YonBIP Smart Scrap Steel Grading System
The Yonyou Smart Scrap Steel Grading System leverages IoT, image capture, deep learning, and data interfaces, featuring a standardized database and intelligent algorithms. It enables remote monitoring, automated grading, and impurity detection while providing alerts for hazards, oversized scrap, and contamination—ensuring fairness, accuracy, and efficiency throughout the process.
Streamlining Construction Operations
用友如何应对
Industry Challenges
用友为建筑行业提供的高效解决方案有助于降低运营成本，缩短项目生命周期，并实现更高质量的项目交付。
痛点
- Best practices across 68 industries
- Intelligently-automated business processes that harness the power of AI and RPA
- Comply with local regulatory needs
Real-time analytics providing insights for better decisions - Agile and flexible hybrid cloud architecture
解决方案
- Digitize all relevant data records on one platform for all parties to access information with authorization
- Automate asset management life cycle – including purchase information input, transfer, asset loss, asset management life cycle
- Maintain intact and detailed asset profiles for unification
- Reduce redundant communication with live data presented, thus further improving productivity
强大 优势
数字化流程
将纸质文件转换为数字格式，以便更轻松地访问、搜索和进行版本控制。这不仅减少了对实体文件的依赖，还能确保所有相关人员始终获取最新信息。
实时协作工具
促进项目利益相关方之间的沟通与信息共享，包括内部团队、分包商和客户。这有助于提升透明度，减少误解，提高协作效率。
集中式文档管理
建立统一的项目文档存储平台，确保所有授权人员跨部门访问同一版本的文件。这减少了查找纸质文件的需求，降低了沟通误差的风险。
移动访问
为用户提供随时随地访问项目信息的能力，并支持在线审批和更新，提高工作效率。
Key Areas & Features
Core Technology
Core Technology 1
Core Technology 2
Core Technology 3
Core Technology 4
Core Technology 5
Core Technology 6
Core Technology 7
Core Technology 8
Core Technology 1
Adoption of Advanced Instance Segmentation Technology
- Instance segmentation performs pixel-level segmentation to distinguish individual units
- Optimal for grading complex scrap steel due to its precision
- Becoming the trend in smart scrap steel grading
Core Technology 2
CT-like Scanning for In-Depth Structural Analysis
- Real-time, online “CT scan-style” analysis of complex scrap steel
- Provides detailed breakdowns of weight percentages, material types, and impurity warnings
- Delivers over 10,000 data points per truckload (e.g., type, thickness, weight, surface area)
Core Technology 3
Utilizing Enhanced Algorithm Technology for Accurate Thickness Recognition
- Precise recognition of scrap steel thicknesses from 0.5mm to over 20mm
- Optimized using instance segmentation technology
Core Technology 4
Sharp Vision for Identifying Hazardous Objects
- Database of 60,000+ images of hazardous objects for identification
- Successfully detects items like gas cylinders, oil tanks, valves, motor housings, shafts, and jacks
- Ensures steelmaking safety by eliminating unchecked hazardous objects
Core Technology 5
Configurable and Easily Deployable Mature Product
- Fully configurable system with fast implementation (within one month)
- User interface designed for ergonomic aesthetics and enhanced user experience
- Built on mature product design with extensive project experience
Core Technology 6
The Only System Nationwide Integrated with Financial Settlement
- Fully integrated with financial settlement processes in scrap steel operations
- Adopted by major steel enterprises, with 200+ units sold
- Comprehensive solution covering procurement, weighing, grading, logistics, and final settlement
Core Technology 7
Rapid Engineering Deployment with Multiple Unloading Modes
- Modular, standardized design reduces deployment time
- Supports various unloading modes: claw machine, suction cups, and mobile unloading
- Introduces block compression grading algorithm for enhanced grading transparency and quality assessment
Core Technology 8
Continuous R&D Innovation on Intelligent Classification for New Materials
- Ongoing R&D in intelligent classification for new materials like broken materials, compacted cakes, and rebars
cumulative customers
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batches of graded scrap
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grading photos
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detected hazardous items
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longest single usage duration
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tons of scrap photographed
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tons of deducted scrap
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system integration success rate
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%
Successful Application Cases
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