Nec corporation (20240160620). TIME-SERIES DATA PROCESSING METHOD simplified abstract
Contents
- 1 TIME-SERIES DATA PROCESSING METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TIME-SERIES DATA PROCESSING METHOD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
TIME-SERIES DATA PROCESSING METHOD
Organization Name
Inventor(s)
TIME-SERIES DATA PROCESSING METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240160620 titled 'TIME-SERIES DATA PROCESSING METHOD
Simplified Explanation
The present invention relates to a time-series data processing apparatus that converts time-series data into feature amount data and then into corrected feature amount data based on the operation state information associated with the measurement target.
- Database associating time-series data and operation state information
- Conversion unit converting time-series data into feature amount data per predetermined period and then into corrected feature amount data
- Extraction unit extracting corrected feature amount data based on operation state information
Potential Applications
This technology can be applied in various fields such as industrial monitoring, predictive maintenance, and data analysis in research and development.
Problems Solved
1. Efficient processing of time-series data with associated operation state information 2. Accurate extraction of feature amount data based on the operation state of the measurement target
Benefits
1. Improved data accuracy and reliability 2. Enhanced performance monitoring and analysis capabilities 3. Streamlined data processing and extraction procedures
Potential Commercial Applications
Optimizing manufacturing processes, enhancing equipment maintenance strategies, and improving data analysis in various industries.
Possible Prior Art
One possible prior art could be traditional time-series data processing methods that do not take into account the operation state information of the measurement target.
Unanswered Questions
How does the apparatus handle real-time data processing?
The abstract does not specify whether the apparatus can handle real-time data processing or if it is limited to batch processing.
What types of measurement targets can be accommodated by the apparatus?
The abstract does not mention the flexibility of the apparatus in accommodating different types of measurement targets or data sources.
Original Abstract Submitted
a time-series data processing apparatus according to the present invention includes a database associating time-series data measured from a measurement target and operation state information indicating an operation state of the measurement target when this time-series data is measured, a conversion unit configured to convert the time-series data into feature amount data individually per predetermined period and convert the feature amount data into corrected feature amount data, which is generated by individually correcting the feature amount data based on a time of a corresponding period, and an extraction unit configured to extract the corrected feature amount data corresponding to the time-series data based on the operation state information associated with the time-series data.
