WO2018072490A1 - 一种智能家电的控制方法、装置及存储介质 - Google Patents

一种智能家电的控制方法、装置及存储介质 Download PDF

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Publication number
WO2018072490A1
WO2018072490A1 PCT/CN2017/092839 CN2017092839W WO2018072490A1 WO 2018072490 A1 WO2018072490 A1 WO 2018072490A1 CN 2017092839 W CN2017092839 W CN 2017092839W WO 2018072490 A1 WO2018072490 A1 WO 2018072490A1
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Prior art keywords
environmental factor
data
change trend
change
home appliance
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PCT/CN2017/092839
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English (en)
French (fr)
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李贺
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中兴通讯股份有限公司
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Publication of WO2018072490A1 publication Critical patent/WO2018072490A1/zh

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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]
    • G05B19/4183Total 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] characterised by data acquisition, e.g. workpiece identification
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems controlled by a computer electric
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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]

Definitions

  • the present disclosure relates to the field of smart home technology, and in particular, to a control method, device, and storage medium for a smart home appliance.
  • wearable devices There are many smart wearable devices on the market. Through wearable devices, users can record fitness data, sleep conditions, vital signs data, diet conditions, voice data, image data, etc. in daily life, and can record wearable devices.
  • the data is synchronized to the mobile terminal and displayed in the mobile terminal to guide the user's healthy life through the data.
  • the data recorded by the relevant wearable device can only serve as a reference, and does not achieve the effect of improving the user's comfort experience, and has no practicality; the related wearable device can only record the user's data, and the data screening needs to be in the data.
  • the user After being synchronized to the mobile terminal, the user operates through the mobile terminal. Due to the complicated operation process, the user has poor real-time data after the obtained screening data.
  • the present disclosure provides a method, a device, and a storage medium for controlling a smart home appliance, which are used to solve the problem that the data recorded by the related wearable device serves only as a reference and does not have practicality.
  • the present disclosure provides a method for controlling a smart home appliance, the step of performing on the wearable device side, comprising: detecting current data of an environmental factor; comparing current data of the environmental factor with pre-stored initial data of the environmental factor Determining the change trend data of the environmental factor; transmitting the change trend data of the environmental factor to the control device, so that the control device controls the smart home appliance in the user environment according to the change trend data of the environmental factor.
  • the change trend data includes: a difference difference between current data of the environmental factor and initial data of the environmental factor.
  • the sending the change trend data of the environmental factor to the control device includes: when the absolute value of the change value of the environmental factor is greater than a preset change threshold, sending the change difference of the environmental factor to the control device.
  • the present disclosure provides a method for controlling a smart home appliance, the step of performing on the control device side, comprising: receiving change trend data of an environmental factor sent by the wearable device; querying the smart home appliance associated with the environmental factor; according to the change trend Data, generating a control command for controlling the smart home appliance; and transmitting the control command to the smart home appliance to control the smart home appliance.
  • the change trend data includes: a difference difference between current data of the environmental factor and initial data of the environmental factor.
  • generating, according to the change trend data, a control instruction for controlling the smart home appliance including: determining, according to the change trend data, a change trend and/or a change amount of the environmental factor; determining according to the change trend An instruction function; generating a control instruction according to the amount of change and the instruction function.
  • Receiving the change trend data of the environmental factor sent by the wearable device including: receiving key value pair information sent by the wearable device; acquiring information of the environmental factor and the change trend data of the environmental factor in the key value pair information
  • the key value pair information includes a key and a value two-part information
  • the key in the key value pair information is information of the environmental factor
  • the value in the key value pair information is the change trend data.
  • the present disclosure provides a control device for a smart home appliance, which is disposed on the wearable device side, and includes: a detecting module configured to detect current data of an environmental factor; and a comparing module configured to set current data of the environmental factor and a pre-stored device The initial data of the environmental factors are compared to determine the trend trend data of the environmental factor; the sending module is set to change the trend of the environmental factor The data is sent to the control device such that the control device controls the smart home appliance in the user environment according to the trend trend data of the environmental factor.
  • the change trend data includes: a difference difference between current data of the environmental factor and initial data of the environmental factor.
  • the sending module is configured to: when the absolute value of the change value of the environmental factor is greater than a preset change threshold, send the change difference of the environmental factor to the control device.
  • the sending module is configured to send, by using the key value pair information, the change trend data of the environmental factor to the control device; wherein the key value pair information includes a key and a value, and the environmental factor The information is used as a key in the key value pair information, and the change trend data is used as a value in the key value pair information.
  • the present disclosure further provides a control device for a smart home appliance, which is disposed on the control device side, and includes: a receiving module configured to receive change trend data of an environmental factor sent by the wearable device; and a query module configured to query the environment factor association a smart appliance; a generating module configured to generate a control command for controlling the smart home appliance according to the change trend data; and a control module configured to send the control command to the smart home appliance to control the smart Home appliances.
  • the change trend data includes: a difference difference between current data of the environmental factor and initial data of the environmental factor.
  • the generating module is configured to determine a change trend and/or a change amount of the environmental factor according to the change trend data; determine an instruction function according to the change trend; and according to the change amount and the instruction function, Generate control instructions.
  • the receiving module is configured to receive key value pair information sent by the wearable device, obtain information of an environmental factor and change trend data of the environmental factor in the key value pair information, where the key value pair
  • the information includes key and value two-part information, the key in the key-value pair information is information of the environmental factor, and the value in the key-value pair information is the change trend data.
  • the present disclosure also provides a storage medium, which may store execution instructions, The execution instruction is used to execute the control method of the smart home appliance in the above embodiment.
  • the present disclosure acquires data of an environmental factor through a wearable device and compares it with the initial data, so that the control device controls the smart home appliance in the smart home environment according to the change of the environmental factor, so that the user is always in a comfortable environment, and the data detected by the wearable device is made. Practical, enhance user experience.
  • FIG. 1 is a flowchart of a method of controlling a smart home appliance according to a first embodiment of the present disclosure
  • FIG. 2 is a flowchart of a control method of a smart home appliance according to a second embodiment of the present disclosure
  • FIG. 3 is a configuration diagram of a control system of a smart home appliance according to a third embodiment of the present disclosure.
  • FIG. 4 is a specific flowchart of a method of controlling a smart home appliance according to a third embodiment of the present disclosure
  • FIG. 5 is an adapter mode class diagram according to a third embodiment of the present disclosure.
