CN112561244B

CN112561244B - Building environment evaluation method and system combining indoor personnel information

Info

Publication number: CN112561244B
Application number: CN202011351222.XA
Authority: CN
Inventors: 耿阳; 林波荣; 庄惟敏; 孙弘历
Original assignee: Tsinghua University
Current assignee: Tsinghua University
Priority date: 2020-11-26
Filing date: 2020-11-26
Publication date: 2021-08-03
Anticipated expiration: 2040-11-26
Also published as: CN112561244A

Abstract

The disclosure relates to a building environment evaluation method and system combining indoor personnel information, wherein the method comprises the following steps: obtaining a plurality of indoor environment parameters of a target building and the number of people in each room at each moment, determining the environmental parameter score corresponding to each indoor environment parameter, determining the distribution weight of the people according to the number of the people, determining a personnel distribution weighted score of each indoor environment parameter according to the environment parameter score of each indoor environment parameter and the personnel distribution weight, according to the method and the device for evaluating the indoor environment of the target building, dynamic, multidimensional and quantitative scientific evaluation of the indoor environment field of the building is achieved by combining distributed indoor environment monitoring and personnel positioning real-time data.

Description

Building environment evaluation method and system combining indoor personnel information

Technical Field

The disclosure relates to the technical field of building indoor environment assessment, in particular to a building environment assessment method and system combining indoor personnel information.

Background

People live indoors for about 90% of the time, and the indoor environment quality directly influences the comfort, health and working efficiency of people. How to scientifically evaluate the indoor environment quality is the basis for guaranteeing and improving the comfort and health performance of the indoor environment and is the key for improving the happiness and the acquaintance of people. However, the existing building indoor environment assessment is still based on a static, short-term and simple average method, and cannot adapt to the building environment assessment requirement under the data-driven background of the new era; in addition, the traditional building environment evaluation only considers the performance of the environment from a single dimension, but does not consider the actual personnel information and the use condition in the indoor environment, so the obtained evaluation conclusion is unscientific and not objective, and the real effect of the environment on the human cannot be reflected. The drawbacks of the above-described environment assessment method become particularly apparent in large buildings such as shopping malls, transportation hubs, exhibition halls, etc., where people flow is large and the randomness of people distribution is strong.

Disclosure of Invention

In view of the above, the present disclosure provides a building environment evaluation method combining indoor personnel information, the method including:

acquiring a plurality of indoor environment parameters of each room of a target building at each moment of a target time period and the number of people in each room at each moment;

determining an environmental parameter score corresponding to each indoor environmental parameter, and determining a personnel distribution weight according to the number of personnel in each room at each moment;

determining a personnel distribution weighted score of each indoor environment parameter according to the environment parameter score of each indoor environment parameter and the personnel distribution weight;

determining a first environment comprehensive score of each room and a second environment comprehensive score of a target building according to the personnel distribution weighted score of each indoor environment parameter and a preset weight value corresponding to each indoor environment parameter;

and evaluating the indoor environment of the target building according to the first environment comprehensive score and/or the second environment comprehensive score to obtain an evaluation result.

In one possible embodiment, the indoor environment parameters include air temperature and humidity, and CO₂Concentration, PM_2.5At least one of a concentration, a formaldehyde concentration, a Volatile Organic Compound (VOC) concentration, an illuminance, and a noise.

In a possible embodiment, the determining an environmental parameter score corresponding to each indoor environmental parameter includes:

and determining an environmental parameter score according to each indoor environmental parameter and a preset association relation, wherein the preset association relation comprises an association relation between an environmental parameter threshold interval and the environmental parameter score.

In a possible embodiment, the people distribution weight includes a first people distribution weight of a single room in a time dimension, a second people distribution weight of the single room in a space dimension, and a third people distribution weight of the target building in the time dimension, wherein the determining the people distribution weight according to the number of people of each room at each time includes at least one of the following steps:

determining a first person distribution weight at the jth moment of the ith room according to a division result of the number of persons at the jth moment of the ith room and the sum of the number of persons at all moments of the ith room in the target time period, wherein i and j are positive integers;

determining a second person distribution weight at the jth moment of the ith room according to a division result of the number of persons at the jth moment of the ith room and the sum of the number of persons at the jth moments of the multiple rooms;

and determining the third person distribution weight of the target building at the jth moment according to the division result of the sum of the number of persons at the jth moment of the plurality of rooms and the sum of the number of persons of the plurality of rooms at all the moments of the target time period.

In one possible embodiment of the method according to the invention,

the determining the first person distribution weight at the jth moment of the ith room according to the division result of the number of persons at the jth moment of the ith room and the sum of the number of persons at all moments of the ith room in the target time period includes: determining the first person distribution weight according to the following formula:

wherein, ω is_i,jRepresenting the first person distribution weight, n_i,jRepresenting the number of people in the ith room at the jth moment, J representing the total duration of the target time period, and J being an integer;

the determining a second person distribution weight at the jth moment of the ith room according to a division result of the number of persons at the jth moment of the ith room and the sum of the number of persons at the jth moments of the multiple rooms includes: determining the second person distribution weight according to the following formula:

wherein, tau_i,jRepresenting a second person distribution weight, I representing a total number of rooms of the plurality of rooms in the building, I being an integer;

the determining the third people distribution weight of the target building at the jth moment according to the division result of the total number of people at the jth moment of the multiple rooms and the total number of people at all moments of the multiple rooms in the target time period includes: determining the third person distribution weight according to the following formula:

wherein omega_jRepresenting the third person distribution weight.

