CN114198878B - Air quality adjusting method and intelligent equipment - Google Patents

Air quality adjusting method and intelligent equipment Download PDF

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Publication number
CN114198878B
CN114198878B CN202010980476.1A CN202010980476A CN114198878B CN 114198878 B CN114198878 B CN 114198878B CN 202010980476 A CN202010980476 A CN 202010980476A CN 114198878 B CN114198878 B CN 114198878B
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Prior art keywords
intelligent
function
equipment
preset
intelligent equipment
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CN114198878A (en
Inventor
胡雁
王昕�
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Hisense Group Holding Co Ltd
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Qingdao Hisense Electronic Industry Holdings Co Ltd
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Priority to CN202010980476.1A priority Critical patent/CN114198878B/en
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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F24F11/58—Remote control using Internet communication
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/88—Electrical aspects, e.g. circuits
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2642—Domotique, domestic, home control, automation, smart house
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Abstract

The disclosure provides an air quality adjusting method and intelligent equipment. Comprising the following steps: determining equipment attributes according to equipment types of the intelligent equipment, and if the equipment attributes are determined to support a main control function, establishing a first corresponding relation between each callback function and each preset acquisition function; responding to the triggering operation of any preset acquisition function, and if the intelligent equipment supports the preset acquisition function, determining to call a callback function corresponding to the preset acquisition function to acquire data according to a first corresponding relation; if the intelligent equipment does not support the preset acquisition function, acquiring data through other intelligent equipment supporting the preset acquisition function; and sending a control instruction to the intelligent equipment with the air conditioning function based on the acquired data, so that the intelligent equipment can adjust the air quality according to the control instruction. Therefore, any intelligent device with the main control function can be used as a main control center to adjust the air quality, so that the air quality adjusting efficiency is improved, and the mode is more convenient.

Description

Air quality adjusting method and intelligent equipment
Technical Field
The disclosure relates to the technical field of intelligent equipment, and in particular relates to an air quality adjusting method and intelligent equipment.
Background
Comfortable and good air quality is very important for the health and productivity of the resident, but with the increase of intelligent household equipment in the family, the indoor air quality is influenced, so that the indoor air quality needs to be monitored and regulated.
In the prior art, intelligent equipment such as a mobile phone is used as a main control center of each intelligent house to adjust air quality. For example, intelligent devices such as air conditioners or fans are regulated by mobile phones. However, if the mobile phone is turned off or the mobile phone is not used, the air quality cannot be adjusted. Therefore, the air quality adjustment efficiency is low and inconvenient.
Disclosure of Invention
The disclosure provides an air quality adjusting method and intelligent equipment, which are used for improving the air quality adjusting efficiency and solving the problem that the air quality adjusting mode in the prior art is not convenient.
In a first aspect, the present disclosure provides a smart device comprising a memory and a processor;
the memory is configured to store a first corresponding relation, wherein the first corresponding relation is a corresponding relation between each callback function in the intelligent equipment and a preset acquisition function;
The processor is configured to:
determining equipment attributes of the intelligent equipment according to the equipment types of the intelligent equipment, wherein the equipment attributes comprise a supporting main control function and a non-supporting main control function;
if the equipment attribute of the intelligent equipment is determined to be the supporting main control function, establishing a first corresponding relation between each callback function in the intelligent equipment and each preset acquisition function;
responding to the triggering operation of any preset acquisition function, if the intelligent equipment supports the preset acquisition function, determining a callback function corresponding to the preset acquisition function according to the first corresponding relation, and calling the determined callback function to acquire data; if the intelligent equipment does not support the preset acquisition function, acquiring data through other intelligent equipment supporting the preset acquisition function;
and sending a control instruction to the intelligent equipment with the air conditioning function based on the acquired data, so that the intelligent equipment can adjust the air quality according to the control instruction.
The embodiment determines the equipment attribute of the intelligent equipment through the equipment type of any intelligent equipment. If the equipment attribute of the intelligent equipment is determined to support the main control function, a corresponding relation between each callback function in the intelligent equipment and a preset acquisition function is established so that any preset acquisition function is triggered, the intelligent equipment can correspondingly acquire data for the triggering operation, and a control instruction is sent to other intelligent equipment based on the acquired data to adjust air quality. Therefore, any intelligent device with a main control function in the present disclosure can be used as a main control center to adjust the air quality, and is not limited to one intelligent device, so that the efficiency of air quality adjustment is improved, and the mode is more convenient.
In some exemplary embodiments, when executing the step of acquiring data by other intelligent devices supporting the preset acquisition function if the intelligent device does not support the preset acquisition function, the processor is specifically configured to:
inquiring a first networking state of other intelligent devices supporting the preset acquisition function; the first networking state includes online and offline;
and sending a control instruction to at least one intelligent device in other intelligent devices with online first networking states, and receiving data acquired by the intelligent devices.
In this embodiment, when the intelligent device serving as the master control center does not support the preset acquisition function, only a control instruction is required to be sent to other online intelligent devices supporting the preset acquisition function, namely, data acquisition is performed through other intelligent devices, so that the air quality adjustment mode in the present disclosure is more intelligent and convenient.