  • FIG. 6 is a pseudo code diagram of an adapter mode in accordance with a third embodiment of the present disclosure.
  • FIG. 7 is a configuration diagram of a control device of a smart home appliance according to a fourth embodiment of the present disclosure.
  • FIG. 8 is a configuration diagram of a control device of a smart home appliance according to a fifth embodiment of the present disclosure.
  • the purpose of the present disclosure is to automatically transmit the effective data to the control device in real time by using the wearable device to automatically sense the environmental change, and the control device controls the smart home appliance according to the data to improve the user's home life experience.
  • the disclosure can make good use of the data that the wearable device detects the environmental factor, and improve the practicability and real-time of the data.
  • a wearable device is a device that a user can wear.
  • Wearable devices include, but are not limited to, smart watches, smart wristbands, smart glasses, and smart sports shoes.
  • control device includes, but is not limited to, a mobile terminal.
  • a mobile terminal For example: smartphone.
  • the embodiment provides a control method of a smart home appliance executed on the wearable device side.
  • 1 is a flowchart of a control method of a smart home appliance according to a first embodiment of the present disclosure.
  • Step S110 detecting current data of the environmental factor.
  • Environmental factors include: indoor temperature, indoor humidity, body surface temperature, and sleep conditions. Sleep conditions can be analyzed by detecting the user's heartbeat, pulse, blood pressure, and the like. The current data for sleep conditions are the sleep state and the awake state.
  • the current data of the environmental factor can be detected every predetermined time period.
  • Step S120 comparing current data of the environmental factor with pre-stored initial data of the environmental factor, and determining trend trend data of the environmental factor.
  • the initial data of the environmental factor is preset and stored.
  • the data of the environmental factor in the most comfortable state of the user is set as the initial data.
  • This most comfortable state can be determined by the user.
  • the initial data of the indoor temperature is 25 ° C
  • the initial data of the indoor humidity is 55%
  • the initial data of the body surface temperature is 36.7 ° C
  • the initial data of the sleep condition is the awake state.
  • the trend data is based on the initial data of the environmental factor, the current data of the environmental factor being changed relative to the initial data.
  • the initial data of the sleep condition is the awake state
  • the current data is the sleep state
  • the trend data of the sleep situation is falling asleep.
  • the initial temperature of the indoor temperature is 25 ° C
  • the current data is 30 ° C
  • the trend data of the indoor temperature is increased.
  • the change trend data may include: a difference between the current data of the environmental factor and the initial data of the environmental factor (the current data minus the initial data is equal to the change difference) .
  • the initial data of the indoor temperature is 25 ° C
  • the current data is 20 ° C
  • Step S130 Send the trend trend data of the environmental factor to the control device, so that the control device controls the smart home appliance in the user environment according to the trend trend data of the environment factor.
  • the change threshold is an experimental value or a value set by the user.
  • the absolute value of the change in the environmental factor is less than or equal to the change threshold, indicating that the user is in a relatively comfortable environment, and conversely, the user may feel uncomfortable.
  • the wearable device Before transmitting the change trend data of the environmental factor to the control device, the wearable device establishes a communication connection with the control device by using a preset communication manner.
  • the communication methods include but are not limited to: Bluetooth, Infrared, WiFi (Wireless Fidelity).
  • the change trend data of the environmental factor may be sent to the control device by the key value pair information.
  • the key-value pair information includes two parts of the key and the value.
  • the form of the key-value pair information is ⁇ Key, Value>, Key is a key, and Value is a value.
  • the information of the environmental factor is used as the key Key in the key value pair information, and the change trend data is used as the value Value in the key value pair information.
  • the information of the environmental factor is the name or ID (encoding) of the environmental factor.
  • the environmental factor is the indoor temperature
  • the trend data is -5 ° C
  • the key value pair information is ⁇ indoor temperature, -5 ° C>.
  • the environment is the sleep situation
  • the change trend data is in the sleep state
  • the key value pair information is ⁇ sleep condition, falling into sleep state>.
  • the data of the environmental factor is obtained by the wearable device and compared with the initial data, so that the control device controls the smart home appliance in the smart home environment according to the change of the environmental factor, so that the user is always in a comfortable environment.
  • the wearable device notifies the control device in time when the data of the environmental factor exceeds the threshold range, so that the control device sends a control command to the smart home appliance in time, so that the data detected by the wearable device has practicality, which is beneficial to improving the user's home life experience.
  • the embodiment provides a control method of a smart home appliance executed on a control device side.
  • 2 is a flowchart of a control method of a smart home appliance according to a second embodiment of the present disclosure.
  • Step S210 Receive change trend data of an environmental factor sent by the wearable device.
  • the key value pair information includes a key and a value two-part information, the key in the key value pair information is information of the environmental factor, and the value in the key value pair information is the change trend data.
  • the trend trend data of the environmental factor sent by the wearable device can be received every predetermined period of time, and the embodiment is executed only once every time it is received.
  • Step S220 querying the smart home appliance associated with the environmental factor.
  • Smart home appliances include: smart air conditioners, electric heaters, humidifiers, smart lights, etc. in smart home environments.
  • Smart appliances associated with each environmental factor are pre-set. For example: indoor temperature associated intelligent air conditioners and electric heaters, indoor humidity management humidifiers, sleep management smart lights.
  • the smart home appliance association table can be set according to the relationship between the environmental factor and the smart home appliance. According to the smart home appliance association table, the smart home appliance associated with the environmental factor is queried.
  • Step S230 generating a control instruction for controlling the smart home appliance according to the change trend data.
  • the change trend and/or the change amount of the environmental factor may be determined according to the change trend data; the instruction function is determined according to the change trend; and the control instruction is generated according to the change amount and the instruction function.
  • the environmental factor is the indoor temperature
  • the indoor temperature change trend is the temperature drop
  • the change amount is 5 °C.
  • the key value pair information ⁇ sleep condition, falling asleep state> can determine that the environmental factor is a sleep condition, and the change trend of the sleep condition is from the awake state to the sleep state.
  • the corresponding instruction function can be set in advance for the trend of change.
  • the command function corresponding to the cooling is to control the air conditioner, and the control command generated according to ⁇ indoor temperature, -5 °C> may be to turn on the heating function of the air conditioner, and set the air conditioner to heat up 5 °C.
