Abstract: According to one embodiment, a method, computer system, and computer program product for mitigating computer fan noise. The embodiment may include retrieving a previously generated baseline profile for a user participating in a real-time e-conference call via a computing device. The embodiment may include identifying real-time hardware and software metrics of the computing device. The embodiment may include calculating a current fan indicative noise (FIN) score for the call based on the baseline profile and the identified metrics. The embodiment may include determining whether the current FIN score is above a threshold value. In response to determining that the FIN score is above a threshold value, the embodiment may include determining whether the computing device is at risk of damage. In response to determining that the computing device is not at risk of damage, the embodiment may include limiting operation of one or more fans of the computing device.

Abstract: A planning method for a power distribution automation system based on a reliability constraint is provided. The method includes: defining installation states of components and principles of a fault isolation, a load transfer and a fault recovery after a branch fault occurs; establishing a reliability evaluation optimization model for a power distribution network based on a mixed integer linear programming, the reliability evaluation optimization model comprising a target function and constraint conditions; solving the reliability evaluation optimization model to obtain an optimum planning scheme; and planning the power distribution automation system based on the optimum planning scheme.

Abstract: A continuous flow manufacturing system includes a tool, configured to hold a part. The system also includes a machine-readable identifier, associated with the tool and encoded with a tool-identification. The system further includes a plurality of workstations. Each one of the plurality of workstations includes a production machine, configured to perform a manufacturing operation on a part, and a reader, configured to read the machine-readable identifier. The system also includes a computing device, configured to retrieve process-data, associated with the tool-identification and a corresponding one of the plurality of workstations, and configured to update the process-data, subsequent to performing the manufacturing operation associated with the corresponding one of the plurality of workstations.

Abstract: The present disclosure relates to methods for determining a maximum power setpoint for a wind turbine comprising: determining an ambient temperature, determining a temperature of one or more wind turbine components and determining a current power output of the wind turbine. The methods further comprise determining the maximum power setpoint based at least partially on a thermodynamic model of the wind turbine components, the ambient temperature, the temperature of the components of the wind turbine and on the present power output of the wind turbine. The present disclosure further relates to methods for determining a setpoint reduction and to wind turbine control systems and wind turbines configured for such methods.

Abstract: A permission-engine computer system receives a request for electronic access by an equipment supplier to a manufacturing facility of a manufacturer to perform a remote support activity for equipment in the manufacturing facility. The permission-engine computer system routes the request to a plurality of predefined approvers and receives approval of the request from the plurality of predefined approvers. In response to receiving approval of the request from the plurality of predefined approvers, the permission-engine computer system signals a gateway computer system of the manufacturer that the request is approved. The gateway computer system automatically creates a connection between an electronic device in the manufacturing facility and a computer system of the equipment supplier in response to approval of the request. The connection is used for the remote support activity.

Abstract: A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.).

Abstract: Methods and systems are disclosed for controlling device movement based on a movement command. Issues on accurately controlling movement of a device such as a programmable robot and rover are addressed by first determining a command type of the movement command, followed by determining specific types of controllers for a high-level controller and a low-level controller based on the determined command type. When the command type is a linear movement, a Proportional-Integral-Derivative (PID) controller is used at the high-level controller and a Proportional/Proportional-Integral (PPI) controller is used at the low-level controller to accurately control a target distance. When the command type is an angular movement, the PPI controller is used at the high-level controller and the PID controller is used at the low-level controller to accurate control the end-heading of the device.

Abstract: Methods for verifying manufacturing data are provided. In some embodiments, a method includes retrieving a fabrication data package including manufacturing data for one or more dental appliances, where the manufacturing data includes one or more treatment stages for repositioning a patient's teeth using the one or more dental appliances. The method can include determining whether there is an error in the manufacturing data of the fabrication data package. In response to a determination that there is an error in the manufacturing data, the method can include requesting a corrected fabrication data package, and transmitting the corrected fabrication data package to at least one fabrication terminal configured to execute a fabrication process for manufacturing the one or more dental appliances.

Abstract: Systems and methods are disclosed for managing power supplied over an electric power grid from at least one power supply source. A coordinator manages communications between at least one server and the at least one power supply source, wherein the server is operable to initiate power commands, wherein the communications comprise an actual amount of power supply available for the electric power grid from the at least one power supply source, and wherein the at least one power supply source is operable to provide power supply to the electric power grid based on the power commands.

Abstract: The present disclosure provides a system of an industrial Internet of Things (IoT) for operation management of an automated guided vehicle (AGV), a method, and a medium. The method includes: obtaining an AGV circuit layout, and adding pre-planned paths of all AGVs to form an AGV operation model; obtaining a feeding time of each material end point within a preset period; assigning an operation speed to each AGV of the all AGVs, calculating an operation track of the each AGV; determining that a current operation process is unqualified when any two of operation tracks reach a same node at a same time; determining a target operation speed combination; recalculating the operation tracks based on the target operating speed combination until the operation process is qualified; and controlling an operation of the each AGV and sending the operation track of the each AGV of the qualified operation process to a user.

