CN114777316A - Air conditioner control method and system based on human body breathing frequency and storage medium - Google Patents
Air conditioner control method and system based on human body breathing frequency and storage medium 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
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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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
- F24F11/62—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
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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
- F24F11/62—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
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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
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
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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
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
- F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
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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
- F24F11/88—Electrical aspects, e.g. circuits
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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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
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Abstract
The invention discloses an air conditioner control method and system based on human body respiratory frequency and a storage medium, and relates to the technical field of air conditioner control. The method comprises the following specific steps: acquiring space detection data, wherein the space detection data comprises environmental parameter information in a current room and current respiratory frequency information of a human body; judging the current position and the activity state of the human body according to the detection data, and calculating the current PWV value; comparing the PWV value with a preset comfort condition to obtain a comparison result; and generating an air conditioner operation parameter adjusting instruction according to the comparison result, and adjusting the current air conditioner mode. The invention collects the breathing frequency information of the user without contacting the user, obtains the PMV value of the current surrounding environment of the user according to the comparison between the user information and the standard frequency, and effectively controls the PMV value of the surrounding environment of the user, so that the user is in the most comfortable environment.
Description
Technical Field
The invention relates to the technical field of air conditioner control, in particular to an air conditioner control method and system based on human body breathing frequency and a storage medium.
Background
With the improvement of living standard, the air conditioner is a necessary product for daily life of people, however, the intelligent degree of household appliances is higher and higher, the functions are more and more complete, the required operations are more and more complex, in order to use the household appliances with new types, people have to know the new functions once and practice the operations for many times, and the mental pain brought to the old and the disabled in the time-consuming and labor-consuming stage is huge. And along with the arrival of the big healthy era, people more and more pay attention to current healthy life, the frequency control of conventional variable frequency air conditioner is simply in order to set for the difference in temperature and set for the rate of change of the difference in temperature, do not consider whether the indoor environment of current control satisfies the travelling comfort condition, consequently, to the technical staff in the field, how to design the intelligent air conditioner of a non-contact respiratory frequency detection, can also demonstrate people's health data in real time when detecting human health form, be the problem that awaits the solution urgently.
Disclosure of Invention
In view of this, the present invention provides a method, a system and a storage medium for controlling an air conditioner based on human breathing frequency, so as to solve the problems in the background art.
In order to achieve the purpose, the invention adopts the following technical scheme: an air conditioner control method based on human body respiratory frequency comprises the following specific steps:
acquiring space detection data, wherein the space detection data comprises environmental parameter information in a current room and respiratory frequency information of a current human body;
judging the current position and the activity state of the human body according to the detection data, and calculating the current PWV value;
comparing the PWV value with a preset comfort level condition to obtain a comparison result; and generating an air conditioner operation parameter adjusting instruction according to the comparison result, and adjusting the current air conditioner mode.
Optionally, the environmental parameter information includes air humidity, air temperature, spatial simulation map information, and current position information of a human body.
Optionally, the detection data is uploaded to a cloud end, and the position and the activity state of the human body at present are judged by comparing the detection data with the standard respiratory frequency of the human body at the cloud end.
Optionally, the method further comprises the steps of predicting the human health condition according to the comparison data obtained by the cloud and sending the prediction result to the mobile phone of the user.
Optionally, when the PMV is greater than 0.4, increasing the rotating speed of an air blower of the air conditioner and reducing the size of a movable air door of the air conditioner; when PMV is less than-0.4, the rotating speed of the air blower of the air conditioner is reduced, and the size of the movable air door of the air conditioner is increased; when PMV is more than or equal to-0.4 and less than or equal to 0.4, keeping the rotating speed of the current air feeder and the size of the movable air door; the PMV is more than or equal to-0.4 and less than or equal to 0.4 under the preset comfort condition.
Optionally, when the indoor unit of the air conditioner is started, the PMV value is obtained in real time, and the rotation speed of the air feeder, the size of the movable air door and the gear of the indoor fan are controlled, so that the PMV value is within a target range.
