CN117079711B

CN117079711B - Biological aerosol diffusion simulation method and device, storage medium and electronic equipment

Info

Publication number: CN117079711B
Application number: CN202311337069.9A
Authority: CN
Inventors: 陈焕盛; 王哲; 杨文夷; 葛宝珠; 王文丁; 金鑫; 肖林鸿; 王自发
Original assignee: Institute of Atmospheric Physics of CAS
Current assignee: Institute of Atmospheric Physics of CAS
Priority date: 2023-10-17
Filing date: 2023-10-17
Publication date: 2024-01-23
Anticipated expiration: 2043-10-17
Also published as: CN117079711A

Abstract

The invention provides a biological aerosol diffusion simulation method, a device, a storage medium and electronic equipment, wherein the method comprises the following steps: determining biological diffusion data to be attenuated of each of the M biological aerosols based on the meteorological data; respectively carrying out concentration attenuation on the active concentration to be attenuated in the biological diffusion data to be attenuated of the corresponding biological aerosols based on the biological activity influence parameter groups corresponding to the biological aerosols, so as to obtain attenuated biological diffusion data of the biological aerosols; a corresponding updated set of bioactivity influence parameters for each of the N bioaerosols is determined to further determine target biodiffusion data for each of the N bioaerosols, one target biodiffusion data comprising a target particle concentration for the corresponding bioaerosol at a target time frame. According to the embodiment of the invention, under the condition of considering the activity change of the biological aerosol, the biological aerosol can be subjected to diffusion simulation, so that the accuracy of the concentration of target particles is improved.

Description

Biological aerosol diffusion simulation method and device, storage medium and electronic equipment

Technical Field

The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for simulating bioaerosol diffusion, a storage medium, and an electronic device.

Background

Currently, when performing diffusion simulation on a bioaerosol (which may also be referred to as biological particles or biological aerosol particles, etc.), the bioaerosol is generally regarded as a particulate matter having no biological activity, wherein the bioaerosol may refer to aerosol particles having life in the atmosphere (such as microbial particles of bacteria, fungi, viruses, etc.), active particles (such as pollen, spores, etc.), and various plasmids released into the air by living organisms, etc.; based on this, the prior art generally performs diffusion simulation on bioaerosols according to a diffusion simulation method of biologically inactive particulate matter, resulting in lower accuracy of particle concentration obtained by the diffusion simulation. Based on this, how to perform diffusion simulation on a bioaerosol in consideration of the activity change of the bioaerosol to improve the accuracy of the particle concentration (i.e., target particle concentration) obtained by the diffusion simulation has become a research hotspot.

Disclosure of Invention

In view of the above, the embodiments of the present invention provide a method, an apparatus, a storage medium, and an electronic device for simulating diffusion of a bioaerosol, so as to solve the problems of low accuracy of particle concentration obtained by performing diffusion simulation on the bioaerosol, and the like; that is, the embodiment of the invention can perform diffusion simulation on the bioaerosol under the condition of considering the activity change of the bioaerosol so as to improve the accuracy of the concentration of the target particles.

According to an aspect of the present invention, there is provided a bioaerosol diffusion simulation method, the method comprising:

acquiring meteorological data and configuration data in a target time range, wherein the configuration data comprises initial biological activity influence parameter groups under each biological activity influence factor in at least one biological activity influence factor, and the initial biological activity influence parameter groups under each biological activity influence factor are used for initializing biological activity influence parameter groups corresponding to released biological aerosols;

determining biological diffusion data to be attenuated of each biological aerosol in M biological aerosols based on the meteorological data, wherein one biological diffusion data to be attenuated comprises the active concentration to be attenuated of the corresponding biological aerosol, and M is a positive integer;

performing concentration attenuation on the active concentration to be attenuated in the biological diffusion data to be attenuated of the corresponding biological aerosols based on the biological activity influence parameter sets corresponding to the biological aerosols respectively to obtain attenuated biological diffusion data of the biological aerosols, wherein one attenuated biological diffusion data comprises the active attenuated concentration of the corresponding biological aerosols;

updating the corresponding biological activity influence parameter sets of the corresponding biological aerosols based on tolerance updating data of the biological aerosols under the biological activity influence factors respectively to obtain updated biological activity influence parameter sets corresponding to the biological aerosols, wherein any updated biological activity influence parameter set is used for concentration attenuation of the subsequent corresponding biological aerosols;

And determining target biological diffusion data of each biological aerosol in N biological aerosols based on the meteorological data, the updated biological activity influence parameter set corresponding to each biological aerosol and the attenuated biological diffusion data of each biological aerosol, wherein one target biological diffusion data comprises target particle concentration of the corresponding biological aerosol in the target time range, and N is a positive integer.

According to another aspect of the present invention there is provided a bioaerosol diffusion simulation apparatus, the apparatus comprising:

the device comprises an acquisition unit, a configuration unit and a control unit, wherein the acquisition unit is used for acquiring meteorological data and configuration data in a target time range, the configuration data comprises initial biological activity influence parameter groups under each biological activity influence factor in at least one biological activity influence factor, and the initial biological activity influence parameter groups under each biological activity influence factor are used for initializing biological activity influence parameter groups corresponding to released biological aerosols;

the processing unit is used for determining biological diffusion data to be attenuated of each biological aerosol in the M biological aerosols based on the meteorological data, one biological diffusion data to be attenuated comprises the active concentration to be attenuated of the corresponding biological aerosol, and M is a positive integer;

The processing unit is further configured to perform concentration attenuation on the active concentration to be attenuated in the biological diffusion data to be attenuated of the corresponding biological aerosol based on the biological activity influence parameter sets corresponding to the biological aerosols respectively, so as to obtain attenuated biological diffusion data of the biological aerosols, where one attenuated biological diffusion data includes the active attenuated concentration of the corresponding biological aerosol;

the processing unit is further configured to update the bioactivity influence parameter set corresponding to the corresponding bioaerosol based on tolerance update data of each bioaerosol under each bioactivity influence factor, to obtain an updated bioactivity influence parameter set corresponding to each bioaerosol, where any updated bioactivity influence parameter set is used for concentration attenuation of a subsequent corresponding bioaerosol;

the processing unit is further configured to determine target bio-diffusion data of each of the N bio-aerosols based on the meteorological data, the updated set of bio-activity influencing parameters corresponding to each of the bio-aerosols, and the attenuated bio-diffusion data of each of the N bio-aerosols, where one target bio-diffusion data includes a target particle concentration of the corresponding bio-aerosol in the target time range, and N is a positive integer.

According to another aspect of the invention there is provided an electronic device comprising a processor, and a memory storing a program, wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the above mentioned method.

According to another aspect of the present invention there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the above mentioned method.

According to the embodiment of the invention, after the meteorological data and the configuration data in the target time range are acquired, the biological diffusion data to be attenuated of each biological aerosol in the M biological aerosols are determined based on the meteorological data, one biological diffusion data to be attenuated comprises the activity to be attenuated concentration of the corresponding biological aerosol, the configuration data comprises the initial biological activity influence parameter set under each biological activity influence factor in at least one biological activity influence factor, and the initial biological activity influence parameter set under each biological activity influence factor is used for initializing the biological activity influence parameter set corresponding to the released biological aerosol. Then, the concentration attenuation of the activity to be attenuated concentration in the biological diffusion data to be attenuated of the corresponding biological aerosol can be carried out based on the biological activity influence parameter groups corresponding to the biological aerosols respectively, so that attenuated biological diffusion data of the biological aerosols are obtained, and one attenuated biological diffusion data comprises the activity attenuated concentration of the corresponding biological aerosol; and updating the corresponding biological activity influence parameter groups of the corresponding biological aerosols based on tolerance updating data of the biological aerosols under the biological activity influence factors respectively to obtain updated biological activity influence parameter groups corresponding to the biological aerosols, wherein any updated biological activity influence parameter group is used for concentration attenuation of the subsequent corresponding biological aerosols, so that the change condition of the biological aerosol activity can be reflected through the concentration attenuation, and the tolerance change condition of the corresponding biological aerosols can be reflected through each updated biological activity influence parameter group, so that the particle concentration of the biological aerosols can be corrected more accurately (namely, the concentration attenuation) later, namely, the biological aerosol activity can be represented more accurately later. Further, target bio-diffusion data for each of the N bio-aerosols may be determined based on the meteorological data, the updated set of bio-activity affecting parameters corresponding to each bio-aerosol, and the attenuated bio-diffusion data for each bio-aerosol, one target bio-diffusion data comprising a target particle concentration for the respective bio-aerosol at the target time frame. Therefore, the embodiment of the invention can perform diffusion simulation on the bioaerosols under the condition of considering the activity change of the bioaerosols, thereby improving the accuracy of the target particle concentration obtained by the diffusion simulation, namely accurately simulating the target particle concentration of each bioaerosol in N bioaerosols in a target time range, so as to improve the accuracy of target biological diffusion data of each bioaerosol in N bioaerosols.

