CN117267937B - Constant air supply device of micro-environment air supply system and air supply parameter adaptation method thereof - Google Patents
Constant air supply device of micro-environment air supply system and air supply parameter adaptation method thereof Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
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- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The invention discloses a constant air supply device of a micro-environment air supply system and an air supply parameter adaptation method thereof, which relate to the technical field of micro-environment air supply, and are characterized in that a person target in a video is detected and tracked through a computer vision technology, the action activity of all persons is calculated, the action activity of the persons in the micro-environment is evaluated, the displacement activity of all persons is calculated through continuous accumulation of displacement, the displacement activity of the persons in the micro-environment is evaluated, the air quality evaluation value of the micro-environment is calculated and obtained through micro-environment air quality data, the micro-environment dynamic comfort index is calculated, the micro-environment dynamic comfort index is evaluated, the air supply parameter is correspondingly controlled according to the evaluation result, and the purpose of adjusting the air supply parameter through the action activity of the micro-environment persons is achieved, and the comfort and the efficiency of the air supply system are improved.
Description
Technical Field
The invention relates to the technical field of micro-environment air supply, in particular to a constant air supply device of a micro-environment air supply system and an air supply parameter adaptation method thereof.
Background
With the continuous improvement of indoor air quality, the micro-environment air supply system is widely used because the micro-environment air supply system can effectively improve indoor air quality. However, the existing micro-environment air supply system usually only considers a single air supply parameter, such as air supply speed, air supply temperature, and the like, and ignores the influence of factors such as personnel activities, indoor air quality, outdoor climate, and the like on the air supply parameter. Therefore, how to automatically adjust the air supply parameters according to the actual situation so as to improve the indoor air quality and reduce the energy consumption is a current urgent problem to be solved.
In the chinese application of the application publication No. WO2021203710A1, a method and a system for controlling air supply of an air conditioner are disclosed, which are applied to an air conditioner, the air conditioner includes an infrared sensor and an object recognition sensor mounted on a main body of the air conditioner; the method comprises the following steps: determining an operating mode of the air conditioner, wherein the operating mode comprises: a cooling mode and/or a heating mode (S101); receiving a first detection signal output by the infrared sensor in the working mode of the air conditioner (S102), and receiving a second detection signal output by the object identification sensor in the working mode of the air conditioner (S103); the air deflector of the air conditioner is controlled based on the operation mode of the air conditioner, the first detection signal and the second detection signal to control the air supply path of the air supply port of the air conditioner (S104). The invention can flexibly control the air supply path of the air conditioner according to the indoor environment and the user demands, reduces energy waste and improves user experience.
In combination with the prior art, the following disadvantages exist:
1. the conventional micro-environment air supply system generally supplies air according to preset air supply parameters, and the parameters are set according to general conditions or design requirements, but cannot be dynamically adjusted according to the activity of actual personnel. If the number of indoor personnel is increased or reduced or the activity of the personnel is increased or reduced, for example, when the personnel performs intense activities, higher air quality and fluxion are required, when the personnel performs sitting still or lying still, the wind speed is required to be reduced, the wind inlet quantity is required to be reduced, and the conventional system cannot adjust the wind supply parameters in real time so as to better meet the requirements of micro-environments;
2. the comfort of the microenvironment is an integrated assessment, and various factors such as temperature, humidity, air quality, personnel activities and the like need to be considered, and the existing system generally only can provide a single air quality assessment, but cannot calculate an integrated comfort value by comprehensively considering other factors. Furthermore, existing systems typically provide only static comfort values and cannot be adjusted in real time according to personnel activities and environmental changes.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a constant air supply device of a micro-environment air supply system and an air supply parameter adapting method thereof, which are used for detecting and tracking personnel targets in videos through a computer vision technology, calculating to obtain action activities of all personnel, evaluating action activities of the personnel in the micro-environment, calculating the displacement activities of all the personnel through continuous accumulation of displacement amounts, evaluating the displacement activities of the personnel in the micro-environment, calculating to obtain an air quality evaluation value of the micro-environment through temperature, humidity, particulate matter concentration and carbon dioxide concentration, evaluating the air quality in the micro-environment, calculating a micro-environment dynamic comfort index through the action activities, displacement activities and air quality evaluation value of the personnel in the micro-environment, and correspondingly controlling the air supply parameters according to evaluation results to preset comfort threshold values, thereby solving the problems mentioned in the background art.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: an air supply parameter adapting method of a micro-environment air supply system comprises the following steps:
