Flight Speaker Positioning by Acoustic Search Flight
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Solution Overview
Problem
Existing drone technologies require extensive sensor data collection and space modeling to determine optimal sound output positions, which is inefficient and time-consuming, especially in large residential spaces.
Innovation Solution
A flight speaker system that performs a searching flight with an inspection sound to identify an output position based on sound information collected by a microphone, allowing adaptive identification of sound output positions without pre-existing space models, using a flight part, sound output part, and identification part to determine optimal sound transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data collection and space modeling are performed to determine optimal sound output positions, then sound quality is improved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The invention extracts only the essential acoustic parameters needed for position determination (microphone position, inspection sound characteristics, sound pressure level) from the complete sensor data set, eliminating the need for comprehensive space modeling while maintaining sufficient accuracy for identifying optimal sound output positions
Solution Approach 2:
Instead of using the conventional approach of collecting extensive sensor data and creating space models to determine optimal positions, the invention inverts the process by using a simplified acoustic measurement method where the microphone detects inspection sounds from multiple positions to directly identify optimal sound output locations without preliminary space modeling
2Measurement precision
If sensor data collection and space modeling are performed to determine optimal sound output positions, then sound quality is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The invention extracts only the essential acoustic parameters needed for position determination (microphone position, inspection sound characteristics, sound pressure level) from the complete sensor data set, eliminating the need for comprehensive space modeling while maintaining sufficient accuracy for identifying optimal sound output positions
Solution Approach 2:
The system performs self-calibration and automatic identification of optimal positions through the inspection sound method, eliminating the need for manual space modeling and complex operational procedures while maintaining high measurement precision
3Loss of information
If the drone flies all over the residential space to collect sensor data, then comprehensive space information is obtained, but productivity and efficiency decrease
Solution Approach 1:
The invention extracts only the essential acoustic parameters needed for position determination (microphone position, inspection sound characteristics, sound pressure level) from the complete sensor data set, eliminating the need for comprehensive space modeling while maintaining sufficient accuracy for identifying optimal sound output positions
Solution Approach 2:
Instead of performing complete space modeling requiring comprehensive sensor data collection, the invention uses partial action by measuring acoustic parameters at limited key positions during normal flight operations, achieving sufficient accuracy without requiring the drone to fly all over the space for data collection
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
Enables efficient and adaptive identification of sound output positions, reducing the need for extensive data collection and space modeling, allowing for effective sound distribution in various environments.
Implementation Method 1
performing a searching flight in which an inspection sound is output from the sound output part
Implementation Method 2
sound information at a time of observing, by using an input part disposed at a predetermined position, the inspection sound
Data Source
AI summary
A flight speaker 1 firstly outputs an inspection sound while flying on a first route R1 in a linear shape connecting a position of a sound collecting microphone M disposed inside a concert hall P1, and identifies an optimal volume position where a volume of a received sound collected by the sound collecting microphone M becomes an expected volume. The flight speaker 1 outputs an inspection sound while flying on a second route R2 in an arc shape with a distance between the identified optimal volume position and a position of the sound collecting microphone M as a diameter, and identifies an output position where a sound waveform of the received sound from the sound collecting microphone M becomes an expected sound waveform.