Drawings

Further details, features and advantages of the invention are disclosed in the following description of exemplary embodiments with reference to the following drawings, in which:

FIG. 1 shows a schematic flow diagram of a bioaerosol diffusion simulation method in accordance with an exemplary embodiment of the present invention;

FIG. 2 illustrates a flow diagram of another bioaerosol diffusion simulation method in accordance with an exemplary embodiment of the present invention;

FIG. 3 shows a flow diagram of yet another bioaerosol diffusion simulation method in accordance with an exemplary embodiment of the present invention;

FIG. 4 shows a flow diagram of yet another bioaerosol diffusion simulation method in accordance with an exemplary embodiment of the present invention;

FIG. 5 shows a schematic block diagram of a bioaerosol diffusion simulation apparatus, according to an exemplary embodiment of the present invention;

fig. 6 shows a block diagram of an exemplary electronic device that can be used to implement an embodiment of the invention.

Detailed Description

Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While the invention is susceptible of embodiment in the drawings, it is to be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the invention. It should be understood that the drawings and embodiments of the invention are for illustration purposes only and are not intended to limit the scope of the present invention.

It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.

The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below. It should be noted that the terms "first," "second," and the like herein are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by such devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the devices in the embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of such messages or information.

It should be noted that, the execution body of the bioaerosol diffusion simulation method provided by the embodiment of the present invention may be one or more electronic devices, which is not limited in the present invention; the electronic device may be a terminal (i.e. a client) or a server, and when the execution body includes a plurality of electronic devices and the plurality of electronic devices include at least one terminal and at least one server, the bioaerosol diffusion simulation method provided by the embodiment of the present invention may be executed jointly by the terminal and the server. Accordingly, the terminals referred to herein may include, but are not limited to: smart phones, tablet computers, notebook computers, desktop computers, smart watches, smart voice interaction devices, smart appliances, vehicle terminals, aircraft, and so on. The server mentioned herein may be an independent physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers, or may be a cloud server that provides cloud services, cloud databases, cloud computing (cloud computing), cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network ), and basic cloud computing services such as big data and artificial intelligence platforms, and so on.

Based on the above description, the embodiments of the present invention propose a bioaerosol diffusion simulation method, which can be performed by the above-mentioned electronic device (terminal or server); alternatively, the bioaerosol diffusion simulation method may be performed by both the terminal and the server. For convenience of explanation, the following description will take electronic equipment to execute the biological aerosol diffusion simulation method as an example; as shown in fig. 1, the bioaerosol diffusion simulation method may include the following steps S101-S105:

s101, acquiring meteorological data and configuration data in a target time range, wherein the configuration data comprises initial biological activity influence parameter groups under each biological activity influence factor in at least one biological activity influence factor, and the initial biological activity influence parameter groups under each biological activity influence factor are used for initializing biological activity influence parameter groups corresponding to released biological aerosols.

The target time range may refer to any time period of history, or may refer to any time period in the future, which is not limited by the present invention. Accordingly, the weather data may include weather information in each of the plurality of grid areas; in the embodiment of the present invention, the foregoing meteorological data acquisition modes may include, but are not limited to, the following:

The first acquisition mode is as follows: the electronic device can acquire the weather downloading link and download according to the weather downloading link, so that the weather data downloaded based on the weather downloading link is used as the acquired weather data.

The second acquisition mode is as follows: the electronic device stores weather data in each of the plurality of time ranges, and then the electronic device can select one time range from the plurality of time ranges and take the selected time range as a target time range, thereby acquiring the weather data in the target time range.

The third acquisition mode is as follows: the electronic equipment can receive the meteorological data monitored by the monitoring site or the satellite remote sensing equipment so as to acquire the meteorological data in the target time range; alternatively, weather forecast may be performed based on WRF (Weather Research and Forecasting Model, weather forecast mode) or the like, and the forecast result is taken as acquired weather data, or the like.

Alternatively, the weather data may include, but is not limited to: temperature, pressure, specific humidity, atmospheric boundary layer height, solar radiation, etc.; the invention is not limited in this regard. Optionally, the weather data may further include humidity, or the electronic device may calculate the humidity from the temperature, the pressure, the specific humidity, and the like in the weather data, and so on.

Correspondingly, the configuration data can be obtained from the setting content stored in the electronic equipment, can be obtained based on a configuration instruction, and the like; the invention is not limited in this regard. When the configuration operation performed by the user is detected, the electronic device can determine that the configuration instruction is detected, and the data carried by the configuration instruction (namely, the data indicated by the configuration operation) is used as the configuration data.

In embodiments of the present invention, the at least one bioactive influencing factor may include, but is not limited to: temperature, humidity, etc., the present invention is not limited thereto. The initial set of biological activity influencing parameters under one biological activity influencing factor may include, but is not limited to: tolerance data (which may also be referred to as a suitable threshold value) at the corresponding biological activity affecting factor, a preset survival threshold value for indicating a constraint that the corresponding biological aerosol is able to survive, and the like, and tolerance data for indicating the tolerance of the corresponding biological aerosol at the corresponding biological activity affecting factor. Wherein, the tolerance data and the preset survival threshold value in the initial biological activity influence parameter set can be set empirically or according to actual requirements, and the invention is not limited to this. Alternatively, the number of bioaerosol types in the at least one bioaerosol type may be 1, then the at least one bioaerosol type may comprise an integrated bioaerosol type, in which case the microorganism particles, the active particles, etc. may all be divided into the same bioaerosol type, i.e. all bioaerosols which are simulated to be released may belong to the integrated bioaerosol type; alternatively, the at least one bioaerosol type may comprise a microorganism particle type and other particle types, the bioaerosol under other particle types may comprise active particles and various plasmids released into the air by living organisms, etc., the bioaerosol under a microorganism particle type may comprise microorganism particles; alternatively, the at least one bioaerosol type may include a microorganism particle type, an active particle type, a bioactive organism release plasmid type, and so forth; the invention is not limited in this regard.

In particular, when the at least one biological activity affecting factor comprises a temperature, the configuration data may comprise an initial set of biological activity affecting parameters at the temperature, and the initial set of biological activity affecting parameters at the temperature may comprise tolerance data and a preset survival threshold value for the respective biological aerosol type at the temperature, in which case the tolerance data for one biological aerosol type at the temperature may refer to: the maximum suitable temperature for the respective bioaerosol type, the preset survival threshold for a bioaerosol type at temperature may refer to: maximum survival temperature of the respective bioaerosol type; that is, when a bioaerosol of a bioaerosol type is at a temperature between a maximum suitable temperature and a maximum survival temperature, the activity of the bioaerosol is reduced, i.e., the particle concentration of the bioaerosol may be reduced, and when the bioaerosol is at a temperature greater than or equal to the maximum survival temperature, the bioaerosol is deactivated, e.g., the particle concentration of the bioaerosol may be zero. It will be appreciated that an increase in the maximum suitable temperature may be used to reflect an increase in the tolerance of the respective bioaerosol, i.e. may be used to reflect an increase in the tolerance of the respective bioaerosol at temperature.

Accordingly, when the at least one biological activity affecting factor comprises humidity, the configuration data may comprise an initial set of biological activity affecting parameters under humidity, and the initial set of biological activity affecting parameters under humidity may comprise tolerance data and a preset survival threshold for each biological aerosol type under humidity, in which case the tolerance data for one biological aerosol type under humidity may refer to: the minimum suitable humidity for the respective bioaerosol type, the preset survival threshold for a bioaerosol type at humidity may refer to: the minimum survival humidity of the respective bioaerosol type, that is, the activity of a bioaerosol in a bioaerosol type is reduced when the humidity at which the bioaerosol is located is between a minimum suitable humidity and a minimum survival humidity, i.e., the particle concentration of the bioaerosol may be reduced, the bioaerosol is deactivated when the humidity at which the bioaerosol is located is less than or equal to the minimum survival humidity, e.g., the particle concentration of the bioaerosol may be equal to a preset humidity decay concentration threshold (e.g., 0 or 0.1, etc.), etc. It should be appreciated that a decrease in the minimum suitable humidity may be used to reflect an increase in the tolerance of the bioaerosol, i.e. may be used to reflect an increase in the tolerance of the bioaerosol under humidity.

