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无损改造和硬件加装 |
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| 自动机门 |  |
| 托盘化系统 |  |
| 安全围栏/安全门 |  |
| SmartBox 数据采集单元 |  |
| 机器人 | |
| 机器人线性轨道 | |
| 三坐标测量机（CMM） |  |
| 清洗机 | |
| 自主移动网络 | |
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机器装载机（可选） |
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垂直存储系统（可选） |
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| 多轴机器人（可选） | |
提供工程服务
流程设计
固定装置设计
Positioning: A workshop-level, fully closed-loop unmanned intelligent upgrade. Connects enterprise ERP and MES systems, integrates all workshop equipment and processes, achieving full-scenario intelligent control.
Form: Building upon the line level, this solution adds hardware such as AMR(Autonomous Mobile Robot) and vertical storage systems. It introduces digital twin technology, with software enabling comprehensive workshop-level scheduling, connecting to ERP and MES systems to form a complete workshop intelligence closed loop.
Core Objective: Achieve 24-hour unmanned production at the workshop level; enable automatic material transport; gain full-process control over orders, production, quality, and energy consumption; map real-time workshop status via digital twins; facilitate predictive maintenance and process optimization.
应用程序
Scenario
Intelligent upgrade of an entire machining workshop. Suitable for large and medium-sized machining enterprises pursuing unmanned, digital, and integrated management across the entire workshop.
Specific Uses
Achieve 24-hour unmanned production and seamless changeover workshop-wide; enable automatic material dispatching and transport; connect with ERP and MES systems for seamless integration of order, production, and financial data; create 1:1 real-time mapping of the workshop status with digital twins to promote predictive maintenance; achieve full-process data traceability and energy management at the workshop level.
应用案例
精彩片段
1
Increase machine tool utilization rate to 70-80% or above
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Shorten product lead time
3
Enhance order-winning competitiveness for enterprises
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Reduce costs for tooling, fixtures, and machine startup
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Save operational and technical labor costs
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Enable data-driven decision-making through analytics
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Address the challenge of skilled labor shortages
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Achieve 24/7 unmanned production
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Improve workplace safety
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Enhance quality stability
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Implement predictive quality control
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Strengthen manufacturing traceability and energy consumption traceability
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