電梯系統做為高樓建築的標準配備，擔負大樓內部垂直交通運輸任務，由於現今大樓電梯在組數與層數上的增加，往往造成派車效率不佳的情況產生，有鑑於此，目的樓預約電梯群管理控制系統（Destination registration elevator group control system；DREGCS）被提出做為解決方案。一般而言，電梯群管理控制系統派車時，需同時考量乘客需求、派車效率以及電梯設備，其可描述成條件與事件的組成，因此，該系統為一離散事件動態系統（Discrete event dynamic system；DEDS）。裴氏圖網路（Petri net；PN）為一以模型為基礎之建模方法，透過數學與圖形化的表示方式來敍述系統中事件與條件之間的相互關係，裴氏圖網路常用於處理同時且非同步之離散事件動態系統。因此，本論文建立一個以裴氏圖網路為基礎之目的樓電梯分派系統，為了達成建構電梯分派系統中之參數運算功能，可控制型裴氏圖網路（Controllable Petri net；CrPN）透過新定義之元件與推論方法，使其適用於此類具運算需求及決策之系統中，另外本論文建立一個目的樓電梯分派系統的性能評估平台，其可調整各台電梯參數及產生叫車信號，做為目的樓預約電梯系統模擬、監視、統計之用，藉由產生電梯叫車需求並分析電梯群管理控制系統運行狀況的結果，期望能做為現場電梯派車參數調整的參考依據。最後，本文進行相關實驗，並探討此本論文所提出方法之可行性。

Elevator system is the standard equipment for high-rise building. It is responsible for vertical transportation inside the building. Due to increase of elevator sets and floors, it results in inefficiency for elevator dispatching system. Therefore, destination registration elevator group control system (DREGCS) is presented to solve this problem. In general, elevator group control system should consider passenger requirement, dispatching efficiency and elevator equipment during dispatching. It can be represented as the combination of conditions and events. Therefore, this system is a discrete event dynamic system (DEDS). Petri Net (PN) is a model-based implementation approach. PN model is composed of events and conditions. It can be represented as mathematically or graphically. Hence, PN is suitable to process DEDS with concurrent and asynchronous characteristics. As this result, this thesis proposed a PN-based destination registration elevator group control system. To achieve the capability of parameter operation in constructing the elevator dispatching system, controllable PN (CrPN) with new defined components and inference method is used to the system which requires mathematic operation and decision making. In addition, a performance evaluation platform for DREGCS is developed. This platform is capable of adjusting the parameters and producing the call signal of each elevator. Therefore, system simulation, monitoring, and statistical analysis can be achieved. Finally, several experiment results were discussed and evaluated to verify the feasibility of the proposed approach.

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