characterized in that: The data in the natural ventilation volume distribution database is preprocessed, and the preprocessed data is used to train the machine learning algorithm to obtain a space ventilation volume prediction model, including: Clean and normalize the environmental climate data of different seasons throughout the year and the corresponding natural ventilation data of different areas in the building recorded in the database; The preprocessed data is used to perform partition training on the machine learning algorithm to obtain a spatial ventilation volume prediction model for different areas.

5. The infection prevention and control method according to claim 1, characterized in that: The obtaining of the number of people in the space includes: Obtain image data or video data collected by the camera; Inputting the image data or video data into a people counting model; The number of people in the space is calculated using the number calculation model.

6. An infection prevention and control method according to claim 1, characterized in that: The infection probability is calculated according to the ventilation volume of the space and the number of people in the space, including: Obtain an infection probability calculation formula, and calculate the infection probability according to the infection probability calculation formula, the ventilation volume of the space, and the number of people in the space; wherein, The infection probability calculation formula is as follows: in Among them, k is the incidence rate, I is the number of people in the space, p is the exhaled volume per minute of the space occupants, q is the amount of virus produced by an infected person, n(0) is the initial concentration of virus particles in the space, t is the exposure time of the space occupants, Q is the space ventilation volume, V is the space volume, C1 is the virus sedimentation rate, and C2 is the virus inactivation rate.

7. An infection prevention and control method according to claim 1, characterized in that: The step of controlling the ventilation volume of the space and / or the number of people in the space according to the infection probability so that the infection probability is less than a preset prevention and control threshold comprises the following steps: When the infection probability is greater than a preset prevention and control threshold, a prompt is given to increase the ventilation volume of the space or to implement measures to increase the ventilation volume of the space, and / or a prompt is given to reduce the number of people in the space or to implement measures to reduce the number of people in the space.

8. An infection prevention and control device, characterized in that: include: Acquisition unit, used to obtain space ventilation volume and number of people in the space; A calculation unit, used to calculate the infection probability according to the ventilation volume of the space and the number of people in the space; A control unit is used to control the ventilation volume of the space and / or the number of people in the space according to the infection probability so that the infection probability is less than a preset prevention and control threshold.

9. A computer device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the infection prevention and control method according to any one of claims 1 to 7 is implemented.

10. A storage medium, characterized in that: The storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor, the infection prevention and control method according to any one of claims 1 to 7 can be implemented.

Images