CN111271838A - Intelligent air conditioner control method and related device - Google Patents

Intelligent air conditioner control method and related device Download PDF

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Publication number
CN111271838A
CN111271838A CN202010076786.0A CN202010076786A CN111271838A CN 111271838 A CN111271838 A CN 111271838A CN 202010076786 A CN202010076786 A CN 202010076786A CN 111271838 A CN111271838 A CN 111271838A
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China
Prior art keywords
air conditioner
intelligent air
information
temperature
intelligent
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CN202010076786.0A
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Chinese (zh)
Inventor
余承富
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Shenzhen Danale Technology Co ltd
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Shenzhen Danale Technology Co ltd
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Priority to CN202010076786.0A priority Critical patent/CN111271838A/en
Publication of CN111271838A publication Critical patent/CN111271838A/en
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/70Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/70Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/79Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling the direction of the supplied air
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00Control inputs relating to users or occupants
    • F24F2120/10Occupancy

Abstract

The embodiment of the application discloses an intelligent air conditioner control method and a related device, wherein the method comprises the following steps: acquiring preset data through the sensor equipment; generating a control strategy aiming at the intelligent air conditioner according to the preset data; and regulating and controlling the intelligent air conditioner according to the control strategy. Therefore, the intelligent air conditioner can improve the intelligence and the accuracy of temperature control of the intelligent air conditioner, and protect the body health of a user.

Description

Intelligent air conditioner control method and related device
Technical Field
The application relates to the technical field of electronics, in particular to an intelligent air conditioner control method and a related device.
Background
With the progress of electronic technology, the living standard of people is continuously improved. The air-out mode of the air conditioner of the bedroom is generally fixed at present, or a user roughly adjusts the air conditioner through a remote controller based on the perception of a master pipe, the accuracy is insufficient, especially for the bedroom with infants, a head of a light air conditioner can not feel the air conditioner, but the infants are weak in physique, very sensitive and prone to catch a cold, and the like, so that the health of people is affected.
Disclosure of Invention
The embodiment of the application provides an intelligent air conditioner control method and a related device, which can improve the intelligence and the accuracy of temperature control of an intelligent air conditioner and protect the physical health of a user.
In a first aspect, an embodiment of the present application provides an intelligent air conditioner control method, which is applied to an intelligent air conditioner, where the intelligent air conditioner includes a sensor device; the method comprises the following steps:
acquiring preset data through the sensor equipment;
generating a control strategy aiming at the intelligent air conditioner according to the preset data;
and regulating and controlling the intelligent air conditioner according to the control strategy.
In a second aspect, an embodiment of the present application provides an intelligent air conditioner control device, which is applied to an intelligent air conditioner, where the intelligent air conditioner includes a sensor device; the intelligent air conditioner control device comprises a processing unit and a communication unit, wherein,
the processing unit is used for acquiring preset data through the sensor equipment; generating a control strategy aiming at the intelligent air conditioner according to the preset data; and regulating and controlling the intelligent air conditioner according to the control strategy.
In a third aspect, an embodiment of the present application provides a sensor device, including a controller, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the controller, and the program includes instructions for executing steps in any of the methods of the first aspect of the embodiment of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods of the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps as described in any one of the methods of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the application, the intelligent air conditioner firstly collects preset data through the sensor device, secondly generates a control strategy for the intelligent air conditioner according to the preset data, and finally regulates and controls the intelligent air conditioner according to the control strategy. Therefore, according to the embodiment of the application, the environment state in the space where the current intelligent air conditioner is located is further determined according to the sensor equipment through the collected various data, so that different control strategies in different states are obtained, the intelligence and the accuracy of temperature control of the intelligent air conditioner are improved, and the physical health of a user is effectively protected.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic diagram of an architecture for implementing an intelligent air conditioner control method according to an embodiment of the present application;
fig. 1B is a schematic structural diagram of a sensor device according to an embodiment of the present disclosure;
fig. 1C is a schematic product diagram of an intelligent air conditioner according to an embodiment of the present application;
fig. 2A is a schematic flowchart of an intelligent air conditioner control method according to an embodiment of the present application;
fig. 2B is a schematic view of a scenario provided by an embodiment of the present application;
fig. 3 is a schematic flowchart of another intelligent air conditioner control method according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a sensor device provided in an embodiment of the present application;
fig. 5 is a block diagram illustrating functional units of an intelligent air conditioner control device according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present application better understood, 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 a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The electronic devices involved in the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices (e.g., smart watches, smart bands, pedometers, etc.), computing devices or other processing devices connected to wireless modems, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as a terminal.
