WO2016155639A1 - 智能控制装置与系统 - Google Patents

智能控制装置与系统 Download PDF

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Publication number
WO2016155639A1
WO2016155639A1 PCT/CN2016/077959 CN2016077959W WO2016155639A1 WO 2016155639 A1 WO2016155639 A1 WO 2016155639A1 CN 2016077959 W CN2016077959 W CN 2016077959W WO 2016155639 A1 WO2016155639 A1 WO 2016155639A1
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Prior art keywords
module
user
electronic device
control device
intelligent
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PCT/CN2016/077959
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English (en)
French (fr)
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徐伟强
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徐伟强
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Publication of WO2016155639A1 publication Critical patent/WO2016155639A1/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
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • 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]
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/26Pc applications
    • G05B2219/2642Domotique, domestic, home control, automation, smart house

Definitions

  • the present invention relates to an intelligent control device, and more particularly to an intelligent control device having an identity recognition function and having different control according to a user's work and rest mode.
  • Internet of Things and cloud computing have been widely used in home smart facilities, mobile terminal equipment and industrial system environments.
  • people and people can communicate with each other through the network, and people can also obtain information about objects through the network, and the Internet of Things also creates a network environment in which objects and objects can communicate with each other.
  • the Internet of Things era represents the evolution of information technology in computing and communication in the future.
  • the IoT device cannot provide the user-friendly service of the exclusive user operation behavior and habit, or the user cannot work and rest according to his own work. The time has made the IoT device have different actions, and it is not able to improve the security of the IoT device for user identification.
  • an object of the present invention is to provide an intelligent control device having a high recognition rate and capable of simultaneously identifying a user's surrounding environment and user operation behavior, and having corresponding adjustments.
  • Intelligent control device, intelligent control system and intelligent control method are provided.
  • the present invention provides an intelligent control device communicatively coupled to at least one intelligent electronic device.
  • the intelligent control device comprises an identity recognition module, a learning record module and a control module.
  • the identity module identifies the identity of at least one user.
  • the learning record module electrically connects the identification module, records and learns the user's operation on the at least one intelligent electronic device and generates a learning result.
  • the control module is coupled to the learning record module, and generates and transmits a control signal according to the learning result to control the smart electronic device.
  • the present invention provides an intelligent control device communicatively coupled to at least one intelligent electronic device.
  • the intelligent control device comprises an identity recognition module, a learning record module and a control module.
  • the identity module identifies the identity of at least one user.
  • the learning record module electrically connects the identification module, records the time when the user appears in a predetermined area to learn the work and rest mode of the user and generates a learning result.
  • the control module is coupled to the learning record module, and generates and transmits a control signal according to the learning result to control the smart electronic device.
  • the present invention provides an intelligent control system that communicatively connects at least one intelligent electronic device.
  • the intelligent control system includes a management server and an intelligent control device.
  • the intelligent control device comprises an identity recognition module, a learning record module and a control module.
  • the identity module identifies the identity of at least one user.
  • the learning record module electrically connects the identification module, records and learns the user's operation on the at least one intelligent electronic device and generates a learning result.
  • the control module is coupled to the learning record module, and generates and transmits a control signal according to the learning result to control the smart electronic device.
  • the present invention provides an intelligent control system communicatively coupled to at least one intelligent electronic device, the intelligent control system including a management server and an intelligent control device.
  • the intelligent control device can be connected to the intelligent electronic device to obtain the operation of the user when using the smart electronic device and the identity information of the user.
  • the management server is connected to the intelligent control device and includes an identity recognition module and a learning module.
  • the identity recognition module receives the identity information of the user to identify the identity of the at least one user
  • the learning record module receives the operation when the user uses the smart electronic device, and Record and learn about the user's operation to generate a learning result and transmit it to the intelligent control device. Therefore, the intelligent control device The control can generate and transmit a control signal according to the learning result to control the intelligent electronic device.
  • the present invention provides an intelligent control system communicatively coupled to at least one intelligent electronic device, the intelligent control system including a management server and an intelligent control device.
  • the intelligent control device comprises an identity recognition module, a learning record module and a control module.
  • the identity module identifies the identity of at least one user.
  • the learning record module electrically connects the identification module, records the time when the user appears in a predetermined area to learn the work and rest mode of the user and generates a learning result.
  • the control module is coupled to the learning record module, and generates and transmits a control signal according to the learning result to control the smart electronic device.
  • the present invention provides an intelligent control system communicatively coupled to at least one intelligent electronic device, the intelligent control system including a management server and an intelligent control device.
  • the intelligent control device records the time when the user appears in the predetermined area to generate recorded data and obtain the identity information of the user.
  • the management server is connected to the intelligent control device and includes an identity recognition module and a learning record module.
  • the identity recognition module receives the identity information of the user to identify the identity of at least one user
  • the learning record module receives the record data and learns the work break of the user. Time and generate a learning result is transmitted to the intelligent control device.
  • the intelligent control device generates and transmits a control signal according to the learning result to control the intelligent electronic device.
  • the present invention provides a storage medium, and the storage medium stores an application software suitable for being installed in a main device connected to at least one intelligent electronic device.
  • the application software performs at least the following steps: identifying at least one user The identity; recording and learning the user's operation of the intelligent electronic device and generating a learning result; and causing the main device to generate and transmit a control signal according to the learning result to control the intelligent electronic device.
  • the present invention provides a storage medium, and the storage medium stores an application software suitable for being installed in a main device connected to at least one intelligent electronic device.
  • the application software performs at least the following steps: identifying at least one user The identity; recording the time when the user appears in a predetermined area to learn the working and rest mode of the user and generating a learning result; and causing the main device to generate and transmit a control signal according to the learning result to control the intelligent electronic device.
  • the identity recognition module is a face recognition module, an iris recognition module, a fingerprint recognition module, a voice recognition module, or a gesture recognition module.
  • the identity recognition module includes an image capture module for capturing at least two pieces of image data
  • the intelligent control device further includes an identification module coupled to the image capture module to obtain one of the users according to the at least two image data.
  • the behavior data and at least one appearance data of the static object and obtaining an environmental data according to the appearance data of the at least one static object.
  • control module obtains an event data according to the behavior data and the environment data, and generates and transmits a control signal to the at least one intelligent electronic device according to the event data.
  • the identification module includes a motion recognition unit and an environment recognition unit.
  • the motion recognition unit obtains behavior data according to the motion of the user, and the environment recognition unit identifies at least one static object according to the appearance data, and obtains the environment data according to the identified at least one static object.
  • the environment recognition unit receives a feedback signal from the at least one intelligent electronic device, and updates the identified at least one static object according to the feedback signal.
  • the feedback signal includes an identification data of the at least one intelligent electronic device, and the environment identification unit updates the identified at least one static object according to the identification data.
  • the environment identification unit obtains a relative distance data about the at least one intelligent electronic device according to the strength of the feedback signal, and updates the identified at least one static object according to the relative distance data.
  • the action recognition unit receives a feedback signal from the at least one intelligent electronic device and updates the behavior data according to the feedback signal.
  • the intelligent control device further includes a communication module, the communication module is communicatively coupled to the communication network, and transmits the image data captured by the image capture module to a remote device to respond to a remote host's instant. Watch the demand.
  • the image data from the image capture module is directly transmitted to the user by the intelligent control device.
  • the intelligent control device further includes a storage unit, and the storage unit is electrically connected to learn
  • the recording module is configured to store the recorded data generated by the learning recording module and store the image data captured by the image capturing module.
  • the storage unit is a hard disk, a solid state hard disk, an optical storage medium, a flash memory, a USB, an eMMC storage unit, or a combination thereof.
  • the communication network is 3G, LTE, WiMAX, Internet network, Wi-Fi network, Bluetooth, Near Field Communication (NFC), ZigBee, Z-Wave, Infrared (IR) or Radio Frequency (RF).
  • NFC Near Field Communication
  • IR Infrared
  • RF Radio Frequency
  • the remote host is a smartphone, tablet, tablet, laptop, desktop or laptop.
  • the intelligent electronic device includes a light, an air conditioner, a television, a camera, a temperature controller, a door or a door lock.
  • the operations include temperature adjustment, TV channel switching, on/off lighting, adjusting the temperature controller, adjusting the air conditioner, using the refrigerator, opening or locking the door lock.
  • the user manually operates the intelligent electronic device.
  • the record data generated by the learning record module records the user manually operating the smart electronic device.
  • the user performs an operation on the intelligent electronic device through the remote device.
  • the user performs an operation on the intelligent electronic device through another intelligent electronic device.
  • the intelligent control device further includes a processor or a processing chip, and the processor or the processing chip includes a learning recording module and a control module.
  • the learning record module also learns the operation of the intelligent control device for the intelligent electronic device.
  • the intelligent control device further includes a plurality of sensors electrically connected to the control module, and the control module controls the sensor according to the learning result.
  • the senor includes an image sensor, a motion sensor, a light sensor, and an environment. Sensor, sound sensor, gas sensor or peripheral sensor.
  • control module transmits information to the user to alert the user to inspect, repair, maintain, or clean the smart electronic device.
  • the work and rest modes include when the user gets out of bed, when they go out, when they go home, when they sleep, when they choose a TV channel, when they have dinner, when they shower, when they are washing, when they are dressed Time, time of reading, time to clean up, time to chat, time to use artifacts, or time to read.
  • the learning record module when the learning record module records the time the user walked out of the room in the morning, the time is recorded as the user's wake up time.
  • the intelligent control system further includes a third-party device that connects to the management server to provide a service, and the management server pushes the service to the user by the third-party device according to the learning result.
  • the service content includes selling products, selling tickets, checking or repairing intelligent electronic devices, broadcasting advertisements, home care, logistics, and the like.
  • the management server is pushed by a third party device to the user's smartphone, tablet, tablet, laptop, desktop or laptop.
  • the intelligent control device includes a plurality of sensors to capture an event information.
  • the intelligent control device uploads and stores event data to the management server.
