Environmental quality evaluation method, system, device and electronic equipment

By collecting environmental quality and flow of people in large venues, and combining building and equipment information for environmental assessment and risk estimates, the problem of the inability to conduct risk assessment and environmental prevention and control in the existing technology is solved, and more efficient place management and environmental safety guarantees are achieved.

CN114781892BActive Publication Date: 2025-05-13BEIJING THUPDI PLANNING DESIGN INST
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Patent Information

Application Number
CN202210463613.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-04-28
Publication Date
2025-05-13
Estimated Expiration
2042-04-28

AI Technical Summary

Technical Problem

The existing technology cannot achieve risk assessment and early warning of large venues and cannot meet the environmental prevention and control needs of venues in the event of major public health emergencies.

Method used

Data is collected through environmental quality data sensors and people flow data acquisition sensors, and environmental assessment and risk estimates are carried out in combination with the building information and equipment configuration information of the site.

Benefits of technology

A comprehensive evaluation and risk warning of the environment in the place has been achieved, and the management efficiency and environmental safety guarantee of the place have been improved.

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Abstract

The present invention discloses an environmental quality evaluation method, system, device and electronic equipment. The environmental quality evaluation method is applied to an environmental quality evaluation system. The environmental quality evaluation system includes an environmental quality data sensor and a human flow data acquisition sensor, and includes: receiving environmental quality data and human flow data in a place uploaded by the environmental quality data sensor and the human flow data acquisition sensor; acquiring building information of the place and equipment configuration information in the place; and performing environmental evaluation and risk prediction in the place according to the environmental quality data, human flow data, building information of the place and equipment configuration information in the place.
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Description

Technical Field

[0001] The present invention relates to the technical field of environmental frequency measurement, and in particular to an environmental quality evaluation method, system, device and electronic equipment. Background Art

[0002] Large venues have complex spaces, high crowd density, and high environmental safety risks. Therefore, it is particularly important to establish an environmental safety guarantee mechanism in the venue. Most existing environmental evaluation systems for large venues use independent parameter indicators in the same space for evaluation. However, different environmental parameters affect each other. This method cannot make an accurate evaluation of environmental quality. In addition, existing technologies cannot achieve risk assessment and early warning for large venues, and cannot meet the needs of venue environmental prevention and control in the event of major public health emergencies. Summary of the invention

[0003] Therefore, the technical problem to be solved by the present invention is to overcome the defects of the prior art that it is unable to realize risk assessment and early warning for large venues and cannot meet the venue environmental prevention and control needs in the event of major public health emergencies, thereby providing an environmental quality evaluation method, system, device and electronic equipment.

[0004] According to the first aspect, an embodiment of the present invention discloses an environmental quality evaluation method, which is applied to an environmental quality evaluation system, wherein the environmental quality evaluation system includes an environmental quality data sensor and a human flow data collection sensor, and includes: receiving environmental quality data and human flow data in a venue uploaded by the environmental quality data sensor and the human flow data collection sensor; obtaining building information of the venue and equipment configuration information in the venue; and performing environmental evaluation and risk assessment in the venue based on the environmental quality data, human flow data, building information of the venue, and equipment configuration information in the venue.

[0005] Optionally, the pedestrian flow data collection sensor includes a camera; and the environmental evaluation in the venue based on the environmental quality data, pedestrian flow data, and the building information and equipment configuration information in the venue includes: obtaining image data of people in the venue collected by the camera; identifying human behavior in the image data of people in the venue according to a first preset recognition model; and analyzing and evaluating the ambient temperature of the venue based on the behavior recognition results.

[0006] Optionally, the pedestrian flow data collection sensor includes a camera; and the environmental evaluation in the venue based on the environmental quality data, the pedestrian flow data, the building information of the venue, and the equipment configuration information in the venue also includes: obtaining image data of people in the venue collected by the camera; identifying the number of people contained in the image data of people in the venue according to a second preset recognition model; and analyzing and evaluating the air quality parameters of the venue based on the recognition results.

