Multi-Sensor Data Recording with Predictive Sensor Selection
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Solution Overview
Problem
Existing data recording systems face challenges in efficiently managing large volumes of measurement data from multiple sensors, often resulting in unnecessary data loss when attempting to reduce the amount of data recorded, which can lead to incomplete reproduction of measurement data.
Innovation Solution
A data recording apparatus that acquires measurement data from multiple sensors, predicts data using measurement data from other sensors, decides a set of sensors capable of reproducing the data within a predetermined allowable range, and selectively records data from sensors included in this set, while deleting data from sensors not in the set to reduce the overall data volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If measurement data from all sensors is recorded, then complete measurement information is preserved, but data storage capacity is excessively large
Solution Approach 1:
The system performs preliminary prediction of measurement data using data from other sensors before determining which data to record. By predicting what data could be reconstructed later, the system pre-identifies which sensor data can be safely deleted, enabling efficient storage without information loss.
Solution Approach 2:
The system dynamically changes the recording parameters by selectively recording data from specific sensors based on prediction accuracy. The decision to record or delete data from each sensor is made based on whether predicted values fall within allowable ranges, adapting the recording strategy to current measurement conditions.
2Reliability
If measurement data from multiple sensors is recorded, then data accuracy and completeness are maintained, but device complexity increases
Solution Approach 1:
The system segments the sensor network into two groups: sensors whose data is recorded and sensors whose data can be predicted and deleted. This segmentation is dynamically determined by evaluating prediction accuracy for each sensor combination, simplifying the management of complex multi-sensor systems.
Solution Approach 2:
The system uses feedback from prediction accuracy evaluation to determine which sensor data to record. By continuously assessing whether predicted values from other sensors fall within allowable ranges, the system automatically adjusts its recording strategy to maintain reliability while reducing complexity.
3Loss of information
If data from all sensors is recorded, then no data loss occurs, but data processing time increases
Solution Approach 1:
The system performs preliminary prediction analysis to identify which sensor data can be reconstructed from other sensors before actual recording operations. This pre-evaluation prevents unnecessary recording of redundant data, reducing processing time while maintaining data fidelity.
Solution Approach 2:
The system discards recording of sensor data that can be accurately predicted from other sensors, and recovers this information through prediction when needed. This approach eliminates redundant storage and processing operations while maintaining access to complete measurement information.
Data Source
AI summary
Provided is a data recording apparatus including: a data acquisition unit configured to acquire measurement data obtained by measuring a measurement target from a plurality of sensors; a data prediction unit configured to predict measurement data acquired from at least any one sensor of the plurality of sensors by using measurement data acquired from another sensor among the plurality of sensors; a decision unit configured to decide a set of sensors capable of reproducing the measurement data acquired from the plurality of sensors within a predetermined allowable range by using the acquired measurement data and the predicted measurement data; a data selection unit configured to select measurement data acquired from a sensor included in the set in preference to measurement data acquired from a sensor not included in the set; and a data recording unit configured to record the selected measurement data.