Information processing device and information processing method

An information processing device comprising:

• a processor and a memory, wherein
• the processor is configured to:
• acquire operational status data of a target surveying instrument;
• when operational status data of the target surveying instrument is input, predict a content and a time of a complaint that will occur in the future against the target surveying instrument by using a learning model obtained by performing machine learning by using learning data generated by using a set of complaint information including a complaint content and a complaint receipt time of a complaint received from a user and operational status data of a surveying instrument relating to the complaint in a predetermined period before occurrence of the complaint, from collected data collected regarding a plurality of surveying instruments and including operational status information and complaint information on each surveying instrument, where the operational status data includes an error log and an instrument log;
• and
• provide a prediction result of the complaint occurrence predicting unit.

An information processing method to be executed by a computer, comprising:

• a step of generating learning data by using a set of complaint information including a complaint content and a complaint receipt time of a complaint received from a user and operational status data of a surveying instrument relating to the complaint in a predetermined period before occurrence of the complaint, from collected data collected regarding a plurality of surveying instruments and including operational status information and complaint information on each surveying instrument, where the operational status data includes an error log and an instrument log;
• a step of performing machine learning by using the learning data, and when operational status data of a target surveying instrument is input, generating a learning model for predicting a content and a time of a complaint that will occur in the future against the target surveying instrument;
• a step of acquiring operational status data of the target surveying instrument;
• a step of inputting the operational status data of the target surveying instrument to the learning model, and predicting a content and a time of a complaint that will occur in the future against the target surveying instrument;
• and
• a step of providing a prediction result.