Data are sent from an internal data processing system of an industrial plant to an external data processing system of the industrial plant by generating with an industrial edge device data packets from data related to an industrial machine, and generating therefrom signed data packets signed with a first digital signature. While the signed data packet are read, a user-defined data filter is applied, which lets either pass or rejects the signed data packets. The data packets that passed the user-defined data filter are then sent to the external data processing system.

A computer-implemented method for retrieving data that relates to at least one industrial asset includes the steps of: receiving, from a requesting entity, a query for data objects from one or more lifecycle phases of the at least one industrial asset; mapping the query to one or more types of data objects that are available from one or more given data sources relating to the at least one industrial asset; obtaining, from the one or more data sources, one or more data objects of the one or more types; producing, from the one or more data objects, a response to the query; and transmitting the response to the requesting entity.

The present invention relates to a computer-implemented method for performing a chemical engineering process, in particular in an air separation plant or a natural gas plant, wherein a multiplicity of process simulations are performed simultaneously, in the course of each of which the process in the process plant is in each case simulated for a particular application case, wherein each application case is characterized by values of process plant variables and/or values of process parameters, wherein, in the multiplicity of process simulations, values for the process plant variables and/or for the process parameters are determined such that at least one predefined condition is met, wherein free values for process plant variables and/or process parameters are determined, and wherein dependent values for process plant variables and/or process parameters are determined from the free values for process plant variables and/or process parameters.

A method includes accessing, from a data store, at least one predefined data classification for asset data associated with multiple assets in an industrial process control system, wherein the at least one predefined data classification is associated with one or more first policies, wherein the data store stores a plurality of data classifications for asset data. The method also includes receiving user input of a customization to the at least one predefined data classification to generate at least one customized data classification associated with one or more second policies. The method further includes storing the at least one customized data classification in the data store. The method also includes collecting asset data from at least one of the multiple assets. The method further includes processing the collected asset data according to the one or more second policies associated with the at least one customized data classification.

An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be provided to higher level systems together with their corresponding data tag values to high level analytic systems, which discovers insights into an industrial process or machine based on analysis of the data and its modeling data.

The invention relates to the field of operating, monitoring and controlling mills of the mining industry. It specifically relates to a system and a method for in-line determination of the characteristics of worn balls and pieces thereof, which have been ejected from a semi-autogenous mineral grinding (SAG) mill to the external classifiers.

A substrate manufacturing machine (component mounter) includes a substrate type setting section configured to set next and subsequent substrate types to be manufactured subsequently to a current substrate type currently being manufactured, a substrate type checking section configured to check whether the set next and subsequent substrate types are correct, a manufacturing condition investigation section configured to examine whether a manufacturing condition for manufacturing substrates of the next and subsequent substrate types is satisfied, and a manufacturing authorization section configured to authorize manufacturing of the substrates of the next and subsequent substrate types in a case where the next and subsequent substrate types are correct and the manufacturing condition is satisfied.

In a production system, a control unit controls a first apparatus configured to start to operate after a waiting time and a second apparatus configured to starting to operation after a waiting time. A first sensor outputs a value that changes in response to operation of the first apparatus. A second sensor outputs a value that changes in response to operation of the second apparatus. The control unit compares a first time period from a starting of the operation of the first apparatus to an occurrence of a change in the value of the first sensor with a predetermined first threshold value, and compares a second time period from a starting of the operation of the second apparatus to an occurrence of a change in the value of the second sensor with a predetermined second threshold value.

Embodiments include a server system including logic of an edge computing device. A network includes a cloud platform able to receive state change events from a state module, and execution of the program logic results in process steps of a method that include transmitting a plurality of attributes from the cloud platform to the at least one edge computing device, where the plurality of attributes can be associated with a device of a distributed environment coupled to the network. A further step includes receiving from the state module, by the edge computing device, current state data of the device, and a subsequent step includes performing a comparison based on a set of rules of the attributes, by the edge computing device, of the current state data. Further, based on the comparison, the method includes sending, by the edge computing device, an update to a human-machine-interface module.

Provided in an embodiment of the present disclosure is a method for acquiring data of a data source associated with a production line, including: acquiring a semantic model, the semantic model including semantic relationships between respective semantic units and data source identifiers corresponding to one or more production lines; receiving production line identifiers and acquiring one or more semantic units; converting, based upon the semantic model, the one or more semantic units to data source identifiers corresponding to production lines indicated by the production line identifiers; and acquiring data of data sources indicated by the data source identifiers. Implementing the embodiments disclosed in the present disclosure simplifies a configuration file required for a virtual model of a production line, thereby greatly reducing configuration workload, and enhancing convenience of acquiring data of a data source.