WO2015085724A1 - Procédé de commande de meuble intelligent, système de commande et serveur à distance - Google Patents

Procédé de commande de meuble intelligent, système de commande et serveur à distance Download PDF

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Publication number
WO2015085724A1
WO2015085724A1 PCT/CN2014/078602 CN2014078602W WO2015085724A1 WO 2015085724 A1 WO2015085724 A1 WO 2015085724A1 CN 2014078602 W CN2014078602 W CN 2014078602W WO 2015085724 A1 WO2015085724 A1 WO 2015085724A1
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WO
WIPO (PCT)
Prior art keywords
smart home
control
expected
status
equipment
Prior art date
Application number
PCT/CN2014/078602
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English (en)
Chinese (zh)
Inventor
罗乾鹏
唐国均
Original Assignee
中兴通讯股份有限公司
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Publication of WO2015085724A1 publication Critical patent/WO2015085724A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • H04L12/2823—Reporting information sensed by appliance or service execution status of appliance services in a home automation network
    • H04L12/2827—Reporting to a device within the home network; wherein the reception of the information reported automatically triggers the execution of a home appliance functionality
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication
    • G05B19/41855—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication by local area network [LAN], network structure
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • H04L12/2823—Reporting information sensed by appliance or service execution status of appliance services in a home automation network
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2642—Domotique, domestic, home control, automation, smart house

Definitions

  • the invention relates to the field of smart home control, in particular to a smart home control method, a control system and a remote server.
  • rules or control logic are typically set by default by the manufacturer of the smart home control device (typically, such as a home gateway or home control center). Since the user's living habits and preferences vary widely, these preset rules usually cannot meet the user's individual needs, which requires the user to modify the settings during use. As smart home systems become more complex, more and more devices and sensors are controlled and accessed, and the rules or control logic settings become more complex, making it difficult for users to use. At the same time, once these rules are set, they do not have the ability to adapt adaptively.
  • the invention provides a smart home control method, a control system and a remote server, which can improve the intelligent level of smart home device control and improve the user experience.
  • the present invention provides a smart home control method, which is applied to a remote server.
  • the method includes: receiving environment parameter information and device state information sent by a smart home data collection device, and associating the environment parameter information with device state information. As historical data;
  • control logic including expected device states under pre-configured environmental parameters
  • Receiving environmental parameter information and device status information sent by the smart home data collection device if Determining, according to the control logic, that the current device state is not the expected device state under the current environmental parameter, sending a control instruction to the smart home control device to automatically adjust the current device state to the expected device state.
  • the method may further include: receiving scenario parameter information sent by the smart home data collection device; saving the scenario parameter information and the device state information, or setting the scenario parameter information and the environment parameter information And the device status information is saved as the historical data; wherein the scene parameter includes one or more of a user presence, a user location, and a user behavior;
  • control logic further includes an expected device state under the pre-configured scenario parameters, or a pre-configured scenario parameter and an expected device state under the environmental parameter;
  • the method may further include the following feature: receiving device location information sent by the smart home data collection device;
  • Determining control logic for joint control of devices of different users in a set area the control logic including expected device status under pre-configured environmental parameters; and transmitting according to any one or more users' smart home data collection devices
  • the outdoor environment parameter information determines the current environment parameter of the area, and if it is determined according to the joint control logic of the area, the current device state of the device of any user in the area is not the expected device state under the current environment parameter, then The user's smart home control device sends a control command to automatically adjust the current device state to the expected device state.
  • the method may further include the following features:
  • Learning from the historical data to establish a user-to-device control logic including: according to historical data of a set time span and/or a sample size, the statistical device is pre-configured The operating state with the highest frequency appears under the environmental parameter, and the operating state with the highest frequency of occurrence is used as the expected device state of the device under the pre-configured environmental parameters.
  • the method may further include the following features:
  • the method further includes: classifying the device, pre-configuring the association relationship between each type of device and the corresponding environment parameter, and the statistical device appears under the pre-configured environment parameter.
  • the highest frequency operating state counts only the operational status of one or more types of devices associated with the pre-configured environmental parameters.