  • the management server transmits a video stream stored on the management server to the user to receive the demand for viewing as feedback.
  • the management server transmits a video stream stored on the management server to the user's smartphone, tablet, tablet, laptop, desktop or laptop.
  • the management server includes a collection module and an energy saving analysis module.
  • the collection module collects operations of other intelligent electronic devices by a plurality of other users within a predetermined range and generates a collected data.
  • the energy-saving analysis module electrically connects the collection module and analyzes the number of collections generated by the collection module. According to to generate an energy-saving information.
  • the energy saving information is transmitted to the intelligent control device, so the intelligent control device can control the intelligent electronic device through the energy saving information.
  • the learning record module records the user's operation on the intelligent electronic device with a record data, and the recorded data is uploaded by the intelligent control device to the management server.
  • the main device is a smartphone, tablet, tablet, laptop, desktop or laptop.
  • the identity recognition module of the intelligent control device can identify the identity of at least one user, and the learning record module records and learns the operation of the user on at least one intelligent electronic device. Generating a learning result; or recording a user's time in a predetermined area to learn a work and rest mode of the user and generating another learning result, and the control module generates and transmits a learning result according to the learning record module. Control signals to intelligent electronic devices. Accordingly, the intelligent control device can provide exclusive use according to the identity of the user, the behavior of the user on the operation of the intelligent electronic device, the time of the work and the rest mode that the user appears in the predetermined area, and the surrounding environment.
  • the humanized service of the operation behavior and the habit, and the intelligent electronic device has a corresponding actuation function according to the environment and conditions in which it is normally located.
  • the present invention solves the problem that the existing intelligent control device and the intelligent electronic device (the Internet of Things device) cannot make the smart electronic device (the Internet of Things device) have different actions according to the time of the user's work and rest, and cannot simultaneously increase.
  • FIG. 1 is a functional block diagram of an intelligent control device in accordance with a preferred embodiment of the present invention.
  • 2A is a block diagram showing the detailed function of the identity recognition module according to a preferred embodiment of the present invention.
  • 2B is a functional block diagram of an identification module according to a preferred embodiment of the present invention.
  • FIG. 3A is a functional block of an intelligent control device having an identification module according to a preferred embodiment of the present invention.
  • FIG. 3B is another functional block diagram of the identification module according to the preferred embodiment of the present invention.
  • 4A is a functional block diagram of an intelligent control device according to another preferred embodiment of the present invention.
  • 4B is a schematic diagram of a work and rest mode according to another preferred embodiment of the present invention.
  • FIG. 5A is a schematic diagram of an intelligent control system according to another preferred embodiment of the present invention.
  • FIG. 5B is a schematic diagram of an intelligent control system according to another preferred embodiment of the present invention.
  • 6A is a schematic diagram of an intelligent control system according to another preferred embodiment of the present invention.
  • FIG. 6B is a schematic diagram of an intelligent control system according to another preferred embodiment of the present invention.
  • FIG. 7A is a functional block diagram of a storage medium according to another preferred embodiment of the present invention.
  • FIG. 7B is a functional block diagram of a storage medium according to still another preferred embodiment of the present invention.
  • FIG. 8 is a schematic diagram of an execution flow of an application software according to another embodiment of the present invention.
  • FIG. 8B is a schematic diagram of an execution flow of an application software according to still another preferred embodiment of the present invention.
  • the intelligent control device 2a is communicatively coupled to at least one intelligent electronic device 1.
  • an intelligent electronic device is communicably connected to the intelligent control device 2a.
  • the intelligent control device 2a includes an identity recognition module 21, a learning record module 22a, and a control module 23.
  • the intelligent electronic device 1 can be, for example but not limited to, a light, an air conditioner, a television, a camera, a temperature controller, a door or a door lock, or the like, or other appliances commonly used in the home life; and the intelligent control device 2a can be, for example, a control having a photographic lens.
  • the mainframe can be used in conjunction with smartphones, tablets, tablets, laptops, desktops or laptops.
  • the smart electronic device 1 and the intelligent control device 2a can pass through, for example, 3G, 4G LTE, WiMAX, Internet network, Wi-Fi
  • Various communication technologies such as network, Bluetooth, Near Field Communication (NFC), ZigBee, Z-Wave, Infrared (IR), and Radio Frequency (RF) are connected to each other, and the present invention is not limited thereto.
  • the identity recognition module 21 can identify the identity I of at least one user U, and the identity recognition module 21 can be a face recognition module, an iris recognition module, a fingerprint recognition module, a voice recognition module, or a gesture recognition module.
  • the identification module 21 can also be a combination of identification modules having different biometric identification functions, and the present invention is not limited. Therefore, the identification module 21 can achieve the function of accurately identifying the user identity I through the biometrics of the user.
  • the learning record module 22a is electrically connected to the identification module 21, and the learning and recording module 22a records and learns the operation of the user U on the at least one intelligent electronic device 1 and generates a learning result R1.
  • the operation of the user U can be, for example, temperature adjustment, and television conversion. Channels, on/off lights, adjusting the temperature controller, adjusting the air conditioner, using the refrigerator, opening the door lock, or locking the door lock, etc., the user often manually operates the smart electronic device 1 while learning the recording module 22a
  • the learning result R1 details the specific features of the user's manual operation of the intelligent electronic device.
  • the user U can directly perform operations on the smart electronic device 1 directly, and the user U can also perform operations on the smart electronic device 1 through the remote device F (as shown in FIG. 5A). Or the user U performs an operation on the smart electronic device 1 by using another smart electronic device; therefore, the learning recording module 22a can learn the intelligent control in addition to the operation of the user U on the at least one smart electronic device 1.
  • the operation of the smart electronic device 1 by the device 2a or the operation of the smart electronic device 1 by another intelligent electronic device, so the learning recording module 22a can have a very sufficient learning source, and can cover various different types of operations to generate more For detailed learning results R1.
  • the control module 23 is coupled to the learning record module 22a.
  • the control module 23 can include at least one processing unit and a storage unit (not shown), or include other control hardware, software, or firmware.
  • the storage unit stores one or more program instructions, and When these program instructions are accessed and executed by the processing unit, the control module 23 can generate the processing unit 22a according to the built-in processing unit and the storage unit.
  • the raw learning result R1 generates and transmits a control signal S1 to the intelligent electronic device 1.
  • the control module 23 can also transmit information to the user U to remind the user U to inspect, repair, maintain or clean the smart electronic device 1.
  • the intelligent control device 2a may further include a plurality of sensors (not shown), and the sensor may include an image sensor, a motion sensor, a light sensor, an environment sensor, and a sound. a sensor, a gas sensor or a peripheral sensor, or a combination of different types of sensors, the sensor is electrically connected to the control module 23, and the control module 23 can control the sensor according to the learning result R1 such that the intelligent control device 2a
  • the sensor has advanced intelligent sensing capabilities.
  • FIG. 2A is a detailed functional block diagram of the identity recognition module 21 according to the preferred embodiment of the present invention.
  • the identity recognition module 21 may further include an image capturing module 211, and the image capturing module 211 may be built in.
  • the camera or photographic lens of the intelligent control device 2a can be a photographic lens of a smart phone, a tablet computer or a notebook computer, and the image capturing module 211 can be used to capture multiple image data D1, when used in combination with, for example, a smart phone, a tablet computer, or a laptop computer.
  • the image data D1 of the image capturing module 211 can be directly transmitted to the user U by the intelligent control device 2a.
  • the intelligent control device 2a further includes an identification module 24, and the image data D1 can be supplied to the identification module 24 for identification.
  • FIG. 3A is another functional block diagram of an intelligent control device 2b having an identification module.
  • the identification module 24 is coupled to the image capturing module 211.
  • the identification module 24 can be It is an image recognition module, which can identify the surrounding environment features of the user U and the behaviors and other features of the user U through an algorithm.
  • the identification module 24 obtains the behavior data D2 of the user U and the appearance data D3 of the at least one static object O according to at least two pieces of image data D1 captured by the image capturing module 211 (shown in the figure).
  • the static object O can be, for example, a sofa, a table, a chair, a coffee machine, a television, a speaker, a lamp or other common household appliances or appliances. .
  • the intelligent control device 2b of the embodiment may further include a storage unit, and Processor or processing chip (not shown).
  • the storage unit is, for example, a hard disk, a solid state hard disk, an optical storage medium, a flash memory, a USB, or an eMMC storage unit.
  • the storage unit is electrically connected to the learning record module 22a to store the learning result R1 generated by the learning record module 22a, and store the image.
  • the image data D1 captured by the module 211, the processor or the processing chip includes a learning recording module and a control module, and the learning recording module 22a and the control module 23 can be integrated by the processor or the processing chip to enable the intelligent control device 2b to reach the component. The effect of integration and thinning.
  • the intelligent control device 2b may further include a communication module (refer to FIG. 5A, reference numeral 25).
  • the communication module is communicably connected to the communication network, and can transmit the image data D1 captured by the image capturing module 211 to a remote device F.
  • FIG. 5A is an example in which the remote device F and the remote host H are the same device, and the remote host H can be a smart phone. , tablet, tablet, laptop, desktop or laptop.
  • the communication module 25 also has a function of communicating at least two pieces of image data D1 captured by the image capturing module 211 to other management servers.
  • FIG. 2B is a functional block diagram of the identification module 24 according to the preferred embodiment of the present invention.
  • the identification module 24 includes a motion recognition unit 241 and an environment recognition unit 242.
  • the motion recognition unit 241 The behavior data D2 is obtained according to the action of the user U.
  • the environment identification unit 242 identifies at least one static object O according to the appearance data D3, and obtains the environmental data D4 according to the identified at least one static object O.
  • the intelligent control system 3a recognizes a young lady who turns on the television with the right hand on the sofa in the living room at ten o'clock in the evening
  • the behavior data D2 represents the behavior of the young woman turning the television with the right hand to operate the remote controller.
  • the behavior data D2 may also include the user's identity data (young lady) and/or time information (10 o'clock in the evening), and the environmental data D4 is obtained from the static objects O (sofa, television, etc.) in several living rooms.
