System and method utilizing bio-algorithms for light fixture networks
According to some embodiments, information about at least one user associated with a light fixture network, having a plurality of light fixtures each equipped with a wireless communication device, may be received. A bio-algorithm to be applied to the light fixture network may then be determined based on the information about the at least one user. An appropriate lighting parameter (e.g., a luminescence, a wattage, a color characteristic, and/or a wavelength) for at least one of the light fixtures in the light fixture network may be dynamically calculated, and it may be arranged for the at least one light fixture to operate in accordance with the dynamically calculated lighting parameter.
1. A system associated with light fixtures, the system comprising:
a communication port to receive, from a graphical user interface, information about at least one user associated with a light fixture network having a plurality of light fixtures each equipped with a wireless communication device, wherein the graphical user interface includes map information display locations of light fixtures and sensors in a user's home and the information about the at least one user includes user schedule data graphically exchanged via the graphical user interface;
a computer memory for storing data; and
a processor in communication with the computer memory, wherein the processor is configured to:
determine, based on the information about the at least one user, a bio-algorithm to be applied to the light fixture network,
dynamically calculate an appropriate lighting parameter for at least one of the light fixtures in the light fixture network, and
arrange for the at least one light fixture to operate in accordance with the dynamically calculated lighting parameter.
2. The system of claim 1 , wherein at least some of the light fixtures are energy efficient light emitting diode light fixtures.
3. The system of claim 2 , wherein the information about the at least one user includes selection by the user of the bio-algorithm from a list of potential bio-algorithms presented via the graphical user interface.
4. The system of claim 3 , wherein the selected bio-algorithm is associated with at least one of: (i) a healthy lifestyle program, (ii) a mental acuity program, (iii) a sleep cycle optimization program, (iv) insomnia treatment, (v) a dementia reduction program, (vi) a circadian cycle, (vii) a seasonal affective disorder treatment, (viii) depression, and (xiv) Sundown Syndrome.
5. The system of claim 1 , wherein the information about the at least one user includes at least one of: (i) a user age, (ii) a user gender, (iii) a user work schedule, (iv) user sleep habits, (v) user medical information, (vi) a user identifier, (vii) a wearable user activity tracker, and (viii) a mattress sensor.
6. The system of claim 1 , wherein the dynamic calculation is further associated with at least one of: (i) energy efficiency, (ii) air quality, (iii) temperature, (iv) calories, (iv) a motion sensor, (v) a user location within a residence, (vi) multiple users, (vii) a window shade, (viii) a heating or cooling system, (ix) an entertainment system, (x) a pet monitoring system, (xi) a child monitoring system, (xii) a pool monitoring system, (xiii) a water monitoring system, (xiv) a time of day, (xv) a day of week, (xvi) a day of year, (xvii) a season, (xviii) a holiday, (xix) a safety and security system, (xx) a wearable device, and (xxi) a bed mattress pad.
7. The system of claim 1 , wherein the lighting parameter is associated with at least one of: (i) a luminescence, (ii) a wattage, (iii) a color characteristic, (iv) a correlated color temperature, and (v) a wavelength.
8. The system of claim 1 , wherein at least some of the light fixtures are further equipped with a sensor, and the processor is further configured to:
collect sensor information from the light fixture network.
9. The system of claim 8 , wherein the sensor is to detect: (i) a level of light, (ii) motion, (iii) temperature, (iv) a presence of volatile organic compounds, (v) air quality, and (vi) data from another sensor.
10. The system of claim 1 , wherein the communication port receives data about the light fixture network via at least one of: (i) a user communication hub co-located with the light fixture network, and (ii) one of the plurality of light fixtures wherein the light fixture network comprises a mesh network topology.
11. The system of claim 1 , wherein information about multiple users associated with multiple residences is transmitted to at least one of: (i) a user device, (ii) an enterprise device, (iii) an energy company device, and (iv) a payment platform.
12. A computerized method associated with light fixtures, the method comprising:
receiving from a graphical user interface, information about at least one user associated with a light fixture network having a plurality of light fixtures each equipped with a wireless communication device, wherein the graphical user interface includes map information display locations of light fixtures and sensors in a user's home and the information about the at least one user includes user schedule data graphically exchanged via the graphical user interface;
determining, based on the information about the at least one user, a bio-algorithm to be applied to the light fixture network;
dynamically calculating an appropriate lighting parameter for at least one of the light fixtures in the light fixture network; and
arranging for the at least one light fixture to operate in accordance with the dynamically calculated lighting parameter.
