Abstract: A virtual controller is configured to send control commands to an edge controller such as in I/O module that is connected to a building management system component. The IO module is configured to communicate with the virtual controller and to provide local control commands to the building management system component that are based upon the control commands from the virtual controller when communication with the virtual controller is determined by the IO module to be functioning normally and are based upon one or more fail-safe commands generated by the IO module when communication with the virtual controller is determined by the IO module to not be functioning normally.

Abstract: Systems and methods for producing vehicle components or components for use with vehicles or in other non-vehicle applications allow an end user to select and produce at a local job site, or optionally elsewhere as desired. The system and method can allow a manufacturer or designer to send a design for a component to a consumer for the consumer to produce. The consumer can then use one of a variety of methods, such as three dimensional printing or machining, to produce the component. The consumer can produce a component from a stock data file or can customize the component before production.

Abstract: A building management system includes building equipment operable to affect a physical state or condition of a building, a system manager, and a cloud-based data platform. The system manager is coupled to the building equipment via a system bus and configured to obtain alarm data from the building equipment and generate a timeseries sample including the alarm data. The cloud-based data platform includes a timeseries service configured to receive the timeseries sample from the system manager, extract the alarm data from the timeseries sample, and store the alarm data as a sample of an alarm timeseries.

Abstract: The present disclosure provides a method for anomaly classification for an industrial control system (ICS) communication network based on statistical learning and deep learning. This method designs LSTM deep learning structure parameters and performs modeling analysis based on a large amount of traffic data during normal operation of the ICS communication network; based on real-time communication traffic data thresholds generated by a SARIMA online statistical learning model, designs correlated algorithms to analyze a numerical relationship between background traffic and real-time traffic; and classifies ICS communication network anomalies according to an ICS network anomaly classification algorithm.

Abstract: A system and method that is configured to automatically control a spooling of a drum of a deployment unit used in hydrocarbon recovery operations. The method may comprise obtaining data related to a sensor and measurements system connected to the deployment unit. Processing the data obtained by the sensor and measurements system in a processing unit that makes a stochastic inference. Controlling an auto spooling of the drum of the deployment unit through an auto-spooling controller connected to the deployment unit based upon the stochastic inference.

Abstract: A system, method and apparatus for sensor-based air quality metrics for ventilation performance and infection risk. Virus pathogens can be transmitted through the air, as they attach to airborne droplets or particles (bio-aerosols). A ventilation performance and infection risk can be determined using dynamic air exchange rates based on measured changes in air contaminant levels.

Abstract: A method of processing blood includes receiving from a touch screen user input data for a protocol for a wash procedure. The user input data includes a numeric value. The method includes storing the protocol in a memory, receiving an identifier from a user, determining if the identifier permits the user to modify the protocol and receiving a modification of the protocol from the user. The method includes providing a plurality of authorizations, a second authorization being a default and an administrator authorization permitting the user to change a setting. The method includes comparing a password to a password stored in memory and, if there is a match, determining that the password is associated with an administrator. If a command to change the setting is received, the command is applied to change the setting. The blood is processed employing a wash procedure using the modified protocol and the changed setting.

Abstract: A distributed control system can be used to implement failover capabilities for control units that control well equipment during a well operation. For example, a system can include first well equipment that performs a first physical task and second well equipment that performs a second physical task different from the first physical task. Additionally, the system can include a distributed control system with a first control unit coupled to the first well equipment and a second control unit coupled to the second well equipment. Both control units may include a first control module and a second control module for automatically controlling the first physical task and the second physical task, respectively. The distributed control system can detect a failure of the second control unit and initiate a failover process in which the first control unit takes over control of the second physical task by enabling the second control module.

Abstract: The present invention is to provide 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 non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to perform operations that include receiving operational parameters for one or more automation devices, wherein the one or more automation devices are configured to implement control logic generated based on a decision tree. The operations also include receiving an output by the decision tree based on the operational parameters. Further, the operations include determining the output is an anomalous output based on a constraint associated with the decision tree. Further still, the operations include generating an updated decision tree based on the anomalous output. Even further, the operations include generating updated control logic for the one or more automation devices based on the updated decision tree. Even further, the operations include sending the updated control logic to the one or more automation devices.