[0007] Optionally, after performing environmental evaluation and risk prediction in the venue based on the environmental quality data, human flow data, building information of the venue, and equipment configuration information in the venue, the method further includes: sending the results of environmental evaluation and risk prediction in the venue to a terminal for display.

[0008] According to the second aspect, an embodiment of the present invention also discloses an environmental quality evaluation system, including: an environmental quality data sensor, used to collect environmental quality data in a place; a pedestrian flow data collection sensor, used to collect pedestrian flow data in the place; a processor, which is communicatively connected to the environmental quality data sensor and the pedestrian flow data collection sensor, and is used to execute the environmental quality evaluation method as described in the first aspect or any optional embodiment of the first aspect.

[0009] According to the third aspect, an embodiment of the present invention also discloses an environmental quality assessment system, including: an environmental quality data sensor, used to collect environmental quality data in a place; a pedestrian flow data collection sensor, used to collect pedestrian flow data in a place; a server, which is communicated with the environmental quality data sensor and the pedestrian flow data sensor through a gateway device, and is used to execute the environmental quality assessment method described in the first aspect or any optional implementation method of the first aspect; a software platform, which is communicated with the server, and is used to display environmental evaluation and risk assessment results.

[0010] Optionally, the environmental quality data sensor includes: at least one of an environmental sensor and an ambient light sensor.

[0011] Optionally, the human flow data collection sensor includes at least one of an infrared sensor and a camera.

[0012] According to the fourth aspect, an embodiment of the present invention also discloses an environmental quality evaluation device, which is applied to an environmental quality evaluation system. The environmental quality evaluation system includes an environmental quality data sensor and a pedestrian flow data acquisition sensor, including: a receiving module, used to receive the environmental quality data and pedestrian flow data in a venue uploaded by the environmental quality data sensor and the pedestrian flow data acquisition sensor; a first acquisition module, used to acquire the building information of the venue and the equipment configuration information in the venue; an evaluation module, used to perform environmental evaluation and risk assessment in the venue based on the environmental quality data, pedestrian flow data, the building information of the venue and the equipment configuration information in the venue.

[0013] According to the fifth aspect, an embodiment of the present invention also discloses an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor performs the steps of the environmental quality assessment method as described in the first aspect or any optional embodiment of the first aspect.

[0014] The technical solution of the present invention has the following advantages:

[0015] The environmental quality evaluation method / device provided by the present invention is applied to an environmental quality evaluation system, wherein the environmental quality evaluation system includes an environmental quality data sensor and a human flow data collection sensor, and includes: receiving the environmental quality data and human flow data in a place uploaded by the environmental quality data sensor and the human flow data collection sensor; obtaining the building information of the place and the equipment configuration information in the place; and performing environmental evaluation and risk prediction in the place according to the environmental quality data, human flow data, and the building information and equipment configuration information in the place. The method of the present invention, by receiving the environmental quality data and human flow data of the place and obtaining the building information and equipment configuration information of the place, and performing environmental evaluation and risk prediction in the place according to the acquired information, can not only realize a comprehensive evaluation of the environment in the place, but also predict the trend of environmental changes in the place, and evaluate the probability of risks occurring in the place, thereby improving the management efficiency of the place. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1A flowchart of a specific example of the environmental quality evaluation method in an embodiment of the present invention;

[0018] Figure 2 is a specific example principle block diagram of the environmental quality evaluation system in an embodiment of the present invention;

[0019] Figure 3 is a specific example principle block diagram of the environmental quality evaluation system in an embodiment of the present invention;

[0020] Figure 4 is a principle block diagram of a specific example of an environmental quality assessment device in an embodiment of the present invention;

[0021] Figure 5 FIG. 4 is a specific example diagram of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0024] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, it can also be the internal connection of two components, it can be a wireless connection, or it can be a wired connection. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0026] The embodiment of the present invention discloses an environmental quality evaluation method, which is applied to an environmental quality evaluation system. The environmental quality evaluation system includes an environmental quality data sensor and a human flow data collection sensor. In the embodiment of the present application, the environmental quality evaluation of a large venue is taken as an example to describe the environmental quality evaluation method recorded in the present application. Figure 1 As shown, the method comprises the following steps:

[0027] Step 101, receiving the environment quality data and the human flow data in the venue uploaded by the environment quality data sensor and the human flow data collection sensor.