On the other hand, the air conditioner control system based on the human body respiratory frequency comprises a data acquisition module, a PWV value calculation module and a control module; wherein,
the data acquisition module is used for acquiring space detection data, and the space detection data comprises environmental parameter information in a current room and respiratory frequency information of a current human body;
the PWV value calculating module is used for judging the current position and the activity state of the human body according to the detection data and calculating the current PWV value;
the control module is used for comparing the PWV value with a preset comfort condition to obtain a comparison result; and generating an air conditioner operation parameter adjusting instruction according to the comparison result, and adjusting the current air conditioner mode.
Optionally, the data acquisition module includes a temperature and humidity sensor, a respiratory rate sensor, and a camera.
Optionally, the system further comprises a data transmission module, and the data transmission module is used for information transmission and interaction.
Finally, a computer storage medium is provided, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method for controlling an air conditioner based on the breathing frequency of a human body.
Compared with the prior art, the technical scheme has the advantages that the invention discloses and provides the air conditioner control method, the air conditioner control system and the storage medium based on the human body breathing frequency, and the air conditioner control method, the air conditioner control system and the storage medium have the following beneficial technical effects:
(1) the air conditioner control method does not need manual operation, so that the time and mental pain of learning complex functions of human are reduced;
(2) real-time health data of a human body can be obtained on a mobile phone APP according to the breathing frequency comparison and prediction;
(3) the human-computer interaction can be realized in real time, and a comfortable and healthy air conditioning environment is provided for the user;
(4) the breathing frequency information of the user can be collected under the condition of not contacting the user, the PMV value of the current surrounding environment of the user is obtained according to the comparison between the user information and the standard frequency, and the PMV value around the user is effectively controlled, so that the user is in the most comfortable environment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a method of the present invention;
fig. 2 is a system configuration diagram of the present invention.
Detailed Description
The technical solutions 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.
The embodiment of the invention discloses an air conditioner control method based on human body breathing frequency, which comprises the following specific steps as shown in figure 1:
s1, acquiring space detection data, wherein the space detection data comprises environmental parameter information in a current room and respiratory frequency information of a current human body;
s2, judging the current position and activity state of the human body according to the detection data, and calculating the current PWV value;
s3, comparing the PWV value with a preset comfort condition to obtain a comparison result; and generating an air conditioner operation parameter adjusting instruction according to the comparison result, and adjusting the current air conditioner mode.
Further, the environmental parameter information includes air humidity, air temperature, average radiation temperature, indoor air speed, space simulation map information and current position information of the human body, and the respiratory frequency information of the human body includes fluctuation of the thoracic region.
And acquiring space virtual map information, human body current position information and human body respiratory frequency information according to the camera.
Setting the total frame number of the acquired video as K, reading a waveform frame rate F, and detecting the wave trough number N in the respiratory waveform by using a wave crest detection algorithm in MATLAB software, wherein the calculation formula of the respiratory frequency is as follows:
R=N×F/K×60。
the fluctuation of the chest and abdomen area during respiration corresponds to the speed of the optical flow, which is the brightness (gray scale) change of each pixel point on the two-dimensional image mapped by the three-dimensional object motion. The optical flow velocity in the video can be calculated by means of the horns-Schunck optical flow method, and therefore the respiratory motion of the human body can be estimated.
Further, the detection data are uploaded to a cloud end, and the position and the activity state of the human body at present are judged by comparing the detection data with the standard respiratory frequency of the human body at the cloud end.
The method further comprises the steps of predicting the human health condition according to the comparison data obtained by the cloud and sending the prediction result to the mobile phone of the user.
Calculating a PWV value according to the number of the target persons and the target characteristic information of each target person; whether the PWV value meets a preset thermal comfort condition is further judged, the thermal comfort condition can be embodied through a PWV threshold value, and the PWV threshold value can be set differently in different seasons. Wherein, the calculation of the PWV value can be realized by adopting a PWV calculation model.