collecting personnel activity conditions and indoor air quality data in the microenvironment through a sensor and monitoring equipment, and transmitting the collected data to a storage end;
detecting and tracking personnel targets in the video through computer vision technology, and detecting average action amplitude in period TAverage action frequency->Calculating and obtaining action activity quantity AL of all people, and evaluating action activity conditions of the people in the microenvironment;
analyzing images captured by a camera through an image recognition and tracking technology to obtain the time of a personCoordinate displacement, calculating coordinate displacement amount corresponding to time t by using Euclidean distance algorithmCalculating displacement activity Ad of all people through continuous accumulation of displacement, and evaluating the displacement activity condition of the people in the microenvironment;
by temperature Td, humidity RH, particulate matter concentration PM2.5, and carbon dioxide concentrationComprehensively evaluating the air quality in the microenvironment, and calculating to obtain an air quality evaluation value Aq of the microenvironment;
the method comprises the steps of obtaining the action activity AL, the displacement activity Ad and weights omega 1, omega 2 and omega 3 corresponding to an air quality evaluation value Aq of a person in a micro-environment through an analytic hierarchy process, calculating a micro-environment dynamic comfort index MDI, presetting a comfort threshold, evaluating the micro-environment dynamic comfort index MDI, and performing corresponding control according to an evaluation result.
Further, the acquired video data is processed and analyzed through a computer vision technology, personnel targets in the video are detected and tracked, and limb movement information of each personnel in each time period is obtained, wherein the limb movement information comprises movement amplitudeAnd action frequency->；
By the magnitude of each person's motion during each time periodAnd frequency->Calculating to obtain average action amplitude of each person in a period of time>And average motionFrequency of doing->：
，
Where i is denoted as a label for each time period, j is denoted as a label for a single person,is the number of time periods.
Further, the average motion amplitude of each person in the detection period T is obtainedAverage action frequency->And the number of the personnel in the micro-environment, after dimensionless processing, calculating and obtaining the action activity quantity AL of all the personnel, evaluating the action activity condition of the personnel in the micro-environment, wherein the calculation formula is as follows:
，
where j represents the label of a single person, m represents the number of persons,and T is in minutes.
Further, the image captured by the camera is analyzed through an image recognition and tracking technology, the position of the person is detected and tracked, and the displacement information of the person is extracted;
acquiring the coordinate displacement of a person between two moments, namely the movement distance, calculating the coordinate displacement by using a Euclidean distance algorithm, and corresponding to the coordinate displacement at the moment tComputational formulas such asThe following steps:
，
wherein,represented as abscissa of personnel at time t, < >>Expressed as abscissa at the moment t,/->Expressed as ordinate of person at time t, < >>Represented as the ordinate at the time instant t.
Further, all displacement amounts of each person in the detection period T and the number of the persons in the microenvironment are obtained, the displacement activity amounts Ad of all the persons are calculated through continuous accumulation of the movement distances, the displacement activity conditions of the persons in the microenvironment are evaluated, and the calculation formula is as follows:
，
where m is denoted as the number of people and n is denoted as the total number of moments T in the detection period T.
Further, the temperature, humidity, particulate matter concentration and carbon dioxide concentration in the microenvironment are obtained, and the temperature Td, humidity RH, particulate matter concentration PM2.5 and carbon dioxide concentration are obtainedAs an air quality evaluation index;
by temperature Td, humidity RH, particulate matter concentration PM2.5, and carbon dioxide concentrationAfter dimensionless treatment, the micro-environment is treatedThe air quality in the air conditioner is comprehensively evaluated, and an air quality evaluation value Aq of the micro environment is obtained through calculation, wherein the calculation formula is as follows:
，
wherein k1, k2, k3 and k4 are weight coefficients of temperature, humidity, particulate matter concentration and carbon dioxide concentration respectively,，/>，/>，/>and->。
Further, an action activity amount AL, a displacement activity amount Ad and an air quality evaluation value Aq of personnel in the microenvironment are obtained;
acquiring weights omega 1, omega 2 and omega 3 corresponding to the action activity AL, the displacement activity Ad and the air quality evaluation value Aq of the personnel in the microenvironment by using an analytic hierarchy process;
the method comprises the steps of carrying out dimensionless treatment on weights omega 1, omega 2 and omega 3 corresponding to an action activity amount AL, a displacement activity amount Ad and an air quality evaluation value Aq of personnel in a microenvironment, substituting the dimensionless treatment result into a formula, calculating a microenvironment dynamic comfort index MDI, and evaluating the dynamic environment of the microenvironment:
，
the formula corresponding to the micro-environment dynamic comfort index MDI is as above.
