公开(公告)号：US20210011968A1

公开(公告)日：2021-01-14

申请号：US16923110

申请日：2020-07-08

Applicant: ABB Schweiz AG

Inventor： Andreas Burger ,  Heiko Koziolek ,  Sten Gruener ,  Johannes Schmitt ,  Marcel Dix

IPC: G06F16/9538 ,  G06F16/951

Abstract: An industrial information identification and retrieval system includes: a crawler; a search engine; a result processor; and a web user interface “web UL” The crawler identifies devices and their associated Open Platform Communication Unified Architecture “OPC UA” servers within a network as identified OPC UA servers. The crawler browses the identified OPC UA servers and extracts and stores data items in a database as extracted data items. The search engine searches the extracted data items and provides search results to the result processor. The result processor determines a score for each search result. The web UI presents the search results according to the scores.

公开(公告)号：US20190311273A1

公开(公告)日：2019-10-10

申请号：US16443914

申请日：2019-06-18

Applicant: ABB Schweiz AG

Inventor： Andrew Cohen ,  Marcel Dix

IPC: G06N5/02 ,  G06N7/00 ,  G05B19/4155

Abstract: Disclosed is a computer-implemented method for generating a prediction model. The model can be for use in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include: extracting event features from event codes and structuring the event features into feature vectors; and generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters being assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.