Patent Application
20180139821
The present disclosure relates to lighting control. More particularly, the present disclosure relates to methods and apparatuses for providing autonomous lighting control.
Artificial lighting is ubiquitous and has become an integral part of our environment and society. There are billions of light sockets and millions of standalone fixtures used indoor and outdoor, and in most circumstances, these sockets and fixtures are controlled by merely turning a power supply on or off. In some applications, however, there can be an additional dimension for controlling a lighting fixture by adjusting the amount of light output from the fixture. This can be done in a variety of ways, including varying the amount of power delivered to the lighting element within the fixture.
Furthermore, some lighting fixtures include individual light sources that can provide a variety of light output patterns by utilizing beam forming optics such as reflective and/or refractive optical elements. Light output patterns may also be varied by altering the orientation of the light emanating from the light source itself. As such, controlling a single or multiple of these light source/optics combinations can yield a desired light distribution from the lighting fixture as a whole.
Methods for initiating the control of lighting fixtures arranged in a lighting system network generally include hardwiring control means directly to the power supply of the lighting fixtures included in the network. In one typical scenario, these hardwiring methods require varying the power light sources in accordance with a control signal protocol associated with a controller that is locally installed at the lighting fixture. For example, such a control signal protocol may be based on a standard 0 to 10 Volt signaling controller, or on a DALI signaling protocol. Such methods can be cumbersome when a large number of lighting fixtures must be controlled.
In yet another scenario, a wireless link can be established to a control device within the fixture via a standard communications protocol such as Wi-Fi or via other known communications methods. These methods generally require the establishment of a larger control architecture, including access to a large communications network, such as the Internet, which is utilized to provide the actual command and control signals for the lighting network from a remote location. As such, these methods can be cost-prohibitive over large geographic areas.
The embodiments featured herein provide autonomous sensing of environmental conditions surrounding a lighting fixture and the capability of performing adjustments to the output of one or more lighting fixtures in response to the sensed conditions. Further, some of the embodiments may be used to provide a large area command and control lighting system that is autonomous and free of the drawbacks of typical lighting systems networks. Furthermore, some of the embodiments may be configured to accumulate operational information regarding the performance and sensed conditions throughout a large area, thus providing data for use as a learning database for future system deployments and/or for further analytics and control method development.
One embodiment provides a lighting system that includes a first node associated with a first lighting fixture and a second node associated with a second lighting fixture. The first node may be communicatively coupled to a sensor. Further, the first node may be configured to fetch or receive data from the sensor, and, based on the data, the first node may communicate a command to the second node. The command may include an instruction to alter a light output at the second lighting fixture.
Another embodiment provides a method for use with a set of lighting fixtures. The method includes autonomously altering a light output of a first lighting fixture of the set. The autonomous altering includes receiving sensor information by a node associated with a second lighting fixture of the set. The autonomous altering further includes communicating to a node associated with the first lighting fixture, based on the sensor information, a message configured to cause a power controller of the first lighting fixture to alter the light output at the first lighting fixture.
Additional features, modes of operations, advantages, and other aspects of various embodiments are described below with reference to the accompanying drawings. It is noted that the present disclosure is not limited to the specific embodiments described herein. These embodiments are presented for illustrative purposes only. Additional embodiments, or modifications of the embodiments disclosed, will be readily apparent to persons skilled in the relevant art(s) based on the teachings provided.
Illustrative embodiments may take form in various components and arrangements of components. Illustrative embodiments are shown in the accompanying drawings, throughout which like reference numerals may indicate corresponding or similar parts in the various drawings. The drawings are only for purposes of illustrating the embodiments and are not to be construed as limiting the disclosure. Given the following enabling description of the drawings, the novel aspects of the present disclosure should become evident to a person of ordinary skill in the relevant art(s).
While the illustrative embodiments are described herein for particular applications, it should be understood that the present disclosure is not limited thereto. Those skilled in the art and with access to the teachings provided herein will recognize additional applications, modifications, and embodiments within the scope thereof and additional fields in which the present disclosure would be of significant utility.
In one embodiment, among the nodes 103, 105, 107, and 109 there can be one or more intelligent or “smart” nodes while the other remaining nodes may be thought of as “dumb” nodes. For example, in one exemplary embodiment, the node 103 may be an intelligent node, while the nodes 105, 107, and 109 are the dumb nodes.
