Dynamic Mineral Flotation Parameter Control
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Solution Overview
Problem
The existing froth flotation processes face challenges in optimizing mineral separation due to variations in ore composition and lack of real-time data integration, leading to suboptimal process parameters and reduced mineral extraction efficiency.
Innovation Solution
The method involves characterizing mineral flotation feed using measurement results from an ore processing plant, determining mineral characteristics, and comparing them to predetermined sets of characteristics to select appropriate flotation treatment parameters, which are then transmitted to the flotation processing system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional froth flotation processes are used with fixed process parameters, then the process is simple to operate, but mineral extraction efficiency is reduced due to variations in ore composition
Solution Approach 1:
The patent implements dynamic adjustment of flotation process parameters based on real-time ore composition data. The system continuously monitors ore characteristics and automatically modifies process parameters (such as reagent dosages, air flow rates, and agitation speeds) to optimize mineral extraction efficiency for varying ore compositions, transforming the static process into a dynamic adaptive system.
Solution Approach 2:
The patent establishes a feedback loop where measurement results from ore characterization systems are continuously fed into the control system. The system compares actual ore composition against target parameters and automatically adjusts flotation process parameters accordingly, creating a closed-loop control mechanism that maintains optimal extraction efficiency despite ore composition variations.
2Manufacturing precision
If real-time data integration and customization of process parameters are implemented, then mineral extraction recovery and grade are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a control system as an intermediary between the ore characterization measurement system and the flotation processing equipment. This intermediary system integrates data from multiple sources, processes the information through algorithms, and translates it into actionable process parameter adjustments, thereby bridging the gap between data collection and process optimization while managing system complexity.
Solution Approach 2:
The patent designs a multi-functional control system that performs multiple tasks: collecting data from various characterization systems, analyzing ore composition, selecting appropriate process parameters, and controlling flotation equipment. This universal system handles diverse functions through a single integrated platform, reducing the need for separate specialized systems and managing overall complexity.
3Measurement precision
If multiple measurement processes are performed on mineral samples, then comprehensive mineral characteristics are obtained, but processing time and operational complexity increase
Solution Approach 1:
The patent combines multiple measurement processes into an integrated characterization system. By merging techniques such as X-ray diffraction, X-ray fluorescence, and other analytical methods into a unified measurement platform, the system simultaneously obtains multiple mineral characteristics from a single sample analysis, reducing the need for sequential testing and minimizing processing time while maintaining comprehensive data collection.
Solution Approach 2:
The patent performs preliminary measurements and preliminary classification of ore samples before the main flotation process. By conducting initial characterization and pre-sorting measurements in advance, the system prepares data that guides subsequent processing decisions, reducing the need for extensive real-time analysis during critical processing phases and thereby reducing overall processing time.
Data Source
AI summary
First measurement results are received from a characterization system in an ore processing plant. The first measurement results characterize a sample of mineral rotation feed. A first set of mineral characteristics of the sample of mineral rotation feed are determined based on the first measurement results. Respective similarities are determined between the first set of mineral characteristics and a plurality of predetermined sets of mineral characteristics that are each associated with one or more corresponding sets of rotation treatment parameters. A first set of rotation treatment parameters is selected based on the respective similarities. The first set of rotation treatment parameters is transmitted to a rotation processing system for separation of mineral components according to the first set of rotation treatment parameters.