In one possible embodiment, the determining the weighted score of the distribution of the people of each indoor environment parameter according to the score of the environment parameter of each indoor environment parameter and the weight of the distribution of the people comprises:

determining a first weighted score according to the sum of the product of the environmental parameter score of the kth indoor environmental parameter of the ith room at each moment of the target time period and the first person distribution weight of the ith room at the corresponding moment;

determining a second weighted score according to the sum of products of the environmental parameter score of the kth indoor environmental parameter of each room of the target building at the jth moment and the second personnel distribution weight of the corresponding room at the jth moment;

and determining a third weighted score according to the sum of the products of the second weighted score of the kth indoor environment parameter of the target building at each moment of the target time period and the third personnel distribution weight of the target building at the corresponding moment.

In a possible embodiment, the determining a first weighted score according to a sum of products of the environmental parameter score of the kth indoor environmental parameter of the ith room at each time of the target time period and the first person distribution weight of the ith room at the corresponding time includes: determining the first weighted score according to the formula:

wherein r is_i,kA first weighted score, r, of a kth indoor environmental parameter representing an ith room over a target time period_i,j,kThe environmental parameter score of the kth indoor environmental parameter of the ith room at the jth moment is represented;

the determining a second weighted score according to the sum of products of the environmental parameter score of the kth indoor environmental parameter of each room of the target building at the jth moment and the second personnel distribution weight of the corresponding room at the jth moment comprises the following steps: determining a second weighted score according to the formula:

wherein R is_j,kA second weighted score representing the kth indoor environmental parameter of the target building at the jth time instant;

the determining a third weighted score according to the sum of products of the second weighted score of the kth indoor environment parameter of the target building at each moment of the target time period and the third people distribution weight of the target building at the corresponding moment comprises the following steps: determining the third weighted score according to the formula:

wherein R is_kA third weighted score representing the kth indoor environmental parameter of the target building over the target time period.

In a possible implementation manner, the determining a first comprehensive environment score of each room and a second comprehensive environment score of a target building according to the personnel distribution weighted score of each indoor environment parameter and a preset weight value corresponding to each indoor environment parameter includes:

determining a first environment comprehensive score of each room according to the sum of products of the first weighted score of each indoor environment parameter of the ith room and a preset weight value of the corresponding indoor environment parameter;

determining a second environment comprehensive score of the target building according to the sum of products of the third weighted score of each indoor environment parameter of the target building and a preset weighted value of the corresponding indoor environment parameter,

and the sum of the preset weight values of each indoor environment parameter is 1.

In a possible embodiment, the determining a first environment composite score for each room according to a sum of products of the first weighted score of each indoor environment parameter of the ith room and a preset weight value of the corresponding indoor environment parameter includes: determining the first environmental composite score according to the following formula:

wherein r is_iFirst Environment composite score, ξ, representing the ith Room_kRepresenting the weight of the kth indoor environment parameter in the environment comprehensive score;

the determining of the second environment comprehensive score of the target building according to the sum of the products of the third weighted score of each indoor environment parameter of the target building and the preset weighted value of the corresponding indoor environment parameter includes: determining the second environmental composite score according to the following formula:

wherein R represents a second environment composite score of the target building.

According to another aspect of the present disclosure, there is provided a building environment evaluation system in combination with indoor person information, the system including:

the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring a plurality of indoor environment parameters of each room of a target building at each moment of a target time period and the number of people in each room at each moment;

the first calculation module is electrically connected with the acquisition module and used for determining the environmental parameter score corresponding to each indoor environmental parameter and determining the personnel distribution weight according to the personnel number of each room at each moment;

the second calculation module is electrically connected with the first calculation module and the acquisition module and is used for determining the personnel distribution weighted score of each indoor environment parameter according to the environment parameter score of each indoor environment parameter and the personnel distribution weight;

the third calculation module is electrically connected to the second calculation module and used for determining a first environment comprehensive score of each room and a second environment comprehensive score of a target building according to the plurality of indoor personnel distribution weighted scores and the preset weight value corresponding to each indoor environment parameter;

and the evaluation module is electrically connected to the third calculation module and is used for evaluating the indoor environment of the target building according to the first environment comprehensive score and/or the second environment comprehensive score to obtain an evaluation result.

In various aspects of the embodiments of the present disclosure, by obtaining a plurality of indoor environment parameters of each room of a target building at each time of a target time period and the number of people in each room at each time, an environment parameter score corresponding to each indoor environment parameter is determined, a people distribution weight is determined according to the number of people in each room at each time, a people distribution weighting score of each indoor environment parameter is determined according to the environment parameter score of each indoor environment parameter and the people distribution weight, a first environment comprehensive score of each room and a second environment comprehensive score of the target building are determined according to the people distribution weighting score of each indoor environment parameter and a preset weight value corresponding to each indoor environment parameter, and the indoor environment of the target building is evaluated according to the first environment comprehensive score and/or the second environment comprehensive score, and obtaining an evaluation result, and realizing dynamic, multidimensional and quantitative scientific evaluation on the building indoor environment field by combining distributed indoor environment monitoring with personnel positioning real-time data.

Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.

Fig. 1 illustrates a flowchart of a building environment evaluation method incorporating indoor personnel information according to an embodiment of the present disclosure.

