WO2019134703A1 - 控制方法及系统、空调和服务器 - Google Patents

控制方法及系统、空调和服务器 Download PDF

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Publication number
WO2019134703A1
WO2019134703A1 PCT/CN2019/070704 CN2019070704W WO2019134703A1 WO 2019134703 A1 WO2019134703 A1 WO 2019134703A1 CN 2019070704 W CN2019070704 W CN 2019070704W WO 2019134703 A1 WO2019134703 A1 WO 2019134703A1
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WIPO (PCT)
Prior art keywords
control
air conditioner
server
rule
information
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PCT/CN2019/070704
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English (en)
French (fr)
Inventor
刘旭敏
彭炳全
朱骁
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海信（广东）空调有限公司
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Application filed by 海信（广东）空调有限公司 filed Critical 海信（广东）空调有限公司
Publication of WO2019134703A1 publication Critical patent/WO2019134703A1/zh

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof

Definitions

  • the present disclosure relates to the field of air conditioning, and in particular, to a control method and system, an air conditioner, and a server.
  • the parameter setting of the air conditioner is fixed at the factory. After a certain period of use, the parameter setting of the old model may not meet the current user demand. In addition, the parameter settings of the same type of air conditioner are often the same, which cannot meet the individual needs.
  • some embodiments of the present disclosure provide a control system including a server and an air conditioner: wherein the air conditioner is configured to transmit application information of the air conditioner to a server, and execute the server to send the Control rules and control parameters of the air conditioner; the application information of the air conditioner includes at least one of geographical location information of the air conditioner, user information, or indoor and outdoor environment information; the server is configured to receive the application information according to the pre.
  • the big data analysis model is set to generate control rules and control parameters, and the generated control rules and control parameters are sent to the air conditioner.
  • some embodiments of the present disclosure provide an air conditioner in communication with a server, wherein the air conditioner includes a collector, a first processor, a first transmitter, a first receiver, and the collector is And configured to collect application information, where the application information includes at least one of geographic location information, user information, or indoor and outdoor environment information; the first transmitter is configured to send the application information to a server; The receiver is configured to receive control rules and control parameters sent by the server, wherein the control rules and control parameters are generated by the server in response to the control rules and control parameters; the first processor is configured to The control rules and control parameters are executed.
  • some embodiments of the present disclosure provide a server in communication with an air conditioner, wherein the server includes a second receiver, a second processor, a second transmitter, and the second receiver is configured Receiving application information sent by the air conditioner, the application information includes at least one of geographic location information, user information, or indoor and outdoor environment information; the second processor is configured to receive the application information according to the The preset big data analysis model generates control rules and control parameters; the second transmitter is configured to send the control rules and control parameters to the air conditioner.
  • some embodiments of the present disclosure provide a control method for a system including a server and an air conditioner, wherein the control method includes: the air conditioner transmits application information to a server; the application information includes Determining at least one of geographic location information, user information, or indoor and outdoor environment information of the air conditioner; the server generates control rules and control parameters according to the received application information and a preset big data analysis model, and generates the generated The control rules and control parameters are sent to the air conditioner; the air conditioner executes control rules and control parameters sent by the server to the air conditioner.
  • FIG. 1 is a schematic flowchart of a device control method provided by some embodiments of the present disclosure
  • FIG. 2 is a schematic diagram of a system including an air conditioner according to some embodiments of the present disclosure
  • FIG. 3 is a schematic flowchart diagram of a control method according to some embodiments of the present disclosure.
  • FIG. 4 is a schematic diagram of another system including an air conditioner according to some embodiments of the present disclosure.
  • FIG. 5 is a schematic flowchart diagram of still another method for controlling an air conditioner according to some embodiments of the present disclosure
  • FIG. 6 is a schematic flowchart diagram of another method for controlling an air conditioner according to some embodiments of the present disclosure.
  • FIG. 7 is a schematic flowchart diagram of still another method for controlling an air conditioner according to some embodiments of the present disclosure.
  • FIG. 8 is a schematic flowchart diagram of still another method for controlling an air conditioner according to some embodiments of the present disclosure.
  • FIG. 9 is a schematic structural diagram of an air conditioner according to some embodiments of the present disclosure.
  • FIG. 10 is a schematic structural diagram of a server according to some embodiments of the present disclosure.
  • control method includes:
  • S10 Obtain application information of the device, and send the application information of the device to the server, where the application information of the device includes geographical location information of the device, user information, and indoor and outdoor environment information;
  • the device executes the control policy.
  • the control strategy includes control rules and control parameters required to control device operation or to improve device control, wherein the control rules include, but are not limited to, logic for controlling device operation or partial logic thereof (improved device operation control center) What is needed is generally part of the control logic; the control parameters include, but are not limited to, the parameters required for the device to operate as described above.
  • the control rules include at least one of an operating frequency, an airflow control, a humidification control, a button rule, or an interface display rule, and in some embodiments the case rules include instructions for key characterization and/or arrangement of buttons.
  • the display rule includes at least one of display parameters such as display layout, display brightness, font size, and the like on the display screen.
  • the application information of the device refers to information related to formulating or improving a control policy of the device, including but not limited to geographical location information of the device, indoor and outdoor environment information of the device, and personal information (ie, user information) of the operator of the device, that is, the user. .
  • operational parameter information of the device itself may also be included.
  • the user controls the device to send the application information to, for example, the device to the server by clicking a button on the remote controller or an icon in the application on the mobile terminal (eg, a mobile phone), or the device can pass the application information through the local area network. Or near field communication is transmitted to the mobile terminal, and the mobile terminal is uploaded to the server.
  • the server receives the application information, generates a new control policy based on the application information of the device, and sends the new control policy to the device.
  • the device executes a new control strategy, ie executes new control rules and control parameters so that the device operates under the new control method. If the original control rules and control parameters exist on the device, the original control rules and control parameters on the device are overwritten.
  • the server matches the corresponding control rules and control parameters according to the application information of the device.
  • the control rule and the control parameter may perform big data analysis based on the application information uploaded by the device, and formulate corresponding control rules and control parameters according to the external environment of different regions and the personalized needs of the user.
  • the device is a multimedia terminal such as a TV
  • the server analyzes that the user is a middle class family based on the application information uploaded by the device, and the housewife in the home uses more time, and the big data analysis is obtained from the middle class housewife.
  • the brand's products, interest in those film and television materials, and operational habits, etc. the server generates corresponding control rules and control parameters, so that multimedia terminals such as television can conform to user operating habits, and filter and push corresponding content that users may be interested in.
  • the control policy running on the device is generated based on the application information uploaded by the device, for example, the control rule and the control parameter used to implement the new control policy may be performed by using the application information of the device. Big data analysis, according to the external environment of different regions and the individualized needs of users, the control rules and control parameters are formulated. Therefore, the control rules and control parameters can be adjusted according to different geographical locations, users, and indoor and outdoor environments. Dynamically and personally adjust the control rules and control parameters of the device. Further explanation will be made below in conjunction with the examples.
  • the server performs big data analysis according to the application information of the device, and performs deep learning to obtain the control rule and the control parameter. For example, by using artificial intelligence, big data technology, and Internet of Things technology, the server can realize scientifically formulating or improving control rules and control parameters of devices according to different environments of different regions, thereby realizing functions of devices. Custom settings.
