Abstract: Some embodiments include a debugging method for a servo drive system having a driver, a servo motor, and a transmission mechanism with a base having a first identification code, wherein a load with a second identification code is applied to the transmission mechanism. An example includes: acquiring a real-time video of the transmission mechanism and the load from a mobile terminal and identifying the first and the second identification code from the real-time video; calculating a relative position of the load in a coordinate system of the base using the identified identification codes; accepting a user's movement operation for the transmission mechanism on the mobile terminal; and if the transmission mechanism moves in response to the operation, calculating a pulse equivalent according to a position of the load in the coordinate system of the base and an encoder pulse, and writing the equivalent into the driver.

Abstract: Examples of the present disclosure provide a parameter optimization method, device and computer readable storage medium. The method includes: establishing a one-to-one functional relationship between each parameter and each performance index; determining each current correlation coefficient between the parameter and each performance index based on the one-to-one function relationships; obtaining a current weight of each performance index; according to current weights and current correlation coefficients, obtaining a current influence coefficient of each parameter on a comprehensive performance of the performance indexes; and determining important optimization parameters according to the current influence coefficient; for each two parameters, calculating a current correlation coefficient of the two parameters, and determining an adjustment parameter; and performing parameter optimization based on the important optimization parameters and the adjustment parameters.

Abstract: Provided is an artificial intelligence (AI) computing device applied to an industrial automation system. The AI computing device is connected to a field bus via a field bus interface and is communicated with a controller. The AI computing device processes data sent by the controller by using a built-in AI computing architecture, analyzes the data, and sends the analysis result to the controller. Also provided are a corresponding method and apparatus, an engineer station, and an industrial automation system.

Abstract: The present disclosure provides a method for remote assistance and device. 1. A method for remote assistance, the method comprising: determining a state of a machine deployed at a working site; adjusting a digital twin of the machine to be in the same state as the machine deployed at the working site; rendering the digital twin at a remote site using a remote rendering device to enable a remote person at the remote site to perform an operation on the digital twin; and mapping an effect of the operation rendered as visual assistance information onto the machine at the working site using a local rendering device deployed at the working site.

Abstract: Examples of the present disclosure include methods and/or systems for fault diagnosis and solution recommendation. A method may include: obtaining original data including fault problem of a target device; analyzing the original data including fault problem to obtain problem description information; analyzing the problem description information to obtain a diagnosis report; and, according to the diagnosis report, obtaining a video and/or document solution for the fault based on a cloud knowledge map, and recommending the solution to a user. The knowledge map comprises: nodes representing the fault, video solution and/or document solution, and multiple edges representing the relationship between nodes.

Abstract: Examples of the present disclosure provide a parameter optimization method, device and computer readable storage medium. The method includes: establishing a one-to-one functional relationship between each parameter and each performance index; determining each current correlation coefficient between the parameter and each performance index based on the one-to-one function relationships; obtaining a current weight of each performance index; according to current weights and current correlation coefficients, obtaining a current influence coefficient of each parameter on a comprehensive performance of the performance indexes; and determining important optimization parameters according to the current influence coefficient; for each two parameters, calculating a current correlation coefficient of the two parameters, and determining an adjustment parameter; and performing parameter optimization based on the important optimization parameters and the adjustment parameters.

Abstract: The present disclosure provides a method for remote assistance and device. 1. A method for remote assistance, the method comprising: determining a state of a machine deployed at a working site; adjusting a digital twin of the machine to be in the same state as the machine deployed at the working site; rendering the digital twin at a remote site using a remote rendering device to enable a remote person at the remote site to perform an operation on the digital twin; and mapping an effect of the operation rendered as visual assistance information onto the machine at the working site using a local rendering device deployed at the working site.

Abstract: Various embodiments include methods for intelligently providing recommendation information. For example, the method may include: determining user attribute parameters corresponding to a user identifier; determining a score value corresponding to the user identifier by inputting the user attribute parameters into a scoring model; determining recommendation information corresponding to the user identifier based on the score value and a knowledge graph related to the user; and providing the recommended information.

Abstract: Various embodiments include a fault diagnosis method for a rotating motor. The method may include: obtaining a time-domain acceleration signal of the rotating motor along a vibration direction and a rotation period of the rotating motor; converting the time-domain acceleration signal into a time-domain velocity signal, cutting off a plurality of velocity signal segments along the time-domain velocity signal by taking the rotation period as a step size, and arranging the plurality of velocity signal segments in sequence to obtain a velocity signal matrix; converting the velocity signal matrix into an image; and inputting the image into a trained neural network model to obtain a fault diagnosis result.

Abstract: A method, a component, and an electronic device relating to the field of industrial automation technology, particularly relating to the creation of a human machine interface, and are used for automatically creating an HMI of a system. The method for creating an HMI comprises: a first component of a system receives, via an HMI, a first command for creating an HMI for the system; the first component obtains, from each searched and found second component of the system an HMI resource of each of the second components; and the first component creates, on the basis of an HMI resource of the first component and the obtained HMI resource from each of the second components, the HMI for the system. One component of the system collects the HMI resource of another component of the system and creates the HMI for the whole system, providing a method for automatically creating the HMI for the system.