In the embodiment of the invention, when the biological activity influence parameter set corresponding to the released biological aerosol is initialized based on the initial biological activity influence parameter set under each biological activity influence factor, the electronic equipment can determine the biological aerosol type to which the released biological aerosol belongs, and select the biological activity influence parameter set of the determined biological aerosol type under each biological activity influence factor from the initial biological activity influence parameter set under each biological activity influence factor according to the determined biological aerosol type. Then, the selected bioactive influencing parameter set can be used as a bioactive influencing parameter set corresponding to the released bioactive aerosol, so as to initialize the bioactive influencing parameter set corresponding to the released bioactive aerosol, so that the bioactive influencing parameter set corresponding to one bioactive aerosol comprises the bioactive influencing parameter set under each bioactive influencing factor, i.e. the bioactive influencing parameter set corresponding to one bioactive aerosol comprises the bioactive influencing parameter set of the type of the corresponding bioactive aerosol under each bioactive influencing factor. Wherein, the initialization results of the corresponding biological activity influence parameter sets of different biological aerosols under the same biological aerosol type are the same.

For example, assuming that the at least one biological activity affecting factor comprises a temperature and a humidity, the at least one biological aerosol type comprises a first aerosol type (e.g. a microbial particle type) and a second aerosol type (e.g. an active particle type), in which case the initial set of biological activity affecting parameters at temperature may comprise a set of biological activity affecting parameters of the first aerosol type at temperature (i.e. a tolerance data and a preset survival threshold value of the first aerosol type at temperature) and a set of biological activity affecting parameters of the second aerosol type at temperature (i.e. a tolerance data and a preset survival threshold value of the second aerosol type at temperature), and the initial set of biological activity affecting parameters at humidity may comprise a set of biological activity affecting parameters of the first aerosol type at humidity and a set of biological activity affecting parameters of the second aerosol type at humidity. Further, assuming that the aerosol type to which the released biological aerosol belongs is the first aerosol type, the electronic device may select the biological activity influencing parameter set of the first aerosol type at the temperature from the initial biological activity influencing parameter set at the temperature, and select the biological activity influencing parameter set of the first aerosol type at the humidity from the initial biological activity influencing parameter set at the humidity, so as to initialize the biological activity influencing parameter set corresponding to the biological aerosol by using the selected biological activity influencing parameter set, where the biological activity influencing parameter set corresponding to the released biological aerosol includes the biological activity influencing parameter set of the first aerosol type at the temperature and the biological activity influencing parameter set of the first aerosol type at the humidity.

Optionally, the above configuration data may also include a emissions list (i.e., a pollutant emissions list) that may include, but is not limited to: emission data of each of the at least one bioaerosol pollution sources within a preset time period, position information of each of the bioaerosol pollution sources, and the like, wherein one emission data can comprise emission amounts of the corresponding bioaerosol pollution sources for each of the at least one particle release type within the preset time period; the invention is not limited in this regard. Alternatively, the preset duration may be one hour, or may be two hours, or the like, which is not limited in the present invention. Alternatively, a particle release type may be the same as or different from a bioaerosol type, which is not limited in the present invention; for example, the at least one bioaerosol type may comprise an integrated bioaerosol type, the at least one particle release type may comprise a microbial particle type, an active particle type, and a bioactive organism release plasmid type, wherein the bioaerosols released according to any of the particle release types all belong to the integrated bioaerosol type; as another example, the at least one bioaerosol type may include a microorganism particle type, an active particle type, and a bioactive organism releasing plasmid type, the at least one particle releasing type may include a bacteria type, other microorganism particle types, an active particle type, and a bioactive organism releasing plasmid type, when bioaerosols released according to the bacteria type or other microorganism particle types are all of the microorganism particle types in the at least one bioaerosol type, bioaerosols released according to the active particle types in the at least one particle releasing type are all of the active particle types in the at least one bioaerosol type, and bioaerosols released according to the bioactive organism releasing plasmid types in the at least one particle releasing type are all of the bioactive organism releasing plasmid types in the at least one bioaerosol type, and so on.

Alternatively, the electronic device may release the bioaerosol based on the emissions manifest to achieve particle release. Optionally, the emissions list may further include a release quantity for each particle release type for each bioaerosol pollution source for a preset period of time; based on this, when releasing the bioaerosols based on the emission list, the electronic device may determine a target emission amount and a target release amount for any one of the at least one bioaerosol pollution source and any one of the at least one particle release type for any one of the particle release types from the emission list, and calculate an initial particle concentration of each released bioaerosol for any one of the particle release types released by the any one of the bioaerosol pollution source based on the target emission amount and the target release amount, to obtain biodiffusion data for each released bioaerosol. In other words, the initial particle concentration of each released bio-aerosol may be used to initialize bio-diffusion data of the respective released bio-aerosol, thereby determining bio-diffusion data of the newly released bio-aerosol for subsequent support diffusion simulation processes, i.e. for subsequent calculation of the bio-diffusion data to be attenuated and the attenuated bio-diffusion data, etc. Alternatively, the electronic device may take the result of the division between the target emission amount and the target emission amount as the initial particle concentration of each of the released bioaerosols. Based on this, the amount of bioaerosols released each time a particle release is performed for any particle release type is determined by the release amount, and then the amount of bioaerosols released each time a particle release is performed for any particle release type is the same when the corresponding calculated time period for each particle release is the same. Alternatively, the calculation time may be set empirically, or may be set according to actual requirements, which is not limited in the present invention.

Optionally, the electronic device may also randomly generate a target release amount of any bio-aerosol pollution source for any particle release type within a calculated time period, and determine a target release amount of any bio-aerosol pollution source for any particle release type within the calculated time period from the release list, so as to calculate an initial particle concentration of each released bio-aerosol based on the target release amount and the target release amount, and so on; the invention is not limited in this regard.

S102, determining biological diffusion data to be attenuated of each biological aerosol in M biological aerosols based on meteorological data, wherein one biological diffusion data to be attenuated comprises the active concentration to be attenuated of the corresponding biological aerosol, and M is a positive integer.

Optionally, the electronic device may invoke an air quality model to determine biological diffusion data to be attenuated for each biological aerosol based on the meteorological data; specifically, an air quality model may be invoked, biological diffusion data to be attenuated for each biological aerosol determined based on the meteorological data and emissions inventory, and so forth. Alternatively, the air quality model may be an euler model (such as CFD (Computational Fluid Dynamics, computational fluid dynamics) model, a CAMx model (which is a region photochemical discrete model of euler), etc.), a lagrangian model (such as LPDM model (Lagrangian Particle Dispersion Models, lagrangian particle transport and diffusion mode, which may also be referred to as lagrangian trajectory model), a hystlit model (Hybrid Single Particle Lagrangian Integrated Trajectory Model, lagrangian mixed single particle trajectory model), etc., which includes a concentration attenuation algorithm; the invention is not limited in this regard. Preferably, the air quality model in the embodiment of the invention is a lagrangian model (such as an LPDM model) including a concentration decay algorithm, so that calculation is performed only for particles (i.e., bioaerosols) released by model simulation, so as to reduce the calculated amount and save the calculation resources. Wherein, the concentration decay algorithm can be used in the biochemical process of the bioaerosol; in the embodiment of the invention, the concentration attenuation algorithm can also be called a dynamic biological activity influence factor attenuation scheme for concentration attenuation, tolerance update and the like.

Based on this, after acquiring the weather data and the configuration data, the electronic device may input the weather data and the configuration data to the air quality model as external input data of the air quality model, as shown in fig. 2; in this case, the electronic device may invoke the air quality model to perform a bioaerosol diffusion simulation based on the meteorological data and the configuration data. It should be noted that the diffusion simulation process of the bioaerosol may include a core solution process, and the core solution process may include, but is not limited to: particle release (i.e., bioaerosol release to release bioaerosols, thereby simulating the bioaerosol to be released), physical and biochemical processes, and the like.

