Description:FIELD OF THE INVENTION
The present invention relates to lighting systems, particularly to a networked system of smart lighting devices capable of dynamically adjusting their illumination levels to maintain a consistent and optimal lighting environment across a defined area.
BACKGROUND OF THE INVENTION
Maintaining proper and uniform lighting in larger areas is challenging due to the varying intensity of light needed in different sections. Traditional lighting systems lack the intelligence to adjust lighting based on real-time conditions, leading to inefficient energy usage and inconsistent lighting levels. There is a need for a smart lighting solution that can dynamically adjust lighting levels to ensure uniformity and optimal illumination throughout larger spaces.
EXISTING SOLUTIONS
1. Philips Hue Smart Lighting: A system that allows remote control of lighting via an app but doesn't offer real-time dynamic adjustment based on light intensity.
2. Lutron Caseta Wireless: Provides wireless control and scheduling of lights but lacks real-time light intensity sensing and dynamic adjustment capabilities.
3. GE Smart Lighting: Offers remote control and automation but doesn't incorporate real-time light sensors and Bluetooth communication for uniform lighting maintenance.
Relevant Prior Art Material: A Google search did not yield specific prior art related to stair-specific slip detection, but numerous patents and applications exist for smart lighting systems that use wireless communication and sensors for automation.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The present invention involves a network of smart lighting devices equipped with light sensors and Bluetooth communication modules. Each light sensor measures the local light intensity level and communicates with other lighting devices in the vicinity using Bluetooth. The system processes this data to adjust the lighting output of each device to maintain a consistent and optimal lighting level across the entire area. This dynamic adjustment ensures uniform lighting and efficient energy usage by dimming or brightening lights as needed.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE1: PROPOSED SYSTEM CONNECTIVITY
FIGURE 2: FLOW CHAT OF PROPOSED SYSTEM
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The proposed invention involves a network of smart lighting devices equipped with light sensors and Bluetooth communication modules. Each light sensor measures the local light intensity level and communicates with other lighting devices in the vicinity using Bluetooth. The system processes this data to adjust the lighting output of each device to maintain a consistent and optimal lighting level across the entire area. This dynamic adjustment ensures uniform lighting and efficient energy usage by dimming or brightening lights as needed.
Figure 1: show a network of lighting devices with sensors and Bluetooth modules, indicating communication paths and light intensity measurement points.
Figure 2: would illustrate the process flow, from light intensity measurement by sensors to communication between devices and adjustment of lighting levels
The invention comprises multiple smart lighting devices, each equipped with:
• Light Sensor: Measures the ambient light intensity in the device's vicinity.
• Bluetooth Module: Enables wireless communication with other lighting devices in the network.
• Microcontroller: Processes sensor data, communicates with other devices, and controls the lighting output.
• Lighting Element: The light source, such as an LED array, capable of dimming or brightening based on control signals from the microcontroller.
The system operates as follows:
1. Light Intensity Measurement: Each device continuously measures the ambient light intensity using its light sensor.
2. Data Exchange: The measured light intensity values are transmitted to neighboring devices via Bluetooth.
3. Data Processing: Each device receives light intensity data from its neighbors and processes this information along with its own sensor reading. A distributed algorithm, implemented on each device's microcontroller, analyzes the collected data to determine the desired lighting level for the device to achieve a uniform and optimal illumination across the network.
4. Lighting Adjustment: The microcontroller adjusts the lighting output of the device's lighting element based on the calculated desired level. This adjustment may involve dimming or brightening the light to match the target illumination.
5. Continuous Adaptation: The system continuously repeats steps 1-4, allowing dynamic adaptation to changes in ambient light conditions, such as daylight variation or occupancy changes.

WE CLAIM:
1. A networked smart lighting system, comprising:
A plurality of smart lighting devices, each device including:
o A light sensor configured to measure ambient light intensity.
o A Bluetooth communication module configured to communicate with other smart lighting devices in the network.
o A microcontroller configured to process sensor data, communicate with other devices, and control a lighting element.
o A lighting element configured to emit light and adjust its lighting output based on control signals from the microcontroller.