[0028] Exemplarily, the environmental sensor is used to collect environmental quality data in the venue, and the human flow data collection sensor is used to collect human flow data in the venue. Specifically, the environmental quality data may include but is not limited to temperature, humidity, carbon dioxide concentration, PM2.5\PM10 particle concentration, volatile organic compounds (VOC), illumination and color temperature data in the venue, and the human flow data includes but is not limited to the number of people flowing in the venue.

[0029] Step 102: Acquire the building information of the site and the equipment configuration information in the site.

[0030] Exemplarily, the building information of the venue may include but is not limited to building area information, floor plan information, building volume information, location information, and usage type information; the equipment configuration information within the venue may include but is not limited to equipment parameter information within the venue (air-conditioning terminals, fresh air units, purification units, etc.).

[0031] Step 103 , performing environmental evaluation and risk prediction in the venue based on the environmental quality data, the human flow data, the building information of the venue, and the equipment configuration information in the venue.

[0032] Exemplarily, the environment of the venue is evaluated and risk is estimated based on the received environmental quality data, human flow data, and the acquired building information and equipment configuration information of the venue. Specifically, the environment of a large venue is comprehensively evaluated based on a single indicator or multiple environmental parameters according to the environmental quality data, and real-time monitoring of temperature, humidity, PM2.5, CO2 (carbon dioxide), and VOC (volatile organic compounds) is achieved. Direct evaluation is performed based on a single indicator of environmental data in a large venue, for example: PM2.5 ≤ 35 μg / m 3, particulate pollutants are evaluated as excellent; CO2≤800ppm, indoor air freshness is evaluated as excellent, and a comprehensive evaluation of the indoor environment can also be performed based on multiple environmental parameters. For example, the indoor comfort evaluation index is based on the overall evaluation of temperature and humidity; the number of people in a large venue is determined based on the flow of people data, and the trend of environmental changes in the venue (for example, changes in carbon dioxide concentration and temperature) is predicted based on changes in the number of people; a comprehensive analysis of the carbon dioxide concentration and aerosol concentration in the air, combined with flow data, building information of the venue, and equipment configuration information in the venue, combined with the "Wells-Riley air transmission model", is proposed. An environmental carrying capacity evaluation model suitable for large venues is proposed to calculate the probability of virus transmission risk in the room, the recommended maximum number of people, etc. The "Wells-Riley air transmission model" is shown in the following formula:

[0033]

[0034] Where: P is the probability of infection, dimensionless; I is the number of infected people, in units of people, here it is assumed to be 1 person; q is the quanta (quantum) generation rate of the infected person, which is h -1 ; p is the average lung ventilation rate, in m3 / h. The average respiratory rate of light indoor activities is 0.36 m3 / h; t is the exposure time, in h, which is 2 h; θ I is the penetration rate of virus carriers wearing masks, dimensionless, when θ I =1, indicating no mask; θ S is the penetration rate of susceptible people wearing masks, dimensionless, when θ S =1, it means not wearing a mask; Q is the clean air volume in the room, in m3 / h. Combining the theoretical model with the air volume and filtration efficiency of the actually installed purification equipment and fresh air equipment, the average infection probability of each room under different number of people can be calculated, thereby realizing the calculation of the room's carrying capacity model.

[0035] The environmental quality evaluation method provided by the present invention is applied to an environmental quality evaluation system, wherein the environmental quality evaluation system includes an environmental quality data sensor and a human flow data collection sensor, and includes: receiving the environmental quality data and human flow data in a place uploaded by the environmental quality data sensor and the human flow data collection sensor; obtaining the building information of the place and the equipment configuration information in the place; and performing environmental evaluation and risk prediction in the place according to the environmental quality data, human flow data, the building information of the place, and the equipment configuration information in the place. The method of the present invention, by receiving the environmental quality data and human flow data of the place and obtaining the building information and the equipment configuration information in the place, and performing environmental evaluation and risk prediction in the place according to the acquired information, can not only realize a comprehensive evaluation of the environment in the place, but also predict the trend of environmental changes in the place, and evaluate the probability of risks occurring in the place, thereby improving the management efficiency of the place.