In some exemplary embodiments, the processor, when executing the sending of the control instruction to at least one of the other intelligent devices that are online in the networking state, is specifically configured to:
if the second networking state of the intelligent equipment is that the local area network is online, the control instruction is sent to at least one intelligent equipment in other intelligent equipment with the online first networking state through the local area network; or (b)
And if the second networking state of the intelligent device is that the wide area network is online, sending the control instruction to at least one intelligent device in other intelligent devices with the online first networking state through a cloud platform.
The method determines the mode of the intelligent device for sending the control instruction through the second networking state of the intelligent device serving as the main control center, so that the control instruction can be normally sent.
In some exemplary embodiments, the processor, when executing the control instruction sent by the collected data to the intelligent device with air conditioning function, so that the intelligent device adjusts the indoor air quality according to the control instruction, is specifically configured to:
determining target parameters of each intelligent device with an air conditioning function according to the collected data;
and respectively sending control instructions to all intelligent devices which are online in the first networking state and have an air conditioning function based on the target parameters, so that all the intelligent devices can adjust the parameters of all the intelligent devices to the target parameters according to the received control instructions.
According to the embodiment, the determined target parameters are used for respectively sending the control instructions to the intelligent devices with the air conditioning function, so that the air quality of the intelligent devices is adjusted, and the air conditioning is more convenient and intelligent.
In some exemplary embodiments, the processor, when executing the determining, according to the collected data, target parameters of each smart device having an air conditioning function, is specifically configured to:
comparing the acquired data with a preset range;
and if the acquired data is not in the preset range, inputting the acquired data into a preset algorithm model, and determining target parameters of each intelligent device with an air conditioning function by using the algorithm model.
In this embodiment, when it is determined that the collected data is no longer within the preset range, according to the preset corresponding relationship, the target parameters of each intelligent device are determined to adjust the air quality.
In some exemplary embodiments, the preset functions further include preset interaction functions;
the memory is further configured to store a second corresponding relation, where the second corresponding relation is a corresponding relation between each callback function in the intelligent device and each preset interaction function;
the processor, after executing the determining that the device attribute of the smart device is the support master function, is further configured to:
establishing the second corresponding relation between each callback function in the intelligent equipment and each preset interaction function;
Responding to the triggering operation of any preset interaction function, if the intelligent equipment supports the preset interaction function, determining a callback function corresponding to the preset interaction function according to the second corresponding relation, and calling the determined callback function to judge whether to trigger the operation aiming at a preset acquisition function;
if yes, executing the step of responding to the triggering operation of any preset acquisition function.
According to the embodiment, the preset collection function can be triggered through the preset interaction function, so that air data can be collected according to the requirements of a user.
In a second aspect, an embodiment of the present disclosure provides a method for adjusting air quality, applied to an intelligent device, where the method includes:
determining equipment attributes of the intelligent equipment according to the equipment types of the intelligent equipment, wherein the equipment attributes comprise a supporting main control function and a non-supporting main control function;
if the equipment attribute of the intelligent equipment is determined to be the supporting main control function, establishing a first corresponding relation between each callback function in the intelligent equipment and each preset acquisition function;
responding to the triggering operation of any preset acquisition function, if the intelligent equipment supports the preset acquisition function, determining a callback function corresponding to the preset acquisition function according to the first corresponding relation, and calling the determined callback function to acquire data; if the intelligent equipment does not support the preset acquisition function, acquiring data through other intelligent equipment supporting the preset acquisition function;
And sending a control instruction to the intelligent equipment with the air conditioning function based on the acquired data, so that the intelligent equipment can adjust the air quality according to the control instruction.
In some exemplary embodiments, if the smart device does not support the preset collection function, collecting data by other smart devices supporting the preset collection function includes:
inquiring a first networking state of other intelligent devices supporting the preset acquisition function; the first networking state includes online and offline;
and sending a control instruction to at least one intelligent device in other intelligent devices with online first networking states, and receiving data acquired by the intelligent devices.
In some exemplary embodiments, the sending the control instruction to at least one of the other intelligent devices whose networking status is online includes:
if the second networking state of the intelligent equipment is that the local area network is online, the control instruction is sent to at least one intelligent equipment in other intelligent equipment with the online first networking state through the local area network; or (b)
And if the second networking state of the intelligent device is that the wide area network is online, sending the control instruction to at least one intelligent device in other intelligent devices with the online first networking state through a cloud platform.
In some exemplary embodiments, the sending, based on the collected data, a control command to the intelligent device with an air conditioning function, so that the intelligent device adjusts the indoor air quality according to the control command, including:
determining target parameters of each intelligent device with an air conditioning function according to the collected data;
and respectively sending control instructions to all intelligent devices which are online in the first networking state and have an air conditioning function based on the target parameters, so that all the intelligent devices can adjust the parameters of all the intelligent devices to the target parameters according to the received control instructions.
In some exemplary embodiments, the determining the target parameter of each intelligent device with the air conditioning function according to the collected data includes:
comparing the acquired data with a preset range;
and if the acquired data is not in the preset range, inputting the acquired data into a preset algorithm model, and determining target parameters of each intelligent device with an air conditioning function by using the algorithm model.
