CN113028612B - Control method and device of air conditioner, storage medium and processor - Google Patents
Control method and device of air conditioner, storage medium and processor Download PDFInfo
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- CN113028612B CN113028612B CN202110328583.0A CN202110328583A CN113028612B CN 113028612 B CN113028612 B CN 113028612B CN 202110328583 A CN202110328583 A CN 202110328583A CN 113028612 B CN113028612 B CN 113028612B
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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
- F24F11/66—Sleep 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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
- F24F11/526—Indication arrangements, e.g. displays giving audible indications
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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
- F24F11/50—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
- F24F11/64—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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
Abstract
The application discloses a control method and device of an air conditioner, a storage medium and a processor. The method comprises the following steps: collecting a sound decibel value in the environment where the air conditioner is located through a voice module; judging whether the sound decibel value is larger than a preset sound decibel value or not through a control module, and if the sound decibel value is larger than the preset sound decibel value, acquiring sound information of a user in the environment where the air conditioner is located based on a voice module; identifying and analyzing the fatigue degree in the sound information of the user based on the hidden Markov model to obtain a fatigue degree value; and determining that the air conditioner operates in the intelligent sleep mode based on the fatigue value. Through the method and the device, the problem that in the prior art, the operation mode of the air conditioner is difficult to automatically adjust in due time according to the self requirement of the user, and the experience degree of the user is low is solved.
Description
Technical Field
The application relates to the technical field of household appliance control, in particular to a control method and device of an air conditioner, a storage medium and a processor.
Background
At present, the operation mode of an air conditioner is usually a mode preset by a user, for example, in summer, when the user just comes home, the indoor temperature is high, and the air conditioner is controlled to operate in a cooling mode.
Aiming at the problem that the operation mode of the air conditioner is difficult to be automatically adjusted in due time according to the self requirement of a user in the prior art, so that the experience degree of the user is low, an effective solution is not provided at present.
Disclosure of Invention
The main purpose of the present application is to provide a control method and device for an air conditioner, a storage medium, and a processor, so as to solve the problem in the prior art that it is difficult to automatically adjust the operation mode of the air conditioner in due time according to the user's own needs, which results in a low user experience.
In order to achieve the above object, according to one aspect of the present application, there is provided a control method of an air conditioner. The method comprises the following steps: collecting a sound decibel value in the environment where the air conditioner is located through a voice module; judging whether the sound decibel value is larger than a preset sound decibel value or not through a control module, and if the sound decibel value is larger than the preset sound decibel value, acquiring sound information of a user in the environment where the air conditioner is located based on the voice module; identifying and analyzing the fatigue degree in the sound information of the user based on a hidden Markov model to obtain a fatigue degree value; determining that the air conditioner operates in an intelligent sleep mode based on the fatigue value.
Further, determining that the air conditioner operates in the smart sleep mode based on the fatigue value includes: judging whether the fatigue value is larger than a preset fatigue value or not; if the fatigue value is larger than the preset fatigue value, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode; and when receiving an instruction that the user confirms to control the air conditioner to enter the intelligent sleep mode, controlling the air conditioner to enter the intelligent sleep mode.
Further, controlling the air conditioner to enter the smart sleep mode includes: determining operation parameters of the air conditioner in the intelligent sleep mode, wherein the operation parameters at least comprise: temperature parameters, wind speed parameters and wind sweeping angle parameters; and controlling the air conditioner to operate according to the operation parameters.
Further, after the control module determines whether the sound decibel value is greater than a preset sound decibel value, the method further includes: if the sound decibel value is not greater than the preset sound decibel value, acquiring the current time through a WIFI module; and if the current time is greater than the preset time, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode.
Further, before collecting the decibel value of the sound in the environment where the air conditioner is located through the voice module, the method further comprises: acquiring the illumination intensity value in the area where the air conditioner is located through a photosensitive module; judging whether the illumination intensity value is greater than a preset illumination intensity value; and if the illumination intensity value is greater than the preset illumination intensity value, executing a step of acquiring a sound decibel value in the environment where the air conditioner is located through a voice module.
Further, the method further comprises: if the illumination intensity value is not greater than the preset illumination intensity value, acquiring the current time through a WIFI module; and if the current time is greater than the preset time, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode.
Further, after collecting the voice information of the user in the environment where the air conditioner is located based on the voice module, the method further comprises: preprocessing the voice information of the user to obtain processed voice information, wherein the preprocessing comprises at least one of the following steps: and removing noise and interference sound.
Further, identifying and analyzing the fatigue degree in the sound information of the user based on the hidden markov model, and obtaining the fatigue degree value comprises: calculating the processed sound information based on a Mel frequency cepstrum coefficient, and extracting a plurality of sound characteristic information; weighting each extracted sound characteristic information to obtain a plurality of optimized sound characteristic information; combining the optimized sound characteristic information to obtain combined sound characteristic information; and adopting a hidden Markov model to carry out fatigue recognition analysis on the combined sound characteristic information to obtain a fatigue value.
