CPC G06F 30/13 (2020.01) [G06F 16/953 (2019.01); G06F 30/10 (2020.01); G06F 30/27 (2020.01); G06N 3/08 (2013.01)] | 15 Claims |
1. A method for computer-aided design of a technical system, said method comprising:
for a respective component of the technical system;
actuating a search engine, said actuating using a search term comprising a component name and/or a characteristic parameter name for a design-relevant characteristic parameter of the component; and
extracting component specifications from documents found by the search engine;
training a machine learning routine on a basis of a multiplicity of predefined training component specifications and predefined training characteristic parameter values, to reproduce predefined training characteristic parameter values on a basis of predefined training component specifications;
executing the trained machine learning routine, said executing using input data and generating output data, wherein the input data comprises the extracted component specifications;
generating a planning data record for the technical system, wherein characteristic parameter values are selected from the output data generated from said executing the trained machine learning routine and are inserted into the planning data record during said generating the planning data record, wherein the characteristic parameter values are design relevant characteristic parameters of components; and
outputting the planning data record in order to design the technical system.
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