  • the method may further include the following features:
  • the environmental parameters include one or more of the following parameters: temperature, humidity, or light intensity.
  • the present invention also provides a smart home control method for a smart home control system, the smart home control system comprising a smart home data collection device and a smart home control device, the method comprising:
  • the smart home data collection device sends environmental parameter information and device status information to the remote server;
  • the smart home control device receives the control command sent by the remote server, and automatically adjusts the current device state to the expected device state under the pre-configured environment parameter.
  • the method may further include the following features:
  • the smart home data collection device sends scenario parameter information to a remote server; wherein the scenario parameters include one or more of a user presence, a user location, and a user behavior.
  • the present invention also provides a remote server, comprising: a data collection module and a first service module, the first service module comprising a first self-learning unit and a first control unit:
  • a data collection module configured to receive environment parameter information and device status information sent by the smart home data collection device, and save the environment parameter information and the device status information as historical data;
  • a first self-learning unit configured to learn from the historical data to establish user-to-device control logic, the control logic including an expected device state under pre-configured environmental parameters; a first control unit, configured to receive environment parameter information and device state information sent by the smart home data collection device, and if the current device state is determined according to the control logic, the device state expected under the current environment parameter is sent to the smart home The control device sends a control command to automatically adjust the current device state to the expected device state.
  • the remote server further includes a second service module, where the second service module includes a second self-learning unit and a second control unit: the data collection module is further configured to receive the smart home data collection device and send the The scene parameter information is associated with the scene parameter information and the device state information, or the scene parameter information, the environment parameter information, and the device state information are associated and saved as historical data; wherein the scene parameter includes whether the user includes One or more of appearance, user location, and user behavior; a second self-learning unit configured to learn from the historical data to establish user-to-device control logic, the control logic including pre-configured scene parameters The expected device state, or pre-configured scenario parameters and expected device state under environmental parameters;
  • the remote server further includes: a third service module, where the third service module includes a third self-learning unit and a third control unit: the data collection module is further configured to receive the smart home data collection device and send Device location information;
  • a third self-learning unit configured to determine control logic for jointly controlling devices of different users within a set area, the control logic including an expected device state under pre-configured environmental parameters
  • a third control unit configured to determine an current environmental parameter of the area according to the outdoor environment parameter information sent by the smart home data collecting device of any one or more users, if The joint control logic of the area determines that the current device state of the device of any user in the area is not the expected device state under the current environment parameter, and sends a control command to the smart home control device of the user to automatically adjust the current device state. For the expected device status.
  • the remote server may further include the following features:
  • the first self-learning unit learns from the historical data by establishing a user control logic for the device:
  • the statistical device has the highest frequency running state under the pre-configured environment parameters, and the operating state with the highest frequency of occurrence is used as the pre-configured environment parameter of the device.
  • the expected device status is used as the pre-configured environment parameter of the device.
  • the remote server may further include the following features:
  • the first self-learning unit further learns from the historical data by establishing a user-to-device control logic:
  • the invention also provides a smart home control system, comprising:
  • a smart home data collection device configured to send environmental parameter information and device status information to a remote server
  • the smart home control device is configured to receive a control command sent by the remote server to automatically adjust the current device state to the expected device state under the pre-configured environment parameter.
  • the smart home control system may further include the following features:
  • the smart home data collection device is further configured to send the scenario parameter information to the remote server; wherein the scenario parameter includes one or more of a user presence, a user location, and a user behavior.
  • the smart home control method, the control system, and the remote server provided by the embodiment of the present invention, the smart home control system reports environmental parameters and device information to the remote server, and the remote server establishes artificial intelligence technology such as machine learning.
  • Equipment in a pre-configured environment The control logic adaptively controls the operating state of the device according to the control logic, which can improve the intelligent level of the smart home device control and improve the user experience.
  • FIG. 1 is a flow chart of a smart home control method (applied to a remote server) according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a smart home control method (applied to a smart home control system) according to an embodiment of the present invention
  • FIG. 3 is a schematic structural diagram of a remote server according to an embodiment of the present invention
  • FIG. 4 is a schematic structural diagram of a smart home control system according to an embodiment of the present invention.