Fig. 2 shows a schematic diagram of obtaining a person distribution weight according to an embodiment of the present disclosure.

Fig. 3 shows a schematic diagram of an evaluation result according to an embodiment of the present disclosure.

FIG. 4 shows a flow diagram of a building environment assessment system incorporating indoor personnel information according to an embodiment of the present disclosure.

FIG. 5 shows a schematic diagram of a building environment evaluation system incorporating indoor personnel information according to an embodiment of the present disclosure.

Detailed Description

Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.

Referring to fig. 1, fig. 1 is a flowchart illustrating a building environment evaluation method in combination with indoor personnel information according to an embodiment of the present disclosure.

As shown in fig. 1, the method includes:

step S11, acquiring a plurality of indoor environment parameters of each room of the target building at each moment of the target time period and the number of people in each room at each moment;

step S12, determining an environmental parameter score corresponding to each indoor environmental parameter, and determining a personnel distribution weight according to the personnel number of each room at each moment;

step S13, determining a personnel distribution weighting score of each indoor environment parameter according to the environment parameter score of each indoor environment parameter and the personnel distribution weight;

step S14, determining a first environment comprehensive score of each room and a second environment comprehensive score of a target building according to the personnel distribution weighted score of each indoor environment parameter and a preset weight value corresponding to each indoor environment parameter;

and step S15, evaluating the indoor environment of the target building according to the first environment comprehensive score and/or the second environment comprehensive score to obtain an evaluation result.

The method comprises the steps of obtaining a plurality of indoor environment parameters of each room of a target building at each moment of a target time period and the number of people of each room at each moment, determining an environment parameter score corresponding to each indoor environment parameter, determining a person distribution weight according to the number of people of each room at each moment, determining a person distribution weighted score of each indoor environment parameter according to the environment parameter score of each indoor environment parameter and the person distribution weight, determining a first environment comprehensive score and a second environment comprehensive score of each room according to the person distribution weighted score of each indoor environment parameter and a preset weight value corresponding to each indoor environment parameter, and evaluating the indoor environment of the target building according to the first environment comprehensive score and/or the second environment comprehensive score, and obtaining an evaluation result, and realizing dynamic, multidimensional and quantitative scientific evaluation on the building indoor environment field by combining distributed indoor environment monitoring with personnel positioning real-time data.

In one possible embodiment, the above method may be performed by a terminal, a server, wherein the terminal, also referred to as a User Equipment (UE), a Mobile Station (MS), a Mobile Terminal (MT), etc., is a device that provides voice and/or data connectivity to a user, for example, a handheld device with a wireless connection function, a vehicle-mounted device, etc. Currently, some examples of terminals are: a mobile phone (mobile phone), a tablet computer, a notebook computer, a palm top computer, a Mobile Internet Device (MID), a wearable device, a Virtual Reality (VR) device, an Augmented Reality (AR) device, a wireless terminal in industrial control (industrial control), a wireless terminal in unmanned driving (self), a wireless terminal in remote surgery (remote medical supply), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (transportation safety), a wireless terminal in city (smart city), a wireless terminal in smart home (smart home), a wireless terminal in vehicle networking, and the like.

In one example, the terminal and the server may execute the above method by using a processor, and the processor may execute the above steps by running or executing software programs and/or modules stored in the memory, and calling data stored in the memory or acquiring data of the acquisition end. The processor may be implemented by a CPU, a Graphics Processing Unit (GPU), or other logic Processing device.

In one possible embodiment, the indoor environment parameters include air temperature and humidity, and CO₂Concentration, PM_2.5At least one of a concentration, a formaldehyde concentration, a Volatile Organic Compound (VOC) concentration, illuminance, noise, and the like.

Of course, the above description of the indoor environment parameter is exemplary, and in other embodiments, the indoor environment parameter may also include others, and the embodiments of the present disclosure are not limited thereto.

In one example, embodiments of the present disclosure may provide sensors at each location of each room to obtain indoor environmental parameters, e.g., maySetting air temperature and humidity sensor and CO₂Concentration sensor and PM_2.5At least one of a concentration sensor, a formaldehyde concentration sensor, a VOC concentration sensor, an illumination sensor and a noise sensor is used for respectively acquiring the air temperature and humidity and CO of each room at each moment₂Concentration, PM_2.5At least one of a concentration, a formaldehyde concentration, a Volatile Organic Compound (VOC) concentration, an illuminance, and a noise.

Of course, the above description of the sensor is exemplary, and in other embodiments, the sensor may also include others, and the embodiments of the present disclosure are not limited thereto.

In a possible implementation manner, the number of people in each time in the room may be determined in multiple ways, for example, at least one of attendance machine recording, video camera detection, infrared detection, WIFI positioning, and bluetooth positioning may be performed, so as to obtain the number of people in each time in each room.

In one example, embodiments of the present disclosure may locate a monocular from each sensor at a target time period

The embodiment of the present disclosure does not limit the specific implementation manner of acquiring the number of people in each room at each moment by using the positioning unit through at least one of attendance machine recording, video camera detection, infrared detection, WIFI positioning, and bluetooth positioning, and the technical personnel in the field can implement the method according to the related art.

In one example, the positioning unit can be installed at any position of each room, and the real-time personnel number in different rooms is obtained, so that the personnel dynamic distribution characteristics in the target building are obtained.

