CN115493271A - Intelligent air conditioner energy-saving method and system based on human body fitness - Google Patents

Intelligent air conditioner energy-saving method and system based on human body fitness Download PDF

Info

Publication number
CN115493271A
CN115493271A CN202211300597.2A CN202211300597A CN115493271A CN 115493271 A CN115493271 A CN 115493271A CN 202211300597 A CN202211300597 A CN 202211300597A CN 115493271 A CN115493271 A CN 115493271A
Authority
CN
China
Prior art keywords
current
air conditioner
user
comfort level
comfort
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211300597.2A
Other languages
Chinese (zh)
Inventor
张慧
宋茜
董亚倩
濮东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuxi Tongfang Artificial Environment Co Ltd
Original Assignee
Wuxi Tongfang Artificial Environment Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuxi Tongfang Artificial Environment Co Ltd filed Critical Wuxi Tongfang Artificial Environment Co Ltd
Priority to CN202211300597.2A priority Critical patent/CN115493271A/en
Publication of CN115493271A publication Critical patent/CN115493271A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • 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
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/52—Indication arrangements, e.g. displays
    • 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
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • 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
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/65—Electronic processing for selecting an operating mode
    • 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
    • F24F11/88—Electrical aspects, e.g. circuits
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/20—Humidity
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/30—Velocity
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/10—Occupancy

Abstract

The invention relates to the technical field of central air conditioners, and particularly discloses an intelligent air conditioner energy-saving method based on human body fitness, which comprises the following steps: collecting current indoor environment parameters and current air conditioner running state parameters; inputting user information, calling a human body comfort model, and calculating the current indoor environment parameter and the current air conditioner running state parameter to obtain the current comfort level of the user; outputting a current air conditioner control instruction according to the current comfort level of the user; and adjusting the current running state of the air conditioner according to the current air conditioner control instruction. The invention also discloses an intelligent air conditioner energy-saving system based on the human body fitness. According to the intelligent air conditioner energy-saving method based on the human body fitness, the human body comfort level is calculated by calling the human body comfort level model, the set value of the air conditioner is dynamically adjusted to improve the indoor environment, the electric power consumption is saved, the working efficiency of people is improved, and the physical and mental health is improved.