  • an embodiment of the present invention provides a smart home control method, which is applied to a remote server, and includes:
  • S10 Receive environment parameter information and device state information sent by the smart home data collection device, and save the environment parameter information and device state information as historical data;
  • S30 Receive environmental parameter information and device status information sent by the smart home data collection device. If the current device status is determined according to the control logic, the device status is not expected under the current environmental parameter, and then send a control instruction to the smart home control device. The current device state is automatically adjusted to the expected device state.
  • the method may further include the following features: wherein the smart home data collection device may collect data of one or more devices, and the smart home control device may control one or more devices.
  • the smart home control device may control one or more devices.
  • a smart home control device can To connect multiple relays (or electric motors).
  • the smart home control system performs two-way communication with the remote control server through the data network of the operator; the communication mode may be one or more of the following communication modes: short message, multimedia message, IP, or wireless basic communication function.
  • the smart home data collection device can send a short message to the remote server regarding the running status of the device.
  • the user can also log in to the remote server to set the control mode of the device to "intelligent control" or “non-intelligent control".
  • the remote server does not intelligently control the smart home device (according to Self-learning results are intelligently controlled).
  • the learning from the historical data to establish a user-to-device control logic includes: calculating, according to historical data of a set time span and/or a number of samples, a frequency of occurrence of the statistical device under pre-configured environmental parameters The highest operating state, the operating state with the highest frequency of occurrence is taken as the expected device state of the device under pre-configured environmental parameters.
  • the device can be classified, and each type of device is pre-configured to be associated with the corresponding environment parameter.
  • the statistical device has the highest frequency running state under the pre-configured environment parameter, and only the pre-configured environment parameter The running status of the associated one or more types of devices is counted.
  • the environmental parameter includes one or more of the following parameters: temperature, humidity, or light intensity.
  • the pre-configured indoor temperature is related to the air conditioner and the electric heater (equipment), and can count the opening, closing, and set temperature of the air conditioner under the pre-configured indoor temperature range (for example, 0-5 degrees), and The opening, closing and gearing of the electric heater in the pre-configured temperature range.
  • the remote server receives the environment parameter information and the device status information sent by the smart home data collection device, and can also receive the scenario parameter information sent by the smart home data collection device;
  • the self-learning can also be used to determine the control logic of the device in a pre-configured scenario, or in a pre-configured scenario and a pre-configured environment; in addition to adjusting the device state to a pre-configured environment
  • the expected state it is also possible to perform scene-related control, adjust the device state to an expected state in a pre-configured scenario, or a pre-configured scenario and an expected state in a pre-configured environment.
  • the above-mentioned processing related to the scene includes the following steps S201-S203:
  • Step S201 further receiving scenario parameter information sent by the smart home data collection device; saving the scenario parameter information and the device state information, or setting the scenario parameter information and the environment parameter
  • the number information and the device status information are stored in association with each other as historical data; wherein the scene parameters include one or more of a user presence, a user location, and a user behavior;
  • Step S202 Learning from the historical data, establishing control logic of the user to the device, where the control logic includes an expected device state under a preset scenario parameter, or a pre-configured scenario parameter and an expected device state under the environmental parameter;
  • Step S203 Receive scenario parameter information and device state information sent by the smart home data collection device, or scenario parameter information, environment parameter information, and device state information sent by the smart home data collection device, if the current control is determined according to the control logic. If the device status is not the expected device status under the current scene parameter, or is not the current scene parameter and the expected device status under the environmental parameter, the control command is sent to the smart home control device to automatically adjust the current device status to the expected device status. .
  • the remote server when the remote server performs the scene-related control, if the "user appearance" scene parameter is received, the automatic control of the air conditioner, the light, and the like can be started; if the remote server receives the "user away from home” scene parameter , can automatically control the indoor security equipment.
  • the remote server receives the environment parameter information and the device status information sent by the smart home data collection device, and can also receive the device location information sent by the smart home data collection device, and then can perform the area control, which is related to the area control.
