Vibratory Screening Control Using Real-Time Efficiency Feedback
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Solution Overview
Problem
Existing screening devices face inefficiencies due to varying process parameters that are not accounted for in their design, leading to suboptimal performance in dynamic environments.
Innovation Solution
A method and apparatus for monitoring and adjusting the operation of vibratory screening devices using sensors and machine learning to determine performance metrics, allowing for real-time adjustments of screen control parameters based on environmental conditions and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If screening devices are designed with fixed environmental assumptions, then device structure is simplified, but performance deteriorates when environmental parameters vary
Solution Approach 1:
The system transitions from fixed design assumptions to dynamic adaptation by continuously monitoring environmental parameters (temperature, humidity, feed characteristics) and adjusting screen control parameters (motor speed, stroke shape, stroke angle) in real-time to maintain optimal screening efficiency under varying conditions
Solution Approach 2:
The system changes operational parameters (motor speed, stroke shape, stroke angle, feed speed) based on monitored environmental conditions and performance metrics, allowing the screening device to adapt to varying environmental factors without requiring complex structural modifications
2Productivity
If real-time monitoring and adjustment systems are implemented, then screening efficiency is improved, but device complexity increases
Solution Approach 1:
The system implements continuous feedback loops where sensors monitor environmental parameters and screening performance, the processor analyzes this data to determine performance metrics, and the system automatically adjusts screen control parameters to maintain optimal efficiency, creating a closed-loop control system
Solution Approach 2:
The system performs self-adjustment by automatically modifying its own operational parameters (motor speed, stroke shape, stroke angle) based on real-time performance data and environmental conditions, reducing the need for manual intervention and external control
Data Source
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AI summary
In one aspect there is provided a method (200) of monitoring a screening device process efficiency of a screening device (118), the method comprising: receiving input data relating to operation of the screening device process (S202); based on the input data, determining output data representing a set of performance metrics of the screening device process (S204); based on the output data, determining a machine performance metric indicative of an efficiency of the screening device process (S208); comparing the machine performance metric with machine performance reference data (S210); initiating an adjustment process for adjusting an operation of the screening device based on the indication of the result (S214A).