Of course, in other embodiments, the number of people in the room at each time may also be determined in other manners, and this is not limited in the embodiment of the present disclosure.

In one possible implementation, the target time period may be set as needed, for example, the target time period may be 24 hours (any continuous 24 hours), and a plurality of indoor environment parameters of each room and the number of people in each room may be collected at 24 times of each time (1 point, 2 points, 3 points … 23 points, 24 points).

In one example, the peak value and the average value of the indoor environment parameter and the number of people in each time unit (e.g., one hour) may also be collected as the indoor environment parameter and the number of people at the time.

Of course, the target time period may be other time periods (for example, one week, one month, etc.), and those skilled in the art may set the specific time for collecting the indoor environment parameters and the number of people as needed, and those skilled in the art may also set the time as needed, which is not limited in the embodiment of the present disclosure.

In one example, the embodiment of the present disclosure may directly obtain the indoor environment parameters and the number of people through each sensor at each time, or put the indoor environment parameters and the number of people at each time of the target time period into the storage device first, and when the building environment of the target time period needs to be evaluated, the indoor environment parameters and the number of people at each time of the target time period may be obtained from the storage device.

In a possible implementation, the step S12 of determining an environmental parameter score corresponding to each indoor environmental parameter may include:

In one example, the embodiment of the present disclosure may determine an environmental parameter threshold interval to which each indoor environmental parameter belongs, and determine an environmental parameter score of the indoor environmental parameter according to the determined environmental parameter threshold interval.

In one example, according to a preset incidence relation, various indoor environment parameters in different rooms are converted into corresponding environment parameter scores r_i,j,kWherein: r is_i,j,kRepresenting the kth environmental parameter score of the ith room at the jth moment; when the kth indoor environment parameter is in the comfortable and healthy interval, r_i,j,kPositive, otherwise negative; r is_i,j,kSize of (2)Can reflect the distance between the indoor environment parameter and the environment optimal value, the closer the distance, the r_i,j,kThe larger the value and vice versa.

In one example, assuming a target time period of 24 hours, the indoor environmental parameters collected at each time of the hour include air temperature and humidity, CO₂Concentration, PM_2.5Concentration and illuminance, wherein the preset correlation can be expressed as table 1 as follows:

TABLE 1

According to the preset association relationship shown in table 1, for example, various indoor environmental parameters in different rooms (room #1, room #2, and room #3) collected in a typical working day in summer may be converted into corresponding environmental parameter scores, which are specifically shown in table 2 (taking temperature as an example).

TABLE 2

Time of day	1	2	3	4	5	6	7	8	9	10	11	12
													Room #1	-2	-2	-2	-2	-2	-2	-2	-2	-1	3	2	1
Room #2	-1	-2	-2	-2	-2	-2	-2	-2	-2	-2	-1	-1
													Room #3	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-2	-2
Time of day	13	14	15	16	17	18	19	20	21	22	23	24
													Room #1	2	2	2	1	2	1	1	-1	-2	-1	-1	-2
Room #2	-1	-1	-2	-2	-2	-2	-1	-1	-1	-1	-1	1
													Room #3	-2	2	2	3	2	2	1	-1	-1	-1	-1	-1

In a possible implementation, the people distribution weight may include a first people distribution weight, a second people distribution weight, and a third people distribution weight, where the first people distribution weight may represent a people distribution weight of a room in a longitudinal time dimension, the second people distribution weight may represent a people distribution weight of a room in a lateral space dimension, and the third people distribution weight may represent a people distribution weight of a target building (of the multiple rooms as a whole) in the longitudinal time dimension.

In one possible implementation, the step S12 of determining the distribution weight of the people according to the number of people in each room at each time may include:

and determining the first person distribution weight of the ith room at the jth moment according to the division result of the number of persons of the ith room at the jth moment and the sum of the number of persons of the ith room at all moments of the target time period, wherein i and j are positive integers.

In one example, the determining the first person distribution weight at the jth time of the ith room according to the division result of the number of persons at the jth time of the ith room and the sum of the number of persons at all times of the ith room in the target time period includes: determining the first person distribution weight according to the following formula:

wherein, ω is_i,jRepresenting the first person distribution weight, n, of the ith room at the jth time instant in the longitudinal time dimension_i,jThe number of people in the ith room at the jth moment is shown (the number of people in the ith room in real time), and J represents the total duration of the target time period selected by the indoor environment assessment, wherein J is an integer.

Wherein the first person distributes the weight ω_i,jThe conditions are satisfied:

that is, the sum of the first person distribution weights at each time of the target time period in the ith room is 1.

In one example, if none of rooms i are within total duration J

Then ω is set_i,j＝0,j∈[1,J]。

Referring to fig. 2, fig. 2 is a schematic diagram illustrating obtaining a distribution weight of people according to an embodiment of the disclosure.

In one example, as shown in fig. 2, the first person distribution weight ω at the jth time of the ith room is determined according to the division result of the number of persons at the jth time of the ith room and the sum of the number of persons at all times of the ith room in the target time period_i,j(ω_i,1～ω_i,J) I.e. the distribution of the weight of the persons in the room in the longitudinal time dimension.

and determining a second person distribution weight at the jth moment of the ith room according to the division result of the number of persons at the jth moment of the ith room and the sum of the number of persons at the jth moments of the plurality of rooms.

