Computer-implemented method and system for determining comfort index of personnel in space area

Abstract

The invention discloses a computer-implemented method and system for determining a comfort index of a person in a space region, and the system comprises an identification module, a monitoring module, a calculation module, a comprehensive module and a control module, and the system obtains monitoring data of a target space region at a current stage; calculating a single comfort index of the target space region at the current stage according to the acquired monitoring data; and according to the single comfort index, comprehensively calculating to obtain the comfort index of the personnel in the target space area at the current stage. By means of the method, the health and comfort degree of air quality, the building environment and the building space can be rapidly detected, the physiological and psychological health degree of the personnel is calculated, and therefore the health and comfort conditions of the personnel in the space area and the learning and working efficiency of the personnel are comprehensively judged; therefore, a user is helped to know whether the health and comfort degree of the use space is suitable for work, study and rest or not in real time, and control and treatment are carried out in time.

Description

Technical Field

[0001] The present invention relates to the technical field of calculating the comfort index of personnel in a building space area, and particularly to a method and system for determining the comfort index of personnel in a space area implemented by a computer. Background Art

[0002] Air pollutants, the number of indoor microorganisms, the building environment, and the building space will all affect the physical and mental health and comfort level of indoor personnel. The air quality, building environment, and building space will also affect the physiological signs and mental health of personnel, thereby affecting the work efficiency and learning efficiency of personnel in the space area.

[0003] Currently, how to monitor air pollutants, the number of indoor microorganisms, the state of the building environment, the building space, and the state shown by indoor personnel, as well as the influence mechanism of air quality, building environment, and building space on the physical and mental health of personnel and their work and learning efficiency is not clear at present.

[0004] For example, the invention application with the application number 201610986166.4 discloses a method and device for determining the comfort level, belonging to the field of environmental analysis. Based on the environmental data of the target location, through a preset comfort model, the comfort level of the target location can be determined. When the target location includes the location where people are located, people can understand whether the environment where they are located is comfortable through the comfort level of the target location, or the comfort level of the target location can be used as a reference when purchasing a house or selecting a commercial location. However, this application also has the following problems: insufficient monitoring of the building environment, building space, physiological signs, and mental health, and it is not easy to accurately obtain the comfort index of personnel in the space area, which is convenient for improving the comfort feeling of personnel in the space area.

[0005] Therefore, a method for characterizing the comfort index of indoor personnel is needed, which can accurately and quickly determine the comfort index of personnel in the space area and provide a reference for the design and daily management of office buildings and educational buildings. Summary of the Invention

[0006] Aiming at the above existing problems, the purpose of the present invention is to provide a method and system for determining the comfort index of personnel in a space area implemented by a computer, which can accurately and quickly determine the comfort index of personnel in the space area and provide a reference for the design and daily management of office buildings and educational buildings.

[0007] An embodiment of the present invention provides a method and system for determining the comfort index of personnel in a space area implemented by a computer.

[0008] First aspect: A system for determining the comfort index of personnel in a space area implemented by a computer, comprising:

[0009] An identification module, configured to identify and obtain the position of a monitoring target within the target space area at the current stage;

[0010] A monitoring module, configured to obtain monitoring data on the position of a monitoring target within the target space area at the current stage;

[0011] A calculation module, configured to calculate a single comfort index for the target space area at the current stage based on the obtained monitoring data;

[0012] A comprehensive module, configured to calculate a personnel comfort index for the target space area at the current stage based on the obtained single comfort index;

[0013] A control module, configured to control the coordinated operation of each module to run automatically and provide a query for the comfort index;

[0014] Wherein, the monitoring data includes air quality, building environment, and public monitoring data of the building space, as well as human effect data on physiological health and mental health;

[0015] The single comfort index includes an air quality index, a building environment comfort index, a building space comfort index, a personnel physiological health index, and a personnel mental health index.

[0016] Second aspect: A method for determining a personnel comfort index of a space area implemented by a computer, including the steps of:

[0017] S1. Obtain monitoring data on air quality, building environment, building space, physiological health, and mental health of the target space area at the current stage;

[0018] S2. Calculate an air quality index, a building environment comfort index, a building space comfort index, a personnel physiological health index, and a personnel mental health index for the target space area at the current stage based on the obtained monitoring data;

[0019] S3. Calculate and obtain a personnel comfort index for the target space area at the current stage based on the air quality index, the building environment comfort index, the building space comfort index, the personnel physiological health index, and the personnel mental health index.

[0020] Further, the air quality monitoring data includes CO concentration value, CO2 concentration value, formaldehyde concentration value, PM10 concentration value, PM2.5 concentration value, and humidity value, and the calculation formula for the air quality index is:

[0021]

[0022] Wherein, IAQI is the air quality index, β 1 ~β 7 and I 1 ~I 7The weight values of CO, CO2, formaldehyde, PM10, PM2.5, humidity, and microbial concentration, and the indoor air quality comfort score respectively.