The following describes embodiments of the present application in detail.
In the traditional computer vision technology, information is acquired by a sensor and then is sent to a background for processing, a signal processing module is used for carrying out effect processing, and the information is transmitted to a computer vision module from the signal processing module for processing. Different from a mechanism that the conventional sensor collects data and sends the data to the backend device, the sensor device provided by the present application is a combination of a sensor and a computer vision module, as shown in fig. 1A, fig. 1A is a schematic diagram of an architecture for implementing an intelligent air conditioner control method provided by an embodiment of the present application. The sensor equipment can directly and locally perform data processing, namely the sensor equipment performs data acquisition and analysis processing to obtain a recognition result, and performs specific control based on the recognition result, and an internal algorithm of the sensor equipment can be updated and optimized through a platform.
The sensor equipment can acquire the information of a specific target through the information acquisition module, and the information acquired by the information acquisition module is transmitted to the sensor/computer vision module; the sensor/computer vision module may process the information and then perform a series of specific operations based on the processing results. In addition, the sensor device can also transmit the acquired original information or the information processed by the sensor/computer vision module to the background, and the background further processes the received data (effect processing).
Referring to fig. 1B, fig. 1B is a schematic structural diagram of a sensor device according to an embodiment of the present disclosure, where the sensor device includes an information acquisition module, a front-end processing module and a computer vision chip, and the front-end processing module includes at least one sensor unit, an analog signal processing circuit and an analog-to-digital conversion circuit; the computer vision chip includes a digital signal processor and at least one artificial intelligence processor.
The at least one sensor unit is connected with the analog signal processing circuit and used for receiving a measuring signal (namely, information acquired by the information acquisition module), converting the measuring signal into an electric signal and transmitting the electric signal to the analog signal processing circuit.
The analog signal processing circuit is connected with the analog-to-digital conversion circuit and used for processing the analog signal of the electric signal and transmitting the analog processing result to the analog-to-digital conversion circuit.
The analog-to-digital conversion circuit is used for converting the analog processing result into a digital signal and outputting the digital signal.
The digital signal processor is used for performing digital signal processing according to the electric signal generated by the front-end processing module and outputting a digital signal processing result.
The memory is used for storing the digital signal processing result and comprises a sharing area and n exclusive areas.
The shared area is used for storing various types of information (for different application scenarios, different information needs to be collected for control of different devices for specific processing) that need specific signal processing (for example, format conversion, effect processing). For example, taking image information as an example, the sensor device may include a pixel unit array (i.e., a signal acquisition module), an analog signal processing circuit, an analog-to-digital conversion circuit, a control circuit, an interface circuit, and the like. The external light irradiates the pixel unit array to generate a photoelectric effect, corresponding charges are generated in the pixel unit array, namely the image sensing unit acquires an optical signal, the optical signal is converted into an electric signal, the electric signal is subjected to analog signal processing, an analog processing result is converted into a digital signal under the control of the clock circuit, and the control circuit controls the digital signal to transmit the digital signal to a shared area of the memory through the interface circuit.
The exclusive area is used for storing specific information, and the specific information may include information of a specific target (for example, for different targets, when a specific device to be controlled is controlled, there is a specific differential control), and information of a specific type (for example, some collected information is special, and it is not necessary to perform front-end processing, and it can be used directly by an artificial intelligence processor). (in the specific application, the exclusive corresponding relation between the exclusive area and the artificial intelligence processor can be designed).
The artificial intelligence processor is used for acquiring specific information or digital signal processing results from the memory and executing corresponding artificial intelligence processing operation according to the specific information or digital signal processing results.
Referring to fig. 1C, fig. 1C is a schematic diagram of an intelligent air conditioner product according to an embodiment of the present application, which is applied to an intelligent air conditioner 100, where the intelligent air conditioner includes a sensor device 101.
The sensor device may include other sensors 102 and cameras 103, and the number is not limited.
The other sensors 102 and the camera 103 may be integrated together on the sensor device, or may exist independently, which is not limited herein.
