A system includes a processor, safety devices including a door-related safety device, and environmental condition detection sensors. The processor is configured to receive environmental condition sensor data from the at least one environmental condition detection sensor. An imminent occurrence of a threat event tis detected that would cause the damage a building. A risk analysis model analyzes threat event related environmental condition sensor data to predict a risk value that the at least one threat event would cause the damage to the at least one building and to generate risk mitigation actions that at least reduces the damage during the actual occurrence of the threat event. Prior to the actual occurrence of the threat event, respective risk mitigation instructions are transmitted to actuators that cause an operational state change of safety devices so as to at least reduce the damage to the building from the threat event.

A system for analyzing movement of a plurality of objects, including a transceiver, a location and movement estimator, and a group classifier, where the transceiver receives a plurality of information units from the objects, each information unit includes data related to radio signals, the location and movement estimator uses the data to compute movement characteristics for the objects, and the group classifier classifies the objects to coordinated groups according to their movement characteristics.

A system for analyzing movement of a plurality of objects, including a transceiver, a location and movement estimator, and a group classifier, where the transceiver receives a plurality of information units from the objects, each information unit includes data related to radio signals, the location and movement estimator uses the data to compute movement characteristics for the objects, and the group classifier classifies the objects to coordinated groups according to their movement characteristics.

An internet-of-things, IoT, device (100) includes a luminosity sensing unit and a motion sensing unit. The IoT device (100) also includes a first network interface connectable to an IoT coordinator device (200) over a first network using a first network protocol, and a second network interface configured to communicate over a second network via a second network protocol. The IoT device (100) is configured to act as a bridge between the first and second networks, allowing integration of various smart building management services (600). A smart building control system (300) comprises a plurality of the IoT devices (100).

An internet-of-things, IoT, device (100) includes a luminosity sensing unit and a motion sensing unit. The IoT device (100) also includes a first network interface connectable to an IoT coordinator device (200) over a first network using a first network protocol, and a second network interface configured to communicate over a second network via a second network protocol. The IoT device (100) is configured to act as a bridge between the first and second networks, allowing integration of various smart building management services (600). A smart building control system (300) comprises a plurality of the IoT devices (100).

A building management system (BMS) of a building for controlling a healthcare facility. The BMS including one or more processing circuits comprising one or more memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to: receive a signal indicating a code blue event in a room for a patient; and adjust at least one of a temperature, a pressure, a humidity level, a lighting system, or an air composition in the room automatically in response to the received signal.

A building management system (BMS) of a building for controlling a healthcare facility. The BMS including one or more processing circuits comprising one or more memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to: receive a signal indicating a code blue event in a room for a patient; and adjust at least one of a temperature, a pressure, a humidity level, a lighting system, or an air composition in the room automatically in response to the received signal.

Systems and methods for sensing and monitoring various athletic performance metrics, e.g., during the course of a game, a practice, a training session, training drills, and the like, are described. These systems and methods can provide useful metrics for players and coaches relating to athletic performances in various sports, including various team sports.

A computing system is configured to analyze both measurement data and indicator data as big data aggregated in measurement database and indicator database by deep learning for each lot of a part or for each lot of a finished product and a part pre-associated with each other, and also for each consolidation target between bases subordinate to the same start point corresponding to identification information that specifies a business user of the computing system. Analysis target layers by the deep learning are a three-layer serial hierarchical structure containing a production condition layer and an environment condition layer as a start point for analysis of a part layer, or a four-layer serial hierarchical structure containing a part layer, a production condition layer, and an environment condition layer as a start point for analysis of a finished product layer.

A computing system is configured to analyze both measurement data and indicator data as big data aggregated in measurement database and indicator database by deep learning for each lot of a part or for each lot of a finished product and a part pre-associated with each other, and also for each consolidation target between bases subordinate to the same start point corresponding to identification information that specifies a business user of the computing system. Analysis target layers by the deep learning are a three-layer serial hierarchical structure containing a production condition layer and an environment condition layer as a start point for analysis of a part layer, or a four-layer serial hierarchical structure containing a part layer, a production condition layer, and an environment condition layer as a start point for analysis of a finished product layer.