Acoustic Fastener Detection via Frequency Spectrum Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing fastening tools lack efficient methods to determine the success of a fastening operation, particularly in determining whether a fastener has hit or missed an underlying framing member, leading to imprecise and time-consuming construction processes.
Innovation Solution
A system that utilizes an acoustic transducer, such as a microphone, to capture sound generated during a fastening operation, converts the sound into a frequency domain, and analyzes the spectrum to determine if the fastener hit or missed the framing member, with optional machine learning models for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual approximation is used to determine fastening operation success, then the operation process is simple, but the measurement precision is poor
Solution Approach 1:
The patent replaces manual visual approximation with an acoustic detection system that uses a microphone to capture sound waves generated during fastening operations. The system converts acoustic signals into electrical signals for automated analysis, substituting mechanical/manual detection with acoustic field-based detection to achieve objective and precise fastening result determination.
Solution Approach 2:
The patent introduces sound waves as an intermediary medium to detect fastening operation results. The acoustic transducer captures sound waves generated when a fastener contacts or misses the framing member, and these sound waves serve as the intermediary carrier of information about the fastening outcome, enabling indirect but accurate detection.
2Productivity
If manual approximation is used to determine fastener placement, then the device complexity is low, but the productivity is reduced
Solution Approach 1:
The patent implements a feedback mechanism where the acoustic detection system provides immediate information about fastening operation success. The system analyzes captured sound signals and provides real-time feedback on whether the fastener successfully contacted the framing member, enabling operators to immediately correct missed fastenings and improving overall construction productivity.
Solution Approach 2:
The detection system performs self-analysis of the captured acoustic signals using signal processing algorithms to automatically determine fastening results without requiring manual intervention or interpretation, enabling the system to serve itself in the detection and analysis process.
3Measurement precision
If acoustic signal analysis is performed in time domain, then the processing is simple, but the measurement precision is insufficient
Solution Approach 1:
The patent transforms the acoustic signal from the time domain to the frequency domain using Fast Fourier Transform (FFT) analysis. This dimensional transformation allows the system to analyze the frequency characteristics of the sound waves, providing more discriminative features for distinguishing between successful and unsuccessful fastening operations compared to time-domain analysis alone.
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
The system provides immediate and accurate feedback on the success of fastening operations, enhancing the precision and efficiency of construction processes by eliminating the need for manual approximation and reducing the risk of errors.
Implementation Method 1
an sound transducer, such as a microphone, and that can capture sound generated by a fastener driving operation
Data Source
AI summary
Systems and methods for a fastener driving system are disclosed. The system includes a fastener driving tool configured to drive a fastener through a covering material and into an underlying framing member, where the fastener tool generates sound upon driving the fastener through the covering material. The system includes an acoustic transducer configured to capture the sound generated by the fastener driving tool. The system includes processing circuitry configured to analyze a frequency spectrum of the audio to generate a frequency spectrum analysis, based on the frequency spectrum analysis, determine whether the fastener hit or missed the underlying framing member, and generate an indication of the determination.