CN112503736A - Intelligent adjusting method and device for air conditioner - Google Patents
Intelligent adjusting method and device for air conditioner Download PDFInfo
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- 230000036760 body temperature Effects 0.000 claims description 67
- 238000012545 processing Methods 0.000 claims description 40
- 230000001276 controlling effect Effects 0.000 claims description 19
- 238000004590 computer program Methods 0.000 claims description 6
- 230000003749 cleanliness Effects 0.000 claims description 5
- 230000007613 environmental effect Effects 0.000 claims description 4
- 230000001105 regulatory effect Effects 0.000 claims description 4
- 230000003750 conditioning effect Effects 0.000 claims 3
- 230000000694 effects Effects 0.000 description 5
- 238000004378 air conditioning Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000005057 refrigeration Methods 0.000 description 4
- 238000001816 cooling Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
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Abstract
The invention discloses an intelligent adjusting method and device of an air conditioner. The intelligent adjusting method of the air conditioner comprises the following steps: acquiring physiological data of a user and indoor air parameters in real time; generating an input signal according to the change trend of the physiological data of the user and the indoor air parameters; and controlling the air conditioner to operate in a corresponding mode according to the input signal. According to the invention, the air conditioner can automatically and intelligently adjust the operation parameters of the indoor unit and the outdoor unit according to the physiological data and the indoor temperature data of the user without inputting any control instruction of the air conditioner by the user, so that the user can enjoy good user experience under various conditions.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to an intelligent adjusting method and device of an air conditioner.
Background
In the automatic mode of the air conditioner in the prior art, the working state of the air conditioner is judged and adjusted only by detecting information such as the temperature of the indoor environment and the like. In reality, a user needs to adjust and control parameters of the air conditioner in a targeted manner to obtain better user air conditioning experience under the condition that the user is in different physical states, and the existing intelligent air conditioning adjusting technical scheme cannot achieve humanized and comfortable technical effects. How to properly solve the above problems is an urgent issue to be solved in the industry.
Disclosure of Invention
The invention provides an intelligent adjusting method and device of an air conditioner, which are used for automatically and intelligently adjusting the operating parameters of an indoor unit and an outdoor unit of the air conditioner according to physiological data of a user and indoor temperature data.
According to a first aspect of embodiments of the present invention, there is provided an intelligent adjustment method of an air conditioner, including:
acquiring physiological data of a user and indoor air parameters in real time;
generating an input signal according to the change trend of the physiological data of the user and the indoor air parameters;
and controlling the air conditioner to operate in a corresponding mode according to the input signal.
In one embodiment, the acquiring physiological data of the user and air parameters in the room in real time includes:
acquiring physiological data of a user in real time through intelligent wearable equipment worn by the user, wherein the physiological data comprises any one or more of body temperature and heart rate of the user;
acquiring environmental parameters in real time, wherein the air data comprises any one or more of indoor temperature data, humidity data and air cleanliness.
In one embodiment, the generating the input signal according to the variation trend of the physiological data of the user comprises:
analyzing the change trends of the user body temperature and the user heart rate of the real-time physiological data of the user according to the user body temperature and the user heart rate in the physiological data of the user before and after a preset time interval;
if the temperature change trend of the user is greater than a first preset value, setting the temperature mark of the user to be 1; if the temperature change trend of the user is less than or equal to a first preset value, setting the temperature mark of the user to be 0;
if the heart rate variation trend of the user is greater than a second preset value, setting the heart rate flag of the user to be 1; if the heart rate variation trend of the user is smaller than or equal to a second preset value, setting a mark of the heart rate of the user to be 0;
the input signal includes one or more indicia of physiological data.
In one embodiment, the generating the input signal according to the trend of the physiological data of the user and the air parameter in the room further comprises:
judging the size relation between the body temperature of the user and the indoor temperature data in the physiological data of the user;
if the body temperature of the user is larger than the indoor temperature data, setting the temperature judgment identifier as 1; if the body temperature of the user is less than or equal to the indoor temperature data, setting the temperature judgment identifier to be 0;
the input signal includes an identification of the temperature determination.
