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비파괴적 개조 및 하드웨어 추가 |
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| 자동 기계 도어 |  |
| 팔레타이징 시스템 |  |
| 안전 펜스 / 안전 도어 |  |
| 스마트박스 데이터 수집 장치 |  |
| 기계 인간 | |
| 로봇 리니어 레일 | |
| CMM(좌표 측정기) |  |
| 청소기 | |
| 암르 | |
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기계식 로더(선택 사항) |
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수직형 수납 시스템 (선택 사항) |
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| 다축 로봇 (선택 사항) | |
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프로세스 설계
조명기구 디자인
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.
응용
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.
적용사례
하이라이트
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Increase machine tool utilization rate to 70-80% or above
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Shorten product lead time
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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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