An intelligent node is communicatively coupled to one or more sensors associated with the lighting fixture to which it is attached or to one or more sensors. The one or more sensors may be co-located with the associated lighting fixture, or they may be disposed elsewhere in the lighting system 100. For example, a sensor may be a camera that is located directly at that the lighting fixture 102. Alternatively, the camera may be located elsewhere, such as on top of the building 101 for example, or even on the lighting fixture 106.
The one or more sensors may be selected from the group consisting of a video camera, an acoustic sensor, a thermometer, a pressure sensor, a humidity sensor, a lightning detector, an accelerometer, a rate gyroscope, a passive infrared (PIR) detector, a radar, an ultrasonic sensor and a thermal imaging sensor/camera system. Nevertheless, one of ordinary skill in the art will readily recognize that additional or other sensors than those listed may be used without departing from the scope of the present disclosure.
The intelligent node (in this case the node 103) includes one or more processors that can fetch or receive and decode data from the one or more sensors, and based on the data, the intelligent node may broadcast control signals that are configured to cause processors at the other nodes in the lighting systems 100 to cause their associated lighting fixtures to alter their respective light outputs. Such alterations in light outputs can include, for example, and not by limitation, dimming or brightening.
Furthermore, a dumb node may be a response controller node (105, 107, and 109) that can fetch or receive data from the intelligent control node, and based on the data, the response controller node may cause its associated lighting fixture to alter their light output as described above. In sum, a response controller node does not issue commands to its associated lighting fixture based on sensory data but rather based on commands received or fetched from the intelligent control nodes. In a given lighting system such as the lighting system 100, there may be one intelligent node that is communicatively to one or more sensors and to one or more response controller nodes.
The lighting system 200 is similar to the lighting system 100 with the difference that it includes a plurality of lighting fixtures (206, 208, 210, 212, and 214) disposed on a first side 201 and a second side 203 of a roadway 202. The lighting fixtures are separated by a distance 205.
In the lighting system 200, there may be more or fewer than five lighting fixtures as shown in
In one example application, for the case of the lighting system 100, the intelligent node (e.g., the node 103) receives traffic data from the passage way 111 from a sensor 179. The node 103 may then process the received data by extracting a measured traffic from the data, for example, and compare the measured traffic with a threshold saved in a memory associated with the node 103.
In one example, in response to the measured traffic exceeding the threshold, the node 103 may then broadcast a message to the response controller nodes 105, 107, and 109. The message may include a command that causes the respective power controllers of the lighting fixtures associated with the response controller nodes 105, 107, and 109 to alter the intensity of the light output of each fixture. Similarly, the lighting system 200 may include a single intelligent node that instructs response controller nodes to cause a change at their respective lighting fixtures in response to a sensed traffic (for example).
Within a typical fixture network, there exist standard interfaces and command sequences to regulate the power to a fixture. One of these is known as Digital Addressable Lighting Interface, or DALI for short. DALI is a standard binary protocol that has been established to enable individual and group level control over lighting fixtures that are connected to a common set of hardwired data lines via an addressing identification scheme. In the embodiments, the response controller nodes may incorporate a standard lighting interface, such as DALI, in order to effectively “translate” the command which they receive wirelessly into a data structure or control means which is recognized by lighting products.
While the embodiments featured herein are described in the context of the DALI protocol, the DALI protocol is not the only protocol that may be used with the embodiments. Specifically, one of ordinary skill in the art will readily recognize that the teachings featured herein may be adapted to other communication and protocols associated with lighting fixtures.
The DALI dimmable driver 303 is also interfaced with control wires 308 that are connected to a source that supplies a DALI control signal, which may be generated based on an instruction received from a response controller node associated with the lighting fixture 300. The aforementioned components may be enclosed within a housing 305, which can also include a window 306 that provides environmental protection for the parts of the system while allowing light to emanate from the lighting fixture 300.
The output of the interface electronics 404 is configured to receive a set of DALI control signals provided on DALI wires 409 to a suitable DALI fixture 413, which in turn comprises a DALI-configured driver 414 and a corresponding light source 415. The node 400 may also comprise an AC to DC converter 407 which converts standard AC power 408 into DC voltage for the proper operation of the electronics within the node. The converter 407 is interconnected to those components in the node, which requires power via the DC power wires 406.