In one embodiment, the controlling the air conditioner to operate in a corresponding manner according to the input signal includes:
acquiring an identifier contained in the input signal, wherein the identifier comprises any one or more of an identifier for temperature judgment and an identifier for physiological data;
and controlling the air conditioner to operate in a control mode corresponding to the identifier.
In one embodiment, the controlling the air conditioner to operate in a corresponding manner according to the input signal further includes:
acquiring identifications of any plurality of input signals;
and controlling the indoor unit and/or the outdoor unit associated with the air conditioner to operate in a control mode corresponding to the identification of the arbitrary plurality of input signals.
In one embodiment, the controlling an indoor unit and/or an outdoor unit associated with the air conditioner to operate in a control manner corresponding to the identifier of the any plurality of input signals further includes:
according to a preset first processing logic, four kinds of marks can be obtained according to the change trend of the heart rate and the body temperature of the user, wherein the four kinds of marks are respectively 11, 10, 01 and 00; when the mark is 11, executing a preset first processing scheme; when the mark is 10, executing a preset second processing scheme; when the identification is 01, executing a preset third processing scheme; when the mark is 00, executing a preset fourth processing scheme;
according to the preset second processing logic, four kinds of marks can be obtained according to the change trend of the body temperature of the user and the size relation between the body temperature of the user and the indoor temperature data, wherein the four kinds of marks are 11, 10, 01 and 00 respectively. When the mark is 11, executing a preset fifth processing scheme; when the mark is 10, executing a preset sixth processing scheme; when the identification is 01, executing a preset seventh processing scheme; when the mark is 00, executing a preset eighth processing scheme;
any of the treatment options includes regulating operating parameters of an indoor unit and/or an outdoor unit associated with the air conditioner.
According to a second aspect of embodiments of the present invention, there is provided an intelligent adjusting apparatus of an air conditioner, including:
the acquisition module is used for acquiring physiological data of a user and indoor air parameters in real time;
the generating module is used for generating an input signal according to the change trend of the physiological data of the user and the indoor air parameters;
and the control module is used for controlling the air conditioner to operate in a corresponding mode according to the input signal.
In one embodiment, further comprising: the obtaining module, the generating module and the control module are controlled to execute the intelligent adjusting method in any one of the above embodiments.
According to a third aspect of embodiments of the present invention, an electronic device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the steps of the method provided in the first aspect when executing the program.
According to a fourth aspect of embodiments of the present invention, there is also provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method as provided by the first aspect.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
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. In the drawings:
fig. 1 is a flowchart illustrating an intelligent adjusting method of an air conditioner according to an exemplary embodiment of the present invention;
fig. 2 is a flowchart illustrating a step S11 of a method for intelligently adjusting an air conditioner according to an exemplary embodiment of the present invention;
fig. 3 is a flowchart illustrating a step S12 of a method for intelligently adjusting an air conditioner according to an exemplary embodiment of the present invention;
fig. 4 is a flowchart illustrating a step S12 of a method for intelligently adjusting an air conditioner according to another exemplary embodiment of the present invention;
fig. 5 is a flowchart illustrating a step S13 of a method for intelligently adjusting an air conditioner according to an exemplary embodiment of the present invention;
fig. 6 is a flowchart illustrating a step S13 of a method for intelligently adjusting an air conditioner according to another exemplary embodiment of the present invention;
fig. 7 is a block diagram illustrating an intelligent adjusting apparatus of an air conditioner according to an exemplary embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Fig. 1 is a flowchart illustrating a smart adjustment method of an air conditioner according to an exemplary embodiment, and as shown in fig. 1, the smart adjustment method of the air conditioner includes the following steps S11-S13:
in step S11, acquiring physiological data of the user and indoor air parameters in real time;
in step S12, generating an input signal according to the change trend of the physiological data of the user and the indoor air parameter;
in step S13, the air conditioner is controlled to operate in a corresponding manner according to the input signal.