In one example, the determining the second person distribution weight at the jth time of the ith room according to the division result of the number of persons at the jth time of the ith room and the sum of the number of persons at the jth time of the multiple rooms includes: determining the second person distribution weight according to the following formula:

wherein, tau_i,jAnd representing a second person distribution weight of an ith room at a jth time in the transverse spatial dimension, wherein I represents the total number of rooms of the plurality of rooms in the building, and is an integer.

In one example, the weight value τ_i,jThe conditions are satisfied:

that is, the sum of the second person distribution weights of the plurality of rooms at the jth time is 1.

In one example, if none are present in all rooms at the jth time (1 hour)

Then set τ_i,j＝0,i∈[1,I]。

In one example, as shown in FIG. 2, the second person distribution weight τ at the jth time of the ith room is determined according to the division of the number of persons at the jth time of the ith room and the sum of the number of persons at the jth time of the plurality of rooms_i,j(τ_1,j～τ_I,j) I.e. the weight of the distribution of the persons of the room in the lateral spatial dimension.

In one example, the determining the third people distribution weight of the target building at the jth time according to the division result of the total number of people at the jth time of the multiple rooms and the total number of people of the multiple rooms at all times of the target time period includes: determining the third person distribution weight according to the following formula:

wherein omega_jRepresenting a third person distribution weight of the target building at the jth moment in the longitudinal time dimension.

Wherein, the weight value omega_jThe conditions are satisfied:

that is, the sum of the third person distribution weights at the time points J in the target time zone is 1.

In one example, if the target building is unmanned for the total duration J

Then set to omega_j＝0,j∈[1,J]。

In one example, as shown in FIG. 2, the third people distribution weight Ω of the target building at the jth time is determined according to the division of the total number of people at the jth time of the plurality of rooms and the total number of people of the plurality of rooms at all times of the target time period_j(Ω₁～Ω_J) I.e. the weight of the person distribution of the target building in the longitudinal time dimension.

In one example, by obtaining the number of people at each time of the target time period and determining the first person distribution weight according to the above method, the following table 3 can be exemplarily obtained:

TABLE 3

Time of day	1	2	3	4	5	6	7	8	9	10	11	12
													ω_1,j	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.02	0.03	0.11	0.11	0.11
ω_2,j	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.09	0.18	0.18	0.23
													ω_3,j	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.03	0.07	0.07	0.10
Time of day	13	14	15	16	17	18	19	20	21	22	23	24
													ω_1,j	0.06	0.11	0.11	0.11	0.11	0.05	0.05	0.01	0.01	0.00	0.00	0.00
ω_2,j	0.14	0.09	0.09	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
													ω_3,j	0.04	0.10	0.10	0.10	0.07	0.07	0.07	0.07	0.03	0.03	0.03	0.00

In one example, by obtaining the number of people at each time of the target time period and determining the second people distribution weight according to the above method, the following table 4 can be exemplarily obtained:

TABLE 4

Time of day	1	2	3	4	5	6	7	8	9	10	11	12
													τ_1,j	0.00	0.00	0.00	0.00	0.00	0.00	0.00	1.00	0.55	0.65	0.65	0.57
τ_2,j	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.18	0.13	0.13	0.14
													τ_3,j	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.27	0.23	0.23	0.29
Time of day	13	14	15	16	17	18	19	20	21	22	23	24
													τ_1,j	0.61	0.63	0.63	0.67	0.74	0.59	0.59	0.22	0.40	0.00	0.00	0.00
τ_2,j	0.17	0.06	0.06	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
													τ_3,j	0.22	0.31	0.31	0.33	0.26	0.41	0.41	0.78	0.60	1.00	1.00	0.00

In one example, by obtaining the number of people at each time of the target time period and determining the third people distribution weight according to the above method, the following table 5 can be exemplarily obtained:

TABLE 5

Time of day	1	2	3	4	5	6	7	8	9	10	11	12
													Ω_j	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.01	0.04	0.10	0.10	0.12
Time of day	13	14	15	16	17	18	19	20	21	22	23	24
													Ω_j	0.06	0.11	0.11	0.10	0.09	0.06	0.06	0.03	0.02	0.01	0.01	0.00

In one possible embodiment, the weighted score of the staff distribution of the indoor environment parameter includes a first weighted score of a kth indoor environment parameter of a single room in a target time period, a second weighted score of the kth indoor environment parameter of a target building in a jth time, and a third weighted score of the kth indoor environment parameter of the target building in the target time period, where k is a positive integer.

In one possible implementation, the step S13 determining the weighted personal distribution score of each indoor environment parameter according to the environment parameter score of each indoor environment parameter and the personal distribution weight may include:

and determining a first weighted score according to the sum of the environmental parameter score of the kth indoor environmental parameter of the ith room at each moment of the target time period and the product of the first person distribution weight of the ith room at the corresponding moment.

In one example, the determining a first weighted score according to a sum of products of environmental parameter scores of a kth indoor environmental parameter of an ith room at each time of a target time period and a first person distribution weight of the ith room at a corresponding time includes: determining the first weighted score according to the formula:

wherein r is_i,kA first weighted score, r, of a kth indoor environmental parameter representing an ith room over a target time period_i,j,kAnd the environmental parameter score of the kth indoor environmental parameter of the ith room at the jth moment is represented.

and determining a second weighted score according to the sum of the product of the environmental parameter score of the kth indoor environmental parameter of each room of the target building at the jth moment and the second personnel distribution weight of the corresponding room at the jth moment.