  • control method after receiving the control rule and the control parameter sent by the server, the control method further includes: receiving a modification of the control policy by the user; and the device executing the modified control policy.
  • control rules and control parameters received from the server may be presented to the user (eg, video information, picture information, voice information, etc.) as recommended control rules and control parameters in a particular manner, and the user is dissatisfied with the control rules and When controlling parameters, the user can also modify the control rules and control parameters, so that the user can customize the control strategy of the device.
  • control rules and control parameters include adjusting display related display rules and display control parameters.
  • the display rule includes, for example, a button rule and/or an interface display rule.
  • the control method further includes: receiving at least one button rule or interface display rule from the server, wherein the button rule and The interface display rule is generated based on a result of big data analysis performed on application information of the device. For example, if the user is an elderly person over the age of 65, and according to big data analysis, the 65-year-old elderly has a large aging and deafness probability, and the determined button rules and interface display rules include displaying a large button, and the interface is displayed. Larger font or higher definition, larger volume.
  • Some embodiments of the present disclosure provide a system including an air conditioner, including the air conditioner 11 and the server 12, as shown in FIG.
  • the air conditioner 11 is configured to transmit application information of the air conditioner to the server, and execute control rules and control parameters sent by the server 12 to the air conditioner 11;
  • the application information of the air conditioner 11 includes geographical location information of the air conditioner 11, user information, or indoor and outdoor environment. At least one of the information;
  • the server 12 is configured to generate a control rule and a control parameter according to the received application information and the preset big data analysis model, and send the generated control rule and control parameter to the air conditioner 11.
  • the air conditioner 11 includes an air conditioner main body and an input device as an air conditioner accessory (for example, a remote controller or a mobile phone equipped with a corresponding APP), and the air conditioner can collect personal information of the user who uses the air conditioner through the input device (for example, the user is a child, a pregnant woman, an elderly person) Information for adults, etc.)
  • the user's personal information is collected by an input device that is an air conditioning accessory, such as personal information entered by the user via an air conditioner remote control.
  • the air conditioner 11 can also obtain the geographical location information of the area in which it is located. For example, the location of the air conditioner 11 can be determined by an Internet Protocol (IP) address, or the location information can be obtained by using a built-in positioning chip.
  • IP Internet Protocol
  • the air conditioner 11 can also collect indoor and outdoor environmental parameters through sensors, which may include, for example, temperature, humidity, PM2.5 value, negative oxygen ion content, and the like.
  • sensors which may include, for example, temperature, humidity, PM2.5 value, negative oxygen ion content, and the like.
  • sensors such as temperature, humidity, PM2.5 value, negative oxygen ion content, and the like.
  • a sensor such as a temperature sensor for measuring temperature, a humidity sensor for measuring humidity, a dust sensor for monitoring PM2.5, or the like is provided through the air conditioner 11.
  • the sensor collects indoor and outdoor environmental parameters. These sensor measurement data can be used as a reference for the development of control rules and control parameters formulated by the air conditioner 11 as part of the device application information.
  • the air conditioner 11 sends application information including but not limited to the above information to the server 12, and the server generates control rules and control parameters according to the received application information and the preset big data analysis model.
  • the preset big data analysis model includes a logic or a method for generating a control rule and a control parameter representing a new control policy according to the received application information, that is, the preset big data analysis model can establish application information to a new control strategy.
  • the preset big data analysis model can be implemented by a software programming method.
  • the data is classified and stored by the server, and then the received data is analyzed by big data analysis, and the optimal control rules and control parameters are determined by using deep learning, and finally the control rules and control parameters are sent.
  • the air conditioner 11 is used for execution, wherein the big data analysis may be historical data (application information, control rules, control parameter correspondence) of the user and/or data of other users (application information, control rules, control parameters, correspondence)
  • the big data analysis finally matches the optimal control rules and control parameters corresponding to the application information.
  • the air conditioner 11 is further configured to transmit the modified control rules and control parameters to the server 12; the server 12 is further configured to adjust the said information based on the application information and the modified control rules and control parameters Big data analysis model.
  • the control rules and control parameters formulated by the server may not fully meet the needs of the user. Therefore, the air conditioner 11 also allows the user to customize the control rules and control parameters, and realizes the control of the air conditioner 11 through the input device and the corresponding control circuit of the air conditioner body.
  • the control software loads the user-adjusted control rules and control parameters to run.
  • the modified control rules and control parameters of the user are fed back to the server as historical data reflecting the user's operating habits, and the server adjusts the big data analysis model accordingly, and will consider these reflecting user operations when subsequently formulating a control policy for the user. Customary historical data.
  • Some embodiments of the present disclosure provide a control method applied to the above system, as shown in FIG. 3, the method includes:
  • Acquire application information of the air conditioner, and the application information of the air conditioner includes at least one of geographic location information, user information, and indoor and outdoor environment information.
  • the air conditioner sends the application information to the server.
  • the server receives application information from the air conditioner.
  • the server generates a control rule and a control parameter according to the received application information and the preset big data analysis model.
  • the server matches the corresponding control rules and control parameters according to the application information such as the geographical location information, the user information, and the indoor and outdoor environment information.
  • the server can perform big data analysis and deep learning, for example, through the correspondence between historical data (application information, control rules, control parameters) of the user and/or other users' data (application information, control rules, control parameters) Perform big data analysis, deep learning and modeling, and finally match the best control rules and control parameters for each set of application information.
  • Big data analysis refers to the analysis of large-scale data. Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time frame. It is a massive, high-growth, and diverse information asset that needs to be analyzed through new processing models.
  • Deep learning is a new field in machine learning research. Its motivation is to establish and simulate a neural network for human brain analysis and learning, which mimics the mechanism of human brain to interpret data.
  • the temperature difference between day and night in the Middle East is large, and the temperature difference between day and night in Europe and the outside is small.
  • the big data in these two regions can represent the control rules and control parameters that local people are used to.
  • the summer cooling temperature and the winter heating temperature of the elderly cannot be too low due to physical reasons, so the control rules and control parameters of the two groups are different.
  • the default humidity value of the controller is 50% RH, and the set humidity is not adjustable; the default setting wind speed is adjustable, and the highest frequency is 53Hz, the lowest frequency is 22Hz; the relationship between wind speed and the highest frequency of the press is high wind 53Hz, stroke 48Hz, low wind 40Hz.
  • the server can analyze and obtain the specific control rules and control parameters corresponding to each group of application data through data induction, and change the air conditioner by using specific control rules and control parameters.
  • the user may select an option in the APP: crowd, region, time, etc., and then upload the information to the server as part of the application information after the user determines, the server may generate an air conditioning programmable control rule file or file link. It is loaded into the control software of the air conditioner in a variety of ways.
  • the population can correspond to user information, and the user information can be divided into different groups based on age, gender, and physiological information (such as whether it is pregnant or not, whether it is in a physiological period, whether it is a heat or a cold body, etc.), in some embodiments,
  • the options for the population may include: children, the elderly, pregnant women, during the physiological period, and the physical condition.
  • the area is the geographical location where the air conditioner is located.
  • the server sends corresponding control rules and control parameters to the air conditioner.
  • control rules and control parameters may be sent to the air conditioner in the form of a rule file, which may include a boot area, a rule area, and a parameter area, wherein the boot area is used to store a handshake protocol for air conditioning. Handshake negotiation with the server to verify that the content is valid and valid, the rule area is used to store control rules, and the parameter area is used to store control parameters.