Alternatively, the above-described physical processes may also be referred to as particle motion processes, and may include, but are not limited to, wet and dry sedimentation, advection, and turbulent diffusion, among others; accordingly, biochemical processes may also be referred to as bioactive attenuation processes, and biochemical processes may include, but are not limited to: attenuation of various bioactive factors (e.g., thermal and humidity attenuation, i.e., solubility attenuation of bioaerosols by temperature and humidity), biological attenuation, etc., are shown in fig. 3. Wherein biological attenuation may refer to concentration attenuation of the bioaerosol based on the release duration such that the particle concentration of the bioaerosol decreases with increasing release duration. Therefore, the embodiment of the invention can simulate the processes of advection, turbulent motion, dry sedimentation, wet sedimentation and the like of the biological aerosol, and simultaneously simulate the change of the activity of the biological aerosol along with time, space and biological activity influence factors. Wherein, the release duration of one biological aerosol refers to the difference between the release time of the corresponding biological aerosol and the current system time.

Accordingly, the biological diffusion data to be attenuated of one biological aerosol may refer to biological diffusion data of the corresponding biological aerosol after the physical process (i.e. diffusion simulation under the physical process), that is, after determining the biological diffusion data of each biological aerosol, the diffusion simulation under the physical process may be performed on each biological aerosol based on the meteorological data to obtain the biological diffusion data to be attenuated of each biological aerosol. Alternatively, the M bioaerosols may refer to bioaerosols after the first particle release, that is, M bioaerosols may be generated after the first particle release; alternatively, the M bioaerosols may also include bioaerosols having a particle concentration greater than a predetermined concentration threshold in the T-th released bioaerosol and the T-1 previous released bioaerosols after the T-th particle release (i.e., bioaerosols surviving in the T-1 previous released bioaerosols), T being an integer greater than 1. Alternatively, the preset concentration threshold may be set empirically, or may be set according to actual requirements, which is not limited in the present invention.

S103, performing concentration attenuation on the activity to-be-attenuated concentration in the to-be-attenuated biological diffusion data of the corresponding biological aerosols based on the corresponding biological activity influence parameter sets of the biological aerosols respectively to obtain attenuated biological diffusion data of the biological aerosols, wherein one attenuated biological diffusion data comprises the activity attenuated concentration of the corresponding biological aerosols.

It should be understood that the electronic device may perform concentration decay on the active to-be-decayed concentration in the to-be-decayed biological diffusion data of the respective bioaerosols based on the corresponding set of biological activity influence parameters of the respective bioaerosols through a biochemical process (i.e. a diffusion simulation under the biochemical process), respectively. Based on this, the electronic device can perform concentration decay on any living bioaerosol (i.e., bioaerosols having particle concentrations greater than a preset concentration threshold) during each cycle.

S104, updating the corresponding biological activity influence parameter sets of the corresponding biological aerosols based on tolerance updating data of the biological aerosols under the biological activity influence factors respectively to obtain updated biological activity influence parameter sets corresponding to the biological aerosols, wherein any updated biological activity influence parameter set is used for the concentration attenuation of the subsequent corresponding biological aerosols.

In the embodiment of the present invention, one bioactive influence parameter set includes tolerance data under a corresponding bioactive influence factor and a preset survival threshold, and then the electronic device may update the tolerance data included in the bioactive influence parameter set under each bioactive influence factor in the bioactive influence parameter set corresponding to the corresponding bioaerosol based on the tolerance update data of each bioaerosol under each bioactive influence factor.

By way of example, assuming that the corresponding set of bioactive influence parameters of the bioaerosol a includes a set of bioactive influence parameters a at temperature and a set of bioactive influence parameters B at humidity, tolerance update data of the bioaerosol a at temperature (i.e., a maximum suitable temperature update value) and tolerance update data of the bioaerosol a at humidity (i.e., a minimum suitable humidity update value) may be determined, and tolerance data in the set of bioactive influence parameters a (i.e., a maximum suitable temperature) may be updated with the maximum suitable temperature update value and tolerance data in the set of bioactive influence parameters B (i.e., a minimum suitable humidity) may be updated with the minimum suitable humidity update value.

S105, determining target biological diffusion data of each biological aerosol in N biological aerosols based on meteorological data, updated biological activity influence parameter groups corresponding to the biological aerosols and attenuated biological diffusion data of the biological aerosols, wherein one target biological diffusion data comprises target particle concentration of the corresponding biological aerosol in a target time range, and N is a positive integer.

In the embodiment of the invention, the electronic equipment can circularly execute the particle release, the physical process, the biochemical process and the like according to the cycle duration (namely, the time integral) until the duration indicated by the target time range passes, so as to complete the diffusion simulation of the biological aerosol in the target time range, thereby obtaining the target biological diffusion data of each biological aerosol in N biological aerosols. It should be noted that the N bioaerosols may include bioaerosols that survive from among the bioaerosols released by each release of particles within a time period indicated by the target time frame. Alternatively, the cycle duration may be set empirically, may be set according to actual requirements, or may be determined according to spatial resolution (i.e. the size of the grid area), which is not limited in the present invention; alternatively, the cycle duration may be the same as the above-mentioned calculation duration, or may be different from the calculation duration, which is not limited in the present invention.

Based on the above description, the embodiment of the invention also provides a more specific biological aerosol diffusion simulation method. Accordingly, the bioaerosol diffusion simulation method may be performed by the above-mentioned electronic device (terminal or server); alternatively, the bioaerosol diffusion simulation method may be performed by both the terminal and the server. For convenience of explanation, the following description will take electronic equipment to execute the biological aerosol diffusion simulation method as an example; referring to fig. 4, the bioaerosol diffusion simulation method may include the following steps S401 to S407:

s401, meteorological data and configuration data in a target time range are acquired, wherein the configuration data comprise initial biological activity influence parameter groups under each biological activity influence factor in at least one biological activity influence factor, and the initial biological activity influence parameter groups under each biological activity influence factor are used for initializing biological activity influence parameter groups corresponding to released biological aerosols.

S402, determining biological diffusion data to be attenuated of each biological aerosol in M biological aerosols based on meteorological data, wherein one biological diffusion data to be attenuated comprises the active concentration to be attenuated of the corresponding biological aerosol, and M is a positive integer.

S403, performing concentration attenuation on the activity to-be-attenuated concentration in the to-be-attenuated biological diffusion data of the corresponding biological aerosols based on the corresponding biological activity influence parameter sets of the biological aerosols respectively to obtain attenuated biological diffusion data of the biological aerosols, wherein one attenuated biological diffusion data comprises the activity attenuated concentration of the corresponding biological aerosols.

In one embodiment, for an mth biological aerosol of the M biological aerosols, the electronic device may traverse each of the biological activity impact parameter sets corresponding to the mth biological aerosol, and take the currently traversed biological activity impact parameter set as a current biological activity impact parameter set, the current biological activity impact parameter set including current tolerance data under a current biological activity impact factor and a current preset survival threshold, me [1, M ]; then, the intermediate particle concentration of the mth biological aerosol can be calculated based on the current tolerability data, the current preset survival threshold value and the active to-be-attenuated concentration in the to-be-attenuated biological diffusion data of the mth biological aerosol, and the intermediate particle concentration is taken as the active to-be-attenuated concentration of the mth biological aerosol. After traversing each biological activity influence parameter set in the biological activity influence parameter set corresponding to the mth biological aerosol, taking the concentration to be attenuated of the activity of the mth biological aerosol as the attenuated concentration of the activity of the mth biological aerosol so as to realize concentration attenuation of the concentration to be attenuated of the activity of the mth biological aerosol and obtain attenuated biological diffusion data of the mth biological aerosol.

Specifically, when the at least one biological activity affecting factor includes temperature and humidity, the biological activity affecting parameter set corresponding to the mth biological aerosol includes a biological activity affecting parameter set at temperature and a biological activity affecting parameter set at humidity, and the biological activity affecting parameter set at temperature includes tolerance data at temperature (i.e., maximum suitable temperature) and a preset survival threshold value at temperature (i.e., maximum survival temperature), and the biological activity affecting parameter set at humidity includes tolerance data at humidity (i.e., minimum suitable humidity) and a preset survival threshold value at humidity (i.e., minimum survival humidity). Alternatively, the electronic device may traverse the bioactive influencing parameter set at temperature first, and then traverse the bioactive influencing parameter set at humidity, that is, may perform concentration decay based on the bioactive influencing parameter set at temperature first, and then perform concentration decay based on the bioactive influencing parameter set at humidity; alternatively, the bioactive influencing parameter set under humidity may be traversed first, then the bioactive influencing parameter set under temperature may be traversed, that is, concentration decay may be performed based on the bioactive influencing parameter set under humidity first, concentration decay may be performed based on the bioactive influencing parameter set under temperature, and so on; the invention is not limited in this regard.

