無人叉車能耗分析模組

開放式儲區虛實輔助儲運系統開發計畫

實現以能耗最佳化進行叉車路徑規劃並執行任務之目的。作法上以多目標最佳化路徑演算出發，利用數據收集與模型建立，搭配AI 模型訓練，計算出在效率與能耗分配比 例、交管路徑分析、派車邏輯及電量管理等條件下之無人叉車群運轉參數，以提升無人叉車之值勤率。解決人車混合運行優先權及可能碰撞問題。當人工叉車進入開放式儲 區時，本模組一方面會依據道路優先權，動態調整無人叉車群之行經路徑以避免碰撞；同時會啟動無人叉車安全區域設定，當人工叉車接觸到安全區域時，無人叉車會暫停搬運任務。

To achieve the purpose of planning the path of the forklift and executing the task with the optimization of energy consumption. The method starts with multi-objective optimal path calculation, uses data collection and model building, and cooperates with AI model training to calculate the unmanned forklift under the conditions of efficiency and energy consumption distribution ratio, traffic control path analysis, dispatching logic, and power management. Group operation parameters to improve the duty rate of unmanned forklifts. Solve the problems of human-vehicle mixed operation priority and possible collision. When the manual forklift enters the open storage area, on the one hand, this module will dynamically adjust the path of the unmanned forklift group to avoid collisions according to the road priority; at the same time, it will start the safe area setting of the unmanned forklift. , the unmanned forklift will suspend the handling task.