  • the command function corresponding to the state from the awake state to the sleep state is the control smart light, and the control command generated according to the ⁇ sleep condition, falling into sleep state> may be to turn off the smart light.
  • Step S240 the control command is sent to the smart home appliance to control the smart home appliance.
  • the control device Before transmitting the control command to the smart home appliance, the control device establishes a communication connection with the smart home appliance through a preset communication mode, and sends a control command to the smart home appliance based on the communication connection.
  • the communication methods include but are not limited to: Bluetooth, infrared, and WiFi.
  • the smart bracelet establishes a communication connection with the smart phone through the Bluetooth method.
  • the smart bracelet sends the difference in the environmental factor to the smartphone through the key value of the ⁇ Key, Value> form.
  • the smart phone remotely controls (controls) the smart lights, smart sounds and smart air conditioners in the smart home environment according to the difference in environmental factors.
  • the whole process includes several stages:
  • Step S410 the user in a comfortable state, data is recorded using a smart bracelet environmental factors, such as the current body temperature and pulse, the data is recorded as the initial data v 1 stored.
  • Step S420 During the use of the smart bracelet, the smart bracelet detects the environmental factor data again every interval t, and uses the newly detected data as the current data v cur .
  • Step S430 the smart bracelet compares the initial data v 1 of the same environmental factor with the current data v cur . If the change value of the initial data and the current data is greater than the threshold ⁇ , the process proceeds to phase two, and if it is less than or equal to ⁇ , the process returns to phase two. .
  • step S431 it is determined whether the body temperature change value is less than the threshold value ⁇ T, and if yes, the process returns to step S420, and if not, the user's body temperature is increased, and the process proceeds to stage two.
  • step S432 it is determined whether the pulse change value is less than the threshold ⁇ V. If yes, the process returns to step S420. If not, it indicates that the user may be exercising and enters stage two.
  • Steps S431 and S432 comply with the conditions for entering the second phase and may enter phase two.
  • step S440 the smart bracelet sends two key value pairs to the smart phone side based on the Bluetooth connection established with the smart phone.
  • step S441 the smart phone sends the key value pair information to ⁇ Temperater, ChangedValue> via Bluetooth.
  • step S442 the smart phone sends the key value pair information to ⁇ Pluse, ChangedValue> via Bluetooth.
  • Step S441 is performed when the body temperature change value is greater than or equal to the threshold ⁇ T.
  • Step S442 is performed when the pulse change value is greater than or equal to the threshold ⁇ V.
  • the wearable device uses a BLE (Bluetooth-Low Energy) protocol, and the protocol includes two roles, namely, Periphery and Central.
  • the periphery is the data provider, and the central is the data usage/processor.
  • a center can connect multiple perimeters at the same time, but only one center can be connected at a time.
  • BluetoothGattServer provides data as a perimeter
  • BluetoothGattServerCallback returns the status of the surrounding
  • BluetoothGatt acts as a central source for processing and processing data
  • BluetoothGattCallback returns the status of the center and the data provided by the perimeter.
  • the smart bracelet acts as a perimeter and the smartphone acts as a center.
  • the perimeter and the center interact with the trend data of the environmental factors by carrying the ⁇ Key, Value> information in the BluetoothGattCharacteristic attribute.
  • Stage 3 home appliance control stage:
  • Step S450 the smart phone analyzes the key value pair information, obtains a control instruction, and sends a control instruction to the corresponding smart home appliance to control the smart home appliance.
  • the smartphone After receiving the key value pair information, the smartphone generates a control command for controlling the smart home appliance through the adapter mode.
  • RemoteControl The (remote control) class is ultimately faced with a TargetFunction interface or abstract class that can only use subclasses that conform to the criteria of the TargetFunction interface or abstract class.
  • the AirConditionAdaptee class is the object to be adapted because it contains the AnalyzePair, which analyzes the user's body temperature key-value pairs.
  • AirConditionAdaptee you need to convert it to a compliant class Adapter.
  • AirConditionAdaptee There are of course other types of Adaptee, and the only examples of AirConditionAdaptee are used herein to illustrate the disclosure and not to limit the disclosure.
  • the Adapter inherits the AdapteAair function of an Adaptee and implements the control interface of the interface class TargetFunciton.
  • Control interfaces include: Bluetooth, Infrared, and WiFi.
  • the Adapter can be flexibly constructed, that is, the Adaptee can be flexibly selected, and the specific remote control operation can be given according to the key value pairs of different environmental factors.
  • the body temperature change value is greater than the threshold value ⁇ T
  • the key value pair information transmitted to the center is ⁇ Temperater, +n>
  • +n is the temperature value (change amount) of the rise (change trend).
  • the specific code can be:
  • AirConditionAdaptee :AnalyzePair(KeyValue), ControlByBluetooth(), ControlByInfrared(), ControlByWifi().
  • AirConditionAdaptee::AnalyzePair(KeyValue) can be regarded as an adapter corresponding to the environmental factor body temperature.
  • the pseudo code implemented is shown in Figure 6.
  • the current home appliance configuration table is obtained, and it is determined whether the air conditioner is configured in the current home appliance configuration table.
  • the air conditioner determines whether the air conditioner is turned on for the cooling mode. If yes, reduce the temperature Value. If not, start the air conditioner and control the air conditioner cooling.
  • the cooling temperature is the room temperature minus the value of Value;
  • the air conditioner it is determined whether the air conditioner is turned on in the cooling mode, and if so, the air conditioner is turned off, and if not, the air conditioner is turned on, and the air conditioner is controlled to be warmed up, and the temperature rise temperature is room temperature plus a value of Value.
  • the instruction function can be determined according to the change trend of the environmental factors, such as lowering the room temperature or increasing the room temperature, and generating a control command according to the change amount of the environmental factor and the instruction function, such as controlling the temperature rise of the air conditioner, and heating the temperature to room temperature plus The value of Value.
  • FIG. 7 is a configuration diagram of a control device of a smart home appliance according to a fourth embodiment of the present disclosure.
  • the control device for the smart home appliance disposed on the wearable device side includes:
  • the detecting module 710 is configured to detect current data of the environmental factor.
  • the comparison module 720 is configured to compare the current data of the environmental factor with the pre-stored initial data of the environmental factor to determine the change trend data of the environmental factor.
  • the change trend data includes: a difference value of the current data of the environmental factor and the initial data of the environmental factor.
