Abstract: An integrated device in an HVAC system is configured to modify an environmental condition of a building. The integrated device includes a valve configured to regulate a flow of a fluid through a conduit and an actuator. The actuator includes a motor and a drive device. The drive device is driven by the motor and coupled to the valve for driving the valve between multiple positions. The integrated device further includes a processing circuit coupled to the motor. The processing circuit is configured to detect device identifying information for the valve or the actuator and to detect the integrated device location within the building.

Abstract: A building system for a building including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to operate one or more pieces of building equipment associated with a building space based on a first operating mode. The instructions cause the one or more processors to receive an indication to update operation of the building space based on an emergency situation and responsive to receiving the indication to update operation of the building space based on the emergency situation, operate the one or more pieces of building equipment based on a second operating mode, wherein the second operating mode defines one or more second parameters for the one or more pieces of building equipment and is adapted to reconfigure the operation of the building space to address or mitigate the emergency situation.

Abstract: Systems and methods for training a reinforcement learning (RL) model for HVAC control are disclosed herein. Simulated experience data for the HVAC system is generated or received. The simulated experience data is used to initially train the RL model for HVAC control. The HVAC system operates within a building using the RL model and generates real experience data. A determination may be made to retrain the RL model. The real experience data is used to retrain the RL model. In some embodiments, both the simulated and real experience data are used to retrain the RL model. Experience data may be sampled according to various sampling functions. The RL model may be retrained multiple times over time. The RL model may be retrained less frequently over time as more real experience data is used to train the RL model.

Abstract: A cascaded control system for coordinating and controlling carbon emissions associated with operating building equipment distributed across a plurality of subsystems includes a first controller configured to generate carbon emissions targets for each of a plurality of subsystems using a predictive control process that accounts for an aggregate carbon emissions of the plurality of subsystems predicted to result from the carbon emissions targets. The cascaded control system also includes a plurality of second controllers, each corresponding to one of the plurality of subsystems and configured to generate control decisions for building equipment of the corresponding subsystem that are predicted to cause the building equipment to achieve the carbon emissions targets for the corresponding subsystem; and operate the building equipment of the corresponding subsystem using the control decisions.

Abstract: An adaptive flow limit controller for controlling a flow rate of a fluid through a heat exchanger includes a processing circuit. The processing circuit is configured to use an adaptive model to determine a threshold flow rate of the fluid through the heat exchanger at which a gradient of a temperature difference of the fluid across the heat exchanger with respect to the flow rate of the fluid through the heat exchanger has a threshold gradient value. The processing circuit is configured to operate a flow control device to maintain the flow rate of the fluid of through the heat exchanger at less than or equal to the threshold flow rate.

Abstract: A method for controlling building equipment includes providing a user interface comprising a graphical representation of a relationship between a carbon emissions control objective and a second control objective that competes with the carbon emissions control objective over a range of control strategies for the building equipment, and assigning a weight to the carbon emissions control objective or the second control objective in an objective function. The weight is associated with a control strategy that corresponds to a user selection based on the graphical representation. The method also includes generating control decisions for the building equipment using the objective function with the weight assigned to the carbon emissions control objective or the second control objective and operating the building equipment in accordance with the control decisions.

Abstract: A freeze protection system for a heating, ventilation, or air conditioning (HVAC) system is shown. The freeze protection system includes a temperature sensor positioned at an inlet of a coil within which a liquid is at risk of freezing, and a controller comprising a processor and memory. The memory stores instructions that are executed by the processor. The processor is instructed to obtain a measured temperature of the liquid at the inlet of the coil from the temperature sensor, compare the measured temperature of the liquid at the inlet of the coil with a freeze prevention temperature threshold, engage a freeze prevention action in response to a determination that the measured temperature of the liquid at the inlet of the coil is less than or equal to the freeze prevention temperature threshold.

Abstract: Systems and methods for providing visualization of health risks within a building. Health risk levels for building spaces are determined using occupancy data and health risk data relating to a risk of contracting or spreading an infectious disease. A visualization of the health risk levels is generated and presented on a user interface.

Abstract: A building control system has a controller including a processing circuit configured to transition between multiple discrete operating states by executing state transitions, generate an adaptive user interface including a representation of the multiple discrete operating states and the state transitions therebetween, and automatically learn one or more learned behaviors or preferences of the user. The processing circuit is also configured to retrieve, from a descriptive text database, a description of a selected operating state or selected state transition based on the one or more learned behaviors or preferences of the user, the descriptive text database storing multiple different descriptions of the selected operating state or selected state transition, and update the adaptive user interface to provide the description of the selected operating state or selected state transition retrieved from the descriptive text database based on the one or more learned behaviors or preferences of the user.

Abstract: A system for controlling a flow rate of a fluid through a valve includes a controller. The controller is configured to receive a raw flow rate measurement from a flow rate sensor assembly configured to measure the flow rate. The controller is further configured to apply a flow rate measurement filter to the raw flow rate measurement to generate a filtered flow rate measurement. The controller is further configured to control actuation of an actuator configured to change the flow rate using the filtered flow rate measurement. The controller is configured to automatically adjust the flow rate measurement filter in response to detecting an event that causes stoppage of the actuation of the actuator.