Description

Intelligent air conditioner energy-saving method and system based on human body fitness
Technical Field
The invention relates to the technical field of intelligent air conditioners, in particular to an intelligent air conditioner energy-saving method based on human body fitness and an intelligent air conditioner energy-saving system based on human body fitness.
Background
According to survey statistics, the method comprises the following steps: most people are indoors 80% of the time each day, i.e. at least 20 hours each day, and some internet workers are even indoors 90% of the time each day, so that the study of good indoor environment becomes especially important, and not only the health and mood of human beings but also the working efficiency of many employees are affected. The expert has done experiments to show that: the working efficiency of human beings in a comfortable environment is about 18 percent higher than that in a overheated or supercooled environment, because the attention of human beings is hard to concentrate in the supercooled or supercooled environment, and the health of human beings is influenced in the adverse environment for a long time.
With the rapid development of economy in China, the income per capita is continuously increased, and the requirement of people on the comfort level of living environment is continuously improved, wherein the air conditioner is a necessity for people working, studying and daily life in the modern society, but because of a large amount of use of the air conditioner, a large amount of electric power is consumed to pollute the environment, and people can get 'air-conditioning diseases' after being in an air-conditioned room for a long time, namely symptoms such as headache, nasal obstruction, heating, poor immunity and the like can occur. Because the temperature of air conditioner is set up through people's subjective consciousness at present, long-time back indoor supercooling or overheated phenomenon will appear, people again passively go to adjust the temperature, and human comfort level is experienced and is felt very badly, also is liable to infect "air conditioner disease", can cause cerebrovascular and respiratory disease seriously. Therefore, the method has great significance for the research on the comfort level of the air conditioner.
Disclosure of Invention
Aiming at the defects and shortcomings in the prior art, the invention provides an intelligent air conditioner energy-saving method and system based on human body fitness.
As a first aspect of the present invention, there is provided an intelligent air-conditioning energy-saving method based on human fitness, including:
step S1: collecting current indoor environment parameters and current air conditioner running state parameters;
step S2: inputting user information, calling a human body comfort model, and calculating the current indoor environment parameter and the current air conditioner running state parameter to obtain the current comfort level of the user;
and step S3: outputting a current air conditioner control instruction according to the current comfort level of the user;
and step S4: and adjusting the current running state of the air conditioner according to the current air conditioner control instruction.
Further, the current indoor environment parameters include: an indoor ambient temperature Tn, an indoor average ambient temperature Ta, an indoor average wind speed V, an indoor relative humidity RH, and an indoor optimum relative humidity RHs.
Furthermore, the human body comfort level model is used for calculating the deviation of the optimal human body comfort level value and the theoretical optimal comfort level value in a certain place by utilizing a golden section rate model, and is used for dynamically dividing and adjusting a comfort level grade area; the comfort level area is divided into a high-temperature area, a low-temperature area and a comfort area; and if the comfort level area is a high-temperature area or a low-temperature area, improving the indoor environment by dynamically adjusting the running state of the air conditioner until the comfort level area is a comfort area.
Further, the outputting a current air conditioner control instruction according to the current comfort level of the user further includes:
and determining a current air conditioner control instruction matched with the current comfort level of the user according to the corresponding relation between the comfort level of the user and the set air conditioner control instruction, and outputting the current air conditioner control instruction.
As another aspect of the present invention, there is provided an intelligent air-conditioning energy-saving system based on human fitness, comprising an air-conditioning control terminal line controller and a cloud monitoring management platform, wherein,
the air conditioner control terminal line controller is used for acquiring current indoor environment parameters and current air conditioner running state parameters and uploading the current indoor environment parameters and the current air conditioner running state parameters to the cloud monitoring management platform;
