US 12,111,649 B2
Security-relevant diagnostic messages
Benjamin Lutz, Pfinztal (DE); and Anna Palmin, Karlsruhe (DE)
Assigned to SIEMENS AKTIENGESELLSCHAFT, Munich (DE)
Appl. No. 17/439,849
Filed by Siemens Aktiengesellschaft, Munich (DE)
PCT Filed Mar. 16, 2020, PCT No. PCT/EP2020/057035
§ 371(c)(1), (2) Date Sep. 16, 2021,
PCT Pub. No. WO2020/187817, PCT Pub. Date Sep. 24, 2020.
Claims priority of application No. 19163776 (EP), filed on Mar. 19, 2019.
Prior Publication US 2022/0187816 A1, Jun. 16, 2022
Int. Cl. G05B 23/02 (2006.01); H04L 41/069 (2022.01); H04L 41/16 (2022.01); H04L 41/22 (2022.01)
CPC G05B 23/0254 (2013.01) [G05B 23/0272 (2013.01); H04L 41/069 (2013.01); H04L 41/16 (2013.01); H04L 41/22 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A method, comprising:
a) receiving diagnostic messages generated by technical objects of a technical installation comprising a manufacturing or process installation;
b) analyzing the diagnostic messages such that diagnostic messages which are relevant to security of an operation of the technical installation are identified via comparative data records and classifying individual diagnostic messages based on rules stored in a database, a machine learning network being utilized to assess the security relevance of the diagnostic messages and analyze the diagnostic messages to assess the security relevance of the diagnostic messages, said machine learning network being pre-trained utilizing inputs from operators of the technical installation, and said operators having assessed past diagnostic messages with regard to their security relevance;
c) adapting the previously identified diagnostic messages to requirements of a computer-implemented security module of the technical installation, when necessary; and
d) transmitting the previously identified and optionally adapted diagnostic messages to the computer-implemented security module of the technical installation.