18281686. TIME-SERIES DATA PROCESSING METHOD simplified abstract (NEC Corporation)
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 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 18281686 titled 'TIME-SERIES DATA PROCESSING METHOD
Simplified Explanation
The present invention is 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 of the measurement target. The corrected feature amount data is extracted based on the operation state information associated with the time-series data.
- Database associating time-series data and operation state information
- Conversion unit converting time-series data into feature amount data 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 automation
- Predictive maintenance
- Environmental monitoring
Problems Solved
The technology helps in:
- Improving data accuracy
- Enhancing predictive analytics
- Optimizing resource utilization
Benefits
The benefits of this technology include:
- Increased efficiency in data processing
- Better decision-making based on accurate data
- Cost savings through predictive maintenance
Potential Commercial Applications
This technology can be commercially applied in:
- Manufacturing industries
- Energy sector
- Healthcare for patient monitoring
Possible Prior Art
One possible prior art for this technology could be traditional time-series data processing methods that do not take into account the operation state information for data correction.
Unanswered Questions
How does the apparatus handle real-time data processing?
The abstract does not mention the real-time processing capabilities of the apparatus. This aspect is crucial for applications that require immediate data analysis and decision-making.
What is the scalability of the apparatus for handling large datasets?
The scalability of the apparatus in terms of processing large volumes of data efficiently is not addressed in the abstract. This information is essential for applications dealing with big data analytics.
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.