the cloud monitoring management platform is used for inputting user information, calling a human body comfort level model, and calculating the current indoor environment parameter and the current air conditioner running state parameter to obtain the current comfort level of the user; outputting a current air conditioner control instruction to the air conditioner control terminal wire controller according to the current comfort level of the user;
and the air conditioner control terminal wire controller is used for adjusting the current running state of the air conditioner according to the current air conditioner control instruction.
Further, the current indoor environment parameters include: indoor ambient temperature Tn, indoor average ambient temperature Ta, indoor average wind speed V, indoor relative humidity RH, and indoor optimum relative humidity RHs.
Furthermore, the human body comfort level model is used for calculating the deviation of the optimal human body comfort level value and the theoretical optimal comfort level value of a certain place by utilizing a golden section rate model and dynamically dividing and adjusting comfort level grade areas; the comfort level area is divided into a high-temperature area, a low-temperature area and a comfort area; and if the comfort level area is a high-temperature area or a low-temperature area, improving the indoor environment by dynamically adjusting the running state of the air conditioner until the comfort level area is a comfort area.
Further, the human comfort model is calculated as follows:
(1) According to the geographical position of the user
Figure BDA0003904503400000022
And the current month M, calculating the optimal human body comfort value Ts of the location of the user, and calculating a deviation value Dt between the optimal human body comfort value Ts of the location of the user and the theoretical optimal comfort value, wherein the calculation formula of the deviation value Dt is as follows:
Dt＝22.7-Ts
wherein 22.7 is the theoretical optimal comfort value calculated by multiplying the average body temperature of 36.75 ℃ by the golden section ratio of 0.618;
wherein the content of the first and second substances,
Figure BDA0003904503400000021
(2) Calculating the average sensible temperature Tg of the user according to the indoor average environment temperature Ta, the indoor average wind speed V, the indoor relative humidity RH, the indoor optimal relative humidity RHs and the optimal human body comfort value Ts, wherein the calculation formula of the average sensible temperature Tg of the user is as follows:
tg = Ta + A { exp [0.05 (Ta-Ts) (RH-RHs) ] -1} -0.03 (Ta-Ts) V when Ta ≧ Ts;
tg = Ta-a { exp [0.013 (Ts-Ta) (RH-RHs) ] -1} -0.01 (Ts-Ta) V when Ta < Ts;
wherein the coefficient a =36.5 ≈ 14 (1-0.618);
(3) Calculating a deviation standard according to the average somatosensory temperature Tg and the deviation value Dt of the user, and dividing a human body comfort level;
(4) And determining the human body comfort level matched with the current average body sensing temperature Tg of the user according to the corresponding relation between the average body sensing temperature Tg of the user and the divided human body comfort level so as to obtain the current comfort level of the user.
Further, the cloud monitoring management platform is further configured to determine a current air conditioner control instruction matched with the current comfort level of the user according to the corresponding relationship between the comfort level of the user and the set air conditioner control instruction, and output the current air conditioner control instruction to the air conditioner control terminal line controller.
Furthermore, the cloud monitoring management platform also comprises a user login registration module, a user information updating module, a user management module, an air conditioning equipment management module, an air conditioning data statistics module and an alarm prompt module;
the user login registration module is used for verifying the login account and the login password information of the user and inquiring the user information by utilizing a database MySQL;
the user information updating module is used for modifying the user information and the user login password information and updating the user information by utilizing a database MySQL;
the user management module is used for managing the information data of the sub-users by the user, adding or deleting the information records of the sub-users and performing addition and deletion operations by utilizing the database MySQL;
the air conditioning equipment management module is used for monitoring, recording and inquiring air conditioning equipment data, realizing batch air conditioning equipment management, distributing and binding air conditioning equipment to sub-users, and performing correlation operation on a user table and an air conditioning equipment table by utilizing a database MySQL;
the air conditioner data statistical module is used for performing visual display on the collected air conditioner running state data, storing historical data and calling a human body comfort degree model to calculate a comfort degree index;