Abstract: Provided is an artificial intelligence (AI) computing device applied to an industrial automation system. The AI computing device is connected to a field bus via a field bus interface and is communicated with a controller. The AI computing device processes data sent by the controller by using a built-in AI computing architecture, analyzes the data, and sends the analysis result to the controller. Also provided are a corresponding method and apparatus, an engineer station, and an industrial automation system.

Abstract: An industrial controller for automatically creating user interfaces, is configured to collect information generated when an industrial system submodule is operating, extract operation parameters of interest from the information generated when the industrial system submodule is operating, and create a user interface to reproduce the operation parameters of interest according to the extracted operation parameters of interest. The industrial controller can also re-create a user interface according to a parameter update input or a custom configuration input of a user. The industrial controller can automatically create a user interface without the need to manually parse the parameters, thereby realizing flexible interface settings. A user interface can be created in a web-based mode so that user access is not limited by locations and is flexible and convenient.

Abstract: A method is for executing an application in a cloud system. The method includes receiving a request from a first user for executing an application in the cloud system; receiving, from the first user, user data of the first user related to the execution of the requested application; storing the received user data in a first storage area of a computing environment of the cloud system; in the computing environment, executing the requested application based on the stored user data of the first user to obtain an execution result; and storing the execution result in a second storage area of the computing environment, the access permission of the first user to the first storage area being a write-only permission, and the access permission of the first user to the second storage area being a read-only permission. As such, data privacy protection and security can be provided in the cloud system.

Abstract: An industrial controller for automatically creating user interfaces, is configured to collect information generated when an industrial system submodule is operating, extract operation parameters of interest from the information generated when the industrial system submodule is operating, and create a user interface to reproduce the operation parameters of interest according to the extracted operation parameters of interest. The industrial controller can also re-create a user interface according to a parameter update input or a custom configuration input of a user. The industrial controller can automatically create a user interface without the need to manually parse the parameters, thereby realizing flexible interface settings. A user interface can be created in a web-based mode so that user access is not limited by locations and is flexible and convenient.

Abstract: A method, a component, and an electronic device relating to the field of industrial automation technology, particularly relating to the creation of a human machine interface, and are used for automatically creating an HMI of a system. The method for creating an HMI comprises: a first component of a system receives, via an HMI, a first command for creating an HMI for the system; the first component obtains, from each searched and found second component of the system an HMI resource of each of the second components; and the first component creates, on the basis of an HMI resource of the first component and the obtained HMI resource from each of the second components, the HMI for the system. One component of the system collects the HMI resource of another component of the system and creates the HMI for the whole system, providing a method for automatically creating the HMI for the system.

Abstract: A method and apparatus for generating machining code of workpieces from a paper engineering drawing are provided. The method includes processing the paper engineering drawing to be a binary image; extracting dimension features and shape features of the workpieces from the binary image; and generating the machining codes of the workpieces based on the extracted dimension features and shape features of the workpieces. The machining codes indicate the dimension and shape of the workpieces. Machining codes of workpieces are generated from a paper engineering drawing directly without manual involvement.

Abstract: A method is for executing an application in a cloud system. The method includes receiving a request from a first user for executing an application in the cloud system; receiving, from the first user, user data of the first user related to the execution of the requested application; storing the received user data in a first storage area of a computing environment of the cloud system; in the computing environment, executing the requested application based on the stored user data of the first user to obtain an execution result; and storing the execution result in a second storage area of the computing environment, the access permission of the first user to the first storage area being a write-only permission, and the access permission of the first user to the second storage area being a read-only permission. As such, data privacy protection and security can be provided in the cloud system.

Abstract: A method and apparatus for generating machining code of workpieces from a paper engineering drawing are provided. The method includes processing the paper engineering drawing to be a binary image; extracting dimension features and shape features of the workpieces from the binary image; and generating the machining codes of the workpieces based on the extracted dimension features and shape features of the workpieces. The machining codes indicate the dimension and shape of the workpieces, Machining codes of workpieces are generated from a paper engineering drawing directly without manual involvement.

Abstract: An automatic control system capable of executing a control program in parallel is described. The system includes more than one unit controller, each executing in parallel at least a part of the program to be executed by the automatic control system; a compiler, connected to one of the unit controllers, for converting the program to be executed by the automatic control system into tasks executed in parallel by the unit controllers; an interconnection network, for connecting the unit controllers, such that information on one of the unit controllers is transferred to another one via the interconnection network.

Abstract: A compiler and method for parallelizing automatic control programs, wherein the method is applied to a Multi-Core Programmable Logic Controller (M-PLC) that includes multiple cores. The method includes the steps of dividing a serial automatic control program to be executed by the M-PLC into multiple program blocks, mapping the automatic control program to a parallelization model using the multiple program blocks, performing parallelization scheduling for the multiple program blocks according to the parallelization model to allocate respective multiple program blocks to the multiple cores of the M-PLC, converting each respective program block allocated to each core into respective machine codes, and downloading the machine codes to the multiple cores for their respective execution.