  • the data D3 identifies the environment in which the user is located in the living room.
  • control module 23 is coupled to the identification module 24.
  • the control module 23 can include at least one processing unit and a storage unit (not shown), or include other control hardware, software, or firmware.
  • the storage unit stores one. Or multiple program instructions, and when these program instructions are processed
  • the control module 23 can obtain the event data D5 according to the behavior data D2 and the environment data D4 through the built-in processing unit and the storage unit, and generate and transmit a control signal according to the event data D5. S1 to the intelligent electronic device 1.
  • the intelligent electronic device 1 may obtain an event because the control module 23 is based on the behavior data D2 (the behavior of the young lady turning on the television) and the environmental data D4 (located in the living room and the time is ten o'clock in the evening).
  • Data D5 turn on the TV at 10 o'clock in the evening
  • the intelligent control device 2b generates and transmits a control signal S1 (automatically turning on the TV at 10 o'clock in the evening) to the intelligent electronic device 1 (television) machine).
  • FIG. 3B is another functional block diagram of the identification module 24a according to the preferred embodiment of the present invention.
  • the environment identification unit 242 receives a feedback signal S2 from the at least one intelligent electronic device 1 and is based on the feedback signal. S2 updates at least one static object O identified. For example, the environment identification unit 242 of the original identification module 24a determines that the appearance data D3 of the static object O located at the position of the television is a picture rather than a television. At this time, the feedback signal S2 is transmitted through the intelligent electronic device 1 (for example, a television).
  • the intelligent electronic device 1 for example, a television.
  • the environment identification unit 242 can make the appearance data D3 of the static object O′ that the original environment identification unit 242 determines to be incorrect, and can be updated to the correct static object O, where the painting signal originally transmitted from the original is determined according to the feedback signal transmitted by the television. S2, and the image updated to recognize the static object O is a television set.
  • the feedback signal S2 includes at least one identification data D6 of the smart electronic device 1.
  • the environment identification unit 242 updates the identified at least one static object O according to the identification data D6, and the identification data D6 can be, for example, the name, brand, and model of the appliance. , size, color matching, etc., help the environment identification unit 242 can correctly identify the reference of the static object O.
  • the identification data D6 displays a SONY 55 ⁇ silver LCD TV
  • the identification data D6 is included by the feedback signal S2.
  • the information is transmitted back to the environment identification unit 242. Therefore, if the static object O' originally identified by the environment recognition unit 242 according to the appearance data D3 is not a liquid crystal television, the identified static object O will be updated as a liquid crystal television.
  • the environment identification unit 242 can also obtain the minimum according to the strength of the feedback signal S2. a relative distance data D7 of the smart electronic device 1, and updating the identified at least one static object O according to the relative distance data D7.
  • the user U has a liquid crystal TV placed in the living room and a kitchen placed in the kitchen.
  • the coffee machine at this time, if the LCD TV placed in the living room is located closer to the location set by the intelligent control device 2a (assuming that it is set in the living room), the LCD TV's feedback signal S2 will be compared to the coffee machine placed in the kitchen.
  • the feedback signal S2 is stronger, so the environment identification unit 242 can obtain the relative distance data D7 according to the strength of the feedback signal S2, and can correctly recognize that the static object O is a liquid crystal television instead of a coffee machine.
  • the motion recognition unit 241 can also receive the feedback signal S2 from the at least one intelligent electronic device 1, and update the behavior data D2 according to the feedback signal S2, and the behavior of the former woman to turn on the television. If the identification module 24a passes the image data D1, The behavior of the woman in the image frame cannot be correctly interpreted. When the TV is turned on, that is, the action recognition unit 241 generates the behavior data D2' which is incorrect or even erroneous, the feedback signal is transmitted through the smart electronic device 1 (for example, a television).
  • the smart electronic device 1 for example, a television
  • the identity recognition module 21 of the embodiment can achieve the function of accurately identifying at least one user identity I by using the characteristics of the user; the second is that the learning record module 22a learns the user U to at least In addition to the operation of the intelligent electronic device 1, the learning recording module 22a can also learn the operation of the intelligent electronic device 1 by the intelligent control device 2a or the operation of the intelligent electronic device 1 by another intelligent electronic device, so the learning recording module 22a has a very Sufficient learning sources, and can cover a variety of different types of operations to produce detailed learning results R1; third, when the motion recognition unit 241 and the environment identification unit 242 cannot generate correct interpretation data, that is, when the behavior data D2 and When the environmental data D4 is incorrect, the feedback signal S2 from the intelligent electronic device 1 can be received, and the recognized behavior data D2 and the static object O can be updated according to the feedback signal S2, so that the recognition rate and accuracy of the identification module 24a can be improved.
  • FIG. 4A is a smart control device according to another preferred embodiment of the present invention.
  • the intelligent control device 2b also communicatively connects at least one smart electronic device 1.
  • the intelligent control device 2b is different from the intelligent control device 2a of the above-described preferred embodiment except that the identification module 21, the learning recording module 22b, and the control module 23 are similarly included, and the learning recording module 22b of the intelligent control device 2b does not record.
  • learning the operation of the user U on the at least one intelligent electronic device 1 and generating the learning result R1 but separately recording the time when the user U appears in the predetermined area A to learn a working and resting mode M of the user U and generating a Learning result R2.
  • FIG. 4B is a schematic diagram of a work and rest mode according to another preferred embodiment of the present invention.
  • the predetermined area A may be a specific place, such as a living room, a kitchen, a door, a bedroom, and a living room of the user U.
  • the study and the like, and the work and rest mode M may include the time when the user U gets out of bed, the time of going out, the time of going home, the time of sleeping, the selected television channel, the time of dinner, the time of shower, the time of washing, wearing The time of the clothes, the time of reading, the time of cleaning, the time of chatting, the time of using the artifacts, or the time of reading, etc.; for example, when the learning record module 22b records the time when the user U walks out of the room in the morning, the time will be The learning record module 22b records the wake-up time of the user U. Alternatively, when the learning record module 22b records the time when the user U enters the bedroom at night, the time will be recorded by the learning record module 22b as the sleep time of the user U.
  • the intelligent control device 2b can learn to record the time when the user U appears in the predetermined area A through the learning recording module 22b to learn the work and rest mode M of the user U, and generate the learning result R2 to the control module 23 to generate control.
  • the signal S1 is sent to the intelligent electronic device 1, and the intelligent control device 2b can control the smart electronic device 1 more humanized and intelligently by the work and rest mode M generated by the time when the user U appears in the predetermined area A.
  • 5A is a schematic diagram of an intelligent control system 3 including at least one intelligent electronic device 1, an intelligent control device 2a, and a management server 4 according to another embodiment of the present invention.
  • the intelligent control device 2a is communicatively connected to at least one smart electronic device 1.
  • This embodiment is an example in which two intelligent electronic devices 1 are connected to the intelligent control device 2a, but The number of intelligent control devices 2a communicatively connected to the smart electronic device 1 is not limited thereto.
  • the intelligent control device 2a includes an identity recognition module 21, a learning record module 22a and a control module 23, and further includes a communication module 25, and the communication module 25 has the information communication generated by the identity recognition module 21 and the learning record module 22a to the management server 4.
  • the learning record module 22a also electrically connects the identification module 21 and records and learns the operation of the user U on the at least one intelligent electronic device 1 and generates a learning result R1.
  • the control module 23 is coupled to the learning record module 22a, and generates a control signal S1 according to the learning result R1 to control the smart electronic device 1.
  • the intelligent control device 2a communicates with the connection management server 4 via the communication module 25, and the at least one user identity I identification data identified by the identity recognition module 21 and the learning result R1 generated by the learning record module 22a can be uploaded to the communication module 25 through the communication module 25.
  • the server 4 is managed for management on the server 4 as a resource for other analysis or utilization. For example, it is possible to give operational advice or instructions to the intelligent electronic device 1 to different users.
  • the intelligent control system can be Also included is a third party device (not shown), the third party device is connected to the management server 4 to provide a service, and the management server 4 pushes the service to the user by the third party device according to the learning result R1, and the service content may include the sales product. , selling tickets, checking or repairing intelligent electronic devices or broadcast advertising, home care, logistics and other practical functions, and the management server 4 can be pushed by a third party device to the user U's smartphone, tablet, tablet device, notebook Computer, desktop or laptop.
  • the intelligent control device 2a may further include a plurality of sensors to capture an event information, and the event information is uploaded and stored to the management server 4 through the intelligent control device.
  • the management server 4 may also transmit a storage to the management server 4. The video stream is sent to the user U to receive the feedback as the user U feedbacks.
  • the management server 4 can transmit the video stream to the user's smartphone, tablet, tablet device, notebook computer, desktop Computer or laptop.
  • the intelligent control device 2a may include not only a sensor but also a collection module. And an energy saving analysis module (not shown).
  • the collection module collects operations of other intelligent electronic devices by a plurality of other users within a predetermined range and generates a collected data.
  • the energy saving analysis module electrically connects the collecting module and analyzes the collected data generated by the collecting module to generate an energy saving information.
  • the energy saving information is transmitted to the intelligent control device 2a, so the smart control device 2a can control the smart electronic device 1 by the energy saving information.
  • FIG. 5B is a schematic diagram of an intelligent control system 3a according to another preferred embodiment of the present invention.
  • the intelligent control system 3a also includes at least one intelligent electronic device 1, an intelligent control device 2a', and a management server. 4a.
  • the difference between the intelligent control device 2a' and the intelligent control device 2a, and the management server 4a and the management server 4 is that the intelligent control device 2a' can learn the recording module except that the identity recognition module 21 is not provided inside the intelligent control device 2a'. 22a may not be provided inside the intelligent control device 2a', and may be moved to the management server 4a setting.
  • the intelligent control device 2a' can be connected to the smart electronic device 1 to acquire the operation of the user U when using the smart electronic device 1 and the identity information of the user.
