US 11,860,964 B2
Industrial information identification and retrieval system
Andreas Burger, Weingarten (DE); Heiko Koziolek, Karlsruhe (DE); Sten Gruener, Ilvesheim (DE); Johannes Schmitt, Ladenburg (DE); and Marcel Dix, Mannheim (DE)
Assigned to ABB Schweiz AG, Baden (CH)
Filed by ABB Schweiz AG, Baden (CH)
Filed on Jul. 8, 2020, as Appl. No. 16/923,110.
Claims priority of application No. 19185280 (EP), filed on Jul. 9, 2019.
Prior Publication US 2021/0011968 A1, Jan. 14, 2021
Int. Cl. G06F 16/9538 (2019.01); G06F 16/951 (2019.01)
CPC G06F 16/9538 (2019.01) [G06F 16/951 (2019.01)] 16 Claims
OG exemplary drawing
 
1. An industrial information identification and retrieval system, comprising:
a crawler configured to:
identify devices and their associated Open Platform Communication Unified Architecture “OPC UA” servers within a network as identified OPC UA servers, the network comprising boundaries set based on network segments, plant hierarchy, or specific sites;
create a plant index by searching the network and scanning the identified OPC UA servers; and
browse the identified OPC UA servers and extract and store data items in an external database as extracted data items,
wherein the data items comprise one or more of: image data and image data for specific devices; and
wherein the data items comprise device parameter values or output values;
a search engine configured to:
search the extracted data items and provide search results to the result processor;
interpret references; and
determine a number of times each search result was previously selected by different users, a plurality of similarity metrics for each search result, and a plurality of measures of variability for parameter values or output values for devices, wherein the plurality of measures of variability is based on frequency of changes to the parameter value or output value;
a result processor configured to determine a score for each search result by utilization of the number of times each search result was previously selected by different users, the plurality of similarity metrics, and the plurality of measures of variability for parameter values or output values for devices, wherein the plurality of measures of variability is utilized to increase the score of the each search results, where the parameter value or output value changes at a higher frequency than other node values; and
a web user interface “web UI” configured to present the search results according to the scores.