In one embodiment, the automatic mode of the air conditioner in the prior art determines and adjusts the operating state of the air conditioner only by detecting the temperature of the indoor environment and other information. In reality, a user needs to adjust and control parameters of the air conditioner in a targeted manner to obtain better user air conditioning experience under the condition that the user is in different physical states, and the existing intelligent air conditioning adjusting technical scheme cannot achieve humanized and comfortable technical effects. The technical scheme in the embodiment can properly solve the technical problems.
The air conditioner in the embodiment can automatically operate only according to the physiological data of the body of the user without actively inputting any instruction by the user, wherein the suitable crowd is children of low ages in the preferred embodiment. Wearable equipment of intelligence can be smart machines such as intelligent bracelet, intelligent glasses, intelligent ring, and for the expression convenience, will use the intelligent bracelet to describe as an example in the following.
Physiological data of a user and indoor temperature data are acquired in real time. The method comprises the steps that physiological data of a user are obtained in real time through intelligent wearable equipment worn by the user, wherein the physiological data comprise any one or more of body temperature of the user and heart rate of the user; acquiring environmental parameters in real time, wherein the air data comprises any one or more of indoor temperature data, humidity data and air cleanliness.
The input signal is generated according to the variation trend of the physiological data of the user and the indoor air parameter. Analyzing the variation trend of the user body temperature and the user heart rate of the real-time physiological data of the user according to the user body temperature and the user heart rate in the physiological data of the user before and after a preset time interval; if the temperature change trend of the user is greater than a first preset value, setting the temperature mark of the user to be 1; if the temperature change trend of the user is less than or equal to a first preset value, setting the temperature mark of the user to be 0; if the heart rate variation trend of the user is greater than a second preset value, setting the heart rate flag of the user to be 1; if the heart rate variation trend of the user is smaller than or equal to a second preset value, setting a mark of the heart rate of the user to be 0; the input signal includes one or more indicia of physiological data.
And controlling the air conditioner to operate in a corresponding mode according to the input signal. Judging the size relationship between the body temperature of the user and the indoor temperature data in the physiological data of the user; if the body temperature of the user is larger than the indoor temperature data, setting the temperature judgment identifier as 1; if the body temperature of the user is less than or equal to the indoor temperature data, setting the temperature judgment identifier to be 0; the input signal includes an identification of the temperature determination. Acquiring an identifier contained in the input signal, wherein the identifier comprises any one or more of an identifier for temperature judgment and an identifier for physiological data; controlling the air conditioner to operate in a control mode corresponding to the identification; and controlling the indoor unit and/or the outdoor unit associated with the air conditioner to operate in a control mode corresponding to the identification of the arbitrary plurality of input signals. According to a preset first processing logic, four kinds of marks can be obtained according to the change trend of the heart rate and the body temperature of the user, wherein the four kinds of marks are respectively 11, 10, 01 and 00; when the mark is 11, executing a preset first processing scheme; when the mark is 10, executing a preset second processing scheme; when the identification is 01, executing a preset third processing scheme; when the mark is 00, executing a preset fourth processing scheme; according to the preset second processing logic, four kinds of marks can be obtained according to the change trend of the body temperature of the user and the size relation between the body temperature of the user and the indoor temperature data, wherein the four kinds of marks are 11, 10, 01 and 00 respectively. When the mark is 11, executing a preset fifth processing scheme; when the mark is 10, executing a preset sixth processing scheme; when the identification is 01, executing a preset seventh processing scheme; when the mark is 00, executing a preset eighth processing scheme; any of the treatment options includes regulating operating parameters of an indoor unit and/or an outdoor unit associated with the air conditioner.
According to the technical scheme in the embodiment, the air conditioner can automatically and intelligently adjust the operation parameters of the indoor unit and the outdoor unit according to the physiological data and the indoor temperature data of the user without inputting any control instruction of the air conditioner by the user, so that the user can enjoy good user experience under various conditions.
In one embodiment, as shown in FIG. 2, step S11 includes the following steps S21-S22:
in step S21, acquiring, in real time, physiological data of a user through a smart wearable device worn by the user, the physiological data including any one or more of a body temperature of the user and a heart rate of the user;
in step S22, environmental parameters are acquired in real time, and the air data includes any one or more of indoor temperature data, humidity data, and air cleanliness.