  • control rules and control parameters must be sent to the air conditioner directly by the server through the network (for example, wired or wireless), and may also be stored by a user, a salesperson, an after-sales person, or the like through a special tooling or a USB flash drive.
  • control rules and control parameters can also be sent by the server directly over the network (eg, wired or wireless) to a terminal, such as a user's handset, which is then loaded by the terminal to an air conditioner, or more specifically to a control component of the air conditioner.
  • the user, the salesperson, the after-sales personnel, and the like can operate by using an APP or a personal computer (Personal Computer) or the like on the terminal 13, for example, by controlling the server 12 by the URL link, and controlling the rule. And the control parameters are downloaded to the air conditioner 11.
  • an APP Personal Computer
  • a personal computer Personal Computer
  • the air conditioner receives control rules and control parameters from the server.
  • the air conditioner executes control rules and control parameters.
  • the control method provided by the embodiment of the present disclosure can adjust the control rules and control parameters of the air conditioner according to different geographical locations, users, and indoor and outdoor environments, and realize the dynamic adjustment of the control rules and control parameters of the air conditioner.
  • the air-conditioning collection specifically refers to those application information and the manner in which the server specifically determines the control rules and control parameters, and does not affect the implementation of the above-described scheme of the present disclosure.
  • the method may further include:
  • the air conditioner receives a modification of the control rule and the control parameter by the user.
  • the user can make modifications at an input device, such as an APP of the terminal, and the selectable content is provided by means of selections or parameters.
  • the modifiable control rules and control parameters are more specific, giving the user more freedom to formulate control rules and control parameters that meet their needs. For example, you can modify the default setting to adjust the wind speed, the highest frequency is 100Hz, and the lowest frequency is 5Hz.
  • the user's modification of the control rules and control parameters is received by the air conditioner remote control.
  • the air conditioner executes the modified control rule and the control parameter.
  • the method may further include:
  • the server matches the corresponding button rule or interface display rule according to the geographic location information and the user information.
  • geographic location information shows that air conditioners are used in the Middle East.
  • Big data analysis This area usually uses Arabic, so that for air conditioners in the Middle East, the display interface of the air conditioner or remote control is preferentially displayed in Arabic.
  • the location of the air conditioner corresponds to the Chinese community in the Middle East, the display interface of the air conditioner or remote control can display Chinese in priority, or display Arabic and Chinese for the user to choose.
  • the display interface can be displayed in larger fonts or higher definitions that most older users are accustomed to.
  • the display rules include but are not limited to: the displayed language, the displayed graphical interface, the displayed font size, and the clarity of the display.
  • the rules of the button may include, but are not limited to, the layout of the button, the order of the buttons, the operation command function corresponding to the button, and the like.
  • the button rules or interface display rules may be part of the control rules or may be part of a separate control outside of the control rules, as part of the individual control, the control rules include operating frequency, airflow control, humidification At least one of the controls, but does not include a button rule or an interface display rule.
  • the air conditioner receives a button rule or an interface display rule from the server.
  • the air conditioner executes the above button rule or interface display rule.
  • the method may further include:
  • the air conditioner receives a modification of a button rule or an interface display rule by a user.
  • the user can also modify the button rules according to his own usage habits.
  • the air conditioner executes the modified button rule or the interface display rule.
  • the entire air conditioning processing flow includes:
  • S502 In response to the server issuing a new button rule, executing a button rule issued by the server; and executing the original button rule in response to the server not issuing a new button rule.
  • S504 Execute a new interface display rule in the server, execute an interface display rule sent by the server, and execute the original interface display rule in response to the server not issuing a new interface display rule.
  • the air conditioner includes an air conditioner body and an input device.
  • the air conditioner body includes an indoor unit and an outdoor unit.
  • the The air conditioner 11 further includes a collector 1101, a first transmitter 1102, a first processor 1103, and a first receiver 1104.
  • the collector 1101 may be disposed on the air conditioner body, or may be disposed on the input device, or may be partially disposed on the air conditioner body and partially disposed on the input device.
  • the first transmitter 1102 and the first processor 1103 can be set with reference to the collector 1101.
  • the collector 1101 is configured to acquire application information of the device, where the application information of the device includes at least one of geographical location information of the device location, user information, and indoor and outdoor environment information.
  • the collector includes a temperature sensor for measuring temperature, a humidity sensor for measuring humidity, a dust sensor for monitoring PM2.5, and the like, and a touch screen or a button provided on the input device, and the like.
  • the user can input any one or more of user information (such as the user's personal information: age, gender, belonging group, etc.) and geographical location information through a touch screen or a button on the input device.
  • the geographical location information can also be Obtained by the position locating circuit, the temperature around the air conditioner, humidity, PM2.5, outdoor temperature, etc. can be used as indoor and outdoor environmental parameters.
  • the difference between the detected values of the same detected content in the indoor and outdoor environmental parameters is used by the server to generate control rules and control parameters.
  • the first transmitter 1102 is configured to send application information of the device acquired by the collector 1101, that is, geographic location information, user information, indoor and outdoor environment information, and the like to the server.
  • the first transmitter 1102 may be disposed on the air conditioner body or in the input device.
  • the first transmitter is an uplink information transmission circuit
  • the uplink information transmission circuit may be a WIFI circuit, a Bluetooth circuit, or a near
  • the uplink circuit in the field communication circuit or the wired network signal transmitting circuit transmits the information collected by the collector 1101 to the server via the first transmitter 1102 after being processed by the processor in the air conditioner.
  • the air conditioner main body is connected through the home gateway and the mobile phone as an input device, and the air conditioner main body and the mobile phone are located in the same local area network, and the server located outside the local area network is connected to the home gateway through the wired/wireless network (it can also be directly established with the mobile phone)
  • the network connection ); the temperature sensor, the humidity sensor, the dust sensor on the air conditioner main body, and the collected information is sent to the mobile phone through the local area network, and the mobile phone as the input device receives the user information and the geographical location information input by the user, and the processor in the monkey emergency will Application information including temperature, humidity, PM2.5 value, geographic location, and user information is sent to the server through the home gateway.
  • the processor can also be located on the air conditioning body and directly connected to the home gateway.
  • the first receiver 1104 is configured to acquire control rules and control parameters transmitted from the server in response to the application information.
  • the control rule and the control parameter are generated based on application information of the device.
  • the first receiver 1104 is a downlink information transmission circuit, and the downlink information transmission circuit may be a WIFI circuit, a Bluetooth circuit, a near field communication circuit, or a downlink circuit in a wired network signal transmission circuit, and the downlink information transmission circuit
  • the received control rules and control parameters are transmitted to the processor of the air conditioner, wherein the control rules and control parameters are generated by the server in response to the application information.
  • the control rules and control parameters include the wind speed parameter of the operation of the air conditioner, the wind direction parameter, the temperature parameter, the outdoor machine working frequency, the temperature curve characterizing the temperature at each time point, the wind direction curve at each time point, the wind speed curve at each time point, and each time The outdoor unit operating frequency of the point, the corresponding curve of the wind speed and the operating frequency of the outdoor unit.
  • the first processor 1103 is configured to execute the control rules and control parameters acquired by the first receiver 1104.
