20240020895. CHART GENERATION METHOD AND INFORMATION PROCESSING APPARATUS simplified abstract (Tokyo Electron Limited)
Contents
CHART GENERATION METHOD AND INFORMATION PROCESSING APPARATUS
Organization Name
Inventor(s)
Nobutoshi Terasawa of Hokkaido (JP)
Kazushi Shoji of Hokkaido (JP)
Shintaro Saruwatari of Hokkaido (JP)
Motokatsu Miyazaki of Yamanashi (JP)
CHART GENERATION METHOD AND INFORMATION PROCESSING APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240020895 titled 'CHART GENERATION METHOD AND INFORMATION PROCESSING APPARATUS
Simplified Explanation
The patent application describes a method for generating charts based on sensor data history. Here are the key points:
- Extracting history information: The method involves collecting historical data from sensors in an apparatus. This data represents the state of the apparatus at the time when a specific event occurs.
- Generating a chart: The extracted sensor data history is statistically processed using a predefined technique stored in a memory unit. This processing generates time-series data. A chart is then generated based on this processed data.
- Displaying the chart: The generated chart is displayed on a display unit, allowing users to visualize the time-series data.
Potential applications of this technology:
- Industrial monitoring: This method can be used in industrial settings to monitor the performance and state of various apparatuses, such as machines or equipment.
- Environmental monitoring: It can be applied in environmental monitoring systems to track and analyze sensor data related to air quality, water quality, or weather conditions.
- Healthcare: This technology can be utilized in healthcare settings to monitor patient vital signs or track the performance of medical devices.
Problems solved by this technology:
- Data analysis: The method provides a systematic approach to analyze and process large amounts of sensor data, allowing for better understanding and interpretation of the data.
- Visualization: By generating charts, the method enables users to visualize the time-series data, making it easier to identify patterns, trends, or anomalies.
Benefits of this technology:
- Improved decision-making: The generated charts provide valuable insights into the historical sensor data, enabling users to make informed decisions based on the analyzed information.
- Real-time monitoring: By continuously collecting and processing sensor data, this method allows for real-time monitoring of the apparatus's state, facilitating timely interventions or maintenance actions.
- Efficiency and accuracy: The statistical processing technique applied to the sensor data history enhances the efficiency and accuracy of data analysis, reducing the manual effort required for interpretation.
Original Abstract Submitted
a chart generation method includes: extracting history information for sensor data detected from an apparatus that corresponds to the state of the apparatus at the time when a specific event has occurred; generating a chart representing time-series data obtained by statistically processing the extracted sensor data history information with reference to a memory unit that defines a statistical processing technique; and displaying the generated chart on a display unit.
