US 12,222,705 B2
System and method for facilitating engineering of an industrial system
Elisabeth Heindl, Cadolzburg (DE); Nataliia Rümmele, Munich (DE); and Jörg Neidig, Nuremberg (DE)
Assigned to Siemens Aktiengesellschaft, Munich (DE)
Appl. No. 18/018,575
Filed by SIEMENS AKTIENGESELLSCHAFT, Munich (DE)
PCT Filed Jul. 7, 2021, PCT No. PCT/EP2021/068728
§ 371(c)(1), (2) Date Jan. 29, 2023,
PCT Pub. No. WO2022/022954, PCT Pub. Date Feb. 3, 2022.
Claims priority of application No. 20188366 (EP), filed on Jul. 29, 2020.
Prior Publication US 2023/0297082 A1, Sep. 21, 2023
Int. Cl. G05B 19/00 (2006.01); G05B 19/418 (2006.01)
CPC G05B 19/4185 (2013.01) [G05B 19/4187 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method of facilitating engineering of an industrial system, the method comprising:
generating a query based on a user input, a user interaction with a graphical user interface (GUI), or the user input and the user interaction configured to enable engineering of the industrial system;
mapping the query to a knowledge database comprising engineering-data generated across multi-disciplinary platforms associated with design, engineering, commissioning, operation, maintenance, or any combination thereof of the industrial system, wherein the engineering-data is made available by one or more crawlers associated with the multi-disciplinary platforms, and wherein the engineering-data is indexed in the knowledge database based on an engineering ontology of the industrial system; and
displaying a notification on the GUI with a response to the query, consequent to the user input, the user interaction, or the user input and the user interaction, wherein the response comprises at least a list of engineering-data related to the query, wherein the notification comprises at least a recommendation to further engineering of the industrial system,
wherein the knowledge database is a knowledge graph database generated by indexing the engineering-data based on key-value pairs and the engineering ontology,
wherein the key-value pairs are generated between entities identified in the engineering-data,
wherein the key-value pairs are generated for the engineering-data and the user actions by:
analyzing unstructured data in the engineering-data and the user actions by extracting the entities referenced in the user actions and by tokenizing text in the unstructured data,
wherein the user actions are monitored and indexed by the crawlers,
wherein the response further comprises a confidence quotient for each of the related engineering-data in the list based on a number of ontological hops, and
wherein the related engineering-data is ranked within the list based on a number of ontological hops.