Referring to fig. 2A, fig. 2A is a schematic flowchart of a control method of an intelligent air conditioner according to an embodiment of the present application, and the control method is applied to an intelligent air conditioner, where the intelligent air conditioner includes a sensor device; as shown in the figure, the intelligent air conditioner control method comprises the following steps:
step 201, the intelligent air conditioner collects preset data through the sensor device.
The preset data may include, but is not limited to, spectral data, which may be a spectral wavelength, a spectral frequency band, a spectral resolution, and the like, and is not limited herein.
Optionally, the intelligent air conditioner may be provided with various sensors, specifically, an infrared sensor, a sound sensor, a sensor device, a humidity sensor, and the like. The infrared sensor can detect food in the sensing range and generate sensing information. The infrared sensor can detect the infrared spectrum in the environment, and the intelligent air conditioner determines the number of people or the posture of the people in the current space according to the infrared spectrum, so that subsequent temperature adjustment is realized.
It should be noted that, the intelligent air conditioner can be installed with all the above sensors at the same time or with some sensors.
And 202, generating a control strategy for the intelligent air conditioner according to the preset data.
The control strategy may include a plurality of control parameters, and the control parameters may include, but are not limited to, wind speed, flap angle, wind direction, gear, and the like, which are not limited herein.
And 203, regulating and controlling the intelligent air conditioner according to the control strategy.
It can be seen that, in the embodiment of the application, the intelligent air conditioner firstly collects preset data through the sensor device, secondly generates a control strategy for the intelligent air conditioner according to the preset data, and finally regulates and controls the intelligent air conditioner according to the control strategy. Therefore, according to the embodiment of the application, the environment state in the space where the current intelligent air conditioner is located is further determined according to the sensor equipment through the collected various data, so that different control strategies in different states are obtained, the intelligence and the accuracy of temperature control of the intelligent air conditioner are improved, and the physical health of a user is effectively protected.
In one possible example, the analyzing, by the sensor device, the preset data to generate a control strategy for the smart air conditioner includes: analyzing the preset data through the sensor equipment to obtain the contour information of at least one person; determining, in the sensor device, age information and posture information of the at least one person from the contour information; querying a first preset database in the sensor equipment, and determining a target wind speed matched with the age information, wherein the first preset database comprises a mapping relation between the age information and the wind speed; analyzing the posture information through the sensor equipment to obtain a target wind direction; using the target wind direction and the target wind speed as control information in a control strategy by the sensor device.
If a spectrum sensor exists in the sensor device and spectrum data are acquired and analyzed, a variety of machine learning classification algorithms can be used for converting according to spectrum characteristics and appropriate characteristics, and the algorithms can include: k-nearest neighbors (K-NN), maximum likelihood classification, bayes, decision trees, Extreme Learning Machines (ELM), Support Vector Machines (SVM), sparse representation based (SRC), etc., without being limited thereto.
The mapping relationship may be one-to-one, one-to-many, or many-to-many, and is not limited herein.
For example, as shown in fig. 2B, fig. 2B is a schematic view of a scene, the intelligent air conditioner collects spectral data of a current person through a sensor device, and determines that the posture of the current person is lying on a bed with the front side facing upward and the age of the current person is twenty, and no covering objects such as a quilt are present on the body, and then adjusts the temperature of the current intelligent air conditioner to 27 degrees, the wind direction is 30 degrees horizontally facing upward, and the wind speed is three.
Therefore, in this example, the sensor device further obtains a spectrogram according to the analyzed and collected spectral information, and then can obtain specific information of the personnel in the current air conditioner according to the detailed spectrogram, and determine targeted control information according to the specific information, so that a single adjusting mode is avoided, and the temperature of the air conditioner is more intelligent.
In one possible example, the parsing the gesture information to obtain a target wind direction includes: acquiring image information of the posture information; analyzing the image information to obtain at least one image characteristic point; determining position information of the at least one image feature point; determining the position association degree of each characteristic point in the at least one image characteristic point according to the position information; determining the target height of each person for the intelligent air conditioner through the position association degree; and inquiring the target wind direction corresponding to the target height.
In the process of determining the target height of each person for the intelligent air conditioner through the position association degree, the higher the position association degree is, the more accurate the height is, and the more accurate the obtained target height is.
In the process of inquiring the target wind direction corresponding to the target height, different wind directions corresponding to a plurality of heights can be obtained through the acquisition and analysis of big data.
