Blending Flow Configuration for Conveyor Overflow Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional material processing systems lack the computing infrastructure and logic to efficiently handle and blend materials with diverse properties from multiple sources, particularly in mining operations, leading to inefficiencies in ore processing and increased risks of conveyor overflows.
Innovation Solution
A blending flow configuration and overflow management configuration are implemented in the material processing system, utilizing data from block models, lab assays, and on-stream analyzers to optimize the routing of materials through a conveyance network, assigning materials to grinding lines based on their properties and capabilities, and managing flow to prevent overloads by configuring variable speed routing and blending ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional material processing systems use single source-to-sink configuration without blending support, then system simplicity is maintained, but material processing efficiency and adaptability to diverse material properties deteriorate
Solution Approach 1:
The system segments material processing by creating multiple source-to-sink paths with different routing logic (fixed routing for uninterrupted paths, variable speed routing for interrupted paths). Each path is configured independently based on material properties, allowing diverse materials to be routed to appropriate grinding lines without requiring complete system reconfiguration.
Solution Approach 2:
The system implements dynamic routing capabilities where variable speed routing logic can adjust conveyor speeds in real-time based on material properties and downstream capacity. This dynamic adjustment allows the system to adapt to changing material conditions and optimize processing efficiency without increasing structural complexity.
2Productivity
If manual methods are used to optimize material processing system, then system complexity is low, but productivity and overflow management efficiency deteriorate
Solution Approach 1:
The system incorporates automated feedback mechanisms that monitor material flow, conveyor performance, and downstream capacity in real-time. This feedback enables the variable speed routing logic to automatically adjust conveyor speeds and routing decisions to prevent overflows and optimize throughput, replacing manual optimization methods with intelligent automation.
Solution Approach 2:
The system performs self-optimization by automatically analyzing material properties data, grinding line performance data, and network flow conditions to make routing decisions. The variable speed routing logic autonomously adjusts conveyor operations based on real-time conditions, enabling the system to self-manage overflow prevention and throughput optimization without continuous manual intervention.
3Manufacturing precision
If multiple sources are combined to one sink without blending management, then system complexity is reduced, but material processing quality and downstream process optimization deteriorate
Solution Approach 1:
The system applies local quality control by configuring different routing logic for different network arcs based on their specific characteristics. Uninterrupted paths use fixed routing while interrupted paths use variable speed routing with blending ratios. This localized configuration approach enables precise control over material blending quality at each convergence point without requiring complex system-wide reconfiguration.
Solution Approach 2:
The system changes operational parameters (conveyor speed, routing ratios) dynamically based on material properties and downstream requirements. The variable speed routing logic adjusts blending ratios and flow rates to optimize material composition for specific downstream processes, achieving high manufacturing precision through parameter optimization rather than structural complexity.
4Productivity
If conveyor speed is increased to improve throughput, then productivity increases, but risk of overflow and system reliability deteriorate
Solution Approach 1:
The system uses dynamic speed adjustment where conveyor speeds are continuously optimized based on real-time conditions. The variable speed routing logic increases speeds on paths with excess capacity to maximize throughput while simultaneously decreasing speeds on paths approaching capacity limits to prevent overflows. This dynamic balancing maintains high productivity while ensuring system reliability.
Solution Approach 2:
The system implements feedback control where overflow risk monitoring provides real-time information to the variable speed routing logic. When overflow risk is detected on a particular path, the system automatically reduces conveyor speed on that path while redistributing flow through alternative paths, thereby maintaining high overall throughput while preventing overflows and ensuring reliable operation.
Data Source
AI summary
Methods, systems, and computer storage media for providing an overflow management configuration for a material processing system that blends a material from multiple sources. The overflow management configuration identifies an arrangement of components and settings of the components in the material processing system to support blending a material while reducing a risk of overflow. The blending flow configuration can support optimizing outcomes of different types of downstream processes. The material properties data are identified based on different types of measurements. For example, block models, lab assays, and on-stream analyzers can be used to determine composition of the material. Grinding line performance data that estimates the grinding line performance or capacity can also be accessed. A description of a conveyance network design of the material processing system is generated. The conveyance network design can specifically help identify source nodes, sink nodes, transshipments nodes, and network arcs of the material processing system.