Predictive building emergency guidance and advisement system
The disclosed technology uses signaling devices and sensors that are distributed throughout a building in order to provide egress guidance to people located in a building when an emergency occurs. Such signaling devices can be located at or near doors, windows, and/or other junction points between different parts of a building (e.g., passageways between different rooms). Signaling devices can provide audio and/or visual information to people to guide them along a safe pathway that is selected to provide safe egress for the person, including anticipating and protecting the person from changing emergency conditions within the building.
1. A system for predicting emergencies in a building and determining egress strategies based on the predicted emergencies, the system comprising:
a plurality of sensors positioned throughout the building and configured to detect conditions in the building; and
a computing device configured to predict emergencies in the building and determine egress strategies based on the predicted emergencies, wherein the computing device is configured to:
receive, from the plurality of sensors, information indicating the conditions in the building;
simulate, based on the received information and using artificial intelligence (AI) techniques, emergency scenarios in the building;
generate, based on the simulated emergency scenarios in the building and using predictive analytics, a plurality of egress strategies for egressing from the building during an emergency; and
return the plurality of egress strategies for selection during a real-time emergency in the building.
2. The system of claim 1 , wherein the information indicating the conditions in the building include a building layout for the building.
3. The system of claim 1 , wherein the information indicating the conditions in the building include building occupant information, the building occupant information including at least one of age, gender, mobility, or disability for each building occupant.
4. The system of claim 1 , wherein simulating emergency scenarios in the building further comprises performing predictive analytics to determine an ability of a building occupant to egress from at least one location in the building during each of the simulated emergency scenarios.
5. The system of claim 4 , wherein the computing device is further configured to:
select a predetermined egress strategy amongst the plurality of egress strategies based on the determined ability of the building occupant to egress satisfying one or more egress safety criteria; and
return the predetermined egress strategy for use during the real-time emergency in the building.
6. The system of claim 5 , wherein the determined ability of the building occupant to egress indicates a simulated egress time for the building occupant to egress from the building during the simulated emergency scenarios, and wherein the one or more egress safety criteria is satisfied based on the simulated egress time for the building occupant being less than a simulated emergency spread time.
7. The system of claim 1 , wherein generating a plurality of egress strategies further comprises generating signaling instructions that are specific to each of the plurality of egress strategies.
8. The system of claim 1 , wherein the computing device is further configured to:
determine, using predictive analytics, simulated emergency spread times, wherein each of the simulated emergency spread times identifies a length of time for a simulated emergency scenario to spread in the building;
select a predetermined egress strategy amongst the plurality of egress strategies that provides building occupants to egress from the building within a threshold amount of time from the simulated emergency spread times; and
return the predetermined egress strategy for use during the real-time emergency in the building.
9. The system of claim 1 , wherein the computing device is an emergency hub device located inside the building.
10. The system of claim 1 , wherein the computing device is a computing system that is remote from the building.
11. The system of claim 1 , wherein the plurality of sensors include a plurality of signaling devices, the signaling devices configured to output selected egress strategies amongst the plurality of egress strategies during the real-time emergency in the building.
12. The system of claim 11 , wherein, during the real-time emergency, each of the signaling devices is further configured to select an egress strategy amongst the plurality of egress strategies based on the conditions sensed in the building by the plurality of sensors.
13. The system of claim 11 , wherein the computing device is one of the plurality of signaling devices.
14. The system of claim 11 , wherein each of the plurality of signaling devices comprises an output system configured to visually or audibly output instructions to exit the building using the selected egress strategy during the real-time emergency.
15. The system of claim 14 , wherein the output system is configured to execute visual output instructions including LED lights that illuminate a pathway to exit the building corresponding to the selected egress strategy.
16. The system of claim 14 , wherein the output system is configured to execute audio output instructions describing a pathway to exit the building that corresponds to the selected egress strategy.
17. The system of claim 1 , wherein the computing device is further configured to, during the real-time emergency, select an egress strategy amongst the plurality of egress strategies based on the conditions sensed in the building by the plurality of sensors.
18. The system of claim 1 , wherein simulating, based on the received information and using AI techniques, emergency scenarios in the building comprises predicting a spread of each of the simulated emergency scenarios using machine learning techniques relative simulated movement of building occupants.
19. The system of claim 1 , wherein the plurality of sensors include temperature sensors and motion sensors.
20. The system of claim 1 , wherein generating a plurality of egress strategies comprises modeling subsets of egress strategies for each room in the building based at least in part on building occupant information.