Further, comfort level thresholds Y1 and Y2 are preset, and when the dynamic comfort level index MDI of the micro-environment is larger than or equal to the comfort level threshold Y2, air supply parameters are controlled, including air supply temperature is reduced, air supply speed is improved, and air supply quantity is increased;
when the microenvironment dynamic comfort index MDI is smaller than the comfort threshold Y1, the air supply parameters are controlled, including increasing the air supply temperature, decreasing the air supply speed, and decreasing the air supply volume, so as to reduce the energy consumption.
The constant air supply device of the micro-environment air supply system comprises a data acquisition module, a data storage module, a personnel activity analysis module, an air quality analysis module and a control module; wherein,
the data acquisition module is used for collecting personnel activity conditions and indoor air quality data in the microenvironment through the sensor and the monitoring equipment and transmitting the collected data to the storage end;
the data storage module is used for storing various data, including micro-environment air quality data, personnel activity data and equipment operation data acquired by the data acquisition module;
the personnel activity analysis module is used for detecting and tracking personnel targets in the video through a computer vision technology, calculating and obtaining action activities of all personnel, evaluating action activities of the personnel in the microenvironment, calculating displacement activities of all the personnel through continuous accumulation of displacement amounts, and evaluating the displacement activities of the personnel in the microenvironment;
the air quality analysis module is used for calculating and obtaining an air quality evaluation value of the microenvironment through temperature, humidity, particulate matter concentration and carbon dioxide concentration, and evaluating the air quality in the microenvironment;
the control module calculates the dynamic comfort index of the microenvironment according to the action activity, displacement activity and air quality evaluation value of personnel in the microenvironment, evaluates the dynamic comfort index of the microenvironment according to the preset comfort threshold value, and correspondingly controls the air supply parameter according to the evaluation result.
(III) beneficial effects
The invention provides a constant air supply device of a micro-environment air supply system and an air supply parameter adaptation method thereof, which have the following beneficial effects:
(1) The personnel targets in the video are detected and tracked through the computer vision technology, the average action amplitude and the average action frequency in the detection period T are calculated, the activity condition of personnel in the microenvironment can be evaluated, the requirements and the conditions of the personnel can be better known, and accordingly the air supply parameters are adjusted according to the actual requirements of the personnel, and the comfort and the efficiency of the air supply system are improved.
(2) The images captured by the cameras are analyzed through the image recognition and tracking technology, the displacement activity condition of the personnel in the microenvironment is evaluated, the distribution and the behavior mode of the personnel in the microenvironment can be known, and therefore the energy utilization of the air supply system is optimized, for example, if the personnel are found to be frequently gathered in a certain area in a certain time period, the air supply system can automatically adjust the wind speed and the wind temperature of the area, and the efficient utilization of the energy is realized.
(3) The air quality in the microenvironment is comprehensively evaluated through the temperature, the humidity, the particle concentration and the carbon dioxide concentration, so that the air quality condition in the microenvironment can be known, corresponding measures are timely taken, the air quality of the microenvironment is improved, the indoor pollutant concentration is reduced, the indoor air quality is improved, and the health and the comfort level of personnel are guaranteed.
(4) Through action activity, displacement activity and air quality evaluation value of real-time supervision personnel in the microenvironment to adjust microenvironment air supply arrangement's air supply parameter, can satisfy personnel's comfort level demand better, improve the comfort level of work and living environment, can control microenvironment air supply arrangement's energy consumption and emission more accurately, realize saving and the environmental protection of energy.
