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AMBIENT INTELLIGENCE BASED ENVIRONMENT SAFE INTERFERENCE FREE CLOSED LOOP WIRELESS ENERGY TRANSFERING/RECEIVING NETWORK WITH HIGHLY FLEXIBLE ACTIVE ADAPTIVE SELF STEERING MULTILEVEL MULTICAST COHERENT ENERGY POWER STREAMS

  • US 20150340875A1
  • Filed: 12/27/2013
  • Published: 11/26/2015
  • Est. Priority Date: 12/31/2012
  • Status: Active Grant
First Claim
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1. Highly flexible environment safe interference free closed loop wireless energy transferring &

  • receiving network works with precise knowledge of environmental users and objects particularly utilising ambient intelligence [Aml], spatial—

    processing, computing &

    filtering thereby actively self steering coherent energy multicast &

    multilevel power streams and beams to precisely optimize the power transfer mainly to power on demand scavenging device photovoltaic cell all according to device type, power requirement status, usage scenarios and operating modes comprise ofa) A network of sensor system present in either one or both or all power source and scavenging devices and its environments that actively generate trigger signal based on parameters comprising of Precisely Sensing—

    environmental users &

    objects in both stationary and motion with its relative direction, dimension, multilayers, range or distance &

    position between [line of sight (LOS)] and correlating with respect to coherent energy power source and power scavenging device;

    Active &

    Precisely sensing relative—

    direction, dimension, orientation, altitude, location and position between and with respect to coherent energy power sources and power scavenging device photovoltaic cell;

    Precisely sensing users and scavenging device platform &

    environments nature or property [permittivity-ε

    , permeability-μ

    , conductivity-Ω

    , susceptibility, dielectric, organic, inorganic], visual &

    infrared sensing;

    Sensing scavenging device operating modes and usage scenarios.b) A processing unit in either one or both or all the power source, scavenging devices and its environments interoperates with each other in real time utilising ambient intelligence, spatial processing, spatial filtering and adaptive closed loop algorithm to check for best feasible environment &

    space thereby generating control signal to safe, smart, active and reliably transfer power based on parameters comprising of—

    Precisely sensing relative human presence based on property [visual, IR, body &

    face recognition] with direction, dimension, orientation, dimension &

    range between and with respect to power source &

    scavenging device;

    Precise knowledge of environment &

    environmental objects—

    property, dimension, direction, orientation, distance or range, multi layers &

    position between and with respect to coherent energy power source and scavenging device photovoltaic cell;

    Sensing effect of reflections on environment to minimise unwanted secondary effect &

    user radiation exposure;

    Property based user sensing thereby precisely sensing head, body &

    hand hold effects, face recognition;

    Actively shared parameters between power source and scavenging devices;

    Status of transmitted and received power level;

    Device type, operating modes, usage scenarios and power requirement status are all compared with predetermined &

    tested correlation table parameters in an active, adoptive and closed loop manner for precisely computing effect of and effect on environment thereby computing directivity, intensity, gain, beam width and interoperate with network of power source according to scenarios ultimately to efficiently shape &

    optimise the power transfer precisely to scavenging device photovoltaic cell with multilevel and multicast beams [not broadcast or to whole device or its environment], protecting the user &

    environment by avoiding unnecessary primary &

    secondary radiation exposure, avoiding interference and saves loss of powerc) Ambient intelligence based wireless energy transfer/receive optimizing network comprises of one or more or network of self steering coherent energy power source coupled with processing unit &

    sensor system that acts according to control signal from processing unit and are capable of actively tracking the human presence &

    mobility, environmental objects and scavenging device in real time thereby self steer the multilevel multicast power streams or beams particularly and precisely to one or more power scavenging devices photovoltaic cell ultimately to protect the environmental users, other parts of device, device environment, provide high availability of power while simultaneously optimising between reliable power transfer, avoiding unnecessary user radiation exposure, avoiding interference and loss of power.d) The Ambient intelligence based power transfer network comprises of multicast &

    multilevel coherent energy power transfer setup that utilises lower levels coherent energy power streams for computing &

    calibrating the power transfer thereby to precisely sense the status of scavenging device with its photovoltaic cell and once the calibration is completed the coherent energy power streams are shifted to higher levels according to change in environmental conditions and power scavenging device status &

    power requirement levels based on design, configuration and scenarios for protecting as well as precise optimising and achieving maximum power transfer. Every time the present system performs re computing &

    recalibration when there is a relative environmental change or device status.e) Ambient intelligence based power transfer network with its high availability transfers power to power scavenging devices irrespective of most of the real world scenarios by shifting or switching between multiple power source according to environmental condition, power requirement status and scenarios. In scenarios where power scavenging device is out of scope of one power source the network of power source smartly interoperate with each other to compute best alternative feasible power source thereby to reliably continue the power transfer to power scavenging device. In scenarios where environmental users and objects presence is sensed with proximity or between Line of Sight or when the present system expects or foresee a user presence or object based on their mobility between LOS of power source and scavenging device, the system either shift to low level or cut off the power transfer in early and check for alternative power source from the network of power source to continue the power transfer to scavenging device photovoltaic cell.f) The system utilises artificial intelligence and neural network for sensing &

    learning the operating modes and usage scenarios to act accordingly.

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