Abstract: A building management system includes one or more processing circuits. The one or more processing circuits are configured to receive, from a physical building device of a building, environmental inputs and environmental outputs of the physical building device; generate a building device digital twin for the physical building device based on the received environmental inputs and the received environmental outputs; generate a predicted future performance of the physical building device based on the building device digital twin; and generate a recommendation based on the predicted future performance of the physical building device, the recommendation indicating one or more changes to implement on the physical building device. The building device digital twin is a model for predicting the behavior of the physical building device ore changes to implement on the physical building device.

Abstract: A valve state grasping system that can be easily retrofitted to any of various existing or operating valves (rotary valves) and actuators, and in particular, even facilities to which commercial power is not supplied, and allows detailed and accurate state grasping and diagnosis or failure prediction for the valve or actuator. The valve state grasping system is configured to perform, based on angular velocity data of a valve stem which opens and closes the valve, state monitoring, diagnosis, and life prediction of this valve. To the valve stem, a monitoring unit having at least a semiconductor-type gyro sensor is attachably and detachably fixed. The angular velocity data includes angular velocity data acquired from this monitoring unit in accordance with a rotational motion of a valve body from being fully open or fully closed to fully closed or fully open.

Abstract: A method for providing an analytical artifact used for development and/or analysis of an investigated technical system of interest comprised of components having associated machine readable functional descriptions including port definitions and component failure modes processed to generate automatically the analytical artifact in response to at least one applied system evaluation criterion.

Abstract: An automated or semi-automated beer brewing system may adjust a brewing session based on data collected during the brewing session. The adjustments may attempt to achieve a set of desired taste characteristics, even though a brewing session may then deviate from an intended recipe. A performance model of the brewing system may include taste characteristic effects and operational aspects of an automated brewing system, and may be used to calculate changes to various brewing steps. A control system may analyze various measured parameters to determine deviation from an intended recipe, and may use the performance model to calculate updated brewing steps that may attempt to achieve the desired result. When such measured parameters indicate a malfunction, a brewing session may be paused or terminated.

Abstract: A heating, ventilation, and air conditioning (HVAC) system includes a compressor having a discharge port and a suction port, a first sensor configured to provide feedback corresponding to a first temperature of the working fluid exiting the compressor proximate the discharge port, a second sensor configured to provide feedback corresponding to a second temperature of the working fluid entering the compressor proximate the suction port, and an automation controller storing data indicative of an operational envelope. The operational envelope defines compressor operation coordinates corresponding to a range of suction temperatures and a range of discharge temperatures inside and outside of a target region of the operational envelope, and the automation controller is configured to control a target range of compressor speeds based on a comparison of the target region to an operation coordinate defined by the feedback from the first sensor and the feedback from the second sensor.

Abstract: This disclosure presents a method, an apparatus, and a non-transitory computer readable medium to synchronize an active load with a microgrid having a plurality of distributed generators. The method comprises obtaining respective reference frames for the active load and each of the plurality of distributed generators. The method further comprises selecting the reference frame of a first distributed generator as a common reference frame for the microgrid. The method further comprises pooling the active load and the other distributed generators of the plurality of distributed generators on the common reference frame of the microgrid. The method further comprises tuning controller parameters of the active load and the plurality of distributed generators so that predefined grid voltage, frequency, and phase values of the microgrid are maintained.

Abstract: Disclosed is a system, method, and computer program product that employs high dynamic range (HDR) image processing and manipulation algorithms for capturing and measuring real-time sky conditions for processing into control input signals to a building's automated fenestration (AF) system, daylight harvesting (DH) system and HVAC system. The photometer comprises a color camera and a fitted fish-eye lens to capture 360-degree, hemispherical, low dynamic range (LDR) color images of the sky. Both camera and lens are housed in a sealed enclosure protecting them from environmental elements and conditions. In some embodiments the camera and processes are controlled and implemented by a back-end computer.

Abstract: A control system includes an energy management system in operation with intelligent, network-connected thermostats located in structures. The thermostats are operable to control heating, ventilation, and air conditioning (HVAC) systems. Control during a demand response (DR) event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function.

Abstract: A system, apparatus, computer program product, and a method for manufacturing an unconsolidated composite material. Sensor data is received from a sensor system for a composite material manufacturing system. The sensor data is received during manufacturing an unconsolidated composite material by the composite material manufacturing system. A set of predicted properties is determined for a number of portions of the unconsolidated composite material using the sensor data. The set of predicted properties is for the number of portions of the unconsolidated composite material as a completed product. A corrective action is performed based on a quality level for the number of portions of the unconsolidated composite material.

Abstract: A precut module with one or more profiling heads and/or circular saws may be provided upstream of a saw module. The precut module may be used to implement a portion of a cut that would otherwise be made by the saw module, thereby reducing the depth of cut required at the saw module. In some embodiments, profiling heads may be used to profile a block that is wider than a desired side board. The block may be cut from the workpiece and sent to the edger. This may provide the same or better wood volume recovery and/or throughput speed than profiling the side board or cutting the side board from a flitch. In some embodiments, cut patterns for the precut module and other machine centers may be calculated and/or selected based on a desired depth of cut at the saw module, desired throughput speed, wood volume recovery, and/or other parameters.

Abstract: The present disclosure includes systems and methods for controlling temperature in an electronic device. An electronic device includes a number of heat-emitting components, a plurality of compartments, and a processor. The processor is configured to identify a temperature in one of the compartments of the electronic device, determine whether the identified temperature in the one compartment exceeds a threshold for the one compartment, and in response to determining that the identified temperature for the one compartment exceeds the threshold, modify, based on the identified temperature, operation of a component of the number of heat-emitting components that is located in the one compartment to reduce the temperature in the one compartment.