  • the sending module 730 is configured to send the change trend data of the environmental factor to the control device, so that the control device controls the smart home appliance in the user environment according to the change trend data of the environmental factor.
  • the sending module 730 is configured to send the change difference of the environmental factor to the control device when the absolute value of the change value of the environmental factor is greater than a preset change threshold.
  • the sending module 730 is configured to send, by using the key value pair information, the change trend data of the environmental factor to the control device; wherein the key value pair information includes the key and the value information, The information of the environmental factor is used as a key in the key value pair information, and the change trend data is used as a value in the key value pair information.
  • the embodiment provides a control device for a smart home appliance disposed on the side of the control device.
  • 8 is a configuration diagram of a control device of a smart home appliance according to a fifth embodiment of the present disclosure.
  • the control device for the smart home appliance disposed on the control device side includes:
  • the receiving module 810 is configured to receive change trend data of an environmental factor sent by the wearable device.
  • the change trend data includes: a difference value of the current data of the environmental factor and the initial data of the environmental factor.
  • the query module 820 is configured to query the smart home appliance associated with the environment factor.
  • the generating module 830 is configured to generate a control instruction for controlling the smart home appliance according to the change trend data.
  • the control module 840 is configured to send the control command to the smart home appliance to control the smart home appliance.
  • the generating module 830 is configured to determine a change trend and/or a change amount of the environmental factor according to the change trend data; determine an instruction function according to the change trend; according to the change amount and the The instruction function generates a control instruction.
  • the receiving module 810 is configured to receive the key value pair information sent by the wearable device, obtain information about the environmental factor and the change trend data of the environmental factor in the key value pair information;
  • the key value pair information includes a key and a value two-part information, the key in the key value pair information is information of the environmental factor, and the value in the key value pair information is the change trend data.
  • Embodiments of the present disclosure also provide a storage medium.
  • storing The storage medium is set to store program code for performing the following steps:
  • S5 Send the trend trend data of the environmental factor to the control device by using the key value pair information.
  • the storage medium is further arranged to store program code for performing the following steps:
