System and method for optimizing lighting in response to online weather data
A distributed lighting network has its lights scheduled based on weather forecast information. A lighting controller stores a lighting schedule for distribution to the distributed lighting network and transmits the lighting schedule to the network. The lighting controller receives from a subscription weather server, short-term or long-term weather forecast datasets. The lighting controller generates lighting control information to modify the lighting schedule, based on the received customized weather forecast datasets, and transmits the lighting control information to the distributed lighting network to modify the lighting schedule, based on the customized weather forecast datasets. The system also enables the lighting schedules to modulate human circadian rhythms if necessary to further promote public health and safety during weather events.
1. A system for controlling a distributed lighting network based on weather forecast information, comprising:
a lighting controller, configured to distribute a lighting schedule or update one or more existing lighting schedules to the distributed lighting network;
a plurality of lighting devices in the distributed network, at least a sub-plurality of the plurality of lighting devices configured to receive and store at least a portion of the lighting schedule distributed by the lighting controller;
the lighting controller, further configured to receive weather forecast datasets from a subscription weather server; and
the lighting controller, further configured to distribute lighting control signals to the distributed lighting network to modify or replace the portion of the lighting schedule stored in the sub-plurality of lighting devices, based on the weather forecast datasets.
2. The system of claim 1 , wherein the lighting schedule is at least one of static, periodic by day, week, month, season, year, or adjusted due to time of day or weather event duration to achieve a desired impact on human circadian cycle.
3. The system of claim 1 , wherein the lighting schedule controls on/off lighting, light dimming sequences to an on or off state, light color frequency selection, light color intensity of red, green, and blue light components, light level brightening based on predicted duration for type of weather condition, or light level brightening based on length of daylight for day of year.
4. The system of claim 1 , wherein the weather forecast datasets from the subscription weather server comprise data representing localized weather forecasts for a geographical region encompassing the distributed lighting network, the datasets comprising at least one of tables, maps, or sensor information that includes at least one of cloud cover information, on-going weather events, ambient temperature, pressure, or humidity.
5. The system of claim 1 , wherein the modification of the lighting schedule comprises at least one of changing times for lighting to go on or off, changing color/frequency of the lighting, brightening intensity in response to a severe storm, a softer intensity in response to a moderate storm, changing dimming, or changing rate of onset of light change.
6. The system of claim 1 , wherein the lighting controller, is further configured to distribute lighting control signals to the distributed lighting network to modify the lighting schedule, based on lunar phases or level of starlight, in combination with the received weather forecast datasets.
7. The system of claim 1 , wherein the modification of the lighting schedule comprises changing spectral range of lighting to visual acuity during periods of weather events, cloudiness or overcast.
8. The system of claim 1 , wherein the modification of the lighting schedule comprises changing lighting intensity to enhance night vision during periods of weather events, cloudiness or overcast.
9. The system of claim 1 , wherein the modification of the lighting schedule comprises changing brightness or spectral range of lighting to counteract a mood of depression due to seasonal affective disorder during periods of cloudiness, weather events or overcast.
10. The system of claim 1 , wherein the subscription weather server bases the weather forecast datasets on at least one of images from one or more cameras or sensor data from one or more sensors in a geographical region encompassing the distributed lighting network.
11. An apparatus for controlling a distributed lighting network based on weather forecast information, comprising:
a memory in the apparatus, configured to store a lighting schedule for distribution to the distributed lighting network;
a transmitter in the apparatus, configured to distribute the lighting schedule to the distributed lighting network;
a receiver in the apparatus, coupled to a subscription weather server, configured to receive long-term and short-term weather forecast datasets;
a processor in the apparatus, configured to generate lighting control information to modify the lighting schedule, based on the received weather forecast datasets; and
the transmitter in the apparatus, further configured to distribute the lighting control information to the distributed lighting network to modify the lighting schedule, based on the weather forecast datasets.
12. The apparatus of claim 11 , wherein the lighting schedule is at least one of static, periodic by day, week, month, season, year, or adjusted due to time of day or weather event duration to achieve a desired impact on human circadian cycle.
13. The apparatus of claim 11 , wherein the lighting schedule controls on/off lighting, light dimming sequences to an on or off state, light color frequency selection, light color intensity of red, green, and blue light components, light level brightening based on predicted duration for type of weather condition, or light level brightening based on length of daylight for day of year.