and the alarm prompt module is used for acquiring alarm information of the air conditioning equipment and storing historical alarm information in real time.
The intelligent air conditioner energy-saving method based on the human body fitness provided by the invention has the following advantages: the air conditioner control terminal acquires air conditioner parameters and environmental parameters, receives an air conditioner instruction and uploads the data to the cloud platform, and the cloud monitoring management platform receives the data of the air conditioner control terminal and performs data storage, processing, analysis and visual display, namely user information and air conditioner equipment information management, air conditioner data statistics and alarm prompt; compared with the traditional artificial passive temperature setting, the method can calculate the human comfort index by calling the human comfort model, dynamically adjust the set value of the air conditioner to improve the indoor environment, save the power consumption, improve the working efficiency of people and improve the physical and mental health.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a flowchart of an intelligent air conditioner energy-saving method based on human fitness provided by the invention.
Fig. 2 is a flowchart of a specific embodiment of an intelligent air conditioner energy saving method based on human fitness according to the present invention.
Fig. 3 is a schematic diagram of an intelligent air-conditioning energy-saving system based on human fitness provided by the invention.
Fig. 4 is a flowchart of the work flow of the cloud monitoring management platform provided in the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the invention herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this embodiment, a method for saving energy of an intelligent air conditioner based on human fitness is provided, and fig. 1 is a flowchart of the method for saving energy of an intelligent air conditioner based on human fitness according to the present invention, as shown in fig. 1, the method for saving energy of an intelligent air conditioner based on human fitness includes:
step S1: collecting current indoor environment parameters and current air conditioner running state parameters; the current air conditioner operation state parameters comprise parameters such as current, voltage and probability in the air conditioner operation;
step S2: inputting user information, calling a human body comfort level model, and calculating the current indoor environment parameter and the current air conditioner running state parameter to obtain the current comfort level of the user; wherein, the user information comprises personal basic information and the geographic position
Figure BDA0003904503400000041
(latitude) and current month M;
it should be noted that, the human comfort model is selected as follows: and (3) calculating a human body comfort degree calculation model based on the golden section rate.
And step S3: outputting a current air conditioner control instruction according to the current comfort level of the user;
and step S4: and adjusting the current running state of the air conditioner according to the current air conditioner control instruction.
Preferably, the current indoor environment parameter includes: indoor ambient temperature Tn, indoor average ambient temperature Ta, indoor average wind speed V, indoor relative humidity RH, and indoor optimum relative humidity RHs. When there is precipitation, RHS =61.8%, when there is no precipitation, RHS =50%.
Preferably, the human body comfort level model is used for calculating the deviation between the human body optimal comfort level value and the theoretical optimal comfort level value of a certain place by using a golden section rate model, and is used for dynamically dividing and adjusting a comfort level grade area; the comfort level area is divided into a high-temperature area, a low-temperature area and a comfort area; if the comfort level area is a high-temperature area or a low-temperature area, the indoor environment is improved by dynamically adjusting the running state of the air conditioner until the comfort level area is a comfort area, namely, the comfort level of the human body is changed in the comfort area.
Preferably, the human comfort model is calculated as follows:
(1) According to the geographical position of the user
Figure BDA0003904503400000042
And the current month M, calculating the optimal human body comfort value Ts of the location of the user, and calculating a deviation value Dt between the optimal human body comfort value Ts of the location of the user and the theoretical optimal comfort value, wherein the calculation formula of the deviation value Dt is as follows:
Dt＝22.7-Ts
wherein 22.7 is the theoretical optimal comfort value calculated by multiplying the average body temperature of 36.75 ℃ by the golden section ratio of 0.618;
wherein due to different geographical locations
Figure BDA0003904503400000053
And the optimum value of the comfort level of the human body caused by the month M, therefore
Figure BDA0003904503400000051
It should be noted that, in order to reduceFew geographical locations
Figure BDA0003904503400000054
