Mining Truck Cycle Phase Detection Using Acoustic Signatures
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Solution Overview
Problem
Existing mining cycle detection technologies rely on vibration-detecting methods, lacking an acoustic means to characterize key steps of mining-truck cycles, which are crucial for assessing productivity and efficiency.
Innovation Solution
A system and method utilizing acoustic devices and processing techniques to identify phases of a mining truck cycle by capturing and analyzing acoustic events, characterized by specific acoustic signatures, including microphones, recording devices, and processors to construct graphs representing temporal correlations between acoustic events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vibration-detecting methods are used to detect mining cycles, then detection capability is provided, but acoustic characterization of key steps is missing
Solution Approach 1:
The patent replaces vibration-detecting methods (mechanical sensing) with acoustic detection methods. Microphones capture acoustic events throughout the mining cycle, transforming the detection approach from mechanical vibration analysis to acoustic signal processing. This substitution enables comprehensive acoustic characterization of all key steps including loading, transporting, and unloading phases.
Solution Approach 2:
The system changes the detection parameter from vibration characteristics to acoustic parameters (sound pressure level, frequency spectrum, temporal patterns). By analyzing acoustic event parameters such as sound intensity, frequency content, and timing sequences, the system achieves precise identification of mining cycle phases without losing critical operational information.
2Reliability
If multiple sensors are deployed to improve detection accuracy, then measurement reliability increases, but device complexity increases
Solution Approach 1:
The acoustic detection system serves multiple functions simultaneously: it detects loading events, identifies transporting phases, recognizes unloading activities, and characterizes the entire mining cycle. A single acoustic sensing approach replaces what would otherwise require multiple specialized sensors, reducing system complexity while maintaining comprehensive detection capability and high reliability.
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 accurate identification of loading, unloading, and driving phases of mining trucks, enhancing productivity assessment and operational efficiency through acoustic analysis.
Implementation Method 1
at least one microphone that detects and captures the acoustic events associated with each phase of the mining cycle
Data Source
AI summary
A system (100) installed in a mining truck (10) implements a method for detecting acoustic events related to phases of a cycle of the mining truck, such that each acoustic event is characterized by an acoustic signature allowing periods of loading and of unloading and periods of driving loaded and empty to be identified from the amplitude and frequency of the recordings. A method (200) detects acoustic events denoting phases of a cycle of the mining truck. A mining truck has a module for executing an analyzing application for analyzing one or more signals indicative of acoustic events in order to determine whether the mining truck is in the course of a mining cycle and to determine the current phase of the mining cycle being executed by the mining truck.