[0036] As an optional embodiment of the present invention, the pedestrian flow data collection sensor includes a camera; the environmental evaluation in the venue based on the environmental quality data, the pedestrian flow data, the building information of the venue and the equipment configuration information in the venue includes: obtaining image data of people in the venue collected by the camera; identifying human behavior in the image data of people in the venue according to a first preset recognition model; and analyzing and evaluating the ambient temperature of the venue according to the behavior recognition result.

[0037] Exemplarily, the human flow data collection sensor may include a camera, which may be a camera with human behavior recognition and human flow statistics functions, and the first preset recognition model is a model that can recognize human actions in an image, recognize human behavior based on human image information collected by the camera, and analyze the ambient temperature in the room based on human behavior. Specifically, the first preset recognition model includes but is not limited to an AI algorithm model, which uses an AI algorithm to recognize human actions in an image, such as wiping sweat, dressing, undressing, sneezing, yawning, etc., so as to analyze environmental information such as heat or cold, and air freshness in a large venue.

[0038] As an optional embodiment of the present invention, the pedestrian flow data collection sensor includes a camera; the environmental evaluation in the venue based on the environmental quality data, pedestrian flow data, building information of the venue and equipment configuration information in the venue also includes: obtaining image data of people in the venue collected by the camera; identifying the number of people contained in the image data of people in the venue according to a second preset recognition model; and analyzing and evaluating the air quality parameters of the venue based on the recognition results.

[0039] Exemplarily, the second preset recognition model can identify the number of people in the image, identify the number of people contained in the image data of people in the venue, and analyze and evaluate the air quality in the venue based on the recognition result. Specifically, the second preset recognition model may include but is not limited to an AI algorithm model, which uses the second preset recognition model to identify the collected image data of people in a large venue to determine the number of people in the venue, and predict the trend of environmental changes in the venue (for example, changes in carbon dioxide concentration and temperature) based on the number of people.

[0040] As an optional embodiment of the present invention, after performing environmental evaluation and risk prediction in the venue based on the environmental quality data, human flow data, building information of the venue, and equipment configuration information in the venue, the method further includes: sending the environmental evaluation and risk prediction results in the venue to a terminal for display.

[0041] The embodiment of the present invention also discloses an environmental quality evaluation system, such as Figure 2 As shown, the system includes: an environmental quality data sensor 201, used to collect environmental quality data in a place; a human flow data collection sensor 202, used to collect human flow data in a place; a processor 203, which is communicatively connected with the environmental quality data sensor and the human flow data collection sensor, and is used to execute the environmental quality evaluation method.

[0042] Exemplarily, the processor is communicatively connected with the environment quality data sensor and the human flow data collection sensor, receives the environment quality data and human flow data and implements the evaluation of the environment quality.

[0043] The environmental quality evaluation system provided by the present invention includes: an environmental quality data sensor for collecting environmental quality data in a place; a human flow data collection sensor for collecting human flow data in a place; and a processor, which is in communication connection with the environmental quality data sensor and the human flow data collection sensor, and is used to execute the environmental quality evaluation method. The system of the present invention uses the environmental quality data in the place collected by the environmental quality data sensor and the human flow data in the place collected by the human flow data collection sensor, and the processor environmental quality data sensor and the human flow data sensor are in communication connection, and the environmental quality evaluation method is used to implement environmental evaluation and risk prediction, which can not only realize the comprehensive evaluation of the environment in the place, but also predict the trend of environmental changes in the place, and evaluate the probability of risks occurring in the place, thereby improving the management efficiency of the place.

