Grinding Mill Control Using RFID Data for Grain Size Precision
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Solution Overview
Problem
Existing methods for treating granular grinding stock or mixtures in grinding mills often result in suboptimal size reduction, leading to incorrect grain size and potential damage due to inadequate control over the grinding process.
Innovation Solution
A device and method utilizing an RFID reading unit to identify packaged grinding stock, transmitting and downloading data via wireless networks, and controlling the grinding process based on externally predefined data to ensure optimal mechanical size reduction, including automatic activation of the grinding mill and logging of the process for quality assurance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional grinding mills are used without external data control, then the device complexity is low, but the manufacturing precision of grain size is incorrect and suboptimal
Solution Approach 1:
Optimal grinding parameters (duration, fineness, power) are determined and stored in advance based on externally predefined data or grinding stock characteristics. The system retrieves these pre-determined parameters automatically before grinding begins, eliminating the need for complex real-time optimization algorithms while ensuring optimal grain size precision.
Solution Approach 2:
The control device receives external control information (potentially including feedback from RFID tags or other identification systems) that provides data about the specific grinding stock being processed. This feedback mechanism allows the system to automatically adjust parameters to achieve precise grain size control without requiring complex manual intervention.
2Reliability
If the grinding process is not controlled based on external data, then the ease of operation is high, but the reliability of the grinding process is poor leading to faulty treatment
Solution Approach 1:
The grinding mill system automatically retrieves and executes the appropriate grinding parameters based on externally predefined data or identified grinding stock characteristics. The control device autonomously determines optimal settings without requiring operator expertise or manual configuration, thereby ensuring reliable grinding treatment while maintaining ease of operation.
Solution Approach 2:
Grinding parameters are predetermined and stored based on the specific characteristics of different grinding stocks. When processing begins, the system automatically retrieves the correct pre-configured parameters, ensuring reliable and consistent grinding results without requiring complex real-time decision-making by the operator.
3Productivity
If manual control of grinding parameters is used, then the device complexity is low, but the productivity is reduced due to suboptimal grinding efficiency
Solution Approach 1:
The control device dynamically adjusts grinding parameters (duration, fineness, power) based on externally predefined data or real-time identification of grinding stock characteristics. This dynamic adaptation allows the system to optimize grinding efficiency for each specific material type, significantly improving productivity compared to static manual settings.
Solution Approach 2:
The system automatically changes key grinding parameters (grinding duration, fineness level, power input) based on the identified characteristics of the grinding stock. By dynamically modifying these parameters according to material-specific requirements, the system achieves optimal grinding efficiency and productivity without requiring complex mechanical modifications to the mill itself.
4Object-affected harmful factors
If grinding parameters are not optimized, then the ease of operation is high, but heating and damage to the grinding stock occur
Solution Approach 1:
The control device receives external control information that includes data about the specific grinding stock being processed. This feedback allows the system to automatically determine and apply optimal grinding parameters that prevent excessive heating and material damage, protecting the grinding stock without requiring complex manual monitoring or adjustment by the operator.
Data Source
AI summary
The invention relates to a method and a device for treating granular grinding stock or grinding stock mixtures by way of controlled mechanical size reduction by means of a grinding mill or a combination of several grinding mills. The actual grinding process is controlled by externally provided data. The data is saved in a data memory unit that is connected to the packaging of the grinding stock, namely directly.