[0023] Furthermore, the building environment monitoring data includes air temperature values, illuminance, color temperature, and equivalent sound level. The formula for calculating the building environment comfort index is:

[0024]

[0025] Where: H 1 ~H 4 and I 1 ~I 4 Are the weights of the air temperature value, illuminance, color temperature, and equivalent sound level within the set time in the target space area, and the indoor building environment comfort score respectively.

[0026] Furthermore, the building environment comfort index is obtained by calculating the thermal environment index, light environment index, and sound environment index. The formula is expressed as:

[0027]

[0028] Where, HI, LI, and UI are the values of the thermal environment index, light environment index, and sound environment index respectively, and E 1 ~E 3 Are the weights corresponding to the values of the thermal environment index, light environment index, and sound environment index respectively.

[0029] Furthermore, the thermal environment index HI is obtained by calculating the average air temperature in the target space area. The formula is expressed as:

[0030]

[0031] Where, H i Is the air temperature within the set time in the target space area; HM is the set optimal temperature value;

[0032] The light environment index LI is obtained by calculating the average illuminance and color temperature in the target space area. The formula is expressed as:

[0033]

[0034] Where, Li n and Lc n Are the average illuminance and color temperature in the set target space area, and Li M and Lc M Are the set optimal illuminance and color temperature values;

[0035] The sound environment index UI is obtained by measuring the equivalent sound level in each time period with an integrating sound level meter. The formula is expressed as:

[0036]

[0037] Among them, L pi is the equivalent sound level within the set time in the set target space area, and LpM is the set optimal equivalent sound level.

[0038] Furthermore, the building space monitoring data includes space distance and personnel density, and the calculation formula for the building space comfort index is:

[0039]

[0040] Among them, S 1 , S 2 and I 1 , I 2 are the space distances within the set time in the target space area, the weights corresponding to the personnel density, and the indoor building space comfort scores.

[0041] Furthermore, the physiological health monitoring data includes skin temperature, pulse pressure difference, heart rate, arterial oxygen saturation, and blink frequency, and the calculation formula for the physiological health index is:

[0042]

[0043] Among them: P i and PI i are respectively the weights and comfort scores corresponding to the skin temperature, pulse pressure difference, heart rate, arterial oxygen saturation, and blink frequency within the set time in the target space area.

[0044] Furthermore, the mental health monitoring data includes skin temperature, pulse pressure difference, heart rate, arterial oxygen saturation, blink frequency, and stress, and the calculation formula for the mental health index is:

[0045]

[0046] Among them: M i and MI i are respectively the weights and comfort scores corresponding to the skin temperature, pulse pressure difference, heart rate, arterial oxygen saturation, blink frequency, and stress within the set time in the target space area.

[0047] Furthermore, the physiological health and mental health monitoring data are obtained by monitoring through wearable devices or by computer simulation prediction using the monitored air quality, building environment, and building space data.

[0048] Furthermore, for the personnel comfort index, one calculation formula is:

[0049]

[0050] Among them, a, b, and k are adjustment terms used to adjust the output range of the function according to the geographical location and its own situation, and α 1 ~α 5 are respectively the settable weight coefficients of the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI; x 1 ~x 5 are respectively the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI.

[0051] Furthermore, another calculation formula for the personnel comfort index is:

[0052]

[0053] Among them, C is the personnel comfort index, and IC 1 ~IC 5 are respectively the health comfort scores corresponding to the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI; α 1 ~α 5 are respectively the settable weight coefficients of the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI.

[0054] Third aspect: An electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the method provided in the second aspect are implemented.

[0055] Fourth aspect: A non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method provided in the second aspect are implemented.

[0056] Advantages of the present invention:

[0057] 1. The present invention provides a method and system for determining the comfort index of personnel in a spatial area quickly implemented by a computer, which can accurately and quickly determine the comfort index of the personnel in the spatial area, and can be used for judging work efficiency or students' learning efficiency, providing a reference for the design and daily management of office buildings and educational buildings; it can be used in other similar spatial areas with dense personnel, such as office buildings, airports, high-speed railway stations and carriages, subway stations and carriages, classrooms, restaurants, and public places in schools, to judge the suitability of the learning and working environment, which helps the office and learning places to adjust the spatial environment and improve the work and learning efficiency of personnel.

