Mining Fluid System Pressure Monitoring and Anomaly Detection
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Solution Overview
Problem
Mining equipment, such as shovels, face inefficiencies in monitoring air and lubricant systems, leading to potential failures and downtime due to undetected pressure anomalies and lubricant issues, which are difficult to predict and manage in real-time.
Innovation Solution
Implementing a monitoring system that uses pressure sensors and controllers to analyze air and lubricant pressure data, detecting deviations and anomalies in real-time, and employing condition-based equipment models to predict potential failures and alert operators, thereby optimizing system performance and reducing downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring of air pressure and lubricant systems is used, then operational simplicity is maintained, but detection precision of pressure anomalies deteriorates
Solution Approach 1:
The patent replaces manual monitoring methods with automated electronic pressure sensors and controllers that continuously monitor air pressure and lubricant system parameters. This substitution enables precise detection of pressure anomalies through electronic measurement and automated analysis, eliminating the imprecision of manual monitoring while maintaining system simplicity through integrated control algorithms.
2Reliability
If continuous real-time monitoring is implemented, then reliability of failure prediction improves, but energy consumption increases
Solution Approach 1:
The patent implements a feedback-based monitoring system where pressure sensors continuously measure system parameters and feed this data to controllers that compare readings against predetermined thresholds. The system activates full monitoring modes only when anomalies are detected or during critical operations, allowing reliable failure prediction through selective continuous monitoring rather than constant high-energy operation.
Solution Approach 2:
The monitoring system employs periodic sampling of pressure data at optimized intervals rather than continuous high-frequency measurement. During normal operation, readings are taken at lower frequencies to minimize energy consumption, while increasing sampling rates automatically when anomalies are detected or during critical operational phases, thus maintaining reliability while reducing overall energy usage.
3Productivity
If multiple monitoring parameters are tracked, then productivity through early failure detection improves, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional monitoring platform where a single integrated controller handles multiple monitoring tasks including air pressure detection, lubricant system monitoring, anomaly detection, and predictive analytics. This universal system consolidates what would otherwise require separate dedicated devices for each function, enabling comprehensive failure detection across multiple parameters while managing complexity through integrated architecture and standardized processing algorithms.
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 effectively detects pressure deviations and lubricant issues, enabling early prediction of potential failures, reducing downtime, and optimizing the operation of mining equipment by providing real-time monitoring and predictive analytics.
Implementation Method 1
a fluid pressure sensor operable to sense a pressure level of a fluid in the fluid system of the mining machine
Data Source
AI summary
A method of monitoring a fluid system of a mining machine. The method including sensing a pressure level of a fluid in the fluid system of the mining machine to generate pressure level data; analyzing the pressure level data to detect pressure level deviations; determining at least one selected from the group of when a frequency of the pressure level deviations exceeds a predetermined frequency, and when the fluid pressure level fails to reach a threshold within a predetermined reaction time period; and outputting an alert in response to the determination.