Further, if the sound decibel value is greater than the preset sound decibel value, the method further includes: acquiring physical sign parameters of a user in an environment where the air conditioner is located; and determining that the air conditioner operates according to an intelligent sleep mode based on the physical sign parameters.
Further, the method further comprises: after the air conditioner enters an intelligent sleep mode, monitoring the current physical sign parameters of the user; and adjusting the temperature parameter of the air conditioner based on the current physical sign parameter of the user.
In order to achieve the above object, according to another aspect of the present application, there is provided a control apparatus of an air conditioner. The device includes: the first acquisition unit is used for acquiring the sound decibel value in the environment where the air conditioner is located through the voice module; the first judging unit is used for judging whether the sound decibel value is larger than a preset sound decibel value or not through a control module, and if the sound decibel value is larger than the preset sound decibel value, acquiring sound information of a user in the environment where the air conditioner is located based on the voice module; the first identification unit is used for identifying and analyzing the fatigue degree in the sound information of the user based on a hidden Markov model to obtain a fatigue degree value; a first determination unit for determining that the air conditioner operates in an intelligent sleep mode based on the fatigue value.
Further, the first determination unit includes: the first judgment module is used for judging whether the fatigue value is greater than a preset fatigue value or not; the first triggering module is used for triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode if the fatigue value is larger than the preset fatigue value; and the first control module is used for controlling the air conditioner to enter the intelligent sleep mode when receiving an instruction that the user confirms to control the air conditioner to enter the intelligent sleep mode.
Further, the first determination unit includes: a first determining module, configured to determine operating parameters of the air conditioner in the smart sleep mode, where the operating parameters at least include: temperature parameters, wind speed parameters and wind sweeping angle parameters; and the second control module is used for controlling the air conditioner to operate according to the operation parameters.
Further, the apparatus further comprises: the first obtaining unit is used for obtaining the current time through the WIFI module if the sound decibel value is not greater than a preset sound decibel value after judging whether the sound decibel value is greater than the preset sound decibel value through the control module; and the first triggering unit is used for triggering voice reminding information if the current time is greater than the preset time so as to remind the user to control the air conditioner to enter the intelligent sleep mode.
Further, the apparatus further comprises: the second acquisition unit is used for acquiring the illumination intensity value in the area where the air conditioner is located through the photosensitive module before acquiring the sound decibel value in the environment where the air conditioner is located through the voice module; the second judging unit is used for judging whether the illumination intensity value is larger than a preset illumination intensity value; and the first execution unit is used for executing the step of acquiring the sound decibel value of the air conditioner in the environment through the voice module if the illumination intensity value is greater than the preset illumination intensity value.
Further, the apparatus further comprises: the second obtaining unit is used for obtaining the current time through the WIFI module if the illumination intensity value is not greater than the preset illumination intensity value; and the second triggering unit is used for triggering voice reminding information if the current time is greater than the preset time so as to remind the user to control the air conditioner to enter the intelligent sleep mode.
Further, the apparatus further comprises: the first processing unit is used for preprocessing the voice information of the user in the environment where the air conditioner is located after the voice information of the user is collected based on the voice module, so as to obtain processed voice information, wherein the preprocessing comprises at least one of the following steps: and removing noise and interference sound.
Further, the first recognition unit includes: the first calculation module is used for calculating the processed sound information based on a Mel frequency cepstrum coefficient and extracting a plurality of sound characteristic information; the acquisition module is used for performing weighting processing on each extracted sound characteristic information to obtain a plurality of optimized sound characteristic information; the combination module is used for combining the optimized sound characteristic information to obtain combined sound characteristic information; and the first identification module is used for identifying and analyzing the fatigue degree of the combined sound characteristic information by adopting a hidden Markov model to obtain a fatigue degree value.
Further, the apparatus further comprises: a third obtaining unit, configured to obtain body sign parameters of a user in an environment where the air conditioner is located, if the sound decibel value is greater than the preset sound decibel value; a second determination unit, configured to determine whether to control the air conditioner to enter an intelligent sleep mode based on the physical sign parameter.
Further, the apparatus further comprises: the first monitoring unit is used for monitoring the current physical sign parameters of the user after the air conditioner enters the intelligent sleep mode; the first adjusting unit is used for adjusting the temperature parameter of the air conditioner based on the current physical sign parameter of the user.