[0058] 2. The present invention can quickly detect the health and comfort level of air quality, building environment, and building space, obtain the physical and mental health level of personnel, so as to comprehensively judge the health and comfort status of personnel in the spatial area, as well as the learning and working efficiency of personnel, thereby helping users to understand in real time whether the health and comfort level of the used space is suitable for work, study, and rest, and to control and process it in a timely manner; the present invention can also be applied to scenarios that require sensor linkage control, including the management of smart homes, education, medical care, and office places, improving the work efficiency, learning efficiency, etc. of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a schematic structural diagram of the system for determining the comfort index of personnel in the spatial area of the present invention;

[0060] Figure 2 It is a schematic flow diagram of the method for determining the comfort index of personnel in the spatial area of the present invention;

[0061] Figure 3 It is a schematic flow chart of a principle for obtaining the comfort index of personnel in the spatial area of the present invention;

[0062] Figure 4 It is a schematic flow chart of another principle for obtaining the comfort index of personnel in the spatial area of the present invention;

[0063] Figure 5 It is a schematic structural diagram of the wearable device of the present invention;

[0064] Figure 6 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0065] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar symbols represent the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below with reference to the drawings are exemplary and are only used to explain the present invention and should not be construed as a limitation of the present invention.

[0066] At present, the mechanism by which the people engaged in activities in a spatial area are affected by air quality, built environment, building space, physiological health, and mental health on work and learning efficiency is not clear, and an accurate and comprehensive comfort index of the people in the spatial area cannot be obtained to provide a reference for the design and daily management of office buildings and educational buildings.

[0067] To address the above problems, the present invention provides a computer-implemented system for determining the comfort index of people in a spatial area. Figure 1 FIG. is a schematic structural diagram of the system for determining the comfort index of people provided by an embodiment of the present invention. The device includes an identification module, a monitoring module, a calculation module, a comprehensive module, a control module, etc.

[0068] Among them, the identification module is used to identify and obtain the monitoring target position in the target spatial area at the current stage; the identification module may include a radar positioning unit and an image recognition sub-unit, etc. Through the radar positioning unit and the image recognition sub-unit, the monitoring position point where the target person is located can be determined, enabling the monitoring module to obtain the monitoring data at the monitoring target position point in the target spatial area at the current stage, which is beneficial to improving the accuracy of the monitoring data.

[0069] The monitoring module is used to obtain the monitoring data of the target spatial area at the current stage; the monitoring data includes public monitoring data such as air quality, built environment, and building space, and human effect data such as physiological health and mental health.

[0070] The public monitoring data is mainly monitored and obtained by sensors of public monitoring devices installed in the target spatial area or wearable devices (such as Figure 5 the wearable device shown).

[0071] For example, it may include air quality data such as CO concentration value, CO2 concentration value, formaldehyde concentration value, PM10 concentration value, PM2.5 concentration value, etc.; built environment data such as air temperature value, illuminance and color temperature, equivalent sound level, etc.; building space data such as personnel space distance, number of personnel, etc.; and human physiological and mental health data such as skin temperature, pulse pressure difference, heart rate, arterial oxygen saturation, heart rate variability, and average frequency of blinking per minute of indoor personnel, etc.

[0072] The calculation module is used to calculate the single-item comfort index of the target spatial area at the current stage based on the obtained monitoring data; it mainly includes the air quality index IAQI, the built environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI, etc.

[0073] The comprehensive module is used to calculate the comfort index of the people in the target spatial area at the current stage based on the obtained single-item comfort index. Using the comprehensive module, the comfort index of the people can be calculated and analyzed based on the single-item comfort index and artificial intelligence algorithms.

[0074] A control module, which is used to control the coordinated operation of each module automatically and provide comfort index query.

[0075] The control module can be composed of an automatic control subsystem and a remote control subsystem. The automatic control subsystem conducts automatic operation monitoring and calculation according to the instructions of the recognition module, the comprehensive module, etc., and can provide comfort index query service. The remote control subsystem is an APP, a public account or other remote operation devices, and can be remotely controlled by the user. The automatic control subsystem is subordinate to the remote control subsystem.

[0076] The spatial area personnel comfort index determination system provided by this embodiment calculates and analyzes single comfort indexes such as indoor air quality index IAQI, building environment comfort index EI, building space comfort index SI, personnel physiological health index PI, and personnel mental health index MI based on the basic data provided by the monitoring module, and then calculates the personnel comfort index C of the target spatial area at the current stage according to the obtained single comfort indexes.

[0077] It can be used for the determination of work efficiency or students' learning efficiency, provide reference for the design and daily management of office buildings and educational buildings, and help office places and learning places adjust the spatial environment and improve the work and learning efficiency of personnel.

[0078] Based on the above system structure, the present invention also discloses a computer-implemented method for determining the personnel comfort index of a spatial area, as Figure 2 shown, including:

[0079] S1. Obtain the monitoring data of air quality, building environment, building space, physiological health, and mental health of the target spatial area at the current stage.

[0080] Among them, the air quality data includes CO concentration value, CO2 concentration value, formaldehyde concentration value, PM10 concentration value, PM2.5 concentration value, etc.; the building environment data includes air temperature value, illuminance and color temperature, equivalent sound level, etc.; the building space data includes personnel space distance and number of personnel, etc.; the physiological health data includes skin temperature, pulse pressure difference (blood pressure), heart rate, blood oxygen saturation, etc.; the mental health data includes skin temperature, pulse pressure difference, heart rate, blood oxygen saturation, blink frequency, and heart rate variability (stress), etc.

