This project relies on IoT technology to build an intelligent rebar processing system specifically for China Railway No.2 Engineering Group: it supports one-click import of BIM models, covering the full-process digitalization of raw material management, semi-finished product management, production plan management, intelligent scheduling, intelligent cutting, intelligent production, production equipment management, and intelligent work reporting. It also supports cutting plan optimization, remnant material management, and waste material management, and is equipped with a digital twin visualization large screen, driving rebar processing from "experience-driven" to "data-driven".
China Railway No.2 Engineering Group is a large comprehensive construction enterprise under China Railway, mainly engaged in the construction of railways, highways, municipal works, buildings, and other projects. Rebar is one of the most basic and most used structural materials in various projects. The efficiency of rebar processing and material utilization directly affect the progress, cost, and quality of the project.
For a long time, the rebar processing stage has generally relied on traditional models: manual drawing interpretation and detailing, manual transcription of scheduling orders, and cutting estimates based on experience. Design changes are difficult to transmit to the processing site in real time, and BIM models and production workshops have long been in a "two separate systems" state. Under the national policy background of vigorously promoting "coordinated development of intelligent construction and building industrialization", China Railway No.2 Engineering Group introduced IoT and digital technologies to build an intelligent rebar processing system covering the full process of "design import—plan scheduling—cutting production—equipment work reporting—remnant and waste material management—visualized control".
| No. | Pain Point | Specific Manifestation |
|---|---|---|
| 1 | Cutting relies on experience and causes large waste | Cutting plans depend on manual estimation, material utilization is low, and the proportion of remnant and waste materials is high |
| 2 | Design and production are disconnected | BIM models require manual secondary detailing before entering processing, change transmission lags, and errors are prone to occur |
| 3 | Scheduling relies on manual work and is inefficient | When multiple projects and multiple components are processed in parallel, manual scheduling is slow and prone to conflicts |
| 4 | Material management is extensive | Raw materials, semi-finished products, remnant materials, and waste materials lack detailed ledgers, and inventory accounts do not match reality |
| 5 | Equipment status is invisible | Equipment operation, faults, and energy consumption lack real-time monitoring, and fault response lags |
| 6 | Work reporting relies on paper and is opaque | Output progress relies on paper documents or verbal reports, and data lags and is distorted |
Connect the data link: one-click import of BIM models, design data directly drives production, eliminating secondary detailing;
Achieve full-process digitalization: full-process online closed loop for raw materials, semi-finished products, planning, scheduling, cutting, production, equipment, and work reporting;
Reduce costs and increase efficiency through optimization algorithms: global optimization of cutting plans, improving material utilization and reducing remnant and waste materials;
Achieve visualized control: rely on the digital twin large screen to perceive people, machines, materials, and progress in real time, supporting refined management decisions.
The system is organized according to five major stages: "design import—plan scheduling—production execution—material closed loop—optimization control", with a total of 13 core functional modules:
▎Design Import Stage
1. One-click BIM Import: parse and store the rebar model from the design stage (structured data such as components, specifications, cutting dimensions, quantities, etc.) into the database with one click, automatically generate processing tasks, eliminate the repetitive labor of "drawings—manual detailing—system entry", and transmit design changes to production in real time. Intended for technicians, detailing personnel, and production planners.
▎Plan Scheduling Stage
2. Production Plan Management: decompose project requirements into workshop production plans, support production scheduling by project, component type, priority, and delivery date, and allow adjustment at any time with linked scheduling. Intended for production supervisors and planning dispatchers.
3. Intelligent Scheduling: automatically generate optimal scheduling plans based on constraints such as equipment capacity, personnel shifts, and material inventory, support one-click adjustment and manual fine-tuning, and say goodbye to slow and conflict-prone manual scheduling. Intended for production supervisors and planning dispatchers.
4. Intelligent Cutting: Automatically generate the optimal nesting/cutting plan based on the cutting list, intelligently match the fixed length of raw materials, and generate equipment cutting instructions to maximize material utilization. For cutters, detailers, and equipment operators.