Then, correspondingly, the electronic device may determine the decay temperature and decay humidity of the mth bioaerosol; alternatively, the attenuation temperature and the attenuation humidity may refer to the temperature and the humidity of the mth biological aerosol at the current system time, or may refer to the highest temperature and the lowest humidity experienced by the mth biological aerosol, and the invention is not limited thereto. Taking the attenuation temperature and the attenuation humidity as the temperature and the humidity of the m-th biological aerosol under the current system time as an example for explanation, the attenuation temperature may refer to temperature interpolation, in this case, the electronic device may determine the temperature of each neighboring grid region in the H neighboring grid regions where the m-th biological aerosol is located under the current system time, and weight and sum the temperatures of each neighboring grid region to obtain the attenuation temperature of the m-th biological aerosol, where H is a positive integer. Optionally, the weights corresponding to the temperatures of the neighboring grid areas may be the same, or may be determined according to the distance between the neighboring grid area and the position where the mth biological aerosol is located at the current system time (for example, the weights are inversely related to the distance, etc.), and so on; the invention is not limited in this regard. The H neighboring grid areas refer to the first H grid areas closest to the position of the mth bioaerosol in the multiple grid areas under the current system time.

Optionally, the meteorological data may also include humidity, and the attenuated humidity may refer to humidity interpolation, based on which the electronic device may determine the humidity of each neighboring grid area where the mth biological aerosol is located at the current system time, and perform weighted summation on the humidity of each neighboring grid area to obtain the attenuated humidity of the mth biological aerosol; alternatively, the attenuation humidity may be obtained by inversion of meteorological parameters, in which case the electronic device may determine the temperature (i.e., attenuation temperature), pressure, specific humidity, etc. at the current system time of the mth biological aerosol, so as to calculate the attenuation humidity based on the temperature, pressure, and specific humidity at the current system time of the mth biological aerosol, etc.; the invention is not limited in this regard. Optionally, the weights corresponding to the humidity of each neighboring grid region may be the same, or may be determined according to the distance between the neighboring grid region and the position of the mth biological aerosol under the current system time, and so on; the invention is not limited in this regard. Similarly, the pressure and specific humidity of the mth biological aerosol at the current system time can be calculated based on the pressure and specific humidity of each neighboring grid area, and the invention is not repeated here.

Further, the electronic device may calculate the intermediate particle concentration of the mth bioaerosol based on the maximum suitable temperature, the maximum survival temperature, the decay temperature, and the active to-be-decayed concentration of the mth bioaerosol (i.e., the particle concentration after undergoing diffusion simulation under a physical process); specifically, the electronic device may calculate the intermediate particle concentration of the mth bioaerosol using equation 1.1:

1.1

Wherein C is _corrT C for the temperature-corrected particle concentration (i.e. the intermediate particle concentration after concentration decay of the concentration to be decayed of the activity based on the set of biological activity influencing parameters at temperature) _T For the concentration of particles before temperature correction (for example, when the set of biological activity influencing parameters at the temperature is traversed before the set of biological activity influencing parameters at the humidity is traversed again), T is the concentration of particles which have undergone a physical process and have not undergone a biochemical process in the current cycle, i.e. the concentration of activity to be attenuated before temperature correction _max T is the maximum survival temperature (i.e. lethal temperature) ₀ Is the maximum suitable temperature, and T is the decay temperature. It can be seen that when the attenuation temperature is greater than or equal to the maximum survival temperature, the concentration of the particles of the mth bioaerosol is 0 after the concentration of the activity to be attenuated of the mth bioaerosol is attenuated; when the decay temperature is greater than the maximum suitable temperature and less than the maximum survival temperature, the particle concentration of the mth bioaerosol decreases linearly (i.e., the temperature corrected particle concentration is less than the temperature corrected particle concentration); when the attenuation temperature is less than or equal to the maximum suitable temperature, the particle concentration of the mth bioaerosol subjected to concentration attenuation is unchanged, that is, the particle concentration is not affected by the temperature when not higher than the maximum suitable temperature.

Accordingly, the electronic device may calculate the intermediate particle concentration of the mth bioaerosol based on the minimum suitable humidity, the minimum surviving humidity, the decaying humidity, and the active to-be-decayed concentration of the mth bioaerosol using equation 1.2:

1.2

Wherein C is _corrRH For the particle concentration after humidity correction (i.e. based onBiological activity influence parameter set under humidity to intermediate particle concentration after concentration decay of the concentration to be decayed of the activity), C _RH For particle concentration before humidity correction (for example, when the bioactive influence parameter set at the previous traversal temperature is traversed again by the bioactive influence parameter set at the humidity, the concentration of the intermediate particles after concentration attenuation based on the bioactive influence parameter set at the temperature, i.e. the concentration to be attenuated before humidity correction), RH _min To minimum survival humidity (i.e. lethal humidity), RH ₀ RH is the decay humidity, and a and b are both fixed coefficients; alternatively, a may be 0.0000376 or 0.0000375, etc., and b may be 10 or 11, etc., which is not limited in the present invention. It can be seen that when the decay humidity is below the minimum suitable humidity and above the minimum surviving humidity, the particle concentration decreases exponentially with decreasing humidity; when the attenuation humidity is not lower than the minimum proper humidity, the particle concentration is not affected by the humidity; when the decay humidity is less than or equal to the minimum survival humidity, the particle concentration approaches 0.

In another embodiment, the electronic device may also perform concentration attenuation on the concentration to be attenuated of the activity of the mth biological aerosol based on the tolerance data and the preset survival threshold value in each biological activity influence parameter set, so as to obtain the intermediate particle concentration of the mth biological aerosol under each biological activity influence parameter set; the concentration of the intermediate particles of the mth bioaerosol at each set of bioactivity influence parameters may then be weighted and summed to obtain an activity attenuated concentration of the mth bioaerosol, and so on. Optionally, the corresponding weights of the intermediate particle concentration of the mth biological aerosol under each biological activity influence parameter set may be the same or different, which is not limited in the present invention; alternatively, the sum of the respective intermediate particle concentration correspondence weights may be 1.

S404, determining influence factor data of the biological activity influence factors corresponding to any biological activity influence parameter group in a historical time range according to meteorological data aiming at any biological aerosol in M biological aerosols and any biological activity influence parameter group corresponding to any biological aerosol, wherein the historical time range refers to: any bioaerosol is in a time range formed by the current system time and the released time.

It should be understood that when any one of the biological activity influence parameter sets is a biological activity influence parameter set at a temperature, the influence factor data of the biological activity influence factor (i.e., temperature) corresponding to any one of the biological activity influence parameter sets in the historical time range includes: the temperature at which any one of the bioaerosols is in the historical time range (i.e., the temperature at which any one of the bioaerosols has been in the historical time range), that is, the impact factor data may include: the temperature at which any one of the bioaerosols is at each of a plurality of moments in the historical time frame. Accordingly, when any one of the biological activity influencing parameter sets is a biological activity influencing parameter set under humidity, the influence factor data of the biological activity influencing factor (i.e. humidity) corresponding to any one of the biological activity influencing parameter sets in the historical time range includes: the humidity to which any one of the bioaerosols is subjected in the history time range (i.e., the humidity to which any one of the bioaerosols is subjected in the history time range), that is, the influence factor data may include: humidity at each of a plurality of moments in time in a historical time frame for any one biological aerosol.

And S405, determining tolerance updating data of any biological aerosol under the biological activity influence factors corresponding to any biological activity influence parameter group based on the influence factor data.

In the embodiment of the invention, if the biological activity influence factor corresponding to any biological activity influence parameter group is temperature, the determined tolerance updating data is determined based on the maximum value (namely the maximum temperature) in the influence factor data; alternatively, the maximum temperature experienced by any of the above-described bioaerosols over a historical time frame may be used as the determined tolerability update data, or the maximum temperature and the maximum appropriate temperature may be weighted together to obtain the determined tolerability update data, and so on. If the biological activity influence factor corresponding to any biological activity influence parameter group is humidity, determining tolerance updating data based on the minimum value (namely the minimum humidity) in the influence factor data; alternatively, the minimum humidity experienced by any of the above-described biological aerosols over a historical time horizon may be used as the determined tolerability update data, or the minimum humidity and the minimum suitable humidity may be weighted together to obtain the determined tolerability update data, and so on.