The impact on the optimal comfort value, i.e. the higher the dimensionality, the less the solar radiation, the lower the optimal comfort value of the human body, which needs to be corrected, i.e.: [1-0.3sin (phi-23.5)]The influence of the regression line is small, so that correction is not needed;
it should be noted that, in order to consider the influence of different seasons on the optimal comfort value of the human body, that is, the optimal comfort level of the human body in summer is higher than the optimal comfort level of the human body in winter, it needs to be corrected, that is: 0.3cos 2 ° (M-1) ];
(2) Calculating the average sensible temperature Tg of the user according to the indoor average environment temperature Ta, the indoor average wind speed V, the indoor relative humidity RH, the indoor optimal relative humidity RHs and the optimal human body comfort value Ts, wherein the calculation formula of the average sensible temperature Tg of the user is as follows:
tg = Ta + A { exp [0.05 (Ta-Ts) (RH-RHs) ] -1} -0.03 (Ta-Ts) V when Ta ≧ Ts;
tg = Ta-a { exp [0.013 (Ts-Ta) (RH-RHs) ] -1} -0.01 (Ts-Ta) V when Ta < Ts;
wherein the coefficient a =36.5 ≈ 14 (1-0.618);
(3) Calculating a deviation standard according to the average somatosensory temperature Tg and the deviation value Dt of the user, and dividing a human body comfort level;
(4) And determining the human comfort level matched with the current average body sensing temperature Tg of the user according to the corresponding relation between the average body sensing temperature Tg of the user and the divided human comfort level so as to obtain the current comfort level of the user.
Specific human comfort level area division is shown in table one:
watch 1
Figure BDA0003904503400000052
Preferably, as shown in fig. 2, the current indoor environment parameter is obtained, a human comfort model is called, and the current comfort level C of the user is calculated according to the current indoor environment parameter and the user information;
outputting a current air conditioner control instruction according to the current comfort level C of the user and the divided three-level areas; referring to the table above, there are several cases:
(1) When the current comfort level C of the user is in a low-temperature area, outputting an air conditioner heating instruction, and controlling an air conditioner to heat, for example, when C = -3, controlling the heating temperature of the air conditioner to rise by 1 degree, and adjusting the air speed of the air conditioner to be low speed; when C = -4, controlling the heating temperature of the air conditioner to rise by 1 degree, and adjusting the air speed of the air conditioner to be a medium speed; when C = -5, controlling the heating temperature of the air conditioner to rise by 2 degrees, and adjusting the air speed of the air conditioner to be high speed; when C = -6, controlling the heating temperature of the air conditioner to rise by 2 degrees, and adjusting the air speed of the air conditioner to be high speed;
(2) When the current comfort level C of the user is in a comfort zone, outputting an air conditioner closing instruction, and controlling an air conditioner to be closed, for example, when C =0, closing the air conditioner;
(3) When the current comfort level C of the user is in a high-temperature area, outputting an air conditioner refrigerating instruction, and controlling an air conditioner to refrigerate, for example, when C =2, controlling the air conditioner refrigerating temperature to be reduced by 1 DEG, and adjusting the air speed of the air conditioner to be a low speed; when C =3, controlling the refrigerating temperature of the air conditioner to be reduced by 2 degrees, and adjusting the air speed of the air conditioner to be a medium speed; when C =4, the air conditioner cooling temperature is controlled to be reduced by 2 degrees, and the air conditioner air speed is adjusted to a high speed.
Preferably, the outputting a current air conditioner control command according to the current comfort level of the user further includes:
and determining a current air conditioner control instruction matched with the current comfort level of the user according to the corresponding relation between the comfort level of the user and the set air conditioner control instruction, and outputting the current air conditioner control instruction.
As another embodiment of the present invention, there is provided an intelligent air-conditioning energy-saving system based on human body fitness, as shown in fig. 3, wherein the intelligent air-conditioning energy-saving system based on human body fitness includes an air-conditioning control terminal line controller and a cloud monitoring management platform, wherein,
the air conditioner control terminal line controller is used for acquiring current indoor environment parameters and current air conditioner running state parameters and uploading the current indoor environment parameters and the current air conditioner running state parameters to the cloud monitoring management platform;