  • the management server 4a includes a learning recording module 22a in addition to the identity recognition module 21.
  • the management server 4a can simultaneously set the identity recognition module 21 and the learning record module 22a.
  • the identity recognition module 21 receives the identity information of the user U to identify the identity I of at least one user, and the learning record module 22a receives the use.
  • FIG. 6A is a schematic diagram of an intelligent control system 3b according to another preferred embodiment of the present invention.
  • the intelligent control system 3b also includes at least one intelligent electronic device 1, an intelligent control device 2b, and a management server 4b.
  • the intelligent control device 2b communicates with at least one smart electric
  • the sub-device 1 is an example in which the two intelligent electronic devices 1 are connected to the intelligent control device 2b.
  • the number of the intelligent control device 2b that is connected to the smart electronic device 1 is not limited thereto.
  • the intelligent control device 2b includes an identity recognition module 21, a learning record module 22b and a control module 23, and a communication module 25 having the information generated by the identity recognition module 21 and the learning record module 22b, and communicating to the management server.
  • the function of 4b is different from the aforementioned intelligent control system 3 in that the learning record module 22b is electrically connected to the identity recognition module 21, and records the time when the user U appears in the predetermined area A to learn the work and rest mode of the user U. M, and produce a learning result R2.
  • the control module 23 is coupled to the learning record module 22b, and generates a control signal S1 according to the learning result R2 to control the smart electronic device 1.
  • the intelligent control device 2b communicates with the connection management server 4b via the communication module 25, and can identify the identification data after the at least one user identity I, the learning result R2 generated by the learning recording module 22b, through the communication module 25 It is uploaded to the management server 4b for use on the management server 4b as a resource for other analysis utilization.
  • the smart electronic device 1 of other users can be opened or closed at a specific time according to the common work and rest mode of the user.
  • FIG. 6B is a schematic diagram of an intelligent control system 3c according to another preferred embodiment of the present invention.
  • the intelligent control system 3c also includes at least one intelligent electronic device 1, an intelligent control device 2b', and a management server. 4c.
  • the intelligent control device 2b' records the time when the user U appears in the predetermined area A to generate recording data and acquires the identity information of the user, and the intelligent control device 2b' is different from the intelligent control device 2b and the management server 4c and the management server 4b.
  • the intelligent control device 2b' may not be disposed inside the intelligent control device 2b' except that the identification module 21b may not be disposed inside the intelligent control device 2b', and may be moved to the management server. Set on 4c.
  • the management server 4c includes learning in addition to the identity recognition module 21
  • the module 22b is recorded.
  • the management server 4c can simultaneously set the identity recognition module 21 and the learning record module 22b.
  • the identity recognition module 21 receives the identity information of the user to identify the identity I of at least one user
  • the learning record module 22b receives the record data. And learning the work break time of the user U and generating the learning result R2 is transmitted to the intelligent control device 2b'.
  • the management server 4c has both the identity I of the user U and the time when the user U is recorded in the predetermined area A to learn the work and rest mode M of the user U, and generate the learning result R2, and return the result.
  • the control module 23 to the intelligent control device 2b' controls the different intelligent electronic devices 1 by transmitting a control signal S1.
  • FIG. 7A is a functional block diagram of a storage medium SM1 according to another preferred embodiment of the present invention.
  • the storage medium SM1 stores an application software APP1.
  • the present invention is applicable to and installed on a main device (not shown) that is in communication with at least one intelligent electronic device 1.
  • FIG. 8A and FIG. 1 to illustrate the execution method of the application software APP1 according to the preferred embodiment of the present invention.
  • . 8A is a schematic diagram of an execution flow of an application software according to a preferred embodiment of the present invention.
  • the application software performs at least the following steps: identifying the identity of the at least one user (step S01), recording and learning the operation of the user on the intelligent electronic device and generating the learning result (step S02), causing the main device to generate and transmit a control according to the learning result.
