A simulated roof firefighting training apparatus includes a rectangular frame having first and second side members and bottom and top members attached to the first and second side members to form a roof area, each of the bottom and top members including spaced apart rafter supports on inner faces thereof, first and second lifting arms having first ends pivotally mounted to first ends of the first and second side members at an intermediate positions along their lengths, first and second vertical supports attached, respectively, to the first and second side members at positions proximate to the bottom member of the frame, raising mechanisms pivotally mounted between the side members and the first lifting arms, respectively, and fixed vertical supports attached to side members or the top member at positions proximate to a second end of the side members.

A mixed reality (MR) training system includes an identification algorithm (ML1) that identifies incidents of concern (IOCs) based on an incident report data set and related contextual data. Each IOC occurs in the data set with a frequency at least equal to a pre-determined threshold or the resulting consequence is at least equal to a different pre-determined threshold. The system also includes a prediction algorithm (ML2) configured to identify predicted changes in the frequency or contextual data of incidents, an experience generation algorithm (ML3) configured to generate an MR training experience based on IOCs identified by ML1 and the predictions of ML2. A fourth algorithm (ML4) tailors and optimizes MR generated training experiences based, in part, on (i) changes in the incident report data or contextual data or (ii) performance data or biometric response data received during or after a user's interaction with the MR training experience.

A system may include a first training module configured to train a first skill. A system may include a second training module configured to train a second skill, the second module selectively coupleable to the first training module in a multiple of limited configurations relative to each other.

A system for display for an augmented/virtual reality-based decision-making simulation includes a controller configured to receive input from a user, at least one of an augmented reality or a virtual reality device configured to display a simulated environment, a processor, and a memory coupled to the processor. The memory stores one or more computer-readable instructions, which, when executed by the processor, cause the system to: receive input by the user from the controller, indicating a selected scenario; display, on the at least one of the augmented reality or the virtual reality device, the selected scenario; receive input from the user, from the controller, to interact with the selected scenario; monitor one or more parameters associated with the execution of tasks in the selected scenario using the controller; and evaluate the user based on the monitored one or more parameters.

A processor may receive data regarding an emergency event. The processor may identify, using an artificial intelligence model, one or more features regarding the emergency event. The processor may determine that the one or more features are associated with one or more emergency response tasks. The processor may generate an action plan that incorporates the one or more emergency response tasks. The processor may output the action plan to a user.

A fire fighting training unit formed of steel plate with a stackable first story, second story and a roof mounted at eye level on a portable mobile stand for use with a thermal imaging camera. The roof is stackable on either the first story or second story. Each of the first and second stories has a hallway formed by divider panels separating first and second burn units, said hallways simulating a stairway when the first and second stories are stacked. Apertures in the divider panels have a sliding valve for controlling airflow. A garage with a base and a stackable roof is attached to the first story by a breezeway with a rotary valve in a sleeve for controlling airflow between the first story and the garage. The roofs having an aperture and the first and second burn units of the first and second stories have windows with latched closures.

A pump panel training device is provided and includes a plurality of simulated gages operable to imitate gages upon a fire truck pump panel, a plurality of simulated controls operable to imitate controls upon the fire truck pump panel, and a simulated water hose operable to imitate one of water temperature changes, water temperature pressure, and water hose vibration for the fire truck pump panel.

Provided is a simulation apparatus. The simulation apparatus may include an evacuation unit configured to simulate evacuation routes for occupants who are in a building when the building is on fire.

A computer identifies, based on sensor data from one or more sensors located in proximity to a fire site and on a corpus of firefighting knowledge, one or more firefighting goals. The computer generates, based on the one or more firefighting goals and the corpus of firefighting knowledge, one or more firefighting recommendations. The computer scores, using the corpus of firefighting knowledge, the one or more firefighting recommendations based on historical effectiveness of prior firefighting actions.

A multi-dimensional space load and fire test system for a tunnel structure, which comprises a multi-point loading self-balancing reaction force system having a rigid platform, two furnace body side-sealing apparatuses (22) and a model assembly and transport apparatus (23) for transporting and situating a tunnel model are on a track on the rigid platform (9), the two furnace body side-sealing apparatuses (22) are respectively used for sealing two end openings of the tunnel model, a tower-type combustion vehicle can be placed within an inner cavity of the tunnel model, a plurality of sets of evenly distributed self-adaptive loading apparatuses (3) used for exerting loading forces on an outer wall of the tunnel model are connected between two reaction force frames (1) of the multi-point loading self-balancing reaction force system. The present system is able to perform loading on tunnel models having different cross section shapes, can be adapted to testing requirements of tunnel structures having different cross section shapes, and with respect to tunnel structure fire testing in particular, a camera of the present system has a large imaging angle of view, the present invention has good heat resistance, possesses both terminal imaging and distance measurement, and can amply satisfy a use requirement for the high temperature environment of a tunnel fire.