Anomaly estimation apparatus and display apparatus

An anomaly estimation apparatus, comprising:

• a collection section that is configured to repeatedly collect vehicle data concerning conditions of a plurality of vehicles for the respective vehicles;
• a feature amount calculation section that is configured to calculate a feature amount from the vehicle data collected by the collection section and store the feature amount and a place corresponding to the feature amount in a state where the feature amount is associated with the place;
• an anomaly determination section that is configured to determine whether or not an anomaly occurrence point, at which an anomaly has occurred, is present at a present time based on the feature amount calculated by the feature amount calculation section;
• an accumulation section that is configured to, if the anomaly determination section determines that the anomaly occurrence point is present at the present time, use the vehicle data at the anomaly occurrence point and the vehicle data at an anomaly periphery point, which is a point around the anomaly occurrence point, to generate estimation data, which is previously set to estimate transition of the anomaly from the anomaly occurrence point to the anomaly periphery point, and store the generated estimation data;
• an information generation section that is configured to use the estimation data stored by the accumulation section to generate causality information representing causality between an anomaly that has occurred at the anomaly occurrence point and an anomaly that has occurred at the anomaly periphery point;
• and
• an estimation section that is configured to, if the anomaly determination section determines that the anomaly occurrence point is present at the present time, use the causality information generated by the information generation section in the past to estimate transition of the anomaly from the anomaly occurrence point, at which it is determined to be present at the present time by the anomaly determination section, to the anomaly periphery point.