Abstract: A workpiece data processing method and apparatus are for accurately determining a relationship between production equipment processing parameters/ambient condition data and workpiece quality inspection results.

Abstract: Computing device and method using machine learning to optimize operations of a processing chain of a food factory. The computing device collects data representative of characteristics of a product processed by the processing chain. At least some of the collected data are received from one or more sensor monitoring operations of the processing chain. The computing device determines at least one product characteristic value based on the collected data. The computing device executes the machine learning inference engine, which uses a predictive model for inferring command(s) for controlling processing appliance(s) of the processing chain based on inputs. The inputs comprise the at least one product characteristic value. The computing device transmits the command(s) to the processing appliance(s) of the processing chain. Examples of product characteristic values comprise: a product temperature, a product humidity level, a product geometric characteristic, a product weight, and a product defect measurement.

Abstract: A system and method for optimizing industrial assembly process in an industrial environment is disclosed. A system operates on artificial intelligence (AI) based conversational/GUI platform, where it receives user commands related to industrial assembly process improvement queries. By analyzing received user commands, system identifies type of industrial assembly process mentioned by extracting relevant keywords or other attributes. Using trained AI-based classification table, system determines performance attributes associated with identified type of process. The system leverages various sources such as domain knowledge, organization-specific knowledge bases, data from tools/internet-based services, and statistical measurements from industrial environment.

Abstract: A method of commissioning a field device in an industrial system network includes: a) connecting a field device to an industrial system network; c) providing information about the field device, the information including functional information for the field device; d) utilizing the functional information for the field device to retrieve information relating to a role of the field device in an automation application; f) utilizing capability information relating to a field device type of the field device and the information relating to the role of the field device in the automation application to retrieve a parameter set for the field device for operation in the automation application; and g) downloading the parameter set to the field device.

Abstract: The present disclosure relates to a method of calculating process parameters. which are optimized for processing a workpiece with specific material properties by means of a laser machine, comprising the method steps of: determining material properties for which the process parameters should be optimized; determining preconfigured initial process parameters; executing a re-optimization algorithm until a target objective function is minimized or maximized for calculating optimized material-specific process parameters by accessing a storage with a statistical model, wherein the statistical model is based on Bayesian optimization using Gaussian Processes as priors.

Abstract: A method may include obtaining, from a digital drilling program and by a drilling management network, a drilling operation sequence of the drilling rig. The drilling management network is coupled to a drilling rig, rig equipment, and various electric power generators. The method may further include determining, by the drilling management network, a power management sequence that matches an electric power capacity of the drilling rig to an electric power consumption of the rig equipment. The method may further include executing, by the drilling management network, the power management sequence to the rig equipment and the electric power generators.

Abstract: A plant operating condition setting support system for supporting the setting of an operating condition of a plant that performs a process formed by devices includes: control devices that subject controlled devices to feedback control respectively; and an operating condition setting support device that provides integrated support for the setting of the control devices, which perform feedback control tasks respectively and independently. The operating condition setting support device includes: a measured value multiple acquisition unit that acquires measured values indicating states of the controlled devices, respectively; and a control device adjustment parameter determination unit that determines, based on the measured values acquired, control device adjustment parameters used by each of the control devices to determine manipulation variables for control that should be input to the controlled devices, according to a policy learned by deep reinforcement learning.

Abstract: The present disclosure provides an Industrial Internet of Things, a control method and storage medium for sheet workpiece processing. The Industrial Internet of Things includes a detecting module and a processing module; the detecting module is configured to detect a machining process of a sheet workpiece to obtain detection information; and the processing module is configured to adjust a production device based on the detection information. By detecting and adjusting a sheet workpiece, on the one hand, the present disclosure can effectively improve the subsequent processing accuracy of the sheet workpiece, on the other hand, the present disclosure can simplify an adjustment process and improve the adjustment efficiency of a bearing mechanism of a target sheet workpiece.

Abstract: A controller for performing synchronization control over the master axis and the slave axis to follow an electronic cam profile includes a reference position calculator that, in response to power being restored after a power disconnect, obtains a position of the master axis and calculates reference positions of the master axis and the slave axis based on the obtained position of the master axis, a position of the master axis at cam synchronization, and the electronic cam profile, and a return control unit that performs return control to determine a position of the slave axis corresponding to a current position of the master axis based on the current position of the master axis, the electronic cam profile, and the reference positions of the master axis and the slave axis calculated by the reference position calculator, and that moves the slave axis to the determined position.

Abstract: A control apparatus of the present invention is a control apparatus included in a distributed control system. The control apparatus includes a time synchronization unit configured to synchronize the control apparatus with another control apparatus included in the distributed control system in terms of time, a communication unit configured to receive information from the other control apparatus, an information holding unit configured to add synchronization time information to the information and hold the resulting information, an area setting unit configured to set an area of the information holding unit according to a time difference of the information, an information selection unit configured to select shared data from the information stored in the information holding unit, and a shared data storage unit configured to store the shared data selected by the information selection unit.

