WO2018032512A1 - 控制系统 - Google Patents

控制系统 Download PDF

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Publication number
WO2018032512A1
WO2018032512A1 PCT/CN2016/096095 CN2016096095W WO2018032512A1 WO 2018032512 A1 WO2018032512 A1 WO 2018032512A1 CN 2016096095 W CN2016096095 W CN 2016096095W WO 2018032512 A1 WO2018032512 A1 WO 2018032512A1
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WO
WIPO (PCT)
Prior art keywords
module
data
sensor
power
adjustment
Prior art date
Application number
PCT/CN2016/096095
Other languages
English (en)
French (fr)
Inventor
史德锋
周林
关山
赵涛
Original Assignee
绿仕科技控股有限公司
路晟(上海)科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 绿仕科技控股有限公司, 路晟(上海)科技有限公司 filed Critical 绿仕科技控股有限公司
Priority to US16/326,701 priority Critical patent/US20190253271A1/en
Priority to PCT/CN2016/096095 priority patent/WO2018032512A1/zh
Priority to CN201680088581.6A priority patent/CN109661634A/zh
Publication of WO2018032512A1 publication Critical patent/WO2018032512A1/zh

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00Control of temperature
    • G05D23/19Control of temperature characterised by the use of electric means
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803Home automation networks
    • H04L12/2816Controlling appliance services of a home automation network by calling their functionalities
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00Control of temperature
    • G05D23/19Control of temperature characterised by the use of electric means
    • G05D23/1902Control of temperature characterised by the use of electric means characterised by the use of a variable reference value
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00Control of temperature
    • G05D23/19Control of temperature characterised by the use of electric means
    • G05D23/1927Control of temperature characterised by the use of electric means using a plurality of sensors
    • G05D23/1928Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperature of one space
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D25/00Control of light, e.g. intensity, colour or phase
    • G05D25/02Control of light, e.g. intensity, colour or phase characterised by the use of electric means
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D27/00Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
    • G05D27/02Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803Home automation networks
    • H04L12/2807Exchanging configuration information on appliance services in a home automation network
    • H04L12/2814Exchanging control software or macros for controlling appliance services in a home automation network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803Home automation networks
    • H04L12/2816Controlling appliance services of a home automation network by calling their functionalities
    • H04L12/282Controlling appliance services of a home automation network by calling their functionalities based on user interaction within the home
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803Home automation networks
    • H04L12/283Processing of data at an internetworking point of a home automation network
    • H04L12/2834Switching of information between an external network and a home network