It is noted that as described in further detail below, the intelligent control node 500 may be in communication with one or more sensors that are not a camera. Generally, the control node 500 may use environmental sensors to sense one or more conditions in the environment of the control node 500. For example, the sensors may be either one of or a combination of an acoustic sensor, a thermometer, a pressure sensor, a humidity sensor, a lightning detector, an accelerometer, a rate gyro, a PIR detector, a radar, an ultrasonic sensor or a thermal imaging sensor/camera system.
The system can optionally be equipped with a handshaking and command verification step 707 to ensure that the fixture being commanded has actually received the command and taken the requested action. It is understood that further steps may be involved if the system comprises a plurality of remotely located fixtures and that the addressing schemes and command verification protocols become repetitive and introduce many other optional paths for the logic flow to follow. The sequence displayed is meant to simplify the demonstration of how the system may operate in a normal fashion.
Generally, some of the embodiments featured herein provide a lighting system that includes a first node associated with a first lighting fixture and a second node associated with a second lighting fixture. The first node may be communicatively coupled to a sensor. Further, the first node may be configured to fetch or receive data from the sensor, and, based on the data, the first node may communicate a command to the second node. The command may include an instruction to alter a light output at the second lighting fixture.
The first node may be configured to analyze the data to determine whether a condition is a met. For example, the first node may be configured to compare a measurement value extracted from the data with a threshold and generate the command when the measurement value exceeds or falls below the threshold.
The data may originate from a sensor selected from the group consisting of an image sensor, an accelerometer, a vibration sensor, a temperature sensor, a humidity sensor, an acoustic sensor and a light sensor. As previously mentioned, the sensor may or may not be co-located with a lighting fixture. In one specific example, the sensor can be a video camera.
The second node may be communicatively coupled to a power controller of the second lighting fixture, and the second node may be configured to instruct the power controller, according to a DALI protocol and based on the command, to alter the light output of the second lighting fixture.
The power controller may be configured to perform an operation selected from the group consisting of turning on the second lighting fixture, turning off the second lighting fixture, dimming a light beam of the second lighting fixture, and brightening the light beam of the second lighting fixture.
Another exemplary lighting system may feature a set of lighting fixtures in which each lighting fixture is associated with a control node and in which a specified control node associated with a specified lighting fixture is configured to instruct, based on sensor information, another control node associated with another lighting fixture to cause a change in the other lighting fixture's light output. The specified control node may be an intelligent control node whereas the other control node is a response controller node that is not configured to receive the senor information. In other words, the response controller node may have no connectivity to an image sensor, an accelerometer, a vibration sensor, a temperature sensor, a humidity sensor, or a light sensor.
The exemplary lighting systems featured herein are thus configured to perform autonomous lighting control. In other words, light output at one or more fixture in a lighting fixture network may be controlled without user intervention and based on measured (i.e., sensed) environmental conditions. Generally, a method executed by the hardware of the exemplary lighting systems can include receiving sensor information by a node associated with a second lighting fixture of the set. The method can further include communicating to a node associated with the first lighting fixture, based on the sensor information, a message configured to cause a power controller of the first lighting fixture to alter the light output at the first lighting fixture. The message may be sent wirelessly.
Generally, the method may include, prior to the communicating, determining, from the sensor information and by a processor of the node associated with the second lighting fixture, whether a condition has been met, and in response to the condition having been met communicating the message.
Typical systems may take the form of manual control or timer systems, which can be programmed to effect changes within the lighting system based upon a scheduled event. Certain types of lighting fixtures and control systems utilize ambient light sensors, such as Passive Infra-Red sensors (PIR sensors) which control individual fixtures or groups thereof by sensing the amount of ambient light or motion in the vicinity of a fixture and turning the fixture's power on or off as a result. Along with PIRs, there are a host of other control mechanisms possible, such as microwave sensors, radars and other passive and active sensing means. These systems tend to be have threshold settings within their control mechanisms which create an “on” or “off” signal based upon the trigger event and tend to be non-programmable and limited in their degree of ability to be adapted to a variety of applications and environments.
