Anbieter einloggen
Home
Newsletter
Registrieren Sie sich für unseren monatlichen Newsletter.
Ihre Adresse wird nicht an Dritte weitergegeben.
Zu unseren Datenschutz-Bestimmungen.
Produktnews
07.04.2026  |  81x
Diesen Beitrag teilen

Unmanned Inventory: 3D Radar Scanning in Feed Finished Product Silos

In the feed processing and grain oil industries, managing finished product silos is a critical link for maintaining production continuity and quality stability. Accurately capturing the volume, mass, and distribution of feed within a silo is essential for inventory control and cost management. However, traditional measurement methods often fall short in efficiency, accuracy, and safety. To address these industrial bottlenecks, Beijing Rettar Technology Co., Ltd. (RETTAR) has introduced the 3DPro2300Easy Radar Scanner, a specialized 3D scanning solution designed to enable high-precision sensing and unmanned inventory management.

Operational Challenges in Feed Finished Product Silos

Measuring finished feed inventory presents a unique set of technical difficulties that require robust industrial solutions:

Inherent Accuracy Limitations: Manual ”dipping” or heavy-hammer measurements are highly susceptible to the irregular topography of material piles. Human error and the unpredictable flow characteristics of feed often lead to significant volume discrepancies.

High Safety Risks: Manual inspections require personnel to climb to silo tops or enter confined spaces. This exposes workers to high-altitude fall risks and the inhalation of concentrated grain dust, complicating safety compliance.

Strong Environmental Interference: The filling and discharging processes generate high dust concentrations. Many optical or light-based sensing devices are easily obstructed in these environments, leading to signal loss or data distortion.

Common Structural Obstructions: Feed silos are often equipped with internal screw conveyors or discharging mechanisms. These permanent fixtures occupy internal space and can interfere with volume calculations if the measurement system cannot effectively distinguish them from the actual material.

Technical Solution of 3DPro2300Easy Radar Scanner

The 3DPro2300Easy Radar Scanner is engineered to transform silo data from ”estimates” into ”visualized facts.” Its technical architecture offers several advantages for feed mill managers:

  • 1. True 3D Modeling and Structural Filtering
The device utilizes high-frequency radar waves coupled with a precision rotating gimbal to capture thousands of cloud points across the feed surface. This generates a high-definition 3D Digital Twin of the silo interior. A key technical differentiator is its Advanced Spatial Filtering Algorithm, which identifies and excludes fixed internal structures like screw conveyors. This ensures that the calculated volume reflects only the actual feed, preventing overfilling or unexpected stockouts.

  • 2. Non-Contact Safety and Durability
Designed for the ”Zero-Climb” safety mandate, the 3DPro2300Easy Radar Scanner operates as an entirely non-contact system. It eliminates the need for manual sounding, keeping personnel away from hazardous silo environments. The radar technology is inherently resistant to the heavy dust and fluctuating humidity levels typical of finished product storage, ensuring 24/7 operational stability without frequent maintenance.

  • 3. Integrated Data for Production Logic
Beyond raw measurement, the system provides a comprehensive data suite including volume, mass, and capacity utilization. This data can be integrated via standard industrial protocols into ERP or MES systems, supporting:
Multi-Silo Comparison: Real-time tracking across entire silo groups.
Trend Analysis: Predicting depletion rates to optimize procurement and logistics.
Automated Reporting: Replacing manual logs with unalterable, time-stamped digital records.

Firmeninformation

PORTALS
Schuettgut-Portal BulkSolids-Portal Recycling-Portal
Related
Bulkgids.nl
Erhalten Sie unseren Newsletter
Newsletter Archiv
Service und Kontakt
Impressum, KontaktDisclaimerDatenschutzerklärungWerbung
FOLLOW US
Linked