Definitions

  • the present disclosure relates to a control system, and more particularly to an intelligent control system and method for feedback regulation and power management techniques.
  • Smart home is the embodiment of materialization under the influence of the Internet.
  • Smart Home connects various devices in the home (such as audio and video equipment, lighting systems, security systems, digital cinema systems, audio and video servers, network appliances, etc.) through IoT technology, providing home appliance control, lighting control, and telephone remote control.
  • IoT technology providing home appliance control, lighting control, and telephone remote control.
  • the smart home system takes home appliances and home appliances as the main control objects, and uses integrated wiring technology, network communication technology, security technology, automatic control technology, audio and video technology to efficiently integrate home-related facilities and build efficient residential facilities.
  • the home calendar transaction control management system enhances home intelligence, safety, convenience, comfort, and implements an environmental control system platform. Compared with ordinary homes, smart homes not only have traditional residential functions, but also provide building, network communication, information appliances, equipment automation, and provide a full range of information interaction functions.
  • the system can include a data receiving module, a processing module, an adjustment module, and a power management module.
  • the data receiving module can receive data. This data can be related to the operation of the first device.
  • the processing module can process the data.
  • the adjustment module can generate a control command based on the processed data.
  • the control command can adjust the operation of the first device.
  • the power management module can manage the power of the first module or the first device in the system.
  • the system can further include a wireless communication module.
  • the wireless communication module can wirelessly communicate with the first device or the second device.
  • Some embodiments of the present application provide a method.
  • the method includes receiving data via a data receiving module that is related to operation of the first device.
  • the method further includes processing the data by a processing module.
  • the method further includes generating, by the adjustment module, a control command based on the processed data, the control command adjusting operation of the first device.
  • the method further includes managing a first module or a power source of the first device via a power management module.
  • the method can further include wirelessly communicating with the first device or the second device via a wireless communication module.
  • Some embodiments of the present application provide a computer readable storage medium storing executable instructions.
  • the executable instructions cause a computer device to perform data reception via a data receiving module that is associated with operation of the first device.
  • the executable instructions further cause a computer device to execute processing the data through a processing module.
  • the executable instructions further cause a computer device to execute, via an adjustment module, a control command based on the processed data, the control command adjusting operation of the first device.
  • the executable instructions further cause a computer device to perform power management of a first module or the first device via a power management module.
  • the data that the data receiving module can receive is from one sensor.
  • the senor may include an acoustic sensor, a temperature sensor, a humidity sensor, a motion sensor, a brightness sensor, or an energy sensor. one or more.
  • the temperature sensor can measure the temperature of the first module or first device in the system.
  • the first module can include a processing module, an adjustment module, or a data receiving module, and the like.
  • the first device may include one or more of a humidifier, an air conditioner, an electric fan, an LED lamp, a mercury lamp, a halogen lamp, a metal halide lamp, and an incandescent lamp.
  • the power management module can provide the required voltage to the first module or the first device.
  • the adjustment module can further include a power conditioning unit.
  • the power conditioning unit can change the operation of the first device by adjusting the input power of the first device.
  • the adjustment module can further include one other device adjustment unit.
  • the other device adjustment unit can generate a second control command.
  • the second control command can adjust an operating mode of the second device.
  • the second device includes an electrical appliance, a smart doorbell, an antitheft device, an intelligent lighting device, a smart curtain, a boiler control device, a heating control device, a water tank level adjustment device, or a smart door. lock.
  • FIG. 1 is a schematic diagram of an example system configuration of an intelligent control system shown in accordance with some embodiments of the present invention
  • FIG. 2 is a schematic diagram of an intelligent control system shown in accordance with some embodiments of the present application.
  • FIG. 3 is an exemplary flow chart of an intelligent control system shown in accordance with some embodiments of the present application.
  • FIG. 4 is a schematic diagram of a data receiving module according to some embodiments of the present application.
  • 5A is a schematic diagram of an adjustment module shown in accordance with some embodiments of the present application.
  • 5B is a schematic diagram of a power conditioning unit shown in accordance with some embodiments of the present application.
  • FIG. 6 is a schematic diagram of a lighting adjustment unit shown in accordance with some embodiments of the present application.
  • FIG. 7 is a schematic diagram of a power management module shown in accordance with some embodiments of the present application.
  • FIG. 8 is a schematic diagram of a remote device shown in accordance with some embodiments of the present application.
  • 9A is an exemplary flow diagram of generating control instructions based on collected data, in accordance with some embodiments of the present application.
  • 9B is an exemplary flow chart of power adjustments shown in accordance with some embodiments of the present application.
  • 9C is an exemplary flow diagram of other device adjustments shown in accordance with some embodiments of the present application.
  • FIG. 10 is an exemplary flow diagram of a power management operation illustrated in accordance with some embodiments of the present application.
  • FIG. 11 is a circuit schematic diagram of a processing module shown in accordance with some embodiments of the present application.
  • FIG. 12 is a circuit diagram of a wireless communication module shown in accordance with some embodiments of the present application.
  • FIG. 13 is a circuit diagram of a power management module shown in accordance with some embodiments of the present application.
  • 14A is a circuit schematic of a sensor device shown in accordance with some embodiments of the present application.
  • 14B is a circuit schematic of a sensor device shown in accordance with some embodiments of the present application.
  • 15 is a circuit diagram of a power management module and an adjustment module according to some embodiments of the present application.
  • 16 is a circuit schematic of a processing module shown in accordance with some embodiments of the present application.
  • 17 is a circuit schematic of a power management module shown in accordance with some embodiments of the present application.
  • the method described in the present specification includes receiving a data information, analyzing the received data information, and generating control information through the analysis and processing result of the data information, and controlling and adjusting the working state of the different devices.
  • the method described in the present specification also includes generating different control information according to the working state adjustment manner of different devices, and separately controlling the working state of the corresponding device.
  • the present specification is directed to an intelligent control system.
  • the intelligent control system may include a data receiving module, a processing module, an adjustment module, a wireless communication module, and a power management module.
  • System configuration 100 can include an intelligent management system 110, one or more other devices 120, one or more lighting devices 130, one or more remote devices 140, and one or more sensor devices.
  • the intelligent control system 110 can be a system that is coupled to each device. In some embodiments, the manner in which the intelligent control system 110 is connected to each device may be wired or wireless. In some embodiments, the connection of intelligent control system 110 to each device can be bidirectional. In some embodiments, intelligent control system 110 can receive sensor data acquired from sensor device 150. The sensor data may include one or more of sound data, temperature data, humidity data, motion data, brightness data, and energy consumption data. In some embodiments, the intelligent control system 110 can analyze the received sensor data and detect anomaly data therein. Further, the intelligent control system 110 can control a sensor that has abnormal data to perform multiple acquisitions or adjust the sensor with abnormal data. In some embodiments, the intelligent control system 110 can generate one or more control information that can be based on the collected sensor data.
  • control information can adjust the operating conditions of the lighting device 130 as well as the remote device 140.
  • the intelligent control system can be an integrated chip or circuit, such as a processor or the like. In some embodiments, the intelligent control system can be comprised of multiple sub-circuits.
  • Lighting device 130 can be any device that converts electrical energy into light energy.
  • illumination device 130 can include, but is not limited to, one or more of an LED light, a mercury light, a halogen light, a metal halide light, and an incandescent light.
  • the operational state of the illumination device 130 can be adjusted by an intelligent control system.
  • the adjustment of the working state may include, but is not limited to, brightness adjustment, switching One or a combination of knots, light color adjustments (eg, LED color change lights with color change characteristics), illumination duration adjustments, flash frequency adjustments, and the like.
  • the brightness of the lighting device and the adjustment of the switch can be based on the input power of the lighting device. Further, the input power of the lighting device can be adjusted by the intelligent control system 110.
  • Other devices 120 can be any powered device such as an air conditioner, television, refrigerator, and the like.
  • the operational status of other devices 120 can be adjusted by intelligent control system 110.
  • the adjustment of the operating states of the other devices 120 is not by directly adjusting their input power. Instead, the operating state of the other device 120 can be adjusted by receiving control signals from the intelligent control system 110. The adjustment method can vary depending on the different operating characteristics of the other devices 120.
  • the intelligent control system 110 can adjust the other devices 120 through preset lines or modules that are connected to other devices 120.
  • the intelligent control system 110 can adjust the other devices by wireless signals, such as infrared signals, microwave signals, radio wave signals, and the like.
  • Remote device 140 can be any device that has remote communication capabilities.
  • remote device 140 can include one or more of an appliance, a smart doorbell, an antitheft device, smart lighting, smart curtains.
  • remote device 140 can communicate bi-directionally with intelligent control system 110.
  • the remote device can receive the control information of the intelligent control system 110, and perform a corresponding operation to feed back the result to the intelligent control system 110.
  • remote device 140 can also actively send information to intelligent control system 110 at any time.
  • Sensor device 150 can be any device that collects raw data.
  • sensor device 150 can include, but is not limited to, one or more of a sound sensor, a temperature sensor, a humidity sensor, a motion sensor, a brightness sensor, and a power sensor.
  • the sensor Device 150 can communicate the collected data to the intelligent control system 110.
  • intelligent control system 110 can control the acquisition of the sensor device 150.
  • sensor device 150 can acquire at a fixed time interval and transmit the collected data to intelligent control system 110.
  • the sensor device 150 may include a cache module, and the cache module may store the collected data and send the stored data to the intelligent control system if the time or conditions are met. 110. Further, the sensor device 150 may include a pre-processing module that can pre-process the collected data. In some embodiments, sensor device 150 may only transmit pre-processed data to the intelligent control system.
  • devices in the intelligent control system 110, other devices 120, lighting devices 130, remote devices 140, sensor devices 150, and/or modules in each device may need to communicate at the same time.
  • a method for reducing mutual interference between systems or modules during communication is disclosed in International Patent Application No. (Attorney Docket No.: P1B165273PCT) entitled “Wireless Interference-Rejecting Transceiver System", which is filed on the same day as the present application. This is incorporated herein by reference.
  • sensor device 150 can be included in lighting device 130, other device 120, remote device 140 such that the devices can simultaneously detect and transmit data or other data of the devices to intelligent control system 110 while in normal operation.
  • other devices 120 and remote devices 140 may be the same or the same type of device, such as remote device 140 may be some powered device that includes a remote communication module, while other devices 120 may receive remote control of intelligent control system 110.
  • the intelligent control system 110 can include a data receiving module 210, a processing module 220, an adjustment module 230, a wireless communication module 240, and a power management module 250.
  • the data receiving module 210 can receive data from external devices and other modules in the system. In some embodiments, data receiving module 210 can receive the data in a wired or wireless manner. In some embodiments, the data receiving module 210 can receive sensor data acquired by the sensor device 150. The sensor data may include one or more of sound data, temperature data, humidity data, motion data, brightness data, and energy consumption data. In some embodiments, the data receiving module 210 can receive feedback information from an external device and send the feedback information to the processing module 220. The processing module 220 can analyze the data and determine whether there is abnormal data. In some embodiments, data receiving module 210 can receive data from user input. For example, the user can adjust the system through an operation interface.
  • the processing module 220 can be a control core module for data analysis processing. In some embodiments, processing module 220 can be interconnected with other modules in the system. In some embodiments, the manner in which the processing module 220 is coupled to other modules in the system can be wired or wireless. In some embodiments, the processing module 220 can analyze the data from the data receiving module 210 and detect the abnormal data therein. In some embodiments, the processing module 220 can control the device that regulates the occurrence of abnormal data. In some embodiments, processing module 220 can generate one or more control information (also referred to as control instructions). The control information may be based on data received by the data receiving module 210. In some embodiments, the processing module 220 can control the remote device 140 through the wireless communication module 240.
  • processing module 220 can display the data information on the user interface.
  • processing module 220 can include one or more interconnected processing units. Its The one or more processing units may be in communication or connected with some or all of the modules or devices in the system.
  • the adjustment module 230 can adjust the operating state of the control device.
  • the adjustment module 230 can include a power conditioning unit and an additional device conditioning unit.
  • the adjustment module 230 can be coupled to the illumination device 130 and the other device 120.
