Acoustic Sensor Localization for Remote Work Machine Fault Detection
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Solution Overview
Problem
Remote or autonomous work machines lack the ability to detect and locate operational issues due to the absence of a local operator who can hear and identify noises indicative of problems, leading to potential unnoticed issues that could escalate.
Innovation Solution
Implementing an acoustic sensor, such as a microphone array or acoustic camera, to capture audio data, apply spatial filtering to localize the source of sounds, and use acoustic filtering to identify and notify operators or autonomous systems of component issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a local operator is present to hear and locate noises, then issue detection capability is improved, but the work machine cannot be remotely operated or autonomous
Solution Approach 1:
The patent replaces the mechanical system of human hearing and localization with an acoustic sensor array that captures sound waves and processes them electronically to identify and locate issues in the work machine
Solution Approach 2:
The patent introduces an acoustic sensor as an intermediary between the noise source and the operator, allowing the operator to detect issues remotely through the sensor's electronic signal transmission rather than direct human hearing
2Reliability
If acoustic sensors are installed to detect noises remotely, then issue detection capability is improved, but the ability to locate the specific source of noise deteriorates
Solution Approach 1:
The patent segments the acoustic detection task by dividing the work machine into multiple monitored zones, with each acoustic sensor positioned to capture sounds from specific areas, allowing systematic identification of noise sources through spatial distribution of sensors
Solution Approach 2:
The patent adds spatial dimensionality to noise detection by using multiple acoustic sensors positioned at different locations and heights, enabling triangulation and precise localization of noise sources through three-dimensional sound mapping
3Measurement precision
If multiple acoustic sensors are deployed to improve localization, then noise source identification is improved, but device complexity increases
Solution Approach 1:
The patent makes each acoustic sensor multi-functional by designing them to simultaneously perform noise detection, source localization, and issue classification, eliminating the need for separate specialized sensors for each function and reducing overall system complexity
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 real-time detection and localization of component problems, facilitating timely remedial actions and preventing further issues in work machines.
Implementation Method 1
acoustic sensor, such as a microphone array or acoustic camera
Implementation Method 2
apply spatial filtering to the audio data to identify one or more portions of the audio data, each of the one or more portions of the audio data being captured from a different location on the work machine
Data Source
AI summary
Problems with a work machine that manifest themselves as noises may go unnoticed in the case of remote or autonomous operation of the work machine. Accordingly, disclosed embodiments utilize acoustic sensor(s), mounted on the work machine, to monitor noises emanating from different locations on the work machine, corresponding to known components. Spatial filtering may be used to map noises to specific components, and acoustic filtering may be used to identify noises that indicate problems or other issues with those components. When an issue is detected, an action, such as notifying an operator or autonomous control system, may be initiated to remediate the issue.