Through the application, the following steps are adopted: collecting a sound decibel value in the environment where the air conditioner is located through a voice module; judging whether the sound decibel value is larger than a preset sound decibel value or not through a control module, and if the sound decibel value is larger than the preset sound decibel value, acquiring sound information of a user in the environment where the air conditioner is located based on the voice module; identifying and analyzing the fatigue degree in the sound information of the user based on a hidden Markov model to obtain a fatigue degree value; the air conditioner is determined to operate according to the intelligent sleep mode based on the fatigue value, and the problem that the experience degree of a user is low due to the fact that the operation mode of the air conditioner is difficult to automatically adjust in due time according to the self requirement of the user in the prior art is solved. The air conditioner is automatically regulated and controlled to operate according to the intelligent sleep mode according to the sound decibel value in the environment and the fatigue value of the user calculated based on the hidden Markov model, so that the operation mode of the air conditioner is timely adjusted according to the self requirement of the user, and the experience degree of the user is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flowchart of a control method of an air conditioner according to an embodiment of the present application;
fig. 2 is a block diagram of a system structure of a control method of an air conditioner according to an embodiment of the present application;
fig. 3 is a system flowchart of a control method of an air conditioner according to an embodiment of the present application;
FIG. 4 is a system voice module flowchart of a control method of an air conditioner according to an embodiment of the present application;
fig. 5 is a schematic diagram of a control device of an air conditioner according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application 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 should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, 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.
According to an embodiment of the present application, there is provided a control method of an air conditioner.
Fig. 1 is a flowchart of a control method of an air conditioner according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
step S101, collecting sound decibel values in the environment where the air conditioner is located through a voice module.
Fig. 2 is a system block diagram of a control method of an air conditioner according to an embodiment of the present application, and as shown in fig. 2, the system block diagram of the air conditioner includes a control module, a Wifi module, a photosensitive module, and a voice module, and a sound decibel value in an environment where the air conditioner is located is collected by the voice module.
For example, the decibel value of sound in the environment surrounding the air conditioner may be derived from user sounds, sounds from electronic devices, noise generated by buildings in the environment, and the like. Generally, before the voice module collects the decibel value of the sound in the environment where the air conditioner is located, the lighting factor needs to be considered.
And step S102, judging whether the sound decibel value is larger than a preset sound decibel value or not through the control module, and if the sound decibel value is larger than the preset sound decibel value, acquiring the sound information of the user in the environment where the air conditioner is located based on the voice module.
And step S103, identifying and analyzing the fatigue degree in the sound information of the user based on the hidden Markov model to obtain a fatigue degree value.
And step S104, determining that the air conditioner operates in the intelligent sleep mode based on the fatigue value.
Through the steps, the air conditioner is automatically regulated and controlled to operate according to the intelligent sleep mode according to the sound decibel value in the environment and the fatigue value of the user calculated based on the hidden Markov model, so that the operation mode of the air conditioner is timely regulated according to the self requirement of the user, and the experience degree of the user is improved.
Optionally, in the control method of an air conditioner provided in an embodiment of the present application, before collecting, by a speech module, a sound decibel value in an environment where the air conditioner is located, the method further includes: acquiring the illumination intensity value in the area where the air conditioner is located through a photosensitive module; judging whether the illumination intensity value is greater than a preset illumination intensity value or not; and if the illumination intensity value is greater than the preset illumination intensity value, executing the step of collecting the sound decibel value in the environment where the air conditioner is located through the voice module.
Fig. 3 is a system flowchart of a control method of an air conditioner according to an embodiment of the present application; as shown in fig. 3: after the air conditioner is powered on, the air conditioner system can directly collect the sound decibel value in the environment where the air conditioner is located through the voice module on the one hand, and on the other hand also can obtain real-time environment illumination intensity through the photosensitive module, feeds back the real-time photosensitive value to the control module, and the control module prejudges the illumination intensity, and if the preset illumination intensity value is 20, the current illumination intensity is 30, and the current illumination intensity value is greater than the preset illumination intensity value, and then carries out the collection of the sound decibel value in the environment where the air conditioner is located.
If the current illumination intensity value is larger than the preset illumination intensity value, whether the sound decibel value is larger than the preset sound decibel value or not is judged based on the control module, if the preset sound decibel value is 20dB and the current sound decibel value is 30dB, the sound decibel value is larger than the preset sound decibel value, and the voice module collects the sound information of the user in the environment where the air conditioner is located.
Optionally, in the control method of the air conditioner provided in the embodiment of the present application, determining whether to control the air conditioner to enter the smart sleep mode based on the fatigue value includes: judging whether the fatigue value is larger than a preset fatigue value or not; if the fatigue value is larger than the preset fatigue value, triggering voice reminding information to remind a user to control the air conditioner to enter an intelligent sleep mode; and when an instruction that a user confirms that the air conditioner is controlled to enter the intelligent sleep mode is received, controlling the air conditioner to enter the intelligent sleep mode.
For example, the voice module collects voice information of a user in an environment where the air conditioner is located, obtains that the current fatigue degree of the user is 60, and the preset fatigue degree value is 50, and if the current fatigue degree of the user is greater than the preset fatigue degree, triggers voice reminding information to remind the user to control the air conditioner to enter an intelligent sleep mode, wherein the intelligent sleep mode is a sleep mode set by the system for the user. The operation parameters of the air conditioner in the intelligent sleep mode at least comprise: the control module controls the air conditioner to operate according to the operation parameters when receiving an instruction of a user for confirming that the air conditioner is controlled to enter the intelligent sleep mode.