14. The apparatus of claim 11 , wherein the weather forecast datasets from the subscription weather server comprise data representing localized weather forecasts for a geographical region encompassing the distributed lighting network, the datasets comprising at least one of tables, maps, or sensor information that includes at least one of cloud cover information, on-going weather events, ambient temperature, pressure, or humidity.
15. The apparatus of claim 11 , wherein the modification of the lighting schedule comprises at least one of changing times for lighting to go on or off, changing color/frequency of the lighting, brightening intensity in response to a severe storm, a softer intensity in response to a moderate storm, changing dimming, or changing rate of onset of light change.
16. The apparatus of claim 11 , wherein the lighting controller, is further configured to distribute lighting control signals to the distributed lighting network to modify the lighting schedule, based on lunar phases or level of starlight, in combination with the received weather forecast datasets.
17. The apparatus of claim 11 , wherein the modification of the lighting schedule comprises changing spectral range of lighting to enhance visual acuity during periods of weather events cloudiness or overcast.
18. The apparatus of claim 11 , wherein the modification of the lighting schedule comprises changing lighting intensity to enhance night vision during periods of weather events, cloudiness or overcast.
19. The apparatus of claim 11 , wherein the modification of the lighting schedule comprises changing brightness or spectral range of lighting to counteract a mood of depression due to seasonal affective disorder during periods of weather events, cloudiness or overcast.
20. The apparatus of claim 11 , wherein the subscription weather server bases the weather forecast datasets on at least one of images from one or more cameras or sensor data from one or more sensors in a geographical region encompassing the distributed lighting network.
21. A method for controlling a distributed lighting network based on weather forecast information, comprising:
storing in an apparatus, a lighting schedule for distribution to the distributed lighting network;
transmitting by the apparatus, the lighting schedule to the distributed lighting network;
receiving by the apparatus, from a subscription weather server, weather forecast datasets;
generating by the apparatus, lighting control information to modify the lighting schedule, based on the received weather forecast datasets; and
transmitting by the apparatus, the lighting control information to the distributed lighting network to modify the lighting schedule, based on the weather forecast datasets.
22. The method of claim 21 , wherein the lighting schedule is at least one of static, periodic by day, week, month, season, year, or adjusted due to time of day or weather event duration to achieve a desired impact on human circadian cycle.
23. The method of claim 21 , wherein the lighting schedule controls on/off lighting, light dimming sequences to an on or off state, light color frequency selection, light color intensity of red, green, and blue light components, light level brightening based on predicted duration for type of weather condition, or light level brightening based on length of daylight for day of year.
24. The method of claim 21 , wherein the weather forecast datasets from the subscription weather server comprise data representing localized weather forecasts for a geographical region encompassing the distributed lighting network, the datasets comprising at least one of tables, maps, or sensor information that includes at least one of cloud cover information, on-going weather events, ambient temperature, pressure, or humidity.
25. The method of claim 21 , wherein the modification of the lighting schedule comprises at least one of changing times for lighting to go on or off, changing color/frequency of the lighting, brightening intensity in response to a severe storm, a softer intensity in response to a moderate storm, changing dimming, or changing rate of onset of light change.
26. The method of claim 21 , wherein the lighting controller, is further configured to distribute lighting control signals to the distributed lighting network to modify the lighting schedule, based on lunar phases or level of starlight, in combination with the received weather forecast datasets.
27. The method of claim 21 , wherein the modification of the lighting schedule comprises changing spectral range of lighting to enhance visual acuity during periods of weather events, cloudiness or overcast.
28. The method of claim 21 , wherein the modification of the lighting schedule comprises changing lighting intensity to enhance night vision during periods of weather events, cloudiness or overcast.
29. The method of claim 21 , wherein the modification of the lighting schedule comprises changing brightness or spectral range of lighting to counteract a mood of depression due to seasonal affective disorder during periods of weather events, cloudiness or overcast.
30. The method of claim 21 , wherein the subscription weather server bases the weather forecast datasets on at least one of images from one or more cameras or sensor data from one or more sensors in a geographical region encompassing the distributed lighting network.