A method for classifying activity based on multi-sensor input includes receiving, from two or more sensors, sensor data indicating activity within a building, determining, for each of the two or more sensors and based on the received sensor data, (i) an extracted feature vector for activity within the building and (ii) location data, labelling each of the extracted feature vectors with the location data, generating, using the extracted feature vectors, an integrated feature vector, detecting a particular activity based on the integrated feature vector, and in response to detecting the particular activity, performing a monitoring action.

A method for classifying activity based on multi-sensor input includes receiving, from two or more sensors, sensor data indicating activity within a building, determining, for each of the two or more sensors and based on the received sensor data, (i) an extracted feature vector for activity within the building and (ii) location data, labelling each of the extracted feature vectors with the location data, generating, using the extracted feature vectors, an integrated feature vector, detecting a particular activity based on the integrated feature vector, and in response to detecting the particular activity, performing a monitoring action.

A network of wireless remote climate sensors in a heating, ventilation, and air conditioning (HVAC) system permits the creation of personalized microclimates within an enclosed space. In addition to collecting temperature and humidity data, the wireless remote climate sensors can detect whether the enclosed space is occupied by a human. Human detection is made possible by optional cameras, microphones, and gas sensors on the wireless remote climate sensors. As the human moves throughout the enclosed space, the HVAC system is able to track the human's movement using the wireless remote climate sensors. The HVAC system may adjust airflow to different portions of the enclosed space based on the human's location. The result is an efficient use of system resources to keep users at their ideal temperature.

A network of wireless remote climate sensors in a heating, ventilation, and air conditioning (HVAC) system permits the creation of personalized microclimates within an enclosed space. In addition to collecting temperature and humidity data, the wireless remote climate sensors can detect whether the enclosed space is occupied by a human. Human detection is made possible by optional cameras, microphones, and gas sensors on the wireless remote climate sensors. As the human moves throughout the enclosed space, the HVAC system is able to track the human's movement using the wireless remote climate sensors. The HVAC system may adjust airflow to different portions of the enclosed space based on the human's location. The result is an efficient use of system resources to keep users at their ideal temperature.

An electronic stove incorporates a cylindrical outer shell and a concentric copper heater core. A foil heater surrounds the copper heater core and a heater control PCB carried in the outer shell is connected to the foil heater. A battery assembly has a cylindrical second outer shell carrying a battery pack. A power controller carried in the second outer shell is connected to the battery pack. A connector carriage is engaged between the battery assembly and cylindrical outer shell, extending through the shell of the battery assembly and received in the cylindrical outer shell aligned proximate a lower surface of the first outer shell whereby the lower surfaces of the first outer shell and the second outer shell are in planar alignment. A first contact set of a connector is connected to the heater control PCB. A second contact is connected to the power controller.

An electronic stove incorporates a cylindrical outer shell and a concentric copper heater core. A foil heater surrounds the copper heater core and a heater control PCB carried in the outer shell is connected to the foil heater. A battery assembly has a cylindrical second outer shell carrying a battery pack. A power controller carried in the second outer shell is connected to the battery pack. A connector carriage is engaged between the battery assembly and cylindrical outer shell, extending through the shell of the battery assembly and received in the cylindrical outer shell aligned proximate a lower surface of the first outer shell whereby the lower surfaces of the first outer shell and the second outer shell are in planar alignment. A first contact set of a connector is connected to the heater control PCB. A second contact is connected to the power controller.

A simulation system comprising: a plurality of physical components, each corresponding to one of a plurality of physical component types, an attachment panel comprising an arrangement of attachment locations, such that one or more of the physical components are attachable to the attachment panel; a display system configured to provide a visualisation on or proximate one or both of the attachment panel and the plurality of physical components; a capture device configured to capture image data of a current status of the attachment panel and the plurality of physical components; and a controller, when at least one physical component is coupled to the attachment panel.

A simulation system comprising: a plurality of physical components, each corresponding to one of a plurality of physical component types, an attachment panel comprising an arrangement of attachment locations, such that one or more of the physical components are attachable to the attachment panel; a display system configured to provide a visualisation on or proximate one or both of the attachment panel and the plurality of physical components; a capture device configured to capture image data of a current status of the attachment panel and the plurality of physical components; and a controller, when at least one physical component is coupled to the attachment panel.

An exemplary embodiment of the present disclosure discloses a method of setting a model threshold value for detecting an anomaly of a facility monitoring system, the method including: acquiring sensor data output from each sensor; extracting a feature value for the sensor data of each sensor; acquiring output data by inputting input data including the extracted feature value to a trained neural network model; and comparing the input data and the output data and setting a threshold value for detecting an anomaly based on a calculated comparison result value.

Systems, methods and apparatus for electric power grid management and communications are disclosed. At least one active grid element is constructed and configured in network-based communication with a server via at least one coordinator. The at least one active grid element communicates Internet Protocol (IP)-based messages with the server via the at least one coordinator in real time or less than 15 minutes interval. The at least one active grid element participates actively in an electric power grid. The at least one active grid element has an energy consumption pattern or an energy supply pattern. The IP-based messages comprise at least one IP packet including a content, a priority, a security, and a transport route. The content comprises an amount of power available for the electric power grid or an amount of curtailment power available at an attachment point of the at least one grid element.