Silo Level Measuring Device Scanning Surface Topology
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Solution Overview
Problem
Existing level measuring devices for bulk materials in silos face challenges in accurately determining volume and topology due to irregular surface formations during filling and emptying, leading to distorted measurement results and inefficient data transmission.
Innovation Solution
A level measuring device that scans specific areas of the bulk material surface with varying resolutions and transmits only changed data, using a sensor unit and evaluation unit to calculate volumes and filling levels, which are then communicated to an external control unit for efficient data management and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire bulk material surface is scanned with high resolution, then measurement precision is improved, but energy consumption and data transmission volume increase
Solution Approach 1:
The bulk material surface is divided into multiple predefined regions (e.g., first region, second region, third region) that are scanned sequentially rather than simultaneously across the entire surface. This segmentation allows high-resolution scanning of critical areas while using lower resolution for less critical areas, thereby reducing overall energy consumption while maintaining measurement precision where needed.
Solution Approach 2:
Different scanning resolutions are applied to different regions of the bulk material surface based on their importance. Critical regions (such as areas near inlets or outlets where surface irregularities are more likely) are scanned with high resolution, while less critical regions are scanned with lower resolution. This local differentiation optimizes the balance between measurement precision and energy consumption.
2Measurement precision
If the entire bulk material surface is scanned with high resolution, then measurement precision is improved, but data transmission volume increases
Solution Approach 1:
The surface is segmented into multiple regions scanned sequentially, and only the essential measurement data from each region is transmitted to the external control unit. This segmentation approach reduces the total data volume compared to transmitting complete high-resolution scan data from the entire surface, while still providing sufficient precision for volume calculation.
Solution Approach 2:
Only the necessary measurement data (such as surface profile information at critical locations) is extracted and transmitted from the scan results. The evaluation unit processes this extracted data to calculate volume, mass, and average filling height, eliminating the need to transmit redundant data from the entire surface at high resolution.
3Device complexity
If single-point measurements are used, then device complexity is reduced, but measurement precision deteriorates due to surface irregularities
Solution Approach 1:
Instead of using a single measurement point, the surface is divided into multiple predefined regions that are scanned sequentially. This segmentation approach provides multiple measurement points across different areas of the surface, enabling the system to account for surface irregularities and improve measurement precision without requiring an overly complex simultaneous multi-point measurement system.
Solution Approach 2:
The measurement approach transitions from a single-point (zero-dimensional) measurement to a multi-point surface scanning (two-dimensional) approach. By scanning the surface in predefined regions and evaluating the topology across these regions, the system captures surface irregularities and calculates more accurate volume, mass, and average filling height values.
4Measurement precision
If uniform high-resolution scanning is applied to all regions, then measurement precision is improved, but computing power requirements increase
Solution Approach 1:
The scanning resolution is differentiated by region, with high resolution applied only to critical areas where surface irregularities are most likely to occur (such as regions near inlets or outlets), while lower resolution is applied to less critical regions. This local quality approach reduces the total computing power required for data processing while maintaining measurement precision in the most important areas.
Solution Approach 2:
The scanning strategy dynamically adjusts resolution based on the specific requirements of different regions and can adapt to changing bulk material conditions. The evaluation unit processes scan data from multiple regions with varying resolutions, optimizing the balance between computational effort and measurement accuracy for volume, mass, and average filling height calculations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces energy and computing power consumption, minimizes data transmission, and provides accurate volume calculations while avoiding surface irregularities, enabling efficient monitoring and control of silo operations.
Implementation Method 1
The level measuring device (100) comprises a sensor unit (101) for scanning a first area (103) of the surface (112) of the bulk material (111) and a second area (104) of the surface (112) of the bulk material (111)
Data Source
Figure 1~2
Figure 3A~5
Figure 6
AI summary
Level measuring device, set up for monitoring the surface topology of a bulk material, comprising a sensor unit for scanning multiple areas of the bulk material surface and an evaluation unit for calculating the volumes under these areas.