In some exemplary embodiments, the preset functions further include preset interaction functions;
After determining that the device attribute of the intelligent device is the support master control function, the method further includes:
establishing a second corresponding relation between each callback function in the intelligent equipment and each preset interaction function;
responding to the triggering operation of any preset interaction function, if the intelligent equipment supports the preset interaction function, determining a callback function corresponding to the preset interaction function according to the second corresponding relation, and calling the determined callback function to judge whether to trigger the operation aiming at a preset acquisition function;
if yes, executing the step of responding to the triggering operation of any preset acquisition function.
The advantages of the second aspect and the embodiments of the second aspect may be referred to the advantages of the first aspect and the embodiments of the first aspect, and will not be described here again.
In a third aspect, embodiments of the present disclosure provide a computer device comprising a program or instructions which, when executed, are configured to perform the methods of the above second aspect and respective embodiments of the second aspect.
In a fourth aspect, embodiments of the present disclosure provide a storage medium including a program or instructions, which when executed, are configured to perform the methods of the second aspect and the respective embodiments of the second aspect described above.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
FIG. 1 is one of the schematic structural diagrams of a smart device in one embodiment according to the present disclosure;
FIG. 2A is one of the applicable scene schematics in one embodiment according to the present disclosure;
FIG. 2B is a second view of an applicable scenario in accordance with one embodiment of the present disclosure;
FIG. 3 is one of the flow diagrams of the air quality adjustment method in one embodiment according to the present disclosure;
FIG. 4 is a second flow chart of a method of regulating air quality according to one embodiment of the present disclosure;
FIG. 5A is a third view of an application scenario according to one embodiment of the present disclosure;
FIG. 5B is a fourth application scenario diagram according to one embodiment of the present disclosure;
FIG. 6 is a third flow chart of a method of regulating air quality according to one embodiment of the present disclosure;
fig. 7 is a second schematic diagram of a smart device according to an embodiment of the disclosure.
Detailed Description
In order to better understand the above technical solutions, the following detailed description will be made with reference to the accompanying drawings and specific embodiments, and it should be understood that specific features in the embodiments and examples of the disclosure are detailed descriptions of the technical solutions of the disclosure, and not limit the technical solutions of the disclosure, and the technical features in the embodiments and examples of the disclosure may be combined with each other without conflict.
The smart device involved in the embodiments of the present disclosure may be a mobile phone, a tablet (e.g., iPad), an air conditioner, a refrigerator, a television, an oven, etc. The structure of the smart device will be first described below.
As shown in fig. 1, fig. 1 is a schematic structural diagram of an intelligent device according to an embodiment of the disclosure. As shown in fig. 1, the smart device in the embodiment of the present disclosure includes: radio Frequency (RF) circuit 110, power supply 120, processor 130, memory 140, input unit 150, display unit 160, camera 170, communication interface 180, and wireless fidelity (Wireless Fidelity, wiFi) module 190.
It will be appreciated by those skilled in the art that the configuration of the smart device shown in fig. 1 does not constitute a limitation of the smart device, and that the smart device provided by the embodiments of the present disclosure may include more or less components than illustrated, or may combine certain components, or may be arranged in different components.
The following describes the respective constituent elements of the smart device 100 in detail with reference to fig. 1:
the RF circuitry 110 may be used for receiving and transmitting data during a communication or session. Specifically, the RF circuit 110 receives downlink data of the base station and sends the downlink data to the processor 130 for processing; in addition, uplink data to be transmitted is transmitted to the base station. Typically, the RF circuitry 110 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (Low Noise Amplifier, LNA), a duplexer, and the like.
In addition, the RF circuit 110 may also communicate with networks and other terminals through wireless communication. The wireless communication may use any communication standard or protocol including, but not limited to, global system for mobile communications (Global System of Mobile communication, GSM), general packet radio service (General Packet Radio Service, GPRS), code division multiple access (Code Division Multiple Access, CDMA), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA), long term evolution (Long Term Evolution, LTE), email, short message service (Short Messaging Service, SMS), and the like.
The WiFi technology belongs to a short-distance wireless transmission technology, and the smart device 100 can connect to an Access Point (AP) through the WiFi module 190, so as to achieve Access to a data network. The WiFi module 190 may be used for receiving and transmitting data during communication.
The smart device 100 may be physically connected to other terminals through the communication interface 180. Optionally, the communication interface 180 is connected with the communication interfaces of the other terminals through a cable, so as to realize data transmission between the intelligent device 100 and the other terminals.
The smart device 100 is capable of implementing communication services, and the smart device 100 needs to have a data transmission function, that is, a communication module needs to be included in the smart device 100. Although fig. 1 shows the RF circuit 110, the WiFi module 190, and the communication interface 180, it is understood that at least one of the above components or other communication modules (such as a bluetooth module) for implementing communication exist in the smart device 100 for data transmission.
For example, when the smart device 100 is a mobile phone, the smart device 100 may include the RF circuit 110 and may further include the WiFi module 190; when the smart device 100 is a computer, the smart device 100 may include the communication interface 180 and may further include the WiFi module 190; when the smart device 100 is a tablet computer, the smart device 100 may include the WiFi module.