For example, in the smart sleep mode, the operating parameters for controlling the air conditioner are as follows: the wind sweeping angle is 45 degrees, the set temperature T is 26.7 degrees, and the wind speed is a low wind shield.
If the sound decibel value is not greater than the preset sound decibel value, optionally, in the control method of the air conditioner provided in the embodiment of the present application, after determining, by the control module, whether the sound decibel value is greater than the preset sound decibel value, the method further includes: if the sound decibel value is not greater than the preset sound decibel value, the current time is obtained through the WIFI module; and if the current time is greater than the preset time, triggering voice reminding information to remind a user to control the air conditioner to enter an intelligent sleep mode.
When the current illumination intensity value is not greater than the preset illumination intensity value, optionally, in the control method of an air conditioner provided in the embodiment of the present application, the method further includes: if the illumination intensity value is not greater than the preset illumination intensity value, the current time is obtained through the WIFI module; and if the current time is greater than the preset time, triggering voice reminding information to remind a user to control the air conditioner to enter an intelligent sleep mode.
For example, in fig. 3, if the preset sound decibel value is 20dB (corresponding to whether the environmental decibel value exceeds the set value in fig. 3), the current sound decibel value is 10dB, and if the sound decibel value is not greater than the preset sound decibel value, the current time is obtained through the WIFI module; and if the current time is greater than the preset time, triggering voice reminding information to remind a user to control the air conditioner to enter an intelligent sleep mode. For example, the preset time is 10:00 pm, the current time is 10 pm: and 30, the air conditioner enters an intelligent sleep mode.
Optionally, in the control method of an air conditioner provided in an embodiment of the present application, after acquiring, based on the voice module, voice information of a user in an environment where the air conditioner is located, the method further includes: preprocessing the voice information of the user to obtain processed voice information, wherein the preprocessing comprises at least one of the following steps: and removing noise and interference sound.
By the scheme, the voice information of the user is preprocessed, so that the accuracy of the processed voice information can be ensured, and the fatigue value can be identified from the processed voice information more accurately in the following process.
Optionally, in the control method of an air conditioner provided in the embodiment of the present application, identifying and analyzing fatigue in the sound information of the user based on a hidden markov model, and obtaining the fatigue value includes: calculating the processed sound information based on a Mel frequency cepstrum coefficient, and extracting a plurality of sound characteristic information; weighting each extracted sound characteristic information to obtain a plurality of optimized sound characteristic information; combining the optimized sound characteristic information to obtain combined sound characteristic information; and carrying out fatigue recognition analysis on the combined sound characteristic information by adopting a hidden Markov model to obtain a fatigue value.
Fig. 4 is a flowchart of a system voice module of a control method of an air conditioner according to an embodiment of the present application, and as shown in fig. 4, after a voice module inputs voice information of a user (corresponding to signal input in fig. 4), preprocessing is performed to reduce interference items of input information, so that a calculation process is more accurate. The preprocessed voice information is subjected to voice feature extraction in an HMM model based on Mel Frequency Cepstrum Coefficients (MFCC), the extracted feature data is subjected to weighting optimization and feature combination, and the fatigue degree in the voice information of the user can be accurately and quickly identified through training of the HMM model (corresponding to the hidden Markov model).
Optionally, in the control method of an air conditioner provided in the embodiment of the present application, if the sound decibel value is greater than the preset sound decibel value, the method further includes: acquiring physical sign parameters of a user in an environment where an air conditioner is located; and determining that the air conditioner operates according to the intelligent sleep mode based on the physical sign parameters.
For example, the wearable device of the user acquires parameters such as the real-time heart rate, the body temperature and the motion state of the user in the environment where the air conditioner is located, whether the user enters the sleep state and the specific sleep state is judged, and if the air conditioner enters the intelligent sleep mode, parameter adjustment of different air conditioners is performed according to different sleep states of the user.
Optionally, in the control method of an air conditioner provided in an embodiment of the present application, the method further includes: after the air conditioner enters an intelligent sleep mode, monitoring the current physical sign parameters of a user; and adjusting the temperature parameter of the air conditioner based on the current physical sign parameter of the user.
For example, for a user with light sleep, which is more suitable for a sleep environment with a lower temperature, the control module reduces the temperature parameter of the air conditioner based on the current physical sign parameter of the user. And aiming at the deep sleep, the ambient temperature needs to be increased, and the control module increases the temperature parameter of the air conditioner based on the current physical sign parameter of the user. Through monitoring the current physical sign parameters of the user, the corresponding sleep temperature regulation is set, so that the sleep temperature experience of the user can be improved.