  • S9 Obtain information of an environmental factor and change trend data of an environmental factor in the key value pair information.
  • the present disclosure acquires data of an environmental factor through a wearable device and compares it with the initial data, so that the control device controls the smart home appliance in the smart home environment according to the change of the environmental factor, so that the user is always in a comfortable environment, and the data detected by the wearable device is made. Practical, enhance user experience

Abstract

一种智能家电的控制方法、装置及存储介质。控制方法包括在可穿戴设备侧执行的步骤,包括:检测环境因子的当前数据(S110);将环境因子的当前数据和预存的环境因子的初始数据进行比较,确定环境因子的变化趋势数据(S120);将环境因子的变化趋势数据发送给控制设备,以便控制设备根据环境因子的变化趋势数据对用户环境中的智能家电进行控制(S130)。有益效果:通过可穿戴设备获取环境因子的数据并与初始数据比较,使控制设备根据环境因子的变化情况控制智能家电,使用户始终处于舒适环境中,使可穿戴设备检测的数据具有实用性。

Description

一种智能家电的控制方法、装置及存储介质 技术领域
本公开涉及智能家居技术领域,特别是涉及一种智能家电的控制方法、装置及存储介质。
背景技术
目前市场上出现了很多智能的可穿戴设备,通过可穿戴设备,用户可以记录日常生活中的健身数据,睡眠情况,体征数据,饮食情况,语音数据,影像数据等,并且可以将可穿戴设备记录的数据同步到移动终端,在移动终端中进行显示,以便通过数据指导用户健康生活的作用。
但是,相关的可穿戴设备记录的数据只能起到参考作用,没有实现改善用户的舒适度体验效果,不具备实用性;相关的可穿戴设备仅能记录用户的数据,数据的筛选需要在数据同步到移动终端之后,由用户通过移动终端来操作,由于操作过程复杂,导致用户在获得的筛选数据之后,数据的实时性较差。
发明内容
本公开提供一种智能家电的控制方法、装置及存储介质,用以解决相关的可穿戴设备记录的数据只起到参考作用,不具备实用性的问题。
为了解决上述技术问题,本公开是通过以下技术方案来解决的:
本公开提供了一种智能家电的控制方法,在可穿戴设备侧执行的步骤,包括:检测环境因子的当前数据;将所述环境因子的当前数据和预存的所述环境因子的初始数据进行比较,确定所述环境因子的变化趋势数据;将所述环境因子的变化趋势数据发送给控制设备,以便所述控制设备根据所述环境因子的变化趋势数据对用户环境中的智能家电进行控制。
其中,当所述环境因子的当前数据和初始数据都为数值时,所述变化趋势数据包括:所述环境因子的当前数据和所述环境因子的初始数据的变化差值。
其中,将所述环境因子的变化趋势数据发送给控制设备,包括:当所述环境因子的变化差值的绝对值大于预设的变化阈值时,将所述环境因子的变化差值发送给控制设备。
其中,将所述环境因子的变化趋势数据发送给控制设备,包括:通过键值对信息将所述环境因子的变化趋势数据发送给控制设备;其中,所述键值对信息包括键和值两部分信息,将所述环境因子的信息作为所述键值对信息中的键,将所述变化趋势数据作为所述键值对信息中的值。
本公开提供了一种智能家电的控制方法,在控制设备侧执行的步骤,包括:接收可穿戴设备发送的环境因子的变化趋势数据;查询所述环境因子关联的智能家电;根据所述变化趋势数据,生成用于控制所述智能家电的控制指令;将所述控制指令发送给所述智能家电,以控制所述智能家电。
其中,当所述环境因子的当前数据和初始数据都为数值时,所述变化趋势数据包括:所述环境因子的当前数据和所述环境因子的初始数据的变化差值。
其中,根据所述变化趋势数据,生成用于控制所述智能家电的控制指令,包括:根据所述变化趋势数据,确定所述环境因子的变化趋势和/或变化量;根据所述变化趋势确定指令函数;根据所述变化量和所述指令函数,生成控制指令。
其中,接收可穿戴设备发送的环境因子的变化趋势数据,包括:接收可穿戴设备发送的键值对信息;在所述键值对信息中获取环境因子的信息以及所述环境因子的变化趋势数据;其中,所述键值对信息包括键和值两部分信息,所述键值对信息中的键为所述环境因子的信息,所述键值对信息中的值为所述变化趋势数据。
本公开提供了一种智能家电的控制装置,设置在可穿戴设备侧,包括:检测模块,设置为检测环境因子的当前数据;比较模块,设置为将所述环境因子的当前数据和预存的所述环境因子的初始数据进行比较,确定所述环境因子的变化趋势数据;发送模块,设置为将所述环境因子的变化趋势 数据发送给控制设备,以便所述控制设备根据所述环境因子的变化趋势数据对用户环境中的智能家电进行控制。
其中,当所述环境因子的当前数据和初始数据都为数值时,所述变化趋势数据包括:所述环境因子的当前数据和所述环境因子的初始数据的变化差值。
其中,所述发送模块,设置为当所述环境因子的变化差值的绝对值大于预设的变化阈值时,将所述环境因子的变化差值发送给控制设备。
其中,所述发送模块,设置为通过键值对信息将所述环境因子的变化趋势数据发送给控制设备;其中,所述键值对信息包括键和值两部分信息,将所述环境因子的信息作为所述键值对信息中的键,将所述变化趋势数据作为所述键值对信息中的值。
本公开还提供了一种智能家电的控制装置,设置在控制设备侧,包括:接收模块,设置为接收可穿戴设备发送的环境因子的变化趋势数据;查询模块,设置为查询所述环境因子关联的智能家电;生成模块,设置为根据所述变化趋势数据,生成用于控制所述智能家电的控制指令;控制模块,设置为将所述控制指令发送给所述智能家电,以控制所述智能家电。
其中,当所述环境因子的当前数据和初始数据都为数值时,所述变化趋势数据包括:所述环境因子的当前数据和所述环境因子的初始数据的变化差值。
其中,所述生成模块,设置为根据所述变化趋势数据,确定所述环境因子的变化趋势和/或变化量;根据所述变化趋势确定指令函数;根据所述变化量和所述指令函数,生成控制指令。
其中,所述接收模块,设置为接收可穿戴设备发送的键值对信息;在所述键值对信息中获取环境因子的信息以及所述环境因子的变化趋势数据;其中,所述键值对信息包括键和值两部分信息,所述键值对信息中的键为所述环境因子的信息,所述键值对信息中的值为所述变化趋势数据。
本公开还提供了一种存储介质,该存储介质可以存储有执行指令,该 执行指令用于执行上述实施例中的智能家电的控制方法。
本公开有益效果如下:
本公开通过可穿戴设备获取环境因子的数据并与初始数据比较,使控制设备根据环境因子的变化情况控制智能家居环境中的智能家电,使用户始终处于舒适环境中,使可穿戴设备检测的数据具有实用性,提升用户体验效果。