  • the manner in which the adjustment module 230 is coupled to the illumination device 130 and other devices 120 can be wired or wireless.
  • the adjustment module 230 can adjust the operational status of the device by adjusting the power level of the device. For example, the illumination brightness is adjusted by adjusting the power level of the illumination device.
  • the adjustment module 230 may not adjust the operating state of other devices by directly adjusting the input power of other devices.
  • the adjustment method can vary depending on the different operating characteristics of the other devices 120.
  • the wireless communication module 240 can communicate bi-directionally with the remote device 140.
  • the remote device 140 may include one or more of an appliance, a smart doorbell, an antitheft device, smart lighting, smart curtains.
  • the wireless communication module 240 can receive control information from the processing module 220 and send it to the remote device 140 to control and regulate the operational status of the remote device 140.
  • the power management module 250 can control the power of other modules in the intelligent control system 110 as well as devices outside the system.
  • the power management module 250 can include a DC to analog conversion unit.
  • the DC AC conversion unit can convert the commercial AC power into one or more DC power.
  • the power management module 250 can include a transformer unit.
  • the transformer unit can be processed by buck or boost to obtain different voltages.
  • the power management module 250 can allocate the required voltage according to the type of current or the size requirement of the voltage of different devices or modules. And current.
  • the intelligent control system can receive one or more data.
  • the one or more data may include data of an external device and data of other modules in the system.
  • the data of the external device can include sensor data acquired by the sensor.
  • the sensor data may include one or more of sound data, temperature data, humidity data, motion data, brightness data, and energy consumption data.
  • the data of other modules in the system may include operational parameters of other modules, such as real-time current, voltage, and power levels; and the temperature of the circuits when each module is operating.
  • the one or more data may also include feedback information for the device.
  • the intelligent control system can process the data information received in step 302.
  • the intelligent control system can generate control instructions based on the results of the information processing.
  • the control instructions may include power adjustment commands, remote device adjustment commands, and other device adjustment commands.
  • the control command can control the temperature of the air conditioner by adjusting the switch of the air conditioner.
  • the control commands can adjust the brightness and switches of the lighting device.
  • the intelligent control system may transmit the control command in step 304 to the remote device by wireless communication.
  • the wireless communication mode technology may include, but is not limited to, one or more of Zigbee technology, Bluetooth technology, Z-Wave technology, Wi-Fi technology, and EnOcean technology.
  • the intelligent control system can transmit the control command in step 304 to the lighting device and other devices to adjust the operating state of the device.
  • the adjustment method can include power adjustments and other adjustments.
  • the illumination brightness is adjusted by adjusting the power level of the illumination device.
  • Another example is to adjust the heating by adjusting the opening size of the heating air inlet. The amount of intake air, thereby adjusting the indoor temperature.
  • the adjustment method can vary depending on the different operating characteristics of the device.
  • the data receiving module 210 may include a data receiving unit 410, a data sorting unit 420, a pre-processing unit 430, and the like.
  • the data receiving unit 410 can receive data from other modules or external devices (eg, sensor device 150, remote device 140, lighting device 130, other devices 120, etc.) in the intelligent control system 110.
  • the received data may include sound data, temperature data, humidity data, motion data, brightness data, energy consumption data, user input data, and the like.
  • the temperature data can include ambient temperature or temperature of one or more devices in the system, and the like.
  • the humidity data may include ambient humidity or the like.
  • the motion data may include information of objects or human motion in the environment, and the like.
  • the sound data may include environmental noise, abnormal sound, sound of the acoustic device itself, and the like.
  • the brightness data may include the brightness level of the environment, the light intensity, the ultraviolet intensity, the position of the light source, and the like.
  • the energy consumption data may include, but is not limited to, total energy consumption data in the system, energy consumption data of each device or module, total energy consumption data of the home, and the like.
  • the user input data may include temperature, humidity, device timing, illumination brightness, system operation mode, and the like set by the user.
  • the user may input setting parameter data through an operation interface and receive it by the data receiving unit according to custom or personal preference.
  • the operator interface may be located within the system or external to the system.
  • the user habit or personal preference may include one or more of a user's appropriate indoor temperature, sleep duration, normal rest period, suitable hot water temperature, commuting time, and the like.
  • the data classification unit 420 can classify the data according to their respective types.
  • data classification unit 420 can classify the data received by data receiving unit 410.
  • the received data may each include a data tag; data classification unit 420 may classify the received data based on the data tag.
  • the data tag may refer to one or more symbols or flags used to distinguish and indicate the type of data.
  • the data tag can be provided by a data source (such as sensor device 150).
  • data classification unit 420 can also classify the received data based on other characteristics of the data, such as the extent, length, number, etc. of the data.
  • the pre-processing unit 430 can pre-process the data.
  • the pre-processing of the data can include noise reduction processing on the data.
  • the noise reduction process may include removing noise in the data by a filtering algorithm such as an average filtering algorithm, a median filtering algorithm, a wiener filtering algorithm, or the like.
  • the entire data can be deleted and the data re-received.
  • the pre-processing of the data may include clustering the data classified by the data classification unit 420 according to a data type or a data source. Further, the clustered data may be sent together to the processing module 220 for subsequent processing.
  • the pre-processing unit 430 can perform different pre-processing on different types of data. For example, different noise reduction processes and the like can be used for different data types.
  • data receiving module 210 can include a plurality of data receiving units.
  • the plurality of data receiving units respectively receive specific types of data and each preprocesses the received specific type of data.
  • the data classified by the data classification unit 420 may be directly sent to the processing module 220 for subsequent processing without passing through the pre-processing unit 430.
  • some of the processing modules 220 may be implemented in the pre-processing unit 430.
  • the pre-processing unit may initially identify and report the abnormal data in the data.
  • a module or device that produces the abnormal data is adjusted.
  • the abnormal data may refer to data whose data range exceeds a normal range or a user preset range. In some embodiments, only data initially identified as normal will be further sent to processing module 220 for subsequent processing, thereby increasing processing and storage efficiency.
  • FIG. 5A is a schematic diagram of an adjustment module shown in accordance with some embodiments of the present application.
  • the adjustment module 230 can include a power conditioning unit 510 and an additional device conditioning unit 520.
  • Power conditioning unit 510 can be coupled to one or more devices and alter the operation of the device by adjusting the input power of the device.
  • the power conditioning unit 510 can be coupled to a luminaire that can change the brightness of the luminaire by varying the input power of the luminaire.
  • Other device conditioning unit 520 can be coupled to one or more devices and generate a control command that can adjust the mode of operation of the device.
  • FIG. 5B is a schematic diagram of a power conditioning unit shown in accordance with some embodiments of the present application.
  • Power conditioning unit 510 can include one or more lighting adjustment sub-units 530. Further, the illumination adjustment subunit 530 can be connected to one illumination device 130, respectively.
  • the power adjustment unit 510 can include a plurality of illumination adjustment sub-units 530-1, 530-2, 530-3, ... 530-N, and the illumination adjustment sub-units 530-1, 530-2, 530 -3...530-N may be connected to a plurality of corresponding lighting devices 130-1, 130-2, 130-3...130-N, respectively.
  • the processing module 220 can issue one or more control information to adjust the output power of the illumination adjustment sub-unit 530.
  • the output power of the illumination adjustment sub-unit 530 corresponds to the input power of the illumination device 130.
  • the operational state of the illumination device 130 eg, brightness, color, etc.
  • the input power of the illumination device can be adjusted to adjust the operational state of the illumination device.
  • the intelligent control system 110 can detect the actual power level of the lighting device and determine whether it meets a predetermined power requirement. If The actual power of the lighting device does not meet the preset power requirement, and may be fed back to the power adjusting unit 510 to further adjust the power level until the actual power of the lighting device meets the preset power requirement.
  • the intelligent control system 110 can determine the different time periods and the active state of the user through the collected sensor data information received by the data receiving module 210.
  • the lighting device can be adjusted to the corresponding working state.
  • the intelligent control system 110 can determine one or more time periods by a timer.
  • the time period includes, but is not limited to, midnight, early morning, early morning, dusk, night, late night, and one or more specific time points and time periods, and the like.
  • the sensor data may include one or more of sound, light, weight, position, temperature, humidity, pressure, current, speed and acceleration, image, tactile sensation, pupil, fingerprint, and the like.
  • sensor data may include changes in morning sun light intensity, seasonal changes, and weather changes.
  • the data receiving module can receive data set by the user, such as the time of normal sleep and wake up time.
  • the processing module 220 can generate one or more deep levels of data based on the received data, such as the user's mood and magnetic field, the user's sleep depth, and the like.
  • the method by which the intelligent control system 110 discriminates the activity state of the user may include comparing the collected information with certain parameters (eg, a reference value, a reference interval, a threshold, a preset value, or a predicted value).
  • the source of the parameters may be set by the user, preset values of the environmental control system 110, or the environmental control system 110 may be based on machine training and the like. Parameters from different sources can have different priorities. In this context, when two different priority parameters are present simultaneously, system 110 uses a higher priority parameter. For example, the parameter input by the user has a higher priority than the parameter obtained by the system machine training, and the participation priority of the machine training is higher than the priority of the system preset value.
  • the processing module 220 may determine that the user is in the corresponding activity. status.
  • the active state includes sleep (such as shallow sleep or deep sleep), low-intensity activities (such as reading, walking, watching TV, etc.) or high-intensity activities (such as exercise, fitness, party activities, etc.).
  • the adjustment module 230 can adjust the lighting device 130 to a corresponding operational state.
  • the operating state of the lighting device may include a wake-up mode, a sleep mode, and the like.
  • the adjustment of the wake-up mode and the sleep mode may include using a wake-up mode algorithm or a sleep mode algorithm that is compliant with the user's habits.
  • the wake-up mode algorithm can include gradually illuminating the brightness of the illumination device 130 such that the user gradually wakes up in a natural manner.
  • the wake-up mode algorithm may include gradually increasing the brightness of the lighting device from 0% to 100% depending on the season and/or weather at the time (the 0% is the lowest brightness level of the lighting device and 100%) For the highest brightness level of the lighting device). After a period of time, the lighting device can be gradually restored to normal indoor brightness.
  • the brightness of the event that is illuminated and/or the brightness of the room light can also be set by the user.
  • the sleep mode algorithm can gradually dim the intensity of the activity and gradually prepare for bedtime by gradually dimming the light intensity of the indoor lighting device.
  • the illumination intensity of the illumination device can be gradually reduced from the current intensity to 0% and then turned off completely after a buffer time.
  • the lighting adjustment subunit 530 can include a zero crossing detection subunit 610 and a power conditioning subunit 620.
  • the zero crossing detection sub-unit 610 can detect a zero crossing interrupt in the circuit.
  • the zero-crossing interrupt may be a process in which an electrical signal changes from -0 to +0 or from +0 to -0 in an alternating current system, and an interrupt signal is issued.
  • the electrical signal has a zero crossing each time from -0 to +0 and from +0 to -0 in each cycle.
  • the frequency of the electrical signal can be detected by detecting the number and time of zero crossings in the electrical signal.
  • the power adjustment sub-unit 620 can adjust the output power of the illumination adjustment sub-unit 530 based on the detection result of the zero-cross detection sub-unit 610, thereby implementing the operation of the illumination device 130. Control of states (such as brightness, etc.).
  • the method for adjusting the brightness of the power adjustment sub-unit 620 may include a phase-cut dimming method, an analog or digital dimming method, a current limiting dimming method, an inductive ballast power splitting position dimming method, and a variable resistance dimming method.
  • variable resistance dimming method pulse duty ratio dimming method, pulse frequency modulation dimming method, adjusting high frequency inverter supply voltage dimming method, pulse phase modulation dimming method, sine wave dimming method, changing series One or more of the dimming method of the inductance value.
  • a method of adjusting the brightness is disclosed in International Patent Application No. (Attorney Docket No.: P1B165270PCT) filed on the same date as the present application, which is incorporated herein by reference.
  • the power management module 250 can include a transformer unit 710, an AC to DC conversion unit 720, an electromagnetic interference protection unit 730, and a voltage distribution unit 740.
  • the transforming unit 710 can perform a step-down or boosting process on the input electrical signal such that the processed different voltages meet the voltage requirements of different devices.
  • the transformer unit 710 can step down or boost the input electrical signal multiple times to meet the voltage requirements of different devices. For example, the transformer unit 710 can first convert a 220V/110V input electrical signal into 7V. The 7V is then converted to 5V and 3.3V to meet the power requirements of devices with voltage requirements of 3.3V, 5V, 7V and 220V/110V.
  • the AC-DC conversion unit 720 can convert the form of the input electrical signal into a desired DC or AC power according to the needs of different devices.
  • the AC to DC conversion unit 720 can include converting a DC input electrical signal into an AC electrical signal by an inverter or the like.
  • the AC to DC conversion unit 720 can include converting an AC input electrical signal to a DC signal via a rectifier or the like.
