Crushing Plant Automation via Sensor Feedback Control
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Solution Overview
Problem
Current automation systems for mineral material crushing processes are device-specific and lack plant-specific or mobile application solutions, leading to suboptimal productivity and end product quality, which heavily relies on operator experience and manual adjustments.
Innovation Solution
An automatic process control system that uses sensors to measure material flow and adjust feeder and conveyor speeds, reducing operator intervention and optimizing crushing plant capacity and end product quality by maintaining optimal feeder filling and controlling particle size distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If device-specific automation systems are used for crushing processes, then basic automation is achieved, but plant-specific optimization and productivity are not improved
Solution Approach 1:
The control system is designed as a plant-specific integrated solution that controls multiple crushers and conveyors through a single centralized platform. The system manages the entire crushing plant including feeders, conveyors, and multiple crushers with coordinated control, transforming device-specific automation into a universal plant-wide automation system that optimizes overall productivity.
Solution Approach 2:
The system continuously monitors crusher loads, material flow rates, and operational parameters using sensors and measurement devices. This feedback is processed by the control unit to automatically adjust feeder speeds and conveyor operations, enabling dynamic optimization of the crushing process and eliminating the need for manual operator adjustments.
2Ease of operation
If manual operator control is used for adjusting crusher parameters, then flexibility is maintained, but product quality consistency and energy efficiency deteriorate
Solution Approach 1:
The control system continuously monitors particle size distribution, crusher load, and material flow characteristics. Based on this feedback, the system automatically adjusts operational parameters to maintain consistent product quality specifications, eliminating the variability inherent in manual operator control while preserving the flexibility to adapt to different material types.
Solution Approach 2:
Manual mechanical adjustments by operators are replaced with an automated electronic control system that uses sensors, measurement devices, and programmable logic to precisely control crusher parameters. This substitution eliminates human error and inconsistency while maintaining the ability to quickly adjust settings for different materials.
3Productivity
If feeder speed is increased to maximize plant capacity, then productivity improves, but crusher flooding and energy consumption worsen
Solution Approach 1:
The system dynamically adjusts feeder speed based on real-time crusher load conditions, material characteristics, and downstream conveyor capacity. Rather than operating at fixed high speed, the feeder speed is continuously optimized to match actual processing requirements, maximizing productivity while avoiding crusher flooding and unnecessary energy consumption.
Solution Approach 2:
The control system monitors crusher load, material flow rate, and power consumption continuously. This feedback enables the system to automatically reduce feeder speed when crushers approach capacity limits or when energy consumption becomes excessive, preventing flooding while maintaining optimal productivity levels.
4Adaptability or versatility
If operator experience is relied upon for process control, then adaptability to different materials is achieved, but operator dependency and variability in outcomes worsen
Solution Approach 1:
The system replaces operator expertise and experience with an automated control algorithm that has been programmed with knowledge of different material characteristics and optimal processing parameters. This substitution eliminates variability between operators while maintaining adaptability to different materials through programmable control logic and database storage of material-specific parameters.
Solution Approach 2:
The system stores pre-configured parameters and settings for different material types in a database. When a new material is introduced, the operator can quickly load the appropriate pre-configured settings, and the system automatically adapts to the specific material characteristics. This eliminates the need for operators to rely on experience while ensuring consistent, reliable control.
Data Source
AI summary
A method, a system and a crushing plant for controlling a crushing process, which crushing plant includes a feeder for feeding material to be crushed to a crusher, a first crusher for crushing the fed material, a second crusher for crushing the crushed material and a conveyor for conveying the crushed material from said first crusher to said second crusher. A crushing plant includes measurement means for measuring the volume flow of the crushed material and control means for controlling the feeding speed of the material to be crushed responsive to change in the volume flow of the crushed material.