[0044] The embodiment of the present invention also discloses an environmental quality evaluation system, such as Figure 3As shown, the system includes: an environmental quality data sensor 301, used to collect environmental quality data in a venue; a human flow data collection sensor 302, used to collect human flow data in a venue; a server 303, which is connected to the environmental quality data sensor and the human flow data sensor through a gateway device, and is used to execute the environmental quality evaluation method; a software platform 304, which is connected to the server, and is used to display environmental evaluation and risk assessment results.

[0045] Exemplarily, the gateway device is used to receive sensor data collected by environmental quality data sensors and pedestrian flow data sensors and send the data to the server. The server implements environmental evaluation and risk assessment in the venue through an environmental quality evaluation method, and the software platform presents the environmental evaluation and risk assessment results.

[0046] The environmental quality evaluation system of the present invention includes: an environmental quality data sensor for collecting environmental quality data in a place; a human flow data collection sensor for collecting human flow data in a place; a server, which is connected to the environmental quality data sensor and the human flow data sensor through a gateway device, and is used to execute the environmental quality evaluation method; a software platform, which is connected to the server, and is used to display environmental evaluation and risk prediction results. In the system of the present invention, the gateway device is used to receive sensor data collected by the environmental quality data sensor and the human flow data sensor and send the data to the server. The server implements environmental evaluation and risk prediction in the place through the environmental quality evaluation method. The software platform presents the environmental evaluation and risk prediction results, which can not only realize the comprehensive evaluation of the environment in the place, but also predict the trend of environmental changes in the place, and evaluate the probability of risks occurring in the place, thereby improving the management efficiency of the place.

[0047] As an optional implementation manner of the present invention, the environmental quality data sensor includes: at least one of an environmental sensor and an ambient light sensor.

[0048] Exemplarily, the data collected by the environmental sensors may include but are not limited to temperature, humidity, carbon dioxide concentration, PM2.5\PM10 particle concentration, and volatile organic compounds (VOCs); the data collected by the ambient light sensors may include but are not limited to illumination and color temperature data in the venue.

[0049] As an optional implementation manner of the present invention, the human flow data collection sensor includes: at least one of an infrared sensor and a camera.

[0050] For example, the infrared sensor identifies whether there is movement of people in the room, and the camera can be used to identify the number of people in the room and their behavior.

[0051] The embodiment of the present invention also discloses an environmental quality evaluation device, which is applied to an environmental quality evaluation system. The environmental quality evaluation system includes an environmental quality data sensor and a human flow data collection sensor. Figure 4 As shown, the device includes: a receiving module 501, used to receive the environmental quality data and human flow data in the venue uploaded by the environmental quality data sensor and the human flow data collection sensor; a first acquisition module 502, used to obtain the building information of the venue and the equipment configuration information in the venue; an evaluation module 503, used to perform environmental evaluation and risk assessment in the venue based on the environmental quality data, human flow data, the building information of the venue and the equipment configuration information in the venue.

[0052] The environmental quality evaluation device provided by the present invention includes: a receiving module for receiving the environmental quality data and human flow data in a place uploaded by the environmental quality data sensor and the human flow data collection sensor; a first acquisition module for acquiring the building information of the place and the equipment configuration information in the place; an evaluation module for performing environmental evaluation and risk prediction in the place according to the environmental quality data, human flow data, the building information of the place and the equipment configuration information in the place. By receiving the environmental quality data and human flow data of the place and acquiring the building information and the equipment configuration information in the place, and performing environmental evaluation and risk prediction in the place according to the acquired information, not only can a comprehensive evaluation of the environment in the place be achieved, but also the trend of environmental changes in the place can be predicted, and the probability of risk occurring in the place can be evaluated, thereby improving the management efficiency of the place.

[0053] As an optional embodiment of the present invention, the evaluation module includes: a second acquisition module, used to acquire image data of people in the place captured by the camera; a first recognition module, used to identify human behavior in the image data of people in the place according to a first preset recognition model; and a first analysis module, used to analyze and evaluate the ambient temperature of the place based on the behavior recognition results.