[0081] S2. Calculate the air quality index, building environment comfort index, building space comfort index, personnel physiological health index, and personnel mental health index of the target spatial area at the current stage according to the obtained monitoring data.

[0082] The air quality monitoring data includes CO concentration value, CO2 concentration value, formaldehyde concentration value, PM10 concentration value, PM2.5 concentration value, and humidity value. The calculation formula of the air quality index is:

[0083]

[0084] Among them, IAQI is the air quality index, and β 1 ~β 7 and I 1 ~I 7 are the weight values and indoor air quality comfort scores of CO, CO2, formaldehyde, PM10, PM2.5, humidity, and microbial concentration respectively.

[0085] CO, CO2, formaldehyde, PM10, PM2.5, and humidity can be measured by sensors in public monitoring devices or wearable devices.

[0086] The calculation of microbial concentration is related to the air environment (including PM 2.5 , PM 10 , CO 2 concentration, air change rate, temperature (T), and relative humidity (RH), etc.). According to the microbial growth kinetics formula and experiments, the relationship between the microbial concentration X and P 1 (PM 2.5 concentration), P 2 (PM 10 concentration), P 3 (CO 2 concentration), P 4 (air change rate ACH), P 5 (temperature T), and P 6 (relative humidity RH) can be deduced. The formula is expressed as:

[0087]

[0088] Among them, X is the microbial concentration, with the unit of CFU / m 3 ; C 1 is the correction constant, obtained through actual measurement + simulation; C 2 is the basic value correction constant, obtained through actual measurement + simulation; P i is P 1 (PM 2.5 concentration), P 2 (PM 10 concentration), P 3 (CO 2 concentration), P 4 (air change rate ACH), P 5 (temperature T), and P 6 (relative humidity RH); α 1～6 is the coefficient of different parameters, and θ is the specific growth rate, dimensionless, and becomes a constant after being measured according to the application environment experiment.

[0089] Among them, PM2.5 and PM 10 , with the unit of mg / m 3 ; CO 2 is the carbon dioxide concentration, with the unit of ppm; ACH is the indoor air change rate, with the unit of h -1 ; T is the temperature, with the unit of °C; RH is the humidity, with the unit of %; when the temperature is stable, the bioaerosol concentration is independent of the temperature, and its coefficient is 0 at this time.

[0090] Among them, the formula for the air change rate ACH is expressed as:

[0091]

[0092] Among them, ACH is the air change rate, with the unit of h -1 ; V is the measured space volume, with the unit of m 3 ; C i and C o are the indoor and outdoor CO 2 concentrations, with the unit of ppm; k is the CO 2 emission rate per person, with the unit of m 3 / h, and the average value of 0.018 m 3 / h can be taken; n is the number of people in the set area.

[0093] Based on the microbial concentration X in the target space area at the current stage, determine the microbial concentration index XI in the target space area at the current stage. The formula can be expressed as:

[0094]

[0095] Among them, X i is the microbial concentration within the set time in the set target space area (for example, if X i is the microbial concentration per second, then XI is the microbial concentration index per minute), with the unit of g / L; XM is the set optimal microbial concentration value, with the unit of g / L.

[0096] For example: Assume that the temperature is constant within the set time, P 1 (PM 2.5 concentration) = 0.001 mg / m 3 、P 2 (PM 10 concentration) = 0.004 mg / m 3 、P 3 (CO 2 concentration) = 700 ppm、P 4 (air change rate ACH) = 1.5 / h、P 6 (relative humidity RH) = 58.1, and it is experimentally obtained that C 1 = -130、C2 = 5.485 and θ = 1, α 1～6 are -102.482, 169.038, -0.007, 0.002, 0 and -0.074 respectively, then the microbial concentration X = 903.77 CFU / m3 can be obtained.

[0097] According to the relationship between microbial concentration and temperature, time and humidity, artificial intelligence algorithms such as neural network algorithm or genetic algorithm are used to continuously correct the experimental parameters, so as to obtain the indoor microbial concentration, and the future microbial concentration is predicted according to the known indoor microbial concentration time series, and then the change value of the indoor microbial concentration index is obtained.

[0098] When calculating the relevant parameters, the values of CO, CO2, formaldehyde, PM10, PM2.5, humidity and microbial concentration are shown in Table 1 (the parameter range and weight in Table 1 can be experimentally corrected according to the selected area):

[0099] Table 1 Data table required for calculating the indoor air quality comfort index

[0100]

[0101] The building environment monitoring data includes air temperature value, illuminance, color temperature and equivalent sound level. The building environment comfort index can be directly obtained from the air temperature value, illuminance, color temperature and equivalent sound level. The calculation formula is:

[0102]

[0103] Among them: H 1 ~H 4 and I 1 ~I 4 are the weights of the air temperature value, illuminance, color temperature and equivalent sound level and the indoor building environment comfort score within the set time in the target space area respectively.