According to the control method of the air conditioner, the sound decibel value of the environment where the air conditioner is located is collected through the voice module; judging whether the sound decibel value is larger than a preset sound decibel value or not through a control module, and if the sound decibel value is larger than the preset sound decibel value, acquiring sound information of a user in the environment where the air conditioner is located based on a voice module; identifying and analyzing the fatigue degree in the sound information of the user based on the hidden Markov model to obtain a fatigue degree value; the air conditioner is determined to operate according to the intelligent sleep mode based on the fatigue value, and the problem that the experience degree of a user is low due to the fact that the operation mode of the air conditioner is difficult to automatically adjust in due time according to the self requirement of the user in the prior art is solved. The air conditioner is automatically regulated and controlled to operate according to the intelligent sleep mode according to the sound decibel value in the environment and the fatigue value of the user calculated based on the hidden Markov model, so that the operation mode of the air conditioner is timely adjusted according to the self requirement of the user, and the experience degree of the user is improved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than here.
The embodiment of the present application further provides a control device of an air conditioner, and it should be noted that the control device of the air conditioner according to the embodiment of the present application may be used to execute the control method for the air conditioner according to the embodiment of the present application. The following describes a control device of an air conditioner according to an embodiment of the present application.
Fig. 5 is a schematic diagram of a control apparatus of an air conditioner according to an embodiment of the present application. As shown in fig. 5, the apparatus includes: the device comprises a first acquisition unit 501, a first judgment unit 502, a first identification unit 503 and a first determination unit 504.
Specifically, the first collecting unit 501 is configured to collect, through the voice module, a sound decibel value in an environment where the air conditioner is located;
a first judging unit 502, configured to judge, by the control module, whether the sound decibel value is greater than a preset sound decibel value, and if the sound decibel value is greater than the preset sound decibel value, collect, based on the voice module, sound information of a user in an environment where the air conditioner is located;
a first identification unit 503, configured to perform identification analysis on fatigue in the sound information of the user based on a hidden markov model, to obtain a fatigue value;
a first determination unit 504 for determining that the air conditioner operates in the smart sleep mode based on the fatigue value.
According to the control device of the air conditioner, the first acquisition unit 501 acquires the sound decibel value of the environment where the air conditioner is located through the voice module; the first judging unit 502 judges whether the sound decibel value is greater than a preset sound decibel value through the control module, and acquires the sound information of the user in the environment where the air conditioner is located based on the voice module if the sound decibel value is greater than the preset sound decibel value; the first recognition unit 503 performs recognition analysis on fatigue in the sound information of the user based on the hidden markov model to obtain a fatigue value; the first determining unit 504 determines that the air conditioner operates in the intelligent sleep mode based on the fatigue value, and solves the problem that the user experience is low due to the fact that the operation mode of the air conditioner is difficult to automatically adjust in due time according to the user's own requirements in the prior art. The air conditioner is automatically regulated and controlled to operate according to the intelligent sleep mode according to the sound decibel value in the environment and the fatigue value of the user calculated based on the hidden Markov model, so that the operation mode of the air conditioner is timely adjusted according to the self requirement of the user, and the experience degree of the user is improved.
Alternatively, in the control device of an air conditioner provided in an embodiment of the present application, the first determining unit 504 includes: the first judgment module is used for judging whether the fatigue value is greater than a preset fatigue value or not; the first triggering module is used for triggering voice reminding information to remind a user to control the air conditioner to enter an intelligent sleep mode if the fatigue value is larger than a preset fatigue value; and the first control module is used for controlling the air conditioner to enter the intelligent sleep mode when receiving an instruction that a user confirms that the air conditioner is controlled to enter the intelligent sleep mode.
Optionally, in the control apparatus of an air conditioner provided in an embodiment of the present application, the first determining unit 504 includes: the first determining module is used for determining the operating parameters of the air conditioner in the intelligent sleep mode, wherein the operating parameters at least comprise: temperature parameters, wind speed parameters and wind sweeping angle parameters; and the second control module is used for controlling the air conditioner to operate according to the operation parameters.
Optionally, in the control device of an air conditioner provided in an embodiment of the present application, the device further includes: the first obtaining unit is used for obtaining the current time through the WIFI module if the sound decibel value is not greater than the preset sound decibel value after judging whether the sound decibel value is greater than the preset sound decibel value through the control module; and the first triggering unit is used for triggering the voice reminding information if the current time is greater than the preset time so as to remind a user to control the air conditioner to enter the intelligent sleep mode.
Optionally, in the control device of an air conditioner provided in an embodiment of the present application, the device further includes: the second acquisition unit is used for acquiring the illumination intensity value in the area where the air conditioner is positioned through the photosensitive module before acquiring the sound decibel value in the environment where the air conditioner is positioned through the voice module; the second judgment unit is used for judging whether the illumination intensity value is greater than the preset illumination intensity value; and the first execution unit is used for executing the step of acquiring the sound decibel value in the environment where the air conditioner is located through the voice module if the illumination intensity value is greater than the preset illumination intensity value.
Optionally, in the control device of an air conditioner provided in an embodiment of the present application, the device further includes: the second obtaining unit is used for obtaining the current time through the WIFI module if the illumination intensity value is not greater than the preset illumination intensity value; and the second triggering unit is used for triggering the voice reminding information if the current time is greater than the preset time so as to remind a user to control the air conditioner to enter the intelligent sleep mode.