附图说明
图1是根据本公开第一实施例的智能家电的控制方法的流程图;
图2是根据本公开第二实施例的智能家电的控制方法的流程图;
图3是根据本公开第三实施例的智能家电的控制系统的结构图;
图4是根据本公开第三实施例的智能家电的控制方法的具体流程图;
图5是根据本公开第三实施例的适配器模式类图;
图6是根据本公开第三实施例的适配器模式的伪代码图;
图7是根据本公开第四实施例的智能家电的控制装置的结构图;
图8是根据本公开第五实施例的智能家电的控制装置的结构图。
具体实施方式
本公开的目的在于,利用可穿戴设备自动化感知环境变化,实时地向控制设备传输有效的数据,由控制设备根据该数据控制智能家电,改善用户家居生活体验。本公开可以很好的利用可穿戴设备检测到环境因子的数据,提升数据的实用性和实时性。
在本公开中,可穿戴设备为用户可以佩戴的设备。可穿戴设备包括但不限于:智能手表、智能腕带,智能眼镜和智能运动鞋。
在本公开中,控制设备包括但不限于:移动终端。例如:智能手机。
以下结合附图以及实施例,对本公开进行进一步详细说明。应当理解,此处所描述的具体实施例仅仅用以解释本公开,并不限定本公开。
实施例一
本实施例提供一种在可穿戴设备侧执行的智能家电的控制方法。图1是根据本公开第一实施例的智能家电的控制方法的流程图。
步骤S110,检测环境因子的当前数据。
环境因子包括:室内温度,室内湿度、体表温度、睡眠情况等。睡眠情况可以通过检测用户的心跳、脉搏、血压等来分析获得。睡眠情况的当前数据为入睡状态和清醒状态。
在本实施例中,可以每隔预定时间段检测一次环境因子的当前数据。
步骤S120,将环境因子的当前数据和预存的该环境因子的初始数据进行比较,确定该环境因子的变化趋势数据。
预先设置并存储环境因子的初始数据。在采集环境因子的数据的过程中,设置用户最舒适状态下的环境因子的数据作为初始数据。该最舒适状态可以由用户确定。例如:室内温度的初始数据为25℃,室内湿度的初始数据为55%,体表温度的初始数据为36.7℃,睡眠情况的初始数据为清醒状态。
变化趋势数据是以环境因子的初始数据作为数据基础,该环境因子的当前数据相对于初始数据的变化。例如:睡眠情况的初始数据为清醒状态,当前数据为睡眠状态,那么睡眠情况的变化趋势数据为入睡。又如:室内温度的初始数据为25℃,当前数据为30℃,那么室内温度的变化趋势数据为升高。
当环境因子的当前数据和初始数据都为数值时,所述变化趋势数据可以包括:环境因子的当前数据和该环境因子的初始数据的变化差值(当前数据减去初始数据等于变化差值)。例如:室内温度的初始数据为25℃,当前数据为20℃,那么室内温度的变化趋势数据为-5℃(20℃-25℃=-5℃)。
步骤S130,将环境因子的变化趋势数据发送给控制设备,以便控制设备根据环境因子的变化趋势数据对用户环境中的智能家电进行控制。
当环境因子的当前数据和初始数据都为数值时,判断环境因子的变化差值的绝对值是否大于预设的变化阈值,如果是,也就是说,当该环境因子的变化差值的绝对值大于预设的变化阈值时,将该环境因子的变化差值发送给控制设备;反之,则不发送该环境因子的变化差值,继续检测环境因子的数据。该变化阈值为实验值或者用户设置的值。环境因子的变化差值的绝对值小于等于变化阈值说明用户处于相对舒适的环境中,反之,用户可能会感到不适。
在向控制设备发送环境因子的变化趋势数据前,可穿戴设备通过预设的通信方式与控制设备建立通信连接。该通信方式包括但不限于:Bluetooth(蓝牙),Infrared(红外),WiFi(Wireless Fidelity,无线保真)。
在向控制设备发送环境因子的变化趋势数据时,可以通过键值对信息将环境因子的变化趋势数据发送给控制设备。键值对信息包括键和值两部分信息,键值对信息的形式为<Key,Value>,Key为键,Value为值。将环境因子的信息作为键值对信息中的键Key,将变化趋势数据作为键值对信息中的值Value。环境因子的信息为环境因子的名称或者ID(编码)。
例如:环境因子为室内温度,变化趋势数据为-5℃,键值对信息为<室内温度,-5℃>。又如:环境因为为睡眠情况,变化趋势数据为入睡状态,键值对信息为<睡眠情况,入睡状态>。
本实施例通过可穿戴设备获取环境因子的数据并与初始数据比较,使控制设备根据环境因子的变化情况控制智能家居环境中的智能家电,使用户始终处于舒适环境中。可穿戴设备在环境因子的数据超出阈值范围的情况下及时通知控制设备,以便控制设备及时向智能家电发送控制指令,使可穿戴设备检测的数据具有实用性,有益于提高用户家居生活体验。
实施例二
本实施例提供一种在控制设备侧执行的智能家电的控制方法。图2是根据本公开第二实施例的智能家电的控制方法的流程图。
步骤S210,接收可穿戴设备发送的环境因子的变化趋势数据。
接收可穿戴设备发送的键值对信息;在键值对信息中获取环境因子的信息以及所述环境因子的变化趋势数据。所述键值对信息包括键和值两部分信息,所述键值对信息中的键为所述环境因子的信息,所述键值对信息中的值为所述变化趋势数据。
具体的,每隔预定时间段可以接到到可穿戴设备发送的环境因子的变化趋势数据,每接收到一次,就只执行一次本实施例。
步骤S220,查询该环境因子关联的智能家电。
智能家电包括:智能家居环境中的智能空调、电热器、加湿器、智能灯等。
预先设置与每个环境因子关联的智能家电。例如:室内温度关联智能空调和电热器,室内湿度管理加湿器,睡眠情况管理智能灯。
可以根据环境因子和智能家电的关联关系,设置智能家电关联表。根据该智能家电关联表,查询环境因子关联的智能家电。
步骤S230,根据该变化趋势数据,生成用于控制该智能家电的控制指令。
根据变化趋势数据可以确定环境因子的变化趋势和/或变化量;根据该变化趋势确定指令函数;根据该变化量和指令函数,生成控制指令。
例如:根据键值对信息为<室内温度,-5℃>可以确定环境因子为室内温度,室内温度的变化趋势为降温,变化量为5℃。又如:根据键值对信息为<睡眠情况,入睡状态>可以确定环境因子为睡眠情况,睡眠情况的变化趋势为从清醒状态到入睡状态。
可以预先为变化趋势设置对应的指令函数。例如:降温对应的指令函数为控制空调,根据<室内温度,-5℃>生成的控制指令可以是打开空调的制暖功能,设置空调升温5℃。又如:从清醒状态到入睡状态对应的指令函数为控制智能灯,根据<睡眠情况,入睡状态>生成的控制指令可以是关闭智能灯。
步骤S240,将该控制指令发送给该智能家电,以控制该智能家电。
在将控制指令发送给智能家电之前,控制设备通过预设的通信方式与智能家电建立通信连接,基于该通信连接,将控制指令发送给该智能家电。该通信方式包括但不限于:蓝牙、红外和WiFi。
实施例三
下面给出一个较为具体的实施例来说明本公开的智能家电的控制方法。
如图3所示的智能家电的控制系统的结构图,智能手环通过蓝牙方式和智能手机建立通信连接。智能手环通过<Key,Value>形式的键值对信息向智能手机发送环境因子的变化差值。智能手机根据环境因子的变化差值遥控(控制)智能家居环境中的智能灯,智能音响和智能空调。
如图4所示的智能家电的控制方法的具体流程图,整个流程包括几个阶段:
阶段一,数据采集阶段:
步骤S410,用户在舒适状态下,利用智能手环记录环境因子的数据,如当前的体温和脉搏,将记录的数据作为初始数据v1进行存储。