Drawings
FIG. 1 is a flow chart of a method for adapting air supply parameters of a micro-environment air supply system according to the present invention;
FIG. 2 is a schematic diagram of a constant air supply device in a micro-environment according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a method for adapting air supply parameters of a micro-environment air supply system, comprising the following steps:
step one: collecting personnel activity conditions and indoor air quality data in the microenvironment through a sensor and monitoring equipment, and transmitting the collected data to a storage end;
the first step comprises the following steps:
step 101: collecting data of the activity condition of personnel in the microenvironment through monitoring equipment, and collecting the temperature, humidity, particulate matter concentration and carbon dioxide concentration of the microenvironment through a temperature and humidity sensor, a particulate matter concentration sensor and a carbon dioxide concentration sensor;
step 102: and preprocessing the collected data, including denoising and standardization, and transmitting the preprocessed data to a storage end.
In use, the contents of steps 101 to 102 are combined:
the system collects the personnel activity condition and indoor air quality data in the microenvironment through the sensor and the monitoring equipment, and preprocesses the collected data, so that noise and abnormal values in the collected data can be removed, the integrity and accuracy of the data are ensured, the actual condition in the microenvironment is reflected better, and better support is provided for subsequent data analysis and decision.
Step two: detecting and tracking personnel targets in the video through a computer vision technology, and obtaining the average action amplitude in a detection period TAverage action frequency->Calculating and obtaining action activity quantity AL of all people, and evaluating action activity conditions of the people in the microenvironment;
the second step comprises the following steps:
step 201: the acquired video data is processed and analyzed through a computer vision technology, personnel targets in the video are detected and tracked, and limb movement information of each personnel in each time period is acquired, wherein the limb movement information comprises movement amplitudeAnd action frequency->；
Step 202: by the magnitude of each person's motion during each time periodAnd frequency->Calculating to obtain average action amplitude of each person in a period of time>Average action frequency->：
，
Where i is denoted as a label for each time period, j is denoted as a label for a single person,is the number of time periods;
step 203: obtaining the average action amplitude of each person in the detection period TAverage action frequency->And the number of the personnel in the micro-environment, after dimensionless processing, calculating and obtaining the action activity quantity AL of all the personnel, evaluating the action activity condition of the personnel in the micro-environment, wherein the calculation formula is as follows:
，
where j represents the label of a single person, m represents the number of persons,and T is in minutes.
It should be noted that, according to the obtained limb movement data of the person, the person movement amplitude and frequency of each time point are calculated, the movement amplitude may be defined as the amplitude of the characteristics such as the speed, direction, distance, etc. of the limb movement, and the movement frequency may be defined as the number of times or period of the limb movement in unit time.
In use, the contents of steps 201 to 203 are combined:
the personnel targets in the video are detected and tracked through the computer vision technology, the average action amplitude and the average action frequency in the detection period T are calculated, the activity condition of personnel in the microenvironment can be evaluated, the requirements and the conditions of the personnel can be better known, and accordingly the air supply parameters are adjusted according to the actual requirements of the personnel, and the comfort and the efficiency of the air supply system are improved.
Step three: analyzing the image captured by the camera through an image recognition and tracking technology, acquiring the coordinate displacement of a person between two moments, and calculating the coordinate displacement quantity at the corresponding moment t by using a Euclidean distance algorithmCalculating displacement activity Ad of all people through continuous accumulation of displacement, and evaluating the displacement activity condition of the people in the microenvironment;
the third step comprises the following steps:
step 301: analyzing the image captured by the camera through an image recognition and tracking technology, detecting and tracking the position of the person, and extracting the displacement information of the person;
step 302: acquiring the coordinate displacement of a person between two moments, namely the movement distance, calculating the coordinate displacement by using a Euclidean distance algorithm, and corresponding to the coordinate displacement at the moment tThe calculation formula is as follows:
，
wherein,represented as abscissa of personnel at time t, < >>Expressed as abscissa at the moment t,/->Expressed as ordinate of person at time t, < >>Represented as ordinate at the next time t;
step 303: all displacement amounts of each person in the detection period T and the number of the persons in the microenvironment are obtained, the displacement activity amounts Ad of all the persons are calculated through continuous accumulation of the movement distances, the displacement activity conditions of the persons in the microenvironment are evaluated, and the calculation formula is as follows:
，
where m is denoted as the number of people and n is denoted as the total number of moments T in the detection period T.