Optionally, if the biological activity influencing factor corresponding to any biological activity influencing parameter set is a temperature, the electronic device may also use the attenuation temperature of any biological aerosol as the determined tolerance updating data when detecting that the attenuation temperature of any biological aerosol is greater than the maximum suitable temperature; if the biological activity influencing factor corresponding to any biological activity influencing parameter set is humidity, the electronic device can also use the attenuation humidity of any biological aerosol as the determined tolerance updating data when detecting that the attenuation humidity of any biological aerosol is smaller than the minimum suitable humidity. In this case, if the decay temperature of any one of the bioaerosols is less than or equal to the maximum suitable temperature, the determined tolerance update data is equal to the maximum suitable temperature, i.e., the tolerance data is unchanged before and after the update; accordingly, if the decaying humidity of any one of the bioaerosols is greater than or equal to the minimum suitable humidity, the determined tolerance update data is equal to the minimum suitable humidity.

S406, updating any biological activity influence parameter group based on the determined tolerance updating data to obtain an updated biological activity influence parameter group corresponding to any biological activity influence parameter group, and taking the updated biological activity influence parameter group as an updated biological activity influence parameter group corresponding to any biological aerosol to obtain an updated biological activity influence parameter group corresponding to any biological aerosol.

In an embodiment of the present invention, any one of the sets of biological activity affecting parameters may include tolerance data and a preset survival threshold under the corresponding biological activity affecting factor. Based on the above, when updating any one of the bioactive influence parameter sets based on the determined tolerance updating data to obtain an updated bioactive influence parameter set corresponding to any one of the bioactive influence parameter sets, the electronic device may update the tolerance data in any one of the bioactive influence parameter sets based on the determined tolerance updating data to obtain an updated bioactive influence parameter set corresponding to any one of the bioactive influence parameter sets, where the updated bioactive influence parameter set includes the determined tolerance updating data and a preset survival threshold; that is, the tolerance data in any one of the sets of biological activity affecting parameters may be updated to the determined tolerance update data. The particle concentration of any biological aerosol changes along with the change of the biological activity influence factors corresponding to any biological activity influence parameter group between the determined tolerance updating data and the preset survival threshold value; that is, subsequent corrections (i.e., concentration decays) may be made to the particle concentration of any bioaerosol based on the updated set of bioactivity-influencing parameters.

Specifically, if any one of the bioactive influencing parameter sets is a bioactive influencing parameter set at a temperature (i.e., the bioactive influencing factor corresponding to any one of the bioactive influencing parameter sets is a temperature), the determined tolerance update data can be used as the maximum suitable temperature in any one of the bioactive influencing parameter sets; taking the determined tolerability update data as the decay temperature (i.e., T) of any bioaerosol as an example, T can be used ₀ (i.e., maximum fitting temperature) =t to update the maximum fitting temperature.

Correspondingly, if any one of the biological activity influencing parameter sets is the biological activity influencing parameter set under the humidity (i.e. the biological activity influencing factor corresponding to any one of the biological activity influencing parameter sets is the humidity), the determined tolerance updating data can be used as the minimum suitable humidity in any one of the biological activity influencing parameter sets; taking the determined tolerability update data as the decay humidity (i.e., RH) of any bioaerosol as an example, RH can be used ₀ (i.e., minimum fitting humidity) =rh to update the minimum fitting humidity.

It should be appreciated that the maximum suitable temperature and minimum suitable humidity described above may represent the tolerance of the bioaerosol to temperature and humidity, respectively, and that any one bioaerosol may be caused to have increased tolerance when triggered by a decreasing temperature and humidity (i.e., a decreasing particle concentration) at the temperature and humidity, i.e., the maximum suitable temperature and minimum suitable humidity may change as the particle concentration of the bioaerosol decreases, thereby increasing the maximum suitable temperature and decreasing the minimum suitable humidity. In other words, the low tolerance part of the bioaerosol is inactive due to temperature or humidity, and the remaining part is strong in tolerance and survives, so that the tolerance data can be updated after the concentration is attenuated. Therefore, the tolerance change of the biological aerosol is considered, so that the relation between the ambient temperature, the humidity and the biological aerosol activity is established under the condition of considering the tolerance change, the relation between the biological activity influencing factor and the biological aerosol activity is more accurately represented, and the activity influence condition of the biological activity influencing factor on the biological aerosol can be more accurately represented.

S407, determining target biological diffusion data of each biological aerosol in N biological aerosols based on meteorological data, updated biological activity influence parameter groups corresponding to the biological aerosols and attenuated biological diffusion data of the biological aerosols, wherein one target biological diffusion data comprises target particle concentration of the corresponding biological aerosol in a target time range, and N is a positive integer.

In an embodiment of the present invention, the configuration data may further include a discharge list, the M bioaerosols being released based on the discharge list. Based on this, when determining the target bio-diffusion data of each of the N bio-aerosols based on the meteorological data, the updated bio-activity influence parameter set corresponding to each of the bio-aerosols, and the attenuated bio-diffusion data of each of the N bio-aerosols, the electronic device may determine the bio-diffusion data of the corresponding bio-aerosol based on the attenuated bio-diffusion data of each of the N bio-aerosols, respectively, and use the updated bio-activity influence parameter set corresponding to each of the bio-aerosols as the bio-activity influence parameter set corresponding to the corresponding bio-aerosol, respectively, so as to continue the diffusion simulation for each of the bio-aerosols based on the bio-diffusion data of each of the bio-aerosols and the bio-activity influence parameter set corresponding to each of the bio-aerosols. Wherein, one bio-diffusion data may refer to initial data of the corresponding bio-aerosol during one cycle (i.e., data before diffusion simulation under physical process of the corresponding bio-aerosol in one cycle), and may include initial particle concentration of the corresponding bio-aerosol during one cycle (i.e., particle concentration before diffusion simulation under physical process of the corresponding bio-aerosol in one cycle); optionally, one bio-diffusion data may further comprise initial particle position confidence of the corresponding bio-aerosol during one cycle (i.e. particle position information before physical process diffusion simulation of the corresponding bio-aerosol in one cycle).

Further, the electronic device may determine bio-diffusion data for each of P bio-aerosols based on the emission list and the bio-diffusion data for each of the M bio-aerosols, the P bio-aerosols including Q bio-aerosols of the M bio-aerosols and at least one bio-aerosol other than the M bio-aerosols being released, P and Q each being a positive integer. The Q bio-aerosols may include bio-aerosols having a particle concentration greater than a preset concentration threshold in the M bio-aerosols, that is, bio-aerosols having a particle concentration greater than a preset concentration threshold in the M bio-aerosols in the current cycle. And, the at least one bioaerosol may comprise a bioaerosol released under the current cycle; for example, assuming the current cycle is the t-th cycle, the at least one bioaerosol may comprise a bioaerosol released upon release of the t-th particle, t being a positive integer.

Then, the electronic device may determine a set of biological activity influencing parameters corresponding to each of the P biological aerosols based on the initial set of biological activity influencing parameters under each biological activity influencing factor and the set of biological activity influencing parameters corresponding to each biological aerosol; the set of biological activity influencing parameters corresponding to each of the Q biological aerosols included in the P biological aerosols is determined from the set of biological activity influencing parameters corresponding to each biological aerosol, and the set of biological activity influencing parameters corresponding to each of the at least one biological aerosol included in the P biological aerosols is determined based on the initial set of biological activity influencing parameters under each biological activity influencing factor, that is, the electronic device may use the initial set of biological activity influencing parameters under each biological activity influencing factor to initialize the set of biological activity influencing parameters corresponding to each biological aerosol in the at least one biological aerosol.

Based on this, the electronic device may determine attenuated bio-diffusion data for each of the P bio-aerosols and updated bio-activity impact parameter sets for each of the P bio-aerosols based on the meteorological data, the bio-diffusion data for each of the P bio-aerosols, and the bio-activity impact parameter sets for each of the P bio-aerosols to determine target bio-diffusion data for each of the N bio-aerosols. Specifically, the electronic device may perform diffusion simulation on each of the P biological aerosols based on the meteorological data, the biological diffusion data of each of the P biological aerosols, and the biological activity influence parameter set corresponding to each of the P biological aerosols, to obtain attenuated biological diffusion data of each of the P biological aerosols and an updated biological activity influence parameter set corresponding to each of the P biological aerosols; and then, continuously circulating based on the attenuated biological diffusion data of each biological aerosol in the P biological aerosols and the updated biological activity influence parameter set corresponding to each biological aerosol in the P biological aerosols until the diffusion simulation of the biological aerosols in the target time range is completed, so as to obtain the target biological diffusion data of each biological aerosol in the N biological aerosols.