the cloud monitoring management platform is used for inputting user information, calling a human body comfort level model, and calculating the current indoor environment parameter and the current air conditioner running state parameter to obtain the current comfort level of the user; outputting a current air conditioner control instruction to the air conditioner control terminal wire controller according to the current comfort level of the user;
and the air conditioner control terminal wire controller is used for adjusting the current running state of the air conditioner according to the current air conditioner control instruction.
Specifically, 485 communication is adopted between the air conditioner and the air conditioner control terminal wire controller, an mqtt protocol is adopted between the air conditioner control terminal wire controller and the Ali cloud platform for communication, and an https protocol is adopted between the Ali cloud platform and the cloud monitoring management platform for interface calling.
Specifically, the cloud monitoring management platform is responsible for storing, processing, analyzing and visually displaying data, and can input user information at a web end to finish binding of the air conditioning equipment and store environmental parameters and user information in a storage room.
Preferably, the current indoor environment parameter includes: indoor ambient temperature Tn, indoor average ambient temperature Ta, indoor average wind speed V, indoor relative humidity RH, and indoor optimum relative humidity RHs.
Preferably, the human body comfort level model is used for calculating the deviation between the human body optimal comfort level value and the theoretical optimal comfort level value of a certain place by using a golden section rate model, and is used for dynamically dividing and adjusting a comfort level grade area; the comfort level area is divided into a high-temperature area, a low-temperature area and a comfort area; and if the comfort level area is a high-temperature area or a low-temperature area, improving the indoor environment by dynamically adjusting the running state of the air conditioner until the comfort level area is a comfort area.
Preferably, the cloud monitoring management platform is further configured to determine a current air conditioner control instruction matched with the current comfort level of the user according to a corresponding relationship between the comfort level of the user and a set air conditioner control instruction, and output the current air conditioner control instruction to the air conditioner control terminal line controller.
Preferably, as shown in fig. 4, the cloud monitoring management platform further includes a user login registration module, a user information updating module, a user management module, an air conditioning equipment management module, an air conditioning data statistics module, and an alarm prompt module;
the user login registration module is used for verifying the login account and the login password information of the user and inquiring the user information by utilizing a database MySQL;
the user information updating module is used for modifying the user information and the user login password information and updating the user information by utilizing a database MySQL;
the user management module is used for managing the information data of the sub-users by the user, adding or deleting information records of the sub-users and performing addition and deletion operations by utilizing a database MySQL;
the air conditioning equipment management module is used for monitoring, recording and inquiring air conditioning equipment data, realizing batch air conditioning equipment management, distributing and binding the air conditioning equipment to sub-users, and performing associated operation on a user table and an air conditioning equipment table by utilizing a database MySQL;
the air conditioner data statistical module is used for performing visual display on the collected air conditioner running state data, storing historical data and calling a human body comfort degree model to calculate a comfort degree index;
and the alarm prompt module is used for acquiring alarm information of the air conditioning equipment and storing historical alarm information in real time.
The intelligent air conditioner energy-saving method based on the human body fitness comprises the steps that air conditioner parameters and environment parameters are collected through an air conditioner control terminal, an air conditioner instruction is received, data are uploaded to a cloud platform, the cloud monitoring management platform receives the data of the air conditioner control terminal, and data storage, processing, analysis and visual display are carried out, namely user information and air conditioner equipment information management, air conditioner data statistics and alarm prompt are carried out; compared with the traditional artificial passive temperature setting, the method can calculate the human comfort index by calling the human comfort model, dynamically adjust the set value of the air conditioner to improve the indoor environment, save the power consumption, improve the working efficiency of people and improve the physical and mental health.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.