13. The method of claim 12 , wherein at least some of the light fixtures are energy efficient light emitting diode light fixtures.
14. The method of claim 12 , wherein the information about the at least one user includes selection by the user of the bio-algorithm from a list of potential bio-algorithms presented via the graphical user interface.
15. The method of claim 14 , wherein the selected bio-algorithm is associated with at least one of: (i) a healthy lifestyle program, (ii) a mental acuity program, (iii) a sleep cycle optimization program, (iv) insomnia treatment, (v) a dementia reduction program, (vi) a circadian cycle, (vii) a seasonal affective disorder treatment, and (viii) Sundown Syndrome.
16. The method of claim 14 , wherein the information about the at least one user includes at least one of: (i) a user age, (ii) a user gender, (iii) a user work schedule, (iv) user sleep habits, (v) user medical information, (vi) a user identifier, (vii) a wearable user activity tracker, and (viii) a mattress sensor.
17. The method of claim 12 , wherein the dynamic calculation is further associated with at least one of: (i) energy efficiency, (ii) air quality, (iii) temperature, (iv) calories, (iv) a motion sensor, (v) a user location within a residence, (vi) multiple users, (vii) a window shade, (viii) a heating or cooling method, (ix) an entertainment method, (x) a pet monitoring method, (xi) a child monitoring method, (xii) a pool monitoring method, and (xiii) a water monitoring method.
18. The method of claim 12 , wherein the lighting parameter is associated with at least one of: (i) a luminescence, (ii) a wattage, (iii) a color characteristic, (iv) a correlated color temperature, and (v) a wavelength.
19. A non-transitory, computer readable medium having stored therein instructions that, upon execution, cause a computer to perform a method associated with light fixtures, the method comprising:
receiving, via a graphical user interface, information about at least one user associated with a light fixture network having a plurality of light fixtures each equipped with a wireless communication device, wherein the graphical user interface includes map information display locations of light fixtures and sensors in a user's home and the information about the at least one user includes user schedule data graphically exchanged via the graphical user interface;
determining, based on the information about the at least one user, a bio-algorithm to be applied to the light fixture network;
dynamically calculating an appropriate lighting parameter for at least one of the light fixtures in the light fixture network; and
arranging for the at least one light fixture to operate in accordance with the dynamically calculated lighting parameter.
20. The medium of claim 19 , wherein at least some of the light fixtures are energy efficient light emitting diode light fixtures.
21. The medium of claim 19 , wherein the information about the at least one user includes selection by the user of the bio-algorithm from a list of potential bio-algorithms presented via the graphical user interface.
22. The medium of claim 21 , wherein the selected bio-algorithm is associated with at least one of: (i) a healthy lifestyle program, (ii) a mental acuity program, (iii) a sleep cycle optimization program, (iv) insomnia treatment, (v) a dementia reduction program, (vi) a circadian cycle, (vii) a seasonal affective disorder treatment, and (viii) Sundown Syndrome.
23. The medium of claim 19 , wherein the information about the at least one user includes at least one of: (i) a user age, (ii) a user gender, (iii) a user work schedule, (iv) user sleep habits, (v) user medical information, (vi) a user identifier, (vii) a wearable user activity tracker, and (viii) a mattress sensor.
24. The medium of claim 19 , wherein the dynamic calculation is further associated with at least one of: (i) energy efficiency, (ii) air quality, (iii) temperature, (iv) calories, (iv) a motion sensor, (v) a user location within a residence, (vi) multiple users, (vii) a window shade, (viii) a heating or cooling medium, (ix) an entertainment medium, (x) a pet monitoring medium, (xi) a child monitoring medium, (xii) a pool monitoring medium, and (xiii) a water monitoring medium.
25. The medium of claim 19 , wherein the lighting parameter is associated with at least one of: (i) a luminescence, (ii) a wattage, (iii) a color characteristic, (iv) a correlated color temperature, and (v) a wavelength.