▎Production Execution Stage
5. Intelligent Production: One-click distribution of scheduling and cutting instructions to processing equipment such as cutting machines, bending machines, and threading machines, with real-time production data collection via IoT to monitor progress, quality, and takt time. For equipment operators, team leaders, and production supervisors.
6. Production Equipment Management: Full lifecycle management of equipment ledgers, inspections, maintenance, repairs, energy consumption, and operating status, supporting fault warnings and work order dispatch to reduce downtime losses. For equipment administrators and maintenance personnel.
7. Intelligent Work Reporting: Automatic collection of output and work hours via mobile/device terminals, online and real-time work reporting, automatic progress summarization, providing accurate data for performance accounting. For frontline operators, team leaders, and management.
▎Material Closed-loop Stage
8. Raw Material Management: Full-process ledger for steel bar arrival, acceptance, warehousing, inventory, requisition, and return, supporting multi-dimensional traceability by batch, heat number, material, and specification to solve account-physical discrepancies. For material clerks, warehouse keepers, and quality inspectors.
9. Semi-finished Product Management: Zoned storage, inventory statistics, and on-site delivery management for semi-finished products such as stirrups, bent bars, and threaded bars, with quick retrieval and transfer by component and location. For warehouse keepers, on-site construction personnel, and dispatchers.
10. Remnant Material Management: Automatic registration of usable remnants, zoned management by length and specification, priority matching for secondary utilization in subsequent cutting tasks, eliminating the hidden waste of "treating remnants as scrap". For warehouse keepers and cutters.
11. Waste Material Management: Full-process recording of measurement, registration, recycling, and disposal of unusable waste, with loss statistics by project and by period, making cost accounting evidence-based. For warehouse keepers, material clerks, and cost management personnel.
▎Optimization and Control Stage
12. Cutting Plan Optimization: Global optimization of the entire batch of cutting tasks based on algorithms such as fixed-length preference, nesting optimization, and secondary utilization of remnants, outputting the cutting plan with the highest material utilization rate, upgrading from "single-task local optimum" to "multi-task global optimum". For detailers, cutters, and production supervisors.
13. Digital Twin Visualization Dashboard: Building a 3D visualization model of the processing workshop with digital twin technology, real-time presentation of equipment operation, production progress, material inventory, energy consumption, and abnormal alarms, providing one-screen overview and one-screen control. For project managers, production supervisors, and corporate decision-makers.
The system adopts a collaborative layered "cloud-edge-device" architecture:
Perception Layer (Device): IoT gateways and sensors collect real-time operating parameters, output, energy consumption, and environmental data of processing equipment;
Network and Edge Layer (Edge): Edge computing nodes are deployed in the workshop for real-time preprocessing, protocol parsing, and local caching of equipment data, ensuring production continuity during network outages;
Platform Layer (Cloud): Provides core services such as BIM data parsing, scheduling and cutting optimization algorithms, business process engine, material ledger, equipment management, and work reporting statistics;
Application and Presentation Layer: Provides PC and mobile applications for different roles, and builds a 3D visualization dashboard through the digital twin engine.
Key technologies include: BIM data parsing and lightweighting, cutting nesting optimization algorithms, IoT device connectivity, edge computing, digital twin, and 3D visualization.
Deep Integration of BIM and Production: Truly realizes "design as production", with one-click import of BIM models directly driving cutting and production;
Optimization Algorithms Drive Cost Reduction: Global optimization of cutting plans + secondary utilization of remnants, which is the core differentiating capability compared to ordinary information systems;
IoT Full-factor Connectivity: Real-time online equipment operation, output, and energy consumption, making the entire production process perceptible, traceable, and analyzable;
Digital twin single-map control: complex production processes are intuitively visualized, lowering the management threshold and improving decision-making efficiency;
Full-process closed loop: from raw material entering the factory to waste material clearing out, forming a complete closed loop of "material—order—production—account", plugging management loopholes.