Optionally, in the control device of an air conditioner provided in an embodiment of the present application, the device further includes: the first processing unit is used for preprocessing the sound information of the user in the environment where the air conditioner is located after the sound information of the user is collected based on the voice module, so as to obtain the processed sound information, wherein the preprocessing comprises at least one of the following steps: and removing noise and interference sound.
Optionally, in the control device of an air conditioner provided in an embodiment of the present application, the first identifying unit 503 includes: the first calculation module is used for calculating the processed sound information based on a Mel frequency cepstrum coefficient and extracting a plurality of sound characteristic information; the acquisition module is used for performing weighting processing on each piece of extracted sound characteristic information to obtain a plurality of pieces of optimized sound characteristic information; the combination module is used for combining the optimized sound characteristic information to obtain combined sound characteristic information; and the first identification module is used for identifying and analyzing the fatigue degree of the combined sound characteristic information by adopting a hidden Markov model to obtain a fatigue degree value.
Optionally, in the control device of an air conditioner provided in an embodiment of the present application, the device further includes: the third obtaining unit is used for obtaining physical sign parameters of the user in the environment where the air conditioner is located after the sound decibel value is larger than the preset sound decibel value; and the second determination unit is used for determining whether to control the air conditioner to enter the intelligent sleep mode or not based on the physical sign parameters.
Optionally, in the control device of an air conditioner provided in an embodiment of the present application, the device further includes: the first monitoring unit is used for monitoring the current physical sign parameters of the user after the air conditioner enters the intelligent sleep mode; the first adjusting unit is used for adjusting the temperature parameter of the air conditioner based on the current physical sign parameter of the user.
The control device of the air conditioner comprises a processor and a memory, wherein the first acquisition unit 501, the first judgment unit 502, the first identification unit 503, the first determination unit 504 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. One or more than one kernel can be set, and the control of the air conditioner is carried out by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium having a program stored thereon, the program implementing the control method of the air conditioner when being executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program executes a control method of an air conditioner when running.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: collecting a sound decibel value in the environment where the air conditioner is located through a voice module; judging whether the sound decibel value is larger than a preset sound decibel value or not through a control module, and if the sound decibel value is larger than the preset sound decibel value, acquiring sound information of a user in the environment where the air conditioner is located based on the voice module; identifying and analyzing the fatigue degree in the sound information of the user based on a hidden Markov model to obtain a fatigue degree value; determining that the air conditioner operates in an intelligent sleep mode based on the fatigue value.
The processor executes the program and further realizes the following steps: judging whether the fatigue value is larger than a preset fatigue value or not; if the fatigue value is larger than the preset fatigue value, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode; and when receiving an instruction that the user confirms to control the air conditioner to enter the intelligent sleep mode, controlling the air conditioner to enter the intelligent sleep mode.
The processor executes the program and further realizes the following steps: controlling the air conditioner to enter the smart sleep mode includes: determining operation parameters of the air conditioner in the intelligent sleep mode, wherein the operation parameters at least comprise: temperature parameters, wind speed parameters and wind sweeping angle parameters; and controlling the air conditioner to operate according to the operation parameters.
The processor executes the program and further realizes the following steps: if the sound decibel value is not greater than the preset sound decibel value, acquiring the current time through a WIFI module; and if the current time is greater than the preset time, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode.
The processor executes the program and further realizes the following steps: acquiring the illumination intensity value in the area where the air conditioner is located through a photosensitive module; judging whether the illumination intensity value is greater than a preset illumination intensity value; and if the illumination intensity value is greater than the preset illumination intensity value, executing a step of acquiring a sound decibel value in the environment where the air conditioner is located through a voice module.
The processor executes the program and further realizes the following steps: if the illumination intensity value is not greater than the preset illumination intensity value, acquiring the current time through a WIFI module; and if the current time is greater than the preset time, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode.
The processor executes the program and further realizes the following steps: after sound information of a user in an environment where the air conditioner is located is collected based on the voice module, preprocessing the sound information of the user to obtain processed sound information, wherein the preprocessing comprises at least one of the following steps: and removing noise and interference sound.
The processor executes the program and further realizes the following steps: calculating the processed sound information based on a Mel frequency cepstrum coefficient, and extracting a plurality of sound characteristic information; weighting each extracted sound characteristic information to obtain a plurality of optimized sound characteristic information; combining the optimized sound characteristic information to obtain combined sound characteristic information; and carrying out fatigue recognition analysis on the combined sound characteristic information by adopting a hidden Markov model to obtain a fatigue value.
The processor executes the program and further realizes the following steps: if the sound decibel value is larger than the preset sound decibel value, acquiring physical sign parameters of a user in the environment where the air conditioner is located; determining whether to control the air conditioner to enter an intelligent sleep mode based on the physical sign parameters.
The processor executes the program and further realizes the following steps: after the air conditioner enters an intelligent sleep mode, monitoring the current physical sign parameters of the user; and adjusting the temperature parameter of the air conditioner based on the current physical sign parameter of the user.