[0104] The calculation of relevant parameters is shown in Table 2 (the parameter range and weight in Table 2 can be experimentally corrected according to the selected area):

[0105] Table 2 Data table required for calculating the indoor building environment comfort index

[0106]

[0107] Furthermore, the building environment comfort index can also be calculated from the thermal environment index, light environment index and sound environment index. The formula is expressed as:

[0108]

[0109] Among them, HI, LI, and UI are the values of the thermal environment index, light environment index, and sound environment index respectively, and E 1 ~E 3 are the weights corresponding to the values of the thermal environment index, light environment index, and sound environment index respectively.

[0110] Among them, the thermal environment index HI can be obtained by calculating the average air temperature in the target space area, and the formula is:

[0111]

[0112] Among them, H i is the air temperature within the set time in the target space area (for example, if H i is the air temperature per second, then HI represents the thermal environment index per minute); HM is the set optimal temperature value.

[0113] The light environment index LI can be obtained by calculating the average illuminance and color temperature in the target space area, and the formula is:

[0114]

[0115] Among them: Li n and Lc n are the average illuminance (lux) and color temperature (K) within the set target space area (for example, if Li n and Lc n are the illuminance (lux) and color temperature (K) per second, then LI represents the light environment index per minute); Li M and Lc M are the set optimal illuminance and color temperature values.

[0116] The sound environment index UI can measure the equivalent sound level of each time period with an integrating sound level meter, and calculate the set average equivalent sound level according to the formula to obtain the sound environment index. The formula is:

[0117]

[0118] Among them: L pi is the equivalent sound level within the set time in the set target space area (for example, if L pi is the equivalent sound level per second, then UI is the sound environment index per minute), dB(A); LpM is the set optimal equivalent sound level.

[0119] The building space comfort index SI is obtained by calculating the space distance and personnel density. The space distance refers to the closest distance between people in the room. Personnel density = indoor area / number of people in the room. SI can be represented in multiple ways. The specific value of the target space area at the current stage can be determined by an artificial intelligence algorithm, or it can be obtained by the following formula:

[0120]

[0121] Wherein: S 1 ~S 2 and I 1 ~I 2 are the spatial distances within a set time in the target space area. The weights corresponding to the personnel density and the indoor building space health comfort scores are shown in Table 3 (the parameter ranges and weights in Table 3 can be experimentally corrected according to the selected area).

[0122] Table 3 Data table required for calculating the indoor building space comfort index

[0123]

[0124] As Figure 3 shown, for the physiological health index PI, according to ergonomics, the comfort level of the personnel's eyes, blink frequency, skin temperature (measured by the temperature at the position of the wearable device, adjustable), pulse pressure difference, heart rate and other physiological activities can directly reflect the physiological state of the personnel at this time, such as symptoms of mental fatigue, dullness, palpitations, drowsiness, inattention, etc. At this time, the learning and work speed and accuracy will both decline. Therefore, the personnel physiological health index PI is determined through the human body effect data in the target space area (the skin temperature, pulse pressure difference, heart rate, blood oxygen saturation of the personnel, and the average blink frequency of the indoor personnel per minute). The formula can be expressed as:

[0125] PI = f(skin temperature, pulse pressure difference, heart rate, arterial blood oxygen saturation, and blink frequency) = f(ST, BPF, HR, BOC, BF)

[0126] Wherein, F() represents a function; ST represents the skin temperature, unit °C; BPF represents the difference between the systolic blood pressure and the diastolic blood pressure, unit mmHg; HR represents the heart rate, times / minute; BOC represents the arterial blood oxygen saturation, %; BF represents the average blink frequency of the indoor personnel per minute, times / minute; ST, BPF, HR, BOC, BF are directly measured by the wearable device. PI and ST, BPF, HR, BOC, BF usually have a non-linear relationship, and the specific values in the target space area at the current stage can be determined through artificial intelligence algorithms. PI ranges from 0 to 100%, and the smaller the PI, the better the physiological health state and the more comfortable the space.

[0127] The formula is expressed as:

[0128]

[0129] Wherein: P i and PI iThe weights and health comfort scores corresponding to ST, BP, HR, BOC, and BF within a set time in the target space area are shown in Table 4 as follows: (The parameter ranges and weights in the table can be experimentally corrected according to the selected area).

[0130] Table 4 Data table required for calculating the physiological health index of personnel

[0131]

[0132]

[0133] Such as Figure 5 The wearable device shown in the figure includes Camera 1, Camera 2, and Camera 3, which are used to collect the building space data of the environment where the personnel are located and perform initial identification; at the same time, it is equipped with an air quality monitoring system, a building environment monitoring system, a physiological monitoring system, an eye monitoring system, a data integration and processing system, etc., as well as an AR projection display system.