  • the processing includes the following steps S301-S303: Step S301, receiving device location information sent by the smart home data collection device;
  • Step S302 determining control logic for jointly controlling devices of different users in a set area, where the control logic includes an expected device state under pre-configured environment parameters;
  • Step S303 Determine, according to the outdoor environment parameter information sent by the smart home data collecting device of any one or more users, the current environment parameter of the area, and determine, according to the joint control logic of the area, the current device of the device of any user in the area. If the status is not the expected device status under the current environmental parameter, a control command is sent to the user's smart home control device to automatically adjust the current device status to the expected device status.
  • an embodiment of the present invention provides a smart home control method, which is applied to a smart home control system, where the smart home control system includes a smart home data collection device and a smart home control device, and the method includes:
  • the smart home data collection device sends environmental parameter information and device status information to the remote server.
  • the smart home control device receives the control command sent by the remote server, and automatically adjusts the current device state to the expected device state under the pre-configured environment parameter.
  • the method can also include the following features:
  • the smart home data collection device further sends scenario parameter information to the remote server, wherein the scenario parameter includes one of a user presence, a user location, and a user behavior. Kind or more.
  • the smart home data collection device in order to perform the zone control in conjunction with the remote server, the smart home data collection device also transmits the device location information to the remote server.
  • the environmental parameter includes one or more of the following parameters: temperature, humidity, or light intensity.
  • the smart home data collecting device sends the environmental parameter information and the device state information to the remote server, including: the smart home data collecting device actively sends the environmental parameter information and the device state information to the remote server, or the smart home data collection After receiving the query command from the remote server, the device collects the environmental parameter information and the device status information, and then reports the information.
  • the smart home control system performs two-way communication with the remote server through the data network of the operator; the communication mode is any one of the following communication modes: short message, multimedia message, internet, or wireless basic communication mode.
  • a remote server including: a data collection module 31 and a first service module 32.
  • the first service module 32 includes a first self-learning unit 321 and a first control unit 322. :
  • a data collection module 31 configured to receive environmental parameters sent by the smart home data collection device Information and device status information, and the environment parameter information and the device status information are associated and saved as historical data;
  • a first self-learning unit 321 configured to learn from the historical data to establish a user-to-device control logic, where the control logic includes a device state expected under a pre-configured environment parameter; a first control unit 322, which is configured Receiving the environmental parameter information and the device state information sent by the smart home data collecting device, if determining, according to the control logic, that the current device state is not the expected device state under the current environmental parameter, sending a control command to the smart home control device, The current device state is automatically adjusted to the expected device state.
  • the remote server can also include the following features:
  • the remote server further includes a second service module 33 for performing scene control, and the second service module 33 includes a second self-learning unit 331 and a second control unit 332:
  • the data collection module 31 is further configured to receive the scenario parameter information sent by the smart home data collection device, save the scenario parameter information and the device state information, or set the scenario parameter information, the environment parameter information, and the device state information.
  • the association is saved as historical data; wherein the scene parameters include one or more of whether the user appears, the user location, and the user behavior; and the second self-learning unit 331 is configured to learn from the historical data.
  • Establishing control logic of the user to the device where the control logic includes an expected device state under a preset scenario parameter, or a pre-configured scenario parameter and an expected device state under the environmental parameter;
  • a second control unit 332 configured to receive scenario parameter information and device state information sent by the smart home data collection device, or scenario parameter information, environment parameter information, and device state information sent by the smart home data collection device, if The control logic determines that the current device state is not the expected device state under the current scene parameter, or is not the current scene parameter and the expected device state under the environmental parameter, and sends a control command to the smart home control device to automatically adjust the current device state to The expected device status.
  • the remote server further includes a third service module 34 for performing zone control, and the third service module 34 includes a third self-learning unit 341 and a third control unit 342:
  • the data collection module 31 is further configured to receive device location information sent by the smart home data collection device; a third self-learning unit 341 configured to determine control logic for jointly controlling devices of different users in a set area, where the control logic includes an expected device state under pre-configured environment parameters;
  • a third control unit 342 configured to determine an current environmental parameter of the area according to the outdoor environment parameter information sent by the smart home data collecting device of any one or more users, if the joint control logic of the area determines that the area is arbitrary If the current device state of the user's device is not the expected device state under the current environment parameter, a control command is sent to the user's smart home control device, and the current device state is automatically adjusted to the expected device state.
  • the learning from the historical data to establish a user-to-device control logic includes: calculating, according to historical data of a set time span and/or a number of samples, a frequency of occurrence of the statistical device under pre-configured environmental parameters The highest operating state, the operating state with the highest frequency of occurrence is taken as the expected device state of the device under pre-configured environmental parameters.
  • the learning from the historical data to establish a user-to-device control logic includes: classifying the device, pre-configuring each type of device to be associated with the corresponding environmental parameter, and the statistical device is pre-configured. The operating state with the highest frequency appears under the environmental parameters, and only the running status of one or more types of devices associated with the pre-configured environmental parameters is counted.
  • an embodiment of the present invention provides a smart home control system, including: a smart home data collection device 41 configured to send environmental parameter information and device state information to a remote server;
  • the smart home control device 42 is configured to receive a control command sent by the remote server to automatically adjust the current device state to the expected device state under the pre-configured environmental parameters.
  • the smart home control system can also include the following features:
  • the smart home data collection device 41 is further configured to send scene parameter information to the remote server; wherein the scene parameters include whether the user appears, the user location, and the user One or more of the behaviors.
  • the smart home data collection device is further configured to send the device location information to the remote server.
  • the environmental parameter includes one or more of the following parameters: temperature, humidity, or light intensity Degree.
  • the foregoing embodiment provides a smart home control method, a control system, and a remote server.
  • the smart home control system reports environment parameters and device information to a remote server, and the remote server associates the received information as historical data from the historical data.
  • Learning, establishing user control logic for the device, adaptively controlling the running state of the device according to the control logic, can improve the intelligent level of the smart home device control, and improve the user experience.
  • the remote server can also perform scene-related control and zone joint control on the smart home device, enriching the form of smart home device control.
  • each module/unit in the foregoing embodiment may be implemented in the form of hardware, or may use software functions.
  • the form of the module is implemented. The invention is not limited to any specific form of combination of hardware and software.
  • a smart home control method, a control system, and a remote server are provided by an embodiment of the present invention.
  • the smart home control system reports environmental parameters and device information to a remote server, and the remote server establishes the device in advance through artificial intelligence technologies such as machine learning.
  • the control logic in the configured environment adaptively controls the running state of the device according to the control logic, which can improve the intelligent level of the smart home device control and improve the user experience.

Abstract

L'invention concerne un procédé de commande de meuble intelligent, utilisé dans un serveur à distance. Le procédé comprend les étapes suivantes : réception d'informations de paramètres environnementaux et d'informations de statut de dispositif envoyées par un appareil de collecte de données de meuble intelligent, puis stockage, de manière associative, des informations de paramètres environnementaux et des informations de statut de dispositif sous forme d'informations historiques ; apprentissage, à partir des données historiques, afin d'établir la logique de commande de l'utilisateur vers le dispositif, la logique de commande comprenant le statut attendu du dispositif avec des paramètres environnementaux pré-configurés ; réception d'informations de paramètres environnementaux et d'informations de statut de dispositif envoyées par l'appareil de collecte de données de meuble intelligent et, s'il est déterminé, sur la base de la logique de commande, que le statut actuel de dispositif n'est pas le statut attendu du dispositif avec les paramètres environnementaux actuels, envoi d'une instruction de commande à l'appareil de commande de meuble intelligent afin qu'il ajuste automatiquement le statut actuel du dispositif vers le statut attendu du dispositif.
PCT/CN2014/078602 2013-12-12 2014-05-28 Procédé de commande de meuble intelligent, système de commande et serveur à distance WO2015085724A1 (fr)

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CN201310684198.5A CN104714504A (zh) 2013-12-12 2013-12-12 智能家居控制方法、控制系统和远程服务器

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CN105099840A (zh) * 2015-07-31 2015-11-25 小米科技有限责任公司 智能家居场景的设置方法及装置
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