Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A system and method for detecting speech from occupants in a building management system is disclosed. Building management systems include fire alarm systems, building automation systems and security systems, in examples. Installed devices deployed within the building include audio transducers that detect speech from the occupants, and a management system panel processes the information from the installed devices and processes the detected speech from the occupants. In a fire alarm system, in one example, the fire alarm panel processes the detected speech from fire sensor devices and alarm notification devices as the installed devices. The fire alarm panel and/or its installed devices can identify commands from the detected speech for controlling and testing the fire alarm management system. In embodiments, Artificial Intelligence (AI) subsystems can be further added to the building management systems for control and information services.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A system and method for detecting speech from occupants in a building management system is disclosed. Building management systems include fire alarm systems, building automation systems and security systems, in examples. Installed devices deployed within the building include audio transducers that detect speech from the occupants, and a management system panel processes the information from the installed devices and processes the detected speech from the occupants. In a fire alarm system, in one example, the fire alarm panel processes the detected speech from fire sensor devices and alarm notification devices as the installed devices. The fire alarm panel and/or its installed devices can identify commands from the detected speech for controlling and testing the fire alarm management system. In embodiments, Artificial Intelligence (AI) subsystems can be further added to the building management systems for control and information services.

Abstract: The methods, devices, and systems of the various embodiments may include an esophageal probe including and elongate tube, at least one pair of pacing electrodes and at least one temperature sensor. The elongate tube may include a proximal end for coupling to a handle and a distal end for insertion into an esophagus of a patient. The pair of pacing electrodes may be disposed at the distal end of the elongate tube, along with the temperature sensor. The temperature monitoring equipment may monitor the temperatures sensor, enable pacing to be conducted using the pair of pacing electrodes when measured temperature is within one or more thresholds, and preventing pacing from being conducted when measured temperature is not within the one or more thresholds.