Soundscape Recognition System with Adaptive Sampling
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Solution Overview
Problem
Existing sound recording technologies face challenges in recording soundscapes at medium or high altitudes due to unstable power supply, manual data collection, and lack of mobile network support for automatic transmission to cloud servers, especially when collecting audio files from ecological landscapes.
Innovation Solution
A system for recognizing soundscapes that includes audio extractors, audio sampling and modulation circuits, an audio recognition device, environment detectors, a data integration circuit, a wireless communication module, a wireless base station, and a cloud server, which adjusts sampling rate and working period based on detected species to conserve power and uses wireless technology for transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing recording equipment is used to collect soundscapes at medium or high altitudes, then audio files can be recorded, but power supply becomes unstable and manual intervention is required
Solution Approach 1:
The system implements periodic action by adjusting the working period of audio extractors based on species detection results. When species are detected, the system switches to a longer working period for continuous monitoring, while in normal conditions it uses a shorter working period to save power, thereby achieving reliable operation across different power supply conditions
Solution Approach 2:
The system applies dynamics by making the sampling rate and working period adjustable rather than fixed. The audio recognition device dynamically modifies these parameters based on detected species, allowing the system to adapt to varying power supply conditions and environmental requirements, ensuring reliable operation at medium or high altitudes
2Ease of operation
If audio files are stored in SD cards with manual collection, then data can be preserved, but manual mountain trips are required for data retrieval
Solution Approach 1:
The system replaces the mechanical approach of manual SD card removal and data transfer with wireless communication technology. The wireless communication module transmits audio data and species detection results automatically to remote servers, eliminating the need for physical mountain trips and significantly improving ease of operation while reducing time loss
Solution Approach 2:
The patent introduces wireless communication as an intermediary between the remote recording device and the data storage server. This intermediary enables automatic data transmission without requiring physical presence at the recording location, solving the problem of manual data collection while preserving data integrity
3Measurement precision
If sampling rate is increased to improve audio quality, then more species can be detected, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the sampling rate based on detected species. When species are detected, the sampling rate is increased to improve detection accuracy for that species. When no species are detected or after identification is complete, the sampling rate is reduced to lower power consumption, thereby resolving the contradiction between measurement precision and energy usage
Solution Approach 2:
The patent implements parameter changes by modifying the sampling rate and working period based on species detection results. The audio recognition device triggers parameter adjustments that optimize both detection accuracy and power consumption, allowing high precision only when necessary rather than continuously
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 power-efficient and automated collection and transmission of soundscapes data to cloud servers, reducing manual intervention and ensuring continuous operation in challenging environments.
Implementation Method 1
The audio sampling and modulation circuits are respectively coupled to the audio extractors and configured to respectively perform quantization and digital modulation on the recording voltages to respectively generate audio modulation signals
Implementation Method 2
The wireless communication module is coupled to the data integration circuit. The wireless base station is wirelessly connected to the wireless communication module
Data Source
AI summary
A system for recognizing soundscapes includes audio extractors, audio sampling and modulation circuits, an audio recognition device, environment detectors, a data integration circuit, a wireless communication module, a wireless base station, and a cloud server. The audio extractors extract soundscape signals so that the audio sampling and modulation circuits generate audio modulation signals. The audio recognition device recognizes the audio modulation signals to generate audio features. Based on biological audio models respectively corresponding to different species, the audio recognition device determines the number of the species corresponding to the audio features, thereby adjusting the sampling rate, the working period, or both of the soundscape signal extracted by each audio extractor. The environment detectors detect different environment-related data. The data integration circuit synchronizes the environment-related data, the audio features, the species corresponding thereto and uploads them to the server through the base station and the communication module.