  • the signal is used to control the intelligent electronic device (step S03).
  • FIG. 7B is a functional block diagram of a storage medium SM2 according to another preferred embodiment of the present invention.
  • the storage medium SM2 also stores an application.
  • the software APP2 is applicable to and installed in a main device (not shown) connected to at least one intelligent electronic device 1.
  • FIG. 8B and FIG. 1 to illustrate the application software of another preferred embodiment of the present invention.
  • the execution method of APP2. 8B is a flow chart of an application software execution process according to still another preferred embodiment of the present invention.
  • the application software performs at least the following steps: identifying the identity of at least one user (step S01), recording the user in a predetermined decision The time when the area appears is to learn the work and rest mode of the user and generate the learning result (step S02), and cause the main device to generate and transmit a control signal according to the learning result to control the intelligent electronic device (step S03).
  • the identity recognition module of the intelligent control device can identify the identity of at least one user, and the learning record module records and learns the operation of the user on at least one intelligent electronic device. Generating a learning result; or recording a user's time in a predetermined area to learn a work and rest mode of the user and generating another learning result, and the control module generates and transmits a learning result according to the learning record module. Control signals to intelligent electronic devices. Accordingly, the intelligent control device can provide exclusive use according to the identity of the user, the behavior of the user on the operation of the intelligent electronic device, the time of the work and the rest mode that the user appears in the predetermined area, and the surrounding environment.
  • the humanized service of the operation behavior and the habit, and the intelligent electronic device has a corresponding actuation function according to the environment and conditions in which it is normally located.
  • the present invention solves the problem that the existing intelligent control device and the intelligent electronic device (the Internet of Things device) cannot make the smart electronic device (the Internet of Things device) have different actions according to the time of the user's work and rest, and cannot simultaneously increase.

Abstract

一种智能控制装置(2a,2b,2a',2b'),通信连接至少一智能电子装置(1)。智能控制装置(2a,2b,2a',2b')包括身份识别模块(21)、学习记录模块(22a,22b)以及控制模块(23)。身份识别模块(21)识别至少一位使用者(U)的身份(I)。学习记录模块(22a,22b)电连接身份识别模块(21),记录及学习使用者(U)对至少一智能电子装置(1)的操作并产生学习结果(R1,R2)。控制模块(23)耦接学习记录模块(22a,22b),依据学习结果(R1,R2)产生并传送控制信号(S1)以控制智能电子装置(1)。智能控制装置(2a,2b,2a',2b')根据使用者(U)工作与休息的模式而使智能电子装置(1)有相对应不同的作动,同时提高使用者(U)操作智能电子装置(1)时的身份识别安全性。

Description

智能控制装置与系统 技术领域
本发明关于一种智能控制装置,特别关于一种具有身份识别功能及可根据使用者工作与休息模式而有不同控制的智能控制装置。
背景技术
物联网与云端运算已逐渐被广泛应用于家庭智能设施、移动终端设备及工业系统环境等。在网络化的时代,人跟人之间可以通过网络相互联系,人也可通过网络取得物件的信息,而物联网还创造一个物件与物件之间可以互通的网络环境。同时,物联网时代代表着未来信息技术在运算与沟通上的演进趋势。
然而,在现今的物联网装置中,往往无法兼具辨识周遭环境条件、使用者操作行为及身份识别的功能,更无法根据使用者的工作与休息模式不同,而能调整控制的多功能智能物联网装置。因此,产生物联网装置不能更符合使用者期待功能的问题,换句话说,物联网装置无法提供专属使用者操作行为与习惯的人性化服务,亦或是,使用者无法根据其自身工作与休息的时间而使物联网装置有相对应不同的作动,也无法提高物联网装置对使用者身份识别的安全性。
因此,如何提出一种专属使用者操作行为与习惯的物联网装置,且可根据使用者工作与休息的模式而使物联网装置有相对应不同的作动,同时增加使用者操作物联网装置时的身份识别安全性,是当前重要的课题之一。
发明内容
有鉴于上述课题,本发明的目的为提供一种智能控制装置,具有高辨识率并能够同时兼具辨识使用者周边环境及使用者操作行为,而有对应调整的 智能控制装置、智能控制系统及智能控制方法。
为达上述目的,本发明提出一种智能控制装置,其通信连接至少一智能电子装置。智能控制装置包括一身份识别模块、一学习记录模块以及一控制模块。身份识别模块识别至少一使用者的身份。学习记录模块电连接身份识别模块,记录及学习使用者对至少一智能电子装置的操作并产生一学习结果。控制模块耦接学习记录模块,依据学习结果产生并传送一控制信号以控制智能电子装置。
为达上述目的,本发明提出一种智能控制装置,其通信连接至少一智能电子装置。智能控制装置包括一身份识别模块、一学习记录模块以及一控制模块。身份识别模块识别至少一使用者的身份。学习记录模块电连接身份识别模块,记录使用者在一预定区域出现的时间以学习使用者的工作与休息模式并产生一学习结果。控制模块耦接学习记录模块,依据学习结果产生并传送一控制信号以控制智能电子装置。
为达上述目的,本发明提出一种智能控制系统,其通信连接至少一智能电子装置。智能控制系统包括一管理服务器以及一智能控制装置。智能控制装置包括一身份识别模块、一学习记录模块及一控制模块。身份识别模块识别至少一使用者的身份。学习记录模块电连接身份识别模块,记录及学习使用者对至少一智能电子装置的操作并产生一学习结果。控制模块耦接学习记录模块,依据学习结果产生并传送一控制信号以控制智能电子装置。
为达上述目的,本发明提出一种智能控制系统,其通信连接至少一智能电子装置,智能控制系统包括一管理服务器以及一智能控制装置。智能控制装置可连接智能电子装置以获取使用者使用智能电子装置时的操作及使用者的身份信息。管理服务器连接智能控制装置并包括一身份识别模块与一学习模块,身份识别模块接收使用者的身份信息以识别至少一使用者的身份,学习记录模块接收使用者使用智能电子装置时的操作,且记录并学习关于使用者的操作,以产生一学习结果将其传送至智能控制装置,因此,智能控制装 置可根据学习结果产生并传送一控制信号以而控制智能电子装置。
为达上述目的,本发明提出一种智能控制系统,其通信连接至少一智能电子装置,智能控制系统包括一管理服务器以及一智能控制装置。智能控制装置包括一身份识别模块、一学习记录模块及一控制模块。身份识别模块识别至少一使用者的身份。学习记录模块电连接身份识别模块,记录使用者在一预定区域出现的时间以学习使用者的工作与休息模式并产生一学习结果。控制模块耦接学习记录模块,依据学习结果产生并传送一控制信号以控制智能电子装置。
为达上述目的,本发明提出一种智能控制系统,其通信连接至少一智能电子装置,智能控制系统包括一管理服务器以及一智能控制装置。智能控制装置记录使用者出现在预定区域的时间,以产生记录数据并获取使用者的身份信息。管理服务器与智能控制装置连接并包括一身份识别模块及一学习记录模块,身份识别模块接收使用者的身份信息以识别至少一使用者的身份,学习记录模块接收记录数据及学习使用者的工作休息时间并产生一学习结果传送到智能控制装置。智能控制装置根据学习结果产生并传送一控制信号以控制智能电子装置。
为达上述目的,本发明提出一种存储媒体,存储媒体存储一种应用软件适用及安装于一个至少与一智能电子装置通信连接的一主体装置,应用软件执行至少以下步骤:识别至少一使用者的身份;记录并学习使用者对智能电子装置的操作并产生一学习结果;以及使主体装置根据学习结果产生并传送一控制信号以控制智能电子装置。
为达上述目的,本发明提出一种存储媒体,存储媒体存储一种应用软件适用及安装于一个至少与一智能电子装置通信连接的一主体装置,应用软件执行至少以下步骤:识别至少一使用者的身份;记录使用者在一预定区域出现的时间以学习使用者的工作与休息模式并产生一学习结果;以及使主体装置根据学习结果产生并传送一控制信号以控制智能电子装置。
在一实施例中,身份识别模块为脸部识别模块、虹膜识别模块、指纹识别模块、声音识别模块或手势辨识模块。
在一实施例中,身份识别模块包括一影像撷取模块以撷取至少两笔影像数据,智能控制装置另包括一辨识模块,耦接影像撷取模块,依据至少两影像数据得到使用者的一行为数据及至少一静态物件的一外观数据,并依据至少一静态物件的外观数据得到一环境数据。