Abstract: A building manager includes a communications interface configured to receive information from a smart energy grid. The building manager further includes an integrated control layer configured to receive inputs from and to provide outputs to a plurality of building subsystems. The integrated control layer includes a plurality of control algorithm modules configured to process the inputs and to determine the outputs. The building manager further includes a fault detection and diagnostics layer configured to use statistical analysis on the inputs received from the integrated control layer to detect and diagnose faults. The building manager yet further includes a demand response layer configured to process the information received from the smart energy grid to determine adjustments to the plurality of control algorithms of the integrated control layer.

Abstract: A system for controlling a flow rate of a fluid through a valve is provided. The system includes a valve and an actuator. The actuator includes a motor and a drive device that is coupled to the valve for driving the valve between multiple positions. The system further includes a flow rate sensor and a controller that is communicably coupled with the flow rate sensor and the motor. The controller is configured to receive a first flow rate setpoint, determine a first actuator position setpoint using a proportional variable deadband control technique based on the first flow rate setpoint and a flow rate measurement, and receive a second flow rate setpoint. In response to a determination that certain low flow criteria are satisfied, the controller is configured to determine a second actuator position setpoint using the proportional variable deadband control technique based on a low flow compensation setpoint.

Abstract: A method of predicting a time of effect of an intervention of a point of a Building Management System (BMS). The method includes evaluating a first input to determine how an intervention of a point will affect a variable of the BMS; predicting a time at which the intervention will affect the variable of the BMS; presenting feedback to a user via a user interface before implementing the intervention of the point, the feedback comprising the time at which the intervention of the point is predicted to affect the variable; and implementing the intervention or a cancellation of the intervention based at least in part on a second input from the user or an automated response to the feedback. The method allows for users to determine whether to implement proposed interventions in real-time.

Abstract: A freeze protection system for a heating, ventilation, or air conditioning (HVAC) system is shown. The freeze protection system includes a temperature sensor positioned at an inlet of a coil within which a liquid is at risk of freezing, and a controller comprising a processor and memory. The memory stores instructions that are executed by the processor. The processor is instructed to obtain a measured temperature of the liquid at the inlet of the coil from the temperature sensor, compare the measured temperature of the liquid at the inlet of the coil with a freeze prevention temperature threshold, engage a freeze prevention action in response to a determination that the measured temperature of the liquid at the inlet of the coil is less than or equal to the freeze prevention temperature threshold.

Abstract: A method for controlling a plant includes using a neural network modeling technique to calculate a neural network prediction based on plant input data, using a second modeling technique to calculate a second prediction based on the plant input data, and determining whether to use (1) the neural network prediction without the second prediction, (2) the second prediction without the neural network prediction, or (3) both the neural network prediction and the second prediction by comparing a location of the plant input data in a multi-dimensional modeling space to one or more thresholds. The method includes generating a combined prediction using one or both of the neural network prediction and the second prediction in accordance with a result of the determining and controlling the plant using the combined prediction.

Abstract: A system for controlling a flow rate of a fluid through a valve includes a controller. The controller is configured to receive a raw flow rate measurement from a flow rate sensor assembly configured to measure the flow rate. The controller is further configured to apply a flow rate measurement filter to the raw flow rate measurement to generate a filtered flow rate measurement. The controller is further configured to control actuation of an actuator configured to change the flow rate using the filtered flow rate measurement. The controller is configured to automatically adjust the flow rate measurement filter in response to detecting an event that causes stoppage of the actuation of the actuator.

Abstract: A building management system (BMS) operates a plurality of HVAC devices to affect a physical state or condition and detects a fault condition at a second HVAC device affected by the physical state or condition and having causal relationships with the plurality of HVAC devices such that faulty operation of one or more of the plurality of HVAC devices causes a detectable effect at the second HVAC device. The BMS identifies, based on the fault condition, a predetermined set of system parameters corresponding to the fault condition and comprising a plurality of system parameters of the plurality of HVAC devices that are potential causes of the fault condition. The BMS retrieves operating data for the predetermined set of system parameters and transmits a signal to display a user interface comprising the operating data on a display screen.

Abstract: A controller includes a processing circuit comprising one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include determining a gradient of an objective function with respect to a constraint variable used to define a constraint on a control process that uses the objective function and modifying the constraint variable to have a modified value in response to determining that a trigger condition is satisfied. The trigger condition is based on the gradient. The operations include performing the control process subject to the constraint using the modified value of the constraint variable and operating equipment in accordance with a result of the control process.

Abstract: A building management system (BMS) for filtering a fluid within a building is shown. The system includes one or more sensors configured to measure one or more characteristics of a first fluid within an air duct of the BMS and measure one or more characteristics of a second fluid after the second fluid has been filtered. The system further includes a pollutant management system configured to receive data from the one or more sensors and control a filtration process. The filtration process selects a filter of a plurality of filters based on at least one of a level of the one or more characteristics of the first fluid or the one or more characteristics of the second fluid.

Abstract: A building system of a building includes an in-zone plume control system located within a zone of the building, the in-zone plume control system including one or more return air inlets comprising openings to receive one or more air plumes generated by one or more users. The in-zone plume control system includes one or more exhaust outlets configured to exhaust the one or more air plumes, a filter, and a fan configured to draw the one or more air plumes in through the one or more return air inlets, through the filter, and out through the one or more exhaust outlets back into the zone, wherein the filter is configured to filter the one or more air plumes to remove particles from the one or more air plumes before returning the one or more air plumes to the zone.