Bulk Material Property Detection for Faster Dosing Setup
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Solution Overview
Problem
Existing methods for determining properties of bulk materials for dosing devices are time-consuming, costly, and require specialized knowledge, making it difficult to reliably select and operate dosing devices with different materials.
Innovation Solution
A method involving image capture and user input to derive bulk material information using machine learning, allowing assessment of dosing behavior without extensive laboratory testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional laboratory testing and trial arrangements are used to determine bulk material properties, then measurement precision and reliability are improved, but loss of time and productivity deteriorate
Solution Approach 1:
The patent replaces mechanical laboratory testing systems with an optical evaluation system that uses image capture devices and automated evaluation modules to determine bulk material properties. The system captures images of bulk material samples and uses evaluation modules to extract properties such as particle size, shape, and flow characteristics directly from the images, eliminating the need for time-consuming physical tests while maintaining measurement precision
Solution Approach 2:
The system performs preliminary characterization of bulk materials by capturing images and automatically evaluating properties before the materials are fed into the dosing device. This preliminary action provides advance information about material properties, allowing the dosing device to be pre-configured with appropriate parameters, thereby reducing overall processing time without sacrificing measurement accuracy
2Measurement precision
If conventional laboratory testing with specially trained personnel is used, then measurement precision is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The system enables operators to independently determine bulk material properties using the automated image capture and evaluation system without requiring specialized training. The evaluation modules automatically process images and extract material properties, making the system self-sufficient and eliminating the need for expert personnel while maintaining measurement precision and improving ease of operation
3Reliability
If extensive laboratory testing and trial arrangements are used, then reliability of dosing device selection is improved, but productivity and loss of time worsen
Solution Approach 1:
The patent replaces extensive mechanical laboratory testing with automated optical evaluation that quickly determines bulk material properties from images. The system extracts multiple material properties simultaneously from image data, providing reliable information for dosing device selection without the time-consuming trial arrangements, thereby improving both reliability and productivity
Solution Approach 2:
The system performs preliminary bulk material characterization before dosing device operation, providing advance information about material properties such as particle size distribution, shape, and flow characteristics. This allows for pre-configuration of dosing parameters and selection of appropriate dosing devices, ensuring reliable operation while significantly reducing preparation time and improving overall productivity
Data Source
AI summary
A method for determining at least one specific piece of information relating to a bulk material. A method for generating a data record including at least one piece of information relating to a bulk material, a method for obtaining a piece of information relating to a bulk material and a database, and devices and computer-implemented data structures are also provided.