在一实施例中,控制模块依据行为数据与环境数据得到一事件数据,并依据事件数据产生并传送一控制信号至该至少一智能电子装置。
在一实施例中,辨识模块包括一动作辨识单元以及一环境辨识单元。动作辨识单元依据使用者的动作得到行为数据,环境辨识单元依据外观数据辨识至少一静态物件,并依据所辨识的至少一静态物件得到环境数据。
在一实施例中,环境辨识单元接收来自至少一智能电子装置的一回馈信号,并依据回馈信号更新所辨识的至少一静态物件。
在一实施例中,回馈信号包括该至少一智能电子装置的一识别数据,环境辨识单元依据识别数据更新所辨识的至少一静态物件。
在一实施例中,环境辨识单元依据回馈信号的强弱得到关于该至少一智能电子装置的一相对距离数据,并依据相对距离数据更新所辨识的至少一静态物件。
在一实施例中,动作辨识单元接收来自该至少一智能电子装置的一回馈信号,并依据回馈信号更新行为数据。
在一实施例中,智能控制装置还包括一通信模块,通信模块通信连接至通信网络,并传送影像撷取模块所撷取的影像数据到一远端装置,以回应一远端主控的即时观看需求。
在一实施例中,来自影像撷取模块的影像数据由智能控制装置直接传送给使用者。
在一实施例中,智能控制装置还包括一存储单元,存储单元电连接学习 记录模块,以存储学习记录模块所产生的记录数据,以及存储影像撷取模块所撷取的影像数据。
在一实施例中,存储单元为硬盘、固态硬盘、光存储媒体、快闪存储器、USB、eMMC存储单元或其组合。
在一实施例中,通信网络为3G、LTE、WiMAX、Internet network、Wi-Fi network、Bluetooth、Near Field Communication(NFC)、ZigBee、Z-Wave、Infrared(IR)或Radio Frequency(RF)。
在一实施例中,远端主控为智能手机、平板电脑、平板装置、笔记本电脑、桌上型电脑或便携式电脑。
在一实施例中,智能电子装置包括灯光、空调、电视、照相机、温度控制器、门或门锁。
在一实施例中,操作包括调温度、转电视频道、开/关灯光、调整温度控制器、调整空调、使用冰箱、门锁的打开或上锁。
在一实施例中,使用者手动操作智能电子装置。
在一实施例中,学习记录模块产生的记录数据记录使用者手动操作智能电子装置。
在一实施例中,使用者通过远端装置执行对智能电子装置的操作。
在一实施例中,使用者通过另一智能电子装置执行对智能电子装置的操作。
在一实施例中,智能控制装置还包括一处理器或一处理芯片,处理器或处理芯片包括学习记录模块及控制模块。
在一实施例中,学习记录模块还学习智能控制装置对智能电子装置的操作。
在一实施例中,智能控制装置还包括多个感测器,感测器电连接控制模块,控制模块根据学习结果控制感测器。
在一实施例中,感测器包括影像感测器、动作感测器、光感测器、环境 感测器、声音感测器、气体感测器或周边感测器。
在一实施例中,控制模块传送信息给使用者,以提醒使用者对智能电子装置进行检查、修理、维护或清理。
在一实施例中,工作与休息模式包括使用者起床的时间、外出的时间、回家的时间、睡觉的时间、选择的电视频道、晚餐的时间、淋浴的时间、洗衣的时间、穿衣服的时间、阅读的时间、清理的时间、聊天的时间、使用人造物品的时间或读书的时间。
在一实施例中,当学习记录模块记录使用者在早上走出房间的时间,则该时间被记录为使用者的起床时间。
在一实施例中,智能控制系统还包括一第三方装置,第三方装置连接管理服务器以提供服务,管理服务器根据学习结果由第三方装置推送服务给使用者。
在一实施例中,服务内容包含销售产品、销售票券、检查或修理智能电子装置、播送广告、居家照顾、物流配送等。
在一实施例中,管理服务器由第三方装置推送服务给使用者的智能手机、平板电脑、平板装置、笔记本电脑、桌上型电脑或便携式电脑。
在一实施例中,智能控制装置包括多个感测器以撷取一事件信息。
在一实施例中,智能控制装置上传及存储事件数据到管理服务器。
在一实施例中,管理服务器传送一存储于管理服务器的影像串流给使用者以接收作为反馈观看的需求。
在一实施例中,管理服务器传送一存储于管理服务器的影像串流给使用者的智能手机、平板电脑、平板装置、笔记本电脑、桌上型电脑或便携式电脑。
在一实施例中,管理服务器包括一收集模块以及一节能分析模块。收集模块收集多个其他使用者在预定的范围内对其他智能电子装置的操作并产生一收集数据。节能分析模块电连接收集模块,并分析收集模块产生的收集数 据以产生一节能信息。其中,节能信息被传送到智能控制装置因此智能控制装置可通过节能信息控制智能电子装置。
在一实施例中,学习记录模块以一记录数据记录使用者对智能电子装置的操作,记录数据由智能控制装置上传到管理服务器。
在一实施例中,主体装置为智能手机、平板电脑、平板装置、笔记本电脑、桌上型电脑或便携式电脑。
承上所述,于本发明所提供的智能控制装置中,智能控制装置的身份识别模块可识别至少一位使用者的身份,学习记录模块记录及学习使用者对至少一智能电子装置的操作并产生一学习结果;或者,记录使用者在一预定区域出现的时间以学习使用者的一工作与休息模式并产生另一学习结果,控制模块再依据学习记录模块产生的学习结果,产生并传送一控制信号至智能电子装置。据此,智能控制装置可以依照使用者的身份、使用者对智能电子装置操作的行为、使用者在预定区域出现的工作与休息模式时间不同、以及周边环境而有对应不同的控制,提供专属使用者操作行为与习惯的人性化服务,并能根据其自身平常所处的环境与条件,而使智能电子装置有相对应的作动功能。本发明解决了现有的智能控制装置及智能电子装置(物联网装置)无法根据使用者工作与休息的时间,而使智能电子装置(物联网装置)有相对应不同的作动,无法同时增加使用者操作智能电子装置(物联网装置)时的身份识别安全性,以及无法具有同时兼具辨识周遭环境的条件及使用者操作行为而改变控制的问题。
附图说明
图1为本发明较佳实施例的一种智能控制装置的功能方块图。
图2A为本发明较佳实施例的身份识别模块细部功能方块图。
图2B为本发明较佳实施例的辨识模块功能方块图。
图3A为本发明较佳实施例具有辨识模块的智能控制装置的功能方块 图。
图3B为本发明较佳实施例的辨识模块另一功能方块图。
图4A为本发明另一较佳实施例的一种智能控制装置的功能方块图。
图4B为本发明另一较佳实施例的一种工作与休息模式示意图。
图5A为本发明另一较佳实施例的一种智能控制系统的示意图。
图5B为本发明另一较佳实施例的一种智能控制系统的示意图。
图6A为本发明另一较佳实施例的一种智能控制系统的示意图。
图6B为本发明另一较佳实施例的一种智能控制系统的示意图。
图7A为本发明另一较佳实施例的一种存储媒体的功能方块图。
图7B为本发明再一较佳实施例的一种存储媒体的功能方块图。
图8A为本发明另一较佳实施例的一种应用软件执行流程步骤图。
图8B为本发明再一较佳实施例的一种应用软件执行流程步骤图。
具体实施方式
以下将参照相关图式,说明本发明较佳实施例的一种环境导向的智能控制装置、智能控制系统及存储媒体应用软件的执行方法,其中相同的元件将以相同的参照符号加以说明。
请参照图1所示,图1为本发明较佳实施例的智能控制装置2a,智能控制装置2a通信连接至少一智能电子装置1,本实施例虽以智能控制装置2a通信连接一智能电子装置1为例,但不以此为限。智能控制装置2a包括一身份识别模块21、一学习记录模块22a以及一控制模块23。
智能电子装置1可例如但不限于灯光、空调、电视、摄影机、温度控制器、门或门锁等,或其他居家生活中常使用的电器;而智能控制装置2a则可例如为具有摄影镜头的控制主机,并可结合智能手机、平板电脑、平板装置、笔记本电脑、桌上型电脑或便携式电脑等作应用。智能电子装置1与智能控制装置2a可通过如3G、4G LTE、WiMAX、Internet network、Wi-Fi  network、Bluetooth、Near Field Communication(NFC)、ZigBee、Z-Wave、Infrared(IR)、Radio Frequency(RF)等多种通信技术彼此通信连接,本发明不加以限制。
于本实施例中,身份识别模块21可识别至少一位使用者U的身份I,且身份识别模块21可以是脸部识别模块、虹膜识别模块、指纹识别模块、声音识别模块或手势辨识模块等,身份识别模块21也可以是具有不同生物特征识别功能的识别模块的搭配组合,本发明并不予以限制,因此身份识别模块21通过使用者的生物特征可以达到精确识别使用者身份I的功能。
学习记录模块22a电连接身份识别模块21,学习记录模块22a记录及学习使用者U对至少一智能电子装置1的操作并产生一学习结果R1,使用者U的操作可例如是调温度、转电视频道、开/关灯光、调整温度控制器、调整空调、使用冰箱、门锁打开或将门锁上锁等生活中使用者会经常手动操作智能电子装置1的行为,同时学习记录模块22a产生的学习结果R1详细地记录使用者手动操作智能电子装置的具体特征。
再者,本实施例中使用者U除了可以直接对于智能电子装置1手动操作以外,使用者U还可通过远端装置F远端执行对智能电子装置1的操作(如图5A所示),或使用者U使用另一智能电子装置执行对智能电子装置1的操作;因此,学习记录模块22a除了学习使用者U对至少一智能电子装置1的操作以外,学习记录模块22a还可以学习智能控制装置2a对智能电子装置1的操作,或是另一智能电子装置对智能电子装置1的操作,因此学习记录模块22a能够具有非常充足的学习来源,可涵盖到各种不同类型的操作以产生更为详尽的学习结果R1。
控制模块23耦接学习记录模块22a,控制模块23可包括至少一处理单元及一存储单元(图未显示),或包括其他控制硬件、软件或固件,存储单元存储一个或多个程序指令,且当这些程序指令被处理单元存取并执行时,控制模块23可通过内建的处理单元及存储单元,依据学习记录模块22a产 生的学习结果R1,产生并传送一控制信号S1至智能电子装置1。而且,控制模块23还可传送信息给使用者U,以提醒使用者U对智能电子装置1进行检查、修理、维护或清理。
在本实施例中,智能控制装置2a还可包括多个感测器(图未显示),感测器可包括影像感测器、动作感测器、光感测器、环境感测器、声音感测器、气体感测器或周边感测器,或不同类型感测器的组合,感测器电连接控制模块23,控制模块23能根据学习结果R1控制感测器,使得智能控制装置2a的感测器具有进阶智能化的感测功能。
请参照图2A所示,图2A为本发明较佳实施例的身份识别模块21的细部功能方块图,身份识别模块21还可包括有影像撷取模块211,影像撷取模块211可以是内建于智能控制装置2a的摄影机或摄影镜头。当与例如智能手机、平板电脑或笔记本电脑结合应用时,影像撷取模块211可以是智能手机、平板电脑或笔记本电脑的摄影镜头,影像撷取模块211并用以撷取多笔的影像数据D1,而且影像撷取模块211的影像数据D1能够由智能控制装置2a直接传送给使用者U。而且,如图2B所示,智能控制装置2a另包括一辨识模块24,影像数据D1可供给辨识模块24作辨识使用。
请参照图3A所示,图3A为本发明较佳实施例具有辨识模块的智能控制装置2b的另一功能方块图,辨识模块24耦接影像撷取模块211,具体而言,辨识模块24可为影像辨识模块,其可通过演算法辨识使用者U所处的周边环境特征及使用者U的行为动作与其他特征。于本实施例中,辨识模块24依据影像撷取模块211所撷取的至少两笔影像数据D1,而得到使用者U的行为数据D2及至少一静态物件O的一外观数据D3(显示于图2B),并依据该至少一静态物件O的外观数据D3得到一环境数据D4,静态物件O可例如为沙发、桌子、椅子、咖啡机、电视机、喇叭、灯具或其他常见的家用电器或器具。
在本实施例中,本实施例的智能控制装置2b还可包括一存储单元、及 处理器或处理芯片(图未显示)。存储单元例如为硬盘、固态硬盘、光存储媒体、快闪存储器、USB或者是eMMC存储单元等,存储单元电连接学习记录模块22a,以存储学习记录模块22a所产生的学习结果R1,以及存储影像撷取模块211所撷取的影像数据D1,处理器或处理芯片包括学习记录模块及控制模块,通过处理器或处理芯片整合学习记录模块22a及控制模块23可使智能控制装置2b还能达到元件整合、轻薄化的效果。
智能控制装置2b还可包括一通信模块(如图5A所示标号25),通信模块通信连接至通信网络,并能够传送影像撷取模块211所撷取的影像数据D1到一远端装置F,以回应一远端主控H的即时观看需求(如图5A所示),图5A是以远端装置F与远端主控H为相同装置为例,而远端主控H可为智能手机、平板电脑、平板装置、笔记本电脑、桌上型电脑或便携式电脑。通信模块25还具有将影像撷取模块211所撷取的至少两笔影像数据D1通信传送到其他管理服务器的功能。
