An industrial device matching method and apparatus are used for acquiring a corresponding relationship between industrial devices in different industrial data sources to provide basis for industrial data analysis. The method, in an embodiment, includes collecting data of at least two industrial data sources; determining a first relationship between various industrial devices in each industrial data source, and determining a first relationship topology between the industrial devices in the industrial data source; and comparing the first relationship topologies corresponding to various industrial data sources, to determine a first corresponding relationship between industrial devices in industrial data sources, the first corresponding relationship enabling the first relationship topologies corresponding to at least two industrial data sources to be similar. A relationship between industrial devices in different industrial data sources is determined by comparing a relationship topology between devices according to the similarity of relationships between the devices in different industrial data sources.

A software defined (SD) process control system (SDCS) includes a method executed by a discovery service for inferring information regarding a physical or logical asset of a process plant. The method includes obtaining an announcement indicative of a presence of a physical or logical asset of the process plant. The method also includes obtaining, from a context dictionary, one or more parameters retrievable from the physical or logical asset or one or more services associated with the physical or logical asset that were not indicated in the announcement. Furthermore, the method includes storing a record of the discovered physical or logical asset in a discovered item data store. The record includes an indication of the identity of the physical or logical asset and the one or more parameters or one or more services associated with the physical or logical asset that were not indicated in the announcement.

A software defined (SD) process control system (SDCS) includes a method executed by a discovery service for inferring information regarding a physical or logical asset of a process plant. The method includes obtaining an announcement indicative of a presence of a physical or logical asset of the process plant. The method also includes obtaining, from a context dictionary, one or more parameters retrievable from the physical or logical asset or one or more services associated with the physical or logical asset that were not indicated in the announcement. Furthermore, the method includes storing a record of the discovered physical or logical asset in a discovered item data store. The record includes an indication of the identity of the physical or logical asset and the one or more parameters or one or more services associated with the physical or logical asset that were not indicated in the announcement.

An event waveform extracting unit (3) extracts an event waveform from time-series data. A co-occurrence rate calculating unit (4) calculates co-occurrence rates of event waveforms among the time-series data. A grouping unit (5) classifies the time-series data into groups depending the co-occurrence rates of the event waveforms. An event information generating unit (6) determines the time at which the periods during which event waveforms occur overlap with each other among the time-series data included in each group, and generates event information identifying an event related to the event waveforms on the basis of the determined time.

Various embodiments of the teachings herein include a fault processing method comprising: receiving two historical faults similar to a target fault; searching keywords in a description of the target fault and each historical fault, wherein the keywords are classified into N grades, and for each system component in a grade, the grade comprises at least one keyword for describing the component, wherein N is an integer no less than 2; for each of the N grades, counting a quantity of identical system components represented by the keywords in the text description of each historical fault and the target fault; and comparing a degree of similarity of each historical fault to the target fault according to the quantity of identical system components counted in each grade of the N different grades, wherein a historical fault relating to a larger number of high-grade identical system components has a higher degree of similarity to the target fault.

A building management system for a building system includes a building system interface configured to receive building system data; a knowledge base configured to receive the building system data, the knowledge base providing a model of the building system, the model including semantic descriptions of the building system data, the semantic descriptions of the building system data being arranged in an ontology; and a user interface configured to access the knowledge base.

The present invention provides methods, systems and computer program products that enable the optimized synchronization of data between mobile client devices assigned to field operators in an industrial plant and a centralized repository for plant data. The invention optimizes synchronization of data between mobile client devices assigned to field operators in an industrial plant and a centralized repository for plant data by selecting a reduced set of data records associated with a field operator, for data synchronization based on one or more of a set of data record selection parameters, and a set of version synchronization rules to ensure that only data records that are relevant to a field operator's foreseeable activities in a shift are downloaded to the field operator's mobile client device.

The invention relates to a method for securing component data assigned to an automation component (D1, D2, DN), wherein the component data is transmitted to at least one portion of computing nodes of a distributed registry (BN1, BN2, BN3), wherein the distributed registry (BN1, BN2, BN3) functions to authenticate the component data, preferably component data of multiple automation components (BN1, BN2, BN3).

A method for custom logic engineering in an industrial modular plant executing a production process includes receiving process data for the production process using at least one physical process module; determining a custom process topology by selecting, based on the received process data, at least one module type package, MTP; correlating to the at least one respective physical process module from a database, wherein the module type package is a digital representation of the respective physical process module; selecting at least one extender unit from the database based on the received process data; representing a logical function of the production process; determining connections between the extender unit(s) and the at least one MTP; setting properties of the extender unit(s) based on the received process data; and determining an extended control scheme for controlling dynamic behavior of the production process using the determined custom process topology.

The present disclosure relates to a method for configuring step by step for transmission of data from a field device to at least one target system, comprising the steps of: creating a configuration comprising at least one subconfiguration for the field device and a subconfiguration for the target system; transmitting the configuration from the field device to the target system; and transmitting the data from the field device to the target system, wherein the data are forwarded, processed, stored or discarded based on the subconfiguration of the field device in the field device, and wherein the data are processed or stored in the target system based on the subconfiguration of the target system.