The memory 140 may be used to store software programs and modules. The processor 130 executes various functional applications and data processing of the smart device 100 by running software programs and modules stored in the memory 140, and when the processor 130 executes the program code in the memory 140, some or all of the processes of fig. 1 of the disclosed embodiments may be implemented.
Alternatively, the memory 140 may mainly include a storage program area and a storage data area. The storage program area may store an operating system, various application programs (such as a communication application), various modules for performing WLAN connection, and the like; the storage data area may store data created according to the use of the terminal, etc.
In addition, the memory 140 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
The input unit 150 may be used to receive numeric or character information input by a user and to generate key signal inputs related to user settings and function controls of the smart device 100.
Alternatively, the input unit 150 may include a touch panel 151 and other input terminals 152.
The touch panel 151, also referred to as a touch screen, may collect touch operations thereon or thereabout (such as operations of a user using any suitable object or accessory such as a finger, a stylus, etc. on the touch panel 151 or thereabout) and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 151 may include two parts, a touch detecting device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, and sends the touch point coordinates to the processor 130, and can receive and execute commands sent from the processor 130. Further, the touch panel 151 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave.
Alternatively, the other input terminals 152 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, mouse, joystick, etc.
The display unit 160 may be used to display information input by a user or information provided to the user and various menus of the smart device 100. The display unit 160 is a display system of the smart device 100, and is configured to present an interface to implement man-machine interaction.
The display unit 160 may include a display panel 161. Alternatively, the display panel 161 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an Organic Light-Emitting Diode (OLED), or the like.
Further, the touch panel 151 may cover the display panel 161, and when the touch panel 151 detects a touch operation thereon or thereabout, the touch panel is transmitted to the processor 130 to determine a type of touch event, and then the processor 130 provides a corresponding visual output on the display panel 161 according to the type of touch event.
Although in fig. 1, the touch panel 151 and the display panel 161 are two independent components to implement the input and output functions of the smart device 100, in some embodiments, the touch panel 151 and the display panel 161 may be integrated to implement the input and output functions of the smart device 100.
The processor 130 is a control center of the smart device 100, connects various components using various interfaces and lines, and performs various functions and processes data of the smart device 100 by running or executing software programs and/or modules stored in the memory 140 and calling data stored in the memory 140, thereby implementing various services based on the smart device.
Optionally, the processor 130 may include one or more processing units. Alternatively, the processor 130 may integrate an application processor and a modem processor, wherein the application processor primarily processes operating systems, user interfaces, applications, etc., and the modem processor primarily processes wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 130.
The camera 170 is configured to implement a shooting function of the smart device 100, and shoot pictures or videos.
The smart device 100 also includes a power source 120 (such as a battery) for powering the various components. Optionally, the power source 120 may be logically connected to the processor 130 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system.
Although not shown, the smart device 100 may further include at least one sensor, which is not described herein.
It is to be understood that in the following description, the words "first," "second," and the like are used merely for distinguishing between the descriptions and not necessarily for indicating or implying a relative importance or order.
The inventor researches and discovers that a main control center for air quality adjustment in the prior art can only be a fixed intelligent device. The mobile phone or the intelligent sound is usually used as a center of the intelligent home to adjust the air quality, but because the main control center is fixed equipment, when the main control center cannot be used under certain conditions, the air quality cannot be adjusted, so that the efficiency of air quality adjustment is low, and the use is very inconvenient.
Accordingly, the present disclosure provides an air quality adjustment method and an intelligent device. The device attribute of any intelligent device is determined according to the device type of the intelligent device. If the equipment attribute of the intelligent equipment is determined to support the main control function, a corresponding relation between each callback function in the intelligent equipment and a preset acquisition function is established so that any preset acquisition function is triggered, the intelligent equipment can correspondingly acquire data for the triggering operation, and a control instruction is sent to other intelligent equipment based on the acquired data to adjust air quality. Therefore, any intelligent device with a master control function in the disclosure can be used as a master control center for air quality adjustment, and the master control center is not limited to a fixed intelligent device (a mobile phone or a smart sound), any intelligent device with a master control function can be used as a master control center, for example, the intelligent device 1 is used as the master control center, and when a user is closer to the intelligent device 2 at this time, the master control center can be switched from the intelligent device 1 to the intelligent device 2 when the intelligent device 2 is used as the master control center. Therefore, the problems that in the prior art, the efficiency of air quality adjustment caused by the fact that a main control center can only be fixed intelligent equipment is low and the use is inconvenient are solved. The present disclosure improves the efficiency of air quality conditioning and this approach is more convenient. The following describes the technical scheme of the present disclosure in detail with reference to the accompanying drawings.
As shown in fig. 2A, one of application scenarios of the present disclosure includes an intelligent device 2A10, an intelligent device 2A20, an intelligent device 2A30, and an intelligent device 2A40, where each intelligent device may be an intelligent device such as a mobile phone, an air conditioner, a television, a fresh air machine, a refrigerator, etc., and the present disclosure is not limited herein. In the figure, four intelligent devices are taken as an example, and the number of each intelligent device is practically limited.