[0054] As an optional embodiment of the present invention, the evaluation module also includes: a third acquisition module, used to obtain the image data of people in the place captured by the camera; a second recognition module, used to identify the number of people contained in the image data of people in the place according to a second preset recognition model; and a second analysis module, used to analyze and evaluate the air quality parameters of the place according to the recognition results.

[0055] As an optional implementation of the present invention, the device further includes: a display module, which is used to send the environmental evaluation and risk prediction results in the venue to a terminal for display.

[0056] The embodiment of the present invention further provides an electronic device, such as Figure 5 As shown, the electronic device may include a processor 401 and a memory 402, wherein the processor 401 and the memory 402 may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0057] The processor 401 may be a central processing unit (CPU). The processor 401 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0058] The memory 402 is a non-transient computer-readable storage medium that can be used to store non-transient software programs, non-transient computer executable programs and modules, such as program instructions / modules corresponding to the environmental quality assessment method in the embodiment of the present invention. The processor 401 executes various functional applications and data processing of the processor by running the non-transient software programs, instructions and modules stored in the memory 402, that is, the environmental quality assessment method in the above method embodiment is implemented.

[0059] The memory 402 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required by at least one function; the data storage area may store data created by the processor 401, etc. In addition, the memory 402 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 402 may optionally include a memory remotely arranged relative to the processor 401, and these remote memories may be connected to the processor 401 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0060] The one or more modules are stored in the memory 402, and when executed by the processor 401, the following is performed: Figure 1 The environmental quality assessment method in the illustrated embodiment.

[0061] For details of the above electronic equipment, please refer to Figure 1 The corresponding related descriptions and effects in the illustrated embodiments can be understood and will not be repeated here.

[0062] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0063] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. An environmental quality evaluation method, applied to an environmental quality evaluation system, wherein the environmental quality evaluation system comprises an environmental quality data sensor and a human flow data collection sensor, and is characterized in that: include: Receive the environmental quality data and human flow data in the venue uploaded by the environmental quality data sensor and the human flow data collection sensor, the environmental quality data including temperature, humidity, carbon dioxide concentration, PM2.5 and PM10 particle concentration, volatile organic compounds, illumination and color temperature data in the venue, and the human flow data including the number of people flowing in the venue; Obtaining the building information of the venue and the equipment configuration information in the venue, the building information of the venue includes building area information, floor plan information, building volume information, location information, and usage type information, and the equipment configuration information in the venue includes equipment parameter information of the air conditioning terminal, fresh air unit, and purification unit in the venue; Conducting environmental evaluation and risk assessment in the venue based on the environmental quality data, human flow data, building information of the venue, and equipment configuration information in the venue; The step of performing environmental evaluation and risk assessment in the venue according to the environmental quality data, the human flow data, the building information of the venue, and the equipment configuration information in the venue includes: Through comprehensive analysis of the carbon dioxide concentration in the air, aerosol concentration, human flow data, building information of the venue, and equipment configuration information in the venue, combined with the air transmission model, the probability of virus transmission risk in the room and the recommended maximum number of people are calculated. The air transmission model is shown in the following formula: Among them: P is the probability of infection, dimensionless; I is the number of infected people, the unit is person, which is 1 person; q is the quantum generation rate of infected people, which is ; p is the average lung ventilation rate, in m 3 / h, the average respiratory rate for light indoor activities is 0.36m 3 / h; t is the exposure time, in h, and is taken as 2h; The penetration rate of masks worn by virus carriers is dimensionless. =1, indicating no mask; is the penetration rate of masks worn by susceptible people, dimensionless, when =1, indicating no mask is worn; Q is the clean air volume in the room, in m 3 / h; Based on the air transmission model and the air volume and filtration efficiency of the actually installed purification equipment and fresh air equipment, the average infection probability of each room under different number of people is calculated.

2. The method according to claim 1, characterized in that The human flow data collection sensor includes a camera; the environmental evaluation of the site based on the environmental quality data, human flow data, building information of the site, and equipment configuration information in the site includes: Acquire image data of people in the place collected by the camera; Identify the behavior of people in the image data of people in the venue according to the first preset recognition model; The ambient temperature of the place is analyzed and evaluated based on the behavior recognition results.