  • the electromagnetic interference unit 730 can reduce the interference caused by the action of the electromagnetic wave and the electronic component.
  • the voltage distribution unit 740 can distribute the converted and voltage-converted voltages to the respective modules or devices such that all devices and modules operate normally.
  • voltage distribution unit 740 can include a detection circuit. The detection circuit can measure and correct the voltages of other modules in the intelligent control system 110, the illumination device 130, other devices 120, the remote device 140, and the sensor device 150.
  • Remote device 140 may include, but is not limited to, appliances 810, intelligently controlled lighting 820, smart shade 830, anti-theft device 840, smart doorbell 850, and the like.
  • remote device 140 can communicate wirelessly with intelligent control system 110 (eg, via wireless communication module 240).
  • the adjustment module 230 can control one remote device 140 via the wireless communication module 240.
  • data receiving module 210 can receive one or more sensor data.
  • the sensor data can be analyzed in the processing module 220 to generate a control command.
  • the control instructions can be communicated to the remote device 140 and the remote device 140 controlled accordingly.
  • the intelligent control system can control the opening of the smart window 830; when the room brightness is too large during the noon afternoon, the intelligent control system can control the closing of the smart window 830.
  • the intelligent control system 110 can communicate with the remote device 140 via the wireless communication module 240 to implement home controlled functions.
  • the wireless communication module 240 can implement home controlled functions.
  • the intelligent door lock and the automatic anti-defense/defense is realized through communication with the intelligent door lock;
  • the infrared/Bluetooth relay module in the home Communicate to realize the electrical control function with infrared/Bluetooth remote control function; realize the function of remote telephone control by connecting with the public telephone line; connect with the internal electronic devices (such as tablet, mobile phone, computer, etc.) To realize the function of controlling the whole system through the electronic device; by connecting with the home internal telephone and the public switched telephone network respectively, realizing control and remote control of the user's home at any position internally (using the wireless telephone extension), for example, when the user In addition, when indoor theft occurs and the alarm system is triggered, the alarm information can be sent to the user's mobile phone, security company, local police station, and the like.
  • Step 902 can include collecting one or more data information.
  • the one or more data information may include data information of an external device and data information of other modules in the system.
  • the data of the external device can include sensor data acquired by the sensor device 150.
  • the sensor data may include one or more of sound data, temperature data, humidity data, motion data, brightness data, and energy consumption data.
  • the data of other modules in the system may include operational parameters of other modules, such as current, voltage, and power levels, temperatures at which the various modules operate, and the like.
  • the one or more data may also include feedback information for the device or module.
  • Step 904 can include analyzing the collected data information.
  • the method of data information analysis processing may include performing statistics, calculations, screening, sorting, clustering, and the like on the data. For example, data of power is obtained based on data of current and data of voltage.
  • the method of data information analysis processing may further include performing denoising, smoothing, and the like on the information.
  • Step 906 can include determining whether abnormal data is present based on the analyzed data.
  • the determining content may include whether the data is within a normal range, whether the data satisfies a user setting requirement, whether the data is missing, or the like. For example, if the measured ambient temperature is higher than the temperature of the system's normal operating range, the temperature data will be too high warning (anomalies occur) and phase Should be adjusted. If there is abnormal data, step 908 is performed. If the data is all normal, proceed to step 910.
  • Step 908 can include adjusting one or more devices that have anomalous data.
  • the abnormal device can be adjusted by feedback until the detected data is within a reasonable range.
  • the operating temperature of the system circuit can be monitored in real time, and the corresponding device can be adjusted in real time when the temperature is too high or too low.
  • the power of the high-power device can be reduced or the temperature of the circuit can be adjusted within a normal working range of the circuit by the heat dissipation system of the fan or the like.
  • Step 910 can include outputting a control command based on the result of the analyzing process.
  • the control instructions can include power adjustment instructions, remote device adjustment instructions, and other device adjustment instructions, and the like.
  • the control instructions may be sent to the adjustment device by wire or wirelessly. For example, it is sent to the air conditioner by wire or wirelessly, and the switch, air supply time or intensity of the air conditioner is controlled; the lighting device is input to the lighting device by wire or wirelessly, and the switch, brightness, and the like of the lighting device are adjusted.
  • Step 912 can include adjusting device power in accordance with the control command.
  • the method of adjusting device power may include one or more of a method of controlling an input current amount, a method of controlling an input voltage, a phase cutting method, and the like.
  • the power adjustable device can include a light, an electric fan, an air conditioner, a humidifier, and the like.
  • Step 914 can include receiving the actual power of the device.
  • the actual power can be directly detected by the energy consumption sensor.
  • the magnitude of the real-time power can be obtained by a current-voltage sensor detecting the voltage and/or current and then calculating.
  • the device may itself include a power detection module that can detect the power of the device and is received in step 914.
  • the actual power may include actual power when the entire device is operating and/or actual power of one or more components in the device.
  • Step 916 can determine whether the magnitude of the detected actual power meets the requirements.
  • the actual power is too large or too small to affect the operating state and service life of the device. For example, if the power of the illuminator is too large, the brightness will exceed the range of normal operation. If the working time is too long, the heat of the bulb will accumulate, which may cause damage to the bulb. If the actual power does not meet the requirements, then return to step 912 to re-adjust the power; if the actual power meets the requirements, the actual power may be output to the device in step 918.
  • Step 920 can include adjusting an operating state of the other device in accordance with the adjustment command.
  • the other devices may include devices that are not power controlled, but devices that are controlled by switches or operating mode. For example, boiler control equipment, heating control equipment, water tank water level adjustment equipment, smart door locks, smart curtains, etc.
  • Step 922 can include receiving actual operating parameters of the device.
  • the actual operating parameters of the device may be received by sensor device 150, for example, by different sensors (temperature sensor, humidity sensor, acoustic sensor, brightness sensor, energy sensor, etc.) to receive actual parameters of device operation.
  • the actual operating parameters of the device may include parameters of the device itself and parameters within the working environment.
  • Step 924 can determine whether the actual parameters of the received device operation meet the requirements. In some embodiments, if an abnormality occurs in the actual parameters of the device operation, the normal operation of the device may be affected, or the user experience may be affected, and the adjustment may be performed in step 912. For example, pass Through the adjustment of the intake air amount of the winter heating, the indoor temperature can be controlled at 16-24 degrees Celsius. When the temperature is too high or too low, the user will have a poor experience. Through the temperature data received by the indoor temperature sensor, the intake valve of the heating can be adjusted to reduce or increase the amount of intake air to increase or decrease the indoor temperature, and keep the room temperature between 16-24 degrees Celsius. In some embodiments, the actual parameters of the device operation may include data on whether there is a moving object or human body within the environment.
  • the motion sensor when the motion sensor receives data that there is no human activity in the environment, it is possible to control to turn off the lighting device or the air conditioner or the like.
  • the motion sensor detects abnormal human body activity within a certain period of time, it can control to turn on the anti-theft device (such as an anti-theft doorbell, an alarm, etc.). If the actual operating parameters of the device are all normal, the device operating state may be maintained in step 926.
  • Step 1002 can include receiving an input signal.
  • the input signal can be an AC signal from a home power grid.
  • the voltage of the input signal is 220V/110V, and the frequency may be 50HZ.
  • the waveform of the input signal may be a direct current wave, a sine wave, a square wave, a triangular wave, other waveforms, or the like.
  • Step 1004 can include converting the input signal to a first signal.
  • the first signal can be a DC signal.
  • step 1004 can include converting the input AC signal to a DC signal.
  • the conversion method can include, but is not limited to, rectification, filtering, and the like.
  • the conversion can be accomplished by an AC to DC conversion unit 720.
  • Step 1006 can include generating one or more second signals based on the power requirements of each device.
  • the devices may include modules or units in the intelligent control system 100, devices outside the system, and the like.
  • the power requirements of the devices include voltage, current type, and power requirements. begging.
  • the generating one or more second signals may be implemented by the transforming unit 710.
  • Step 1008 can determine whether the second signal matches the power requirement of each device. If not, return to step 1006 to adjust or regenerate the second signal. If matched, one or more second signals may be assigned to the corresponding device in step 1010. The allocation of the second signal can be achieved by the voltage distribution unit 740.
  • FIG. 11 is a circuit schematic of a processing module shown in accordance with some embodiments of the present application. As shown in FIG. 11, the module 1110 is a part of the processing module, and its operation mode and working principle can be referred to the corresponding description of the processing module 220 in FIG.
  • the module 1210 is a wireless communication module, and its operation mode and working principle can be referred to the corresponding description of the wireless communication module 240 in FIG.
  • FIG. 13 is a circuit schematic of a power management module shown in accordance with some embodiments of the present application. As shown in FIG. 13, the module 1310 is a part of the power management module, and its operation mode and working principle can be referred to the corresponding description of the power management module 250 in FIG.
  • modules 1410, 1420, and 1430 are three different sensor devices, the modes of operation and principles of operation, etc., can be found elsewhere herein, for example, FIG. 1, a corresponding description of sensor device 150.
  • the module 1440 is a sensor device, its mode of operation and principle of operation, etc. may be referred to other portions herein, for example, FIG. 1, a corresponding description of the sensor device 150.
  • FIG. 15 is a diagram of a power management module and an adjustment module shown in accordance with some embodiments of the present application. Circuit diagram. As shown in FIG. 15, the module 1530 is a part of the power management module, and its operation mode and working principle can be referred to other parts of the document. For example, FIG. 2, a corresponding description of the power management module 250; 1510 and 1520 are a part of the adjustment module, respectively. The operation mode and working principle and the like can be referred to other parts of the document, for example, FIG. 2, corresponding description of the adjustment module 230.
  • FIG. 16 is a circuit schematic of a processing module shown in accordance with some embodiments of the present application. As shown in FIG. 16, the module 1610 is a part of the processing module, its operation mode and working principle and the like can be referred to other parts of the document, for example, FIG. 2, a corresponding description of the processing module 220.
  • FIG. 17 is a circuit schematic of a power management module shown in accordance with some embodiments of the present application. As shown in FIG. 17, the module 1710 is a part of the power management module. The operation mode and working principle of the module 1710 can be referred to other parts of the document. For example, FIG. 2, a corresponding description of the power management module 250.
  • the present application uses specific words to describe embodiments of the present application.
  • a "one embodiment,” “an embodiment,” and/or “some embodiments” means a feature, structure, or feature associated with at least one embodiment of the present application. Therefore, it should be emphasized and noted that “an embodiment” or “an embodiment” or “an alternative embodiment” that is referred to in this specification two or more times in different positions does not necessarily refer to the same embodiment. . Furthermore, some of the features, structures, or characteristics of one or more embodiments of the present application can be combined as appropriate.
  • aspects of the present application may have several The type or condition of patentability is described and described, including any new and useful combinations of processes, machines, products, or materials, or any new and useful improvements to them. Accordingly, various aspects of the present application can be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.) or by a combination of hardware and software.
  • the above hardware or software may be referred to as a "data block,” “module,” “engine,” “unit,” “component,” or “system.”
  • aspects of the present application may be embodied in a computer product located in one or more computer readable medium(s) including a computer readable program code.
  • a computer readable signal medium may contain a propagated data signal containing a computer program code, for example, on a baseband or as part of a carrier.
  • the propagated signal may have a variety of manifestations, including electromagnetic forms, optical forms, and the like, or a suitable combination.
  • the computer readable signal medium may be any computer readable medium other than a computer readable storage medium that can be communicated, propagated, or transmitted for use by connection to an instruction execution system, apparatus, or device.
  • Program code located on a computer readable signal medium can be propagated through any suitable medium, including a radio, cable, fiber optic cable, radio frequency signal, or similar medium, or a combination of any of the above.
  • the computer program code required for the operation of various parts of the application can be written in any one or more programming languages, including object oriented programming languages such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB.NET, Python. Etc., conventional programming languages such as C, Visual Basic, Fortran2003, Perl, COBOL2002, PHP, ABAP, dynamic programming languages such as Python, Ruby and Groovy, or other programming languages.
  • the program code can run entirely on the user's computer, or run as a stand-alone software package on the user's computer, or partially on the user's computer, partly on a remote computer, or entirely on a remote computer or server.
  • the remote computer can be connected to the user's computer via any network, such as a local area network (LAN) or a wide area network (WAN), or connected to an external computer (eg, via the Internet), or in a cloud computing environment, or Use for services such as Software as a Service (SaaS).
  • LAN local area network
  • WAN wide area network
  • SaaS Software as a Service