Next, the smart device 2a10 will be described as an example of a master control center. In one possible application scenario, the intelligent device 2a10 determines, according to its device type, whether its device attribute is supporting the master control function. If the equipment attribute of the intelligent equipment 2A10 is determined to be the supporting main control function, establishing a first corresponding relation between each callback function in the intelligent equipment 2A10 and each preset acquisition function; responding to the triggering operation of any preset acquisition function, and determining that the intelligent device 2A10 does not support the preset acquisition function, and acquiring data through the intelligent device 2A20, the intelligent device 2A30 and the intelligent device 2A40 supporting the preset acquisition function; control instructions are sent to the intelligent devices (e.g., the intelligent device 2a20 and/or the intelligent device 2a 30) having the air conditioning function based on the collected data, so that the intelligent device 2a20 and/or the intelligent device 2a30 perform air quality adjustment according to the control instructions.
Fig. 2B is a second schematic view of an application scenario of the present disclosure, where the application scenario includes an intelligent device 2B10, an intelligent device 2B20, an intelligent device 2B30, an intelligent device 2B40, an intelligent device 2B50, an intelligent device 2B60, and an intelligent device 2B70, where each intelligent device is an intelligent home device such as a refrigerator, a washing machine, an air conditioner, a fresh air machine, and the like. The present disclosure is not limited herein, and seven smart devices are taken as examples in the drawings, and the number of smart devices is not limited in practice.
Next, the smart device 2B10 will be described as an example of a master control center. In one possible application scenario, the intelligent device 2B10 determines, according to its device type, whether its device attribute is supporting the master control function. If the equipment attribute of the intelligent equipment 2B10 is determined to be the supporting main control function, establishing a first corresponding relation between each callback function in the intelligent equipment 2B10 and each preset acquisition function; responding to the triggering operation of any preset acquisition function, determining that the intelligent equipment 2B10 supports the preset acquisition function, determining a callback function corresponding to the preset function according to a first corresponding relation, and calling the determined callback function to acquire data; control instructions are sent to the intelligent devices 2B20, 2B30 and 2B40 with the air conditioning function based on the collected data so as to adjust the air quality according to the control instructions.
Therefore, any intelligent device with a main control function in the present disclosure can be used as information in the main control to adjust the air quality, and is not limited to one intelligent device, so that the efficiency of air quality adjustment is improved, and the mode is more convenient.
As shown in fig. 3, fig. 3 is a flow chart of a method for adjusting air quality in the present disclosure, which may include the following steps:
step 301: determining equipment attributes of the intelligent equipment according to the equipment types of the intelligent equipment, wherein the equipment attributes comprise a supporting main control function and a non-supporting main control function;
step 302: if the equipment attribute of the intelligent equipment is determined to be the supporting main control function, establishing a first corresponding relation between each callback function in the intelligent equipment and each preset acquisition function;
step 303: responding to the triggering operation of any preset acquisition function, and judging whether the intelligent equipment supports the preset acquisition function or not; if yes, go to step 304; if not, go to step 305;
step 304: determining a callback function corresponding to the preset acquisition function according to the first corresponding relation, and calling the determined callback function to acquire data;
Step 305: collecting data through other intelligent devices supporting the preset collection function;
the determining of the device attribute and the determining method of whether the intelligent device supports the preset collection function may be determined according to a preset relationship between the device type and the device attribute and whether the intelligent device supports the collection function, where the preset relationship may be as shown in table 1:
device type Device attributes Preset acquisition function A Preset acquisition function B Preset acquisition function C
A true 1 1 1
B true 1 0 1
C false 0 1 1
Wherein A, B, C can represent various intelligent devices, such as a refrigerator, an air conditioner, etc. Version information of each intelligence, such as fourth generation air conditioner, etc., is also possible. Both 1 and 0 above may represent support and non-support. But 1 and 0 cannot be the same. True and false may represent support and non-support of the master function, respectively, but True and false cannot be the same.
In some exemplary embodiments, step 305 may be embodied as: as shown in fig. 4, the following steps may be included:
step 401: inquiring a first networking state of other intelligent devices supporting the preset acquisition function; the first networking state includes online and offline;
step 402: and sending a control instruction to at least one intelligent device in other intelligent devices with online first networking states, and receiving data acquired by the intelligent devices.
For example, if the master device at this time is the smart device a. Other intelligent devices supporting the preset acquisition function include: intelligent device B, intelligent device C, and intelligent device D. When it is determined that the intelligent device a does not support the preset collection function (temperature collection, humidity collection, carbon dioxide content collection and the like), the intelligent device a queries the first networking states of the intelligent device B, the intelligent device C and the intelligent device D respectively. If the first networking states of the intelligent device B and the intelligent device D are inquired to be online. The first networking state of the smart device C is offline. And sending a control instruction to at least one intelligent device of the intelligent device B and the intelligent device D, and receiving data acquired by the intelligent device B by the intelligent device A after the intelligent device A sends the control instruction to the intelligent device B.
Therefore, when the intelligent equipment serving as the main control center does not support the preset acquisition function, only a control instruction is required to be sent to other online intelligent equipment supporting the preset acquisition function, namely, data acquisition is performed through other intelligent equipment, so that the air quality adjustment mode in the air quality control system is intelligent and convenient.