3. The method according to claim 1, characterized in that The human flow data collection sensor includes a camera; the environmental evaluation of the site based on the environmental quality data, human flow data, building information of the site and equipment configuration information in the site also includes: Acquire image data of people in the place collected by the camera; Identify the number of persons included in the person image data in the venue according to a second preset recognition model; Based on the identification results, the air quality parameters of the venue are analyzed and evaluated.

4. The method according to claim 1, characterized in that After performing the environmental evaluation and risk assessment in the venue according to the environmental quality data, the human flow data, the building information of the venue, and the equipment configuration information in the venue, the method further includes: The environmental assessment and risk assessment results of the site are sent to the terminal for display.

5. An environmental quality evaluation system, characterized in that: include: Environmental quality data sensors, used to collect environmental quality data within the venue; A human flow data collection sensor is used to collect human flow data in a venue; A processor is communicatively connected to the environmental quality data sensor and the human flow data collection sensor, and is used to execute the environmental quality evaluation method as described in any one of claims 1 to 4.

6. An environmental quality evaluation system, characterized in that: include: Environmental quality data sensors, used to collect environmental quality data within the venue; A human flow data collection sensor is used to collect human flow data in a venue; A server, which is connected to the environmental quality data sensor and the human flow data collection sensor through a gateway device, and is used to execute the environmental quality evaluation method according to any one of claims 1 to 4; The software platform is connected to the server for displaying the environmental assessment and risk prediction results.

7. The system according to claim 5 or 6, characterized in that: The environmental quality data sensor includes: an environmental sensor.

8. The system according to claim 5 or 6, characterized in that: The human flow data collection sensor includes at least one of an infrared sensor and a camera.

9. An environmental quality evaluation device, applied to an environmental quality evaluation system, the environmental quality evaluation system comprising an environmental quality data sensor and a human flow data collection sensor, characterized in that: include: A receiving module, used to receive the environmental quality data and human flow data in the venue uploaded by the environmental quality data sensor and the human flow data collection sensor, the environmental quality data including temperature, humidity, carbon dioxide concentration, PM2.5 and PM10 particle concentration, volatile organic compounds, illumination and color temperature data in the venue, and the human flow data including the number of people flowing in the venue; The first acquisition module is used to acquire the building information of the venue and the equipment configuration information in the venue. The building information of the venue includes building area information, floor plan information, building volume information, location information, and usage type information. The equipment configuration information in the venue includes equipment parameter information of air-conditioning terminals, fresh air units, and purification units in the venue; An evaluation module, used to evaluate the environment and estimate risks in the venue based on the environmental quality data, the human flow data, the building information of the venue, and the equipment configuration information in the venue; The step of performing environmental evaluation and risk assessment in the venue according to the environmental quality data, the human flow data, the building information of the venue, and the equipment configuration information in the venue includes: Through comprehensive analysis of the carbon dioxide concentration in the air, aerosol concentration, human flow data, building information of the venue, and equipment configuration information in the venue, combined with the air transmission model, the probability of virus transmission risk in the room and the recommended maximum number of people are calculated. The air transmission model is shown in the following formula: Among them: P is the probability of infection, dimensionless; I is the number of infected people, the unit is person, which is 1 person; q is the quantum generation rate of infected people, which is ; p is the average lung ventilation rate, in m 3 / h, the average respiratory rate for light indoor activities is 0.36m 3 / h; t is the exposure time, in h, and is taken as 2h; The penetration rate of masks worn by virus carriers is dimensionless. =1, indicating no mask; is the penetration rate of masks worn by susceptible people, dimensionless, when =1, indicating no mask is worn; Q is the clean air volume in the room, in m 3 / h; Based on the air transmission model and the air volume and filtration efficiency of the actually installed purification equipment and fresh air equipment, the average infection probability of each room under different number of people is calculated.

10. An electronic device, characterized in that: include: at least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor performs the steps of the environmental quality assessment method as described in any one of claims 1-4.

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