In the embodiment of the present invention, one bio-diffusion data includes particle concentration and particle position information of a corresponding bio-aerosol, and in this case, the electronic device may determine a display position of each of the N bio-aerosols in the display area based on the particle position information in the target bio-diffusion data of each of the N bio-aerosols, respectively; then, according to the display position of each of the N bioaerosols in the display area, each of the N bioaerosols can be displayed, and the target particle concentration of each of the N bioaerosols can be output, so as to intuitively reflect the distribution situation of the released bioaerosols within the target time range. It will be appreciated that one particle position information corresponds to one display position in the display area. Alternatively, the display process for each of the N bioaerosols may also be referred to as a data visualization post-processing process.

According to the embodiment of the invention, after the meteorological data and the configuration data in the target time range are acquired, the biological diffusion data to be attenuated of each biological aerosol in the M biological aerosols are determined based on the meteorological data, the configuration data comprise initial biological activity influence parameter groups under each biological activity influence factor in at least one biological activity influence factor, the initial biological activity influence parameter groups under each biological activity influence factor are used for initializing the biological activity influence parameter groups corresponding to the released biological aerosols, and one biological diffusion data to be attenuated comprise the activity concentration to be attenuated of the corresponding biological aerosols. And then, carrying out concentration attenuation on the activity to-be-attenuated concentration in the to-be-attenuated biological diffusion data of the corresponding biological aerosol based on the corresponding biological activity influence parameter groups of the biological aerosol respectively to obtain attenuated biological diffusion data of the biological aerosol, wherein one attenuated biological diffusion data comprises the activity attenuated concentration of the corresponding biological aerosol. Further, for any one of the M bioaerosols and any one of the bioactive influence parameter sets corresponding to any one of the bioaerosols, the influence factor data of the bioactive influence factor corresponding to any one of the bioactive influence parameter sets in a historical time range may be determined based on the meteorological data, where the historical time range refers to: any biological aerosol in the current system time and the released time form a time range; and determining tolerance updating data of any biological aerosol under the biological activity influence factors corresponding to any biological activity influence parameter group based on the influence factor data, updating any biological activity influence parameter group based on the determined tolerance updating data to obtain an updated biological activity influence parameter group corresponding to any biological activity influence parameter group, and taking the updated biological activity influence parameter group as an updated biological activity influence parameter group corresponding to any biological aerosol to obtain an updated biological activity influence parameter group corresponding to any biological aerosol. Based on this, target bio-diffusion data for each of the N bio-aerosols may be determined based on the meteorological data, the updated set of bio-activity affecting parameters corresponding to each bio-aerosol, and the attenuated bio-diffusion data for each bio-aerosol. According to the embodiment of the invention, the influence of the biological activity influence factors on the particle concentration can be realized through the biological activity influence parameter set, namely, the activity change condition of the biological aerosol under each biological activity influence factor can be considered in the diffusion simulation process, so that the biological aerosol is subjected to diffusion simulation under the condition of considering the biological aerosol activity change, and the accuracy of the target particle concentration is improved. In addition, the embodiment of the invention can update the corresponding biological activity influence parameter set of the biological aerosol to realize the update of the biological aerosol tolerance, so that the tolerance of the biological aerosol increases with the reduction of the particle concentration (such as the increase of the maximum proper temperature or the decrease of the minimum proper humidity to increase the tolerance), thereby leading the tolerance of the biological aerosol to be more close to the actual tolerance, and describing the activity change condition of the biological aerosol more accurately, thereby further improving the accuracy of the concentration of target particles.

Based on the description of the related embodiments of the bioaerosol diffusion simulation method, the embodiments of the present invention also provide a bioaerosol diffusion simulation apparatus, which may be a computer program (including program code) running in an electronic device; as shown in fig. 5, the bioaerosol diffusion simulation apparatus may include an acquisition unit 501 and a processing unit 502. The bioaerosol diffusion simulation apparatus may perform the bioaerosol diffusion simulation method shown in fig. 1 or fig. 4, i.e., the bioaerosol diffusion simulation apparatus may operate the above units:

an obtaining unit 501, configured to obtain meteorological data and configuration data within a target time range, where the configuration data includes an initial bioactivity influence parameter set under each bioactivity influence factor in at least one bioactivity influence factor, where the initial bioactivity influence parameter set under each bioactivity influence factor is used to initialize a bioactivity influence parameter set corresponding to the released bioaerosol;

the processing unit 502 is configured to determine, based on the meteorological data, to-be-attenuated bio-diffusion data of each of M bio-aerosols, where one to-be-attenuated bio-diffusion data includes an active to-be-attenuated concentration of the corresponding bio-aerosol, and M is a positive integer;

The processing unit 502 is further configured to perform concentration attenuation on the active concentration to be attenuated in the biological diffusion data to be attenuated of the corresponding biological aerosol based on the biological activity influence parameter set corresponding to each biological aerosol, so as to obtain attenuated biological diffusion data of each biological aerosol, where one attenuated biological diffusion data includes the active attenuated concentration of the corresponding biological aerosol;

the processing unit 502 is further configured to update the bioactivity influence parameter set corresponding to the corresponding bioaerosol based on tolerance update data of the bioaerosol under the bioactivity influence factors, to obtain an updated bioactivity influence parameter set corresponding to the bioaerosol, where any updated bioactivity influence parameter set is used for concentration attenuation of the subsequent corresponding bioaerosol;

the processing unit 502 is further configured to determine target bio-diffusion data of each of the N bio-aerosols based on the meteorological data, the updated set of bio-activity influencing parameters corresponding to each of the bio-aerosols, and the attenuated bio-diffusion data of each of the N bio-aerosols, where one target bio-diffusion data includes a target particle concentration of the corresponding bio-aerosol in the target time range, and N is a positive integer.

In one embodiment, when updating the bioactive influence parameter set corresponding to the corresponding bioaerosol based on the tolerance update data of the bioaerosol under the bioactive influence factors, the processing unit 502 may be specifically configured to:

for any one of the M bioaerosols and any one of the bioactive influence parameter sets corresponding to the any one of the M bioaerosols, determining influence factor data of bioactive influence factors corresponding to the any one of the bioactive influence parameter sets within a historical time range based on the meteorological data, wherein the historical time range refers to: the time range formed by the current system time and the released time of any biological aerosol;

determining tolerance updating data of any biological aerosol under the biological activity influence factors corresponding to the biological activity influence parameter groups based on the influence factor data;

updating the any biological activity influence parameter set based on the determined tolerance updating data to obtain an updated biological activity influence parameter set corresponding to the any biological activity influence parameter set, and taking the updated biological activity influence parameter set as one updated biological activity influence parameter set corresponding to the any biological aerosol to obtain an updated biological activity influence parameter set corresponding to the any biological aerosol.

In another embodiment, if the biological activity impact factor corresponding to the any biological activity impact parameter set is temperature, the determined tolerance update data is determined based on a maximum value in the impact factor data; and if the biological activity influence factor corresponding to any biological activity influence parameter group is humidity, determining tolerance updating data based on the minimum value in the influence factor data.

In another embodiment, when any one of the biological activity influencing parameter sets includes tolerance data under a corresponding biological activity influencing factor and a preset survival threshold, the processing unit 502 updates the any one of the biological activity influencing parameter sets based on the determined tolerance update data to obtain an updated biological activity influencing parameter set corresponding to the any one of the biological activity influencing parameter sets, the processing unit may be specifically configured to:

updating tolerance data in any biological activity influence parameter group based on the determined tolerance updating data to obtain an updated biological activity influence parameter group corresponding to the any biological activity influence parameter group, wherein the updated biological activity influence parameter group comprises the determined tolerance updating data and the preset survival threshold;

Wherein the particle concentration of any one of the bioaerosols varies as a function of the corresponding biological activity affecting factor of the any one of the biological activity affecting parameter sets between the determined tolerance update data and the preset survival threshold.