  • the air conditioner further receives a modification of the control rule and the control parameter by the user; for example, after the control rule and the control parameter sent by the air conditioner execution server, the user considers Still can not meet their own needs, the user adjusts the control rules and control parameters through the touch screen or buttons on the input device.
  • the first processor 1103 is further configured to execute the modified control rule and the control parameter.
  • the air conditioner also uploads the adjusted control rules and control parameters of the user to the server, and the server analyzes the adjusted control rules and control parameters of the user and the control rules and control parameters sent by the previous server to the big data. Analyze the model for correction or adjustment.
  • the application information uploaded by the user this time is also used for correction or adjustment of the big data analysis model.
  • the air conditioner main body or the input device is provided with a display screen and a touch button or a physical button
  • the control rule includes: a button rule and/or an interface display rule
  • the air conditioner is further configured to receive the button from the server.
  • a rule or an interface display rule wherein the button rule or the interface display rule is obtained by the server matching the application information uploaded by the air conditioner.
  • the air conditioner is also used to execute the button rules or interface display rules delivered by the server.
  • the server can also press the button when inputting the control rule and the control parameter. Rules or interface display rule parameters are sent to the air conditioner.
  • the air conditioner is further configured to receive a modification of a button rule or an interface display rule by the user; the air conditioner is further configured to execute the modified button rule or the interface display rule.
  • the user can adjust the button rules and interface display rules of the air conditioner through the input device, for example, the air conditioner is modified according to the button rules and interface display rules issued by the server, and the user thinks that the user still cannot meet his own needs.
  • the touch screen or button on the input device adjusts the button rules and interface display rules.
  • the air conditioner also uploads the user adjusted button rules and interface display rules to the server, and the server analyzes the adjusted button rules and interface display rules between the user and the button rules and interface display rules sent by the server. The difference is to correct or adjust the big data analysis model.
  • the collector, the first processor, the first receiver and the first transmitter may be separate components, or one or more of them may be integrated.
  • the first processor may be implemented by a separate processor or may be implemented by multiple processors.
  • the above control method may also be stored in the memory of the controller in the form of program code, by a processor of the controller. Call and execute the functions of the above units.
  • the processor herein may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present disclosure.
  • the server 12 includes: a second receiver 1201, a second processor 1202, and a second transmitter 1203. .
  • the second receiver 1201 is configured to receive application information of the device from a device such as an air conditioner, and the application information of the device includes at least one of geographic location information, user information, and indoor and outdoor environment information.
  • the second processor 1202 is configured to generate a corresponding control rule and control parameter (representing a new control policy) based on the application information of the device; for example, the second processor 1202 is configured to device geographic location information, user information, and indoor and outdoor Application information such as environmental information is analyzed by big data, and deep learning is performed to determine corresponding control rules and control parameters.