Abstract

本披露书涉及一种反馈调节和电源管理技术的智能家居控制系统及方法。在系统和方法实施过程中,首先,通过数据接收模块接收数据信息。其次,通过处理模块分析接收到的数据信息,通过数据信息的分析处理结果,根据不同设备的工作状态调节方式,生成不同的控制信息。再次,通过无线通信模块发射控制信息。然后,通过调节模块分别控制调节对应的设备的工作状态。同时,通过电源管理模块管理系统中的模块和设备的供电。

Description

控制系统 技术领域
本披露书涉及一种控制系统,尤其是涉及一种反馈调节和电源管理技术的智能控制系统及方法。
背景技术
智能家居是在互联网影响之下物联化的体现。智能家居通过物联网技术将家中的各种设备(如音视频设备、照明系统、安防系统、数字影院系统、影音服务器、网络家电等)连接到一起,提供家电控制、照明控制、电话远程控制、室内外遥控、防盗报警、环境监测、暖通控制、红外转发以及可编程定时控制等多种功能和手段。智能家居系统以家居电器及家电设备为主要控制对象,利用综合布线技术、网络通信技术、安全防范技术、自动控制技术、音视频技术将家居生活有关的设施进行高效集成,构建高效的住宅设施与家庭日程事务的控制管理系统,提升家居智能、安全、便利、舒适,并实现环保控制系统平台。与普通家居相比,智能家居不仅具有传统的居住功能,兼备建筑、网络通信、信息家电、设备自动化,提供全方位的信息交互功能。
简述
本申请的一些实施例,提供了一个系统。该系统可以包括一个数据接收模块,一个处理模块,一个调节模块和一个电源管理模块。该数据接收模块可以接收数据。该数据可以与第一设备的运行相关。该处理模块可以处理该数据。 该调节模块可以根据该处理后的数据生成一个控制指令。该控制指令可以调节该第一设备的运行。该电源管理模块可以管理该系统中第一模块或该第一设备的电源。该系统可以进一步包括一个无线通信模块。该无线通信模块可以与第一设备或第二设备进行无线通信。
本申请的一些实施例,提供了一种方法。该方法包括通过一个数据接收模块接收数据,该数据与第一设备的运行相关。该方法进一步包括通过一个处理模块处理该数据。该方法进一步包括通过一个调节模块根据该处理后的数据生成一个控制指令,该控制指令调节该第一设备的运行。该方法进一步包括通过一个电源管理模块管理一个第一模块或该第一设备的电源。该方法可以进一步包括通过一个无线通信模块与第一设备或第二设备进行无线通信。
本申请的一些实施例,提供了一种计算机可读的存储媒介存储可执行指令。该可执行指令使得一个计算机设备执行通过一个数据接收模块接收数据,该数据与第一设备的运行相关。该可执行指令进一步使得一个计算机设备执行通过一个处理模块处理该数据。该可执行指令进一步使得一个计算机设备执行通过一个调节模块根据该处理后的数据生成一个控制指令,该控制指令调节该第一设备的运行。该可执行指令进一步使得一个计算机设备执行通过一个电源管理模块管理一个第一模块或该第一设备的电源。
在一些实施例中,数据接收模块可以接收的数据来自一个传感器。
在一些实施例中,传感器可以包括一个声音传感器、一个温度传感器、一个湿度传感器、一个运动传感器、一个亮度传感器或一个能耗传感器等中的 一个或多个。
在一些实施例中,温度传感器可以测量该系统中第一模块或第一设备的温度。
在一些实施例中,第一模块可以包括处理模块、调节模块、或数据接收模块等。
在一些实施例中,第一设备可以包括加湿器、空调、电风扇、LED灯、水银灯、卤素灯、金卤灯和白炽灯中的一个或多个。
在一些实施例中,电源管理模块可以为第一模块或第一设备提供所需的电压。
在一些实施例中,调节模块可以进一步包括一个功率调节单元。该功率调节单元可以通过调节第一设备的输入功率来改变该第一设备的运行。
在一些实施例中,调节模块可以进一步包括一个其他设备调节单元。该其他设备调节单元可以产生第二控制指令。该第二控制指令可以调节第二设备的工作模式。
在一些实施例中,第二设备包括一个用电器、一个智能门铃、一个防盗设备、一个智能照明设备、一个智能窗帘、一个锅炉控制设备、一个暖气控制设备、一个水箱水位调节设备或一个智能门锁。
本申请的一部分附加特性可以在下面的描述中进行说明。通过对以下描述和相应附图的检查或者对实施例的生产或操作的了解,本申请的一部分附加特性对于 本领域技术人员是明显的。本披露的特性可以通过对以下描述的具体实施例的各种方面的方法、手段和组合的实践或使用得以实现和达到。
附图描述
为了更清楚地说明本发明实施例的技术方案,下面将对实施例描述中所需要使用的附图作简单的介绍。显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域的普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图将本发明应用于其它类似情景。除非从语言环境中显而易见或另做说明,图中相同标号代表相同结构和操作。
图1是根据本发明的一些实施例所示的智能控制系统的一种示例系统配置的示意图;
图2是根据本申请的一些实施例所示的智能控制系统的示意图;
图3是根据本申请的一些实施例所示的智能控制系统的示例性流程图;
图4是根据本申请的一些实施例所示的数据接收模块示意图;
图5A是根据本申请的一些实施例所示的调节模块示意图;
图5B是根据本申请的一些实施例所示的功率调节单元示意图;
图6是根据本申请的一些实施例所示的照明调节单元示意图;
图7是根据本申请的一些实施例所示的电源管理模块示意图;
图8是根据本申请的一些实施例所示的远程设备示意图;
图9A是根据本申请的一些实施例所示的根据收集到的数据生成控制指令的示例性流程图;
图9B是根据本申请的一些实施例所示的功率调节的示例性流程图;
图9C是根据本申请的一些实施例所示的其他设备调节的示例性流程图;
图10是根据本申请的一些实施例所示的电源管理操作的示例性流程图;
图11是根据本申请的一些实施例所示的处理模块的电路示意图;
图12是根据本申请的一些实施例所示的无线通信模块的电路示意图;
图13是根据本申请的一些实施例所示的电源管理模块的电路示意图;
图14A是根据本申请的一些实施例所示的传感器设备的电路示意图;
图14B是根据本申请的一些实施例所示的传感器设备的电路示意图;
图15是根据本申请的一些实施例所示的电源管理模块和调节模块的电路示意图;
图16是根据本申请的一些实施例所示的处理模块的电路示意图;以及
图17是根据本申请的一些实施例所示的电源管理模块的电路示意图。
具体描述
如本说明书和权利要求书中所示,除非上下文明确提示例外情形,“一”、“一个”、“一种”和/或“该”等词并非特指单数,也可包括复数。术语“包括”与“包含”仅提示包括已明确标识的步骤和元素,而这些步骤和元素不构成一个排它性的罗列,方法或者设备也可能包含其它的步骤或元素。术语“基于”是“至少部分地基于”。术语“一个实施例”表示“至少一个实施例”;术语“另一实施例”表示“至少一个另外的实施例”。其他术语的相关定义将在下文描述中给出。
虽然本申请对根据本申请的实施例的系统中的某些模块做出了各种引用,然而,任何数量的不同模块可以被使用并运行在客户端和/或服务器上。所述模块仅是说明性的,并且所述系统和方法的不同方面可以使用不同模块。
本申请中使用了流程图用来说明根据本申请的实施例的系统所执行的操作。应当理解的是,前面或下面操作不一定按照顺序来精确地执行。相反,可以按照倒序或同时处理各种步骤。同时,也可以将其他操作添加到这些过程中,或从这些过程移除某一步或数步操作。
本说明书所述的方法包括接收一个数据信息,分析接收到的数据信息,并通过数据信息的分析处理结果,生成控制信息,控制调节不同设备的工作状态。在一些实施例中,本说明书所述的方法也包括根据不同设备的工作状态调节方式,生成不同的控制信息,分别控制调节对应的设备的工作状态。在一些实施例中,本说明书涉及一种智能控制系统。该智能控制系统可以包括数据接收模块、处理模块、调节模块、无线通信模块和电源管理模块。
本申请中描述的系统和方法与2015年4月3日递交的名称为“环境控制系统”的国际专利申请No.PCT/CN2015/075923,2015年5月29日递交的名称为“环境控制系统”的国际专利申请No.PCT/CN2015/080160以及2016年7月22日递交的 名称为“安全系统及方法”的国际专利申请No.PCT/CN2016/090975中所描述的系统和方法相关,这些专利申请通过引用结合到本文中。
图1是根据本发明的一些实施例所示的智能控制系统的一种示例系统配置的示意图。系统配置100可以包括一个智能管理系统110、一个或多个其他设备120、一个或多个照明设备130、一个或多个远程设备140以及一个或多个传感器设备。
智能控制系统110可以是一个与各设备相连的系统。在一些实施例中,智能控制系统110与各设备的连接方式可以是有线或无线的。在一些实施例中,智能控制系统110与各设备的连接可以是双向的。在一些实施例中,智能控制系统110可以接收来自传感器设备150采集的传感器数据。所述传感器数据可以包括声音数据、温度数据、湿度数据、运动数据、亮度数据、能耗数据中的一种或多种。在一些实施例中,智能控制系统110可以对所接收到的所述传感器数据进行分析并检测其中的异常数据。进一步地,智能控制系统110可以控制存在异常数据的传感器进行多次采集或者调节所述存在异常数据的传感器。在一些实施例中,智能控制系统110可以生成一个或多个控制信息,所述控制信息可以基于采集到的传感器数据。在一些实施例中,所述控制信息可以对照明设备130以及远程设备140的工作状态进行调节。在一些实施例中,智能控制系统可以是一个集成的芯片或电路,如处理器等。在一些实施例中,智能控制系统可以由多个子电路组成。
照明设备130可以是任何将电能转化为光能的设备。在一些实施例中,照明设备130可以包括但不限于LED灯、水银灯、卤素灯、金卤灯和白炽灯中等中的一个或多个。在一些实施例中,所述照明设备130的工作状态可以通过智能控制系统进行调节。所述工作状态的调节可以包括但不仅限于亮度调节、开关调 节、灯光颜色调节(例如,具备颜色改变特性的LED变色灯)、照明时长调节、闪光频率调节等中的一种或几种组合。在一些实施例中,照明设备的亮度和开关的调节可以基于所述照明设备的输入功率。进一步地,所述照明设备的输入功率可以被智能控制系统110调节。
其他设备120可以是任何用电设备,如空调、电视、冰箱等。在一些实施例中,其他设备120的工作状态可以通过智能控制系统110进行调节。一些实施例中,所述其他设备120的工作状态的调节不通过直接调节他们的输入功率。取而代之的,其他设备120的工作状态可以通过接收智能控制系统110的控制信号进行调节。根据其他设备120的不同的工作特性,调节方法可以不同。在一些实施例中,智能控制系统110可以通过预设的与其他设备120连接的线路或模块对所述其他设备120进行调节。在一些实施例中,智能控制系统110可以通过无线信号,如红外线信号、微波信号、无线电波信号等对所述其他设备进行调节。
远程设备140可以是任何具有远程通信功能的设备。在一些实施例中,远程设备140可以包括用电器、智能门铃、防盗设备、智能照明、智能窗帘中的一个或多个。在一些实施例中,远程设备140可以与智能控制系统110进行双向通信。例如,远程设备可以接收智能控制系统110的控制信息,进行相应的操作后将结果反馈给智能控制系统110。在一些实施例中,远程设备140也可以在任何时候主动发送信息给智能控制系统110。
传感器设备150可以是任何采集原始数据的设备。在一些实施例中,传感器设备150可以包括但不限于声音传感器、温度传感器、湿度传感器、运动传感器、亮度传感器和能耗传感器中的一个或多个。在一些实施例中,传感器 设备150可以将采集到的数据传送给所述智能控制系统110。在一些实施例中,智能控制系统110可以控制所述传感器设备150的采集。在一些实施例中,传感器设备150可以在固定的时间间隔进行采集并将采集到的数据发送给智能控制系统110。在一些实施例中,所述传感器设备150可以包含一个缓存模块,所述缓存模块可以存储所述采集到的数据并在一定时间或一定条件满足的情况下将存储到的数据发送给智能控制系统110。进一步地,所述传感器设备150可以包含一个预处理模块,所述预处理模块可以对采集到的数据进行预处理。在一些实施例中,传感器设备150可以只将预处理后的数据发送给智能控制系统。
在一些实施例中,智能控制系统110、其他设备120、照明设备130、远程设备140、传感器设备150等设备和/或各设备中的模块可能需要在同一时段进行通信。与本申请同日递交的名称为“无线抗干扰收发系统”的国际专利申请No./(律师案卷编号:P1B165273PCT)中公开了一种可以减少通信时系统或模块间相互干扰的方法,该专利申请通过引用结合到本文中。
以上的描述仅仅是本发明的具体实施例,不应被视为是唯一的实施例。显然,对于本领域的专业人员来说,在了解本发明内容和原理后,都可能在不背离本发明原理、结构的情况下,进行形式和细节上的各种修正和改变。例如,传感器设备150可以被包含在照明设备130、其他设备120、远程设备140中,从而这些设备可以在正常工作的时候同时将所述这些设备的数据或者其他数据检测并发送给智能控制系统110。例如,其他设备120与远程设备140可以是同一个或同一类的设备,比如远程设备140可以是一些包含远程通信模块的用电设备,而其他设备120可以接收智能控制系统110的远程控制。这些修正和改变仍在本发明的权利要求保护范围之内。
图2是根据本申请的一些实施例所示的智能控制系统的示意图。智能控制系统110可以包括一个数据接收模块210、一个处理模块220、一个调节模块230、一个无线通信模块240、一个电源管理模块250。
数据接收模块210可以接收外部设备和所述系统中其他模块的数据。在一些实施例中,数据接收模块210可以通过有线的或者无线的方式接收所述数据。在一些实施例中,数据接收模块210可以接收所述传感器设备150所采集的传感器数据。所述传感器数据可以包括声音数据、温度数据、湿度数据、运动数据、亮度数据、能耗数据中的一种或多种。在一些实施例中,数据接收模块210可以接收来自外部设备的反馈信息,并将所述反馈信息发送给处理模块220。所述处理模块220可以对数据进行分析并判断是否有异常数据。在一些实施例中,数据接收模块210可以接收来自用户输入的数据。例如,用户可以通过一个操作界面,对所述系统进行调节。
