Abnormal temperature detection device, abnormal temperature detection method, and storage medium

An abnormal temperature detection method performed by an abnormal temperature detection device, the abnormal temperature detection method comprising:

• acquiring temperature data by a temperature acquirer;
• performing, by a preprocessor, preprocessing for calculating difference data indicating a difference sequence in the temperature data, generating substituted data in which either of a piece of difference data which is a positive number or a piece of difference data which is a negative number is substituted with zero, and calculating a similarity between the substituted data and reference data obtained from training data in which normality or abnormality has been identified;
• performing, by a learner, machine learning on the similarity calculated by the preprocessor and outputting an identification function;
• acquiring temperature data for detection by the temperature acquirer;
• performing, by the preprocessor, the preprocessing on the temperature data for detection;
• and
• determining, by a determiner, whether the temperature data for detection subjected to the preprocessing by the preprocessor is normal or abnormal by using the identification function.

A non-transitory computer readable storage medium storing an abnormal temperature detection program executed by a computer, the abnormal temperature detection program instructing the computer to:

• acquire temperature data;
• perform preprocessing for calculating difference data indicating a difference sequence in the temperature data, generating substituted data in which either of a piece of difference data which is a positive number or a piece of difference data which is a negative number is substituted with zero, and calculating a similarity between the substituted data and reference data obtained from training data in which normality or abnormality has been identified;
• perform machine learning on the calculated similarity and output an identification function;
• and
• determine whether temperature data for detection acquired and subjected to the preprocessing is normal or abnormal by using the identification function.