In one embodiment, the smart wearable device worn by the user is exemplified by a smart band, but is not limited to a smart band and can be applied to any smart wearable device. The body temperature and the heart rate of the user are acquired through a temperature sensor and a heart rate monitoring sensor in the intelligent bracelet. The body temperature and the heart rate of the user can directly reflect the physical condition of the user and the behavior pattern of the user. The air data includes any one or more of temperature data, humidity data, and air cleanliness of the room. The indoor temperature detector in binding relation with the air conditioner can be arranged inside the air conditioner or outside the air conditioner. The number of the indoor temperature detectors having the binding relationship with the air conditioner may be plural and distributed in various manners in the indoor space. When there are a plurality of indoor temperature detectors, the indoor temperature detector near the user is given a higher weight.
In one embodiment, as shown in FIG. 3, step S12 includes the following steps S31-S34:
in step S31, analyzing a user body temperature and a user heart rate variation trend of the real-time physiological data of the user according to the user body temperature and the user heart rate in the physiological data of the user before and after a preset time interval;
in step S32, if the trend of the body temperature of the user is greater than a first preset value, setting a flag of the body temperature of the user to 1; if the temperature change trend of the user is less than or equal to a first preset value, setting the temperature mark of the user to be 0;
in step S33, if the trend of the heart rate variation of the user is greater than the second preset value, setting the flag of the heart rate of the user to 1; if the heart rate variation trend of the user is smaller than or equal to a second preset value, setting a mark of the heart rate of the user to be 0;
in step S34, the input signal includes one or more indicia of physiological data.
In one embodiment, the body temperature of the user is not required to be sampled too frequently, so that a large amount of redundant data is generated, a certain time is required for the air conditioner to change the room temperature, and a certain time is also required for the user to change the body temperature of the user according to the external temperature. Meanwhile, too long time intervals cannot be set, otherwise, users cannot get timelyFeedback, resulting in a poor user experience for the user. The predetermined time interval is represented by the symbol Δ t, which is denoted by the symbol t1And t2To indicate the time, t, before and after a preset time interval2-t1Δ t. T represents the body temperature of the user, P represents the heart rate of the user, delta T represents the variation trend of the body temperature of the user before and after a preset time interval, and delta P represents the variation trend of the heart rate of the user before and after the preset time interval. If the change trend is larger than a first preset value, setting the sign of the physiological data to be 1; and if the change trend is less than or equal to a first preset value, setting the sign of the physiological data to be 0. The first predetermined value is an arbitrary value, and in the preferred embodiment, the zone is set to 0. For example, when Δ T is greater than 0 and Δ P is also greater than 0, the flag of the physiological data is set to 11; when Δ T is greater than 0 and Δ P is less than or equal to 0, the flag of the physiological data is set to 10; when Δ T is less than or equal to 0 and Δ P is greater than 0, the flag of the physiological data is set to 01; when Δ T is equal to or less than 0 and Δ P is also equal to or less than 0, the flag of the physiological data is set to 00.
In one embodiment, as shown in FIG. 4, step S12 further includes the following steps S41-S43:
in step S41, the relationship between the body temperature of the user and the indoor temperature data in the physiological data of the user is determined;
in step S42, if the body temperature of the user is greater than the indoor temperature data, setting the temperature judgment flag to 1; if the body temperature of the user is less than or equal to the indoor temperature data, setting the temperature judgment identifier to be 0;
in step S43, the input signal includes an identification of the temperature determination.
In one embodiment, the constant temperature of the human being causes the body temperature of the user to vary substantially within a cell, the room temperature is the temperature environment in which the user is located, and the user body temperature is adjusted by changing the room temperature, thereby bringing the user to a more comfortable physical state. If the body temperature of the user is larger than the indoor temperature data, setting the temperature judgment identifier as 1; if the body temperature of the user is less than or equal to the indoor temperatureThe temperature judgment flag is set to 0. By T0Representing temperature data within the room. For example, when the temperature data T in the room0And when the temperature is higher than the body temperature T of the user, setting the temperature judgment mark as 1. Temperature data T of room0And when the temperature is less than or equal to the body temperature T of the user, setting the temperature judgment mark as 0.
