Sensor Data Retention Priority for Industrial Machine Storage Limits
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Solution Overview
Problem
Conventional data management devices for industrial machines face challenges in efficiently managing sensor data storage, as they either require prior knowledge for calculating abnormality frequency and remaining life or result in unnecessary data thinning without adequate storage limits.
Innovation Solution
A data management device that calculates an evaluation index based on sensor data, determines saving priority based on the degree of change in the evaluation index, time elapsed, and saving density, and deletes sensor data accordingly to maintain storage within an upper limit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all sensor data is saved indefinitely, then data completeness is improved, but storage volume becomes enormous
Solution Approach 1:
The patent changes the parameter of data retention by introducing a dynamic priority system based on evaluation index changes. Instead of uniform retention, data is categorized into keep/delete groups according to their priority values derived from evaluation index variations, thereby resolving the contradiction between maintaining data completeness and controlling storage volume.
2Quantity of substance
If sensor data is deleted based on oldness of measurement time, then storage space is freed, but necessary data may be lost
Solution Approach 1:
The patent replaces the time-based deletion parameter with a priority-based parameter derived from evaluation index changes. Data deletion is determined not by how old the data is, but by its calculated priority value, which reflects its actual importance for anomaly detection, thereby preventing loss of necessary data while freeing storage space.
3Measurement precision
If abnormality frequency and remaining life are calculated in advance, then data deletion accuracy is improved, but prior knowledge requirement increases system complexity
Solution Approach 1:
The patent performs preliminary calculation of evaluation indices from sensor data before deletion decisions are made. By pre-calculating these indices and their changes, the system establishes a foundation for accurate deletion decisions without requiring external prior knowledge about equipment abnormalities, thus improving deletion accuracy while maintaining system simplicity.
4Ease of operation
If sensor data is thinned out without storage limits, then storage management is simplified, but storage capacity may be insufficient
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors storage volume against an upper limit and adjusts data retention accordingly. When the limit is approached, the priority-based deletion process is triggered, creating a self-regulating system that simplifies storage management while ensuring sufficient capacity is maintained.
Data Source
AI summary
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.