In order to enable the control command to be normally transmitted in a second, different network state. In some exemplary embodiments, the step 402 described above may be embodied as: if the second networking state of the intelligent equipment is that the local area network is online, the control instruction is sent to at least one intelligent equipment in other intelligent equipment with the online first networking state through the local area network; or if the second networking state of the intelligent device is that the wide area network is online, sending the control instruction to at least one intelligent device in other intelligent devices with the first networking state being online through a cloud platform.
For example, as shown in fig. 5A, when the television 501 as a key center needs to send a control instruction to other intelligent devices. If it is determined that the second networking state of the television is online, the television 501 needs to send a control instruction to the smart device 502, the smart device 503, the smart device 504 and the smart device 505 through the local lan.
If the second networking state of the television is online, as shown in fig. 5B, the television 501 needs to forward the control instruction to the server 506, and then the control instruction is sent to the smart device 502, the smart device 503, the smart device 504 and the smart device 505 by the server 506.
Therefore, the mode of the intelligent device sending the control command is determined through the second networking state of the intelligent device serving as the master control center, so that the control command can be normally sent.
Step 306: and sending a control instruction to the intelligent equipment with the air conditioning function based on the acquired data, so that the intelligent equipment can adjust the air quality according to the control instruction.
In some exemplary embodiments, step 306 may be embodied as: determining target parameters of each intelligent device with an air conditioning function according to the collected data; and respectively sending control instructions to all intelligent devices which are online in the first networking state and have an air conditioning function based on the target parameters, so that all the intelligent devices can adjust the parameters of all the intelligent devices to the target parameters according to the received control instructions.
For example, as described above, it is determined that the first networking states of the intelligent device B and the intelligent device D having the air conditioning function are online. The smart device C is offline. And if the target parameters of the intelligent devices are determined according to the acquired data. If the target parameter of the intelligent device B is determined to be B, the target parameter of the intelligent device C is determined to be C, and the target parameter of the intelligent device D is determined to be D. Then a control command is sent to smart device B to adjust the parameter to B (e.g., if smart device B is an air conditioner, the control command may be to adjust the temperature to 28 degrees celsius). The control command may be to adjust the parameter to D (e.g., if the intelligent device D is a fresh air fan, the control command may be to adjust the wind speed to a mid-range). Since the first networking state of the intelligent device C is offline, no control instruction is sent to the intelligent device C. And when the first networking state of the intelligent equipment is determined to be an online state, sending a control instruction to the intelligent equipment C.
Therefore, according to the embodiment, the control instructions are respectively sent to the intelligent devices with the air conditioning function through the determined target parameters, so that the air quality of the intelligent devices is adjusted, and the air conditioning is more convenient and intelligent.
In order to make the determined target parameters more accurate, in some exemplary embodiments, the collected data is compared with a preset range; and if the acquired data is not in the preset range, inputting the acquired data into a preset algorithm model, and determining target parameters of each intelligent device with an air conditioning function by using the algorithm model.
For example, the target parameters of each smart device may be determined by a pre-trained neural network model. For example, if the collected data is not within the preset range, the collected data is input into a pre-trained neural network, and the target parameters of each intelligent device with the air conditioning function are determined by using the neural network.
Different algorithm models can be preset for different intelligent device combinations, and the device combinations comprise intelligent devices with air conditioning functions and intelligent devices without air conditioning functions. As shown in table 2:
device combination Algorithm model
Intelligent device 1, intelligent device 2 and intelligent device 3 A
Intelligent device 1, intelligent device 2, intelligent device 4 and intelligent device 5 B
Intelligent device 2, intelligent device 3, intelligent device 4, intelligent device 6 C
… …
For example, the intelligent devices including the intelligent device 1, the intelligent device 2 and the intelligent device 3 in the room can determine target parameters of each intelligent device having an air conditioning function through a preset algorithm model a.
Therefore, when the collected data are determined not to be in the preset range, the target parameters of all intelligent devices are determined according to the preset corresponding relation so as to adjust the air quality. The target parameter is determined more accurately.
In some exemplary embodiments, the preset functions further include preset interaction functions; establishing the second corresponding relation between each callback function in the intelligent equipment and each preset interaction function; responding to the triggering operation of any preset interaction function, if the intelligent equipment supports the preset interaction function, determining a callback function corresponding to the preset interaction function according to the second corresponding relation, and calling the determined callback function to judge whether to trigger the operation aiming at a preset acquisition function; if yes, executing the step of responding to the triggering operation of any preset acquisition function.
For example, the preset interaction function may be a voice function, and if the smart device supports the voice function, the user may interact with the smart device through voice. For example, the user may have the intelligent device collect data via voice input. And the intelligent equipment determines the triggering operation aiming at the preset acquisition function through voice analysis, and then executes the step of triggering operation corresponding to any preset acquisition function.
Therefore, the preset collection function is triggered through the preset interaction function, so that air data can be collected according to the requirements of a user.