Therefore, in the example, the accurate height of the current target person is obtained by analyzing the posture information, and the wind direction is determined according to the accurate height, so that the situation that the physical examination of the user is not good due to the fact that the wind direction of a fixed mode is used in a plurality of persons is avoided, the intelligence and the accuracy of temperature control of the intelligent air conditioner are improved, and the physical health of the user is effectively protected.
In one possible example, the analyzing, by the sensor device, the preset data to generate a control strategy for the smart air conditioner includes: acquiring a current first indoor temperature through the sensor equipment, and analyzing the preset data to obtain a first human body temperature of at least one person; performing difference operation on the first indoor temperature and the first human body temperature through the sensor equipment to obtain a temperature difference value; and determining a first air conditioner temperature of the intelligent air conditioner in the sensor equipment according to the temperature difference.
If a plurality of body temperatures of a plurality of people exist, calculating the average value of a plurality of temperatures corresponding to the plurality of people to obtain the average air-conditioning temperature.
Optionally, the determining the first air conditioner temperature of the intelligent air conditioner according to the temperature difference includes: and querying a second preset database, and determining the first air conditioner temperature matched with the temperature difference, wherein the second preset database comprises a mapping relation between the temperature difference and the air conditioner temperature.
The mapping relationship may be one-to-one, one-to-many, or many-to-many. And are not intended to be limiting.
Therefore, in the example, the body temperature of each different person is obtained, different temperature adjustments are made according to different body temperatures, the current temperature of the air conditioner is guaranteed to be suitable for the human body, the intelligence and the accuracy of temperature control of the intelligent air conditioner are improved, and the physical health of a user is effectively protected.
In one possible example, after the determining the temperature of the smart air conditioner according to the temperature difference value, the method further includes: acquiring image information of the at least one person according to the sensor equipment; monitoring according to the image information to obtain the moving times; if the moving times exceed the preset times, acquiring a second indoor temperature and a second human body temperature again; and determining a second air conditioner temperature of the intelligent air conditioner according to the second indoor temperature and the second human body temperature.
The preset times can be one time, two times, three times and the like, can be determined by a manufacturer when the product leaves a factory or obtained by analyzing big data, and is not limited uniquely here.
Therefore, in the example, the moving times are collected according to the sensor equipment, the comfort level of the current user can be judged according to the moving times, the comfort level is higher, the moving times are fewer, the comfort level is lower, the moving times are higher, the intelligence and the accuracy of temperature control of the intelligent air conditioner are improved, and the body health of the user is effectively protected.
In one possible example, the associating the smart air conditioner with a smart home system, the regulating and controlling the smart air conditioner according to the control policy includes: receiving a starting instruction from the intelligent home system, wherein the starting instruction is generated when the intelligent home system detects that a target person enters a preset area; and starting the intelligent air conditioner according to a control strategy according to the starting instruction.
The preset area can be an area covered by the intelligent home system or obtained according to a frequent track of people, and is not limited uniquely here.
For example, when the user a walks to the doorway, the user a is obtained to be present through the intelligent door lock, and a starting instruction is sent to the intelligent air conditioner through the intelligent home system, and the intelligent air conditioner can obtain that the wind speed of the current air conditioner starting is a middle gear and the wind direction is upward by 15 degrees according to the information of the user a uploaded in the intelligent home system.
Therefore, in the example, the intelligent air conditioner is connected with the intelligent home system, the air conditioner can be controlled to be started and closed more conveniently, the intelligence and the accuracy of temperature control of the intelligent air conditioner can be improved, and the physical health of a user can be effectively protected.
Referring to fig. 3, fig. 3 is a schematic flowchart of a control method of an intelligent air conditioner according to an embodiment of the present application, and the control method is applied to an intelligent air conditioner, where the intelligent air conditioner includes a sensor device; as shown in the figure, the intelligent air conditioner control method comprises the following steps:
step 301, the intelligent air conditioner collects preset data through the sensor device.
Step 302, analyzing the preset data through the sensor device to obtain the contour information of at least one person.
Step 303, determining in the sensor device age information and posture information of the at least one person from the contour information.
Step 304, querying a first preset database in the sensor device, and determining a target wind speed matched with the age information, wherein the first preset database comprises a mapping relation between the age information and the wind speed.
Step 305, analyzing the posture information through the sensor device to obtain a target wind direction.
Step 306, using the target wind direction and the target wind speed as control information in a control strategy through the sensor device.