[0134] Among them, the air quality monitoring system is used to collect the air quality data of the environment where the personnel are located, including CO concentration value, CO2 concentration value, formaldehyde concentration value, PM10 concentration value, PM2.5 concentration value, etc.;

[0135] The building environment monitoring system is used to collect the building environment data of the environment where the personnel are located, including air temperature value, illuminance and color temperature, equivalent sound level, etc.;

[0136] The physiological monitoring system is located at the tail of the wearable device (glasses) and is placed on the ears, used to directly contact the ear skin, and is used to collect data such as skin temperature, pulse pressure difference (blood pressure), heart rate, arterial oxygen saturation, etc. in physiological data

[0137] The eye monitoring system is mainly used to monitor the changes around the eyes of the personnel, including blink frequency, fatigue degree, facial changes, relaxation degree, etc., and mainly provides mental health data.

[0138] The data integration and processing system can process the collected data using artificial intelligence deep learning algorithms, perform personalized data processing, match and calculate the comfort level of the location where the personnel are located. In particular, it can judge the current personnel state (fatigue degree, comfort degree, learning efficiency, work efficiency, etc.) according to facial micro-expressions, and further predict the comfort index of different locations through the prediction and display system, which is beneficial for personnel to select the best comfortable location.

[0139] Using the AR projection display system, users can see the following information in real time:

[0140] Air quality comfort index: Displays the current IAQI values and main pollutants in different regions.

[0141] Building Environment Comfort Index: Displays the temperature, humidity, lighting, and noise levels in different areas before display.

[0142] Building Space Comfort Index: Displays a 3D map and space utilization rate.

[0143] Physical Health Comfort Index: Displays data such as predicted heart rate, pulse pressure difference, blood oxygen saturation, etc. in different areas.

[0144] Mental Health Comfort Index: Displays the predicted emotional states (such as stress index) and suggestions in different areas.

[0145] Personnel Comfort Index: Displays the predicted health comfort index of personnel in different areas of the 3D map.

[0146] If the wearable device does not have the function of monitoring human body effect data, it can also be simulated and predicted by computer through air quality data, building environment data, and building space data, that is, PI≈f(air quality, building environment, building space)).

[0147] Such as Figure 4 As shown, the calculation of the personnel mental health index MI can be represented by physiological effect data, and the relational formula is:

[0148] MI = f(skin temperature, pulse pressure difference, heart rate, arterial blood oxygen saturation, blink frequency, and stress) = f(ST, BP, HR, BOC, BF, PRE)

[0149] MI usually has a non-linear relationship with ST, BP, HR, BOC, BF, and PRE, and the specific value of the target space area at the current stage can be determined through artificial intelligence algorithms.

[0150] The stress PRE is determined by comprehensively analyzing multiple HRV parameters and combining the specific situation of the individual. It has no unit. HRV refers to the change in the difference between successive heartbeat cycles. HRV can be directly converted into personnel stress, reflecting the psychology and emotions of personnel. If the personnel stress remains at a high level for a long time, it will directly affect the mental health of personnel. Personnel stress can be directly measured by a wearable device through heart rate variability. MI ranges from 0 to 100%. The smaller MI is, the better the psychological state of the personnel and the more comfortable the space.

[0151] The formula is expressed as:

[0152]

[0153] Among them: M i and MI iThe weights and health comfort scores corresponding to ST, BP, HR, HRV, BOC, BF, and HRV within the set time in the target space area are shown in Table 5 below (the parameter ranges and weights in Table 5 can be experimentally corrected according to the selected area):

[0154] Table 5 Data table required for calculating the mental health index of indoor personnel

[0155]

[0156] As Figure 4 shown, if the wearable device does not have the function of monitoring human body effect data, it can be simulated and predicted by a computer using air quality data, building environment data, and building space data, that is, MI≈f(air quality, building environment, building space).

[0157] S3. Based on the air quality index, building environment comfort index, building space comfort index, personnel physiological health index, and personnel mental health index, calculate and obtain the personnel comfort index in the target space area at the current stage.

[0158] The calculation of the personnel comfort index C is based on the air quality index IAQI, building environment comfort index EI, building space comfort index SI, personnel physiological health index PI, and personnel mental health index MI. The computer artificial intelligence algorithm determines the personnel health comfort level (if the wearable device does not have the function of monitoring human body effect data, the personnel physiological health index PI and personnel mental health index MI can be simulated and predicted by a computer using air quality data, building environment data, and building space data).

