Abstract: Computer-implemented methods and structures deploy a heating ventilation and air conditioning (HVAC) energy optimization program. A standard operating control platform (OCP) is deployed in an energy optimization control engine (EOCE) computing system communicatively coupled to a plurality of HVAC components via a building automation system (BAS). An energy optimization portal (EOP), which receives from the EOCE computing system a first data set identifying the plurality of HVAC components, a second data set including operational control parameters for each of the plurality of HVAC components, and a third data set including measured operations data associated with each of the plurality of HVAC components. The EOP generates an energy optimized operating control platform based on the first, second, and third data sets, which is automatically communicated from the EOP to the EOCE computing system.

Abstract: A method for controlling an air handler includes providing a temperature setpoint to a smart valve in fluid communication with one or more coils of the air handler, providing to the smart valve an air temperature of air conditioned by the air handler, and modulating a valve position of the smart valve using the temperature setpoint, and the air temperature.

Abstract: The present disclosure describes a solution to monitor, control and share HVAC operation state information and the analysis thereof based on a distributed computing system involving local building automation servers (BAS), a network based (cloud-based) system and client terminals. On the network based system, a client level virtual machine launches a container process for a client, which includes a background sub-process and a foreground sub-process. The background sub-process collects and analyzes HVAC data without client interaction. The foreground sub-process is setup upon the launching of the container process, but is fully activated until suitable client interaction is detected. The foreground sub-process pushes for a more comprehensive set of HVAC operation data through the BAS server and analyzes and presents the data and analysis result in substantially real time to the client through the client terminal with a higher data updating rate than the background sub-process.

Abstract: A fault detection system for detecting a flow restriction in an air handler is provided. The system includes a coil, air and liquid temperature sensors, a smart valve and a notification device. The coil is located in an air stream of the air handler. The air temperature sensors are located in the air stream, one sensor determining an air temperature of air upstream of the coil and another determines an air temperature downstream of the coil. The liquid temperature sensors determine a liquid temperature entering the coil and exiting the coil. The smart valve includes a controller in communication with the liquid temperature sensors and at least one of the air temperature sensors that uses the measured air temperature downstream of the coil and a valve actuator position to determine whether the coil is operating at a reduced capacity. The notification device communicates with the controller of the smart valve.

Abstract: Radar system that utilizes Multiple Hypothesis Tracker (MHT) to resolve angle ambiguities, from a series of dwells with ambiguous detections over time. The system receives first and second observation, forms radar tracks and ambiguous angle detections using unfolding data at each of the ambiguous angle detections, scores the radar tracks to determine a best hypothesis of tracks, where a hypothesis for the MHT is formed by collecting compatible tracks into the hypothesis and computing probabilities of the hypothesis by using the score of each radar track in said hypothesis, and compares the scores of all the radar tracks originating from the first observation data to determine whether one of the scores of the radar tracks exceeds the scores of all other radar tracks originating from the same first observation data by a predetermined range.

Abstract: Computer-implemented methods and structures deploy a heating ventilation and air conditioning (HVAC) energy optimization program. A standard operating control platform (OCP) is deployed in an energy optimization control engine (EOCE) computing system communicatively coupled to a plurality of HVAC components via a building automation system (BAS). An energy optimization portal (EOP), which receives from the EOCE computing system a first data set identifying the plurality of HVAC components, a second data set including operational control parameters for each of the plurality of HVAC components, and a third data set including measured operations data associated with each of the plurality of HVAC components. The EOP generates an energy optimized operating control platform based on the first, second, and third data sets, which is automatically communicated from the EOP to the EOCE computing system.

Abstract: An air handler unit (AHU) in communication with a building automation system (BAS) or through direct programming of one or more smart valves within the AHU operates to meter an amount of water that flows through a coil in the AHU. In one embodiment, the BAS transmits a temperature setpoint signal to the smart valve and allows the smart valve to control its valve position without additional input from the BAS. In another embodiment, the AHU includes a master smart valve and a second valve. The BAS provides the temperature setpoint signal to the master smart valve, which in turn provides another temperature setpoint signal to the second valve. The second valve may take the form of a slave smart valve or a slave non-smart valve.

Abstract: The present disclosure describes a solution to monitor, control and share HVAC operation state information and the analysis thereof based on a distributed computing system involving local building automation servers (BAS), a network based (cloud-based) system and client terminals. On the network based system, a client level virtual machine launches a container process for a client, which includes a background sub-process and a foreground sub-process. The background sub-process collects and analyzes HVAC data without client interaction. The foreground sub-process is setup upon the launching of the container process, but is fully activated until suitable client interaction is detected. The foreground sub-process pushes for a more comprehensive set of HVAC operation data through the BAS server and analyzes and presents the data and analysis result in substantially real time to the client through the client terminal with a higher data updating rate than the background sub-process.

