自行車產業主動式AI品質監控與預測系統

Active Qualities Monitoring and Prediction System of Bicycles and Parts Manufacturing
為解決自行車品檢最大痛點,以數位孿生技術進行主動式品檢,生產當下同步進行品質預測,免於廢料與返修成本,單一產線每年可降低百萬以上精修成本;核心引擎自動優化品質模型降低校調時間70%,並與國內外公有雲或私有雲(智機雲)介接,打造中小企業製程品質數位化生態鏈。
To tackle the most significant pain spot for bicycle quality inspection, the digital twin technology is applied to conduct active quality inspections, predicting product quality during production to avoid waste and reprocessing costs. It saves more than a million dollars of refining costs every year. The auto quality-optimization model for the core engine reduces 70% of the adjustment time. The system also interfaces with domestic and foreign public clouds and private clouds (smart machinery clouds) to establish the industrial chain of process quality digitalization for small and medium companies.