Abstract: Methods, systems and computer program products for intrusion detection are provided. Aspects include receiving, by a processor, internet of things (IoT) device data from each of a plurality of IoT devices, wherein the IoT device data comprises operational data and non-operational data associated with each of the plurality of IoT devices. A security model is built for the plurality of IoT devices based at least in part on the IoT device data, wherein the security model comprises one or more IoT device data ranges. The plurality of IoT devices are monitored to identify a potential intrusion in any of the plurality of IoT devices based at least in part on the IoT device data exceeding any of the one or more IoT device data ranges.

Abstract: An active sensor calibration system includes a plurality of sensors configured to measure at least one physical quantity. Each sensor is configured to output a signal indicating at least one measured physical quantity. An electronic scenario library module is configured to store a plurality of scenarios. Each scenario is configured to excite two or more selected sensors among the plurality of sensors to generate redundancy among the selected sensors based on physical quantity models. An electronic calibration module is in signal communication with the plurality of sensors and the scenario library. The calibration module is configured to select at least one scenario from the scenario library module, determine at least one possible un-calibrated sensor among the plurality of sensors, and to identify a positive un-calibrated sensor in response to executing the at least one selected scenario.

Abstract: A control system for an HVAC system having at least one HVAC component, the control system comprising: a controller having a processor and a memory, the controller in signal communication with the at least one HVAC component, the controller configured to: determine a startup/shut-down setpoint and the time associated with a beginning or an end of a building occupancy period; determine a predicted weather condition for outside air at a location of the HVAC system; predict a set of indoor air conditions over the period from the current time until the building being occupied/unoccupied based on the determined setpoint and time and the predicted weather condition; and start/stop the at least one HVAC component when an actual room air condition approaches the predicted indoor air condition.

Abstract: Methods, systems and computer program products for intrusion detection are provided. Aspects include receiving, by a processor, internet of things (IoT) device data from each of a plurality of IoT devices, wherein the IoT device data comprises operational data and non-operational data associated with each of the plurality of IoT devices. A security model is built for the plurality of IoT devices based at least in part on the IoT device data, wherein the security model comprises one or more IoT device data ranges. The plurality of IoT devices are monitored to identify a potential intrusion in any of the plurality of IoT devices based at least in part on the IoT device data exceeding any of the one or more IoT device data ranges.

Abstract: A control system for an HVAC system having at least one HVAC component, the control system comprising: a controller having a processor and a memory, the controller in signal communication with the at least one HVAC component, the controller configured to: determine a startup/shut-down setpoint and the time associated with a beginning or an end of a building occupancy period; determine a predicted weather condition for outside air at a location of the HVAC system; predict a set of indoor air conditions over the period from the current time until the building being occupied/unoccupied based on the determined setpoint and time and the predicted weather condition; and start/stop the at least one HVAC component when an actual room air condition approaches the predicted indoor air condition.

Abstract: An active sensor calibration system includes a plurality of sensors configured to measure at least one physical quantity. Each sensor is configured to output a signal indicating at least one measured physical quantity. An electronic scenario library module is configured to store a plurality of scenarios. Each scenario is configured to excite two or more selected sensors among the plurality of sensors to generate redundancy among the selected sensors based on physical quantity models. An electronic calibration module is in signal communication with the plurality of sensors and the scenario library. The calibration module is configured to select at least one scenario from the scenario library module, determine at least one possible un-calibrated sensor among the plurality of sensors, and to identify a positive un-calibrated sensor in response to executing the at least one selected scenario.