Locational tracking aids emergency management plans. Occupants of a building or campus are determined based on presence or detection of wireless devices. When an emergency occurs, the occupants may move to safety based on the current locations of their wireless devices.

The disclosed technology provides for generating simulation training models that can be used to prepare people (i.e., building occupants, first responders) to safely and calmly respond to emergencies, such as fires in high-rise buildings. Using the training models, people can better cope with decision-making during emergencies. The disclosed technology also uses signaling devices, wearables, and other devices and sensors distributed throughout a building to provide egress or stay-in-place guidance to people located in the building during an emergency. Audio and/or visual information can be outputted 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 and in response to how the person responded to the simulation training models.

A method for monitoring devices based at least in part on detected conditions includes accumulating, by one or more sensory nodes, sensed information in an area that includes a controllable device. The method also includes analyzing the sensed information to identify historical information regarding the area that includes the controllable device. The method also includes sensing a condition within the area by the one or more sensory nodes. The method also includes determining, based at least in part on the sensed condition and at least in part on the historical information, that the sensed condition relates to the controllable device. The method further includes generating, responsive to said determining, an alert regarding the controllable device.

Disclosed are methods and/or a system of incident based camera device activation in a safety system of a structure having a fixed piping system implemented therein to supply breathable air thereacross. In accordance therewith, one or more sensor(s) associated with one or more component(s) of the safety system is integrated with a computing platform executing on a data processing device. Based on the integration of the one or more sensor(s) with the computing platform, one or more environmental parameter(s) of the one or more component(s) of the safety system is sensed. One or more camera device(s) in a vicinity of and/or on the one or more component(s) of the safety system is automatically activated based on determining, from the sensing, occurrence of an incident.

The disclosed technology provides for generating simulation training models that can be used to prepare people (i.e., building occupants, first responders) to safely and calmly respond to emergencies, such as fires in high-rise buildings. Using the training models, people can better cope with decision-making during emergencies. The disclosed technology also uses signaling devices, wearables, and other devices and sensors distributed throughout a building to provide egress or stay-in-place guidance to people located in the building during an emergency. Audio and/or visual information can be outputted 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 and in response to how the person responded to the simulation training models.

Emergency evacuation times may be predicted for a facility. Location information may be captured for each of a plurality of people within the facility and one or more historical movement patterns of one or more of the plurality of people associated with the facility may be identified based at least in part on the captured location information. One or more predefined evacuation routes may be identified for the facility. The emergency evacuation time for evacuating the facility using the one or more predefined evacuation routes in response to an evacuation event may be predicted based at least in part on the one or more historical movement patterns of one or more of the plurality of people associated with the facility.

Devices, systems, and methods for generating a route through a facility during an event are described herein. In some examples, one or more embodiments include a memory and a processor to execute instructions stored in the memory to receive an event detection signal from an event device indicating an event is occurring in a facility, determine the predefined detection zone in which the event is occurring based on the event detection signal, generate an egress route out of the facility based on the determined predefined detection zone having the event, and cause a building map of the facility to be displayed on a user interface of a display.

Devices, systems, and methods for system functionality settings based on a person of interest in an event detection system are described herein. In some examples, one or more embodiments include a memory and a processor to execute instructions stored in the memory to receive a person of interest signal indicating a location of a person of interest in a facility, and in response to receiving the person of interest signal, modify a system functionality setting of an event device in the predefined detection zone in which the location of the person of interest is located based on an attribute included in a user profile included in the person of interest signal.

A method for monitoring devices based at least in part on detected conditions includes accumulating, by one or more sensory nodes, sensed information in an area that includes a controllable device. The method also includes analyzing the sensed information to identify historical information regarding the area that includes the controllable device. The method also includes sensing a condition within the area by the one or more sensory nodes. The method also includes determining, based at least in part on the sensed condition and at least in part on the historical information, that the sensed condition relates to the controllable device. The method further includes generating, responsive to said determining, an alert regarding the controllable device.

A smart system for evacuation and rescue support in case of a large building disaster and an operation method for the smart system are disclosed. In an embodiment, a smart system deployed in a large building includes: a communication part that, in the event of an emergency situation, receives information on an emergency situation from an integrated control center of the large building; a sensing part including at least one camera; an output part that outputs information; a driving part that moves the smart system; a boarding part for getting a user in the large building aboard; and a control part that controls the communication part, the sensing part, the output part, and the driving part, wherein the control part determines crowdedness by analyzing an image inputted through the at least one camera, operates in a kiosk mode and outputs information through the output part, if the crowdedness is equal to or above a preset threshold, operates in a rescue mode and moves the smart system through the driving part, if the crowdedness is below the preset threshold, and searches for a mobility handicapped person or a person in need of rescue by analyzing an image inputted through the at least one camera.