For further understanding of the technical solution of the present disclosure, the following detailed description with reference to fig. 6 may include the following steps:
step 601: determining equipment attributes of the intelligent equipment according to the equipment types of the intelligent equipment, wherein the equipment attributes comprise a supporting main control function and a non-supporting main control function;
step 602: if the equipment attribute of the intelligent equipment is determined to be the supporting main control function, establishing a first corresponding relation between each callback function in the intelligent equipment and each preset acquisition function;
step 603: responding to the triggering operation of any preset acquisition function, and judging whether the intelligent equipment supports the preset acquisition function or not; if yes, go to step 604; if not, go to step 605;
step 604: determining a callback function corresponding to the preset acquisition function according to the first corresponding relation, and calling the determined callback function to acquire data;
step 605: inquiring a first networking state of other intelligent devices supporting the preset acquisition function; the first networking state includes online and offline; transmitting a control instruction to at least one intelligent device in other intelligent devices with online first networking states, and receiving data acquired by the intelligent devices;
Step 606: determining target parameters of each intelligent device with an air conditioning function according to the collected data;
step 607: and respectively sending control instructions to all intelligent devices which are online in the first networking state and have an air conditioning function based on the target parameters, so that all the intelligent devices can adjust the parameters of all the intelligent devices to the target parameters according to the received control instructions.
Based on the same inventive concept, the embodiment of the disclosure also provides a schematic structural diagram of another intelligent device. As shown in fig. 7, the smart device 700 includes a device attribute determining module 710, a first correspondence determining module 720, a preset acquisition function triggering operation module 730, and a control instruction sending module 740.
A device attribute determining module 710, configured to determine a device attribute of the intelligent device according to a device type of the intelligent device, where the device attribute includes a supporting master control function and a non-supporting master control function;
the first correspondence determining module 720 is configured to establish a first correspondence between each callback function in the intelligent device and each preset acquisition function if it is determined that the device attribute of the intelligent device is the support master control function;
A preset collection function triggering operation module 730, configured to respond to a triggering operation of any preset collection function, determine a callback function corresponding to the preset collection function according to the first correspondence if the intelligent device supports the preset collection function, and call the determined callback function to collect data; if the intelligent equipment does not support the preset acquisition function, acquiring data through other intelligent equipment supporting the preset acquisition function;
and the control instruction sending module 740 is used for sending a control instruction to the intelligent equipment with the air conditioning function based on the acquired data so that the intelligent equipment can adjust the air quality according to the control instruction.
In some exemplary embodiments, the preset collection function triggers the operation module 730, specifically for:
inquiring a first networking state of other intelligent devices supporting the preset acquisition function; the first networking state includes online and offline;
and sending a control instruction to at least one intelligent device in other intelligent devices with online first networking states, and receiving data acquired by the intelligent devices.
In some exemplary embodiments, the preset collection function operation module 730 is specifically configured to:
If the second networking state of the intelligent equipment is that the local area network is online, the control instruction is sent to at least one intelligent equipment in other intelligent equipment with the online first networking state through the local area network; or (b)
And if the second networking state of the intelligent device is that the wide area network is online, sending the control instruction to at least one intelligent device in other intelligent devices with the online first networking state through a cloud platform.
In some exemplary embodiments, the control instruction sending module 740 is specifically configured to:
determining target parameters of each intelligent device with an air conditioning function according to the collected data;
and respectively sending control instructions to all intelligent devices which are online in the first networking state and have an air conditioning function based on the target parameters, so that all the intelligent devices can adjust the parameters of all the intelligent devices to the target parameters according to the received control instructions.
In some exemplary embodiments, the control instruction sending module 740 is specifically configured to:
comparing the acquired data with a preset range;
and if the acquired data is not in the preset range, inputting the acquired data into a preset algorithm model, and determining target parameters of each intelligent device with an air conditioning function by using the algorithm model.
In some exemplary embodiments, the preset functions further include preset interaction functions; the smart device further includes:
a second correspondence establishing module 750, configured to establish a second correspondence between each callback function in the intelligent device and each preset interaction function after determining that the device attribute of the intelligent device is the support master control function;
a preset interactive function triggering operation module 760, configured to respond to a triggering operation of any preset interactive function, determine a callback function corresponding to the preset interactive function according to the second correspondence if the intelligent device supports the preset interactive function, and call the determined callback function to determine whether to trigger an operation for a preset acquisition function;
the execution response module 770 is configured to execute a step of responding to a triggering operation of any one of the preset acquisition functions if yes.
The presently disclosed embodiments also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods described above.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus and modules described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
In the several embodiments provided in the present disclosure, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present disclosure may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present disclosure, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be stored by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The foregoing has described in detail the technical solutions provided by the present disclosure, and specific examples have been applied in the present disclosure to illustrate the principles and embodiments of the present disclosure, where the foregoing examples are only for helping to understand the methods of the present disclosure and the core ideas thereof; meanwhile, as one of ordinary skill in the art will have variations in the detailed description and the application scope in light of the ideas of the present disclosure, the present disclosure should not be construed as being limited to the above description.