And 307, regulating and controlling the intelligent air conditioner according to the control strategy.
It can be seen that, in the embodiment of the application, the intelligent air conditioner firstly collects preset data through the sensor device, secondly generates a control strategy for the intelligent air conditioner according to the preset data, and finally regulates and controls the intelligent air conditioner according to the control strategy. Therefore, according to the embodiment of the application, the environment state in the space where the current intelligent air conditioner is located is further determined according to the sensor equipment through the collected various data, so that different control strategies in different states are obtained, the intelligence and the accuracy of temperature control of the intelligent air conditioner are improved, and the physical health of a user is effectively protected.
In addition, the sensor equipment further obtains a spectrogram according to the analyzed and collected spectral information, further can obtain specific information of personnel in the current air conditioner according to the detailed spectrogram, determines targeted control information according to the specific information, avoids a single adjusting mode, and enables the air conditioner to adjust the temperature more intelligently.
Consistent with the embodiments shown in fig. 2A and fig. 3, please refer to fig. 4, fig. 4 is a schematic structural diagram of a sensor device 400 provided in an embodiment of the present application, where the sensor device 400 includes an application processor 410, a memory 420, a communication interface 430, and one or more programs 421, where the one or more programs 421 are stored in the memory 420 and configured to be executed by the application processor 410, and the one or more programs 421 include instructions for performing the following steps:
acquiring preset data through the sensor equipment;
generating a control strategy aiming at the intelligent air conditioner according to the preset data;
and regulating and controlling the intelligent air conditioner according to the control strategy.
It can be seen that, in the embodiment of the application, the intelligent air conditioner firstly collects preset data through the sensor device, secondly generates a control strategy for the intelligent air conditioner according to the preset data, and finally regulates and controls the intelligent air conditioner according to the control strategy. Therefore, according to the embodiment of the application, the environment state in the space where the current intelligent air conditioner is located is further determined according to the sensor equipment through the collected various data, so that different control strategies in different states are obtained, the intelligence and the accuracy of temperature control of the intelligent air conditioner are improved, and the physical health of a user is effectively protected.
In one possible example, in terms of the analyzing, by the sensor device, the preset data to generate the control strategy for the smart air conditioner, the instructions in the program are specifically configured to: analyzing the preset data through the sensor equipment to obtain the contour information of at least one person; determining, in the sensor device, age information and posture information of the at least one person from the contour information; querying a first preset database in the sensor equipment, and determining a target wind speed matched with the age information, wherein the first preset database comprises a mapping relation between the age information and the wind speed; analyzing the posture information through the sensor equipment to obtain a target wind direction; using the target wind direction and the target wind speed as control information in a control strategy by the sensor device.
In one possible example, in terms of analyzing the posture information to obtain the target wind direction, the instructions in the program are specifically further configured to: acquiring image information of the posture information; analyzing the image information to obtain at least one image characteristic point; determining position information of the at least one image feature point; determining the position association degree of each characteristic point in the at least one image characteristic point according to the position information; determining the target height of each person for the intelligent air conditioner through the position association degree; and inquiring the target wind direction corresponding to the target height.
In one possible example, in terms of the analyzing, by the sensor device, the preset data to generate the control strategy for the smart air conditioner, the instructions in the program are specifically configured to: acquiring a current first indoor temperature through the sensor equipment, and analyzing the preset data to obtain a first human body temperature of at least one person; performing difference operation on the first indoor temperature and the first human body temperature through the sensor equipment to obtain a temperature difference value; and determining a first air conditioner temperature of the intelligent air conditioner in the sensor equipment according to the temperature difference.
In one possible example, in the aspect of determining the first air conditioner temperature of the smart air conditioner according to the temperature difference value, the instructions in the program are specifically configured to: and querying a second preset database, and determining the first air conditioner temperature matched with the temperature difference, wherein the second preset database comprises a mapping relation between the temperature difference and the air conditioner temperature.
In one possible example, the instructions in the program are specifically configured to, in terms of after the determining the temperature of the smart air conditioner according to the temperature difference value, perform the following operations: acquiring image information of the at least one person according to the sensor equipment; monitoring according to the image information to obtain the moving times; if the moving times exceed the preset times, acquiring a second indoor temperature and a second human body temperature again; and determining a second air conditioner temperature of the intelligent air conditioner according to the second indoor temperature and the second human body temperature.