In one embodiment, as shown in FIG. 5, step S13 includes the following steps S51-S52:
in step S51, acquiring identification information included in the input signal, where the indication information includes any one or more of an identification of temperature determination and an identification of physiological data;
in step S52, the air conditioner is controlled to operate in a control mode corresponding to the identification information.
In one embodiment, in combination with the above two embodiments, the identification of the temperature determination and the indication of the physiological data may be combined together, or only either one of the identification of the temperature determination and the indication of the physiological data may be used to form the input signal. The flag of the physiological data is not set before the identification of the temperature judgment. For example, the input signal may be 011, which indicates that when Δ T is less than or equal to 0 and Δ P is greater than 0, the temperature data T in the room is simultaneously0Greater than the user's body temperature T. The air conditioner executes a corresponding control mode according to the prestored input signal in the database and the comparison table of the control modes. For example, in the cooling mode, the identification information is 111, which may represent that the body temperature and heart rate of the user are increasing, and the body temperature of the user is higher than the temperature data in the room. In this case, there is a typical scene to match, the first being that the user is doing sports, even violent sports. In the above case, the body of the user needs to dissipate heat, and the air conditioner needs to enhance cooling.
In one embodiment, as shown in FIG. 6, step S13 further includes the following steps S61-S62:
in step S61, acquiring identification information of any plurality of the input signals;
in step S62, the indoor unit and/or the outdoor unit associated with the air conditioner is controlled to operate in a control mode corresponding to the identification information of the plurality of input signals.
In one embodiment, according to a preset first processing logic, according to the variation trend of the heart rate and the body temperature of the user, four kinds of identifiers can be obtained, which are respectively 11, 10, 01 and 00; when the mark is 11, executing a preset first processing scheme; when the mark is 10, executing a preset second processing scheme; when the identification is 01, executing a preset third processing scheme; when the mark is 00, executing a preset fourth processing scheme;
according to the preset second processing logic, four kinds of marks can be obtained according to the change trend of the body temperature of the user and the size relation between the body temperature of the user and the indoor temperature data, wherein the four kinds of marks are 11, 10, 01 and 00 respectively. When the mark is 11, executing a preset fifth processing scheme; when the mark is 10, executing a preset sixth processing scheme; when the identification is 01, executing a preset seventh processing scheme; when the mark is 00, executing a preset eighth processing scheme;
any of the treatment options includes regulating operating parameters of an indoor unit and/or an outdoor unit associated with the air conditioner.
In the cooling mode, when the identification information is 111, it may represent that the body temperature and the heart rate of the user are increasing, and the body temperature of the user is higher than the temperature data in the room. In this case, there is a typical scene with which the user is performing a movement, even a violent movement. The body of the user needs to dissipate heat, and the air conditioner needs to enhance refrigeration. Under the condition, the indoor unit associated with the air conditioner is controlled to switch the super-strong gear to enhance the refrigeration effect, so that the indoor temperature is reduced, and the technical effect of enabling the body temperature of a user to be reduced more quickly is achieved.
When the change trend Δ T of the body temperature of the user before and after the preset time interval continuously increases and the change trend Δ P of the heart rate of the user before and after the preset time interval continuously decreases, the identification information is 011, which can indicate that the user has stopped exercising violently, but the body heat is still accumulating. Under the condition, the indoor unit associated with the air conditioner is controlled to switch the high wind level, so that excessive refrigeration of the air conditioner is avoided, and the body of a user is prevented from catching a cold.
When the change trend Δ T of the body temperature of the user before and after the preset time interval is continuously decreased and the change trend Δ P of the heart rate of the user before and after the preset time interval is continuously increased, the identification information is 101, which may indicate that the user is not suitable for the current indoor low-temperature environment. Under the condition, the indoor unit associated with the air conditioner is controlled to switch the middle wind level, and the refrigeration effect of the air conditioner is reduced.