The PMV index is based on a 7 point range from-3 (cold) to +3 (hot). Therefore, when the PMV index is close to 0, the user feels thermal comfort, and when the PMV index is close to +3, the user feels very hot. The simplified PMV index originates from the ISO7730 standard, using two human parameters (metabolic rate (M, W/m)2) And clothing insulation (Icl, m)2°C/W)) and four environmental parameters (air temperature (ta, qC), relative humidity (Φ), average radiation temperature (tr, qC) and indoor wind speed (Var, m/s)) as follows:
the PMV value is calculated as:
PMV=(0.303e-0.036M+0.028){(M-W)-3.05×10-3×[5733-6.99(M-W)-Pa]-0.42[(M-W)-58.15]-1.7×10-5×M(5867-Pa)-0.0014M(34-ta)-3.96×10-8×fcl[(tcl+273)4-(tr+273)4]-fclhc(tcl-ta)};
wherein Pa, fcl, tcl and hc are respectively water vapor partial pressure (Pa), surface area coefficient (%) of clothes, surface temperature (DEG C) of clothes and convective heat transfer coefficient (W/(. square) C). The specific calculation formula is as follows:
wherePa=Φ×pws
tcl=35.7-0.028(M-W)-Icl{3.96×10-8×fcl×[(tcl+273)4-(tr+273)4]-fclhc(tcl-ta)}
w represents external work (W/square meter), Pws represents saturated vapor pressure (Pa). Here, it can be assumed that the external work is equal to 0, since it does not affect PMV under moderate air temperature and saturated steam conditions.
Through a large amount of collected historical data, the fact that when the air conditioner starts to refrigerate and/or dehumidify, the higher the indoor initial air temperature is, the larger and the positive PMV is, therefore, the PMV needs to be controlled to be reduced from the positive value to 0, the fluctuation range when the PMV is stabilized is [ -0.4, 0.4], wherein, when the PMV is the negative value and is less than-0.4, the indoor temperature is too low; Δ PMV is positive indicating PMV decrease, the larger the value, the faster the PMV drop; a negative value of Δ PMV indicates an increase in PMV, with smaller values giving a faster rise in PMV.
When the air conditioner starts heating, the lower the initial air temperature in the room, the smaller and negative PMV is, therefore, the PMV needs to be controlled to increase from the negative value to 0, the range of fluctuation when the PMV is stabilized is [ -0.4, 0.4], wherein, when the PMV is positive and is greater than 0.4, the indoor temperature is over-high; Δ PMV is positive indicating PMV decrease, the larger the value, the faster the PMV drop; a negative value of Δ PMV indicates an increased PMV, with smaller values giving a faster rise in PMV.
When the indoor unit of the air conditioner is started, a PMV value is obtained in real time, and the rotating speed of the air feeder, the size of the movable air door and the gear of the indoor fan are controlled to enable the PMV value to be located in a target range.
Therefore, in the embodiment, when PMV is larger than 0.4, the rotating speed of the air conditioner blower is increased, and the size of the movable air door of the air conditioner is reduced; when PMV is less than-0.4, the rotating speed of the air blower of the air conditioner is reduced, and the size of the movable air door of the air conditioner is increased; when PMV is more than or equal to-0.4 and less than or equal to 0.4, keeping the rotating speed of the current air feeder and the size of the movable air door; the PMV is more than or equal to-0.4 and less than or equal to 0.4 under the preset comfort condition.
An embodiment 2 of the present invention provides an air conditioner control system based on human respiratory rate, as shown in fig. 2, including a data acquisition module, a PWV value calculation module, and a control module; wherein,
the data acquisition module is used for acquiring space detection data, and the space detection data comprises environmental parameter information in a current room and respiratory frequency information of a current human body;
the PWV value calculation module is used for judging the current position and the activity state of the human body according to the detection data and calculating the current PWV value;
the control module is used for comparing the PWV value with a preset comfort level condition to obtain a comparison result; and generating an air conditioner operation parameter adjusting instruction according to the comparison result, and adjusting the current air conditioner mode.
The data acquisition module comprises a temperature and humidity sensor, a respiratory rate sensor and a camera. The camera is positioned in each room of the family and used for acquiring the family virtual map information and the current position information of the human body.