请再参照图2B所示,图2B为本发明较佳实施例的辨识模块24的功能方块图,具体而言,辨识模块24包括一动作辨识单元241以及一环境辨识单元242,动作辨识单元241依据使用者U的动作而得到行为数据D2,环境辨识单元242则依据外观数据D3辨识至少一静态物件O,并依据所辨识的至少一静态物件O得到环境数据D4。举例来说,当智能控制系统3a辨识一位晚间十点钟在客厅中的沙发上以右手操控遥控器打开电视机的年轻女士,行为数据D2代表年轻女士以右手操控遥控器打开电视机的行为,尤其,行为数据D2还可包括使用者的身份数据(年轻女士)及/或时间信息(晚间十点),环境数据D4则由若干客厅中的静态物件O(沙发、电视机等)得到外观数据D3,而辨识出使用者所处的环境位于客厅之中。
请继续参照图3A所示,控制模块23耦接辨识模块24,控制模块23可包括至少一处理单元及一存储单元(图未显示),或包括其他控制硬件、软件或固件,存储单元存储一个或多个程序指令,且当这些程序指令被处理单 元存取并执行时,控制模块23可通过内建的处理单元及存储单元,依据行为数据D2与环境数据D4得到事件数据D5,并依据事件数据D5,智能控制装置2b产生并传送一控制信号S1至智能电子装置1。
在上述的实施例中,智能电子装置1(电视机)可因为控制模块23依据行为数据D2(年轻女士打开电视机的行为)与环境数据D4(位于客厅中且时间是晚间十点)得到事件数据D5(晚间十点打开电视机),依据事件数据D5(晚间十点打开电视机),智能控制装置2b产生并传送控制信号S1(晚间十点自动打开电视机)至智能电子装置1(电视机)。
请参照图3B所示,图3B为本发明较佳实施例的辨识模块24a的另一功能方块图,环境辨识单元242接收来自该至少一智能电子装置1的一回馈信号S2,并依据回馈信号S2更新所辨识的至少一静态物件O。例如,原先辨识模块24a的环境辨识单元242判断位于该电视机位置的静态物件O的外观数据D3为画作而非电视机,此时,通过智能电子装置1(例如电视机)传送回馈信号S2至环境辨识单元242,使得原先环境辨识单元242所判断错误的静态物件O'的外观数据D3,可以被更新为正确的静态物件O,此处即从原先判断错误的画作根据电视机传送的回馈信号S2,而被更新为辨识静态物件O的影像为电视机。
其中,回馈信号S2包括至少一智能电子装置1的一识别数据D6,环境辨识单元242依据识别数据D6更新所辨识的至少一静态物件O,识别数据D6可例如为电器的名称、厂牌、型号、尺寸、配色等,有助于环境辨识单元242可以正确辨识静态物件O的参考,同前例,若识别数据D6显示一台SONY 55吋银色液晶电视,通过回馈信号S2把识别数据D6所包括的信息回传至环境辨识单元242,因此,若环境辨识单元242原先依据外观数据D3辨识的静态物件O'不是一台液晶电视,将更新所辨识的静态物件O为一台液晶电视。
此外,环境辨识单元242还可依据回馈信号S2的强弱得到关于该至少 一智能电子装置1的一相对距离数据D7,并依据相对距离数据D7更新所辨识的该至少一静态物件O,例如,使用者U具有一台置于客厅的液晶电视及一台置于厨房的咖啡机,此时若由于置于客厅的液晶电视其设置地点较接近智能控制装置2a所设置的地点(假设同为设置于客厅),则液晶电视其回馈信号S2将比置于厨房的咖啡机的回馈信号S2更强,因此环境辨识单元242可以根据回馈信号S2强弱而得到相对距离数据D7,而能正确辨识静态物件O为液晶电视而不是咖啡机。
再者,动作辨识单元241亦可接收来自至少一智能电子装置1的回馈信号S2,并依据回馈信号S2更新行为数据D2,同前例女士打开电视机的行为,假若辨识模块24a通过影像数据D1,无法正确判读影像画面中女士的行为是在打开电视机,也就是说,动作辨识单元241产生的是有误甚至错误的行为数据D2',则通过智能电子装置1(例如电视机)的回馈信号S2回馈至动作辨识单元241,可使动作辨识单元241判读的行为数据D2'被更新为正确的行为数据D2,即使动作辨识单元241能正确判断画面中女士的行为是在打开电视机。
值得强调的三点,其一是本实施例的身份识别模块21能通过使用者的特征达到精确识别至少一位使用者身份I的功能;其二是学习记录模块22a除了学习使用者U对至少一智能电子装置1的操作以外,学习记录模块22a还可以学习智能控制装置2a对智能电子装置1的操作,或是另一智能电子装置对智能电子装置1的操作,因此学习记录模块22a具有非常充足的学习来源,并可涵盖到各种不同类型的操作产生详尽的学习结果R1;其三是当动作辨识单元241及环境辨识单元242无法产生正确的判读数据时,也就是当行为数据D2及环境数据D4有误时,可接收来自智能电子装置1的回馈信号S2,并依据回馈信号S2更新所辨识的行为数据D2及静态物件O,而达到能够提高辨识模块24a的辨识率及准确率。
请参照图4A所示,图4A为本发明另一较佳实施例的一种智能控制装 置2b的功能方块图,智能控制装置2b同样通信连接至少一智能电子装置1。智能控制装置2b除了同样包括身份识别模块21、学习记录模块22b以及控制模块23以外,与前述较佳实施例的智能控制装置2a不同处在于,智能控制装置2b的学习记录模块22b并不会记录及学习使用者U对至少一智能电子装置1的操作并产生学习结果R1,而是另外记录使用者U在一预定区域A出现的时间以学习使用者U的一工作与休息模式M并产生一学习结果R2。
请参照图4B所示,图4B为本发明另一较佳实施例的一种工作与休息模式示意图,预定区域A可以是特定的地点,例如使用者U家里的客厅、厨房、门口、卧房、书房等等,而工作与休息模式M可包括使用者U起床的时间、外出的时间、回家的时间、睡觉的时间、选择的电视频道、晚餐的时间、淋浴的时间、洗衣的时间、穿衣服的时间、阅读的时间、清理的时间、聊天的时间、使用人造物品的时间或读书的时间等等;例如,当学习记录模块22b记录使用者U在早上走出房间的时间,则该时间将被学习记录模块22b记录为使用者U的起床时间。或者,当学习记录模块22b记录使用者U在晚上进入卧房的时间,则该时间将被学习记录模块22b记录为使用者U的睡觉时间。
因此,智能控制装置2b可以通过学习记录模块22b学习记录使用者U出现于预定区域A的时间,以学习使用者U的工作与休息模式M,并产生学习结果R2给控制模块23,以产生控制信号S1到智能电子装置1,通过使用者U出现于预定区域A的时间所产生的工作与休息模式M,智能控制装置2b可更人性化、智能化的控制智能电子装置1。
请参照图5A所示,图5A为本发明另一较佳实施例的一种智能控制系统3的示意图,智能控制系统3包括至少一智能电子装置1、一智能控制装置2a以及管理服务器4,智能控制装置2a通信连接至少一智能电子装置1,本实施例是以两个智能电子装置1与智能控制装置2a通信连接为例,但 智能控制装置2a通信连接智能电子装置1的数量并不以此为限。
智能控制装置2a包括身份识别模块21、学习记录模块22a及控制模块23以外,还包括通信模块25,通信模块25具有将身份识别模块21与学习记录模块22a所产生的信息通信传送到管理服务器4的功能,学习记录模块22a同样电连接身份识别模块21并记录及学习使用者U对至少一智能电子装置1的操作并产生一学习结果R1。控制模块23耦接学习记录模块22a,依据学习结果R1产生控制信号S1以控制智能电子装置1。而且,智能控制装置2a通过通信模块25通信连接管理服务器4,可将身份识别模块21识别后的至少一位使用者身份I识别数据、学习记录模块22a产生的学习结果R1通过通信模块25上传到管理服务器4,以供管理服务器4上作为其他分析或利用所需的资源。例如能够给不同的使用者对于智能电子装置1给予操作上的建议或指示。
关于智能控制装置2a中身份识别模块21、学习记录模块22a及控制模块23的连接关系及其作用与功效已详述于前,于此不再赘述,另外值得一提的是,智能控制系统可还包括一第三方装置(图未显示),第三方装置是连接于管理服务器4以提供服务,管理服务器4根据学习结果R1由第三方装置推送服务给使用者,而服务内容的可包含销售产品、销售票券、检查或修理智能电子装置或播送广告、居家照顾、物流配送等实用的功能,而且管理服务器4可由第三方装置推送服务给使用者U的智能手机、平板电脑、平板装置、笔记本电脑、桌上型电脑或便携式电脑。
而且,智能控制装置2a还可包括多个感测器以撷取一事件信息,事件信息通过智能控制装置上传及存储到管理服务器4,不仅如此,管理服务器4还可传送一存储于管理服务器4的影像串流给使用者U以接收作为使用者U反馈观看的需求;同样的,管理服务器4可将影像串流传送给使用者的智能手机、平板电脑、平板装置、笔记本电脑、桌上型电脑或便携式电脑。
而且,智能控制装置2a可不仅包括感测器,还可包括有一一收集模块 及一节能分析模块(图未显示)。收集模块收集多个其他使用者在预定的范围内对其他智能电子装置的操作并产生一收集数据。节能分析模块电连接收集模块,并分析收集模块产生的收集数据以产生一节能信息。其中,节能信息被传送到智能控制装置2a,因此智能控制装置2a可通过节能信息控制智能电子装置1。
请参照图5B所示,图5B为本发明另一较佳实施例的一种智能控制系统3a的示意图,智能控制系统3a同样包括至少一智能电子装置1、一智能控制装置2a'以及管理服务器4a。智能控制装置2a'与智能控制装置2a、及管理服务器4a与管理服务器4的不同处在于,智能控制装置2a'除了身份识别模块21可以不设置于智能控制装置2a'内部之外,学习记录模块22a也可以不设置于智能控制装置2a'内部,并可以将其移至管理服务器4a设置。
智能控制装置2a'可连接于智能电子装置1以获取使用者U使用智能电子装置1时的操作及使用者的身份信息。换句话说,管理服务器4a除了包括身份识别模块21以外,还包括学习记录模块22a。在此种情形当中,管理服务器4a可同时设置身份识别模块21及学习记录模块22a,身份识别模块21接收使用者U的身份信息以识别至少一位使用者的身份I,学习记录模块22a接收使用者U使用智能电子装置1时的操作,且记录并学习关于使用者U之操作,而因此兼具识别至少一位使用者U的身份I以及记录及学习使用者U对至少一智能电子装置1的操作,并产生一学习结果R1回传至智能控制装置2a'的控制模块23,以传送控制信号S1对不同的智能电子装置1进行控制。
此外,智能控制系统3a的其他技术特征可参照上述智能控制系统3的相关说明,不再赘述。
请参照图6A所示,图6A为本发明另一较佳实施例的一种智能控制系统3b的示意图,智能控制系统3b同样包括至少一智能电子装置1、一智能控制装置2b以及管理服务器4b,智能控制装置2b通信连接至少一智能电 子装置1,本实施例是以两个智能电子装置1与智能控制装置2b通信连接为例,但智能控制装置2b通信连接智能电子装置1的数量并不以此为限。
智能控制装置2b包括身份识别模块21、学习记录模块22b及控制模块23以外,还包括通信模块25,通信模块25具有将身份识别模块21与学习记录模块22b所产生的信息,通信传送到管理服务器4b的功能,与前述的智能控制系统3的不同之处在于,学习记录模块22b电连接身份识别模块21,并记录使用者U在预定区域A出现的时间以学习使用者U的工作与休息模式M,并产生一学习结果R2。
控制模块23耦接学习记录模块22b,依据学习结果R2产生一控制信号S1以控制智能电子装置1。而且,智能控制装置2b通过通信模块25通信连接管理服务器4b,并可将身份识别模块21识别至少一位使用者身份I后的识别数据、学习记录模块22b产生的学习结果R2,通过通信模块25上传到管理服务器4b,以供管理服务器4b上作为其他分析利用所需的资源。例如可使其他使用者的智能电子装置1,能够根据使用者常见的工作与休息模式,而在特定的时间上开启或关闭的建议或指示。
关于智能控制装置2b中身份识别模块21、学习记录模块22b及控制模块23的连接关系及其作用与功效已详述于前,于此不再赘述。
请参照图6B所示,图6B为本发明另一较佳实施例的一种智能控制系统3c的示意图,智能控制系统3c同样包括至少一智能电子装置1、一智能控制装置2b'以及管理服务器4c。智能控制装置2b'记录使用者U出现在预定区域A的时间,以产生记录数据并获取使用者的身份信息,智能控制装置2b'与智能控制装置2b、及管理服务器4c与管理服务器4b的不同处在于,智能控制装置2b'除了身份识别模块21可以不设置于智能控制装置2b'内部之外,学习记录模块22b也可以不设置于智能控制装置2b'内部,并可以将其移至管理服务器4c上设置。
