A function to optimize factory management using information on operation ability and capability of an operator and a machine is provided.

Provided is a factory management device which makes a plan for a factory, the device including a storage unit which stores operator measurement information obtained by measuring a movement of an operator and machine measurement information obtained by measuring a predetermined value which indicates an operating state of a machine that is production equipment of the factory, an operator ability prediction unit which predicts changes in operation ability of the operator using the operator measurement information, a machine capability prediction unit which predicts changes in operation capability of the machine using the machine measurement information, a production capacity prediction unit which predicts a production capacity of the factory using prediction of changes in the operation ability and capability of the operator and the machine, and a planning unit which makes a plan for the factory that satisfies a predetermined productivity index using the predicted production capacity of the factory.

Disclosed are a method and apparatus for controlling a device in the Internet of Things, and a gateway device and a storage medium, which relate to the technical field of the Internet of Things. The method comprises: acquiring remote access attribute information of all resource links, wherein the remote access attribute information is used for indicating whether a corresponding resource link is allowed to be remotely accessed; when there is a first resource link, remote access attribute information corresponding to the first resource link indicates that the first resource link is allowed to be remotely accessed, and an operation request sent by a client device on the basis of the first resource link is received, triggering a server device to execute a functional operation corresponding to the first resource link.

A method of the present disclosure includes (a) retrieving from a memory a plurality of measured values of the factor variable, and a label indicating good or bad of the quality corresponding to each of the plurality of measured values, (b) dividing a factor variable space defined by the factor variable into a plurality of grids by equally dividing a range determined by a maximum value and a minimum value of the plurality of measured values for each factor variable, (c) setting a plurality of candidate areas each of which includes one grid or a plurality of adjacent grids, and deriving, for each of the plurality of candidate areas, a good density based on the label associated with the measured value that is within the candidate area, and (d) selecting one of the plurality of candidate areas as the factor variable area, based on the good density.

The present disclosure relates to an Industrial Internet of Things (IoT) and a method for controlling a balance rate of a production line. The Industrial IoT includes an user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence, the service platform adopts a centralized arrangement, the management platform adopts an independent arrangement, and the sensor network platform adopts a rear sub-platform arrangement.

The present disclosure provides a method for fabricating an integrated circuit (IC). The method includes receiving an IC layout having active regions, conductive contact features landing on the active regions, and a conductive via feature to be landing on a first subset of the conductive contact features and to be spaced from a second subset of the conductive contact features; evaluating a spatial parameter of the conductive via feature to the conductive contact features; and modifying the IC layout according to the spatial parameter such that the conductive via feature has a S-curved shape.

A reversible fuse support block includes a molding, a terminal, and a fuser interface. The molding may be installed within a housing in a first position and a second position, wherein the second position is rotated 180 degrees relative to the first position. The terminal couples to the molding and includes a plurality of apertures disposed in a pattern. The fuse interface receives a first end of a fuse. The fuse interface couples to the terminal in a first arrangement and a second arrangement such that when the fuse interface is installed in the first arrangement and the molding is installed in the first position, the fuse interface is disposed in substantially the same position relative to a corresponding fuse interface on a fuse support block as when the fuse interface is installed in the second arrangement and the molding is installed in the second position.

In order to monitor the operational status of a plant, a plant monitoring apparatus 10 includes: a control program acquisition unit 11 configured to acquire a control program for controlling the plant on the basis of sensor data from a sensor installed in the plant; a causal relationship extraction unit 12 configured to extract, from the control program, causal relationships between a plurality of signals that are used in the plant; a causal relationship specification unit 13 configured to specify the current state of the plurality of signals and compare the specified state and the extracted causal relationships to specify a causal relationship corresponding to the specified state; and a display unit 14 configured to display the specified causal relationship on a screen.

In in-process inspection or calibration of a print bed or 3D printed part with a 3D printer, toolpaths defining printing material shells for deposition by a 3D printer are compared to surface profile scans from a range scanner to identify differences between the print bed, instructed deposition and the measured result, permitting pausing or alteration of the toolpaths or printing process.

A system for controlling an operation of a machine including a plurality of actuators assisting one or multiple tools to perform one or multiple tasks, in response to receiving an acoustic mixture of signals generated by the tool performing a task and by the plurality of actuators actuating the tool, submit the acoustic mixture of signals into a neural network trained to separate from the acoustic mixture a signal generated by the tool performing the task from signals generated by the actuators actuating the tool to extract the signal generated by the tool performing the task from the acoustic mixture of signals, analyze the extracted signal to produce a state of performance of the task, and execute a control action selected according to the state of performance of the task.

A wire electrical discharge machine includes: a drive control unit for moving a wire electrode relative to a workpiece along a machining path; a path determination unit for determining whether or not the machining path includes a linear path section that crosses a boundary line between a thick portion and a thin portion of the workpiece; and a path compensator for compensating the machining path so as to form, in the thin portion, a protrusion projecting outward from the boundary line when the path determination unit determines that the linear path section is included.