2. The system as claimed in claim 1, wherein the microcontroller of each smart lighting device is further configured to:
• Receive light intensity data from its own light sensor and from neighboring smart lighting devices via the Bluetooth communication module;
• Execute a distributed algorithm to process the received light intensity data and determine a desired lighting level for the device to achieve uniform illumination across the network;
• Adjust the lighting output of the lighting element based on the calculated desired lighting level.
3. The system as claimed in claim 2, wherein the distributed algorithm considers the following factors in determining the desired lighting level: The measured ambient light intensity from the device's own light sensor; the received light intensity data from neighbouring smart lighting devices; and a target illumination level for the network; and the physical location or proximity of the device to other devices in the network.
4. The system as claimed in claim 1, wherein the Bluetooth communication module operates in a mesh network topology to facilitate communication between smart lighting devices.
5. The system as claimed in claim 1, wherein the smart lighting devices are further configured to dynamically adapt their lighting output in response to changes in ambient light conditions.
6. A method for controlling illumination in a networked smart lighting system, comprising the steps of:
Measuring ambient light intensity at each smart lighting device using a light sensor;
Exchanging light intensity data between neighbouring smart lighting devices via Bluetooth communication;
Processing the received light intensity data at each smart lighting device using a distributed algorithm to determine a desired lighting level;
Adjusting the lighting output of each smart lighting device based on the calculated desired lighting level;
Repeating the above steps continuously to dynamically adapt to changes in ambient light conditions.
7. The method as claimed in claim 6, wherein the distributed algorithm considers the following factors in determining the desired lighting level: the measured ambient light intensity at each device; the received light intensity data from neighbouring devices; A target illumination level for the network; the physical location or proximity of each device to other devices in the network.
8. The method as claimed in claim 6, wherein the Bluetooth communication is performed using a mesh network topology.
, Claims:1. A networked smart lighting system, comprising:
A plurality of smart lighting devices, each device including:
o A light sensor configured to measure ambient light intensity.
o A Bluetooth communication module configured to communicate with other smart lighting devices in the network.
o A microcontroller configured to process sensor data, communicate with other devices, and control a lighting element.
o A lighting element configured to emit light and adjust its lighting output based on control signals from the microcontroller.
2. The system as claimed in claim 1, wherein the microcontroller of each smart lighting device is further configured to:
• Receive light intensity data from its own light sensor and from neighboring smart lighting devices via the Bluetooth communication module;
• Execute a distributed algorithm to process the received light intensity data and determine a desired lighting level for the device to achieve uniform illumination across the network;
• Adjust the lighting output of the lighting element based on the calculated desired lighting level.
3. The system as claimed in claim 2, wherein the distributed algorithm considers the following factors in determining the desired lighting level: The measured ambient light intensity from the device's own light sensor; the received light intensity data from neighbouring smart lighting devices; and a target illumination level for the network; and the physical location or proximity of the device to other devices in the network.
4. The system as claimed in claim 1, wherein the Bluetooth communication module operates in a mesh network topology to facilitate communication between smart lighting devices.
5. The system as claimed in claim 1, wherein the smart lighting devices are further configured to dynamically adapt their lighting output in response to changes in ambient light conditions.
6. A method for controlling illumination in a networked smart lighting system, comprising the steps of:
Measuring ambient light intensity at each smart lighting device using a light sensor;
Exchanging light intensity data between neighbouring smart lighting devices via Bluetooth communication;
Processing the received light intensity data at each smart lighting device using a distributed algorithm to determine a desired lighting level;
Adjusting the lighting output of each smart lighting device based on the calculated desired lighting level;
Repeating the above steps continuously to dynamically adapt to changes in ambient light conditions.
7. The method as claimed in claim 6, wherein the distributed algorithm considers the following factors in determining the desired lighting level: the measured ambient light intensity at each device; the received light intensity data from neighbouring devices; A target illumination level for the network; the physical location or proximity of each device to other devices in the network.
8. The method as claimed in claim 6, wherein the Bluetooth communication is performed using a mesh network topology.