Claims (10)

1. The intelligent air conditioner energy-saving method based on the human body fitness is characterized by comprising the following steps:
step S1: collecting current indoor environment parameters and current air conditioner running state parameters;
step S2: inputting user information, calling a human body comfort level model, and calculating the current indoor environment parameter and the current air conditioner running state parameter to obtain the current comfort level of the user;
and step S3: outputting a current air conditioner control instruction according to the current comfort level of the user;
and step S4: and adjusting the current running state of the air conditioner according to the current air conditioner control instruction.
2. The intelligent air-conditioning energy-saving method based on human fitness of claim 1, wherein the current indoor environment parameters comprise: indoor ambient temperature Tn, indoor average ambient temperature Ta, indoor average wind speed V, indoor relative humidity RH, and indoor optimum relative humidity RHs.
3. The intelligent air-conditioning energy-saving method based on human fitness of claim 1, wherein the human comfort model is used for calculating the deviation of the optimal human comfort value and the theoretical optimal human comfort value in a certain place by using a golden section rate model, and is used for dynamically dividing and adjusting comfort level areas; the comfort level area is divided into a high-temperature area, a low-temperature area and a comfort area; and if the comfort level area is a high-temperature area or a low-temperature area, improving the indoor environment by dynamically adjusting the running state of the air conditioner until the comfort level area is a comfort area.
4. The intelligent air-conditioning energy-saving method based on human fitness of claim 1, wherein the current air-conditioning control instruction is output according to the current comfort level of the user, and further comprising:
and determining a current air conditioner control instruction matched with the current comfort level of the user according to the corresponding relation between the comfort level of the user and the set air conditioner control instruction, and outputting the current air conditioner control instruction.
5. An intelligent air-conditioning energy-saving system based on human body fitness is characterized by comprising an air-conditioning control terminal wire controller and a cloud monitoring management platform,
the air conditioner control terminal line controller is used for acquiring current indoor environment parameters and current air conditioner running state parameters and uploading the current indoor environment parameters and the current air conditioner running state parameters to the cloud monitoring management platform;
the cloud monitoring management platform is used for inputting user information, calling a human body comfort level model, and calculating the current indoor environment parameters and the current air conditioner running state parameters to obtain the current comfort level of the user; outputting a current air conditioner control instruction to the air conditioner control terminal wire controller according to the current comfort level of the user;
and the air conditioner control terminal wire controller is used for adjusting the current running state of the air conditioner according to the current air conditioner control instruction.
6. The intelligent human-fitness-based air-conditioning energy-saving system according to claim 5, wherein the current indoor environment parameters comprise: indoor ambient temperature Tn, indoor average ambient temperature Ta, indoor average wind speed V, indoor relative humidity RH, and indoor optimum relative humidity RHs.
7. The intelligent air-conditioning energy-saving system based on human body fitness according to claim 6, wherein the human body comfort level model is used for calculating the deviation of the optimal human body comfort level value and the theoretical optimal comfort level value of a place by utilizing a golden section rate model, and is used for dynamically dividing and adjusting comfort level grade areas; the comfort level area is divided into a high-temperature area, a low-temperature area and a comfort area; and if the comfort level area is a high-temperature area or a low-temperature area, improving the indoor environment by dynamically adjusting the running state of the air conditioner until the comfort level area is a comfort area.
8. The intelligent air-conditioning energy-saving system based on human fitness of claim 7, wherein the human comfort model is calculated in the following way:
(1) According to the geographical position of the user
Figure FDA0003904503390000021
And calculating the optimal human comfort value Ts of the user location in the current month M, and calculating a deviation value Dt between the optimal human comfort value Ts of the user location and the theoretical optimal comfort value, wherein the calculation formula of the deviation value Dt is as follows:
Dt＝22.7-Ts
wherein 22.7 is the theoretical optimal comfort value calculated by multiplying the average body temperature of 36.75 ℃ by the golden section ratio of 0.618;
wherein the content of the first and second substances,
Figure FDA0003904503390000022
(2) Calculating the average sensible temperature Tg of the user according to the indoor average environment temperature Ta, the indoor average wind speed V, the indoor relative humidity RH, the indoor optimal relative humidity RHs and the optimal human body comfort value Ts, wherein the calculation formula of the average sensible temperature Tg of the user is as follows:
tg = Ta + A { exp [0.05 (Ta-Ts) (RH-RHs) ] -1} -0.03 (Ta-Ts) V when Ta ≧ Ts;
tg = Ta-a { exp [0.013 (Ts-Ta) (RH-RHs) ] -1} -0.01 (Ts-Ta) V when Ta < Ts;
wherein the coefficient a =36.5 ≈ 14 (1-0.618);
(3) Calculating a deviation standard according to the average somatosensory temperature Tg and the deviation value Dt of the user, and dividing a human body comfort level;
(4) And determining the human comfort level matched with the current average body sensing temperature Tg of the user according to the corresponding relation between the average body sensing temperature Tg of the user and the divided human comfort level so as to obtain the current comfort level of the user.
9. The intelligent air-conditioning energy-saving system based on human fitness as claimed in claim 5, wherein the cloud monitoring management platform is further configured to determine a current air-conditioning control command matched with the current comfort level of the user according to the corresponding relationship between the comfort level of the user and the set air-conditioning control command, and output the current air-conditioning control command to the air-conditioning control terminal line controller.
10. The intelligent air-conditioning energy-saving system based on the human fitness as claimed in claim 5, wherein the cloud monitoring management platform further comprises a user login registration module, a user information updating module, a user management module, an air-conditioning equipment management module, an air-conditioning data statistics module and an alarm prompting module;
the user login registration module is used for verifying the login account and the login password information of the user and inquiring the user information by utilizing a database MySQL;
the user information updating module is used for modifying the user information and the user login password information and updating the user information by utilizing the database MySQL;
the user management module is used for managing the information data of the sub-users by the user, adding or deleting information records of the sub-users and performing addition and deletion operations by utilizing a database MySQL;
the air conditioning equipment management module is used for monitoring, recording and inquiring air conditioning equipment data, realizing batch air conditioning equipment management, distributing and binding the air conditioning equipment to sub-users, and performing associated operation on a user table and an air conditioning equipment table by utilizing a database MySQL;
the air conditioner data statistical module is used for performing visual display on the collected air conditioner running state data, storing historical data and calling a human body comfort degree model to calculate a comfort degree index;
and the alarm prompt module is used for acquiring alarm information of the air conditioning equipment and storing historical alarm information in real time.
CN202211300597.2A 2022-10-24 2022-10-24 Intelligent air conditioner energy-saving method and system based on human body fitness Pending CN115493271A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211300597.2A CN115493271A (en) 2022-10-24 2022-10-24 Intelligent air conditioner energy-saving method and system based on human body fitness