The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: collecting a sound decibel value in the environment where the air conditioner is located through a voice module; judging whether the sound decibel value is larger than a preset sound decibel value or not through a control module, and if the sound decibel value is larger than the preset sound decibel value, acquiring sound information of a user in the environment where the air conditioner is located based on the voice module; identifying and analyzing the fatigue degree in the sound information of the user based on a hidden Markov model to obtain a fatigue degree value; determining that the air conditioner operates in an intelligent sleep mode based on the fatigue value.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: judging whether the fatigue value is larger than a preset fatigue value or not; if the fatigue value is larger than the preset fatigue value, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode; and when receiving an instruction that the user confirms to control the air conditioner to enter the intelligent sleep mode, controlling the air conditioner to enter the intelligent sleep mode.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: controlling the air conditioner to enter the smart sleep mode includes: determining operation parameters of the air conditioner in the intelligent sleep mode, wherein the operation parameters at least comprise: temperature parameters, wind speed parameters and wind sweeping angle parameters; and controlling the air conditioner to operate according to the operation parameters.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: if the sound decibel value is not greater than the preset sound decibel value, acquiring the current time through a WIFI module; and if the current time is greater than the preset time, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: acquiring an illumination intensity value in an area where the air conditioner is located through a photosensitive module; judging whether the illumination intensity value is greater than a preset illumination intensity value; and if the illumination intensity value is greater than the preset illumination intensity value, executing a step of acquiring a sound decibel value in the environment where the air conditioner is located through a voice module.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: if the illumination intensity value is not greater than the preset illumination intensity value, acquiring the current time through a WIFI module; and if the current time is greater than the preset time, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: after sound information of a user in an environment where the air conditioner is located is collected based on the voice module, preprocessing the sound information of the user to obtain processed sound information, wherein the preprocessing comprises at least one of the following steps: and removing noise and interference sound.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: calculating the processed sound information based on a Mel frequency cepstrum coefficient, and extracting a plurality of sound characteristic information; weighting each extracted sound characteristic information to obtain a plurality of optimized sound characteristic information; combining the optimized sound characteristic information to obtain combined sound characteristic information; and adopting a hidden Markov model to carry out fatigue recognition analysis on the combined sound characteristic information to obtain a fatigue value.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: if the sound decibel value is larger than the preset sound decibel value, acquiring physical sign parameters of a user in the environment where the air conditioner is located; determining whether to control the air conditioner to enter an intelligent sleep mode based on the physical sign parameters.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: after the air conditioner enters an intelligent sleep mode, monitoring the current physical sign parameters of the user; and adjusting the temperature parameter of the air conditioner based on the current physical sign parameter of the user.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (9)
1. A method of controlling an air conditioner, comprising:
collecting a sound decibel value in the environment where the air conditioner is located through a voice module;
judging whether the sound decibel value is larger than a preset sound decibel value or not through a control module, and if the sound decibel value is larger than the preset sound decibel value, acquiring sound information of a user in the environment where the air conditioner is located based on the voice module;
identifying and analyzing the fatigue degree in the sound information of the user based on a hidden Markov model to obtain a fatigue degree value;
determining that the air conditioner operates in an intelligent sleep mode based on the fatigue value;
after judging whether the sound decibel value is greater than a preset sound decibel value or not through a control module, the method further comprises the following steps:
if the sound decibel value is not greater than the preset sound decibel value, acquiring the current time through a WIFI module;
if the current time is longer than the preset time, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode;
wherein after collecting the voice information of the user in the environment of the air conditioner based on the voice module, the method further comprises:
preprocessing the voice information of the user to obtain processed voice information, wherein the preprocessing comprises at least one of the following steps: and removing noise and interference sound.
2. The method of claim 1, wherein determining that the air conditioner is operating in a smart sleep mode based on the fatigue value comprises:
judging whether the fatigue value is larger than a preset fatigue value or not;
if the fatigue value is larger than the preset fatigue value, triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode;
and when receiving an instruction that the user confirms to control the air conditioner to enter the intelligent sleep mode, controlling the air conditioner to enter the intelligent sleep mode.
3. The method of claim 1, wherein controlling the air conditioner to enter the smart sleep mode comprises:
determining operation parameters of the air conditioner in the intelligent sleep mode, wherein the operation parameters at least comprise: temperature parameters, wind speed parameters and wind sweeping angle parameters;
and controlling the air conditioner to operate according to the operation parameters.
4. The method of claim 1, wherein before collecting the decibel value of the sound in the environment where the air conditioner is located through the voice module, the method further comprises:
acquiring the illumination intensity value in the area where the air conditioner is located through a photosensitive module;
judging whether the illumination intensity value is larger than a preset illumination intensity value or not;
and if the illumination intensity value is greater than the preset illumination intensity value, executing a step of acquiring a sound decibel value in the environment where the air conditioner is located through a voice module.