In a possible example, in the intelligent home system associated with the intelligent air conditioner, in terms of regulating and controlling the intelligent air conditioner according to the control policy, the instructions in the program are specifically configured to perform the following operations: receiving a starting instruction from the intelligent home system, wherein the starting instruction is generated when the intelligent home system detects that a target person enters a preset area; and starting the intelligent air conditioner according to a control strategy according to the starting instruction.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It will be appreciated that the sensor device, in order to perform the above-described functions, comprises corresponding hardware structures and/or software modules for performing the respective functions. Those of skill in the art would readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the sensor device may be divided into the functional units according to the above method examples, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one control unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 5 is a block diagram showing functional units of the intelligent air conditioner control device 500 according to the embodiment of the present application. The intelligent air conditioner control device 500 is applied to an intelligent air conditioner, and the intelligent air conditioner comprises sensor equipment; the intelligent air conditioner control device 500 includes a processing unit 501 and a communication unit 502, wherein:
the processing unit 501 is configured to acquire preset data through the sensor device; generating a control strategy aiming at the intelligent air conditioner according to the preset data; and regulating and controlling the intelligent air conditioner according to the control strategy.
The intelligent air conditioner control device 500 may further include a communication unit 502 and a storage unit 503, where the storage unit 503 is configured to store program codes and data of the electronic device. The processing unit 501 may be a processor, the communication unit 502 may be a touch display screen or a transceiver, and the storage unit 503 may be a memory.
It can be seen that, in the embodiment of the application, the intelligent air conditioner firstly collects preset data through the sensor device, secondly generates a control strategy for the intelligent air conditioner according to the preset data, and finally regulates and controls the intelligent air conditioner according to the control strategy. Therefore, according to the embodiment of the application, the environment state in the space where the current intelligent air conditioner is located is further determined according to the sensor equipment through the collected various data, so that different control strategies in different states are obtained, the intelligence and the accuracy of temperature control of the intelligent air conditioner are improved, and the physical health of a user is effectively protected.
In one possible example, in terms of analyzing the preset data by the sensor device to generate the control strategy for the smart air conditioner, the processing unit 501 is specifically configured to: analyzing the preset data through the sensor equipment to obtain the contour information of at least one person; determining, in the sensor device, age information and posture information of the at least one person from the contour information; querying a first preset database in the sensor equipment, and determining a target wind speed matched with the age information, wherein the first preset database comprises a mapping relation between the age information and the wind speed; analyzing the posture information through the sensor equipment to obtain a target wind direction; using the target wind direction and the target wind speed as control information in a control strategy by the sensor device.
In a possible example, in terms of analyzing the posture information to obtain a target wind direction, the processing unit 501 is specifically configured to: acquiring image information of the posture information; analyzing the image information to obtain at least one image characteristic point; determining position information of the at least one image feature point; determining the position association degree of each characteristic point in the at least one image characteristic point according to the position information; determining the target height of each person for the intelligent air conditioner through the position association degree; and inquiring the target wind direction corresponding to the target height.
In one possible example, in terms of analyzing the preset data by the sensor device to generate the control strategy for the smart air conditioner, the processing unit 501 is specifically configured to: acquiring a current first indoor temperature through the sensor equipment, and analyzing the preset data to obtain a first human body temperature of at least one person; performing difference operation on the first indoor temperature and the first human body temperature through the sensor equipment to obtain a temperature difference value; and determining a first air conditioner temperature of the intelligent air conditioner in the sensor equipment according to the temperature difference.
In one possible example, in the aspect of determining the first air conditioner temperature of the intelligent air conditioner according to the temperature difference, the processing unit 501 is specifically configured to: and querying a second preset database, and determining the first air conditioner temperature matched with the temperature difference, wherein the second preset database comprises a mapping relation between the temperature difference and the air conditioner temperature.
In a possible example, after determining the temperature of the smart air conditioner according to the temperature difference, the processing unit 501 is specifically configured to: acquiring image information of the at least one person according to the sensor equipment; monitoring according to the image information to obtain the moving times; if the moving times exceed the preset times, acquiring a second indoor temperature and a second human body temperature again; and determining a second air conditioner temperature of the intelligent air conditioner according to the second indoor temperature and the second human body temperature.