Abstract: An air handler unit (AHU) in communication with a building automation system (BAS) or through direct programming of one or more smart valves within the AHU operates to meter an amount of water that flows through a coil in the AHU. In one embodiment, the BAS transmits a temperature setpoint signal to the smart valve and allows the smart valve to control its valve position without additional input from the BAS. In another embodiment, the AHU includes a master smart valve and a second valve. The BAS provides the temperature setpoint signal to the master smart valve, which in turn provides another temperature setpoint signal to the second valve. The second valve may take the form of a slave smart valve or a slave non-smart valve.

Abstract: Radar system that utilizes Multiple Hypothesis Tracker (MHT) to resolve angle ambiguities, from a series of dwells with ambiguous detections over time. The system receives first and second observation, forms radar tracks and ambiguous angle detections using unfolding data at each of the ambiguous angle detections, scores the radar tracks to determine a best hypothesis of tracks, where a hypothesis for the MHT is formed by collecting compatible tracks into the hypothesis and computing probabilities of the hypothesis by using the score of each radar track in said hypothesis, and compares the scores of all the radar tracks originating from the first observation data to determine whether one of the scores of the radar tracks exceeds the scores of all other radar tracks originating from the same first observation data by a predetermined range.

Abstract: A fault detection system for detecting a flow restriction in an air handler is provided. The system includes a coil, air and liquid temperature sensors, a smart valve and a notification device. The coil is located in an air stream of the air handler. The air temperature sensors are located in the air stream, one sensor determining an air temperature of air upstream of the coil and another determines an air temperature downstream of the coil. The liquid temperature sensors determine a liquid temperature entering the coil and exiting the coil. The smart valve includes a controller in communication with the liquid temperature sensors and at least one of the air temperature sensors that uses the measured air temperature downstream of the coil and a valve actuator position to determine whether the coil is operating at a reduced capacity. The notification device communicates with the controller of the smart valve.

Abstract: An air handler unit (AHU) in communication with a building automation system (BAS) or through direct programming of one or more smart valves within the AHU operates to meter an amount of water that flows through a coil in the AHU. In one embodiment, the BAS transmits a temperature setpoint signal to the smart valve and allows the smart valve to control its valve position without additional input from the BAS. In another embodiment, the AHU includes a master smart valve and a second valve. The BAS provides the temperature setpoint signal to the master smart valve, which in turn provides another temperature setpoint signal to the second valve. The second valve may take the form of a slave smart valve or a slave non-smart valve.

Abstract: An air handler unit (AHU) in communication with a building automation system (BAS) or through direct programming of one or more smart valves within the AHU operates to meter an amount of water that flows through a coil in the AHU. In one embodiment, the BAS transmits a temperature setpoint signal to the smart valve and allows the smart valve to control its valve position without additional input from the BAS. In another embodiment, the AHU includes a master smart valve and a second valve. The BAS provides the temperature setpoint signal to the master smart valve, which in turn provides another temperature setpoint signal to the second valve. The second valve may take the form of a slave smart valve or a slave non-smart valve.

Abstract: An air unit includes a coil located in an air stream of the air unit. The air stream has an air flow direction. An air temperature sensor is located in the air stream of the air unit and is further located downstream, relative to the air flow direction, of the coil. A smart valve is in fluid communication with the coil and in electronic communication with the air temperature sensor. The smart valve is operable to control an amount of water flow through the coil. The smart valve receives a temperature setpoint signal, and the smart valve is programmed to modulate a valve position of a smart valve actuator based on the temperature setpoint signal and based on a signal from the air temperature sensor.

Abstract: The present invention includes methods for determining a predicted building heating or cooling load for a future time using historical data points recorded in situ to build analytical models that use predictions of environmental conditions to provide building administrators and systems with an automated prediction of building load over a period of time. In one embodiment, the present invention allows for the automatic creation of a plan of the day by dynamically providing local building systems with a prediction of load from moment to moment that can then be used to make maximally efficient HVAC equipment operation choices. Additionally, this invention provides a method to predict and model building energy usage using a K-nearest neighbors analytical model or a linear regression model.

Abstract: An air handler unit (AHU) in communication with a building automation system (BAS) or through direct programming of one or more smart valves within the AHU operates to meter an amount of water that flows through a coil in the AHU. In one embodiment, the BAS transmits a temperature setpoint signal to the smart valve and allows the smart valve to control its valve position without additional input from the BAS. In another embodiment, the AHU includes a master smart valve and a second valve. The BAS provides the temperature setpoint signal to the master smart valve, which in turn provides another temperature setpoint signal to the second valve. The second valve may take the form of a slave smart valve or a slave non-smart valve.

Abstract: An air handler unit (AHU) in communication with a building automation system (BAS) or through direct programming of one or more smart valves within the AHU operates to meter an amount of water that flows through a coil in the AHU. In one embodiment, the BAS transmits a temperature setpoint signal to the smart valve and allows the smart valve to control its valve position without additional input from the BAS. In another embodiment, the AHU includes a master smart valve and a second valve. The BAS provides the temperature setpoint signal to the master smart valve, which in turn provides another temperature setpoint signal to the second valve. The second valve may take the form of a slave smart valve or a slave non-smart valve.