5. The method of claim 1, wherein after collecting voice information of a user in an environment where the air conditioner is located based on the voice module, the method further comprises:
identifying and analyzing fatigue degree in the sound information of the user based on a hidden Markov model, and obtaining the fatigue degree value comprises the following steps: calculating the processed sound information based on a Mel frequency cepstrum coefficient, and extracting a plurality of sound characteristic information; weighting each extracted sound characteristic information to obtain a plurality of optimized sound characteristic information; combining the optimized sound characteristic information to obtain combined sound characteristic information; and adopting a hidden Markov model to carry out fatigue recognition analysis on the combined sound characteristic information to obtain a fatigue value.
6. The method of claim 1, wherein if the sound decibel value is greater than the predetermined sound decibel value, the method further comprises:
acquiring physical sign parameters of a user in an environment where the air conditioner is located;
determining that the air conditioner operates in an intelligent sleep mode based on the physical sign parameters;
after the air conditioner enters an intelligent sleep mode, monitoring the current physical sign parameters of the user;
and adjusting the temperature parameter of the air conditioner based on the current physical sign parameter of the user.
7. A control apparatus of an air conditioner, comprising:
the first acquisition unit is used for acquiring the sound decibel value in the environment where the air conditioner is located through the voice module;
the first judging unit is used for judging whether the sound decibel value is larger than a preset sound decibel value or not through a control module, and if the sound decibel value is larger than the preset sound decibel value, acquiring sound information of a user in the environment where the air conditioner is located based on the voice module;
the first identification unit is used for identifying and analyzing the fatigue degree in the sound information of the user based on a hidden Markov model to obtain a fatigue degree value;
a first determination unit for determining that the air conditioner operates in an intelligent sleep mode based on the fatigue value;
wherein the apparatus further comprises: the first obtaining unit is used for obtaining the current time through the WIFI module if the sound decibel value is not greater than a preset sound decibel value after judging whether the sound decibel value is greater than the preset sound decibel value through the control module; the first triggering unit is used for triggering voice reminding information to remind the user to control the air conditioner to enter the intelligent sleep mode if the current time is greater than the preset time;
wherein the apparatus further comprises: the first processing unit is used for preprocessing the voice information of the user in the environment where the air conditioner is located after the voice information of the user is collected based on the voice module, so as to obtain processed voice information, wherein the preprocessing comprises at least one of the following steps: and removing noise and interference sound.
8. A processor, characterized in that the processor is configured to execute a program, wherein the program executes the control method of the air conditioner according to any one of claims 1 to 6.
9. A storage medium characterized by comprising a stored program, wherein the program executes the control method of an air conditioner according to any one of claims 1 to 6.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015135200A (en) * | 2014-01-16 | 2015-07-27 | シャープ株式会社 | air conditioner |
| CN106556122A (en) * | 2016-12-30 | 2017-04-05 | 广东美的制冷设备有限公司 | Control system, sleep control device, air-conditioner and its sleep control method |
| CN108917086A (en) * | 2018-07-28 | 2018-11-30 | 奥克斯空调股份有限公司 | A kind of sleep pattern autocontrol method and air conditioner |
| KR101940452B1 (en) * | 2018-06-14 | 2019-01-18 | 홍승수 | A ventilation system with independently controlling the space |
| CN110686354A (en) * | 2019-10-12 | 2020-01-14 | 宁波奥克斯电气股份有限公司 | Voice air conditioner control method, voice air conditioner control device and air conditioner |
| CN111609534A (en) * | 2020-05-25 | 2020-09-01 | 珠海拓芯科技有限公司 | Temperature control method and device and central temperature control system |
| CN111655125A (en) * | 2017-12-22 | 2020-09-11 | 瑞思迈传感器技术有限公司 | Devices, systems, and methods for health and medical sensing |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105659179B (en) * | 2013-08-21 | 2018-07-17 | 霍尼韦尔国际公司 | Device and method for interacting with HVAC controller |
-
2021
- 2021-03-26 CN CN202110328583.0A patent/CN113028612B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015135200A (en) * | 2014-01-16 | 2015-07-27 | シャープ株式会社 | air conditioner |
| CN106556122A (en) * | 2016-12-30 | 2017-04-05 | 广东美的制冷设备有限公司 | Control system, sleep control device, air-conditioner and its sleep control method |
| CN111655125A (en) * | 2017-12-22 | 2020-09-11 | 瑞思迈传感器技术有限公司 | Devices, systems, and methods for health and medical sensing |
| KR101940452B1 (en) * | 2018-06-14 | 2019-01-18 | 홍승수 | A ventilation system with independently controlling the space |
| CN108917086A (en) * | 2018-07-28 | 2018-11-30 | 奥克斯空调股份有限公司 | A kind of sleep pattern autocontrol method and air conditioner |
| CN110686354A (en) * | 2019-10-12 | 2020-01-14 | 宁波奥克斯电气股份有限公司 | Voice air conditioner control method, voice air conditioner control device and air conditioner |
| CN111609534A (en) * | 2020-05-25 | 2020-09-01 | 珠海拓芯科技有限公司 | Temperature control method and device and central temperature control system |
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