When the change trend Δ T of the body temperature of the user before and after the preset time interval is continuously reduced and the change trend Δ P of the heart rate of the user before and after the preset time interval is continuously reduced, the identification information is 001 at this time, which can indicate that the user is resting or sleeping. Under the condition, the indoor unit associated with the air conditioner is controlled to switch the mute gear, and the noise of the indoor unit is reduced to provide a suitable environment.
When the variation trend delta T of the body temperature of the user is continuously increased before and after a preset time interval, the body temperature of the user is larger than the indoor temperature data, the identification information is 1_1 (the symbol _' indicates that the heart rate of the user is not in a considered range), and the working frequency of an outdoor unit associated with the air conditioner is controlled to be adjusted to be high frequency.
When the variation trend delta T of the user body temperature before and after the preset time interval is continuously reduced, the user body temperature is less than or equal to the indoor temperature data, the identification information is 0_0 (the symbol _' indicates that the heart rate of the user is out of the considered range), and the working frequency of the outdoor unit associated with the air conditioner is controlled to be adjusted to be low frequency.
When the variation trend delta T of the body temperature of the user is continuously increased before and after a preset time interval, the body temperature of the user is less than or equal to indoor temperature data, at the moment, the identification information is 1_0 (the symbol _' indicates that the heart rate of the user is not in a considered range), and the working frequency of an outdoor unit associated with the air conditioner is controlled to be adjusted to the intermediate frequency.
When the variation trend delta T of the user body temperature before and after the preset time interval is continuously reduced, the user body temperature is larger than the indoor temperature data, the identification information is 0_1 (the symbol _' indicates that the heart rate of the user is not in the considered range), and the working frequency of the outdoor unit associated with the air conditioner is controlled to be adjusted to the intermediate frequency.
If the outdoor unit receives the identification information of 1_1 in 3 continuous time intervals, the setting of high frequency + xHZ is executed; if the outdoor unit receives the identification information of 0_0 for 3 consecutive time intervals, the setting of the low frequency-xHZ is performed. Wherein, in a preferred embodiment, x is 2.
In one embodiment, fig. 7 is a block diagram illustrating an intelligent adjusting apparatus of an air conditioner according to an exemplary embodiment. As shown in fig. 7, the apparatus includes an acquisition module 71, a generation module 72, and a control module 73.
The acquisition module 71 is used for acquiring physiological data of a user and indoor temperature data in real time;
the generating module 72 is used for generating an input signal according to the change trend of the physiological data of the user and the indoor temperature data;
the control module 73 is configured to control the air conditioner to operate in a corresponding manner according to the input signal.
The acquisition module 71, the generation module 72 and the control module 73 included in the intelligent adjustment device are controlled to execute the intelligent adjustment method set forth in any one of the above embodiments.
Fig. 8 illustrates a physical structure diagram of a server, and as shown in fig. 8, the server may include: a processor (processor)810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may call logic instructions in the memory 830 to perform the following method: acquiring physiological data of a user and indoor air parameters in real time; generating an input signal according to the change trend of the physiological data of the user and the indoor air parameters; and controlling the air conditioner to operate in a corresponding mode according to the input signal.
In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes: acquiring physiological data of a user and indoor air parameters in real time; generating an input signal according to the change trend of the physiological data of the user and the indoor air parameters; and controlling the air conditioner to operate in a corresponding mode according to the input signal.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (11)
1. An intelligent adjusting method of an air conditioner is characterized by comprising the following steps:
acquiring physiological data of a user and indoor air parameters in real time;
generating an input signal according to the change trend of the physiological data of the user and the indoor air parameters;
and controlling the air conditioner to operate in a corresponding mode according to the input signal.
2. The intelligent adjustment method of claim 1, wherein the acquiring physiological data of the user and air parameters in the room in real time comprises:
acquiring physiological data of a user in real time through intelligent wearable equipment worn by the user, wherein the physiological data comprises any one or more of body temperature and heart rate of the user;
acquiring environmental parameters in real time, wherein the air data comprises any one or more of indoor temperature data, humidity data and air cleanliness.
