Event-Based Vibration Monitoring for High-Frequency Detection
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Solution Overview
Problem
Conventional vibration monitoring methods face challenges in accurately capturing high-frequency vibrations due to insufficient sampling frequencies, particularly when using frame-based image sensors, leading to incomplete data capture and inefficient power consumption.
Innovation Solution
Employing an event-based vision sensor (EVS) to asynchronously output event data including pixel position, time, and polarity changes, enabling the generation of vibration information through a frequency and amplitude calculation based on these data, allowing for high-efficiency, low-power monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frame-based image sensors are used for vibration monitoring, then the system structure is simple, but the sampling frequency is insufficient to accurately capture high-frequency vibrations
Solution Approach 1:
The patent transitions from static frame-based sampling to dynamic event-driven sampling. The EVS continuously monitors luminance changes and outputs events asynchronously based on actual vibration occurrences, enabling the system to adapt to varying vibration frequencies and achieve high sampling rates for high-frequency vibrations without the limitations of fixed frame rates.
Solution Approach 2:
The patent changes the fundamental sampling parameter from fixed time intervals (frame rate) to event-triggered intervals based on luminance change thresholds. This parameter transformation allows the system to dynamically adjust sampling density according to vibration intensity, capturing high-frequency events with higher temporal resolution while maintaining simplicity in system structure.
2Measurement precision
If frame-based image sensors operate at high frame rates to improve sampling frequency, then vibration detection accuracy improves, but power consumption increases
Solution Approach 1:
The patent replaces continuous periodic frame-based sampling with event-triggered periodic action. Instead of capturing frames at fixed intervals regardless of vibration activity, the EVS only generates output events when luminance changes exceed thresholds, creating an adaptive periodic sampling pattern that concentrates computational resources on actual vibration events and reduces power consumption during low-activity periods.
Solution Approach 2:
The EVS system performs self-service by autonomously detecting luminance changes and triggering events only when necessary. The sensor automatically adjusts its output based on local luminance variations at each pixel, eliminating the need for continuous high-rate framing and reducing overall power consumption while maintaining detection accuracy for vibration events.
3Measurement precision
If multiple contact-based vibration sensors are deployed to achieve sufficient sampling frequency, then vibration detection accuracy improves, but device complexity and cost increase
Solution Approach 1:
The patent applies multi-functionality by using a single EVS to perform the work of multiple dedicated vibration sensors. The event-based imaging approach allows one sensor to simultaneously monitor multiple spatial locations and capture vibration events across the entire field of view, replacing numerous point-contact sensors with a single versatile imaging device that provides both spatial and temporal vibration information.
Solution Approach 2:
The patent substitutes mechanical contact-based vibration sensors with an optical event-based vision system. By replacing physical contact sensors that require mechanical coupling with the vibration source, the EVS provides a non-contact optical measurement approach that eliminates mechanical wear, simplifies installation, and reduces system complexity while maintaining or improving measurement accuracy.
Data Source
AI summary
The present disclosure relates to an information processing apparatus, an information processing method, and a program enabling to achieve more suitable vibration monitoring.A vibration detection unit generates vibration information representing a vibration state of a subject, on the basis of event data that is output from an EVS and includes a pixel position, a time, and a polarity at which an event that is a luminance change for each pixel has occurred. The technology according to the present disclosure can be applied to, for example, a vibration monitoring system.