In another embodiment, the configuration data further includes a discharge list, the M bioaerosols being released based on the discharge list; the processing unit 502 may be specifically configured to, when determining the target bio-diffusion data of each of the N bio-aerosols based on the meteorological data, the updated bio-activity influence parameter set corresponding to each of the bio-aerosols, and the attenuated bio-diffusion data of each of the bio-aerosols:

determining biological diffusion data of the corresponding biological aerosols based on the attenuated biological diffusion data of the respective biological aerosols, respectively, and taking updated biological activity influence parameter sets corresponding to the respective biological aerosols as corresponding biological activity influence parameter sets of the corresponding biological aerosols, respectively;

determining bio-diffusion data for each of P bio-aerosols based on the emission list and the bio-diffusion data for the respective bio-aerosols, the P bio-aerosols including Q bio-aerosols of the M bio-aerosols and at least one bio-aerosol other than the M bio-aerosols being released, P and Q each being a positive integer;

Determining a corresponding set of biological activity influencing parameters for each of the P biological aerosols based on the initial set of biological activity influencing parameters for each biological activity influencing factor and the corresponding set of biological activity influencing parameters for each biological aerosol;

based on the meteorological data, the biological diffusion data of each of the P biological aerosols, and the set of biological activity influencing parameters corresponding to each of the P biological aerosols, attenuated biological diffusion data of each of the P biological aerosols and the set of updated biological activity influencing parameters corresponding to each of the P biological aerosols are determined to determine target biological diffusion data of each of the N biological aerosols.

In another embodiment, when the processing unit 502 performs concentration attenuation on the active to-be-attenuated concentration in the to-be-attenuated bio-diffusion data of the respective bioaerosols based on the corresponding bioactive influence parameter sets of the respective bioaerosols, to obtain the attenuated bio-diffusion data of the respective bioaerosols, the processing unit may be specifically configured to:

traversing each biological activity influence parameter set in biological activity influence parameter sets corresponding to the M-th biological aerosol aiming at the M-th biological aerosol, and taking the biological activity influence parameter set which is traversed currently as a current biological activity influence parameter set, wherein the current biological activity influence parameter set comprises current tolerance data under a current biological activity influence factor and a current preset survival threshold value, and M is [1, M ];

Calculating the intermediate particle concentration of the mth biological aerosol based on the current tolerance data, the current preset survival threshold value and the activity to-be-attenuated concentration in the biological diffusion data to be attenuated of the mth biological aerosol, and taking the intermediate particle concentration as the activity to-be-attenuated concentration of the mth biological aerosol;

after traversing each biological activity influence parameter set in the biological activity influence parameter set corresponding to the mth biological aerosol, taking the concentration to be attenuated of the activity of the mth biological aerosol as the attenuated concentration of the activity of the mth biological aerosol so as to realize concentration attenuation of the concentration to be attenuated of the activity of the mth biological aerosol, and obtaining attenuated biological diffusion data of the mth biological aerosol.

In another embodiment, one bio-diffusion data comprises particle concentration and particle location information of the corresponding bio-aerosol, and the processing unit 502 is further operable to:

determining a display position of each of the N bioaerosols in a display area based on the particle position information in the target biodiffusion data of each of the N bioaerosols;

And displaying each biological aerosol in the N biological aerosols according to the display position of each biological aerosol in the display area, and outputting the target particle concentration of each biological aerosol in the N biological aerosols.

According to one embodiment of the invention, the steps involved in the method of fig. 1 or 4 may be performed by the various units in the bioaerosol diffusion simulation apparatus of fig. 5. For example, step S101 shown in fig. 1 may be performed by the acquisition unit 501 shown in fig. 5, and steps S102 to S105 may each be performed by the processing unit 502 shown in fig. 5. As another example, step S401 shown in fig. 4 may be performed by the acquisition unit 501 shown in fig. 5, steps S402 to S407 may each be performed by the processing unit 502 shown in fig. 5, and so on.

According to another embodiment of the present invention, each unit in the bioaerosol diffusion simulation apparatus shown in fig. 5 may be separately or completely combined into one or several additional units, or some unit(s) thereof may be further divided into a plurality of units having smaller functions, which may achieve the same operation without affecting the achievement of the technical effects of the embodiments of the present invention. The above units are divided based on logic functions, and in practical applications, the functions of one unit may be implemented by a plurality of units, or the functions of a plurality of units may be implemented by one unit. In other embodiments of the invention, any bioaerosol diffusion simulation device may also include other units, and in actual practice, these functions may also be facilitated by other units and may be cooperatively implemented by a plurality of units.

According to another embodiment of the present invention, a bioaerosol diffusion simulation apparatus as shown in fig. 5 may be constructed by running a computer program (including program code) capable of executing the steps involved in the respective methods as shown in fig. 1 or fig. 4 on a general-purpose electronic device such as a computer including a processing element such as a Central Processing Unit (CPU), a random access storage medium (RAM), a read-only storage medium (ROM), and the like, and a storage element, and a bioaerosol diffusion simulation method of an embodiment of the present invention is implemented. The computer program may be recorded on, for example, a computer storage medium, and loaded into and run in the above-described electronic device through the computer storage medium.

Based on the description of the method embodiment and the apparatus embodiment, the exemplary embodiment of the present invention further provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor for causing the electronic device to perform a method according to an embodiment of the invention when executed by the at least one processor.

The exemplary embodiments of the present invention also provide a non-transitory computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform a method according to an embodiment of the present invention.

The exemplary embodiments of the invention also provide a computer program product comprising a computer program, wherein the computer program, when being executed by a processor of a computer, is for causing the computer to perform a method according to an embodiment of the invention.

Referring to fig. 6, a block diagram of an electronic device 600 that may be a server or a client of the present invention will now be described, which is an example of a hardware device that may be applied to aspects of the present invention. Electronic devices are intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 6, the electronic device 600 includes a computing unit 601 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 may also be stored. The computing unit 601, ROM 602, and RAM 603 are connected to each other by a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

A number of components in the electronic device 600 are connected to the I/O interface 605, including: an input unit 606, an output unit 607, a storage unit 608, and a communication unit 609. The input unit 606 may be any type of device capable of inputting information to the electronic device 600, and the input unit 606 may receive input numeric or character information and generate key signal inputs related to user settings and/or function controls of the electronic device. The output unit 607 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, video/audio output terminals, vibrators, and/or printers. Storage unit 608 may include, but is not limited to, magnetic disks, optical disks. The communication unit 609 allows the electronic device 600 to exchange information/data with other devices through a computer network, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth (TM) devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.

The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above. For example, in some embodiments, the bioaerosol diffusion simulation method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 600 via the ROM 602 and/or the communication unit 609. In some embodiments, the computing unit 601 may be configured to perform the bioaerosol diffusion simulation method by any other suitable means (e.g., by means of firmware).

Program code for carrying out methods of the present invention may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

It is also to be understood that the foregoing is merely illustrative of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.

Claims

1. A bioaerosol diffusion simulation method, comprising:

2. The method according to claim 1, wherein updating the set of biological activity influencing parameters corresponding to the respective biological aerosol based on the tolerance update data of the respective biological aerosol under the respective biological activity influencing factor, respectively, to obtain the updated set of biological activity influencing parameters corresponding to the respective biological aerosol, comprises:

3. The method of claim 2, wherein if the corresponding biological activity impact factor for any of the set of biological activity impact parameters is temperature, the determined tolerance update data is determined based on a maximum value in the impact factor data; and if the biological activity influence factor corresponding to any biological activity influence parameter group is humidity, determining tolerance updating data based on the minimum value in the influence factor data.

4. The method according to claim 2, wherein the any one of the biological activity influencing parameter sets includes tolerance data under corresponding biological activity influencing factors and a preset survival threshold, the updating the any one of the biological activity influencing parameter sets based on the determined tolerance updating data to obtain an updated biological activity influencing parameter set corresponding to the any one of the biological activity influencing parameter sets, including:

5. The method of any one of claims 1-4, wherein the configuration data further comprises a discharge list, the M bioaerosols being released based on the discharge list; the determining target bio-diffusion data for each of the N bio-aerosols based on the meteorological data, the updated set of bio-activity affecting parameters corresponding to the respective bio-aerosol, and the attenuated bio-diffusion data for the respective bio-aerosol comprises:

6. The method according to any one of claims 1-4, wherein the performing concentration decay on the active to-be-decayed concentration in the to-be-decayed bio-diffusion data of the respective bio-aerosol based on the corresponding set of bio-activity influencing parameters of the respective bio-aerosol, respectively, to obtain the decayed bio-diffusion data of the respective bio-aerosol, comprises:

7. The method of any one of claims 1-4, wherein one bio-diffusion data comprises particle concentration and particle location information of a corresponding bio-aerosol, the method further comprising:

8. A bioaerosol diffusion simulation apparatus, the apparatus comprising:

9. An electronic device, comprising:

a processor; and

a memory in which a program is stored,

wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the method according to any of claims 1-7.

10. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1-7.