In one example, the determining a second weighted score according to a sum of products of an environmental parameter score of a kth indoor environmental parameter of each room of the target building at a jth time and a second people distribution weight of the corresponding room at the jth time includes: determining a second weighted score according to the formula:

wherein R is_j,kSecond weighted score of kth indoor environment parameter representing target building at jth moment。

In one example, the determining a third weighted score according to a sum of products of the second weighted score of the kth indoor environment parameter of the target building at each moment of the target time period and the third people distribution weight of the target building at the corresponding moment includes: determining the third weighted score according to the formula:

In one example, using the previously obtained environment parameter scores and the people distribution weights, a people distribution weighted score (first weighted score) for each indoor environment parameter of each room and a people distribution weighted score (third weighted score) for each indoor environment parameter of the target building can be obtained, as shown in table 6:

TABLE 6

Room	Temperature of	Humidity	CO₂	PM_2.5	Illuminance of light
						Room #
1	1.54	2.64	1.79	3.00	1.69
						Room #2	-1.36	2.36	1.82	1.27	0.55
Room #3	0.38	0.39	0.27	0.65	1.45
						Target building	0.96	1.89	1.30	2.12	1.53

In one possible embodiment, the step S14 of determining the first comprehensive environment score of each room and the second comprehensive environment score of the target building according to the weighted personnel distribution score of each indoor environment parameter and the preset weight value corresponding to each indoor environment parameter may include:

and determining a first environment comprehensive score of each room according to the sum of the products of the first weighted score of each indoor environment parameter of the ith room and the preset weight value of the corresponding indoor environment parameter.

In one example, the determining the first environment composite score of each room according to the sum of the products of the first weighted score of each indoor environment parameter of the ith room and the preset weight value of the corresponding indoor environment parameter includes: determining the first environmental composite score according to the following formula:

wherein r is_iFirst Environment composite score, ξ, representing the ith Room_kAnd representing the weight of the kth indoor environment parameter in the environment comprehensive score.

In one example, ξ_kCan be set according to actual conditions and requirements.

and determining a second environment comprehensive score of the target building according to the sum of the products of the third weighted score of each indoor environment parameter of the target building and the preset weighted value of the corresponding indoor environment parameter.

In one example, the determining the second environment composite score of the target building according to the sum of products of the third weighted score of each indoor environment parameter of the target building and the preset weighted value of the corresponding indoor environment parameter includes: determining the second environmental composite score according to the following formula:

In one example, the weight value ξ_kThe conditions are satisfied:

that is, the sum of the preset weight values of each indoor environment parameter is 1.

In one example, an indoor environment parameter weight ξ may be preset_kAs shown in table 7.

TABLE 7

Parameter(s)	Temperature of	Humidity	CO₂	PM_2.5	Illuminance of light
						Weight xi_k	0.25	0.10	0.25	0.25	0.15

In one example, the first weighted score of each room obtained in step S13 and the third weighted score of the target building (data in table 6) may be weighted and summed according to the indoor environment parameter weights shown in table 7 to obtain a second environment composite score, as shown in table 8.

TABLE 8

	Room #1	Room #2	Room #3	Target building
					Environmental composite scoring	2.10	0.75	0.58	1.51

In a possible implementation manner, the step S15 of evaluating the indoor environment of the target building according to the first environmental composite score and/or the second environmental composite score to obtain an evaluation result may include:

step S151, establishing an evaluation coordinate system by taking the number of people as a vertical coordinate and taking the comprehensive environmental scores as a horizontal coordinate;

in one example, the evaluation coordinate system is an indoor environment two-dimensional evaluation coordinate system, the abscissa represents an indoor environment comprehensive score, and the ordinate represents an accumulated value (reflecting the influence magnitude of the space) of the target time period in the indoor times per unit time; the larger the abscissa is, the more beneficial the indoor environment is to the comfort and health of the human body is, and the better the comprehensive effect is; the larger the ordinate is, the more the number of users who express the influence of the indoor environment is, and the larger the influence is.

And S152, projecting a coordinate point formed by the accumulated number of people in each room of the target building and the second environment comprehensive score in the evaluation coordinate system.

In one example, the indoor environment assessment and comparison of the building level combines the indoor environment composite score R of the target building over the total duration (target time period) with the accumulated value of the indoor number of people

Are combined to form a coordinate point (R,

) And projecting the building block to the two-dimensional evaluation coordinate system for comprehensive evaluation, and comparing evaluation results of different buildings.

Step S153, projecting a plurality of coordinate points consisting of the accumulated value of the number of people in each room and the first environment comprehensive score of each room in a target time period on the evaluation coordinate system;

in one example, the room level indoor environment assessment and comparison scores the indoor environment of room i over a total duration r_iAnd accumulated value of people in room

Combined into a coordinate point (r)_i，

) And projecting the evaluation coordinate system to the two-dimensional evaluation coordinate system for comprehensive evaluation, and comparing evaluation results of different rooms.

And step S154, taking the projected evaluation coordinate system as the evaluation result.

Referring to fig. 3, fig. 3 is a schematic diagram illustrating an evaluation result according to an embodiment of the disclosure.

In one example, the data in the previous example can be projected through the above steps to obtain the evaluation result as shown in fig. 3.

In one example, as shown in FIG. 3, the overall environmental performance of room #1 is superior, and cumulative impact population is greater; the overall environmental performance of room #2 and room #3 is poor, but the cumulative impact on population is relatively small, especially room # 2. Therefore, the effect of the indoor environment on the comfort and health of the user is great and excellent as a whole in view of the comprehensive target building.