步骤S420,在智能手环使用过程中,智能手环每间隔时间t再次检测环境因子的数据,将最新检测的数据作为当前数据vcur
步骤S430,智能手环将同一环境因子的初始数据v1和当前数据vcur进行比较,如果初始数据和当前数据的变化值大于阈值Δ,则进入阶段二,如果小于等于Δ,则返回阶段二。
具体的,步骤S431,判断体温变化值是否小于阈值ΔT,如果是,则返回步骤S420,如果否,则说明用户体温升高,进入阶段二。步骤S432,判断脉搏变化值是否小于阈值ΔV,如果是,则返回步骤S420,如果否,则说明用户可能在做运动,进入阶段二。步骤S431和步骤S432符合进入阶段二的条件的步骤可进入阶段二。
阶段二,数据发送阶段:
步骤S440,智能手环基于与智能手机建立的蓝牙连接,将两个键值对信息分别发送到智能手机侧。
步骤S441,智能手机通过蓝牙发送键值对信息为<Temperater,ChangedValue>。步骤S442,智能手机通过蓝牙发送键值对信息为<Pluse,ChangedValue>。在体温变化值大于等于阈值ΔT时执行步骤S441。在脉搏变化值大于等于阈值ΔV时执行步骤S442。
具体的,可穿戴装置多使用BLE(Bluetooth-LowEnergy,蓝牙低能耗)协议,在该协议中包含两个角色,即周边(Periphery)和中央(Central)。周边是数据提供者,中央是数据使用/处理者。一个中央可以同时连接多个周边,但是一个周边某一时刻只能连接一个中央。
在Android(安卓)BLE SDK(Software Development Kit,软件开发包工具)中包含四个关键类(class),分别是:
BluetoothGattServer作为周边来提供数据;
BluetoothGattServerCallback返回周边的状态;
BluetoothGatt作为中央来使用和处理数据;
BluetoothGattCallback返回中央的状态和周边提供的数据。
在本实施例中,智能手环作为周边,智能手机作为中央。周边和中央通过在BluetoothGattCharacteristic属性中携带<Key,Value>信息,来交互环境因子的变化趋势数据。
阶段三,家电控制阶段:
步骤S450,智能手机分析键值对信息,获得控制指令,并向相应的智能家电发送控制指令,以控制智能家电。
智能手机在接收到键值对信息之后,通过适配器模式来生成用于控制智能家电的控制指令。
具体的,如图5所示的适配器模式类图。在该类图中,RemoteControl (远程控制)类最终面对的是TargetFunction(目标功能)接口或抽象类,它只能够使用符合TargetFunction接口或抽象类的标准的子类。AirConditionAdaptee(空调适配器)类则是被适配的对象,因为它包含AnalyzePair,AnalyzePair可以分析用户体表温度键值对的操作。
如果希望使用AirConditionAdaptee,需要将其转换成符合标准的类Adapter(适配器)。当然Adaptee还有其他种类,此处仅举出AirConditionAdaptee的例子只是为了说明本公开而不用于限定本公开。
Adapter继承某个Adaptee的AnalyzePair功能,实现接口类TargetFunciton的控制接口。控制接口包括:Bluetooth、Infrared和WiFi。根据用户配置过的智能家居环境中的智能家电的遥控方式,可以灵活构建Adapter,即灵活选择继承的Adaptee,进而可以根据不同环境因子的键值对给出具体的遥控操作。
例如:体温变化值大于阈值ΔT,周边传递给中央的键值对信息为<Temperater,+n>,+n为升高(变化趋势)的温度值(变化量)。根据key=Temperater,可以确定Temperater关联智能空调,进而创建Adapter继承AirConditionAdaptee类,实现TargetFunciton的三个控制接口。
具体代码可以为:
AirConditionAdaptee::AnalyzePair(KeyValue),ControlByBluetooth(),ControlByInfrared(),ControlByWifi()。AirConditionAdaptee::AnalyzePair(KeyValue)可以看做环境因子体温对应的适配器,实现的伪代码如图6所示。
在图6中,判断温度值是否大于,如果大于0则降低室温,如果小于0则升高室温;在降低室温时,获取当前家电配置表,判断当前家电配置表中是否配置过空调设备,在配置过空调设备的情况下,判断空调是否开启为制冷模式,如果是,则降低温度Value,如果否,则启动空调,并控制空调制冷,制冷温度为室温减去Value的值;在升高室温时,获取当前家电配置表,判断当前家电配置表中是否配置过空调设备,在配置过空调 设备的情况下,判断空调是否开启为制冷模式,如果是,则关闭空调,如果否,则启动空调,并控制空调升温,升温温度为室温加上Value的值。
根据图6可知,根据环境因子的变化趋势可以确定指令函数,如降低室温或升高室温,根据环境因子的变化量和指令函数,可以生成控制指令,如控制空调升温,升温温度为室温加上Value的值。
实施例四
本实施例提供一种设置在可穿戴设备侧的智能家电的控制装置。图7是根据本公开第四实施例的智能家电的控制装置的结构图。
该设置在可穿戴设备侧的智能家电的控制装置,包括:
检测模块710,设置为检测环境因子的当前数据。
比较模块720,设置为将所述环境因子的当前数据和预存的所述环境因子的初始数据进行比较,确定所述环境因子的变化趋势数据。当所述环境因子的当前数据和初始数据都为数值时,所述变化趋势数据包括:所述环境因子的当前数据和所述环境因子的初始数据的变化差值。
发送模块730,设置为将所述环境因子的变化趋势数据发送给控制设备,以便所述控制设备根据所述环境因子的变化趋势数据对用户环境中的智能家电进行控制。
在一个实施例中,发送模块730,设置为当所述环境因子的变化差值的绝对值大于预设的变化阈值时,将所述环境因子的变化差值发送给控制设备。
在另一实施例中,发送模块730,设置为通过键值对信息将所述环境因子的变化趋势数据发送给控制设备;其中,所述键值对信息包括键和值两部分信息,将所述环境因子的信息作为所述键值对信息中的键,将所述变化趋势数据作为所述键值对信息中的值。
本实施例所述的装置的功能已经在图1~图6所示的方法实施例中进行了描述,故本实施例的描述中未详尽之处,可以参见前述实施例中的相 关说明,在此不做赘述。
实施例五
本实施例提供一种设置在控制设备侧的智能家电的控制装置。图8是根据本公开第五实施例的智能家电的控制装置的结构图。
该设置在控制设备侧的智能家电的控制装置,包括:
接收模块810,设置为接收可穿戴设备发送的环境因子的变化趋势数据。当所述环境因子的当前数据和初始数据都为数值时,所述变化趋势数据包括:所述环境因子的当前数据和所述环境因子的初始数据的变化差值。
查询模块820,设置为查询所述环境因子关联的智能家电。
生成模块830,设置为根据所述变化趋势数据,生成用于控制所述智能家电的控制指令。
控制模块840,设置为将所述控制指令发送给所述智能家电,以控制所述智能家电。
在一个实施例中,生成模块830,设置为根据所述变化趋势数据,确定所述环境因子的变化趋势和/或变化量;根据所述变化趋势确定指令函数;根据所述变化量和所述指令函数,生成控制指令。