3. The intelligent adjustment method of claim 2, wherein the generating the input signal according to the trend of change of the physiological data of the user comprises:
analyzing the change trends of the user body temperature and the user heart rate of the real-time physiological data of the user according to the user body temperature and the user heart rate in the physiological data of the user before and after a preset time interval;
if the temperature change trend of the user is greater than a first preset value, setting the temperature mark of the user to be 1; if the temperature change trend of the user is less than or equal to a first preset value, setting the temperature mark of the user to be 0;
if the heart rate variation trend of the user is greater than a second preset value, setting the heart rate flag of the user to be 1; if the heart rate variation trend of the user is smaller than or equal to a second preset value, setting a mark of the heart rate of the user to be 0;
the input signal includes one or more indicia of physiological data.
4. The smart tuning method of claim 3, wherein the generating an input signal based on the trend of change of the physiological data of the user and the air parameter in the room, further comprises:
judging the size relation between the body temperature of the user and the indoor temperature data in the physiological data of the user;
if the body temperature of the user is larger than the indoor temperature data, setting the temperature judgment identifier as 1; if the body temperature of the user is less than or equal to the indoor temperature data, setting the temperature judgment identifier to be 0;
the input signal includes an identification of the temperature determination.
5. The intelligent conditioning method of claim 4, wherein the controlling the air conditioner to operate in a corresponding manner according to the input signal comprises:
acquiring an identifier contained in the input signal, wherein the identifier comprises any one or more of an identifier for temperature judgment and an identifier for physiological data;
and controlling the air conditioner to operate in a control mode corresponding to the identifier.
6. The intelligent conditioning method of claim 5, wherein the controlling the air conditioner to operate in a corresponding manner according to the input signal, further comprises:
acquiring identifications of any plurality of input signals;
and controlling the indoor unit and/or the outdoor unit associated with the air conditioner to operate in a control mode corresponding to the identification of the arbitrary plurality of input signals.
7. The intelligent conditioning method of claim 6, wherein the controlling an indoor unit and/or an outdoor unit associated with the air conditioner to operate in a control manner corresponding to the identification of any of the plurality of input signals, further comprises:
according to a preset first processing logic, four kinds of marks can be obtained according to the change trend of the heart rate and the body temperature of the user, wherein the four kinds of marks are respectively 11, 10, 01 and 00; when the mark is 11, executing a preset first processing scheme; when the mark is 10, executing a preset second processing scheme; when the identification is 01, executing a preset third processing scheme; when the mark is 00, executing a preset fourth processing scheme;
according to the preset second processing logic, four kinds of marks can be obtained according to the change trend of the body temperature of the user and the size relation between the body temperature of the user and the indoor temperature data, wherein the four kinds of marks are 11, 10, 01 and 00 respectively. When the mark is 11, executing a preset fifth processing scheme; when the mark is 10, executing a preset sixth processing scheme; when the identification is 01, executing a preset seventh processing scheme; when the mark is 00, executing a preset eighth processing scheme;
any of the treatment options includes regulating operating parameters of an indoor unit and/or an outdoor unit associated with the air conditioner.
8. An intelligent adjusting device of an air conditioner is characterized by comprising:
the acquisition module is used for acquiring physiological data of a user and indoor air parameters in real time;
the generating module is used for generating an input signal according to the change trend of the physiological data of the user and the indoor air parameters;
and the control module is used for controlling the air conditioner to operate in a corresponding mode according to the input signal.
9. The intelligent regulation device of claim 8, wherein: the acquisition module, the generation module and the control module are controlled to execute the intelligent adjustment method of any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the intelligent adjustment method as claimed in any one of claims 1 to 7 are implemented when the processor executes the program.
11. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the smart adjustment method according to any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113251626A (en) * | 2021-04-15 | 2021-08-13 | 青岛海尔空调器有限总公司 | Rotating speed adjusting method and device for air deflector and air conditioner |
| WO2023116107A1 (en) * | 2021-12-20 | 2023-06-29 | 青岛海尔空调器有限总公司 | Air conditioner control method and device, and storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1487249A (en) * | 2002-10-02 | 2004-04-07 | Lg������ʽ���� | Air conditioner system adapted for user's character and its operating method |
| CN103629784A (en) * | 2012-08-20 | 2014-03-12 | 美的集团股份有限公司 | Air conditioner controller, air conditioner control system and air conditioner control method based on biological signals |
| CN104154633A (en) * | 2014-08-19 | 2014-11-19 | 珠海格力电器股份有限公司 | Intelligent control method, device and system for air conditioner |
| CN104197470A (en) * | 2014-09-01 | 2014-12-10 | 上海摩软通讯技术有限公司 | Wearing device, and system and operation method for controlling intelligent household electrical appliances by means of wearing device |
| CN104235997A (en) * | 2013-06-08 | 2014-12-24 | 广东美的制冷设备有限公司 | Air conditioner control method and air conditioner system |
| CN104359202A (en) * | 2014-12-05 | 2015-02-18 | 张蜀军 | Air-conditioner temperature control system and method |
| CN105757904A (en) * | 2016-04-05 | 2016-07-13 | 上海师范大学 | Adaptive air conditioner on basis of wearable equipment |
| CN106931601A (en) * | 2017-03-23 | 2017-07-07 | 中国联合网络通信集团有限公司 | Air-conditioning temperature control method and air-conditioning temperature-controlling system |
| CN108088034A (en) * | 2017-11-17 | 2018-05-29 | 盐城天顺机械科技有限公司 | A kind of air-conditioner control system |
| KR20180066537A (en) * | 2016-12-09 | 2018-06-19 | 엘지전자 주식회사 | control method of an air conditioner |
| CN110553367A (en) * | 2019-08-12 | 2019-12-10 | 珠海格力电器股份有限公司 | intelligent air conditioner control method and system and air conditioner |
-
2020
- 2020-12-03 CN CN202011397819.8A patent/CN112503736A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1487249A (en) * | 2002-10-02 | 2004-04-07 | Lg������ʽ���� | Air conditioner system adapted for user's character and its operating method |
| CN103629784A (en) * | 2012-08-20 | 2014-03-12 | 美的集团股份有限公司 | Air conditioner controller, air conditioner control system and air conditioner control method based on biological signals |
| CN104235997A (en) * | 2013-06-08 | 2014-12-24 | 广东美的制冷设备有限公司 | Air conditioner control method and air conditioner system |
| CN104154633A (en) * | 2014-08-19 | 2014-11-19 | 珠海格力电器股份有限公司 | Intelligent control method, device and system for air conditioner |
| CN104197470A (en) * | 2014-09-01 | 2014-12-10 | 上海摩软通讯技术有限公司 | Wearing device, and system and operation method for controlling intelligent household electrical appliances by means of wearing device |
| CN104359202A (en) * | 2014-12-05 | 2015-02-18 | 张蜀军 | Air-conditioner temperature control system and method |
| CN105757904A (en) * | 2016-04-05 | 2016-07-13 | 上海师范大学 | Adaptive air conditioner on basis of wearable equipment |
| KR20180066537A (en) * | 2016-12-09 | 2018-06-19 | 엘지전자 주식회사 | control method of an air conditioner |
| CN106931601A (en) * | 2017-03-23 | 2017-07-07 | 中国联合网络通信集团有限公司 | Air-conditioning temperature control method and air-conditioning temperature-controlling system |
| CN108088034A (en) * | 2017-11-17 | 2018-05-29 | 盐城天顺机械科技有限公司 | A kind of air-conditioner control system |
| CN110553367A (en) * | 2019-08-12 | 2019-12-10 | 珠海格力电器股份有限公司 | intelligent air conditioner control method and system and air conditioner |
Non-Patent Citations (2)
| Title |
|---|
| 李正吾: "房间空气调器", 《新电工手册 下 第2版》 * |
| 汪钰斌: "可穿戴设备分类与功能", 《大学信息基础》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113251626A (en) * | 2021-04-15 | 2021-08-13 | 青岛海尔空调器有限总公司 | Rotating speed adjusting method and device for air deflector and air conditioner |
| WO2023116107A1 (en) * | 2021-12-20 | 2023-06-29 | 青岛海尔空调器有限总公司 | Air conditioner control method and device, and storage medium |
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