Abstract: A control system includes a control device, one or more information processing devices, and an arithmetic unit. The control device executes a control program controlling a control target while managing process data of the control program, and includes a communication processor that periodically transmits one or more data sets, each data set including a value of one or more process data. The information processing devices executes one or more applications using the process data included in the data sets. The arithmetic unit determines a transmission setting of the data set, and includes an acquirer that acquires the process data for each application, and a determiner that determines a number of data sets transmitted by the communication processor and the process data to be included in each data set according to an evaluation criterion regarding a communication load based on the process data for each application.

Abstract: The present disclosure relates to an Industrial Internet of Things (IoT) system for controlling a production line parameter and a control method thereof. The Industrial IoT system 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.

Abstract: A determination apparatus includes circuitry to receive operation information corresponding to an action being performed by a machine to be diagnosed and a detection signal of a physical quantity that changes according to the action of the machine; take out, from the detection signal, an operation detection signal indicating that the machine is operating, based on the operation information; extract feature information of the operation detection signal; select, from the feature information, particular feature information to be compared with a plurality of reference feature information; and determine a machining section of the machine in the feature information, based on the plurality of reference feature information and the particular feature information.

Abstract: The present disclosure discloses an Industrial Internet of Things (IIoT) system for automatic control of production line manufacturing parameters, which comprises a user platform, a service platform, a management platform, a sensor network platform and an object platform that interact in turn. The service platform adopts centralized layout, and the management platform and the sensor network platform adopt independent layout. The present disclosure also discloses a control method of the IIoT for automatic control of production line manufacturing parameters.

Abstract: Sensitivity calculations are provided of a process model through the rate of change of a model fingerprint with respect to process variables and defects. A fingerprint sensitivity table is generated, where process variables are associated with a set of fingerprint sensitivities. The fingerprint of incoming substrates is monitored through a production process by applying the same fingerprint method that is used in the process model. Calculations are made of the difference between the incoming substrate fingerprint and the process model predicted fingerprint. This difference fingerprint is compared against the table of fingerprint sensitivities to find the process variable most likely to be responsible for the difference. Spatial relationships between process variables and actual measurements on the substrate may be obtained. Correlation through fingerprint sensitivity improves the ability to pinpoint faulty process tools. The difference fingerprint may also identify the formation of defects on a substrate.

Abstract: The present disclosure discloses a system of an industrial internet of things for industrial production control and a method. The system of industrial internet of things includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact in turn. The service platform adopts a centralized layout, and the management platform and the sensor network platform adopt a front sub platform layout. The user platform generates product manufacturing parameters of a production line, and transmits them in a form of instructions through the service platform, the management platform, and the sensor network platform. The sensor network platform finally integrates the received instructions with the real-time manufacturing data of the product to form different types of configuration files, and transmits them to the object platform, so that the object platform can perform production control processing based on the received data.

Abstract: An industrial automation system includes a collector component communicatively coupled to a first network and configured to receive one or more event logs via a first communication protocol. The industrial automation system also includes a first industrial automation component communicatively coupled to the first network and the collector component. The first industrial automation component is configured to communicate via the first communication protocol. Additionally, the industrial automation system includes a second industrial automation component configured to communicate via a second communication protocol, generate a first event log representative of a property associated with the second industrial automation component, and send the first event log to the first industrial automation component.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage medium, for controlling operations of machine tool workstations. Machine tool workstations are grouped into functional groups. Neural networks corresponding to the functional groups are trained to process respective inputs representing parts to be processed to generate respective outputs representing sequences of ordered subsets of the parts that produce a reduced setup time for workstations in the functional groups. Data representing respective collections of parts to be processed by workstations included in the functional groups is processed using the trained neural networks to generate corresponding sequences of ordered subsets of the collection of parts. Average delay times associated with the generated sequences of ordered subsets of the collection of parts are computed.

Abstract: A method for configuring a modular safety switching apparatus having electronic modules comprises: a) selecting a configuration data set of the apparatus from a database and transmitting the configuration data set to a computing apparatus, wherein the configuration data set is processed by a computer program to generate a target configuration of the apparatus and the electronic modules; b) displaying the target configuration; c) plugging one of the electronic modules into one of the module slots of the module row; d) setting a rotary switch position of one or more rotary switches of the electronic module; e) determining an actual configuration of the electronic module configured according to c) and d); f) comparing the actual configuration with the target configuration; g) displaying whether a deviation exists between the actual configuration and the target configuration; and h) repeating c) to g) for each additional electronic module.

Abstract: An industrial automation system may include a first computing device that may receive operational technology (OT) data from industrial automation devices of an industrial automation system, determine identities of the industrial automation devices based on the OT data, determine that the OT data includes data attributes having variations as compared to additional OT data, transmit the identifiers and the data attributes to a second computing device in response to determining that the data attributions have the variations, receive containers including updated digital representations of the industrial automation devices from the second computing device, execute the containers to output additional data attributes, and send commands to the industrial automation devices to modify processes based the additional data attributes.