智慧化列車自動洗車設備 2026/08/25

• 列車智慧辨識 (AI-Based Train Identification)
  • AI 影像辨識技術，自動判別列車車型。
  • AI image recognition for automatic train type identification.
  • 依據車型、車體特徵及洗車需求，自動輸出對應洗車模式。
  • Automatic selection of the appropriate washing mode based on train type, carbody characteristics, and washing requirements.
• 能耗與定檢管理 (Energy & Maintenance Management)
  • 導入能源管理，可即時掌握用電、用水等資源使用情形。
  • Energy management for real-time monitoring of electricity, water, and other resource consumption.
  • 建立設備定檢與保養排程，協助現場掌握維護狀態。
  • Equipment inspection and maintenance scheduling for effective maintenance management.
• 高壓水刀與多模式清洗整合 (Integrated Multi-Mode Washing)
  • 同一軌道整合高壓水刀、毛刷及低壓水洗設備。
  • Integration of high-pressure water jets, brush washing, and low-pressure washing on a single track.
  • 針對烤漆及彩繪列車採非接觸式清洗，降低車體塗裝磨耗風險。
  • Non-contact washing for painted trains and trains with special liveries to minimize the risk of carbody paint damage.

產業效益及商機 Industrial Applications and Business Opportunities

• 應用產業 Industry Applications
  • 本系統專為國內外軌道運輸產業設計，旨在提升清洗品質與作業效率，透過自動化技術降低人工管理成本，強化智慧維運與設備預防性保養能力。
  • Designed for the global rail transportation industry, the system enhances cleaning quality and operational efficiency while reducing labor and management costs through automation. It also strengthens intelligent operations and maintenance capabilities and supports preventive equipment maintenance.
• 應用實例 Application Examples
  • 本系統已導入臺鐵公司臺北機務段自動洗車線之建置與應用，整合高壓水刀、毛刷及低壓水洗等多種清洗模式，依據車型與車體特徵自動切換適合的洗車程序，成為可對應臺鐵公司全車種清洗需求的智慧化列車自動清洗設備。
  • 導入列車智慧辨識、能耗管理及定檢管理功能，協助操作及維護單位掌握設施維護狀態與資源使用情形。
  • The system has been deployed on the automatic train washing line at the Taipei Rolling Stock Branch of Taiwan Railway Corporation (TRC). It integrates high-pressure water jets, brush washing, and low-pressure washing, automatically selecting the appropriate washing procedure based on train type and carbody characteristics to meet the cleaning requirements of TRC’s full range of rolling stock.
  • The system also incorporates AI-based train identification, energy management, and inspection and maintenance management, enabling operations and maintenance teams to effectively monitor equipment maintenance status and resource consumption.