Abstract: Methods and systems are disclosed for determining a plan to optimize key performance indicators (KPIs) of an industrial process. Such a plan is determined based on generating a query for information associated with the KPIs and based on receiving user-provided object information corresponding to the KPIs. The method includes receiving, at a user interface, one or more KPIs associated with an industrial process. The method includes generating, based on the one or more KPIs, at least one query for information associated with the KPI. The method includes receiving, at the user interface, a response to the at least one query. The method includes determining, by an artificial intelligence agent, a plan for optimizing the KPI.

Abstract: An anomaly detection apparatus includes a device identification database that stores device identification information for identifying a specific device for each type of a device, a hierarchical conditional vector generation unit that generates a hierarchical conditional vector based on the device identification information, an extraction unit that extracts a target device feature amount vector indicating a feature amount of an acoustic signal acquired from a target device by analyzing the acoustic signal, a hierarchical condition adversarial neural network that outputs background noise level information indicating a background noise level of a surrounding environment of the target device and true/false determination information indicating true/false of the target device feature amount vector by analyzing the hierarchical conditional vector and the target device feature amount vector, and an anomaly determination unit that determines whether an anomaly exists in the target device feature amount vector.

Abstract: A cutting stock method for a rectangular sheet with defects includes: acquiring information of the rectangular defective sheet, including dimension information of the rectangular sheet and target blocks, and location information of the defects; acquiring a cutting position discrete set of the rectangular sheet; cutting the rectangular sheet according to the cutting position discrete set into a plurality of target blocks; calculating a sum of values of the target blocks, and selecting an optimal cutting solution with the largest sum of values; and cutting the rectangular sheet according to the optimal cutting solution.

Abstract: A computer-implemented method and device for resolving closed loops in automatic fault tree analysis of a multi-component system is provided. Also provided is a method for resolving closed loops in automatic fault tree analysis of a multi-component system, the closed loops corresponding, for example, to closed-loop control circuitry of a multi-component device. The closed loops are first identified in a top-down approach within failure propagation paths. Next, the loops are resolved by setting each loop interconnection to Boolean TRUE, adjusting the fault tree in a specific way and finally setting each loop interconnection to Boolean FALSE. Embodiments of the invention are relevant for analyzing safety-critical systems. However, the present concepts are not limited to these applications and may be applied to general use cases where fault tree analysis is applicable. The proposed solution advantageously provides a method that features linear complexity.

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 system comprises a primary unit and a plurality of secondary units each having a unique unit number. The primary unit is configured to communicate a command to each secondary unit with instructions to reply during a time window. The primary unit is also configured to receive a reply communication indicating the secondary unit's unique unit number from at least one of the secondary units, and determine an address to assign to the replying secondary unit based at least in part on the received unique unit number.

Abstract: A nonlinear dynamic control system is defined by a set of equations that include a state vector and one or more control inputs. Via a machine learning method, a sub-optimal controller is derived that stabilizes the nonlinear dynamic control system at an equilibrium point. The sub-optimal controller is retrained to be used as a stabilizing controller for the nonlinear dynamic control system under general operating conditions.

Abstract: Blockchain-enabled industrial devices and associated systems are configured to support the use of industrial blockchains in connection with product and machine tracking, subscription-based industrial services, device lifecycle management, and other functions. Collections of industrial devices can collectively serve as an industrial blockchain system, with multiple such systems within a supply chain yielding an industrial blockchain ecosystem. This architecture can create distributed, decentralized, tamper-proof records of manufacturing statistics for a product, a product's history within the larger supply chain, industrial asset usage histories that can be leveraged in connection with lifecycle management, machine usage history for use in connection with subscription-based machine operation, and other such information.

Abstract: An aircraft refueling system (10) includes a master controller (12), a fleet controller (14) in communication with the master controller, a platform controller (18) in communication with the fleet controller, and a fuel control system (16) in communication with the platform controller. Embodiments of an aircraft refueling system may include a primary pressure controller (20), a secondary pressure controller (22), a programmable logic controller (24), and a data logger controller (26). The master controller may be configured to receive and analyze data from at least one of the fleet controller, the platform controller, and the fuel control system; and to modify operational parameters or upgrade the fuel control system based at least in part on the analysis of received data.

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.