Abstract: A building system of a building including one or more memory devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to receive water usage data from one or more network connected water valves, the water usage data indicating water usage by one or more occupants within the building. The instructions cause the one or more processors to derive one or more health metrics indicating physical health of the one or more occupants based on the water usage data and cause one or more pieces of building equipment to perform one or more operations based on values of the one or more health metrics, the one or more operations improving the physical health of the one or more occupants.

Abstract: Provided is a control apparatus, including a control unit, configured to control a control target by a machine learned control model to output an operation amount of the control target according to a state of equipment having the control target provided therein; a prediction unit, configured to predict a future state of the equipment; an adjusting unit, configured to adjust the operation amount based on a predicted result; and an output unit, configured to output an adjusted operation amount to the control target.

Abstract: A method for controlling hardware includes: obtaining equipment sensor data from a plurality of sensors in a time series; obtaining equipment optimization goal data from a plurality of optimization goals in a time series; obtaining historical data on equipment abnormal events and intervention events; obtaining static equipment input parameters; applying at least one time series model to the equipment sensor and optimization data, the historical event data, and the static equipment input parameters, to obtain predicted equipment sensor data; optimizing and controlling hardware operation based on the obtained predicted equipment sensor data; and providing predicted actions for rare event intervention based on the obtained predicted equipment sensor data.

Abstract: A controller and related system and method for controlling a choke for choking fluid flow are configured to take into account non-linear behaviors of the choke, to allow more accurate and effective control of the choke. To obtain a desired pressure drop across a choke valve, the controller is configured to monitor the position of a choke actuator coupled to the choke valve and the pressure at the inlet of the choke valve. The controller calculates an adaptive proportional gain coefficient, and optionally adaptive integral and derivative coefficients, based on the choke actuator position, to help mitigate the effects of non-linear behaviors of the choke and, where necessary, based on the inlet pressure, the controller calculates an augmentation correction to address any instability in the choke. The controller then commands the choke actuator accordingly to adjust the flow area through the choke valve.

Abstract: Systems, devices, and methods including selecting one or more sequences of machining types for a feature of one or more features, where the selection of the one or more sequences of machining types is based on the feature and a database of prior selections of machining types; selecting one or more tools for the selected one or more sequences of machining types, where the selection of the one or more tools is based on the feature, the selected one or more sequences of machining types, and a database of prior selections of one or more tools; and selecting one or more machining parameters for the selected one or more tools, where the selected machining parameters are based on the feature, the selected one or more sequences of machining types, the selected one or more tools, and a database of prior selections of one or more machining parameters.

Abstract: In order to provide an estimation apparatus estimating a true value from observation data without determining a state equation for a target to be controlled, the estimation apparatus includes a prediction section and an update section. The prediction section executes linear prediction on time-series data, which includes observation values acquired from a sensor attached to the target to be controlled, to calculate an estimate value before update relating to a state of the target to be controlled. The update section updates the estimate value before update by using the observation value acquired from the sensor. The prediction section may calculate the estimate value before update by weighted linear prediction on the time-series data of the observation values.

Abstract: A method for controlling a manufacturing of final metal product(s) from intermediate metal product(s) is implemented by an electronic controlling device and comprises, for each intermediate metal product acquiring (110) a set of intermediate characteristic(s) (CIP) for said intermediate metal product; determining (120) a current estimated set of final characteristic(s) (Cest_cur) with a prediction model, according to the set of intermediate characteristic(s) and a current manufacturing route; comparing (130) the current estimated set of final characteristic(s) with a current target set of final characteristic(s) (Ctarget_cur); and if a deviation between the current estimated set of final characteristic(s) and target set of final characteristic(s) is above a threshold obtaining (140) new target set(s) of final characteristic(s) (Ctarget_new) for new final metal product(s); and calculating (150) a new manufacturing route according to the set of intermediate characteristic(s) and to the new target set(s) of fina

Abstract: An object is to provide a function of managing data exchanged with an external device. A control device defines a publishing setting of a process value in accordance with information on one or both of an execution result of a control program and an operating state of the control device. The control device exchanges a data set including a part of one or more process values with the external device in accordance with the defined publishing setting.

Abstract: An industrial development hub (IDH) supports industrial development and testing capabilities that are offered as a cloud-based service. The IDH comprises an enhanced storage platform and associated design tools that serve as a repository on which customers can store control project code, device configurations, and other digital aspects of an industrial automation project. The IDH system can facilitate discovery and management of digital content associated with control systems, and can be used for system backup and restore, code conversion, and version management.

Abstract: An energy management system and methods of using the same are disclosed. The energy management system is configured to distribute power plant tasks. Energy management system tasks are received at the energy management system. At least a portion of the received tasks are passed over a network from the energy management system to a power plant lead controller in a cluster of nodes, the cluster of nodes comprising electronic devices configured to control power plant equipment, the cluster of nodes comprising the power plant lead controller and a plurality of power plant follower controllers, the cluster of nodes configured to provide a plurality of combinations of redundancy to control power plant equipment. The power plant lead controller delegates, in real time, tasks to the plurality of power plant follower controllers. At least one of the cluster of nodes is configurable to be in hot standby mode.