处理模块220可以是一个数据分析处理的控制核心模块。在一些实施例中,处理模块220可以与系统中其他模块互相连接。在一些实施例中,处理模块220与系统中其他模块的连接方式可以是有线的或无线的。在一些实施例中,处理模块220可以对来自数据接收模块210的数据进行分析处理,并检测其中的异常数据。在一些实施例中,处理模块220可以控制调节出现异常数据的设备。在一些实施例中,处理模块220可以生成一个或多个控制信息(亦可称作控制指令)。所述控制信息可以基于数据接收模块210所接收的数据。在一些实施例中,处理模块220可以通过无线通信模块240,对远程设备140进行控制。在一些实施例中,处理模块220可以将数据信息显示在用户操作界面上。在一些实施例中,处理模块220可以包括一个或多个相互连接的处理单元。其 中,所述一个或多个处理单元,可以与本系统中一部分或全部模块或设备进行通信或连接。
调节模块230可以调节控制设备的工作状态。所述调节模块230可以包括一个功率调节单元和一个其他设备调节单元。在一些实施例中,所述调节模块230可以与所述照明设备130和所述其他设备120相连接。在一些实施例中,调节模块230与照明设备130和其他设备120的连接方式可以是有线的或者无线的。在一些实施例中,调节模块230可以通过调节设备的功率大小,来调节设备的工作状态。例如,通过调节所述照明设备的功率大小,来调节照明亮度。在一些实施例中,调节模块230可以不通过直接调节其他设备的输入功率调节其他设备的工作状态。根据其他设备120的不同的工作特性,调节方法可以不同。
无线通信模块240可以与所述远程设备140进行双向通信。所述远程设备140可以包括用电器、智能门铃、防盗设备、智能照明、智能窗帘中的一个或多个。在一些实施例中,无线通信模块240可以接收来自处理模块220的控制信息,并发送给远程设备140,从而控制和调节所述远程设备140的工作状态。
电源管理模块250可以控制智能控制系统110中其他模块以及系统外设备的供电。在一些实施例中,电源管理模块250可以包含一个直流交流转换单元。所述直流交流转换单元可以将市电交流电转换成一个或多个直流电。在一些实施例中,电源管理模块250可以包含一个变压单元。所述变压单元可以通过降压或者升压处理,得到不同的电压。在一些实施例中,电源管理模块250可以根据不同设备或模块对电流的类型或者电压的大小要求,分配所需的电压 和电流。
图3是根据本申请的一些实施例所示的智能控制系统的示例性流程图。在步骤302中,智能控制系统可以接收一个或多个数据。所述一个或多个数据可以包括外部设备的数据和所述系统中其他模块的数据。在一些实施例中,所述外部设备的数据可以包括所述传感器采集的传感器数据。所述传感器数据可以包括声音数据、温度数据、湿度数据、运动数据、亮度数据、能耗数据中的一种或多种。在一些实施例中,所述系统中其他模块的数据可以包括其他模块的运行时的工作参数,例如,实时的电流、电压和功率大小;各个模块工作时的电路的温度。在一些实施例中,所述一个或多个数据也可以包括设备的反馈信息。
在步骤304中,智能控制系统可以处理步骤302中接收的数据信息。在一些实施例中,智能控制系统可以根据信息处理的结果生成控制指令。所述控制指令可以包括功率调节指令、远程设备调节指令和其他设备调节指令。例如,所述控制指令可以通过控制空调的开关以及调节需要的温度。例如,所述控制指令可以调节照明设备的亮度和开关。
在步骤306中,智能控制系统可以将步骤304中的所述控制指令通过无线通信方式发送给远程设备。在一些实施例中,所述无线通信方式的技术可以包括但不仅限于Zigbee技术、蓝牙技术、Z-Wave技术、Wi-Fi技术、EnOcean技术中的一种或多种。
在步骤308中,智能控制系统可以将步骤304中的所述控制指令发送给照明设备和其他设备从而调节所述设备的工作状态。在一些实施例中,调节方法可以包括功率调节和其他调节方式。例如,通过调节所述照明设备的功率大小,来调节照明亮度。又例如,通过调节暖气进气口的开口大小,来调节暖气 的进气量,从而调节室内温度。根据设备的不同的工作特性,调节方法可以不同。
图4是根据本申请的一些实施例所示的数据接收模块示意图。数据接收模块210可以包括一个数据接收单元410、一个数据分类单元420、一个预处理单元430等。
数据接收单元410可以接收来自所述智能控制系统110中其他模块或者外部设备(例如,传感器设备150、远程设备140、照明设备130、其他设备120等)的数据。在一些实施例中,所述接收的数据可以包括声音数据、温度数据、湿度数据、运动数据、亮度数据、能耗数据、用户输入数据等。所述温度数据可以包括环境温度或系统中一个或多个设备的温度等。所述湿度数据可以包括环境湿度等。运动数据可以包括环境中物体或人体运动的信息等。所述声音数据可以包括环境噪音、异常声音、音响设备自身的声音等。所述亮度数据可以包括环境的亮度大小、光照强度、紫外线强度、光源位置等。所述能耗数据可以包括但不仅限于系统中的总能耗数据、每个设备或者模块的能耗数据、家庭的总能耗数据等。所述用户输入数据可以包括用户设定的温度、湿度、设备定时、照明亮度、系统工作模式等。在一些实施例中,用户可以根据习惯或者个人偏好,通过一个操作界面输入设定参数数据并被所述数据接收单元所接收。所述操作界面可以位于系统内,也可以位于系统外。所述用户习惯或者个人偏好可以包括用户适宜室内温度、睡眠时长、正常休息时段、适宜热水温度、上下班时段等中的一种或多种。
数据分类单元420可以将数据根据各自的类型进行分类。在一些实施例中,数据分类单元420可以对数据接收单元410所接收到的数据进行分类。 在一些实施例中,所述接收到的数据可以各自包含一个数据标签;数据分类单元420可以根据所述数据标签对所述接收到的数据进行分类。所述数据标签可以指一个或多个用于区分和表明数据类型的符号或标志。在一些实施例中,所述数据标签可以是数据来源(如传感器设备150)提供的。在一些实施例中,数据分类单元420也可以根据数据的其他特征(如数据的范围、长度、数量等)对所述接收到的数据进行分类。
预处理单元430可以对数据进行预处理。在一些实施例中,所述数据的预处理可以包括对数据进行降噪处理。所述降噪处理可以包括通过滤波算法(如均值滤波算法、中值滤波算法、wiener滤波算法等)将数据中的噪声去除。在一些实施例中,对于噪音过大或者难以通过所述降噪处理去除或降低其噪音的数据,可以将整个数据删除并重新接收数据。在一些实施例中,所述数据的预处理可以包括将数据分类单元420所分类后的数据根据数据类型或数据来源进行聚类。进一步地,所述聚类后的数据可以被一同发送到处理模块220进行后续处理。在一些实施例中,所述预处理单元430可以对不同类型的数据进行不同的预处理。例如,对于不同的数据类型可以使用不同的降噪处理等。
在一些实施例中,数据接收模块210可以包括多个数据接收单元。所述多个数据接收单元分别接收特定类型的数据并各自对所接收的特定类型的数据进行预处理。
在一些实施例中,经过数据分类单元420分类后的数据可以不经过预处理单元430而直接发送到处理模块220进行后续处理。
在一些实施例中,处理模块220中的一些操作可以在预处理单元430中实施。例如,预处理单元可以对所述数据中的异常数据进行初步识别,并反馈 调节产生所述异常数据的模块或设备。所述异常数据可以指数据范围超过正常范围或用户预设范围的数据。在一些实施例中,只有初步识别为正常的数据会被进一步地发送至处理模块220进行后续处理,从而提高处理和储存效率。
图5A是根据本申请的一些实施例所示的调节模块示意图。调节模块230可以包括一个功率调节单元510和一个其他设备调节单元520。功率调节单元510可以与一个或多个设备相连并通过调节所述设备的输入功率来改变所述设备的运行。例如,功率调节单元510可以与一个灯具相连,通过改变所述灯具的输入功率可以改变灯具的亮度。其他设备调节单元520可以与一个或多个设备相连并产生一个控制指令,所述控制指令可以调节所述设备的工作模式。
图5B是根据本申请的一些实施例所示的功率调节单元示意图。功率调节单元510可以包括一个或多个照明调节子单元530。进一步地,照明调节子单元530可以分别与一个照明设备130相连。如图5B所示,功率调节单元510可以包括多个照明调节子单元530-1、530-2、530-3…530-N,而所述照明调节子单元530-1、530-2、530-3…530-N可以分别与多个相对应的照明设备130-1、130-2、130-3…130-N相连。
在一些实施例中,处理模块220可以发出一个或多个控制信息从而调节照明调节子单元530的输出功率。在一些实施例中,照明调节子单元530的输出功率与照明设备130的输入功率相对应。在一些实施例中,所述照明设备130的工作状态(如亮度、颜色等)与其输入功率有关。进一步地,通过调节所述照明调节子单元530的输出功率,可以调节所述照明设备的输入功率从而调节所述照明设备的工作状态。在一些实施例中,所述智能控制系统110可以检测所述照明设备的实际功率大小,并判断其是否满足一个预设的功率要求。若 所述照明设备的实际功率不满足预设的功率要求,可以反馈给功率调节单元510,从而进一步调节功率大小,直到照明设备的实际功率满足所述预设的功率要求。
在一些实施例中,所述智能控制系统110可以通过数据接收模块210接收的已采集的传感器数据信息来判别不同的时间段及用户的活动状态。照明设备可以调节到相应的工作状态。在一些实施例中,智能控制系统110可以通过计时器确定一个或多个时间段。所述时间段包括但不限于午夜、凌晨、清早、黄昏、夜晚、深夜、以及一个或多个具体的时间点和时间段等。在一些实施例中,所述传感器数据可以包括声音、光、重量、位置、温度、湿度、压强、电流、速度和加速度、图像、触感、瞳孔、指纹等其中一种或多种。例如,传感器数据可以包括早晨太阳光强的变化、季节变化和天气变化等。在一些实施例中,数据接收模块可以接收用户设置的数据如正常睡觉和起床时间的时间。在一些实施例中,处理模块220可以根据接收的数据生成一个或多个深层次数据,比如用户的情绪和磁场、用户的睡眠深度等。
在一些实施例中,所述智能控制系统110判别用户的活动状态的方法可以包括将采集到的信息与一定的参数(例如一个参照值、参照区间、阈值、预设值或预测值)进行对比。所述参数的来源可以由用户设定,环境控制系统110的预设值,或环境控制系统110根据机器训练习所得等。不同来源的参数可以有不同的优先级。在本文中,当两个不同优先级的参数同时存在时,系统110使用优先级高的参数。例如,用户输入的参数的优先级高于系统机器训练所得的参数,而机器训练所得的参与优先级高于系统预设值的优先级。进一步地,如果采集的信息满足某项参数要求(例如符合某个参照值,进入某个参照区间,超过某个阈值/预设值/预测值等),处理模块220可以判断用户处于相应的活动状态。 所述活动状态包括睡眠(如浅度睡眠或深度睡眠)、低强度活动(如阅读,走动,看电视等)或高强度活动(如锻炼,健身,聚会活动等)。
在处理模块220做出用户活动状态的判断之后,调节模块230可以将所述照明设备130调节至相应的工作状态。所述照明设备的工作状态可以包括渐醒模式、睡眠模式等。在一些实施例中,所述渐醒模式和睡眠模式的调节可以包括使用符合用户习惯的渐醒模式算法或睡眠模式算法。该渐醒模式算法可以包括逐渐调亮所述照明设备130的亮度,使得用户以自然的方式逐渐苏醒。例如,该渐醒模式算法可以包括依据当时的季节和(或)天气,将所述照明设备的亮度从0%逐渐升高到100%(所述0%为照明设备的最低亮度级而100%为照明设备的最高亮度级)。在一段时间后,可以使所述照明设备逐渐恢复到正常的室内亮度。在一些实施例中,灯光渐亮的事件和(或)室内灯光的亮度也可由用户自行设定。例如,所述睡眠模式算法可以通过逐渐调暗室内照明设备的光线强度,使得用户逐渐减低活动强度,为就寝做准备。在一些实施例中,照明设备的光照强度可以从当前的光强逐步降低到0%,然后在一个缓冲时间后完全关掉。
图6是根据本申请的一些实施例所示的照明调节子单元示意图。照明调节子单元530可以包括一个过零检测子单元610和一个功率调节子单元620。过零检测子单元610可以检测电路中的过零中断。所述过零中断可以是在交流电系统中,电信号从-0变为+0或者是从+0变为-0,并发出中断信号的过程。在一些实施例中,电信号每个周期中有从-0变为+0和从+0变为-0的过零中断各一次。通过检测电信号中过零中断的次数和时间,可以检测出电信号的频率。
功率调节子单元620可以基于过零检测子单元610的检测结果对所述照明调节子单元530的输出功率进行调节,以此实现对照明设备130的工作状 态(如亮度等)的控制。其中,功率调节子单元620中亮度的调节方法可以包括切相调光法、模拟或数字调光法、限流调光法、电感镇流器分功率档位调光法、可变电阻调光法、可变电阻调光法、脉冲占空比调光法、脉冲调频调光法、调节高频逆变器供电电压调光法、脉冲调相调光法、正弦波调光法、改变串联电感值的调光法等一种或多种。与本申请同日递交的名称为“SYSTEM AND METHOD FOR CONTROLLING APPLIANCES”的国际专利申请No./(律师案卷编号:P1B165270PCT)中公开了亮度的调节方法,该专利申请通过引用结合到本文中。
图7是根据本申请的一些实施例所示的电源管理模块示意图。电源管理模块250可以包括一个变压单元710,一个交流直流转换单元720,一个电磁干扰保护单元730和一个电压分配单元740。
变压单元710可以将输入电信号进行降压或者升压处理,使得处理后的不同电压满足不同设备的电压要求。在一些实施例中,变压单元710可以对输入的电信号进行多次降压或升压以满足不同设备的电压要求。例如,变压单元710可以先将一个220V/110V的输入电信号转化成7V。再将7V转化为5V和3.3V,从而同时满足电压要求为3.3V、5V、7V和220V/110V的设备的用电需求。
交流直流转换单元720可以将输入电信号的形式根据不同设备的需要,转换成所需的直流电或者交流电。在一些实施例中,交流直流转换单元720可以包括通过逆变器等将一个直流输入电信号转换成一个交流电信号。在一些实施例中,交流直流转换单元720可以包括通过整流器等将一个交流输入电信号转换成一个直流电信号。
电磁干扰单元730可以减少电磁波与电子元件作用后而产生的干扰作用。电压分配单元740可以将转换后和变压后的电压分配给各个模块或者设备,使得所有设备和模块都正常工作。在一些实施例中,电压分配单元740可以包含一个检测电路。所述检测电路可以测量智能控制系统110中其他模块、照明设备130、其他设备120、远程设备140和传感器设备150等的电压并进行校正。
图8是根据本申请的一些实施例所示的远程设备示意图。远程设备140可以包括但不限于用电器810、智能控制照明820、智能窗帘830、防盗设备840和智能门铃850等。在一些实施例中,远程设备140可以与智能控制系统110(例如,通过无线通信模块240)进行无线通信。在一些实施例中,调节模块230可以通过无线通信模块240对一个远程设备140进行控制。例如,数据接收模块210可以接收到一个或多个传感器数据。所述传感器数据在处理模块220中被分析后可以生成一个控制指令。所述控制指令可以传送到远程设备140并对远程设备140进行相应控制。例如,当数据接收模块210接收到傍晚室内亮度降低的相关数据时,智能控制系统可以控制智能窗帘830的打开;中午下午时段室内亮度太大时,智能控制系统可以控制智能窗帘830的关闭。
