Abstract:
An exemplary lighting system utilizes intelligent system elements, such as lighting devices, user interfaces for lighting control or the like and possibly sensors, and utilizes network communication amongst such intelligent system elements. Some processing functions performed within the system are implemented on a distributed processing basis, by two or more of the intelligent elements of the lighting system. Distributed processing, for example, may enable use of available processor and/or memory resources of a number of intelligent system elements to process a particular job. Another distributed processing approach might entail programming to configure two or more of the intelligent system elements to implement multiple instances of a server functionality with respect to client functionalities implemented on intelligent system elements.
Abstract:
A system of network-connected lighting devices also offers a distributed processing function that utilizes processor and/or memory resources if/when available in some or all of the lighting devices. In the examples, a resource manager receives a job for distributed processing using shared available resources. The resource manager identifies lighting devices having resources of the processors and/or the memories available for the distributed processing function. The resource manager distributes tasks and/or data of the received job through a communications network to identified lighting devices, for distributed processing. The resource manager also receives results of distributed processing for the received job, from the identified lighting devices through the communications network. The received results are processed to produce a composite result for a response to the received job.
Abstract:
A lighting device or an apparatus for use with a light source has one or more sensors, intelligence in the form of programmed processors and communication capabilities. Each sensor is configured to monitor one or more conditions external to a lighting device not directly related to operational performance of the respective lighting device. Programming provides a standardized interface to enable processing of sensed conditions from sensors of different types.
Abstract:
At least one controllable source of visible light is configured to illuminate a space to be utilized by one or more occupants. A controller causes the source(s) to emit light in a manner that varies at least one characteristic of visible light emitted into the space over a period of time at least in part in accordance with a chaotic function.
Abstract:
Lighting devices and/or systems offer dynamic control or tuning of color of light. The lighting systems utilize sources, such as solid state sources, to individually pump a number of different phosphors of types having relatively high degrees of color purity. The phosphor emissions, however, are still broader than the traditionally monochromatic color emissions of LEDs. The different phosphors can be independently excited to controllable levels, by individually controlled sources rated for emission of energy of the same spectrum. Adjustment of intensities of electromagnetic energy emitted by the sources independently adjusts levels of excitations of the phosphors selected to emit different colors of relatively high purity and thus the contributions of pure colors to the combined light output, for example, to enables color adjustment of the light output over a wide range of different selectable colors encompassing much of the gamut of visible light.
Abstract:
A system including a controllable device configured to provide a premises related service in an area of a premises. The system includes an electroencephalography (EEG) device configured to be positioned with respect to a head of a user and process signals detected in real-time. The system also includes a processor in communication with the EEG device, a memory accessible by the processor and instructions stored in the memory for execution by the processor. A data is stored in the memory that associates each of a plurality of predetermined sets of signals from the brain detected via the EEG device with at least one control instruction. The execution of the instructions configures the processor to using the stored data, analyze the real-time detected signals to determine that the real-time detected signals correspond to one of the plurality of predetermined set of signals associated with the one control instruction and generate a control data signal based on the one control instruction.
Abstract:
A lighting device utilizes physical or virtual separation of elements within the lighting device to isolate a first portion of data for delivery to a first data network from a second portion of data for delivery to a second data network. The first portion of data relates to a first signal generated responsive to a first sensed condition. The second portion of data may relate to the first signal or to a second signal generated responsive to the first sensed condition or a second sensed condition. The lighting device utilizes a first communication interface to deliver the first portion of data to the first data network and a second communication interface to deliver the second portion of data to the second data network.
Abstract:
Disclosed are examples of lighting devices and other devices that are equipped with a cellular transceiver that is configured to communicate using cellular radio frequency spectrum in both a small-scale cellular network and a large-scale cellular communication network. By utilizing a short-range, low-power cellular transceiver setting, a lighting device facilitates communication, within the space in which the lighting device is installed, of messages between the lighting device and other types of user devices. Such an equipped lighting device may be configured to participate in the generation and delivery of different types of messages, such as data, emergency broadcast information, news and other information. Such a lighting device also may be configured to extend the reach of devices within the space in which the equipped lighting devices are located.
Abstract:
An example of a building automation system utilizes intelligent system elements, some of which are lighting devices having light sources, and some of which are utility building control and automation elements. Some utility building control and automation elements include a controllable mechanism for use in control of some aspect of the building other than lighting. Another intelligent system element may include either a user interface component and be configured as a building controller, or include a detector and be configured as a sensor. Each intelligent system element includes a network communication interface, processor, memory and programming to configure the intelligent system element as a lighting device, utility building control and automation element, controller or sensor. At least one of the intelligent lighting devices is configured as a building control and automation system server. Several examples, however, implement the overall control using distributed processing.
Abstract:
Defining features of a light fixture collectively form a light fixture fingerprint and uniquely identify the light fixture. The light fixture fingerprint is humanly imperceptible. Location information for the uniquely identifiable light fixture is obtained by a mobile device after identifying the light fixture based on the light fixture fingerprint. Location of the mobile device is estimated based on the obtained location information of the uniquely identifiable light fixture.