In a possible implementation manner, the step S15 of evaluating the indoor environment of the target building according to the first environmental composite score and/or the second environmental composite score to obtain an evaluation result, and may further include:

and taking the product of the accumulated number of people in each room of the target building in the target time period and the second environment comprehensive score and the product of the accumulated number of people in each room in the target time period and the first environment comprehensive score of each room as the evaluation result.

In one example, the product of the accumulated number of people per room of the target building and the second environment composite score, and the product of the accumulated number of people per room of the target building and the first environment composite score per room within the target time period may be used to reflect the magnitude of the composite accumulated effect of the indoor environment of the room or building on the human body, and different rooms or buildings may be sorted for evaluation according to the magnitude of the index.

After the environment of the target building is evaluated by the method, if the evaluation result shows that the environment of some rooms or the whole building is poor (for example, the air quality is poor, the temperature and the humidity are inappropriate and the like), the environment of the rooms or the target building can be improved based on the evaluation result and the number of people in each room, for example, if the air quality of the room 1 is determined to be poor according to the evaluation result, the air supply and the ventilation of a fresh air system are controlled, if the temperature and the humidity are inappropriate, the temperature and the humidity of an air conditioning system can be controlled to be adjusted, and the adjustment degree can be determined by combining the number of people in the room in real time during adjustment, for example, the air supply amount is increased when the number of people is larger than a certain value.

In one example, the control system may be configured to control the fresh air system, the air conditioning system, and the like according to the evaluation result or the parameters obtained in the above evaluation process, so as to improve and control the environment of the target room.

In one example, the evaluation result may be transmitted to a user or a building operator (such as a property) through data transmission methods such as bluetooth and WIFI, the evaluation result is displayed through a display device, and the user or the building operator makes a response according to the evaluation result, for example, a fresh air system and an air conditioning system are controlled, so as to improve and control the environment of a target room.

The embodiment of the disclosure overcomes the defects that the related technology mainly adopts a static, short-term and simple average method and only performs environment evaluation from a single dimension, on one hand, the indoor environment field of the building is dynamically and long-term evaluated, on the other hand, the embodiment of the disclosure is combined with personnel positioning information, the actual exposure condition of a user under a certain environment condition is fully considered, and the human-oriented multi-dimensional quantitative evaluation of the building environment is realized.

Referring to fig. 4, fig. 4 illustrates a flow chart of a building environment evaluation system incorporating indoor personnel information according to an embodiment of the present disclosure.

As shown in fig. 4, the system includes:

an obtaining module 10, configured to obtain a plurality of indoor environment parameters of each room of a target building at each time of a target time period, and a number of people in each room at each time;

the first calculation module 20 is electrically connected to the acquisition module 10, and is configured to determine an environmental parameter score corresponding to each indoor environmental parameter, and determine a staff distribution weight according to the number of staff in each room at each time;

a second calculating module 30, electrically connected to the first calculating module 20 and the obtaining module 10, for determining a plurality of weighted scores of the distribution of the people related to each indoor environmental parameter according to the environmental parameter score of each indoor environmental parameter and the weight of the distribution of the people;

a third calculating module 40, electrically connected to the second calculating module 20, for determining a first environmental composite score of each room and a second environmental composite score of the target building according to the personnel distribution weighted score of each indoor environmental parameter and a preset weight value corresponding to each indoor environmental parameter;

and the evaluation module 50 is electrically connected to the third calculation module 40 and is used for evaluating the environment of the target building according to the first environment comprehensive score and/or the second environment comprehensive score to obtain an evaluation result.

Each of the first calculating module, the second calculating module, the third calculating module, the scoring module, and the like in the embodiments of the present disclosure may be implemented by a dedicated hardware circuit, or may be implemented by a general hardware circuit, for example, by a microprocessor, a Central Processing Unit (CPU), a control logic portion in a memory controller, and the like, including but not limited to the following types of chips: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F 320. Within the processor 101, the executable instructions may be executed by hardware circuits such as logic gates, switches, Application Specific Integrated Circuits (ASICs), programmable logic controllers, and embedded microcontrollers.

In a possible implementation, the obtaining module may include:

a sensor unit including an air temperature and humidity sensor, CO₂Concentration sensor and PM_2.5At least one of a concentration sensor, a formaldehyde concentration sensor, a VOC concentration sensor, an illumination sensor and a noise sensor is respectively used for acquiring the air temperature and humidity and CO of each room at each moment₂Concentration, PM_2.5At least one of concentration, formaldehyde concentration, Volatile Organic Compound (VOC) concentration, illumination and noise;

the positioning unit comprises at least one of an attendance machine recording positioning subunit, a video camera detection positioning subunit, an infrared detection positioning subunit, a WIFI positioning subunit and a Bluetooth positioning subunit, and is used for acquiring the number of people in each room at each moment.

In one possible embodiment of the method according to the invention,

wherein omega_jRepresenting the third person distribution weight.

wherein r is_i,kA first weighted score, r, of a kth indoor environmental parameter representing an ith room over a target time period_i,j,k represents the environmental parameter score of the kth indoor environmental parameter of the ith room at the jth moment;

Referring to fig. 5, fig. 5 is a schematic diagram illustrating a building environment evaluation system combining indoor personnel information according to an embodiment of the present disclosure.