It should be noted that, accuracy and stability of the image recognition and tracking technology have an important influence on the calculation and evaluation result of the displacement activity Ad, so in practical application, an appropriate algorithm and technology need to be selected, and sufficient test and verification need to be performed to ensure that the acquired data is accurate and reliable, and meanwhile, the problem related to personal privacy needs to be paid attention to protection and use specification of the data.
In use, the contents of steps 301 to 303 are combined:
the images captured by the cameras are analyzed through the image recognition and tracking technology, the displacement activity condition of the personnel in the microenvironment is evaluated, the distribution and the behavior mode of the personnel in the microenvironment can be known, and therefore the energy utilization of the air supply system is optimized, for example, if the personnel are found to be frequently gathered in a certain area in a certain time period, the air supply system can automatically adjust the wind speed and the wind temperature of the area, and the efficient utilization of the energy is realized.
Step four: by temperature Td, humidity RH, particulate matter concentration PM2.5, and carbon dioxide concentrationComprehensively evaluating the air quality in the microenvironment, and calculating to obtain an air quality evaluation value Aq of the microenvironment;
the fourth step comprises the following steps:
step 401: acquiring temperature, humidity, particulate matter concentration PM2.5 and carbon dioxide concentration in the microenvironment, and setting temperature Td, humidity RH, particulate matter concentration PM2.5 and carbon dioxide concentrationAs an air quality evaluation index;
step 402: by temperature Td, humidity RH, particulate matter concentration PM2.5, and carbon dioxide concentrationAfter dimensionless treatment, comprehensively evaluating the air quality in the microenvironment, and calculating to obtain an air quality evaluation value Aq of the microenvironment, wherein the calculation formula is as follows:
，
wherein k1, k2, k3 and k4 are weight coefficients of temperature, humidity, particulate matter concentration and carbon dioxide concentration respectively,，/>，/>，/>and->；
It should be noted that, a person skilled in the art collects multiple groups of sample data and sets a corresponding preset scaling factor for each group of sample data; substituting the preset proportionality coefficient, which can be the preset proportionality coefficient and the acquired sample data, into a formula, forming a quaternary once equation set by any four formulas, screening the calculated coefficient, taking an average value, and obtaining a value;
the magnitude of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, the magnitude of the coefficient depends on the number of sample data and the corresponding preset proportional coefficient preliminarily set by a person skilled in the art for each group of sample data, that is, the coefficient is preset according to the actual practice, so long as the proportional relation between the parameter and the quantized numerical value is not influenced, and the above description is also adopted for the preset proportional coefficient and the constant correction coefficient described in other formulas.
In use, the contents of steps 401 to 402 are combined:
the air quality in the microenvironment is comprehensively evaluated through the temperature, the humidity, the particle concentration and the carbon dioxide concentration, so that the air quality condition in the microenvironment can be known, corresponding measures are timely taken, the air quality of the microenvironment is improved, the indoor pollutant concentration is reduced, the indoor air quality is improved, and the health and the comfort level of personnel are guaranteed.
Step five: the method comprises the steps of obtaining action activity AL, displacement activity Ad and air quality evaluation value Aq of personnel in a micro-environment, obtaining weights omega 1, omega 2 and omega 3 corresponding to the action activity AL, the displacement activity Ad and the air quality evaluation value Aq of the personnel in the micro-environment through a hierarchical analysis method, calculating a micro-environment dynamic comfort index MDI, presetting a comfort threshold value, evaluating the micro-environment dynamic comfort index MDI, and performing corresponding control according to an evaluation result.
