Patent ID: 11965667
Assignee: DAIKIN INDUSTRIES, LTD.
Field: Thermal processes and apparatus (Mechanical engineering)
Classification: CPC F  G | IPC F  G

Claim 4:
5. An information processing apparatus comprising a memory and a processor coupled to the memory, wherein the processor is configured to:
acquire
a data set including
first combined data that are a combination of first measurement data, which are related to first measured data of a first air conditioning apparatus, and labels set for the first measurement data, and second measurement data being unlabeled and related to second measured data of the first air conditioning apparatus, and
second combined data that are a combination of third measurement data and labels set for the third measurement data, the third measurement data being related to a second air conditioning apparatus;

generate, based on the acquired second combined data, a second trained model for inferring labels for the third measurement data;
calculate mapping information that shows mapping of the first combined data and the second combined data, wherein the mapping information includes a function for transforming the second combined data into the first combined data;
wherein the function transforms a set of ground-truth-labeled measurement data of the second trained model into a set of ground-truth-labeled measurement data of a first trained model;
wherein the set of ground-truth-labeled measurement data of the second trained model is part of the second combined data;
wherein the set of ground-truth-labeled measurement data of the first trained model is part of the first combined data;
acquiring data transformed from the second measurement data based on the calculated mapping information;
infer labels set for the second measurement data by inputting the acquired data into the generated second trained model;
obtain a combination of the second measurement data and the inferred labels set for the second measurement data;
generate, based on the first combined data and the obtained combination of the second measurement data and the inferred labels set for the second measurement data, the first trained model for inferring labels for the first measurement data, the first trained model not inferring labels for the third measurement data;
input the first measurement data into the generated first trained model,
acquire inferred result data output from the generated first trained model as a result of the inputting, and
control the first air conditioning apparatus based on the inferred result data.