在一些实施例中,所述智能控制系统110可以通过无线通信模块240与远程设备140进行通信从而实现家庭控制的功能。例如,通过与电灯、插座的通信实现电灯亮度控制、插座的开关控制;通过与智能门锁的通信实现控制门锁及自动设防/解防的功能;通过与家庭中的红外/蓝牙中继模块进行通信,实现具有红外/蓝牙遥控功能的电器控制功能;通过与公共电话线连接,实现远程电话控制的功能;通过与家庭内部电子设备(例如平板电脑、手机、电脑等)连 接,实现通过该电子设备对整个系统的控制的功能;通过分别与家庭内部电话和与公共交换电话网相连,实现用户家庭在内部任意位置(利用无线电话分机)控制和远程控制,例如当用户在外,发生室内盗窃,触发警报系统时,可以将警报信息发送到用户手机端、保安公司、当地警察局等。
图9A是根据本申请的一些实施例所示的根据收集到的数据生成控制指令的示例性流程图。步骤902可以包括采集一个或多个数据信息。所述一个或多个数据信息可以包括外部设备的数据信息和所述系统中其他模块的数据信息。在一些实施例中,所述外部设备的数据可以包括通过传感器设备150采集的传感器数据。所述传感器数据可以包括声音数据、温度数据、湿度数据、运动数据、亮度数据、能耗数据中的一种或多种。在一些实施例中,所述系统中其他模块的数据可以包括其他模块的运行时的工作参数,例如,电流、电压和功率大小,各个模块工作时的温度等。在一些实施例中,所述一个或多个数据也可以包括设备或模块的反馈信息。
步骤904可以包括对所述采集的数据信息进行分析处理。在一些实施例中,所述数据信息分析处理的方法可以包括对数据进行统计、计算、筛选、排序、聚类等。例如,根据电流的数据和电压的数据,得到功率的数据。在一些实施例中,所述数据信息分析处理的方法还可以包括对信息进行去噪、平滑等处理。
步骤906可以包括根据分析后的数据判断是否有异常数据出现。在一些实施例中,所述判断内容可以包括数据是否在正常范围内、数据是否满足用户设定要求、数据是否存在遗漏等。例如,如果所测的环境温度高于系统的正常工作范围时的温度,那么温度数据会出现过高的警示(出现异常),需要进行相 应的调整。若存在异常数据,则进行步骤908。若数据全部正常,则进行步骤910。
步骤908可以包括调节一个或多个出现异常数据的设备。在一些实施例中,可以通过反馈调节异常设备,直到检测的数据在合理范围内。例如,可以实时监测系统电路的工作温度,温度过高或者过低时,可以实时调整相应设备。例如,可以降低高功率设备的功率或者通过风扇的散热系统等,将温度调整在一个电路正常工作的范围内。
步骤910可以包括根据所述分析处理的结果输出一个控制指令。在一些实施例中,所述控制指令可以包括功率调节指令、远程设备调节指令和其他设备调节指令等。在一些实施例中,所述控制指令可以通过有线或者无线的方式发送给调节设备。例如,通过有线或无线方式发送给空调,控制空调的开关、送风时间或强度等;通过有线或无线的方式输入给照明设备,调节照明设备的开关、亮度等。
图9B是根据本申请的一些实施例所示的功率调节的示例性流程图。步骤912可以包括根据所述控制指令调节设备功率。在一些实施例中,所述调节设备功率的方法可以包括控制输入电流额方法、控制输入电压的方法、相位切割法等中的一种或多种。在一些实施例中,所述功率可调节设备可以包括照明灯、电风扇、空调、加湿器等。
步骤914可以包括接收设备的实际功率。在一些实施例中,可以通过能耗传感器直接检测实际功率。在一些实施例中,可以通过电流电压传感器检测电压和/或电流再通过计算的方法获得实时功率的大小。参见与本申请同日提交的名称为“电功率控制系统和方法”的国际专利申请No./(律师案卷编号:P1B165272PCT)中描述的检测电器功率的方法,该专利申请通过引用整 体的结合到本文中。在一些实施例中,设备可以自身包含一个功率检测模块,所述功率检测模块可以检测所述设备的功率并在步骤914中被接收。在一些实施例中,所述实际功率可以包括整个设备工作时的实际功率和/或设备中一个或多个部件的实际功率。
步骤916可以判断所述检测的实际功率的大小是否满足要求。在一些实施例中,所述实际功率过大或者过小都会对设备的工作状态以及使用寿命造成影响。例如,照明灯的功率过大,亮度会超过正常工作的范围,工作时间过长会导致灯泡热量累积,易引起灯泡损坏的现象。若所述实际功率不满足要求,则返回步骤912,重新进行功率的调整;若所述实际功率满足要求,可以在步骤918中对所述设备输出所述实际功率。
图9C是根据本申请的一些实施例所示的其他设备调节的示例性流程图。步骤920可以包括根据所述调节指令调节其他设备的工作状态。所述其他设备可以包括不做功率控制的设备,而是开关控制或工作模式控制的设备。例如,锅炉控制设备、暖气控制设备、水箱水位调节设备、智能门锁、智能窗帘等。
步骤922可以包括接收设备的实际工作参数。在一些实施例中,可以通过传感器设备150接收设备实际工作参数,例如,通过不同传感器(温度传感器、湿度传感器、声音传感器、亮度传感器、能耗传感器等)接收设备工作的实际参数。在一些实施例中,设备实际工作参数可包括设备本身的参数和工作环境内的参数。
步骤924可以判断所述接收到的设备工作的实际参数是否满足要求。在一些实施例中,所述设备工作的实际参数若出现异常,会影响设备的正常工作,或者会对用户的体验造成影响,需要在步骤912中重新进行调节。例如,通 过冬天暖气的进气量的调节,可以控制室内温度在16-24摄氏度,当温度过高或者过低时,都会对用户产生较差的体验。通过室内温度传感器接收的温度数据,可以调节暖气的进气量阀门,减小或者增大暖气进气量以提高或者降低室内温度,保持室温在16-24摄氏度之间。在一些实施例中,所述设备工作的实际参数可以包括接收环境内是否有运动的物体或人体的数据。例如,当运动传感器接收到环境内没有人体活动的数据,可以控制关闭照明设备或者空调等。当运动传感器检测到特定时间段内出现人体异常活动时,可以控制开启防盗设备(例如防盗门铃、报警器等)。若设备实际工作参数全部正常,可以在步骤926中维持所述设备工作状态。
图10是根据本申请的一些实施例所示的电源管理模块的示例性流程图。步骤1002可以包括接收一个输入信号。所述输入信号可以是一个来自家用电网的交流信号。进一步地,所述输入信号的电压是220V/110V、频率可以是50HZ。在一些实施例中,所述输入信号的波形可以是直流波、正弦波、方波、三角波、其他波形等。
步骤1004可以包括将输入信号转换成一个第一信号。在一些实施例中,所述第一信号可以是一个直流信号。进一步地,步骤1004可以包括将输入的交流信号转换成一个直流信号。在一些实施例中,所述的转换方法可以包括但不限于整流、过滤等。在一些实施例中,所述转换可以通过交流直流转换单元720来实现。
步骤1006可以包括根据各设备的用电要求,生成一个或多个第二信号。所述各设备可以包括智能控制系统100中的模块或单元以及系统外的设备等。在一些实施例中,所述各设备的用电要求包含电压、电流类型和功率的要 求。所述生成一个或多个第二信号可以通过变压单元710实现。
步骤1008可以判断第二信号与各设备的用电要求是否相匹配。若不匹配,则返回步骤1006,对所述第二信号进行调节或者重新生成。若匹配,可以在步骤1010中将一个或多个第二信号分配给对应的设备。所述第二信号的分配可以通过所述电压分配单元740来实现。
图11是根据本申请的一些实施例所示的处理模块的电路示意图。如图11所示,模块1110是一部分处理模块,其运行模式和工作原理等可以参见图2中对处理模块220的相应描述。
图12是根据本申请的一些实施例所示的无线通信模块的电路示意图。如图12所示,模块1210是一个无线通信模块,其运行模式和工作原理等可以参见图2中对无线通信模块240的相应描述。
图13是根据本申请的一些实施例所示的电源管理模块的电路示意图。如图13所示,模块1310是一部分电源管理模块,其运行模式和工作原理等可以参见图2中对电源管理模块250的相应描述。
图14A是根据本申请的一些实施例所示的传感器设备的电路示意图。如图14A所示,模块1410、1420和1430是三个不同传感器设备,其运行模式和工作原理等可以参见本文其他部分,例如,图1,对传感器设备150的相应描述。
图14B是根据本申请的一些实施例所示的传感器设备的电路示意图。如图14B所示,模块1440是一个传感器设备,其运行模式和工作原理等可以参见本文其他部分,例如,图1,对传感器设备150的相应描述。
图15是根据本申请的一些实施例所示的电源管理模块和调节模块的 电路示意图。如图15所示,模块1530是一部分电源管理模块,其运行模式和工作原理等可以参见本文其他部分,例如,图2,对电源管理模块250的相应描述;1510和1520分别是一部分调节模块,其运行模式和工作原理等可以参见本文其他部分,例如,图2,对调节模块230的相应描述。
图16是根据本申请的一些实施例所示的处理模块的电路示意图。如图16所示,模块1610是一部分处理模块,其运行模式和工作原理等可以参见本文其他部分,例如,图2,对处理模块220的相应描述。
图17是根据本申请的一些实施例所示的电源管理模块的电路示意图。如图17所示,模块1710是一部分电源管理模块,其运行模式和工作原理等可以参见本文其他部分,例如,图2,对电源管理模块250的相应描述。
上文已对基本概念做了描述,显然,对于本领域技术人员来说,上述发明披露仅仅作为示例,而并不构成对本申请的限定。虽然此处并没有明确说明,本领域技术人员可能会对本申请进行各种修改、改进和修正。该类修改、改进和修正在本申请中被建议,所以该类修改、改进、修正仍属于本申请示范实施例的精神和范围。
同时,本申请使用了特定词语来描述本申请的实施例。如“一个实施例”、“一实施例”、和/或“一些实施例”意指与本申请至少一个实施例相关的某一特征、结构或特点。因此,应强调并注意的是,本说明书中在不同位置两次或多次提及的“一实施例”或“一个实施例”或“一替代性实施例”并不一定是指同一实施例。此外,本申请的一个或多个实施例中的某些特征、结构或特点可以进行适当的组合。
此外,本领域技术人员可以理解,本申请的各方面可以通过若干具有 可专利性的种类或情况进行说明和描述,包括任何新的和有用的工序、机器、产品或物质的组合,或对他们的任何新的和有用的改进。相应地,本申请的各个方面可以完全由硬件执行、可以完全由软件(包括固件、常驻软件、微码等)执行、也可以由硬件和软件组合执行。以上硬件或软件均可被称为“数据块”、“模块”、“引擎”、“单元”、“组件”或“系统”。此外,本申请的各方面可能表现为位于一个或多个计算机可读介质中的计算机产品,该产品包括计算机可读程序编码。
计算机可读信号介质可能包含一个内含有计算机程序编码的传播数据信号,例如在基带上或作为载波的一部分。该传播信号可能有多种表现形式,包括电磁形式、光形式等等、或合适的组合形式。计算机可读信号介质可以是除计算机可读存储介质之外的任何计算机可读介质,该介质可以通过连接至一个指令执行系统、装置或设备以实现通讯、传播或传输供使用的程序。位于计算机可读信号介质上的程序编码可以通过任何合适的介质进行传播,包括无线电、电缆、光纤电缆、射频信号、或类似介质、或任何上述介质的组合。
本申请各部分操作所需的计算机程序编码可以用任意一种或多种程序语言编写,包括面向对象编程语言如Java、Scala、Smalltalk、Eiffel、JADE、Emerald、C++、C#、VB.NET、Python等,常规程序化编程语言如C语言、Visual Basic、Fortran2003、Perl、COBOL2002、PHP、ABAP,动态编程语言如Python、Ruby和Groovy,或其他编程语言等。该程序编码可以完全在用户计算机上运行、或作为独立的软件包在用户计算机上运行、或部分在用户计算机上运行部分在远程计算机运行、或完全在远程计算机或服务器上运行。在后种情况下,远程计算机可以通过任何网络形式与用户计算机连接,比如局域网(LAN)或广域网(WAN),或连接至外部计算机(例如通过因特网),或在云计算环境中,或作 为服务使用如软件即服务(SaaS)。
此外,除非权利要求中明确说明,本申请所述处理元素和序列的顺序、数字字母的使用、或其他名称的使用,并非用于限定本申请流程和方法的顺序。尽管上述披露中通过各种示例讨论了一些目前认为有用的发明实施例,但应当理解的是,该类细节仅起到说明的目的,附加的权利要求并不仅限于披露的实施例,相反,权利要求旨在覆盖所有符合本申请实施例实质和范围的修正和等价组合。例如,虽然以上所描述的系统组件可以通过硬件设备实现,但是也可以只通过软件的解决方案得以实现,如在现有的服务器或移动设备上安装所描述的系统。
同理,应当注意的是,为了简化本申请披露的表述,从而帮助对一个或多个发明实施例的理解,前文对本申请实施例的描述中,有时会将多种特征归并至一个实施例、附图或对其的描述中。但是,这种披露方法并不意味着本申请对象所需要的特征比权利要求中提及的特征多。实际上,实施例的特征要少于上述披露的单个实施例的全部特征。
一些实施例中使用了描述成分、属性数量的数字,应当理解的是,此类用于实施例描述的数字,在一些示例中使用了修饰词“大约”、“近似”或“大体上”来修饰。除非另外说明,“大约”、“近似”或“大体上”表明所述数字允许有±明所述的变化。相应地,在一些实施例中,说明书和权利要求中使用的数值参数均为近似值,该近似值根据个别实施例所需特点可以发生改变。在一些实施例中,数值参数应考虑规定的有效数位并采用一般位数保留的方法。尽管本申请一些实施例中用于确认其范围广度的数值域和参数为近似值,在具体实施例中,此类数值的设定在可行范围内尽可能精确。
针对本申请引用的每个专利、专利申请、专利申请公开物和其他材料,如文章、书籍、说明书、出版物、文档等,特此将其全部内容并入本申请作为参考。与本申请内容不一致或产生冲突的申请历史文件除外,对本申请权利要求最广范围有限制的文件(当前或之后附加于本申请中的)也除外。需要说明的是,如果本申请附属材料中的描述、定义、和/或术语的使用与本申请所述内容有不一致或冲突的地方,以本申请的描述、定义和/或术语的使用为准。
最后,应当理解的是,本申请中所述实施例仅用以说明本申请实施例的原则。其他的变形也可能属于本申请的范围。因此,作为示例而非限制,本申请实施例的替代配置可视为与本申请的教导一致。相应地,本申请的实施例不仅限于本申请明确介绍和描述的实施例。

