Multiple interacting systems at a site
Disclosed are platforms for communicating among one or more otherwise independent systems involved in controlling functions of buildings or other sites having switchable optical devices deployed therein. Such independent systems include a window control system and one or more other independent systems such as systems that control residential home products (e.g., thermostats, smoke alarms, etc.), HVAC systems, security systems, lighting control systems, and the like. Together the systems control and/or monitor multiple features and/or products, including switchable windows and other infrastructure of a site, which may be a commercial, residential, or public site.
1. A window control system, wherein the window control system is configured to:
interact directly, via an application programming interface (API), with one or more sensors of a building; and
control an optical state of one or more optically switchable windows in the building responsive to data provided by the one or more sensors.
2. The window control system of claim 1 , further comprising at least one other system selected from the group consisting of a lighting system, an HVAC systems, and a home appliance control system, wherein the window control system and the at least one other system are configured to interact directly via the API.
3. The window control system of claim 1 , wherein the window control system comprises a window controller configured to control transitions of at least one optically switchable window.
4. The window control system of claim 3 , wherein the window control system comprises a plurality of electrochromic windows in electrical communication with one or more window controllers configured to communicate over a network.
5. The window control system of claim 1 , wherein the one or more sensors include at least one of a temperature sensor, an ambient light sensor, a photosensor, an occupancy sensor, a power load sensor, or a transmissivity sensor.
6. The window control system of claim 5 , wherein the photosensor is a charge coupled device (CCD), a photodiode, a photoresistor, or a photovoltaic cell.
7. The window control system of claim 5 , wherein the occupancy sensor includes a Blue Tooth Low Energy beacon.
8. The window control system of claim 7 , wherein the beacon is disposed in a window controller or a wall interface.
9. The window control system of claim 1 , wherein the one or more sensors include a multifunctional sensor providing sensed data for a variety of parameters relevant to window tinting or other building management.
10. A method, implemented on a window control system, the method comprising the window control system:
interacting directly, via an application programming interface (API), with one or more sensors of a building; and
controlling an optical state of one or more optically switchable windows in the building responsive to data provided by the one or more sensors.
11. The method of claim 10 , wherein the window control system comprises a plurality of electrochromic windows in electrical communication with one or more window controllers configured to communicate over a network.
12. The method of claim 10 , wherein the one or more sensors include at least one of a temperature sensor, an ambient light sensor, a photosensor, an occupancy sensor, a power load sensor, or a transmissivity sensor.
13. A window control system comprising:
interfaces communicatively coupled with a plurality of switchable optical devices, a plurality of window controllers and a plurality of sensors;
wherein the window control system is configured to:
compare a first collection of historical relevant parameters with a second collection of recent relevant parameters, the relevant parameters including one or more of voltage response, current response and communications fidelity from one or more of the sensors, the optical switchable devices and the window controllers; and
identify, from the comparison, performance trends and/or performance trend deviations.
14. The window control system of claim 13 , further configured to identify, in response to the analyzed data, any of the switchable optical devices, window controllers and sensors that are exhibiting a performance trend deviation.
15. The window control system of claim 13 , further configured to note when data from a switchable device, a sensor, and/or a controller indicates a problem in an external system.
16. The window control system of claim 13 , further configured to learn one or more user preferences.
17. The window control system of claim 13 , further comprising interfaces communicatively coupled with a plurality of external systems or services accessible through workstations, portable computers, or mobile devices such as smartphones.
18. The window control system of claim 13 , wherein the system includes a data warehouse, an analytics server, and a report server.
19. The window control system of claim 13 , wherein the system is configured to:
interact directly, via an application programming interface (API), with the plurality of sensors; and
control an optical state of one or more optically switchable windows responsive to the historical and real-time data.
20. The window control system of claim 13 , wherein the historical and real-time data includes performance data of one or more the plurality of switchable optical devices or window controllers.
21. A method, implemented on a window control system, the control system being communicatively coupled with a plurality of switchable optical devices, a plurality of window controllers and a plurality of sensors, the method comprising the window control system:
compare a first collection of historical and relevant parameters with a second collection of recent relevant parameters, the relevant parameters including one or more of voltage response, current response and communications fidelity from one or more of the sensors, the optical switchable devices and the window controllers; and
identifying, from the analyzed data, performance trends and/or performance trend deviations.
22. The method of claim 21 , further comprising identifying, in response to the analyzed data, any of the switchable optical devices, window controllers and sensors that are exhibiting a performance trend deviation.
23. The method of claim 21 , further comprising learning one or more user preferences.
24. The method of claim 21 , further comprising:
interacting directly, via an application programming interface (API), with the plurality of sensors; and
controlling an optical state of one or more optically switchable windows responsive to the historical and real-time data.