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211300597.2A CN115493271A (en) 2022-10-24 2022-10-24 Intelligent air conditioner energy-saving method and system based on human body fitness

Publications (1)

Publication Number Publication Date
CN115493271A true CN115493271A (en) 2022-12-20

Family

ID=84474972

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211300597.2A Pending CN115493271A (en) 2022-10-24 2022-10-24 Intelligent air conditioner energy-saving method and system based on human body fitness

Country Status (1)

Country Link
CN (1) CN115493271A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116294128A (en) * 2023-03-13 2023-06-23 广东悦玛空气处理股份有限公司 Air conditioning method and apparatus
CN117308304A (en) * 2023-11-28 2023-12-29 南京哈哈云信息科技有限公司 Medical and nutritional service integrated management system and method based on artificial intelligence

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116294128A (en) * 2023-03-13 2023-06-23 广东悦玛空气处理股份有限公司 Air conditioning method and apparatus
CN116294128B (en) * 2023-03-13 2023-10-03 广东悦玛空气处理股份有限公司 Air conditioning method and apparatus
CN117308304A (en) * 2023-11-28 2023-12-29 南京哈哈云信息科技有限公司 Medical and nutritional service integrated management system and method based on artificial intelligence
CN117308304B (en) * 2023-11-28 2024-02-02 南京哈哈云信息科技有限公司 Medical and nutritional service integrated management system and method based on artificial intelligence

Similar Documents

Publication Publication Date Title
CN115493271A (en) Intelligent air conditioner energy-saving method and system based on human body fitness
CN104633866B (en) Hot comfort evaluation system based on ambient parameter and human body physiological parameter
CN103604191B (en) Many people based on mobile phone software platform participate in public air-conditioner temperature regulator control system
CN106979588B (en) A kind of energy-saving management system and administration of energy conservation method of air conditioner in machine room energy consumption
KR101972227B1 (en) Smart home controlling apparatus based intellect learning and method thereof
CN106258644B (en) Temperature adjusting method and temperature adjusting device for crop greenhouse
US20170123442A1 (en) System and Method of Smart and Energy-Saving Environmental Control
CN108036474A (en) A kind of air-conditioner temperature adjusting method and system
CN110925995A (en) Method and system for air conditioning adaptive control air conditioning
CN108829074A (en) A kind of artificial intelligence domestic environment system control method based on big data
CN111486554B (en) Air conditioner temperature non-sensitive control method based on online learning
CN105757904A (en) Adaptive air conditioner on basis of wearable equipment
CN109945439A (en) A kind of indoor environment parameter control method and system
CN105091209B (en) A kind of control system and method based on Air-conditioning Load Prediction
CN108873729A (en) Artificial intelligence domestic environment management system based on big data
CN106796046A (en) Intelligent environment regulation and control engine, intelligent environment regulating system and equipment
CN112032970B (en) Intelligent air conditioner regulation and control method based on body surface temperature monitoring
CN114659237B (en) Air conditioner energy efficiency supervision method based on Internet of things
CN115540114A (en) Indoor environment optimized lifting heating and ventilation control system and method
CN214619993U (en) Intelligent control energy-saving system of air conditioner
CN110986315B (en) Indoor temperature dynamic regulation and control method based on centralized air-conditioning system
TWI699500B (en) System for adjusting loading of air-conditioning, and method for using the same
CN107860076B (en) Multi-user dynamic temperature-regulating central air-conditioning system and method based on artificial intelligence
CN112923529B (en) Heating air conditioner temperature regulation and control method and system based on thermal history
CN112880152A (en) Dynamic temperature regulation and control method and system of personalized air conditioning system based on user state

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination