WO2021196612A1 - 一种设备驱动方法、装置、计算机设备及计算机可读存储介质 - Google Patents

一种设备驱动方法、装置、计算机设备及计算机可读存储介质 Download PDF

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Publication number
WO2021196612A1
WO2021196612A1 PCT/CN2020/126559 CN2020126559W WO2021196612A1 WO 2021196612 A1 WO2021196612 A1 WO 2021196612A1 CN 2020126559 W CN2020126559 W CN 2020126559W WO 2021196612 A1 WO2021196612 A1 WO 2021196612A1
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WIPO (PCT)
Prior art keywords
signal strength
target device
cloud server
candidate
router
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PCT/CN2020/126559
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English (en)
French (fr)
Inventor
陈海平
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深圳创维－Rgb电子有限公司
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Publication of WO2021196612A1 publication Critical patent/WO2021196612A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/4401—Bootstrapping
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/28—Constructional details of speech recognition systems
    • G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
    • 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
    • H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
    • 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
    • H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
    • H04L12/282—Controlling appliance services of a home automation network by calling their functionalities based on user interaction within the home
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/52—Network services specially adapted for the location of the user terminal
    • 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
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223—Execution procedure of a spoken command

Definitions

  • This application relates to the field of smart device control, and in particular to a device driving method, device, computer device, and computer-readable storage medium.
  • the solution in the prior art requires the user to first start all the home equipment in the space, and then judge the distance to the sounding position based on the sensor of the immovable equipment (home equipment, such as TV, air conditioner) or the size of the sound waveform when the user wakes up , Select home equipment.
  • This method needs to start all the devices in the fixed space first, and the preparation time required for each device selection is long, and it relies on multiple sound pickup modules set in the fixed space to analyze the user's voice position. Affected by obstructions Larger, low accuracy.
  • one of the objectives of the present application is to provide a device driving method, device, computer device, and computer-readable storage medium, which are used to at least solve the problem of how to improve the accuracy of device selection in the prior art.
  • the embodiments of the present application provide a device driving method, which is applied to a smart home system.
  • the smart home system includes a cloud server, a mobile control terminal, multiple smart home devices, and routers; the cloud server and the The mobile control terminal and the plurality of smart home devices are in communication connection; the router is respectively communicatively connected with the mobile control terminal and the plurality of smart home devices; the position of the router and the smart home devices is relatively unchanged,
  • the method includes:
  • the cloud server determines the predicted moving position of the mobile control terminal according to the change trend of the signal strength
  • the cloud server drives the target device corresponding to the predicted moving position among the plurality of smart home devices to start.
  • the cloud server driving the target device corresponding to the predicted moving position among the plurality of smart home devices to start includes:
  • the cloud server recognizes the device type keywords in the voice information sent by the user through the mobile control terminal, and determines the target device type;
  • the cloud server screens out at least one candidate device that meets the target device type from the multiple smart home devices
  • the cloud server drives the target device corresponding to the predicted moving position among the candidate devices to start.
  • the cloud server drives the target device corresponding to the predicted moving position among the candidate devices to start, including:
  • the cloud server determines the target device corresponding to the predicted movement position according to the signal strength between each candidate device and the router, the signal strength change trend, and the predicted movement position, and drives all the target devices corresponding to the predicted movement position.
  • the target device starts.
  • the target corresponding to the predicted moving position is determined according to the signal strength between each candidate device and the router, the change trend of the signal strength, and the predicted moving position Device, and drive the target device to start, including:
  • the cloud server will select the device with the weakest signal strength between the cloud server and the router as the target device in the predicted moving position, and drive it The target device starts.
  • the cloud server determines that it corresponds to the predicted moving position according to the signal strength between each candidate device and the router, the signal strength change trend, and the predicted moving position.
  • the target device of and driving the target device to start includes:
  • the cloud server will use the candidate device with the strongest signal strength between the cloud server and the router as the target device in the predicted moving position, and drive it The target device starts.
  • the cloud server drives the target device corresponding to the predicted moving position among the candidate devices to start, including:
  • the cloud server takes the candidate device with the strongest ability to implement the target function in the predicted moving position as the target device, and drives the target device to start, wherein the target function is critical to the device type The function of the word.
  • the cloud server drives the target device corresponding to the predicted moving position among the candidate devices to start, including:
  • the cloud server obtains the near field communication signal strength between the mobile control terminal and the candidate device, and converts the The candidate device with the strongest near field communication signal strength is used as the target device.
  • an embodiment of the present application provides a device driving device, which is applied to a smart home system.
  • the smart home system includes a cloud server, a mobile control terminal, multiple smart home devices, and routers; the cloud server and the The mobile control terminal and the plurality of smart home devices are in communication connection; the router is respectively communicatively connected with the mobile control terminal and the plurality of smart home devices; the position of the router and the smart home devices is relatively unchanged,
  • the device includes:
  • An obtaining module configured to obtain a signal strength change trend between the mobile control terminal and the router
  • a calculation module configured to determine the predicted moving position of the mobile control terminal according to the change trend of the signal strength
  • the driving module is configured to drive the target device corresponding to the predicted moving position among the plurality of smart home devices to start.
  • the driving module includes:
  • the recognition unit is used to recognize the device type keywords in the voice information sent by the user through the mobile control terminal, and determine the target device type;
  • a screening unit configured to screen out at least one candidate device that meets the target device type from the multiple smart home devices
  • the starting unit is used to drive the target device corresponding to the predicted moving position among the to-be-selected devices to start.
  • the method for the startup unit to drive the target device corresponding to the predicted moving position in the candidate device to start includes:
  • the signal strength change trend and the predicted moving position determine the target device corresponding to the predicted moving position, and drive the target device to start .
  • the starting unit includes:
  • the first judging subunit is configured to, when the signal strength change trend is that the signal strength becomes stronger, the candidate device with the weakest signal strength between it and the router in the predicted moving position is used as the target Device, and drive the target device to start.
  • the starting unit includes:
  • the second judging subunit is configured to, when the signal strength change trend is that the signal strength becomes weak, the cloud server will be the candidate device with the strongest signal strength between the cloud server and the router in the predicted moving position As the target device, and drive the target device to start.
  • the method for the startup unit to drive the target device corresponding to the predicted moving position in the candidate device to start includes:
  • the candidate device with the strongest ability to implement the target function is used as the target device, and the target device is driven to start, wherein the target function is a function corresponding to the device type keyword .
  • the starting unit includes:
  • the selection subunit is configured to obtain the near field communication between the mobile control terminal and the candidate device when there are at least two candidate devices that meet the conditions of the target device in the predicted moving position Signal strength, the candidate device with the strongest near-field communication signal strength is used as the target device.
  • an embodiment of the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and running on the processor.
  • the processor executes the computer program, The steps of the method described in any one of the foregoing first aspect and related implementation manners are implemented.
  • an embodiment of the present application provides a computer-readable storage medium having a computer program stored on the computer-readable storage medium, and when the computer program is run by a processor, the first aspect and related implementations thereof are executed Any of the steps of the method.
  • the device driving method, device, computer device, and computer-readable storage medium proposed in the embodiments of this application use the signal strength between each device and the router to determine the relative position between each device and the router, and control by moving in a fixed space
  • the change trend of the signal strength between the terminal and the router predicts the user's expected moving position, and confirms the target device in the expected moving position according to the relative position of each smart home device and the router in the fixed space.
  • This method improves the accuracy of device selection, and because the device is selected for driving according to the prediction made by the user's moving position, the user's convenience in use is improved.
  • FIG. 1 is a schematic flowchart of a device driving method provided by an embodiment of the application
  • FIG. 2 is a schematic flowchart of a device driving method provided by an embodiment of the application
  • FIG. 3 is a schematic structural diagram of a device driving device provided by an embodiment of the application.
  • FIG. 4 is a schematic structural diagram of a computer device provided by an embodiment of this application.
  • the embodiment of the application provides a device driving method, which is applied to a smart home system.
  • the smart home system includes a cloud server, a mobile control terminal, multiple smart home devices, and routers;
  • a smart home device is in communication connection; the router is respectively connected to the mobile control terminal and the multiple smart home devices; the position of the router and the smart home device is relatively unchanged, as shown in Figure 1, including the following steps:
  • Step S101 The cloud server obtains the signal strength change trend between the mobile control terminal and the router;
  • Step S102 The cloud server determines the predicted moving position of the mobile control terminal according to the change trend of the signal strength
  • Step S103 The cloud server drives the target device corresponding to the predicted moving position among the multiple smart home devices to start.
  • the signal strength change trend is the change trend of the signal strength obtained after the mobile control terminal continuously collects the signal strength between the router and the router within a certain period of time.
  • the signal strength change trend can reflect the user When the signal strength trend is gradually becoming stronger, it means that the user is gradually approaching the location of the router; when the signal strength trend is gradually becoming weaker, it means that the user is gradually moving away from the location of the router.
  • the signal strength change trend may be obtained by analyzing the cloud server, or may be obtained by analyzing the mobile control terminal and then uploading to the cloud server, or it may be obtained by means, which is not specifically limited here.
  • step S102 the predicted moving position is based on the last position corresponding to the signal strength between the routers collected by the mobile control terminal as the starting point and combined with the signal strength change trend to predict the user moving area, when the signal strength change trend is When gradually becoming stronger, the predicted moving position is all or part of the area from the above-mentioned end position to the router; when the signal strength trend is gradually weakening, the predicted moving position is further away from the above-mentioned end position to all or part of the router.
  • the target device is at least one smart home device that meets the needs of the user in the predicted moving position.
  • the cloud server obtains the signal strength change trend, analyzes and obtains the predicted movement position of the mobile console, that is, the user's predicted movement area, and then drives the predicted movement position to match the user
  • the activation of the required smart home equipment avoids the situation in which multiple sound pickup modules are used in the traditional solution to judge the user's position to be easily interfered, and the accuracy of device selection is improved, thereby improving the user's convenience in use.
  • step S103 includes:
  • Step S1031 The cloud server recognizes the device type keywords in the voice information sent by the user through the mobile control terminal, and determines the target device type;
  • Step S1032 the cloud server selects at least one candidate device that meets the target device type from the multiple smart home devices;
  • Step S1033 The cloud server drives the target device corresponding to the predicted moving position among the candidate devices to start.
  • the cloud server may extract the device type keywords by semantically recognizing the user's voice information, and obtain the target device type by querying the mapping relationship between the device type keywords and the device type. For example, if the user says "I want to listen to music", the device type keyword can be extracted as "music”.
  • the target device type that can be obtained can be a smart speaker, or it can include other smart home devices that also have the ability to play music (such as Smart TV).
  • the corresponding devices are selected from all smart home devices in the fixed space as candidate devices, and the best device in the predicted moving position is selected as the target device to start.
  • the method for determining the best device can be determined according to actual needs.
  • the optimal device may be based on the relative distance from the mobile control terminal as a priority condition, or may be based on the ability of the smart home device to implement the function corresponding to the device type keyword as the priority condition.
  • the cloud server determines that it corresponds to the predicted moving position according to the signal strength between each candidate device and the router, the signal strength change trend, and the predicted moving position. And drive the target device to start.
  • the relative distance between the candidate device in the predicted moving position and the mobile control terminal can be used as a priority condition to determine and start the target device.
  • the cloud server uses the candidate device with the strongest ability to implement the target function in the predicted moving position as the target device, and drives the target device to start.
  • the target function is a function corresponding to the device type keyword. For example, for "music", the target function is music playback capability, and smart speakers have the strongest music playback capability.
  • the ability to realize the target function of the candidate device in the predicted moving position can be taken as a priority condition, so as to determine and start the target device.
  • the following is an example of the scheme that takes the relative distance from the mobile control terminal as the priority condition:
  • step S1033 may include:
  • Step 201 When the signal strength change trend is that the signal strength becomes stronger, the cloud server will use the candidate device with the weakest signal strength between the router and the router in the predicted moving position as the target device, and drive the target device. The device starts.
  • Step 202 When the signal strength change trend is that the signal strength becomes weaker, the cloud server will use the candidate device with the strongest signal strength between it and the router in the predicted moving position as the target device, and drive the target device. The device starts.
  • the candidate device closest to the current position of the mobile control terminal among the expected moving positions of the mobile control terminal as the target device .
  • the signal strength between the device and the router is used as the relative position of the device and the router. Therefore, when the signal strength trend is that the signal strength becomes stronger, it means that the user is close to the router, which is the closest to the mobile control.
  • the target device at the current location of the terminal is the candidate device with the weakest signal strength and the farthest relative position from the router in the predicted moving location; when the signal strength trend is weaker, it means that the user is far away
  • the location of the router, the target device closest to the current location of the mobile control terminal, is the candidate device with the strongest signal strength and the closest relative location to the router in the predicted mobile location.
  • step S1033 may include:
  • Step 203 When there are at least two candidate devices that meet the conditions of the target device in the predicted moving position, the cloud server obtains the near field communication signal strength between the mobile control terminal and the candidate device, and the near field The candidate device with the strongest communication signal strength is used as the target device.
  • the signal strength between two or more candidate devices and the router is the same, and they are all closest in the expected moving location Move the device at the current location of the console.
  • This situation is due to the fact that although the signal strengths between the several candidate devices and the router are the same, it may be that some devices are blocked by objects or walls, which weaken the signal strength with the router.
  • the signal strength assistance of the near field communication (such as Bluetooth) between the mobile control terminal and the candidate device can be used to determine the candidate device of the closest mobile control terminal.
  • the embodiment of the present application also provides a device driving device, which is applied to a smart home system.
  • the smart home system includes a cloud server, a mobile control terminal, multiple smart home devices and routers; the cloud server is respectively connected to the mobile control terminal and the above Multiple smart home devices are in communication connection; the router is respectively connected to the mobile control terminal and the multiple smart home devices; the position of the router and the smart home device is relatively unchanged, as shown in FIG. 3, the device may include:
  • the obtaining module 30 is configured to obtain the signal strength change trend between the mobile control terminal and the router;
  • the calculation module 31 is configured to determine the predicted moving position of the mobile control terminal according to the above-mentioned signal strength change trend
  • the driving module 32 is configured to drive the target device corresponding to the predicted moving position among the multiple smart home devices to start.
  • the above-mentioned driving module 32 may include:
  • the recognition unit 321 is configured to recognize the device type keywords in the voice information sent by the user through the mobile control terminal, and determine the target device type;
  • the screening unit 322 is configured to screen out at least one candidate device that meets the above-mentioned target device type from the above-mentioned multiple smart home devices;
  • the starting unit 323 is configured to drive the target device corresponding to the predicted moving position among the candidate devices to be started.
  • the startup unit 323 drives the target device corresponding to the predicted moving position among the candidate devices to start, including:
  • the signal strength change trend and the predicted moving position determine the target device corresponding to the predicted moving position, and drive the target device to start .
  • the above-mentioned starting unit 323 may include:
  • the first judging subunit 3231 is configured to select the candidate device with the weakest signal strength between the router and the router in the predicted moving position as the target device when the signal strength change trend is that the signal strength becomes stronger, and Drive the target device to start.
  • the second judging subunit 3232 is configured to select the candidate device with the strongest signal strength between the router and the router in the predicted moving position as the target device when the signal strength change trend is that the signal strength becomes weaker, and Drive the target device to start.
  • the startup unit 323 drives the target device corresponding to the predicted moving position among the candidate devices to start, including:
  • the candidate device with the strongest ability to implement the target function is used as the target device, and the target device is driven to start, wherein the target function is a function corresponding to the device type keyword .
  • the above-mentioned starting unit 323 includes:
  • the selection subunit 3233 is configured to obtain the near field communication signal strength between the mobile control terminal and the candidate device when there are at least two candidate devices that meet the conditions of the target device in the predicted moving position, and Use the candidate device with the strongest near-field communication signal strength as the target device.
  • an embodiment of the present application also provides a computer device 400.
  • the computer device 400 may include a memory 401, a processor 402, and stored on the memory 401 A computer program that can run on the processor 402, wherein the processor 402 implements the above-mentioned device driving method when the above-mentioned computer program is executed.
  • the above-mentioned memory 401 and the processor 402 may be general-purpose memories and processors, which are not specifically limited here.
  • the processor 402 runs the computer program stored in the memory 401, it can execute the above-mentioned device driving method, which at least solves the problem This solves the problem of how to improve the accuracy of equipment selection in the prior art.
  • an embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium stores a computer program, and the computer program executes the above-mentioned one when the computer program is run by a processor.
  • the steps of a device driving method correspond to a device drive method in FIG. 1, an embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium stores a computer program, and the computer program executes the above-mentioned one when the computer program is run by a processor. The steps of a device driving method.
  • the storage medium may be a general storage medium, such as a mobile disk, a hard disk, etc.
  • the computer program on the storage medium when the computer program on the storage medium is run, it can execute the above-mentioned device driving method, which at least solves how to improve in the prior art.
  • the problem of the accuracy of equipment selection, the device driving method, device, computer equipment, and computer-readable storage medium proposed in the embodiments of this application are used to determine the relative relationship between each device and the router based on the signal strength between each device and the router. Location, predict the user's expected mobile location based on the signal strength change trend between the mobile control terminal and the router in the fixed space, and confirm the target device in the expected mobile location based on the relative position of each smart home device and the router in the fixed space . Through this method, the accuracy of device selection is improved, and since the device is selected for driving based on the prediction made by the user's moving position, the user's convenience in use is improved.
  • the disclosed method and device may be implemented in other manners.
  • the implementation of the device described above is only illustrative.
  • the division of the units is only a logical function division, and there may be other divisions in actual implementation.
  • multiple units or components can be combined or It can be integrated into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.
  • 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, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • the functional units in the embodiments provided in this application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
  • the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
  • the technical solution of the present application essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in each implementation manner of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks and other media that can store program codes. .
  • the device driving method, device, computer device, and computer-readable storage medium proposed in the embodiments of this application use the signal strength between each device and the router to determine the relative position between each device and the router, and control by moving in a fixed space
  • the change trend of the signal strength between the terminal and the router predicts the user's expected moving position, and confirms the target device in the expected moving position according to the relative position of each smart home device and the router in the fixed space.
  • This method improves the accuracy of device selection, and because the device is selected for driving according to the prediction made by the user's moving position, the user's convenience in use is improved.

Abstract

本申请提供了一种设备驱动方法、装置、计算机设备及计算机可读存储介质，应用于智能家居系统，该智能家居系统包括云服务器、移动控制端、多个智能家居设备和路由器；所述云服务器分别与所述移动控制端以及所述多个智能家居设备通信连接；所述路由器分别与所述移动控制端以及所述多个智能家居设备通信连接；所述路由器与所述智能家居设备的位置相对不变，该方法包括：所述云服务器获取所述移动控制端与所述路由器之间的信号强度变化趋势；所述云服务器根据所述信号强度变化趋势，确定所述移动控制端的预计移动位置；所述云服务器驱动所述多个智能家居设备中，与所述预计移动位置相对应的目标设备启动。通过该方法提高了对于设备选择的准确度，从而提高了用户的使用便捷度。

Description

一种设备驱动方法、装置、计算机设备及计算机可读存储介质
相关申请的交叉引用
本申请要求于2020年04月02日提交中国专利局的申请号为2020102566758、名称为“一种设备驱动方法及装置”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
本申请涉及智能设备控制领域，具体而言，涉及一种设备驱动方法、装置、计算机设备及计算机可读存储介质。
背景技术
随着智能家居的不断发展，对于一个固定空间内的多台智能家居设备，如何识别用户当前需要选择的智能家居设备，使得对该固定空间内的所有智能家居设备有选择性的启动成为当前迫切需要解决的一个重要问题。
现有技术中的解决方案需要用户先将空间内的所有家居设备全部启动，然后基于不可移动设备(家居设备，例如，电视，空调)的传感器或者用户唤醒时的声波形大小判断与发声位置远近，选择家居设备。该方法需要先对固定空间内的所有设备全部启动，每次进行设备选择所需的准备时间较长，并且依赖在固定空间中设置的多个拾音模块对用户发声位置进行分析受遮挡物影响较大，准确度低。
发明内容
有鉴于此，本申请的目的之一在于提供一种设备驱动方法、装置、计算机设备及计算机可读存储介质，用于至少解决现有技术中如何提高设备选择的准确度的问题。
为了实现上述目的，本申请实施例采用的技术方案如下：
第一方面，本申请实施例提供了一种设备驱动方法，应用于智能家居系统，该智能家居系统包括云服务器、移动控制端、多个智能家居设备和路由器；所述云服务器分别与所述移动控制端以及所述多个智能家居设备通信连接；所述路由器分别与所述移动控制端以及所述多个智能家居设备通信连接；所述路由器与所述智能家居设备的位置相对不变，该方法包括：
所述云服务器获取所述移动控制端与所述路由器之间的信号强度变化趋势；
所述云服务器根据所述信号强度变化趋势，确定所述移动控制端的预计移动位置；
所述云服务器驱动所述多个智能家居设备中，与所述预计移动位置相对应的目标设备启动。
在一种可能的实现方式中，所述云服务器驱动所述多个智能家居设备中，与所述预计 移动位置相对应的目标设备启动，包括：
所述云服务器识别用户通过所述移动控制端发送的语音信息中的设备类型关键词，确定目标设备类型；
所述云服务器从所述多个智能家居设备中筛选出至少一个符合所述目标设备类型的待选设备；
所述云服务器驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动。
在一种可能的实现方式中，所述云服务器驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动，包括：
所述云服务器根据各待选设备与所述路由器之间的信号强度、所述信号强度变化趋势及所述预计移动位置，确定与所述预计移动位置相对应的所述目标设备，并驱动所述目标设备启动。
在一种可能的实现方式中，根据各待选设备与所述路由器之间的信号强度、所述信号强度变化趋势及所述预计移动位置，确定与所述预计移动位置相对应的所述目标设备，并驱动所述目标设备启动，包括：
当所述信号强度变化趋势是信号强度变强时，所述云服务器将在所述预计移动位置中，与所述路由器之间的信号强度最弱的待选设备作为所述目标设备，并驱动该目标设备启动。
在一种可能的实现方式中，所述云服务器根据各待选设备与所述路由器之间的信号强度、所述信号强度变化趋势及所述预计移动位置，确定与所述预计移动位置相对应的所述目标设备，并驱动所述目标设备启动，包括：
当所述信号强度变化趋势是信号强度变弱时，所述云服务器将在所述预计移动位置中，与所述路由器之间的信号强度最强的待选设备作为所述目标设备，并驱动该目标设备启动。
在一种可能的实现方式中，所述云服务器驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动，包括：
所述云服务器将在所述预计移动位置中，目标功能的实现能力最强的待选设备作为所述目标设备，并驱动该目标设备启动，其中，所述目标功能为与所述设备类型关键词对应的功能。
在一种可能的实现方式中，所述云服务器驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动，包括：
当在所述预计移动位置中存在至少两台符合目标设备条件的待选设备时，所述云服务器获取所述移动控制端与所述待选设备之间的近场通信信号强度，将所述近场通信信号强度最强的待选设备作为目标设备。
第二方面，本申请实施例提供了一种设备驱动装置，应用于智能家居系统，该智能家 居系统包括云服务器、移动控制端、多个智能家居设备和路由器；所述云服务器分别与所述移动控制端以及所述多个智能家居设备通信连接；所述路由器分别与所述移动控制端以及所述多个智能家居设备通信连接；所述路由器与所述智能家居设备的位置相对不变，该装置包括：
获取模块，配置成获取所述移动控制端与所述路由器之间的信号强度变化趋势；
计算模块，配置成根据所述信号强度变化趋势，确定所述移动控制端的预计移动位置；
驱动模块，配置成驱动所述多个智能家居设备中，与所述预计移动位置相对应的目标设备启动。
在一种可能的实现方式中，所述驱动模块，包括：
识别单元，用于识别用户通过所述移动控制端发送的语音信息中的设备类型关键词，确定目标设备类型；
筛选单元，用于从所述多个智能家居设备中筛选出至少一个符合所述目标设备类型的待选设备；
启动单元，用于驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动。
在一种可能的实现方式中，所述启动单元驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动的方式包括：
根据各待选设备与所述路由器之间的信号强度、所述信号强度变化趋势及所述预计移动位置，确定与所述预计移动位置相对应的所述目标设备，并驱动所述目标设备启动。
在一种可能的实现方式中，所述启动单元，包括：
第一判断子单元，配置成当所述信号强度变化趋势是信号强度变强时，将在所述预计移动位置中，与所述路由器之间的信号强度最弱的待选设备作为所述目标设备，并驱动该目标设备启动。
在一种可能的实现方式中，所述启动单元，包括：
第二判断子单元，配置成当所述信号强度变化趋势是信号强度变弱时，所述云服务器将在所述预计移动位置中，与所述路由器之间的信号强度最强的待选设备作为所述目标设备，并驱动该目标设备启动。
在一种可能的实现方式中，所述启动单元驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动的方式包括：
将在所述预计移动位置中，目标功能的实现能力最强的待选设备作为所述目标设备，并驱动该目标设备启动，其中，所述目标功能为与所述设备类型关键词对应的功能。
在一种可能的实现方式中，所述启动单元，包括：
选择子单元，配置成当在所述预计移动位置中存在至少两台符合目标设备条件的待选 设备时，所述云服务器获取所述移动控制端与所述待选设备之间的近场通信信号强度，将所述近场通信信号强度最强的待选设备作为目标设备。
第三方面，本申请实施例提供了一种计算机设备，包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现上述第一方面及其相关实现方式中任一项所述的方法的步骤。
第四方面，本申请实施例提供了一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器运行时执行上述第一方面及其相关实现方式任一项所述的方法的步骤。
本申请实施例提出的一种设备驱动方法、装置、计算机设备及计算机可读存储介质，以各设备与路由器之间的信号强度判断各设备与路由器之间的相对位置，通过固定空间内移动控制端与路由器之间的信号强度变化趋势预测用户的预计移动位置，并根据该固定空间内的各智能家居设备与路由器的相对位置来确认预计移动位置中的目标设备。通过该方法提高了对于设备选择的准确度，并且由于是根据用户的移动位置做出的预测来选择设备进行驱动，提高了用户的使用便捷度。
为使本申请的上述目的、特征和优点能更明显易懂，下文特举可选实施例，并配合所附附图，作详细说明如下。
附图说明
为了更清楚地说明本申请实施例的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，应当理解，以下附图仅示出了本申请的某些实施方式，因此不应被看作是对范围的限定，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他相关的附图。
图1为本申请实施例提供的一种设备驱动方法的流程示意图；
图2为本申请实施例提供的一种设备驱动方法的流程示意图；
图3为本申请实施例提供的一种设备驱动装置的结构示意图；
图4为本申请实施例提供的一种计算机设备的结构示意图。
具体实施方式
为使本申请实施例的目的、技术方案和优点更加清楚，下面将结合本申请实施例中附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的本实施例中介绍的各实现方式仅是一部分可能的实现方式，而不是全部的实现方式。通常在此处附图中描述和示出的本申请实施例的组件可以以各种不同的配置来布置和设计。因此，以下对在附图中提供的本申请的实施例的详细描述并非旨在限制要求保护的本申请的范围，而是仅仅表示本申请的可选实施例。基于本申请实施例的实现方式，本领域技术人员在没有做出 创造性劳动的前提下所获得的所有其他实现方式，都属于本申请保护的范围。
本申请实施例提供了一种设备驱动方法，应用于智能家居系统，该智能家居系统包括云服务器、移动控制端、多个智能家居设备和路由器；上述云服务器分别与上述移动控制端以及上述多个智能家居设备通信连接；上述路由器分别与上述移动控制端以及上述多个智能家居设备通信连接；上述路由器与上述智能家居设备的位置相对不变，如图1所示，包括以下步骤：
步骤S101、上述云服务器获取上述移动控制端与上述路由器之间的信号强度变化趋势；
步骤S102、上述云服务器根据上述信号强度变化趋势，确定上述移动控制端的预计移动位置；
步骤S103、上述云服务器驱动上述多个智能家居设备中，与上述预计移动位置相对应的目标设备启动。
其中，在步骤S101中，信号强度变化趋势是通过移动控制端在一定时间内多次连续采集与路由器之间的信号强度后，得到的信号强度的变化趋势，该信号强度变化趋势能够体现出用户的移动趋势，该信号强度变化趋势是逐渐变强时，则说明用户正在逐渐靠近路由器的位置；该信号强度变化趋势是逐渐变弱时，则说明用户正在逐渐远离路由器的位置。该信号强度变化趋势可以是由云服务器分析得到的，也可以是由移动控制端分析得出后再上传至云服务器的，还可以通过方式得到，在此不做具体限定。
在步骤S102中，预计移动位置是以移动控制端最后一次采集的与路由器之间的信号强度对应的末位置为起点并结合信号强度变化趋势，预测得到的用户移动区域，当信号强度变化趋势是逐渐变强时，预计移动位置是从上述末位置到路由器之间的全部或部分区域；当信号强度变化趋势是逐渐变弱时，预计移动位置是从上述末位置继续远离路由器全部或部分区域。
在步骤S103中，目标设备是在预计移动位置中符合用户需求的至少一台智能家居设备。
在用户使用移动控制端发起智能家居设备的启动请求时，云服务器通过获取信号强度变化趋势，分析得到移动控制端的预计移动位置，也就是用户的预计移动区域，然后驱动该预计移动位置中符合用户需求的智能家居设备启动，避免了传统方案中以多个拾音模块判断用户位置容易受到干扰的情况，提高了设备选择的准确度，从而提高了用户的使用便捷度。
在一种可能的实现方式中，步骤S103，可以如图2所示，包括：
步骤S1031、上述云服务器识别用户通过上述移动控制端发送的语音信息中的设备类型关键词，确定目标设备类型；
步骤S1032、上述云服务器从上述多个智能家居设备中筛选出至少一个符合上述目标 设备类型的待选设备；
步骤S1033、上述云服务器驱动上述待选设备中，与上述预计移动位置相对应的目标设备启动。
可选地，云服务器可以通过对用户的语音信息进行语义识别，提取设备类型关键词，并通过查询设备类型关键词与设备类型的映射关系，可以得到目标设备类型。例如，用户说“我想听音乐”，那么可以提取出设备类型关键词是“音乐”，可以得到的目标设备类型可以是智能音响，也可以包含同样具备音乐播放能力的其他智能家居设备(如智能电视)。
根据目标设备类型，从该固定空间内的所有智能家居设备中将对应的设备筛选出来，作为待选设备，并选取预计移动位置中的最佳设备作为目标设备启动。可选地，该最佳设备的确定方式可以根据实际需求确定。比如，该最佳设备可以是以与移动控制端之间的相对距离为优先条件，也可以是以智能家居设备的对于设备类型关键词对应的功能的实现能力为优先条件。
在一种可能的实现方式中，所述云服务器根据各待选设备与所述路由器之间的信号强度、所述信号强度变化趋势及所述预计移动位置，确定与所述预计移动位置相对应的所述目标设备，并驱动所述目标设备启动。由此，可将预计移动位置中的待选设备与移动控制端之间的相对距离作为优先条件，从而确定并启动所述目标设备。
在一种可能的实现方式中，所述云服务器将在所述预计移动位置中、目标功能的实现能力最强的待选设备作为所述目标设备，并驱动该目标设备启动。其中，所述目标功能为与所述设备类型关键词对应的功能。例如对于“音乐”来说，所述目标功能为音乐播放能力，智能音响的音乐播放能力最强。由此，可将预计移动位置中的待选设备具有的目标功能的实现能力作为优先条件，从而确定并启动所述目标设备。下面对以与移动控制端之间的相对距离为优先条件的方案进行举例说明：
在一种可能的实现方式，步骤S1033，可以包括：
步骤201、当上述信号强度变化趋势是信号强度变强时，上述云服务器将在上述预计移动位置中，与上述路由器之间的信号强度最弱的待选设备作为上述目标设备，并驱动该目标设备启动。
步骤202、当上述信号强度变化趋势是信号强度变弱时，上述云服务器将在上述预计移动位置中，与上述路由器之间的信号强度最强的待选设备作为上述目标设备，并驱动该目标设备启动。
在该实现方式中，在以与移动控制端之间的相对距离为优先条件的方案中，需要选择在移动控制端的预计移动位置中，与移动控制端当前位置最接近的待选设备作为目标设备。在本申请中是以设备与路由器之间的信号强度作为设备与路由器的相对位置，因此，在信 号强度变化趋势是信号强度变强的情况下，说明用户在接近路由器的位置，最接近移动控制端当前位置的目标设备，就是在预计移动位置中与路由器之间的信号强度最弱、相对位置最远的待选设备；在信号强度变化趋势是信号强度变弱的情况下，说明用户在远离路由器的位置，最接近移动控制端当前位置的目标设备，就是在预计移动位置中与路由器之间的信号强度最强、相对位置最近的待选设备。
在一种可能的实现方式中，步骤S1033，可以包括：
步骤203、当在上述预计移动位置中存在至少两台符合目标设备条件的待选设备时，上述云服务器获取上述移动控制端与上述待选设备之间的近场通信信号强度，将上述近场通信信号强度最强的待选设备作为目标设备。
可选地，在某些特殊情况下，由于路由器在固定空间的设置位置，可能出现两台或两台以上待选设备与路由器之间的信号强度相同，且都是在预计移动位置中最接近移动控制端当前位置的设备。该状况是由于几台待选设备与路由器之间的信号强度虽然相同，但有可能是因为某些设备受到物体或墙体遮挡而导致的与路由器之间的信号强度削弱。在该情况下，可以通过移动控制端与待选设备近场通信(如蓝牙)的信号强度辅助，来判断最接近的移动控制端的待选设备。
本申请实施例还提供了一种设备驱动装置，应用于智能家居系统，该智能家居系统包括云服务器、移动控制端、多个智能家居设备和路由器；上述云服务器分别与上述移动控制端以及上述多个智能家居设备通信连接；上述路由器分别与上述移动控制端以及上述多个智能家居设备通信连接；上述路由器与上述智能家居设备的位置相对不变，如图3所示，该装置可以包括：
获取模块30，配置成获取上述移动控制端与上述路由器之间的信号强度变化趋势；
计算模块31，配置成根据上述信号强度变化趋势，确定上述移动控制端的预计移动位置；
驱动模块32，配置成驱动上述多个智能家居设备中，与上述预计移动位置相对应的目标设备启动。
在一种可能的实现方式中，上述驱动模块32，可以包括：
识别单元321，用于识别用户通过上述移动控制端发送的语音信息中的设备类型关键词，确定目标设备类型；
筛选单元322，用于从上述多个智能家居设备中筛选出至少一个符合上述目标设备类型的待选设备；
启动单元323，用于驱动上述待选设备中，与上述预计移动位置相对应的目标设备启动。
在一种可能的实现方式中，所述启动单元323驱动所述待选设备中，与所述预计移动 位置相对应的目标设备启动的方式包括：
根据各待选设备与所述路由器之间的信号强度、所述信号强度变化趋势及所述预计移动位置，确定与所述预计移动位置相对应的所述目标设备，并驱动所述目标设备启动。
在一种可能的实现方式中，上述启动单元323，可以包括：
第一判断子单元3231，用于当上述信号强度变化趋势是信号强度变强时，将在上述预计移动位置中，与上述路由器之间的信号强度最弱的待选设备作为上述目标设备，并驱动该目标设备启动。
第二判断子单元3232，用于当上述信号强度变化趋势是信号强度变弱时，将在上述预计移动位置中，与上述路由器之间的信号强度最强的待选设备作为上述目标设备，并驱动该目标设备启动。
在一种可能的实现方式中，所述启动单元323驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动的方式包括：
将在所述预计移动位置中，目标功能的实现能力最强的待选设备作为所述目标设备，并驱动该目标设备启动，其中，所述目标功能为与所述设备类型关键词对应的功能。
在一种可能的实现方式中，上述启动单元323，包括：
选择子单元3233，配置成当在上述预计移动位置中存在至少两台符合目标设备条件的待选设备时，上述云服务器获取上述移动控制端与上述待选设备之间的近场通信信号强度，将上述近场通信信号强度最强的待选设备作为目标设备。
对应于图1中的一种设备驱动方法，本申请实施例还提供了一种计算机设备400，如图4所示，该计算机设备400可以包括存储器401、处理器402及存储在该存储器401上并可在该处理器402上运行的计算机程序，其中，上述处理器402执行上述计算机程序时实现上述一种设备驱动方法。
可选地，上述存储器401和处理器402可以为通用的存储器和处理器，这里不做具体限定，当处理器402运行存储器401存储的计算机程序时，能够执行上述一种设备驱动方法，至少解决了现有技术中如何提高设备选择的准确度的问题。
对应于图1中的一种设备驱动方法，本申请实施例还提供了一种计算机可读存储介质，该计算机可读存储介质上存储有计算机程序，该计算机程序被处理器运行时执行上述一种设备驱动方法的步骤。
可选地，该存储介质可以为通用的存储介质，如移动磁盘、硬盘等，该存储介质上的计算机程序被运行时，能够执行上述一种设备驱动方法，至少解决了现有技术中如何提高设备选择的准确度的问题，本申请实施例提出的一种设备驱动方法、装置、计算机设备及计算机可读存储介质，以各设备与路由器之间的信号强度判断各设备与路由器之间的相对 位置，通过固定空间内移动控制端与路由器之间的信号强度变化趋势预测用户的预计移动位置，并根据该固定空间内的各智能家居设备与路由器的相对位置来确认预计移动位置中的目标设备。通过该方法提高了对于设备选择的准确度，并且由于是根据用户的移动位置做出的预测来选择设备进行驱动，提高了用户的使用便捷度。
在本申请所提供的实现方式中，应该理解到，所揭露方法和装置，可以通过其它的方式实现。以上所描述的装置实现方式仅仅是示意性的，例如，所述单元的划分，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，又例如，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通信接口，装置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，在本申请提供的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。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实现方式所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
应注意到：相似的标号和字母在下面的附图中表示类似项，因此，一旦某一项在一个附图中被定义，则在随后的附图中不需要对其进行进一步定义和解释，此外，术语“第一”、“第二”、“第三”等仅用于区分描述，而不能理解为指示或暗示相对重要性。
最后应说明的是：以上所述实施例，仅为本申请的具体实施方式，用以说明本申请的技术方案，而非对其限制，本申请的保护范围并不局限于此，尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，其依然可以对前述实施例所记载的技术方案进行修改或可轻易想到变化，或者对其中部分技术特征进行等同替换；而这些修改、变化或者替换，并不使相应技术方案的本质脱离本申请实施例技术方案的精神和范围。都应涵盖在本申请的保 护范围之内。因此，本申请的保护范围应所述以权利要求的保护范围为准。
工业实用性
本申请实施例提出的一种设备驱动方法、装置、计算机设备及计算机可读存储介质，以各设备与路由器之间的信号强度判断各设备与路由器之间的相对位置，通过固定空间内移动控制端与路由器之间的信号强度变化趋势预测用户的预计移动位置，并根据该固定空间内的各智能家居设备与路由器的相对位置来确认预计移动位置中的目标设备。通过该方法提高了对于设备选择的准确度，并且由于是根据用户的移动位置做出的预测来选择设备进行驱动，提高了用户的使用便捷度。

Claims (16)

  1. 一种设备驱动方法，其特征在于，应用于智能家居系统，该智能家居系统包括云服务器、移动控制端、多个智能家居设备和路由器；所述云服务器分别与所述移动控制端以及所述多个智能家居设备通信连接；所述路由器分别与所述移动控制端以及所述多个智能家居设备通信连接；所述路由器与所述智能家居设备的位置相对不变，该方法包括：
    所述云服务器获取所述移动控制端与所述路由器之间的信号强度变化趋势；
    所述云服务器根据所述信号强度变化趋势，确定所述移动控制端的预计移动位置；
    所述云服务器驱动所述多个智能家居设备中，与所述预计移动位置相对应的目标设备启动。
  2. 根据权利要求1所述的方法，其特征在于，所述云服务器驱动所述多个智能家居设备中，与所述预计移动位置相对应的目标设备启动，包括：
    所述云服务器识别用户通过所述移动控制端发送的语音信息中的设备类型关键词，确定目标设备类型；
    所述云服务器从所述多个智能家居设备中筛选出至少一个符合所述目标设备类型的待选设备；
    所述云服务器驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动。
  3. 根据权利要求2所述的方法，其特征在于，所述云服务器驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动，包括：
    所述云服务器根据各待选设备与所述路由器之间的信号强度、所述信号强度变化趋势及所述预计移动位置，确定与所述预计移动位置相对应的所述目标设备，并驱动所述目标设备启动。
  4. 根据权利要求3所述的方法，其特征在于，所述云服务器根据各待选设备与所述路由器之间的信号强度、所述信号强度变化趋势及所述预计移动位置，确定与所述预计移动位置相对应的所述目标设备，并驱动所述目标设备启动，包括：
    当所述信号强度变化趋势是信号强度变强时，所述云服务器将在所述预计移动位置中，与所述路由器之间的信号强度最弱的待选设备作为所述目标设备，并驱动该目标设备启动。
  5. 根据权利要求3所述的方法，其特征在于，所述云服务器根据各待选设备与所述路由器之间的信号强度、所述信号强度变化趋势及所述预计移动位置，确定与所述预计移动位置相对应的所述目标设备，并驱动所述目标设备启动，包括：
    当所述信号强度变化趋势是信号强度变弱时，所述云服务器将在所述预计移动位置中，与所述路由器之间的信号强度最强的待选设备作为所述目标设备，并驱动该目标设备启动。
  6. 根据权利要求2所述的方法，其特征在于，所述云服务器驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动，包括：
    所述云服务器将在所述预计移动位置中，目标功能的实现能力最强的待选设备作为所述目标设备，并驱动该目标设备启动，其中，所述目标功能为与所述设备类型关键词对应的功能。
  7. 根据权利要求3-6中任意一项所述的方法，其特征在于，所述云服务器驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动，包括：
    当在所述预计移动位置中存在至少两台符合目标设备条件的待选设备时，所述云服务器获取所述移动控制端与所述待选设备之间的近场通信信号强度，将所述近场通信信号强度最强的待选设备作为目标设备。
  8. 一种设备驱动装置，其特征在于，应用于智能家居系统，该智能家居系统包括云服务器、移动控制端、多个智能家居设备和路由器；所述云服务器分别与所述移动控制端以及所述多个智能家居设备通信连接；所述路由器分别与所述移动控制端以及所述多个智能家居设备通信连接；所述路由器与所述智能家居设备的位置相对不变，该装置包括：
    获取模块，配置成获取所述移动控制端与所述路由器之间的信号强度变化趋势；
    计算模块，配置成根据所述信号强度变化趋势，确定所述移动控制端的预计移动位置；
    驱动模块，配置成驱动所述多个智能家居设备中，与所述预计移动位置相对应的目标设备启动。
  9. 根据权利要求8所述的装置，其特征在于，所述驱动模块，包括：
    识别单元，配置成识别用户通过所述移动控制端发送的语音信息中的设备类型关键词，确定目标设备类型；
    筛选单元，配置成从所述多个智能家居设备中筛选出至少一个符合所述目标设备类型的待选设备；
    启动单元，配置成驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动。
  10. 根据权利要求9所述的装置，其特征在于，所述启动单元驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动的方式包括：
    根据各待选设备与所述路由器之间的信号强度、所述信号强度变化趋势及所述预计移动位置，确定与所述预计移动位置相对应的所述目标设备，并驱动所述目标设备启动。
  11. 根据权利要求10所述的装置，其特征在于，所述启动单元，包括：
    第一判断子单元，配置成当所述信号强度变化趋势是信号强度变强时，将在所述预计移动位置中，与所述路由器之间的信号强度最弱的待选设备作为所述目标设备，并驱动该目标设备启动。
  12. 根据权利要求10所述的装置，其特征在于，所述启动单元，包括：
    第二判断子单元，配置成当所述信号强度变化趋势是信号强度变弱时，所述云服务器将在所述预计移动位置中，与所述路由器之间的信号强度最强的待选设备作为所述目标设备，并驱动该目标设备启动。
  13. 根据权利要求9所述的装置，其特征在于，所述启动单元驱动所述待选设备中，与所述预计移动位置相对应的目标设备启动的方式包括：
    将在所述预计移动位置中，目标功能的实现能力最强的待选设备作为所述目标设备，并驱动该目标设备启动，其中，所述目标功能为与所述设备类型关键词对应的功能。
  14. 根据权利要求10-13中任意一项所述的装置，其特征在于，所述启动单元，包括：
    选择子单元，配置成当在所述预计移动位置中存在至少两台符合目标设备条件的待选设备时，所述云服务器获取所述移动控制端与所述待选设备之间的近场通信信号强度，将所述近场通信信号强度最强的待选设备作为目标设备。
  15. 一种计算机设备，包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现上述权利要求1-7中任一项所述的方法的步骤。
  16. 一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序，其特征在于，所述计算机程序被处理器运行时执行上述权利要求1-7中任一项所述的方法的步骤。
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080181172A1 (en) * 2007-01-26 2008-07-31 Anders Angelhag System, methods, devices and computer program products for controlling electronic appliances within a local area
CN104582176A (zh) * 2014-12-30 2015-04-29 欧普照明股份有限公司 一种无线照明控制系统及其无线照明控制方法
CN104879883A (zh) * 2015-04-30 2015-09-02 广东美的制冷设备有限公司 家电设备的控制方法、装置及终端
CN105245420A (zh) * 2015-10-22 2016-01-13 小米科技有限责任公司 控制智能家居的方法及装置
CN105246045A (zh) * 2015-10-29 2016-01-13 小米科技有限责任公司 用户位置变化的确定方法及装置
CN105911871A (zh) * 2016-04-13 2016-08-31 杭州聪普智能科技有限公司 一种基于蓝牙技术的智能家居定位控制方法
CN111475212A (zh) * 2020-04-02 2020-07-31 深圳创维－Rgb电子有限公司 一种设备驱动方法及装置

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104699065B (zh) * 2015-03-30 2017-09-29 联想(北京)有限公司 一种智能家居设备的控制方法及装置
CN104898603B (zh) * 2015-04-07 2017-12-26 联想(北京)有限公司 信息处理方法及电子设备
CN105223815B (zh) * 2015-07-22 2017-10-31 广东天诚智能科技有限公司 智能家居无线控制系统
CN105388453B (zh) * 2015-12-09 2017-10-17 小米科技有限责任公司 定位智能设备的方法及装置
CN106102006B (zh) * 2016-06-20 2020-10-27 联想(北京)有限公司 一种信息处理方法、信息交互方法、控制方法及电子设备
CN107453962A (zh) * 2017-07-04 2017-12-08 上海斐讯数据通信技术有限公司 一种智能设备的管理控制方法及管理控制系统
CN109547301A (zh) * 2018-11-14 2019-03-29 三星电子（中国）研发中心 一种用于电子设备的自动控制方法、装置及设备
CN109947031B (zh) * 2019-04-15 2020-07-28 美的集团股份有限公司 一种智能家居设备控制方法、介质、移动终端和装置

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080181172A1 (en) * 2007-01-26 2008-07-31 Anders Angelhag System, methods, devices and computer program products for controlling electronic appliances within a local area
CN104582176A (zh) * 2014-12-30 2015-04-29 欧普照明股份有限公司 一种无线照明控制系统及其无线照明控制方法
CN104879883A (zh) * 2015-04-30 2015-09-02 广东美的制冷设备有限公司 家电设备的控制方法、装置及终端
CN105245420A (zh) * 2015-10-22 2016-01-13 小米科技有限责任公司 控制智能家居的方法及装置
CN105246045A (zh) * 2015-10-29 2016-01-13 小米科技有限责任公司 用户位置变化的确定方法及装置
CN105911871A (zh) * 2016-04-13 2016-08-31 杭州聪普智能科技有限公司 一种基于蓝牙技术的智能家居定位控制方法
CN111475212A (zh) * 2020-04-02 2020-07-31 深圳创维－Rgb电子有限公司 一种设备驱动方法及装置

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