Data management device, data management program, and data management method
The data management device capable of calculating an evaluation index based on the sensor data includes: a sensor data acquisition unit that acquires the sensor data from one or more sensors installed in an industrial machine; an evaluation index calculation unit that calculates the evaluation index with use of the sensor data; a sensor data storage unit that saves the sensor data; and a sensor data deletion unit that deletes the sensor data when a total volume of the sensor data in the sensor data storage unit exceeds an upper limit. The sensor data deletion unit determines saving priority of the sensor data based on a degree of change in the evaluation index and deletes the sensor data in accordance with the saving priority.
1. A data management device, comprising:
a processor configured to calculate an evaluation index indicating a degree of abnormality of an industrial machine based on sensor data acquired from one or more sensors installed in the industrial machine; and
a memory configured to save
the evaluation index indicating the degree of abnormality of the industrial machine calculated based on the sensor data, and
the sensor data acquired from the one or more sensors, wherein
the processor is configured to
determine saving priority of the sensor data based on (i) a degree of change in the evaluation index indicating the degree of abnormality of the industrial machine and (ii) a saving density of the sensor data, the saving density defined by the number of the sensor data saved in the memory,
in response to a total volume of the sensor data in the memory exceeding an upper limit, delete the sensor data from the memory in accordance with the saving priority, and
in response to the saving density of the sensor data decreasing, raise the saving priority of the sensor data.
2. The data management device according to claim 1 , wherein
the processor is configured to determine variance in the evaluation index or a time-derivative of the evaluation index in a predetermined period, as the degree of change in the evaluation index.
3. The data management device according to claim 1 , wherein
the processor is configured to determine the saving priority of the sensor data based on the degree of change in the evaluation index and time having elapsed from acquisition time for the sensor data.
4. The data management device according to claim 1 , wherein
the processor is configured to
cause a display to display time-series data of the evaluation index,
receive a selection of the evaluation index at specific time,
display time-series data of the sensor data having formed a basis for calculation of the selected evaluation index, and
in response to the sensor data having formed the basis for the calculation of the selected evaluation index being deleted, display another sensor data acquired at a time proximate to an acquisition time of the deleted sensor data.
5. A non-transitory storage medium storing a data management program configured to cause a computer to execute:
calculating an evaluation index indicating a degree of abnormality of an industrial machine based on sensor data acquired from one or more sensors installed in the industrial machine;
saving the evaluation index indicating the degree of abnormality of the industrial machine calculated based on the sensor data and the sensor data acquired from the one or more sensors, in a memory;
determining saving priority of the sensor data based on (i) a degree of change in the evaluation index indicating the degree of abnormality of the industrial machine and (ii) a saving density of the sensor data, the saving density defined by the number of the sensor data saved in the memory;
deleting the sensor data from the memory in accordance with the saving priority, in response to a total volume of the sensor data in the memory exceeding an upper limit; and
raising the saving priority of the sensor data in response to the saving density of the sensor data decreasing.
6. A data management method, comprising:
calculating an evaluation index indicating a degree of abnormality of an industrial machine based on sensor data acquired from one or more sensors installed in the industrial machine;
saving the evaluation index indicating the degree of abnormality of the industrial machine calculated based on the sensor data and the sensor data acquired from the one or more sensors, in a memory;
determining saving priority of the sensor data based on (i) a degree of change in the evaluation index indicating the degree of abnormality of the industrial machine and (ii) a saving density of the sensor data, the saving density defined by the number of the sensor data saved in the memory;
deleting the sensor data from the memory in response to a total volume of the sensor data in the memory exceeding an upper limit; and
raising the saving priority of the sensor data in response to the saving density of the sensor data decreasing.