[0159] There are two ways to calculate the personnel comfort index C:

[0160] One is to use the data of the monitoring module. Based on the air quality index IAQI, building environment health comfort index EI, building space health comfort index SI, personnel physiological health comfort index PI, and personnel mental health comfort index MI, the computer artificial intelligence algorithm determines the personnel health comfort level (if the wearable device does not have the function of monitoring human body effect data, the personnel physiological health comfort index PI and personnel mental health comfort index MI can be simulated and predicted by a computer using air quality data, building environment data, and building space data). The personnel health comfort level usually shows a non-linear relationship with IAQI, EI, SI, PI, and MI. The computer artificial intelligence algorithm determines the personnel health comfort level, which is expressed as a percentage. The formula is:

[0161]

[0162] Among them, a, b, and k are adjustment terms used to adjust the output range of the function according to the geographical location and its own situation. α1 to α5 are the settable weight coefficients of the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI respectively; x 1 ~x 5 are the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI respectively. The corresponding personnel health and comfort scores obtained through calculation are calculated as percentages, as shown in Table 6.

[0163] For example, if the input is that all indicators are the worst, x 1 = 100%, x 2 = 100%, x 3 = 100%, x 4 = 100%, x5 = 100%, a = 1, b = -1, and k = 10, then the final output is 100%, and the environmental level is level 1, which is the most unhealthy and uncomfortable.

[0164] Another calculation formula can be expressed as a score, and the formula is:

[0165]

[0166] Among them, C is the personnel comfort index, expressed as an absolute value score, IC 1 ~IC 5 are the health and comfort scores corresponding to the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI respectively (see the corresponding table above), α 1 ~α 5 are the settable weight coefficients of the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI respectively, which can be set according to the selected area. The corresponding personnel health and comfort scores obtained through calculation are calculated as scores, as shown in Table 6.

[0167] Table 6 Personnel Comfort Index Level Division Table

[0168] Level C (Percentage calculation) C (Fraction calculation) 1 ≥95％ 0 2 ≥90％ 50 3 ≥80％ 150 4 ＜80％ 300

[0169] The system and method of the present invention can be applied to crowded spatial areas in fields such as office buildings, airports, high-speed railway stations and carriages, subway stations and carriages, classrooms in schools, restaurants, public places, etc., or other similar spatial areas. By determining the suitability of the learning and working environments, it helps office and learning places adjust the spatial environment and improve the work and learning efficiency of personnel.

[0170] The system and method of the present invention can quickly detect the health and comfort levels of air quality, building environment, and building space, and obtain the physiological and mental health levels of personnel, so as to comprehensively judge the health and comfort status of personnel in the spatial area, as well as the learning and working efficiency of personnel. This helps users to understand in real time whether the health and comfort level of the used space is suitable for work, study, and rest, and to perform control and processing in a timely manner. Furthermore, the present invention can be mainly applied to scenarios that require sensor linkage control, including smart home, education, medical care, and management of office places, to improve the work efficiency, learning efficiency, etc. of users.

[0171] The present invention also provides an electronic device, Figure 6 which is a schematic structural diagram of the electronic device provided by an embodiment of the present invention. As Figure 6 shown, the electronic device may include: a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory communicate with each other through the communication bus. The processor can call the logical instructions in the memory to execute the following method, for example:

[0172] S1. Obtain the monitoring data of air quality, building environment, building space, physiological health, and mental health of the target spatial area in the current stage;

[0173] S2. Calculate the air quality index, building environment comfort index, building space comfort index, personnel physiological health index, and personnel mental health index of the target spatial area in the current stage according to the obtained monitoring data;

[0174] S3. Calculate and obtain the personnel comfort index of the target spatial area in the current stage according to the air quality index, building environment comfort index, building space comfort index, personnel physiological health index, and personnel mental health index.

[0175] In addition, when the logical instructions in the above-mentioned memory are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0176] An embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is configured to execute the methods provided in the above-mentioned various embodiments, for example, including:

[0177] S1. Obtain the monitoring data of air quality, building environment, building space, physiological health, and mental health of the target space area in the current stage;

[0178] S2. Calculate the air quality index, building environment comfort index, building space comfort index, personnel physiological health index, and personnel mental health index of the target space area in the current stage according to the obtained monitoring data;

[0179] S3. Calculate and obtain the personnel comfort index of the target space area in the current stage according to the air quality index, building environment comfort index, building space comfort index, personnel physiological health index, and personnel mental health index.

[0180] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative efforts.

[0181] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0182] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A computer-implemented system for determining a space area occupant comfort index, characterized in that: include: An identification module is used to identify and obtain the monitoring target position in the target space area at the current stage; A monitoring module, used to obtain monitoring data of the monitoring target position in the target space area at the current stage; A calculation module is used to calculate the single comfort index of the target space area at the current stage based on the acquired monitoring data; The comprehensive module is used to calculate the comfort index of personnel in the target space area at the current stage based on the obtained single comfort index; The control module is used to control the coordinated actions of each module to automatically run and provide comfort index query; Among them, monitoring data include public monitoring data on air quality, building environment and building space, and human effects data on physiological health and mental health; Individual comfort indexes include air quality index, building environment comfort index, building space comfort index, personnel physiological health index and personnel mental health index.