The fifth step comprises the following steps:
step 501: acquiring action activity amount AL, displacement activity amount Ad and air quality evaluation value Aq of personnel in the microenvironment;
step 502: acquiring weights omega 1, omega 2 and omega 3 corresponding to the action activity AL, the displacement activity Ad and the air quality evaluation value Aq of the personnel in the microenvironment by using an analytic hierarchy process;
step 503: the method comprises the steps of carrying out dimensionless treatment on weights omega 1, omega 2 and omega 3 corresponding to an action activity amount AL, a displacement activity amount Ad and an air quality evaluation value Aq of personnel in a microenvironment, substituting the dimensionless treatment result into a formula, calculating a microenvironment dynamic comfort index MDI, and evaluating the dynamic environment of the microenvironment:
，
the formula corresponding to the micro-environment dynamic comfort index MDI is as above;
step 504: presetting comfort level thresholds Y1 and Y2, and when a microenvironment dynamic comfort level index MDI is greater than or equal to the comfort level threshold Y2, indicating that the comfort level of the microenvironment is poor, and controlling air supply parameters, including reducing air supply temperature, improving air supply speed and increasing air supply quantity;
when the microenvironment dynamic comfort index MDI is smaller than the comfort threshold Y1, the air supply parameters are controlled, including increasing the air supply temperature, decreasing the air supply speed, and decreasing the air supply volume, so as to reduce the energy consumption.
It should be noted that, according to actual requirements and situations, appropriate thresholds and judgment standards may be selected to evaluate and early warn the dynamic comfort index MDI of the micro environment, for example, when the MDI is higher than a certain threshold, the comfort of the micro environment may be considered to be poor, and adjustment and improvement are required.
In use, the contents of steps 501 to 504 are combined:
through action activity, displacement activity and air quality evaluation value of real-time supervision personnel in the microenvironment to adjust microenvironment air supply arrangement's air supply parameter, can satisfy personnel's comfort level demand better, improve the comfort level of work and living environment, can control microenvironment air supply arrangement's energy consumption and emission more accurately, realize saving and the environmental protection of energy.
Referring to fig. 2, the present invention further provides a constant air supply device of a micro-environment air supply system, including: the system comprises a data acquisition module, a data storage module, a personnel activity analysis module, an air quality analysis module and a control module; wherein,
the data acquisition module is used for collecting personnel activity conditions and indoor air quality data in the microenvironment through the sensor and the monitoring equipment and transmitting the collected data to the storage end;
the data storage module is used for storing various data, including micro-environment air quality data, personnel activity data and equipment operation data acquired by the data acquisition module;
the personnel activity analysis module is used for detecting and tracking personnel targets in the video through a computer vision technology, calculating and obtaining action activities of all personnel, evaluating action activities of the personnel in the microenvironment, calculating displacement activities of all the personnel through continuous accumulation of displacement amounts, and evaluating the displacement activities of the personnel in the microenvironment;
the air quality analysis module is used for calculating and obtaining an air quality evaluation value of the microenvironment through temperature, humidity, particulate matter concentration and carbon dioxide concentration, and evaluating the air quality in the microenvironment;
the control module calculates the dynamic comfort index of the microenvironment according to the action activity, displacement activity and air quality evaluation value of personnel in the microenvironment, evaluates the dynamic comfort index of the microenvironment according to the preset comfort threshold value, and correspondingly controls the air supply parameter according to the evaluation result.
In the application, the related formulas are all the numerical calculation after dimensionality removal, and the formulas are one formulas for obtaining the latest real situation by software simulation through collecting a large amount of data, and the formulas are set by a person skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application.
Claims (1)
1. The air supply parameter adapting method of the micro-environment air supply system is characterized by comprising the following steps of:
collecting personnel activity conditions and indoor air quality data in the microenvironment through a sensor and monitoring equipment, and transmitting the collected data to a storage end;
detecting and tracking personnel targets in the video through a computer vision technology, and obtaining the average action amplitude in a detection period TAverage action frequency->The action activity amount AL of all the personnel is calculated and obtained, and the action activity condition of the personnel in the micro-environment is evaluated, which comprises the following steps:
processing and analyzing the collected video data, detecting and tracking personnel targets in the video, and acquiring limb motion information of each personnel in each time period, wherein the limb motion information comprises a motion amplitude Am i And an operation frequency Af i ；
