Abstract: A method and apparatus for optimizing operation simulation of a data center are disclosed, and the method includes: constructing a data center simulation model; acquiring a state data set and an action data set of the data center; inputting the state data set and the action data set into a first state prediction model to obtain a next state data set; judging whether the next state data set meets a state safe judgment condition; if so, inputting the state data set and the action data set into a second state prediction model to obtain a next state data set; optimizing network parameters of a reinforcement learning algorithm; and determining an action data set corresponding to a real-time state data set of the data center by using the trained reinforcement learning algorithm.

Abstract: A controller is a controller forming, with another controller, a redundant controller. The controller includes a communication function unit that performs communication with an external device capable of executing control calculation needed for process control for a plant, and a redundancy management unit that switches states of the controller between an active state where a result of the control calculation obtained from the external device via the communication function unit is reflected in the process control and a standby state where the result of the control calculation is not reflected in the process control. The redundancy management unit switches the states of the controller to bring one of the controller and the another controller into the active state.

Abstract: A predictive control method and system are provided for controlling a device or system. The control method and system involves receiving a setpoint signal as input; and performing closed loop control of the device or system by outputting a control signal according to the setpoint signal and a response model of the device or system using a predictive control algorithm. The predictive control algorithm is configured to implement control according to a polynomial representation for regulation, sensitivity and tracking and further implement non-linearity or time delay compensation using the response model. The closed loop control is tunable using an adjustable single parameter for accelerating or decelerating the closed loop control relative to an open loop control scenario.

Abstract: Element actions of actuators incorporated in an automated manufacturing machine are stored in a manner associated with program elements to perform the element actions. An action chart is used to describe an operation of the automated manufacturing machine, with one element action having an end linked to a start of another element action using a logical operation. The action chart describing the operation of the automated manufacturing machine is read. The element actions on the action chart are converted into the program elements. The program elements are combined together in accordance with the action chart. This allows automatic generation of a control program for controlling the operation of the automated manufacturing machine.

Abstract: The invention relates to a method for outputting a manufacturing file for producing an optical element (100) from a curable material (50) by using an additive manufacturing technology, comprising the steps of:—acquiring the desired geometry of the optical element,—obtaining a discretization of the desired geometry in volume units described by data relative to position parameters of the volume units and to the dimension of the volume units,—associating at least a volume unit with a kinetic parameter that relates to the curing pace imposed to the curable material of the volume unit,—producing, using at least one processor, a manufacturing file comprising said data and said kinetic parameter for manufacturing at least the optical element, and—outputting said manufacturing file.

Abstract: A method of manufacturing a dental restoration including a construction step (S2) of preparing construction data for a dental tool machine for machining the dental restoration from a workpiece. The construction data defines at least the geometry of the dental restoration within the workpiece. The method includes a starting step (S3) of starting machining of the dental restoration from the workpiece in accordance with the construction data. The method also includes a preparing step (S4) of starting preparing, before termination of the construction step (S2), the dental tool machine at least through equipping it with all the consumables essential for starting the starting step (S3), and completing preparing the dental tool machine before start of the starting step (S3).

Abstract: A computer-implemented resource management method for modular plants may include: receiving data identifying a required module type to be assembled into the modular plant as part of a module pipeline including one or more modules; and executing an optimization algorithm to select, from a plurality of modules having the required module type, a module for inclusion in the module pipeline on the basis of one or more predetermined optimization criteria.

Abstract: A computer-implemented method for determining automatically a machine safety and/or a product quality of a flexible cyber-physical production system with a configuration adaptable during a production process including production steps executed by machines forming equipment of a physical factory of the cyber-physical production system to produce a product according to a product recipe, wherein the machine safety and/or product quality are calculated during runtime of the flexible cyber-physical production system by processing a meta-model of the flexible cyber-physical production system stored in a computer readable storage medium, is provided.

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.