Claims (23)

  1. 一个系统,包括:
    一个数据接收模块,所述数据接收模块接收数据,该数据与第一设备的运行相关;
    一个处理模块,所述处理模块处理所述数据;
    一个调节模块,所述调节模块根据所述处理后的数据生成一个控制指令,所述控制指令调节所述第一设备的运行;以及
    一个电源管理模块,所述电源管理模块管理所述系统中第一模块或所述第一设备的电源。
  2. 权利要求1所述的系统,所述数据接收模块接收的数据来自一个传感器。
  3. 权利要求2所述的系统,所述传感器包括一个声音传感器、一个温度传感器、一个湿度传感器、一个运动传感器、一个亮度传感器或一个能耗传感器。
  4. 权利要求3所述的系统,所述温度传感器可以测量所述系统中所述第一模块或所述第一设备的温度。
  5. 权利要求1所述的系统,所述第一模块包括所述处理模块、所述调节模块、或所述数据接收模块。
  6. 权利要求1所述的系统,所述第一设备是加湿器、空调、电风扇、LED灯、水银灯、卤素灯、金卤灯和白炽灯中的一个或多个。
  7. 权利要求1所述的系统,所述电源管理模块为所述第一模块或所述第一设备提 供所需的电压。
  8. 权利要求1所述的系统,所述调节模块进一步包括一个功率调节单元,所述功率调节单元可以通过调节所述第一设备的输入功率来改变所述第一设备的运行。
  9. 权利要求1所述的系统,所述调节模块进一步包括一个其他设备调节单元,所述其他设备调节单元产生第二控制指令,所述第二控制指令调节所述第二设备的工作模式。
  10. 权利要求9所述的系统,所述第二设备包括一个用电器、一个智能门铃、一个防盗设备、一个智能照明设备、一个智能窗帘、一个锅炉控制设备、一个暖气控制设备、一个水箱水位调节设备或一个智能门锁。
  11. 权利要求9所述的系统,进一步包括一个无线通信模块,所述无线通信模块与所述第一设备或所述第二设备进行无线通信。
  12. 一种方法,包括:
    通过一个数据接收模块接收数据,该数据与第一设备的运行相关;
    通过一个处理模块处理所述数据;
    通过一个调节模块根据所述处理后的数据生成一个控制指令,所述控制指令调节所述第一设备的运行;以及
    通过一个电源管理模块管理一个第一模块或所述第一设备的电源。
  13. 权利要求12所述的方法,所述第一模块包括所述处理模块、所述调节模块、或所述数据接收模块。
  14. 权利要求12所述的方法,所述数据接收模块接收的数据来自一个传感器。
  15. 权利要求14所述的方法,所述传感器包括一个声音传感器、一个温度传感器、一个湿度传感器、一个运动传感器、一个亮度传感器或一个能耗传感器。
  16. 权利要求15所述的方法,所述温度传感器可以测量所述第一模块或所述第一设备的温度。
  17. 权利要求12所述的方法,所述第一设备是加湿器、空调、电风扇、LED灯、水银灯、卤素灯、金卤灯和白炽灯中的一个或多个。
  18. 权利要求12所述的方法,所述电源管理模块为所述第一模块或所述第一设备提供所需的电压。
  19. 权利要求12所述的方法,所述调节模块进一步包括一个功率调节单元,所述功率调节单元可以通过调节所述第一设备的输入功率来改变所述第一设备的运行。
  20. 权利要求12所述的方法,所述调节模块进一步包括一个其他设备调节单元,所述其他设备调节单元产生第二控制指令,所述第二控制指令调节所述第二设备的工作模式。
  21. 权利要求20所述的方法,所述第二设备包括一个用电器、一个智能门铃、一个防盗设备、一个智能照明设备、一个智能窗帘、一个锅炉控制设备、一个暖气控制设备、一个水箱水位调节设备或一个智能门锁。
  22. 权利要求20所述的方法,进一步包括通过一个无线通信模块与所述第一设备或所述第二设备进行无线通信。
  23. 一种计算机可读的存储媒介存储可执行指令,所述可执行指令使得一个计算机设备执行:
    通过一个数据接收模块接收数据,该数据与第一设备的运行相关;
    通过一个处理模块处理所述数据;
    通过一个调节模块根据所述处理后的数据生成一个控制指令,所述控制指令调节所述第一设备的运行;以及
    通过一个电源管理模块管理一个第一模块或所述第一设备的电源。
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110470040A (zh) * 2019-09-10 2019-11-19 覃凤 一种实时调节智能系统结构
US10514272B2 (en) 2016-09-09 2019-12-24 Lucis Technologies (Shanghai) Co., Ltd. Environmental parameter measurement systems
CN112153162A (zh) * 2020-10-10 2020-12-29 达昌技术发展有限公司 一种基于物联网的安全防范系统
CN114400928A (zh) * 2022-01-06 2022-04-26 深圳市环资源科创投资有限公司 云控智能无刷电机驱动系统
CN114400928B (zh) * 2022-01-06 2024-05-03 广东和汇智能装备有限公司 云控智能无刷电机驱动系统

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110502405A (zh) * 2019-07-24 2019-11-26 广州邪手网络科技有限公司 水冷系统的灯光显示效果控制方法、装置及水冷系统
US11425339B2 (en) * 2019-12-11 2022-08-23 Lg Electronics Inc. Artificial intelligence device and method thereof
CN112729613B (zh) * 2020-12-29 2023-12-22 海南电网有限责任公司五指山供电局 电力设备无源无线测温系统
CN115022369A (zh) * 2022-06-09 2022-09-06 上海睿途新材料科技有限公司 转移镀铝纸的生产线物联系统及其物联通信方法

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103197635A (zh) * 2013-03-19 2013-07-10 佛山市顺德区瑞德电子实业有限公司 一种智能家庭控制系统及其构建方法
CN104317325A (zh) * 2014-10-24 2015-01-28 小米科技有限责任公司 智能加湿方法、装置以及相关设备和加湿管理装置
US20150213703A1 (en) * 2012-08-31 2015-07-30 Google Inc. Dynamic distributed-sensor thermostat network for forecasting external events
CN104898744A (zh) * 2015-04-07 2015-09-09 深圳市卡卓无线信息技术有限公司 一种智能的洗浴设备和智能洗浴控制系统

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103673193A (zh) * 2012-08-31 2014-03-26 陕西浩瀚数码科技有限公司 一种智能家居无线控制系统
CN203870435U (zh) * 2013-12-06 2014-10-08 苏州申贝仪器有限公司 一种智能家居环境监测及调节系统
CN103955191A (zh) * 2014-04-29 2014-07-30 波瑞电气有限公司 智能家居环境质量调控系统
CN204925422U (zh) * 2015-09-16 2015-12-30 合肥同益信息科技有限公司 一种风光雨感应器
CN205210546U (zh) * 2015-12-21 2016-05-04 王化娟 智能家居环境调节系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150213703A1 (en) * 2012-08-31 2015-07-30 Google Inc. Dynamic distributed-sensor thermostat network for forecasting external events
CN103197635A (zh) * 2013-03-19 2013-07-10 佛山市顺德区瑞德电子实业有限公司 一种智能家庭控制系统及其构建方法
CN104317325A (zh) * 2014-10-24 2015-01-28 小米科技有限责任公司 智能加湿方法、装置以及相关设备和加湿管理装置
CN104898744A (zh) * 2015-04-07 2015-09-09 深圳市卡卓无线信息技术有限公司 一种智能的洗浴设备和智能洗浴控制系统

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10514272B2 (en) 2016-09-09 2019-12-24 Lucis Technologies (Shanghai) Co., Ltd. Environmental parameter measurement systems
CN110470040A (zh) * 2019-09-10 2019-11-19 覃凤 一种实时调节智能系统结构
CN112153162A (zh) * 2020-10-10 2020-12-29 达昌技术发展有限公司 一种基于物联网的安全防范系统
CN114400928A (zh) * 2022-01-06 2022-04-26 深圳市环资源科创投资有限公司 云控智能无刷电机驱动系统
CN114400928B (zh) * 2022-01-06 2024-05-03 广东和汇智能装备有限公司 云控智能无刷电机驱动系统

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