Abstract: Systems and techniques are described for monitoring energy use habits of consumers. In some implementations, a method includes obtaining temperature data from a monitored property. An energy model of the monitored property is generated based on the obtained temperature data. The current temperature data is obtained from the monitored property. The current temperature data is provided to the generated energy model to generate a duty-cycle for turning an HVAC system of the monitored property off an on during the on-peak hours. The HVAC system of the monitored property is instructed to cycle off and on during the on-peak hours based on the generated duty-cycle.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating action recommendations modifying physical emissions sources of an entity based on past and modeled emissions for the entity. Specifically, the disclosed system monitors emissions produced by an entity by determining a number of emissions sources corresponding to an entity and a plurality of emissions values for the emissions sources. Additionally, the disclosed system determines a plurality of constraints corresponding to the entity. The disclosed system also determines goals for the entity including target emissions values. The disclosed system utilizes a modified gradient descent model to iteratively adjust emissions values for the physical emissions sources to obtain the target emissions values according to the constraints.

Abstract: Method for operating a redundantly configured automation system which includes has a first subsystem, a second subsystem and a third subsystem, wherein a sequence program is implemented in each of the subsystems of the automation system and is executable in a runtime environment to fulfill automation tasks, and wherein a data memory is implemented in the subsystems in each of the automation systems, where the sequence program includes at least a first subprogram and a second subprogram, the data memory in each of the subsystems includes at least a first submemory and a second submemory, the first subprogram and the first submemory are synchronized with a first synchronization clock between the first and second subsystems, and the second subprogram and the second submemory are synchronized with a second synchronization clock between the first and third subsystems, and where the first and synchronization clocks differ from one another.

Abstract: A vibration suppression device that suppresses vibration of an operation unit in a mechanical system having a natural vibration mode including the operation unit, an actuator unit that operates the operation unit, and an elastic body that couples the operation unit and the actuator unit, the vibration suppression device including a generation means for generating a drive signal for driving the actuator unit, an estimation means for estimating a measurement amount related to the mechanical system, a correction means for correcting the drive signal generated by the generation means on the basis of the measurement amount estimated by the estimation means, and a change means for changing a gain used by the estimation means so that an influence of an increase in a modeling error becomes small in a period in which the modeling error of the mechanical system increases.

Abstract: Provided is a technique configured to cause a first actual operation to be started in a short time when the actual operation of a substrate processing component group is performed a plurality of times. A substrate processing system 10 includes a substrate processing apparatus 11 having a substrate processing component group 20 and a controller 40. The substrate processing component group 20 is configured to perform a test operation and an actual operation. The substrate processing component group 20 has a first substrate processing component and a second substrate processing component. When the actual operation is performed a plurality of times, the controller 40 causes the first substrate processing component to perform the test operation and causes the actual operation of the first substrate processing component to be started after completion of the test operation of the first substrate processing component.

Abstract: A prediction method implemented by a computer, the method includes: receiving a classification model from a server, the classification model being a model for classifying logs of an electronic device into two or more classes, the server being a computer configured to distribute the classification model; calculating, with respect to different time points, a prediction error by using a predicted value outputted by the classification model and an actual measured value observed at each of the different time points; performing sequential machine learning for the classification model to have the prediction error satisfy a certain condition; and when a cumulative sum with respect to the prediction error of the sequential machine learning is equal to or greater than a threshold, requesting the server apparatus to relearn the classification model.

Abstract: A method may include obtaining, at a server or analysis device, sensor data comprising at least one of vibration data and impulse data from one or more sensor devices coupled to a first utility infrastructure; obtaining training sensor data associated with at least one of the first utility infrastructure from a previous time period and one or more second utility infrastructures; comparing the sensor data with the training sensor data associated with the at least one of the first utility infrastructure from the previous time period and the one or more second utility infrastructures; and identifying or predicting a fault occurrence associated with the first utility infrastructure based on the comparing the sensor data associated with the first utility infrastructure to the training sensor data associated with the at least one of the first utility infrastructure from the previous time period and the one or more second utility infrastructures.

Abstract: A method includes estimating a replacement time of a consumable part of a processing device, specifying a timing after substrate processing of the processing device is completed in a period before the replacement time as a replaceable timing of the consumable part, estimating a movement time period required for the part transporting device to move to a position of the processing device requiring the replacement, and estimating a preparation time period required for preparation until the part transporting device moved to the position of the processing device requiring the replacement becomes a state in which the consumable part is replaceable. The method further includes transmitting a replacement instruction to the part transporting device at a timing before a timing that is earlier than the replaceable timing by a total time of the movement time period and the preparation time period, and instructing the replacement of the consumable part.

Abstract: An operation assistance method for presenting a recommended operational action in response to an alert issued in a facility includes: detecting issuance of the alert; extracting, from an alert history storage unit, an issuance history of a same type of alert as the alert of which the issuance or the sign of issuance has been detected; extracting, from an operation history storage unit storing an operation history of the facility, an operational action after issuance of the same type of alert; extracting, from an operational data storage unit storing information indicating an operational state of the facility, information indicating the operational state after the operational action, and verifying an influence of the operational action on the operational state; and presenting the recommended operational action in response to the alert of which the issuance has been detected, based on the extracted operational action and the verified influence.