Claims (6)

1. An intelligent device is characterized by comprising a memory and a processor;
the memory is configured to store a first corresponding relation, wherein the first corresponding relation is a corresponding relation between each callback function in the intelligent equipment and a preset acquisition function, and the preset acquisition function comprises at least one of a temperature acquisition function, a humidity acquisition function and a carbon dioxide content acquisition function;
the processor is configured to:
determining equipment attributes of the intelligent equipment according to the equipment types of the intelligent equipment, wherein the equipment attributes comprise a supporting main control function and a non-supporting main control function;
if the equipment attribute of the intelligent equipment is determined to be the supporting main control function, establishing a first corresponding relation between each callback function in the intelligent equipment and each preset acquisition function;
Responding to the triggering operation of any preset acquisition function, if the intelligent equipment supports the preset acquisition function, determining a callback function corresponding to the preset acquisition function according to the first corresponding relation, and calling the determined callback function to acquire data; if the intelligent device does not support the preset acquisition function, inquiring a first networking state of other intelligent devices supporting the preset acquisition function; transmitting a control instruction to at least one intelligent device in other intelligent devices with online first networking states, and receiving data acquired by the intelligent devices; wherein, when executing the sending of the control instruction to at least one of the other intelligent devices with the first networking state being online, the processor is specifically configured to:
if the second networking state of the intelligent equipment is that the local area network is online, the control instruction is sent to at least one intelligent equipment in other intelligent equipment with the online first networking state through the local area network; or if the second networking state of the intelligent device is that the wide area network is online, sending the control instruction to at least one intelligent device in other intelligent devices with the first networking state being online through a cloud platform;
And sending a control instruction to the intelligent equipment with the air conditioning function based on the acquired data, so that the intelligent equipment can adjust the air quality according to the control instruction.
2. The intelligent device according to claim 1, wherein the processor, when executing the control instruction sent by the intelligent device with air conditioning function based on the collected data, is specifically configured to:
determining target parameters of each intelligent device with an air conditioning function according to the collected data;
and respectively sending control instructions to all intelligent devices which are online in the first networking state and have an air conditioning function based on the target parameters, so that all the intelligent devices can adjust the parameters of all the intelligent devices to the target parameters according to the received control instructions.
3. The smart device of claim 2, wherein the processor, when executing the determining target parameters of each smart device having an air conditioning function from the collected data, is specifically configured to:
comparing the acquired data with a preset range;
And if the acquired data is not in the preset range, inputting the acquired data into a preset algorithm model, and determining target parameters of each intelligent device with an air conditioning function by using the algorithm model.
4. An intelligent device according to any one of claims 1-3, wherein the functions of the intelligent device further comprise preset interaction functions;
the memory is further configured to store a second corresponding relation, where the second corresponding relation is a corresponding relation between each callback function in the intelligent device and each preset interaction function;
the processor, after executing the determining that the device attribute of the smart device is the support master function, is further configured to:
establishing the second corresponding relation between each callback function in the intelligent equipment and each preset interaction function;
responding to the triggering operation of any preset interaction function, if the intelligent equipment supports the preset interaction function, determining a callback function corresponding to the preset interaction function according to the second corresponding relation, and calling the determined callback function to judge whether to trigger the operation aiming at a preset acquisition function;
if yes, executing the step of responding to the triggering operation of any preset acquisition function.
5. An air quality adjusting method, which is characterized by being applied to intelligent equipment, comprising the following steps:
determining equipment attributes of the intelligent equipment according to the equipment types of the intelligent equipment, wherein the equipment attributes comprise a supporting main control function and a non-supporting main control function;
if the equipment attribute of the intelligent equipment is determined to be the supporting main control function, establishing a first corresponding relation between each callback function in the intelligent equipment and each preset acquisition function, wherein the preset acquisition functions comprise at least one of a temperature acquisition function, a humidity acquisition function and a carbon dioxide content acquisition function;
responding to the triggering operation of any preset acquisition function, if the intelligent equipment supports the preset acquisition function, determining a callback function corresponding to the preset acquisition function according to the first corresponding relation, and calling the determined callback function to acquire data; if the intelligent device does not support the preset acquisition function, inquiring a first networking state of other intelligent devices supporting the preset acquisition function; transmitting a control instruction to at least one intelligent device in other intelligent devices with online first networking states, and receiving data acquired by the intelligent devices; the sending a control instruction to at least one intelligent device in other intelligent devices with online first networking states specifically includes:
If the second networking state of the intelligent equipment is that the local area network is online, the control instruction is sent to at least one intelligent equipment in other intelligent equipment with the online first networking state through the local area network; or if the second networking state of the intelligent device is that the wide area network is online, sending the control instruction to at least one intelligent device in other intelligent devices with the first networking state being online through a cloud platform;
and sending a control instruction to the intelligent equipment with the air conditioning function based on the acquired data, so that the intelligent equipment can adjust the air quality according to the control instruction.
6. The method of claim 5, wherein the sending a control command to the intelligent device with air conditioning function based on the collected data to facilitate the intelligent device to adjust the indoor air quality according to the control command, comprises:
determining target parameters of each intelligent device with an air conditioning function according to the collected data;
and respectively sending control instructions to all intelligent devices which are online in the first networking state and have an air conditioning function based on the target parameters, so that all the intelligent devices can adjust the parameters of all the intelligent devices to the target parameters according to the received control instructions.
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