Material Identification System Using Pre-Optimized Signatures
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for analyzing heterogeneous materials like powders and mixtures are complex, time-consuming, and costly, making it difficult to quickly and reliably identify material changes, which can lead to production errors due to the lack of real-time process control and integration with manufacturing processes.
Innovation Solution
A system comprising local facilities with measuring devices connected to a central control center for data processing and storage, using a combination of measurement methods to generate and optimize 'fingerprints' or signatures for materials, allowing for fast, selective, and reliable identification and discrimination of materials, even in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple measurement methods are used to analyze heterogeneous materials, then measurement precision and reliability are improved, but measurement time and device complexity increase
Solution Approach 1:
The system pre-calculates and stores optimal measurement method combinations and their corresponding weights in a database before actual material analysis. This preliminary preparation allows the system to quickly retrieve and apply pre-optimized measurement schemes without performing complex real-time calculations, thus reducing measurement time while maintaining high identification accuracy
Solution Approach 2:
The system segments the material analysis process into distinct measurement stages, each utilizing specific measurement methods with assigned weights. By dividing the comprehensive analysis into weighted sub-measurements (e.g., particle size distribution, chemical composition, morphological features), the system can selectively apply different measurement combinations based on material type and quality requirements, optimizing the balance between precision and time
2Measurement precision
If comprehensive material analysis is performed, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The system employs a universal measurement platform that can perform multiple types of measurements (particle size, chemical composition, morphology, density) using a core set of measurement methods. By designing measurement devices and algorithms that can handle diverse material types (powders, granules, pellets, tablets) with a single integrated system, the patent reduces the need for multiple specialized devices, thereby lowering overall system complexity and cost while maintaining comprehensive analysis capability
Solution Approach 2:
The system changes measurement parameters dynamically based on the material being analyzed. Instead of using fixed, comprehensive measurement protocols for all materials, the system adjusts which measurement methods are applied and their corresponding weights according to material-specific characteristics stored in the database. This parameter adaptation allows precise measurement without requiring all possible measurement devices to be active simultaneously, reducing device complexity
3Productivity
If real-time material detection is implemented, then productivity is improved, but measurement precision may deteriorate
Solution Approach 1:
The system pre-calculates optimal measurement method combinations and their weights for different material types and quality requirements before production. This preliminary optimization enables the system to quickly switch between pre-configured measurement schemes during production without real-time calculation overhead, achieving both fast response and accurate measurement
Solution Approach 2:
The system applies partial measurement actions based on quality requirements. For routine quality control, a subset of measurement methods with appropriate weights is applied, providing sufficient precision for production purposes without performing all possible measurements. This selective approach maintains measurement accuracy while enabling real-time operation at production speed
4Ease of operation
If automated measurement selection is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system pre-calculates and stores optimal measurement method combinations and their weights in a database before operation. This preliminary preparation transforms complex algorithmic decisions into simple database lookups during operation, making the system easy to use while the complexity is confined to the offline database generation phase rather than the online operation phase
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The invention relates to a system (500) for identifying or distinguishing materials (Mj), comprising at least one local apparatus (510, 520, 530) and a central station (550). Each local apparatus (510, 520, 530) comprises at least one measuring device (400) for recording at least one actual signature (220j) for materials (Mj) each and at least one local computer (541) communicatively connected to the at least one measuring device (400), the at least one local computer having a local database (4) for storing and/or processing the actual signature (220j). The at least one central station (550) comprises a server (552) having a central data bank (7) for storing and/or processing the actual signatures (220j) of the local apparatus (510, 520, 530). Furthermore, the system (500) comprises a network (560), which communicatively connects the local computers (541) of the local apparatus (510, 520, 530) via the server (552) of the central station (550). The invention further relates to a corresponding method for operating a system (500), to an analysis method for identifying or distinguishing the materials, and to a measuring device for recording material properties of the materials (Mj).