  • the second processor 1202 is further configured to receive control rules and control parameters of other air conditioner users, application information corresponding to the control rules and control parameters, and/or control rules and control parameters of the user in the history of the user, and corresponding control rules and Controlling the application information of the parameters, by performing big data analysis on the information, and deep learning to construct a model of the correspondence between the application information and the control rules and the control parameters, the model is used after the server receives the application information uploaded by the user, and outputs The control rules and control parameters corresponding to the uploaded application information.
  • the second transmitter 1203 is configured to transmit the control rules and control parameters generated by the second processor 1202 to the device.
  • the second receiver 1201 is further configured to receive user modified control rules and control parameters transmitted by the air conditioner; the second processor 1202 is further configured to The modified data control model is adjusted by the user's modified control rules and control parameters.
  • the server in the embodiment of the present disclosure can be applied to the foregoing method, the technical effects that can be obtained by the server are also referred to the foregoing method embodiments, and the embodiments of the present disclosure are not described herein again.
  • Generating corresponding control rules and control parameters based on the application information of the device may be implemented in one or more processors that are separately set up, or integrated in one or more processors of the controller. In addition, it may be stored in the memory of the controller in the form of program code, and one of the controllers of the controller calls and executes the functions of the above units.
  • the processor herein may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present disclosure.
  • the size of the sequence numbers of the above processes does not mean the order of execution, and the order of execution of each process should be determined by its function and internal logic, and should not be implemented in the implementation of the embodiments of the present disclosure. Form any limit.
  • the disclosed systems, devices, and methods may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the functional units and components is only a logical functional division.
  • there may be another division manner such as multiple units or Components can be combined or integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical, mechanical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in various embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

Abstract

一种控制系统，包括服务器（12）和空调（11）：其中，所述空调（11）被配置为将所述空调（11）的应用信息发送给服务器（12），并执行所述服务器（12）发送给所述空调（11）的控制规则和控制参数；所述设备的应用信息包括设备的地理位置信息、用户信息或室内外环境信息中的至少一种；所述服务器（12）被配置为根据接收到的所述应用信息以及预设大数据分析模型生成控制规则和控制参数，并将生成的所述控制规则和控制参数发送给空调（11）。

Description

控制方法及系统、空调和服务器
本申请要求于2018年1月5日提交中国专利局、申请号为201810010980.1、发明名称为“控制规则和控制参数的调整方法、空调、服务器和系统”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本公开涉及空调领域，尤其涉及一种控制方法及系统、空调和服务器。
背景技术
随着人类生活水平的不断提高，人类对空调使用的舒适性的需求在不断提高。目前空调的参数设置在出厂时即固定下来，在使用一定年限后，旧机型的参数设置可能已经不能满足当前用户需求。另外，同一型号空调的参数设置往往相同，不能满足个性化需求。
发明内容
第一方面，本公开的一些实施例提供了一种控制系统，包括服务器和空调：其中，所述空调被配置为将所述空调的应用信息发送给服务器，并执行所述服务器发送给所述空调的控制规则和控制参数；所述空调的应用信息包括空调的地理位置信息、用户信息或室内外环境信息中的至少一种；所述服务器被配置为根据接收到的所述应用信息以及预设大数据分析模型生成控制规则和控制参数，并将生成的所述控制规则和控制参数发送给所述空调。
第二方面，本公开的一些实施例提供了一种空调，与服务器通信连接，其中，所述空调包括采集器，第一处理器，第一发送器，第一接收器，所述采集器被配置为采集应用信息，所述应用信息包括地理位置信息、用户信息或室内外环境信息中的至少一种；所述第一发送器被配置为将所述应用信息发送给服务器；所述第一接收器被配置为接收所述服务器发送的控制规则和控制参数，其中所述控制规则和控制参数为所述服务器响应于所述控制规则和控制参数生成的；所述第一处理器被配置为执行所述控制规则和控制参数。
第三方面，本公开的一些实施例提供了一种服务器，与空调通 信连接，其中，所述服务器包括第二接收器，第二处理器，第二发送器，所述第二接收器被配置为接收所述空调发送的应用信息，所述应用信息包括地理位置信息、用户信息或室内外环境信息中的至少一种；所述第二处理器被配置为根据接收到的所述应用信息以及预设大数据分析模型生成控制规则和控制参数；所述第二发送器被配置为将所述控制规则和控制参数发送给所述空调。
