Abstract: The present invention related to the technical field of industrial automation, in particular to a method and apparatus for generating a fault diagnosis database of a CNC machine tool, intended to conveniently provide comprehensive fault diagnosis information. The method comprises: setting a fault condition of the CNC machine tool; running a simulation model of the CNC machine tool under each set fault condition to generate fault, and recording a fault phenomenon of the fault; backtracking a possible fault generating each fault phenomenon, to establish an association between the fault phenomenon and a possible fault generating the fault phenomenon; generating a fault diagnosis database of the CNC machine tool according to the association established. Due to the fact that what is being run is a simulation model of the CNC machine tool, various fault conditions can be conveniently set.

Abstract: A processor controller includes: a deep neutral network, for extracting, based upon feature information of process control data, from a process control data storage device, process control data available to a production device to be controlled, the feature information of the process control data including at least production device feature parameters and a production device load; and an enhanced neural network, for performing, based upon a process control prediction model, process control prediction by using real-time process control data of said production device. In an embodiment, the process control prediction model is trained by using the extracted available process control data. The process controller further includes a process control decision unit, for determining an operation control instruction for the production device based upon the result of process control prediction.

Abstract: An interconnection device, a communication method, and a system including a robot are disclosed. In an embodiment, the interconnection device includes a first OPC UA interface, configured to establish connection between the interconnection device and an OPC UA device; and an ROS interface, in communication with the first OPC UA interface. The ROS interface includes: at least one ROS node module, configured to perform communication between the OPC UA device and an ROS device; an ROS client library module, configured to provide a function library to be called when the ROS node module performs the communication; and an ROS core module, configured to manage the ROS node module in the ROS interface unit and a node module in the ROS device. Communication between the OPC UA device and the ROS device is achieved via the interconnection device and the communication method.

Abstract: The present disclosure provides a method and an apparatus for adjusting a process control prediction model, and a process controller. In an embodiment, the method includes: determining, based on controlled variable data in process control data obtained through real-time monitoring, whether a prediction performance of the process control prediction model is lower than a reference performance; and when the prediction performance is determined to be lower than the reference performance, using manipulated variable data in the process control data monitored to adjust the process control prediction model. By way of the method, a re-test does not need to be executed to re-identify a model so as to eliminate a mismatch of the process control prediction model, thereby eliminating an influence of fluctuation introduced by addition of an excitation signal during the re-testing.

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: In the technical field of industrial automation, a fault diagnosis method and apparatus for a numerical control machine tool are disclosed which can improve the efficiency of diagnosing faults of numerical control machine tools by utilizing feedback information provided by users. In a fault diagnosis method of an embodiment, the fault diagnosis apparatus receives a fault symptom to be diagnosed from a user terminal, diagnoses the fault for the fault symptom to be diagnosed, returns a fault diagnosis result to the user terminal, receives feedback on the fault diagnosis result from the user terminal, and adjusts the diagnosis policy for the fault symptom to be diagnosed according to the fault diagnosis result if the feedback of the user on the fault diagnosis result indicates that the fault has been cleared.

Abstract: The present invention related to the technical field of industrial automation, in particular to a method and apparatus for generating a fault diagnosis database of a CNC machine tool, intended to conveniently provide comprehensive fault diagnosis information. The method comprises: setting a fault condition of the CNC machine tool; running a simulation model of the CNC machine tool under each set fault condition to generate fault, and recording a fault phenomenon of the fault; backtracking a possible fault generating each fault phenomenon, to establish an association between the fault phenomenon and a possible fault generating the fault phenomenon; generating a fault diagnosis database of the CNC machine tool according to the association established. Due to the fact that what is being run is a simulation model of the CNC machine tool, various fault conditions can be conveniently set.

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 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 production process monitoring system is used to monitor a set of production parameters in a production process of a plurality of production units that perform parallel production operation. The production units comprise at least one reference production unit and at least one distribution production unit. The reference production unit comprises a first sensor, a second sensor, and a reference control unit. The distribution production unit comprises a second sensor and a distribution controller. The first and second sensors of the reference production unit is configured to monitor a first and second parameters in the production parameters in the reference production unit and output a first and second signals corresponding to the first and second parameters. The second sensor of the distribution production unit is configured to monitor the second parameter in the distribution production unit and output a second parameter distribution signal corresponding to the second parameter.

Abstract: A method and device for controlling a fermenting process, wherein the method comprises collecting samples of biological cells from a fermenting tank, obtaining the state information of the current biological cells based on the collected samples, comparing the state information of the current biological cells with preset target status information to obtain the difference between the state information of the current biological cells and preset target state information, and controlling the feed rate of nutritional solution into the fermenting tank. Real time control of biological fermenting process is thus accomplished based on the state information of the biological cells during fermentation, and the consistency during fermentation is improved. Complicated mathematical modeling and man-made data analysis are not required for the method and device.

Abstract: A production process monitoring system is used to monitor a set of production parameters in a production process of a plurality of production units that perform parallel production operation. The production units comprise at least one reference production unit and at least one distribution production unit. The reference production unit comprises a first sensor, a second sensor, and a reference control unit. The distribution production unit comprises a second sensor and a distribution controller. The first and second sensors of the reference production unit is configured to monitor a first and second parameters in the production parameters in the reference production unit and output a first and second signals corresponding to the first and second parameters. The second sensor of the distribution production unit is configured to monitor the second parameter in the distribution production unit and output a second parameter distribution signal corresponding to the second parameter.

Abstract: A method and device for controlling a fermenting process, wherein the method comprises collecting samples of biological cells from a fermenting tank, obtaining the state information of the current biological cells based on the collected samples, comparing the state information of the current biological cells with preset target status information to obtain the difference between the state information of the current biological cells and preset target state information, and controlling the feed rate of nutritional solution into the fermenting tank. Real time control of biological fermenting process is thus accomplished based on the state information of the biological cells during fermentation, and the consistency during fermentation is improved. Complicated mathematical modeling and man-made data analysis are not required for the method and device.