Wherein, respiratory frequency sensor is non-contact millimeter wave bio-radar detection technology in this embodiment, be through the transmission and the receipt of electromagnetic wave, discern personnel's quantity in the building space, the scheme, the trail tracking, and human respiratory frequency, information such as heartbeat frequency, current scheme is the collection that carries out the image picture through the camera when discerning personnel's information, and carry out the analysis to the image picture, not only can cause the privacy for the user to reveal, still can receive the influence of wall light detection angle, and the electromagnetic wave not only has the penetrability, still not received the light, the influence of factors such as detection angle, the rate of accuracy is higher when carrying out PMV control to the air conditioner.
The cloud terminal also comprises a data transmission module, the data acquisition module transmits the collected information to the cloud terminal through the data transmission module for information processing, and the transmission module is responsible for information transmission and interaction. The user mobile phone is connected with the data transmission module, and the human body breathing frequency information compared by the cloud end is visually presented to the user.
Finally, a computer storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the steps of a method for controlling an air conditioner based on the breathing frequency of a human body.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simple, and the relevant points can be referred to the description of the method part.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An air conditioner control method based on human body respiratory frequency is characterized by comprising the following specific steps:
acquiring space detection data, wherein the space detection data comprises environmental parameter information in a current room and respiratory frequency information of a current human body;
judging the current position and the activity state of the human body according to the detection data, and calculating the current PWV value;
comparing the PWV value with a preset comfort condition to obtain a comparison result; and generating an air conditioner operation parameter adjusting instruction according to the comparison result, and adjusting the current air conditioner mode.
2. The air conditioner control method based on the human body breathing frequency according to claim 1, wherein the environment parameter information comprises air humidity, air temperature, space simulation map information and current position information of the human body.
3. The air conditioner control method based on the human body breathing frequency as claimed in claim 1, further comprising uploading the detection data to a cloud, and comparing the cloud with the human body standard breathing frequency to determine the current position and activity state of the human body.
4. The human breathing frequency-based air conditioner control method as claimed in claim 1, further comprising predicting human health conditions according to comparison data obtained from a cloud and sending the prediction results to a mobile phone of a user.
5. The human body respiratory frequency-based air conditioner control method according to claim 1, wherein when PMV > 0.4, the rotating speed of an air conditioner blower is increased, and the size of an air conditioner movable air door is reduced; when PMV is less than-0.4, reducing the rotating speed of the air blower of the air conditioner and increasing the size of the movable air door of the air conditioner; when PMV is more than or equal to-0.4 and less than or equal to 0.4, keeping the rotating speed of the current air feeder and the size of the movable air door; the PMV is more than or equal to-0.4 and less than or equal to 0.4 under the preset comfort condition.
6. The method as claimed in claim 1, wherein the PMV value is obtained in real time when the indoor unit of the air conditioner is started, and the rotation speed of the blower, the size of the movable air door, and the gear of the indoor fan are controlled to make the PMV value within a target range.
7. An air conditioner control system based on human body respiratory frequency is characterized by comprising a data acquisition module, a PWV value calculation module and a control module; wherein,
the data acquisition module is used for acquiring space detection data, and the space detection data comprises environmental parameter information in a current room and current respiratory frequency information of a human body;
the PWV value calculating module is used for judging the current position and the activity state of the human body according to the detection data and calculating the current PWV value;
the control module is used for comparing the PWV value with a preset comfort condition to obtain a comparison result; and generating an air conditioner operation parameter adjusting instruction according to the comparison result, and adjusting the current air conditioner mode.
8. The air conditioner control system based on human breathing frequency of claim 7, wherein the data acquisition module comprises a temperature and humidity sensor, a breathing frequency sensor and a camera.
9. The human breathing frequency-based air conditioning control system as claimed in claim 7, further comprising a data transmission module, wherein the data transmission module is used for information transmission and interaction.
10. A computer storage medium, characterized in that the computer storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the method for controlling an air conditioner based on human breathing frequency according to any one of claims 1-6.
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