By the amplitude Am of the motion of each person in each time period i And frequency Af i Calculating to obtain average motion amplitude of each person in a period of timeAverage action frequency->
Wherein i is represented as a mark for each time period, j is represented as a mark for a single person, and N is the number of time periods;
obtaining the average action amplitude of each person in the detection period TAverage action frequency->And the number of the personnel in the microenvironment is subjected to dimensionless treatment, the action activity amount AL of all the personnel is calculated and obtained, the action activity condition of the personnel in the microenvironment is evaluated, and the calculation formula is as follows:
where j represents the label of a single person, m represents the number of persons, T >0, and T is in minutes;
analyzing the image captured by the camera through an image recognition and tracking technology, acquiring the coordinate displacement of a person between two moments, and calculating the coordinate displacement Dt of the corresponding moment t by using a Euclidean distance algorithm t Calculating displacement activity Ad of all people through continuous accumulation of displacement, and evaluating the displacement activity condition of the people in the microenvironment, comprising the following steps:
analyzing the image captured by the camera through an image recognition and tracking technology, detecting and tracking the position of the person, and extracting the displacement information of the person;
acquiring the coordinate displacement, namely the movement distance, of a person between two moments, calculating the coordinate displacement by using a Euclidean distance algorithm, and corresponding to the coordinate displacement Dt of the moment t t The calculation formula is as follows:
wherein x is t Represented as the abscissa of the person at time t, x t-1 Expressed as the abscissa at the moment t, y t Expressed as the ordinate of the person at time t, y t-1 Denoted as at tA time ordinate;
all displacement amounts of each person in the detection period T and the number of the persons in the microenvironment are obtained, the displacement activity amounts Ad of all the persons are calculated through continuous accumulation of the movement distances, the displacement activity conditions of the persons in the microenvironment are evaluated, and the calculation formula is as follows:
wherein m is represented as the number of people, and n is represented as the total number of time T in the detection period T;
by temperature Td, humidity RH, particulate matter concentration PM2.5, and carbon dioxide concentration CO 2 The method for comprehensively evaluating the air quality in the micro-environment comprises the following steps of:
acquiring temperature, humidity, particulate matter concentration and carbon dioxide concentration in the microenvironment, and obtaining temperature Td, humidity RH, particulate matter concentration PM2.5 and carbon dioxide concentration CO 2 As an air quality evaluation index;
by temperature Td, humidity RH, particulate matter concentration PM2.5, and carbon dioxide concentration CO 2 After dimensionless treatment, comprehensively evaluating the air quality in the microenvironment, and calculating to obtain an air quality evaluation value Aq of the microenvironment, wherein the calculation formula is as follows:
Aq＝k1*Td+k2*RH+k3*PM2.5+k4*CO 2
wherein k1, k2, k3, k4 are weight coefficients of temperature, humidity, particulate matter concentration and carbon dioxide concentration, respectively, 0< k1<1,0< k2<1,0< k3<1,0< k4<1, and k1+k2+k3+k4=1;
the method comprises the steps of obtaining the action activity AL, the displacement activity Ad and the weights omega 1, omega 2 and omega 3 corresponding to the air quality evaluation value Aq of a person in a micro-environment through an analytic hierarchy process, calculating a micro-environment dynamic comfort index MDI, presetting a comfort threshold value, evaluating the micro-environment dynamic comfort index MDI, and correspondingly controlling according to an evaluation result, wherein the method comprises the following steps:
acquiring action activity amount AL, displacement activity amount Ad and air quality evaluation value Aq of personnel in the microenvironment;
acquiring weights omega 1, omega 2 and omega 3 corresponding to the action activity AL, the displacement activity Ad and the air quality evaluation value Aq of the personnel in the microenvironment by using an analytic hierarchy process;
the method comprises the steps of carrying out dimensionless treatment on weights omega 1, omega 2 and omega 3 corresponding to an action activity amount AL, a displacement activity amount Ad and an air quality evaluation value Aq of personnel in a microenvironment, substituting the dimensionless treatment result into a formula, calculating a microenvironment dynamic comfort index MDI, and evaluating the dynamic environment of the microenvironment:
MDI＝ω1*AL+ω2*Ad+ω3*Aq
the formula corresponding to the micro-environment dynamic comfort index MDI is as above;
presetting comfort level thresholds Y1 and Y2, and controlling air supply parameters when the dynamic comfort level index MDI of the micro environment is larger than or equal to the comfort level threshold Y2, wherein the air supply parameters comprise air supply temperature reduction, air supply speed improvement and air supply quantity increase;
when the microenvironment dynamic comfort index MDI is smaller than the comfort threshold Y1, the air supply parameters are controlled, including the air supply temperature is improved, the air supply speed is reduced, the air supply quantity is reduced, and the energy consumption is reduced.
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