Disclosed are systems, servers and methods for improving temperature profile control in a reactor with at least three fixed beds, exothermic reactions and interstage cooling. A model of the temperature differential across the first bed is developed and its error is used to infer unmeasured feed composition disturbances, which are used in the control of the downstream fixed beds for faster response to unmeasured feed composition changes and improved control of the temperature profile throughout the reactor. The first bed model error is then used as an input into an overall model that predicts reactor temperature profiles, which provides advanced notice of reactions in downstream beds, and enables efficient adjustment and compensation to a feed composition change. A Model Predictive Control (MPC) algorithm is applied to adjust the bed intercooling and first bed feed temperature so that the reactor temperature profile can be more precisely controlled.

An apparatus, a method, and a computer program product for cleaning and collecting microplastics and modelling workflow for microplastic autonomous filtration. The apparatus may include a cleaning chamber through which water containing the microplastics flows. The apparatus may also include a transducer configured to generate microbubbles of a size that causes the microbubbles to clean microplastics flowing through the cleaning chamber. The apparatus may also include a filter chamber located above the cleaning chamber, where the filter chamber includes a microplastic collection device operable to collect the microplastics.

A cascaded MPC system includes an upper tier controller and lower tier controller having stored constraints for controlling a process having manipulated variables (MVs), controlled variables (CVs), and conjoint manipulated variable (CMV). The upper tier passes a target value for the CMV to the lower tier which optimizes for determining a local optimal operating point for the MVs, CVs, and CMV, moves towards the target value starting at the CMVs local operating point, and optimizes for identifying of the constraints as selected constraint(s) when the moving is truncated, passes the selected constraint(s) to the upper tier which performs an overall optimization for the process using the selected constraint to generate an optimal value for the CMV that lower tier uses as a new CMV target value for redetermining updated local optimal operating points for the MVs, CVs, and CMV, and for controlling the process utilizing the updated operating points.

A method for controlling HVAC equipment for a building includes generating, based on historical building data, a discomfort tolerance defining an acceptable amount of occupant discomfort, determining a first value of an environmental condition at which the occupant discomfort is predicted to exceed the discomfort tolerance in a first direction, determining a second value of the environmental condition at which the occupant discomfort is predicted to exceed the discomfort tolerance in a second direction opposite the first direction, and controlling the HVAC equipment to maintain the environmental condition between the first value and the second value.

A heating, ventilation, and air conditioning (HVAC) control device configured to receive a user input for controlling an HVAC system, to determine whether the user input indicates an energy saving occupancy setting, and to identify a first plurality of time entries that are associated with a confidence level for a predicted occupancy status that is less than a predetermined threshold value in the predicted occupancy schedule. The device is further configured to modify the predicted occupancy schedule by setting the first plurality of time entries to an away status when the user input indicates an aggressive energy saving occupancy setting. The device is further configured to modify the predicted occupancy schedule by setting the second plurality of time entries to a present status when the user input indicates a conservative energy saving occupancy setting. The device is further configured to output the modified predicted occupancy schedule.

An apparatus, a method, and a computer program product for cleaning and collecting microplastics and modelling workflow for microplastic autonomous filtration. The apparatus may include a cleaning chamber through which water containing the microplastics flows. The apparatus may also include a transducer configured to generate microbubbles of a size that causes the microbubbles to clean microplastics flowing through the cleaning chamber. The apparatus may also include a filter chamber located above the cleaning chamber, where the filter chamber includes a microplastic collection device operable to collect the microplastics.

A heating, ventilation, and air conditioning (HVAC) control device is configured to record a plurality of actual occupancy statuses, to determine a plurality of corresponding predicted occupancy statuses, and to compare the plurality of predicted occupancy statuses to the plurality of actual occupancy statuses. The device is further configured to identify conflicting occupancy statuses based on the comparison. A conflicting occupancy status indicates a difference between an actual occupancy status and a corresponding predicted occupancy status. The device is further configured to identify timestamps corresponding with the conflicting occupancy statuses, to identify historical occupancy statuses corresponding with the identified timestamps, and to update the conflicting occupancy statuses in the predicted occupancy schedule with the historical occupancy statuses.

Systems and methods are provided for monitoring and controlling one or more environmental conditions of a building. The method comprises obtaining feedback from a first sensor at a first location within the building and feedback from a second sensor at a second location within the building. The method further comprises combining the feedback from the first sensor with the feedback from the second sensor in a weighted manner to generate a combined feedback, wherein a weight of the feedback from the first sensor relative to a weight of the feedback from the second sensor is based on a time of day. The method finally comprises operating HVAC equipment to drive the combined feedback toward a setpoint for the building.

An industrial asset may have monitoring nodes (e.g., sensor or actuator nodes) that generate current monitoring node values. An abnormality detection and localization computer may receive the series of current monitoring node values and output an indication of at least one abnormal monitoring node that is currently being attacked or experiencing a fault. An actor-critic platform may tune a dynamic, resilient state estimator for a sensor node and output tuning parameters for a controller that improve operation of the industrial asset during the current attack or fault. The actor-critic platform may include, for example, a dynamic, resilient state estimator, an actor model, and a critic model. According to some embodiments, a value function of the critic model is updated for each action of the actor model and each action of the actor model is evaluated by the critic model to update a policy of the actor-critic platform.

A controller for operating building equipment of a building. The controller includes one or more processors. The controller includes one or more non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include comparing one or more model parameters of predictive models describing zones of the building to determine one or more zone groups for the building. The operations include generating one or more zone group models corresponding to the one or more zone groups. The operations include operating the building equipment using the one or more zone group models to affect a variable state or condition of the building.