In a possible example, in the aspect of the intelligent air conditioner related to the intelligent home system, in the aspect of regulating and controlling the intelligent air conditioner according to the control policy, the processing unit 501 is specifically configured to: receiving a starting instruction from the intelligent home system, wherein the starting instruction is generated when the intelligent home system detects that a target person enters a preset area; and starting the intelligent air conditioner according to a control strategy according to the starting instruction.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes a mobile terminal.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising a mobile terminal.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
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 units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated into one control unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several 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 above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (10)

1. The intelligent air conditioner control method is characterized by being applied to an intelligent air conditioner, wherein the intelligent air conditioner comprises sensor equipment; the method comprises the following steps:
acquiring preset data through the sensor equipment;
analyzing the preset data through the sensor equipment to generate a control strategy for the intelligent air conditioner;
and regulating and controlling the intelligent air conditioner according to the control strategy.
2. The method of claim 1, wherein analyzing the preset data by the sensor device to generate a control strategy for the smart air conditioner comprises:
analyzing the preset data through the sensor equipment to obtain the contour information of at least one person;
determining, in the sensor device, age information and posture information of the at least one person from the contour information;
querying a first preset database in the sensor equipment, and determining a target wind speed matched with the age information, wherein the first preset database comprises a mapping relation between the age information and the wind speed;
analyzing the posture information through the sensor equipment to obtain a target wind direction;
using the target wind direction and the target wind speed as control information in a control strategy by the sensor device.
3. The method of claim 2, wherein the parsing the posture information to obtain a target wind direction comprises:
acquiring image information of the posture information;
analyzing the image information to obtain at least one image characteristic point;
determining position information of the at least one image feature point;
determining the position association degree of each characteristic point in the at least one image characteristic point according to the position information;
determining the target height of each person for the intelligent air conditioner through the position association degree;
and inquiring the target wind direction corresponding to the target height.
4. The method of claim 1, wherein analyzing the preset data by the sensor device to generate a control strategy for the smart air conditioner comprises:
acquiring a current first indoor temperature through the sensor equipment, and analyzing the preset data to obtain a first human body temperature of at least one person;
performing difference operation on the first indoor temperature and the first human body temperature through the sensor equipment to obtain a temperature difference value;
and determining a first air conditioner temperature of the intelligent air conditioner in the sensor equipment according to the temperature difference.
5. The method of claim 4, wherein the determining the first air-conditioning temperature of the smart air conditioner according to the temperature difference comprises:
and querying a second preset database, and determining the first air conditioner temperature matched with the temperature difference, wherein the second preset database comprises a mapping relation between the temperature difference and the air conditioner temperature.
6. The method of claim 4, wherein after the determining the temperature of the smart air conditioner according to the temperature difference value, the method further comprises:
acquiring image information of the at least one person according to the sensor equipment;
monitoring according to the image information to obtain the moving times;
if the moving times exceed the preset times, acquiring a second indoor temperature and a second human body temperature again;
and determining a second air conditioner temperature of the intelligent air conditioner according to the second indoor temperature and the second human body temperature.
7. The method according to claim 1, wherein the intelligent air conditioner is associated with an intelligent home system, and the regulating and controlling the intelligent air conditioner according to the control strategy comprises:
receiving a starting instruction from the intelligent home system, wherein the starting instruction is generated when the intelligent home system detects that a target person enters a preset area;
and starting the intelligent air conditioner according to a control strategy according to the starting instruction.
8. The intelligent air conditioner control device is applied to an intelligent air conditioner, and the intelligent air conditioner comprises sensor equipment; the intelligent air conditioner control device comprises a processing unit and a communication unit, wherein,
the processing unit is used for acquiring preset data through the sensor equipment; generating a control strategy aiming at the intelligent air conditioner according to the preset data; and regulating and controlling the intelligent air conditioner according to the control strategy.