在另一实施例中,接收模块810,设置为接收可穿戴设备发送的键值对信息;在所述键值对信息中获取环境因子的信息以及所述环境因子的变化趋势数据;其中,所述键值对信息包括键和值两部分信息,所述键值对信息中的键为所述环境因子的信息,所述键值对信息中的值为所述变化趋势数据。
本实施例所述的装置的功能已经在图1~图6所示的方法实施例中进行了描述,故本实施例的描述中未详尽之处,可以参见前述实施例中的相关说明,在此不做赘述。
实施例六
本公开的实施例还提供了一种存储介质。可选地,在本实施例中,存 储介质被设置为存储用于执行以下步骤的程序代码:
S1,检测环境因子的当前数据;
S2,将环境因子的当前数据和预存的环境因子的初始数据进行比较,确定环境因子的变化趋势数据;
S3,将环境因子的变化趋势数据发送给控制设备,以便控制设备根据环境因子的变化趋势数据对用户环境中的智能家电进行控制;
S4,当环境因子的变化差值的绝对值大于预设的变化阈值时,将环境因子的变化差值发送给控制设备;
S5,通过键值对信息将环境因子的变化趋势数据发送给控制设备。
可选地,在本实施例中,存储介质还被设置为存储用于执行以下步骤的程序代码:
S1,接收可穿戴设备发送的环境因子的变化趋势数据;
S2,查询环境因子关联的智能家电;
S3,根据变化趋势数据,生成用于控制智能家电的控制指令;
S4,将控制指令发送给智能家电,以控制智能家电;
S5,根据变化趋势数据,确定环境因子的变化趋势和/或变化量;
S6,根据变化趋势确定指令函数;
S7,根据变化量和指令函数,生成控制指令;
S8,接收可穿戴设备发送的键值对信息;
S9,在键值对信息中获取环境因子的信息以及环境因子的变化趋势数据。
尽管为示例目的,已经公开了本公开的可选实施例,本领域的技术人员将意识到各种改进、增加和取代也是可能的,因此,本公开的范围应当不限于上述实施例。
工业实用性
本公开通过可穿戴设备获取环境因子的数据并与初始数据比较,使控制设备根据环境因子的变化情况控制智能家居环境中的智能家电,使用户始终处于舒适环境中,使可穿戴设备检测的数据具有实用性,提升用户体验效果

Claims (17)

  1. 一种智能家电的控制方法,在可穿戴设备侧执行的步骤,包括:
    检测环境因子的当前数据;
    将所述环境因子的当前数据和预存的所述环境因子的初始数据进行比较,确定所述环境因子的变化趋势数据;
    将所述环境因子的变化趋势数据发送给控制设备,以便所述控制设备根据所述环境因子的变化趋势数据对用户环境中的智能家电进行控制。
  2. 如权利要求1所述的方法,其中,当所述环境因子的当前数据和初始数据都为数值时,所述变化趋势数据包括:所述环境因子的当前数据和所述环境因子的初始数据的变化差值。
  3. 如权利要求2所述的方法,其中,将所述环境因子的变化趋势数据发送给控制设备,包括:
    当所述环境因子的变化差值的绝对值大于预设的变化阈值时,将所述环境因子的变化差值发送给控制设备。
  4. 如权利要求1-3中任一项所述的方法,其中,将所述环境因子的变化趋势数据发送给控制设备,包括:
    通过键值对信息将所述环境因子的变化趋势数据发送给控制设备;
    其中,所述键值对信息包括键和值两部分信息,将所述环境因子的信息作为所述键值对信息中的键,将所述变化趋势数据作为所述键值对信息中的值。
  5. 一种智能家电的控制方法,在控制设备侧执行的步骤,包括:
    接收可穿戴设备发送的环境因子的变化趋势数据;
    查询所述环境因子关联的智能家电;
    根据所述变化趋势数据,生成用于控制所述智能家电的控制指令;
    将所述控制指令发送给所述智能家电,以控制所述智能家电。
  6. 如权利要求5所述的方法,其中,当所述环境因子的当前数据和 初始数据都为数值时,所述变化趋势数据包括:所述环境因子的当前数据和所述环境因子的初始数据的变化差值。
  7. 如权利要求6所述的方法,其中,根据所述变化趋势数据,生成用于控制所述智能家电的控制指令,包括:
    根据所述变化趋势数据,确定所述环境因子的变化趋势和/或变化量;
    根据所述变化趋势确定指令函数;
    根据所述变化量和所述指令函数,生成控制指令。
  8. 如权利要求5-7中任一项所述的方法,其中,接收可穿戴设备发送的环境因子的变化趋势数据,包括:
    接收可穿戴设备发送的键值对信息;
    在所述键值对信息中获取环境因子的信息以及所述环境因子的变化趋势数据;其中,
    所述键值对信息包括键和值两部分信息,所述键值对信息中的键为所述环境因子的信息,所述键值对信息中的值为所述变化趋势数据。
  9. 一种智能家电的控制装置,设置在可穿戴设备侧,包括:
    检测模块,设置为检测环境因子的当前数据;
    比较模块,设置为将所述环境因子的当前数据和预存的所述环境因子的初始数据进行比较,确定所述环境因子的变化趋势数据;
    发送模块,设置为将所述环境因子的变化趋势数据发送给控制设备,以便所述控制设备根据所述环境因子的变化趋势数据对用户环境中的智能家电进行控制。
  10. 如权利要求9所述的装置,其中,当所述环境因子的当前数据和初始数据都为数值时,所述变化趋势数据包括:所述环境因子的当前数据和所述环境因子的初始数据的变化差值。
  11. 如权利要求10所述的装置,其中,所述发送模块,设置为当所述环境因子的变化差值的绝对值大于预设的变化阈值时,将所述环境因子 的变化差值发送给控制设备。
  12. 如权利要求9-11中任一项所述的装置,其中,所述发送模块,设置为通过键值对信息将所述环境因子的变化趋势数据发送给控制设备;其中,所述键值对信息包括键和值两部分信息,将所述环境因子的信息作为所述键值对信息中的键,将所述变化趋势数据作为所述键值对信息中的值。
  13. 一种智能家电的控制装置,设置在控制设备侧,包括:
    接收模块,设置为接收可穿戴设备发送的环境因子的变化趋势数据;
    查询模块,设置为查询所述环境因子关联的智能家电;
    生成模块,设置为根据所述变化趋势数据,生成用于控制所述智能家电的控制指令;
    控制模块,设置为将所述控制指令发送给所述智能家电,以控制所述智能家电。
  14. 如权利要求13所述的装置,其中,当所述环境因子的当前数据和初始数据都为数值时,所述变化趋势数据包括:所述环境因子的当前数据和所述环境因子的初始数据的变化差值。
  15. 如权利要求14所述的装置,其中,所述生成模块,设置为:
    根据所述变化趋势数据,确定所述环境因子的变化趋势和/或变化量;
    根据所述变化趋势确定指令函数;
    根据所述变化量和所述指令函数,生成控制指令。
  16. 如权利要求13-15中任一项所述的装置,其中,所述接收模块,设置为:
    接收可穿戴设备发送的键值对信息;
    在所述键值对信息中获取环境因子的信息以及所述环境因子的变化趋势数据;其中,
    所述键值对信息包括键和值两部分信息,所述键值对信息中的键为所述环境因子的信息,所述键值对信息中的值为所述变化趋势数据。
  17. 一种存储介质,所述存储介质包括存储的程序,其中,所述程序运行时执行上述权利要求1至4或5至8中任一项中所述的方法。
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