A device for estimating a temperature of a lubricant in a transmission that transmits power from a motor to a robot joint includes a thermometer and a processor. The processor includes hardware configured to: receive, as input from the motor, a current value of the motor and calculate, as output, a motor heat value based thereon; receive, as input from the motor and the transmission, a rotating speed of the motor and a frictional torque of the transmission, and calculate, as output, a frictional heat value in the transmission based on the rotating speed of the motor and at least one of the frictional torque of the transmission and at least one coefficient of friction of the transmission; and receive, as input from the thermometer, the room temperature, the frictional heat value, and the motor heat value and estimate, as output, the estimated temperature of the lubricant based thereon.

An apparatus performs methods for device diagnostics based on signals from digital outputs. The apparatus includes an input/output module with a digital output module to be coupled to a device. The input/output module measures one or more characteristics of a digital signal provided by the digital output module, where at least one of the one or more characteristics of the digital signal is associated with an output current of the digital output module. The input/output module also performs one or more diagnostics using the one or more measured characteristics of the digital signal.

According to an exemplary embodiment of the present disclosure, a computer program stored in a computer readable storage medium is disclosed. The computer program performs operations for processing input data when the computer program is executed by one or more processors of a computer device, the operations including: obtaining input data based on sensor data obtained during manufacturing of an article by using one or more manufacturing recipes in one or more manufacturing equipment; inputting the input data to a neural network model loaded to the computer device; generating an output by processing the input data by using the neural network model; and detecting an anomaly for the input data based on the output of the neural network model.

The present application discloses a goods-handling method and a goods-handling system, where the goods-handling method includes steps of: obtaining working state information and handling instructions of a plurality of machines; executing the handling instructions to handle goods according to the working state information; where the working state information includes capacity information of the machines.

A computing system for building a virtual factory includes database and a virtual factory building module. The database stores modeling data. The virtual factory building module builds the virtual factory in which a progress situation of a work performed from a first portion to a second portion is displayed, based on the modeling data and a time difference between an output time of a first signal and an output time of a second signal, which is calculated based on the first signal output when a product is at a first portion on one or more facilities monitored from a first location present in an outside of the one or more facilities used in a real factory and the second signal output when the product is at a second portion on the one or more facilities monitored from a second location present in the outside of the one or more facilities. The first location is spaced from the second location, and the first portion is spaced from the second portion.

An augmented reality (AR) system for diagnosis, troubleshooting and repair of industrial robots. The disclosed diagnosis guide system communicates with a controller of an industrial robot and collects data from the robot controller, including a trouble code identifying a problem with the robot. The system then identifies an appropriate diagnosis decision tree based on the collected data, and provides an interactive step-by-step troubleshooting guide to a user on an AR-capable mobile device, including augmented reality for depicting actions to be taken during testing and component replacement. The system includes data collector, tree generator and guide generator modules, and builds the decision tree and the diagnosis guide using a stored library of diagnosis trees, decisions and diagnosis steps, along with the associated AR data.

An inspection station for manufactured components includes a framework and a plurality of cameras. The framework has of a plurality of vertically stacked and spaced apart plates. Each plate defines a central orifice. The central orifices of each plate are aligned along an axis. The manufactured components are configured to freefall through the central orifices defined by the plates. The plurality of cameras is secured to the framework. Each camera is focused toward a region within the framework to capture images of the manufactured components. The plurality of cameras is arranged in an array that extends radially about the axis. At least one of the cameras is positioned at an angle above a horizontal plane that is perpendicular to the axis and intersects the region within the framework. At least one of the cameras is positioned at an angle below the horizontal plane.

A method of transmitting data from a manufacturing data originator at a manufacturing facility to a target computing system includes acquiring data indicative of an operation of the manufacturing data originator and associating the data acquired to one or more fields among a plurality of fields of a predefined message schema for a designated message type among a plurality of message types. The method further includes populating values of the fields of the predefined message schema of the designated message type based on the data associated with the fields and on message control data, where the message control data includes a facility identification, a data originator identification, a schema version identifier, or a combination thereof. The method further includes generating a message data string based on the populated fields of the predefined message schema and transmitting the message data string to the target computing system.

A manufacturing system for securely and remotely manufacturing a three-dimensional (3D) object can include the mechanical processing machine, a security module, and a system server. The mechanical processing machine can be configured to manufacture the 3D object. The security module can be configured to transmit the machine instructions to the mechanical processing machine. The system server can include a processor, a memory, and a marketplace subsystem. The memory can have a tangible, non-transitory computer readable medium with processer-executable instructions stored thereon. The marketplace can include a content creator module and a user module. The content creator module can be configured to receive and store at least one of 3D object data, interfacing settings, the machine instructions, and combinations thereof. The mechanical processing machine does not receive the 3D object data.

An inspection station for manufactured components includes a framework and a plurality of cameras. The framework has of a plurality of vertically stacked and spaced apart plates. Each plate defines a central orifice. The central orifices of each plate are aligned along an axis. The manufactured components are configured to freefall through the central orifices defined by the plates. The plurality of cameras is secured to the framework. Each camera is focused toward a region within the framework to capture images of the manufactured components. The plurality of cameras is arranged in an array that extends radially about the axis. At least one of the cameras is positioned at an angle above a horizontal plane that is perpendicular to the axis and intersects the region within the framework. At least one of the cameras is positioned at an angle below the horizontal plane.