第四方面，本公开的一些实施例提供了一种控制方法，用于包括服务器和空调的系统，其中，所述控制方法包括：所述空调将应用信息发送给服务器；所述应用信息包括所述空调的地理位置信息、用户信息或室内外环境信息中的至少一种；所述服务器根据接收到的所述应用信息以及预设大数据分析模型生成控制规则和控制参数，并将生成的所述控制规则和控制参数发送给所述空调；所述空调执行所述服务器发送给所述空调的控制规则和控制参数。
附图说明
为了更清楚地说明本公开实施例的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍。
图1本公开的一些实施例提供的设备控制方法流程示意图；
图2为本公开的一些实施例提供的一种包括空调的系统的示意图；
图3为本公开的一些实施例提供的一种控制方法的流程示意图；
图4为本公开的一些实施例提供的另一种包括空调的系统的示意图；
图5为本公开的一些实施例提供的再一种空调的控制方法的流程示意图；
图6为本公开的一些实施例提供的另一种空调的控制方法的流程示意图；
图7为本公开的一些实施例提供的又一种空调的控制方法的流程示意图；
图8为本公开的一些实施例提供的又一种空调的控制方法的流程示意图；
图9为本公开的一些实施例提供的一种空调的结构示意图；
图10为本公开的一些实施例提供的服务器的结构示意图。
具体实施方式
下面结合附图，对本公开的实施例进行描述。
本公开的一些实施例提供了一种设备控制方法，如图1所示，该控制方法包括：
S10、获取设备的应用信息，并将所述设备的应用信息发送给服务器，所述设备的应用信息包括设备的地理位置信息、用户信息以及室内外环境信息；
S20、获取来自所述服务器响应于所述应用信息而发送的控制策略；
S30、所述设备执行所述控制策略。
所述控制策略包括控制设备运行所需要的或改进设备控制所需要的控制规则和控制参数，其中，所述控制规则包括但不限于控制设备运行的逻辑或其中的部分逻辑(改进设备运行控制所需要的一般是部分控制逻辑)；所述控制参数包括但不限于设备按上述逻辑运行所需要的参数。在一些实施例中控制规则包括运行频率、出风控制、加湿控制、按键规则或界面显示规则中的至少一种，在一些实施例中案件规则包括按键表征的指令和/或按键的排布方式，显示规则包括显示屏幕上显示窗口的布局，显示亮度，字体大小等显示参数的至少一种。
所述设备的应用信息指与制定或改进设备的控制策略相关的信息，包括但不限于设备的地理位置信息、设备的室内外环境信息以及设备的操作者即用户的个人信息(即用户信息)。另外，还可包括设备本身的运行参数信息。例如，用户通过点击遥控器上的按键或移动终端(例如手机)上的应用中的图标，控制所述设备将应用信息由例如该设备将发送给服务器，还可以是设备将这些应用信息通过局域网或近场通信传输给移动终端，移动终端上传给服务器。服务器接收应用信息，基于所述设备的应用信息而生成一种新的控制策略并发送给设备。设备执行新的控制策略，即执行新的控制规则和控制参数，从而设备在新的控制方法下运行。如果设备上存在原 有控制规则和控制参数，则设备上的原有控制规则和控制参数被覆盖。
在一些实施例中,所述服务器根据所述设备的应用信息匹配出相应的所述控制规则和控制参数。例如所述控制规则和控制参数可基于所述设备上传的应用信息进行大数据分析，根据不同地区的外部环境以及用户的个性化需求而制定相应的控制规则和控制参数。例如，如果设备是电视等多媒体终端，服务器基于设备上传的应用信息，分析得出用户是中产阶级的家庭，并且家中的主妇使用时间较多，大数据分析得到该中产阶级的家庭主妇一般对哪些品牌的产品、对那些影视资料感兴趣，以及操作习惯等，服务器生成相应的控制规则和控制参数，使电视等多媒体终端可以符合用户操作习惯，并筛选以及推送用户可能感兴趣的相应内容。
本公开的设备控制方法，设备上运行的控制策略基于所述设备上传的应用信息而生成，例如用于实现新的控制策略的所述控制规则和控制参数可通过对所述设备的应用信息进行大数据分析，根据不同地区的外部环境以及用户的个性化需求而制定控制规则和控制参数，因此，可以根据设备使用时的不同地理位置、用户以及室内外环境来调整控制规则和控制参数，实现了动态、个性化地调整设备的控制规则和控制参数。下文中将结合实施例进行进一步地说明。
所述服务器根据所述设备的应用信息进行大数据分析，并进行深度学习得到所述控制规则和控制参数。例如，所述服务器通过使用人工智能、大数据技术、物联网技术，能够实现针对不同的用户，根据不同地区的外部环境，科学地制定或改进设备的控制规则和控制参数，实现对设备的功能的自定义设置。
在一些实施例中，设备在接收到服务器发送的控制规则和控制参数后，该控制方法还包括：接收用户对所述控制策略的修改；所述设备执行修改后的控制策略。例如，从所述服务器接收的控制规则和控制参数可以以特定的方式呈现给用户(例如视频信息，图片信息，声音信息等)作为推荐的控制规则和控制参数，在用户不满意这些控制规则和控制参数的时候，用户也可以自行修改控制规则和控制参数，从而用户可以自定义设备的控制策略。
在一些实施例中，所述控制规则和控制参数包括调整显示相关 的显示规则和显示控制参数。
所述显示规则例如包括按键规则和/或界面显示规则，因此在一些实施例中，该控制方法中还包括：从所述服务器接收至少一个按键规则或界面显示规则，其中，所述按键规则和所述界面显示规则基于对所述设备的应用信息进行的大数据分析的结果而生成。例如，如果用户为年龄超过65岁的老年人，且根据大数据分析65岁的老年人眼睛老化、耳聋概率较大，则确定的按键规则和界面显示规则包括显示较大的按键，界面显示使用更大字体或更高清晰度，较大音量。
下面以空调为例，对上述控制方法以及控制规则和控制参数的调整方法进行示例性描述。
本公开一些实施例提供了一种包括空调的系统，参照图2中所示，该系统包括空调11和服务器12。空调11被配置为将空调的应用信息发送给服务器，并执行服务器12发送给空调11的控制规则和控制参数；所述空调11的应用信息包括空调11的地理位置信息、用户信息或室内外环境信息中的至少一种；服务器12被配置为根据接收到的所述应用信息以及预设大数据分析模型生成控制规则和控制参数，并将生成的所述控制规则和控制参数发送给空调11。
空调11包括空调主体和作为空调附件的输入装置(例如遥控器或安装有对应APP的手机)，空调可以通过输入装置来采集使用该空调的用户的个人信息(例如用户是儿童、孕妇、老年人、成年人等的信息)。在一些实施例中，通过作为空调附件的输入装置采集用户的个人信息，例如通过空调遥控器接收用户输入的个人信息。空调11还可以获取其所在区域的地理位置信息，例如可以通过互联网协议(Internet Protocol，IP)地址判断空调11位置所属地区，或通过内置的定位芯片来获取所处的位置信息。空调11还可以通过传感器采集室内外环境参数，所述室内外环境参数例如可包括温度、湿度、PM2.5值、负氧离子含量等。例如，通过空调11设置有诸如用于测量温度的温度传感器、用于测量湿度的湿度传感器、用于监测PM2.5的灰尘传感器等传感器中的至少一种。传感器采集室内外环境参数，这些传感器测量数据作为设备应用信息的一部分可用于服务器为空调11制定的控制规则和控制参数的制定提供参考。
空调11将包括但不限于上述信息的应用信息发送给服务器12，由服务器根据接收到的所述应用信息以及预设大数据分析模型生成控制规则和控制参数。
所述预设大数据分析模型包括根据接收到的所述应用信息生成代表新控制策略的控制规则和控制参数的逻辑或方法，即所述预设大数据分析模型可以建立应用信息到新控制策略的对应关系。例如，所述预设大数据分析模型可以通过软件编程的方法实现。
在一些实施例中，由服务器进行数据分类并存储，然后通过大数据分析对上述接收到的数据进行分析，并利用深度学习确定最佳的控制规则和控制参数，最后将控制规则和控制参数发送给空调11用于执行，其中大数据分析可以是对本用户的历史数据(应用信息、控制规则、控制参数的对应关系)和/或其他用户的数据(应用信息、控制规则、控制参数的对应关系)的大数据分析，最终匹配出应用信息对应的最佳控制规则和控制参数。
在一些实施例中，空调11还被配置为将修改后的控制规则和控制参数发送给服务器12；服务器12还用于根据所述应用信息和所述修改后的控制规则和控制参数调整所述大数据分析模型。
服务器制定出的控制规则和控制参数可能不能完全符合用户的需求，因此空调11还允许用户自定义控制规则和控制参数，通过输入装置和空调主体的相应的控制电路实现对空调11的控制，空调的控制软件加载用户调整后的控制规则和控制参数运行。用户修改后的控制规则和控制参数作为反映用户操作习惯的历史数据反馈给服务器，服务器据此调整所述大数据分析模型，在后续再针对该用户制定控制策略时，将会考虑这些反映用户操作习惯的历史数据。
本公开的一些实施例提供了一种控制方法，应用于上述系统，参照图3中所示，该方法包括：
S101、获取空调的应用信息，空调的应用信息包括地理位置信息、用户信息以及室内外环境信息中的至少一项。
关于空调的地理位置信息、用户信息以及室内外环境信息的描述，可以参照上文关于空调系统的描述，在此不再赘述。
S102、空调将应用信息发送给服务器。
S103、服务器从空调接收应用信息。
S104、所述服务器根据接收到的应用信息以及预设大数据分析模型生成控制规则和控制参数。
服务器根据地理位置信息、用户信息以及室内外环境信息等应用信息匹配出相应的控制规则和控制参数。
服务器可以进行大数据分析并进行深度学习，例如通过对本用户的历史数据(应用信息、控制规则、控制参数的对应关系)和/或其他用户的数据(应用信息、控制规则、控制参数的对应关系)进行大数据分析，并进行深度学习和建模，最终为每一组应用信息匹配出最佳控制规则和控制参数。
大数据分析，指对规模巨大的数据进行分析。大数据指无法在一定时间范围内用常规软件工具进行捕捉、管理和处理的数据集合，是需要通过新处理模式才能分析的海量、高增长率和多样化的信息资产。