Material utilization significantly improved: intelligent cutting and cutting-plan optimization replace manual estimation, and the proportion of leftover and waste materials drops noticeably;
Processing efficiency improved: automated scheduling and real-time work reporting greatly shorten the time spent on planning and statistics, making production organization more efficient;
Management transparency: the digital twin large screen lets management grasp progress, equipment, and inventory in real time, enabling more timely response to anomalies;
Accurate cost accounting: full-process closed-loop material management eliminates hidden waste, and the material ledger matches actual accounts;
Traceable quality: full-process data traces provide data support for defining quality responsibility and continuous improvement.
Cost reduction: improved material utilization and reduced loss directly compress steel bar processing costs;
Efficiency increase: automation of scheduling, cutting, and work reporting shortens the processing cycle;
Quality improvement: data-driven + full-process traceability reduces human error;
Clear management: enables management to "see clearly, control firmly, and calculate accurately";
Green and low-carbon: reduces waste and improves material utilization, aligning with the low-carbon development orientation of the construction industry;
Replicable and promotable: the system is standardized and modular, and can be promoted to more engineering bureaus and processing bases.
The China Railway No. 2 Bureau intelligent steel bar processing system uses IoT technology as its foundation, integrating BIM design, intelligent scheduling, optimized cutting, intelligent production, and digital twin control, achieving a leap in steel bar processing from "experience-driven" to "data-driven". It is a successful implementation of intelligent construction in the specific scenario of steel bar processing. In the future, the system will continue to deepen in directions such as AI production scheduling optimization, integration with ERP/finance/supply chain systems, and replication and promotion across multiple bases, helping construction enterprises in digital transformation and upgrading.
Q1: What is the China Railway No. 2 Bureau intelligent steel bar processing system?
A: This is a full-process digital management system for steel bar processing based on IoT technology. It supports one-click import of BIM models, covers the complete processing flow from raw materials to finished product delivery, and is equipped with a digital twin visualization large screen, serving engineering construction scenarios such as railways, highways, municipal engineering, and building construction.
Q2: What core functional modules does the system include?
A: There are 13 core modules in total: one-click BIM import, raw material management, semi-finished product management, production plan management, intelligent scheduling, intelligent cutting, intelligent production, production equipment management, intelligent work reporting, cutting-plan optimization, leftover material management, waste material management, and digital twin visualization large screen.
Q3: What problem does one-click BIM import solve?
A: The steel bar BIM model in the design stage (components, specifications, cutting dimensions, quantities) can be parsed and stored in the database with one click, and processing tasks can be automatically generated, eliminating the repetitive labor of "drawings—manual detailing—entry into the system", and design changes can also be transmitted to the production link immediately.
Q4: How does cutting-plan optimization reduce steel bar loss?
A: Based on algorithms such as fixed-length optimization, nested cutting optimization, and secondary utilization of leftover materials, the system performs global optimization on the entire batch of cutting tasks, outputs the cutting plan with the highest material utilization rate, and automatically registers usable leftover materials and prioritizes matching them in subsequent tasks, avoiding the waste of "treating leftover materials as waste".
Q5: What can the digital twin large screen display?
A: Real-time 3D visualization of workshop equipment operating status, production progress, material inventory, energy consumption, and abnormal alarms. Managers can view all production factors on one screen, promptly identify issues, and dispatch resources.
Q6: What technical architecture does the system use?
A: It adopts a "cloud-edge-device" layered architecture: the perception layer collects equipment data through IoT gateways, the edge layer handles protocol parsing and real-time preprocessing (production continues uninterrupted during network outages), the platform layer provides BIM parsing and order scheduling and cutting optimization algorithms, and the application layer provides PC, mobile, and digital twin large-screen interfaces.
Q7: Which enterprises are suitable for implementing this system?
A: It is suitable for road and bridge, municipal, and building construction enterprises with centralized steel bar processing needs, as well as steel bar processing and distribution centers, especially enterprises with multiple concurrent projects, large steel bar usage, and a desire to reduce material waste and improve production transparency.
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