换句话说,管理服务器4c除了包括身份识别模块21以外,还包括学习 记录模块22b。在此种情形当中,管理服务器4c可同时设置身份识别模块21及学习记录模块22b,身份识别模块21接收使用者的身份信息以识别至少一位使用者的身份I,学习记录模块22b接收记录数据及学习使用者U的工作休息时间并产生学习结果R2传送到智能控制装置2b'。
因此,管理服务器4c兼具识别使用者U的身份I及记录使用者U在预定区域A出现的时间,以学习使用者U的工作与休息模式M,并产生学习结果R2,将其结果回传至智能控制装置2b'的控制模块23,以传送控制信号S1对不同的智能电子装置1进行控制。
此外,智能控制系统3c的其他技术特征可参照上述智能控制系统3b的相关说明,不再赘述。
另外,本发明还提出一种存储媒体SM1,请参照图7A所示,图7A为本发明另一较佳实施例的一种存储媒体SM1的功能方块图,存储媒体SM1存储一种应用软件APP1适用及安装于一个至少与一智能电子装置1通信连接的一主体装置(图未显示),请参照图8A并配合图1所示,以说明本发明较佳实施例的应用软件APP1的执行方法。其中,图8A为本发明较佳实施例的一种应用软件执行流程步骤图。应用软件执行至少以下步骤:识别至少一使用者的身份(步骤S01)、记录并学习使用者对智能电子装置的操作并产生学习结果(步骤S02)、使主体装置根据学习结果产生并传送一控制信号以控制智能电子装置(步骤S03)。
此外,本发明还提出另一种存储媒体SM2,请参照图7B所示,图7B为本发明再一较佳实施例的一种存储媒体SM2的功能方块图,存储媒体SM2同样存储一种应用软件APP2适用及安装于一个至少与一智能电子装置1通信连接的一主体装置(图未显示),请参照图8B并配合图1所示,以说明本发明另一较佳实施例的应用软件APP2的执行方法。其中,图8B为本发明再一较佳实施例的一种应用软件执行流程步骤图。应用软件执行至少以下步骤:识别至少一使用者的身份(步骤S01)、记录使用者在一预决定 区域出现的时间以学习使用者的工作与休息模式并产生学习结果(步骤S02)、使主体装置根据学习结果产生并传送一控制信号以控制智能电子装置(步骤S03)。
智能控制装置的控制方法的其他技术特征可参照上述智能控制系统3的相关说明,于此不再赘述。
综上所述,于本发明所提供的智能控制装置中,智能控制装置的身份识别模块可识别至少一位使用者的身份,学习记录模块记录及学习使用者对至少一智能电子装置的操作并产生一学习结果;或者,记录使用者在一预定区域出现的时间以学习使用者的一工作与休息模式并产生另一学习结果,控制模块再依据学习记录模块产生的学习结果,产生并传送一控制信号至智能电子装置。据此,智能控制装置可以依照使用者的身份、使用者对智能电子装置操作的行为、使用者在预定区域出现的工作与休息模式时间不同、以及周边环境而有对应不同的控制,提供专属使用者操作行为与习惯的人性化服务,并能根据其自身平常所处的环境与条件,而使智能电子装置有相对应的作动功能。本发明解决了现有的智能控制装置及智能电子装置(物联网装置)无法根据使用者工作与休息的时间,而使智能电子装置(物联网装置)有相对应不同的作动,无法同时增加使用者操作智能电子装置(物联网装置)时的身份识别安全性,以及无法具有同时兼具辨识周遭环境的条件及使用者操作行为而改变控制的问题。
以上所述仅为举例性,而非为限制性者。任何未脱离本发明的精神与范畴,而对其进行的等效修改或变更,均应包含于所附的权利要求中。

Claims (10)

  1. 一种智能控制装置,其特征在于,通信连接至少一智能电子装置,该智能控制装置包括:
    一身份识别模块,识别至少一使用者的身份;
    一学习记录模块,电连接该身份识别模块,记录及学习该使用者对该至少一智能电子装置的操作并产生一学习结果;以及
    一控制模块,耦接该学习记录模块,依据该学习结果产生并传送一控制信号以控制该智能电子装置。
  2. 如权利要求1所述的智能控制装置,其特征在于,该身份识别模块为脸部识别模块、虹膜识别模块、指纹识别模块、声音识别模块或手势辨识模块。
  3. 如权利要求1所述的智能控制装置,其特征在于,该身份识别模块包括一影像撷取模块以撷取至少两笔影像数据,且该智能控制装置另包括一辨识模块,耦接该影像撷取模块,依据该至少两笔影像数据得到该使用者的一行为数据及至少一静态物件的一外观数据,并依据该至少一静态物件的该外观数据得到一环境数据。
  4. 如权利要求3所述的智能控制装置,其特征在于,该控制模块依据该行为数据与该环境数据得到一事件数据,并依据该事件数据产生并传送一控制信号至所述至少一智能电子装置。
  5. 如权利要求4所述的智能控制装置,其特征在于,该辨识模块包括:
    一动作辨识单元,依据该使用者的动作得到该行为数据;以及
    一环境辨识单元,依据该外观数据辨识所述至少一静态物件,并依据所辨识的所述至少一静态物件得到该环境数据。
  6. 如权利要求5所述的智能控制装置,其特征在于,该环境辨识单元 接收来自所述至少一智能电子装置的一回馈信号,并依据该回馈信号更新所辨识的所述至少一静态物件。
  7. 如权利要求6所述的智能控制装置,其特征在于,该回馈信号包括所述至少一智能电子装置的一识别数据,该环境辨识单元依据该识别数据更新所辨识的所述至少一静态物件。
  8. 如权利要求6所述的智能控制装置,其特征在于,该环境辨识单元依据该回馈信号的强弱得到关于所述至少一智能电子装置的一相对距离数据,并依据该相对距离数据更新所辨识的所述至少一静态物件。
  9. 如权利要求5所述的智能控制装置,其特征在于,该动作辨识单元接收来自所述至少一智能电子装置的一回馈信号,并依据该回馈信号更新该行为数据。
  10. 一种智能控制装置,其特征在于,通信连接至少一智能电子装置,该智能控制装置包括:
    一身份识别模块,识别至少一使用者的身份;
    一学习记录模块,电连接该身份识别模块,记录该使用者在一预定区域出现的时间以学习该使用者的一工作与休息模式并产生一学习结果;以及
    一控制模块,耦接该学习记录模块,依据该学习结果产生并传送一控制信号以控制该智能电子装置。
PCT/CN2016/077959 2015-04-01 2016-03-31 智能控制装置与系统 WO2016155639A1 (zh)

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Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105847099B (zh) * 2016-05-30 2019-12-06 北京百度网讯科技有限公司 基于人工智能的物联网实现系统和方法
CN106886162A (zh) * 2017-01-13 2017-06-23 深圳前海勇艺达机器人有限公司 智能家居管理的方法及其机器人装置
CN107391983B (zh) 2017-03-31 2020-10-16 创新先进技术有限公司 一种基于物联网的信息处理方法及装置
CN109213310B (zh) * 2017-07-05 2022-05-27 阿里巴巴集团控股有限公司 信息互动设备、数据对象信息处理方法及装置
CN107885818A (zh) * 2017-11-06 2018-04-06 深圳市沃特沃德股份有限公司 机器人及其服务方法和装置
CN107945619A (zh) * 2017-11-15 2018-04-20 深圳市沃特沃德股份有限公司 学习语言的方法、装置及学习机器人
CN108196461A (zh) * 2018-02-07 2018-06-22 宁夏慧百通赢科技有限公司 智能家居设备的控制方法、装置和智能家居系统
KR20200047205A (ko) 2018-10-26 2020-05-07 삼성전자주식회사 전자 장치 및 이의 제어 방법
TWI688872B (zh) * 2018-12-28 2020-03-21 中華電信股份有限公司 語音控制物聯網裝置之系統與方法
US11487873B2 (en) * 2019-01-22 2022-11-01 EMC IP Holding Company LLC Risk score generation utilizing monitored behavior and predicted impact of compromise
CN109976169B (zh) * 2019-03-08 2022-08-12 佛山市云米电器科技有限公司 基于自学习技术的互联网电视智能控制方法及控制系统
CN110200468A (zh) * 2019-05-24 2019-09-06 济南浪潮高新科技投资发展有限公司 一种智能窗帘控制方法及系统

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011197929A (ja) * 2010-03-18 2011-10-06 Optim Corp 所持品リストを表示するシステム、方法及びプログラム
CN103019376A (zh) * 2012-12-04 2013-04-03 深圳Tcl新技术有限公司 基于身份识别的遥控功能配置方法和系统
CN103295028A (zh) * 2013-05-21 2013-09-11 深圳Tcl新技术有限公司 手势操作控制方法、装置及智能显示终端
CN103729585A (zh) * 2013-12-06 2014-04-16 南通芯迎设计服务有限公司 一种家庭自动化系统
CN104092775A (zh) * 2014-07-24 2014-10-08 福州瑞芯微电子有限公司 智能家电自学习方法和系统
CN203925102U (zh) * 2014-05-15 2014-11-05 杨玉峰 一种具有自学习功能的智能门窗控制系统

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100087144A1 (en) * 2008-10-02 2010-04-08 Roni Korenshtein Short Range Exchange of Information
CN101718988A (zh) * 2009-12-01 2010-06-02 山东大学 行为习惯感知智能家居设备控制系统
US20140266639A1 (en) * 2013-03-15 2014-09-18 Ebay Inc. Automated mobile device configuration for remote control of electronic devices
CN104281113A (zh) * 2013-07-12 2015-01-14 李文嵩 智能住宅系统及其运作方法
CN103942575A (zh) * 2014-04-02 2014-07-23 公安部第三研究所 基于场景和马尔科夫逻辑网的智能行为分析系统及方法
CN104007741B (zh) * 2014-06-12 2017-01-18 深圳市智能帮科技有限公司 即插即用式智能家居系统
CN104407702A (zh) * 2014-11-26 2015-03-11 三星电子(中国)研发中心 基于情境感知执行动作的方法、装置和系统
CN105045140B (zh) * 2015-05-26 2019-01-01 深圳创维-Rgb电子有限公司 智能控制受控设备的方法和装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011197929A (ja) * 2010-03-18 2011-10-06 Optim Corp 所持品リストを表示するシステム、方法及びプログラム
CN103019376A (zh) * 2012-12-04 2013-04-03 深圳Tcl新技术有限公司 基于身份识别的遥控功能配置方法和系统
CN103295028A (zh) * 2013-05-21 2013-09-11 深圳Tcl新技术有限公司 手势操作控制方法、装置及智能显示终端
CN103729585A (zh) * 2013-12-06 2014-04-16 南通芯迎设计服务有限公司 一种家庭自动化系统
CN203925102U (zh) * 2014-05-15 2014-11-05 杨玉峰 一种具有自学习功能的智能门窗控制系统
CN104092775A (zh) * 2014-07-24 2014-10-08 福州瑞芯微电子有限公司 智能家电自学习方法和系统

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