2. A method for determining a space area occupant comfort index based on the system of claim 1, characterized in that: Includes steps: S1. Obtain monitoring data on air quality, building environment, building space, physiological health and mental health in the target space area at the current stage; S2. Based on the acquired monitoring data, calculate the target space area air quality index, building environment comfort index, building space comfort index, personnel physiological health index and personnel mental health index at the current stage; S3. Calculate and obtain the personnel comfort index of the target space area at the current stage based on the air quality index, building environment comfort index, building space comfort index, personnel physiological health index and personnel mental health index.

3. The method for determining a personnel comfort index according to claim 2, characterized in that: The air quality monitoring data includes CO concentration value, CO2 concentration value, formaldehyde concentration value, PM10 concentration value, PM2.5 concentration value and humidity value. The air quality index calculation formula is: Among them, IAQI is the air quality index, β1~β7 and I1~I7 are the weight values ​​of CO, CO2, formaldehyde, PM10, PM2.5, humidity and microbial concentration and the indoor air quality comfort score respectively.

4. The method for determining a personnel comfort index according to claim 2, characterized in that: The building environment monitoring data includes air temperature, illumination, color temperature and equivalent sound level. The building environment comfort index calculation formula is: Among them: H1~H4 and I1~I4 are the air temperature value, illumination and color temperature, weights corresponding to the equivalent sound level and indoor building environment comfort score in the target space area within the set time.

5. The method for determining a personnel comfort index according to claim 2, characterized in that: The building environment comfort index is calculated by the thermal environment index, light environment index and sound environment index, and the formula is expressed as follows: Among them, HI, LI and UI are the thermal environment index, light environment index and sound environment index values ​​respectively, and E1~E3 are the weights corresponding to the thermal environment index, light environment index and sound environment index values ​​respectively.

6. The method for determining a personnel comfort index according to claim 5, characterized in that: The thermal environment index HI is obtained by calculating the average air temperature of the target space area, and the formula is expressed as: Among them, H i is the air temperature within the target space within the set time; HM is the set optimal temperature value; The light environment index LI is calculated by the average illuminance and color temperature of the target space area. The formula is: Among them, Li n and Lc n To set the average illumination and color temperature in the target space, Li M and Lc M To set the optimal illumination and color temperature value; The sound environment index UI is calculated by measuring the equivalent sound level in each time period using an integrating sound level meter. The formula is: Among them, L pi is the equivalent sound level within the set time in the set target space area, and LpM is the set optimal equivalent sound level.

7. The method for determining a personnel comfort index according to claim 2, characterized in that: The building space monitoring data includes space distance and personnel density, and the building space comfort index calculation formula is: Among them, S1, S2 and I1, I2 are the spatial distance within the target space area within the set time, the weight corresponding to the population density and the indoor building space comfort score.

8. The method for determining a personnel comfort index according to claim 2, characterized in that: The physiological health monitoring data includes skin temperature, pulse pressure difference, heart rate, arterial oxygen saturation and blink frequency. The physiological health index calculation formula is: Where: P i and PI i They are the weights and comfort scores corresponding to skin temperature, pulse pressure difference, heart rate, arterial blood oxygen saturation and blinking frequency within the target space area within the set time.

9. The method for determining a personnel comfort index according to claim 2, characterized in that: The mental health monitoring data includes skin temperature, pulse pressure difference, heart rate, arterial oxygen saturation, blinking frequency and pressure. The mental health index calculation formula is: Where: M i and MI i They are the weights and comfort scores corresponding to skin temperature, pulse pressure difference, heart rate, arterial oxygen saturation, blinking frequency and pressure within the target space area within the set time.

10. The method for determining a personnel comfort index according to claim 2, characterized in that: The physiological health and mental health monitoring data are obtained through wearable device monitoring or through computer simulation prediction using monitored air quality, building environment and building space data.

11. The method for determining a personnel comfort index according to claim 2, characterized in that: The personnel comfort index, a calculation formula is: Among them, a, b, and k are adjustment items, which are used to adjust the output range of the function according to the geographical location and its own situation. α1~α5 are the settable weight coefficients of the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI; x1~x5 are the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI, and the personnel mental health index MI.

12. The method for determining a personnel comfort index according to claim 2, characterized in that: Another calculation formula for the personnel comfort index is: Among them, C is the personnel comfort index, IC1~IC5 are the health and comfort scores corresponding to the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI and the personnel mental health index MI respectively; α1~α5 are the settable weight coefficients of the air quality index IAQI, the building environment comfort index EI, the building space comfort index SI, the personnel physiological health index PI and the personnel mental health index MI respectively.

13. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method for determining a occupant comfort index according to any one of claims 2 to 12 are implemented.

14. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for determining a person's comfort index as claimed in any one of claims 2 to 12 are implemented.

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