In one possible embodiment, as shown in fig. 5, a plurality of sensor units may constitute a distributed indoor environment monitoring component to acquire a plurality of indoor environment parameters of each room, wherein each sensor unit may include a plurality of sensors to acquire a plurality of indoor environment parameters in one room.

In one possible embodiment, a plurality of positioning units may form a people positioning component to obtain the number of people in each room at each time, wherein each positioning unit may obtain the number of people in a certain room using a plurality of positioning methods.

In a possible implementation manner, as shown in fig. 5, the system may further include a data transmission component, which may be configured to transmit the environment data collected by the distributed environment monitoring component and the number of people collected by the people positioning component to a cloud server.

In one example, the data transmission component may include a bluetooth module, a WIFI module, a ZigBee module, and a 3G, 4G, 5G, etc. mobile communication module to enable data transmission.

In a possible implementation manner, as shown in fig. 5, the data processing and scoring component may include a first computing module, a second computing module, a third computing module, and a scoring module, and may acquire data in the cloud server, or directly acquire data (historical data or real-time data) of the distributed indoor environment monitoring component and the personnel positioning component, so as to score the environment of the target building by using the acquired data, where specific descriptions of the first computing module, the second computing module, the third computing module, and the scoring module refer to previous descriptions, and are not repeated herein.

It should be noted that the building environment evaluation system with indoor person information is a system corresponding to the building environment evaluation method with indoor person information, and for specific introduction, reference is made to the description of the previous method, which is not repeated herein.

Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A building environment evaluation method combining indoor personnel information is characterized by comprising the following steps:

determining an environmental parameter score corresponding to each indoor environmental parameter, and determining a staff distribution weight according to the number of staff in each room at each moment, wherein the staff distribution weight comprises a first staff distribution weight of a single room in a time dimension, a second staff distribution weight of the single room in a space dimension, and a third staff distribution weight of a target building in the time dimension, and the staff distribution weight is determined according to the number of staff in each room at each moment, and the method comprises at least one of the following steps: determining a first person distribution weight at the jth moment of the ith room according to a division result of the number of persons at the jth moment of the ith room and the sum of the number of persons at all moments of the ith room in the target time period, wherein i and j are positive integers; determining a second person distribution weight at the jth moment of the ith room according to a division result of the number of persons at the jth moment of the ith room and the sum of the number of persons at the jth moments of the multiple rooms; determining a third person distribution weight of the target building at the jth moment according to a division result of the sum of the number of persons at the jth moment of the plurality of rooms and the sum of the number of persons of the plurality of rooms at all moments of the target time period;

2. The method of claim 1, wherein the indoor environmental parameters include air temperature and humidity, CO₂Concentration, PM_2.5At least one of a concentration, a formaldehyde concentration, a Volatile Organic Compound (VOC) concentration, an illuminance, and a noise.

3. The method of claim 1, wherein determining the environmental parameter score corresponding to each indoor environmental parameter comprises:

4. The method of claim 1,

wherein omega_jRepresenting the third person distribution weight.

5. The method of claim 1, wherein the weighted score of the distribution of the people of the indoor environment parameter comprises a first weighted score of a kth indoor environment parameter of a single room in a target time period, a second weighted score of the kth indoor environment parameter of a target building at a jth time, and a third weighted score of the kth indoor environment parameter of the target building in the target time period, wherein k is a positive integer, and the determining the weighted score of the distribution of the people of each indoor environment parameter according to the score of the environment parameter of each indoor environment parameter and the distribution weight of the people comprises:

6. The method of claim 5,

the determining a first weighted score according to the sum of the environmental parameter score of the kth indoor environmental parameter of the ith room at each moment of the target time period and the product of the first person distribution weight of the ith room at the corresponding moment comprises: determining the first weighted score according to the formula:

7. The method of claim 6, wherein the determining the first environment comprehensive score of each room and the second environment comprehensive score of the target building according to the personnel distribution weighted score of each indoor environment parameter and the preset weight value corresponding to each indoor environment parameter comprises:

8. The method of claim 7,

the determining the first environment comprehensive score of each room according to the sum of the products of the first weighted score of each indoor environment parameter of the ith room and the preset weighted value of the corresponding indoor environment parameter includes: determining the first environmental composite score according to the following formula:

9. A building environment evaluation system incorporating indoor personnel information, the system comprising:

the first calculation module is electrically connected to the acquisition module, and is configured to determine an environmental parameter score corresponding to each indoor environmental parameter, and determine a staff distribution weight according to the number of staff in each room at each time, where the staff distribution weight includes a first staff distribution weight of a single room in a time dimension, a second staff distribution weight of a single room in a space dimension, and a third staff distribution weight of a target building in a time dimension, where the determining of the staff distribution weight according to the number of staff in each room at each time includes at least one of: determining a first person distribution weight at the jth moment of the ith room according to a division result of the number of persons at the jth moment of the ith room and the sum of the number of persons at all moments of the ith room in the target time period, wherein i and j are positive integers; determining a second person distribution weight at the jth moment of the ith room according to a division result of the number of persons at the jth moment of the ith room and the sum of the number of persons at the jth moments of the multiple rooms; determining a third person distribution weight of the target building at the jth moment according to a division result of the sum of the number of persons at the jth moment of the plurality of rooms and the sum of the number of persons of the plurality of rooms at all moments of the target time period;