深度学习是机器学习研究中的一个新的领域，其动机在于建立、模拟人脑进行分析学习的神经网络，其模仿人脑的机制来解释数据。
例如,对于中东地区和欧洲地区，中东地区室内外的昼夜温差大，欧洲地区室内外的昼夜温差小，这两个地区的大数据可以代表当地人习惯的控制规则和控制参数。又例如对于老人和成年人，由于体质原因老人夏天制冷温度和冬天制热温度都不能太低，因此对于这两种人群来说其习惯的控制规则和控制参数也不相同。
在一些实施例中，对于具体的控制规则和控制参数，例如在除湿控制模式下，控制器默认设定湿度值为50％RH，设定湿度不可调；默认设定风速可调，最高频率为53Hz，最低频率22Hz；风速与压机最高频率的关系为高风53Hz，中风48Hz，低风40Hz。服务器可以通过数据归纳，分析得到每组应用数据对应的具体控制规则和控制参数，利用具体控制规则和控制参数对空调进行进行更改后。在一些实施情境中，用户可以在APP选择：人群、地区、时间等选项，然后在用户确定后将这些信息作为应用信息的一部分上传至服务器，服务器可以产生空调可编程控制规则文件或者文件链接，通过多种 方式加载到空调的控制软件上。其中，人群可以对应用户信息，用户信息可以基于年龄，性别，生理信息(例如怀孕与否，是否处于生理期，是否属于怕热/怕冷体质等)将用户分成不同的人群，一些实施例中，人群对应的选项可以包括：儿童，老人，孕妇，生理期期间，怕热体质等。地区是指空调器所位于的地理位置。
S105、服务器将相应的控制规则和控制参数发送给空调。
在一些实施例中，控制规则和控制参数可以以规则文件的形式下发给空调，该文件可以包括引导区、规则区和参数区，其中，引导区即用于存储有握手协议，用于空调与服务器之间进行握手协商以验证内容合法有效，规则区用于存储控制规则，参数区用于存储控制参数。
另外，本公开中并不限定必须由服务器直接通过网络(例如有线或无线)将控制规则和控制参数发送给空调，还可以由用户、销售人员、售后人员等通过专用工装或U盘等存储中介的方式通过空调电路板上的通信接口将控制规则和控制参数下载至空调。另外，还可以由服务器直接通过网络(例如有线或无线)将控制规则和控制参数发送给一个终端，例如用户手机，再由终端加载至空调，或更具体地加载至空调的控制部件上。
一些实施方式中，参照图4所示，用户、销售人员、售后人员等可以通过在终端13上的APP或个人电脑(Personal Computer)等上进行操作，例如通过网址链接控制服务器12，将控制规则和控制参数下载至空调11。
S106、空调接收来自服务器的控制规则和控制参数。
S107、空调执行控制规则和控制参数。
本公开的实施例提供的控制方法，服务器可以根据不同地理位置、用户以及室内外环境来调整空调的控制规则和控制参数，实现了动态调整空调的控制规则和控制参数。空调采集的具体是那些应用信息以及服务器具体采用何种方式来确定控制规则和控制参数，并不影响本公开上述方案的实施。
为满足用户的个性化需求，参照图5中所示，该方法还可以包括：
S201、空调接收用户对控制规则和控制参数的修改。
例如，用户可以在输入装置，例如终端的APP进行修改，可选择的内容通过选择项或者参数的方式来提供。可修改的控制规则和控制参数更加具体，使得用户有更大自由度来制定符合自己需求的控制规则和控制参数。例如，可以修改默认设定风速可调，最高频率为100Hz，最低频率5Hz。在一些实施例中，通过空调遥控器接收用户对控制规则和控制参数的修改。
S202、空调执行修改后的控制规则和控制参数。
在服务器接收到地理位置信息、用户信息以及室内外环境信息之后，参照图6中所示，该方法还可以包括：
S301、服务器根据地理位置信息、用户信息匹配出相应的按键规则或界面显示规则。
例如，地理位置信息显示空调在中东地区被使用，大数据分析这个地区通常使用阿拉伯语，这样，可实现对于处于中东地区的空调，在空调或遥控器的显示界面优先以阿拉伯语显示。如果进一步的大数据分析，空调所在地对应中东地区中的华人聚居区，则空调或遥控器的显示界面可以优先显示汉语，或者显示阿拉伯语和汉语，以供用户选择。对于老人用户，显示界面可以以大多数老人用户习惯使用的更大字体或更高清晰度显示。另外，可以按照大数据分析的当地多数人习惯的按键方式来设定按键规则，以防止原厂设定不符合当地用户使用习惯。其中，显示规则包括但不限于：显示的语言，显示的图形界面，显示的字体大小，显示的清晰度。按键的规则可以包括但不限于：按键的布局，按键的排布次序，按键对应的操作指令函数等。在一些实施例中，按键规则或界面显示规则可以作为控制规则的一部分，也可以在控制规则之外作为以单独控制的一部分，作为单独控制的一部分时控制规则包含运行频率、出风控制、加湿控制中的至少一个，但是不包括按键规则或界面显示规则。
S302、空调从服务器接收按键规则或界面显示规则。
S303、空调执行上述按键规则或界面显示规则。
为满足用户的个性化需求，参照图7中所示，该方法还可以包括：
S401、空调接收用户对按键规则或界面显示规则的修改。
除了服务器推荐使用的按键规则或界面显示规则，用户也可以根据自己的使用习惯通过输入装置对其进行修改。
S402、空调执行修改后的按键规则或界面显示规则。
下面对从空调初始化开始的处理流程进行描述，参照图8中所示，整个空调处理流程包括：
S501、空调操作系统初始化。
S502、响应于服务器下发了新的按键规则，执行服务器下发的按键规则；响应于服务器未下发新的按键规则，执行原按键规则。
S503、响应于服务器下发了新的控制规则和控制参数，执行服务器下发的控制规则和控制参数；响应于服务器未下发新的控制规则和控制参数，执行原控制规则和控制参数。
S504、响应于服务器下发了新的界面显示规则，执行服务器下发的界面显示规则；响应于服务器未下发新的界面显示规则，执行原界面显示规则。
本公开的一些实施例提供了一种空调，可应用于上述系统或用以执行上述控制方法，空调包括空调主体和输入装置，空调主体包括室内机和室外机，参照图9中所示，该空调11还包括：采集器1101、第一发送器1102、第一处理器1103和第一接收器1104。采集器1101可以设置在空调主体上，也可以设置在输入装置上，还可以部分设置在空调主体上部分设置在输入装置上。第一发送器1102和第一处理器1103可以参照采集器1101设置。
采集器1101配置为获取设备的应用信息，所述设备的应用信息包括设备所在地的地理位置信息、用户信息和室内外环境信息中的至少一项。
在一些实施例中采集器包括用于测量温度的温度传感器、用于测量湿度的湿度传感器、用于监测PM2.5的灰尘传感器等，还包括设置在输入装置上的触控屏幕或按键等，用户可以通过输入装置上 的触控屏幕或按键输入用户信息(例如用户的个人信息：年龄、性别、所属人群等)、地理位置信息中的任意一种或多种，当然，地理位置信息也可以通过位置定位电路来获取，空调周围的温度，湿度，PM2.5，室外温度等可以作为室内外环境参数。在一些实施例中，室内外环境参数中相同检测内容的检测值之间的差值会被服务器用于控制规则和控制参数的生成。
第一发送器1102配置为将采集器1101获取的设备的应用信息，即地理位置信息、用户信息以及室内外环境信息等发送给服务器。
第一发送器1102可以是设置在空调主体上也可以设置在输入装置中，在一些实施例中，第一发送器为一上行信息传输电路，上行信息传输电路可以是WIFI电路，蓝牙电路、近场通信电路或有线网络信号发送电路中的上行电路，对于采集器1101采集到的信息，经空调内的处理器处理后，经第一发送器1102发送给服务器。以WIFI电路为例，空调主体通过家庭网关和作为输入装置的手机相连接，空调主体和手机位于同一局域网内，位于局域网外部的服务器通过有线/无线网络与家庭网关连接(也可以直接和手机建立网络连接)；位于空调主体上温度传感器，湿度传感器，灰尘传感器，将采集到的信息通过局域网发送给手机，手机作为输入装置接收用户输入的用户信息和地理位置信息，猴急中的处理器将包含温度、湿度、PM2.5值、地理位置和用户信息的应用信息通过家庭网关发送给服务器。处理器也可以位于空调主体上，直接和家庭网关连接。
第一接收器1104配置为获取来自服务器响应于所述应用信息而发送的控制规则和控制参数。其中，所述控制规则和控制参数基于所述设备的应用信息而生成。在一些实施例中，第一接收器1104为一下行信息传输电路，下行信息传输电路可以是WIFI电路，蓝牙电路、近场通信电路或有线网络信号发送电路中的下行电路，下行信息传输电路将接收到的控制规则和控制参数传输给空调的处理器，其中，控制规则和控制参数是服务器响应于应用信息生成的。控制规则和控制参数包括空调的运行的风速参数，风向参数，温度参数，室外机工作频率，表征各时间点的温度的温度曲线，各时间点的风向曲线，各时间点的风速曲线，各时间点的室外机工作频率， 风速与室外机工作频率的对应曲线等。
第一处理器1103配置为执行第一接收器1104获取的控制规则和控制参数。
为满足用户个性化的需求，在一种可能的实施方式中，空调还接收用户对控制规则和控制参数的修改；示例性的，在空调执行服务器下发的控制规则和控制参数后，用户认为仍然不能满足自己的需求，用户通过输入装置上的触摸屏或按键对控制规则和控制参数进行调整。第一处理器1103，还用于执行修改后的控制规则和控制参数。在一些实施例中，空调还会将用户调整后的控制规则和控制参数上传给服务器，服务器分析用户调整后的控制规则和控制参数与之前服务器下发的控制规则和控制参数，来对大数据分析模型进行修正或调整。在一些实施例中，用户本次上传的应用信息也会用于大数据分析模型的修正或调整。