In contrast, systems in accordance with the embodiments of the present disclosure may comprise one or more intelligent sensing control nodes to provide autonomous operation. Such an intelligent control node can function as a point of central communications for a lighting network, and may possess the capability of determining the environmental or situational conditions of the network, and wirelessly adjusting the output of the other lighting fixtures in the network, either individually or as a group of one or more fixtures.
The intelligent control node is envisioned to include one or more sensors. In some embodiments, these sensors may comprise a video camera and associated processor in order to sense the environment and situations in the area around the lighting network. The processor may employ re-programmable analytics algorithms, and example of which may include sensing the number, quality or size of targets within the area of the fixtures before triggering the operation of the network fixtures. Such analytics algorithms may also include creating certain rules and operational guidelines so that a given sensing area of a sensor can be associated with a defined fixture (or defined fixtures) and provide lighting to those areas.
Along with the control node, the system typically further comprises nodal response controllers, which are attached to a plurality of lighting fixtures in the system. These nodal response controllers may receive a command signal (possibly wirelessly) from the control node and then provide signals to the fixture in response. These signals may include those necessary to dim the light source within the fixture, or turn off its power completely, or provide some other ancillary function within the fixture. The rationale behind altering the light output of a fixture is intended to improve the energy efficiency via reductions in energy consumption, improve safety in the area surrounding a fixture by increasing the illumination or altering its distribution so as to change its glare characteristics or possibly utilize the lighting fixtures in the network to signal conditions to people in the area by flashing or modulating the light output.
It is envisioned that the communications architecture within the system may comprise one or more radios for relatively low data rate, small packet transfer components. There exists several such radios, which can achieve robust small packet data communications over distances measured in kilometers. This disclosure is not intended to discuss the operational aspects of the radio hardware. It is typical that this radio sub-system will be common to both the control node and response controllers, and as such, certain common features may be included with it so as to optimize the cost and functional architecture of the system. An example of this would be to combine the power supply (e.g., an AC to DC convertor) as well as the lighting control architecture (e.g., DALI interface hardware/sub-system) along with the radio sub-system. In doing so, an optimal management of cost and economies of scale could be realized in a production environment.
As part of a network, a command and control protocol which can take advantage of the small packet communications hardware may be developed. A suitable command and control protocol may comprise: an addressing scheme to individually identify a lighting fixture; an addressing scheme to associate a fixture into a group of similarly controlled fixtures; and commands to turn power on and off, and/or to dim the fixture via adjustment of power levels.
Furthermore, there may be multiple light sources within the fixture, so it will also be necessary to create an identification scheme to address the control of these light sources within an individual fixture of group of fixtures. Further, data may be exchanged between a control node and a response controller, and therefore corresponding commands to request data and transmit data between the control and response nodes may be provided. This list is not meant to be all encompassing, and will certainly expand to incorporate other capabilities and features.
Together with the control node, the network of interconnected nodes can provide a long-range lighting control system. The response characteristics of the overall lighting network can be characterized by sensing a condition in the vicinity of the control node and generating the appropriate control response output for the lighting network.
Furthermore, in yet another use case, some embodiments may be structured as follows. One or more sensors may be an ambient acoustic sensor, (e.g., an audio microphone) or an ultrasonic sensor. A system featuring such sensors may be used along a roadway and configured for “highway sensing.” The exemplary system may use microphones rather than video cameras to sense traffic and weather conditions. Furthermore, in some alternate implementations, the exemplary system may include ultrasonic sensing, provided by an ultrasonic transducer (e.g., a speaker) and a receiver (e.g., a microphone) to detect motion and possibly count (i.e., estimate a degree of) traffic as it passes on the roadway.
In the latter implementation, the ultrasonic transducer may send out a high frequency tone (e.g., a 40,000 Hz) and look for Doppler shifts in the return signal. The ultrasonic transducer's receiver portion may be preferentially tuned for a high response in the 40,000 Hz range. These methods may be used because they can be more economical than video-based analytics, as in the previously described embodiments.
Those skilled in the relevant art(s) will appreciate that various adaptations and modifications of the embodiments described above can be configured without departing from the scope and spirit of the disclosure. Therefore, it is to be understood that, within the scope of the appended claims, the disclosure may be practiced other than as specifically described herein.
The present disclosure claims the benefit of U.S. Provisional Patent Application No. 62/421,834 filed on Nov. 14, 2016, the content of which is incorporated herein by reference in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| 62421834 | Nov 2016 | US |