9. A sensor device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.
CN202010076786.0A 2020-01-23 2020-01-23 Intelligent air conditioner control method and related device Pending CN111271838A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114061092A (en) * 2021-11-12 2022-02-18 珠海大横琴科技发展有限公司 Control method and device of temperature adjusting equipment
WO2022206266A1 (en) * 2021-03-29 2022-10-06 青岛海尔空调器有限总公司 Air supply control method and apparatus for air conditioner, and air conditioner
CN116389183A (en) * 2023-06-07 2023-07-04 深圳市华翌科技有限公司 Intelligent home interaction data processing method based on Internet of things

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101504169A (en) * 2008-02-05 2009-08-12 Lg电子株式会社 Air conditioner and its control method
CN103900207A (en) * 2014-03-25 2014-07-02 四川长虹电器股份有限公司 Instruction execution method and air conditioner
CN105588300A (en) * 2015-11-03 2016-05-18 海信(山东)空调有限公司 Control method for intelligent air conditioner and intelligent air conditioner
CN105650804A (en) * 2015-11-23 2016-06-08 惠州学院 Intelligent air conditioner based on infrared body induction and control method
CN206131153U (en) * 2016-08-25 2017-04-26 深圳沃海森科技有限公司 Carry on interior machine of air conditioning of camera
CN106704238A (en) * 2016-12-26 2017-05-24 广东美的环境电器制造有限公司 Fan control method and device, and fan
CN107367016A (en) * 2017-06-21 2017-11-21 珠海格力电器股份有限公司 A kind of air conditioner intelligent control method and its device, air-conditioning
CN107576022A (en) * 2017-09-12 2018-01-12 广东美的制冷设备有限公司 Control method, air conditioner and the storage medium of air conditioner
CN107816781A (en) * 2017-10-31 2018-03-20 珠海格力电器股份有限公司 The control method and device of air-conditioning
CN108180606A (en) * 2017-11-28 2018-06-19 珠海格力电器股份有限公司 Control method, device, storage medium and the processor of air-conditioning
CN109886101A (en) * 2018-12-29 2019-06-14 江苏云天励飞技术有限公司 Posture identification method and relevant apparatus
JP2019105387A (en) * 2017-12-11 2019-06-27 株式会社東芝 Air conditioning control device, air conditioning control method and computer program

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101504169A (en) * 2008-02-05 2009-08-12 Lg电子株式会社 Air conditioner and its control method
CN103900207A (en) * 2014-03-25 2014-07-02 四川长虹电器股份有限公司 Instruction execution method and air conditioner
CN105588300A (en) * 2015-11-03 2016-05-18 海信(山东)空调有限公司 Control method for intelligent air conditioner and intelligent air conditioner
CN105650804A (en) * 2015-11-23 2016-06-08 惠州学院 Intelligent air conditioner based on infrared body induction and control method
CN206131153U (en) * 2016-08-25 2017-04-26 深圳沃海森科技有限公司 Carry on interior machine of air conditioning of camera
CN106704238A (en) * 2016-12-26 2017-05-24 广东美的环境电器制造有限公司 Fan control method and device, and fan
CN107367016A (en) * 2017-06-21 2017-11-21 珠海格力电器股份有限公司 A kind of air conditioner intelligent control method and its device, air-conditioning
CN107576022A (en) * 2017-09-12 2018-01-12 广东美的制冷设备有限公司 Control method, air conditioner and the storage medium of air conditioner
CN107816781A (en) * 2017-10-31 2018-03-20 珠海格力电器股份有限公司 The control method and device of air-conditioning
CN108180606A (en) * 2017-11-28 2018-06-19 珠海格力电器股份有限公司 Control method, device, storage medium and the processor of air-conditioning
JP2019105387A (en) * 2017-12-11 2019-06-27 株式会社東芝 Air conditioning control device, air conditioning control method and computer program
CN109886101A (en) * 2018-12-29 2019-06-14 江苏云天励飞技术有限公司 Posture identification method and relevant apparatus

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
郝琳、詹跃明等: "《传感器与应用技术》", 31 July 2017 *
雷航、王茜编著: "《现代微处理器及总线设计》", 30 April 2006 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022206266A1 (en) * 2021-03-29 2022-10-06 青岛海尔空调器有限总公司 Air supply control method and apparatus for air conditioner, and air conditioner
CN114061092A (en) * 2021-11-12 2022-02-18 珠海大横琴科技发展有限公司 Control method and device of temperature adjusting equipment
CN114061092B (en) * 2021-11-12 2023-09-08 珠海大横琴科技发展有限公司 Control method and device of temperature regulating equipment
CN116389183A (en) * 2023-06-07 2023-07-04 深圳市华翌科技有限公司 Intelligent home interaction data processing method based on Internet of things
CN116389183B (en) * 2023-06-07 2023-08-29 深圳市华翌科技有限公司 Intelligent home interaction data processing method based on Internet of things

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Application publication date: 20200612