Information Processing Device for Sound Data Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing devices for measuring sounds from target objects, such as humans or animals, face challenges in efficiently acquiring accurate sound data due to factors like relative position and azimuth, which affect the amplitude and phase of reflected waves.
Innovation Solution
The system employs a measurement device that emits a transmission wave and measures the reflected wave, with an information processing device that converts measurement data into sound data only when specific conversion conditions are met, including appropriate amplitude and phase criteria relative to the target object's position and azimuth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If measurement data is continuously converted to sound data regardless of conditions, then sound data acquisition is maintained, but power consumption increases and data accuracy decreases
Solution Approach 1:
The system performs preliminary evaluation of measurement data against conversion conditions (amplitude threshold, phase variation rate threshold, frequency component analysis) before executing the data conversion process. This preliminary action filters out unsuitable data in advance, preventing unnecessary conversion operations and reducing power consumption while maintaining efficient sound data acquisition for qualifying data.
2Reliability
If all measurement data is processed for conversion, then comprehensive sound data is obtained, but processing efficiency decreases due to unnecessary conversions
Solution Approach 1:
The system extracts and evaluates specific critical parameters (amplitude, phase variation rate, frequency components) from measurement data to determine conversion suitability. By taking out only the essential evaluation criteria and applying them as filters, the system identifies and processes only the necessary data subsets, ensuring sound data accuracy while significantly improving processing efficiency through selective conversion.
3Measurement precision
If conversion conditions are strictly enforced, then data accuracy improves, but sound data acquisition frequency decreases
Solution Approach 1:
The system applies partial conversion by processing only the portion of measurement data that meets the conversion conditions (amplitude threshold, phase variation rate, frequency components), while excluding data that clearly does not qualify. This partial action approach maintains high sound data quality through strict condition enforcement while improving acquisition rate by avoiding processing of obviously unsuitable data, achieving a practical balance between precision and productivity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables efficient acquisition of sound data by ensuring that only data meeting specific conversion conditions is processed, reducing unnecessary power consumption and improving data accuracy.
Implementation Method 1
a measurement device 100 that emits a transmission wave and measures a reflected wave from the target object 12
Data Source
AI summary
An information processing device is provided, including a data acquisition unit that emits an electromagnetic wave to a target object and acquires measurement data generated from a reflected wave from the target object and a conversion condition determination unit that determines whether the conversion condition to convert at least a part of the measurement data into sound data is met; and a data conversion unit that converts at least a part of the measurement data into the sound data if the conversion condition is met. The conversion condition determination unit may determine whether the conversion condition is met based on the measurement data.