在一种可能的实施方式中，空调主体或输入装置上设置有显示屏以及触控按键或实体按键，所述控制规则包括:按键规则和/或界面显示规则，空调还用于从服务器接收按键规则或界面显示规则，其中，按键规则或界面显示规则是服务器根据空调上传的应用信息匹配得到的。空调还用于执行服务器下发的按键规则或界面显示规则。如果空调主体或输入装置上设置有显示屏幕，对于高龄人群，有加大概率需要提升显示的亮度，和/或显示字体的大小，因此服务器在输入控制规则和控制参数的时，还可以将按键规则或界面显示规则参数发送给空调。
在一种可能的实施方式中，空调还用于接收用户对按键规则或界面显示规则的修改；空调还用于执行修改后的按键规则或界面显示规则。在一些实施方式中用户可以通过输入装置调整空调的按键规则和界面显示规则，例如，在空调根据服务器下发的按键规则和界面显示规则进行了修改，用户认为仍然不能满足自己的需求，用户通过输入装置上的触摸屏或按键对按键规则和界面显示规则进行调整。在一些实施例中，空调还会将用户调整后的按键规则和界面显示规则上传给服务器，服务器分析用户调整后的按键规则和界面显示规则与之前服务器下发的按键规则和界面显示规则之间的差异，来对大数据分析模型进行修正或调整。
由于本公开实施例中的空调可以应用于上述方法，因此，其所能获得的技术效果也可参考上述方法实施例，本公开实施例在此不再赘述。
需要说明的是，采集器、第一处理器、第一接收器和第一发送器可以为单独设立的部件，也可以其中一个或多个集成在一起。第一处理器可以由单独的处理器实现，也可以由多个处理器共同实现，此外，上述控制方法也可以以程序代码的形式存储于控制器的存储器中，由控制器的某一个处理器调用并执行以上各单元的功能。这里的处理器可以是一个中央处理器(Central Processing Unit，CPU)，或者是特定集成电路(Application Specific Integrated Circuit，ASIC)，或者是被配置成实施本公开实施例的一个或多个集成电路。
本公开提供了一种服务器，用于实现上述控制规则和控制参数的调整方法，参照图10中所示，该服务器12包括：第二接收器1201、第二处理器1202和第二发送器1203。
第二接收器1201配置为从设备例如空调，接收设备的应用信息，所述设备的应用信息包括地理位置信息、用户信息以及室内外环境信息中的至少一项。
第二处理器1202配置为基于所述设备的应用信息生成相应的控制规则和控制参数(代表新的控制策略)；例如，第二处理器1202配置为对设备地理位置信息、用户信息以及室内外环境信息等应用信息进行大数据分析，并进行深度学习以确定相应的控制规则和控制参数。第二处理器1202还用于接收其他空调用户的控制规则和控制参数以及对应该控制规则和控制参数的应用信息，和/或用户历史上本用户的控制规则和控制参数以及对应该控制规则和控制参数的应用信息，通过对这些信息进行大数据分析，和深度学习来构建应用信息与控制规则和控制参数对应关系的模型，该模型用于在服务器接收到用户上传的应用信息后，输出与该上传的应用信息对应的控制规则和控制参数。
第二发送器1203配置为将第二处理器1202生成的控制规则和控制参数发送给设备。
在一些实施例中，所述第二接收器1201还被配置为接收空调发送的用户修改后的控制规则和控制参数；所述第二处理器1202还被配置为根据所述应用信息和所述用户修改后的控制规则和控制参数调整所述大数据分析模型。
由于本公开实施例中的服务器可以应用于上述方法，因此，其所能获得的技术效果也可参考上述方法实施例，本公开实施例在此不再赘述。
基于所述设备的应用信息生成相应的控制规则和控制参数，可以在单独设立的一个或多个处理器，或者集成在控制器的某一个或多个处理器中实现。此外，也可以以程序代码的形式存储于控制器的存储器中，由控制器的某一个处理器调用并执行以上各单元的功能。这里的处理器可以是一个中央处理器(Central Processing Unit，CPU)，或者是特定集成电路(Application Specific Integrated Circuit，ASIC)，或者是被配置成实施本公开实施例的一个或多个集成电路。
在本公开的各种实施例中，上述各过程的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本公开实施例的实施过程构成任何限定。
在上述实施方式的描述中，具体特征、结构、材料或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本公开的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本公开所提供的几个实施例中，应该理解到，所揭露的系统、设备和方法，可以通过其它的方式实现。例如，以上所描述的设备 实施例仅仅是示意性的，例如，所述功能性单元、部件的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，设备或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本公开各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
以上所述，仅为本公开的具体实施方式，但本公开的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本公开揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本公开的保护范围之内。因此，本公开的保护范围应以所述权利要求的保护范围为准。

Claims (15)

  1. 一种控制系统，包括服务器和空调：其中，
    所述空调被配置为将所述空调的应用信息发送给服务器，并执行所述服务器发送给所述空调的控制规则和控制参数；所述空调的应用信息包括所述空调的地理位置信息、用户信息或室内外环境信息中的至少一种；
    所述服务器被配置为根据接收到的所述应用信息以及预设大数据分析模型生成控制规则和控制参数，并将生成的所述控制规则和控制参数发送给所述空调。
  2. 如权利要求1所述的控制系统，其中，
    所述空调还被配置为接收用户对所述控制规则和控制参数的修改，并执行修改后的控制规则和控制参数。
  3. 如权利要求2所述的控制系统，其中，
    所述空调还被配置为将修改后的控制规则和控制参数发送给所述服务器；
    所述服务器还用于根据所述应用信息和所述修改后的控制规则和控制参数调整所述大数据分析模型。
  4. 如权利要求1所述的控制系统，其中，
    所述控制规则包括：按键规则或界面显示规则。
  5. 如权利要求4所述的控制系统，其中，
    所述空调还被配置为接收用户对所述按键规则或界面显示规则的修改，并执行修改后的按键规则或界面显示规则。
  6. 如权利要求5所述的控制系统，其中，
    所述空调还被配置为将修改后的按键规则或界面显示规则发送给所述服务器；
    所述服务器还用于根据所述应用信息和所述修改后的按键规则或界面显示规则调整所述大数据分析模型。
  7. 一种空调，与服务器通信连接，其中，所述空调包括采集器，第一处理器，第一发送器，第一接收器，
    所述采集器被配置为，采集应用信息，所述应用信息包括地理位置信息、用户信息或室内外环境信息中的至少一种；
    所述第一发送器被配置为将所述应用信息发送给服务器；
    所述第一接收器被配置为接收所述服务器发送的控制规则和控制参数，其中所述控制规则和控制参数为所述服务器响应于所述控制规则和控制参数生成的；
    所述第一处理器被配置为执行所述控制规则和控制参数。
  8. 如权利要求7所述的空调，其中，所述空调还包括输入装置；
    所述输入装置被配置为接收用户对所述控制规则和控制参数的修改；
    所述第一处理器执行所述修改后的控制规则和控制参数。
  9. 如权利要求8所述的空调，其中，
    所述第一发送器还被配置为将所述修改后的控制规则和控制参数发送给服务器。
  10. 如权利要求7所述的空调，其中，
    所述控制规则包括按键规则或界面显示规则。
  11. 一种服务器，与空调通信连接，其中，所述服务器包括第二接收器，第二处理器，第二发送器，
    所述第二接收器被配置为接收所述空调发送的应用信息，所述应用信息包括地理位置信息、用户信息或室内外环境信息中的至少一种；
    所述第二处理器被配置为根据接收到的所述应用信息以及预设大数据分析模型生成控制规则和控制参数；
    所述第二发送器被配置为将所述控制规则和控制参数发送给所述空调。
  12. 如权利要求11所述的服务器，其中，
    所述第二接收器还被配置为接收所述空调发送的用户修改后的控制规则和控制参数；
    所述第二处理器还被配置为根据所述应用信息和所述用户修改后的控制规则和控制参数调整所述大数据分析模型。
  13. 一种控制方法，用于包括服务器和空调的系统，其中，所述控制方法包括：
    所述空调将应用信息发送给服务器；所述应用信息包括所述空调的地理位置信息、用户信息或室内外环境信息中的至少一种；
    所述服务器根据接收到的所述应用信息以及预设大数据分析模型生成控制规则和控制参数，并将生成的所述控制规则和控制参数发送给所述空调；
    所述空调执行所述服务器发送给所述空调的控制规则和控制参数。
  14. 如权利要求13所述的控制方法，其中，还包括：
    所述空调接收用户对所述控制规则和控制参数的修改；
    所述空调执行修改后的控制规则和控制参数。
  15. 如权利要求14所述的控制方法，其中，还包括：
    所述空调将修改后的控制规则和控制参数发送给所述服务器；
    所述服务器根据所述应用信息和所述修改后的控制规则和控制参数调整所述大数据分析模型。
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