由於都市發展快速，人口激增，致使寸土寸金的都市建築不得不向上發展，電梯因而日趨普遍，人們對電梯的需求也相對增加，除了系統安穩、安全之外，最好也能達到友善以及人性化之功能，因此許多智慧型控制理論應用於電梯系統中。
本論文結合專家系統所提出的規則，規劃雙電梯的運輸方式，在電梯控制設計方面，以最短樓層搜尋法與先來先服務法達到綠能建設與服務之目的，並透過人機介面做即時監看。在故障檢測部分，根據電梯控制系統流程圖，規劃出故障樹，說明故障原因，當電梯系統在運作過程中發生故障時，可以藉由專家系統所定義出的規則做推論，並提供解決之方法。
藉由本文提出的研究方法及設計流程，可以有效率的控制雙電梯且管理者可透過監看介面了解電梯運行之狀態。此系統能有效推論出升降馬達、步進馬達、近接開關、極限開關是否發生故障，增加維修人員判斷依據，進而減少檢查與維修時間。另外，利用本研究所提出的故障檢測系統能夠有效地偵測雙電梯系統中元件故障的情形。在檢測故障時，具有極佳的檢出準確度。

As rapid urban development and population growth, buildings in urban areas have to be established higher than before, which causes wider use of elevators. In addition to system stability and safety, demands for elevators are also increasing, like artificial intelligence of time-saving and energy-saving. Therefore, many intelligent control theories are applied to elevator systems.
This study combines the rules proposed by expert system to plan dual-elevators transport mode. In the part of elevator control design, we implement the shortest floor search method and first-in-first-service method to achieve the goals of green energy construction and service. Moreover, through the human-machine interface, we could perform real-time monitoring. In the part of malfunction detection, according to the flow chart of elevator control system, we establish fault tree to explain the malfunction reason. When elevator system malfunction occurs during the operation, we could follow the rules defined by expert system to make a conclusion and propose a solution.
According to the research method and design flow proposed by this study, we can control dual-elevator efficiently, and system manager can understand the status of operating elevators through monitoring interface. This system can effectively infer whether elevator motors, step motors, proximity switches, and limit switches fail or not, and enhance the correctness of maintenance personnel’s decisions. Additionally, this system can help us reduce the inspection and maintenance time. In addition, we can detect faults of components in the dual elevator system efficiently by our fault detection system. When detecting faults, our system performs well accuracy.

[1] L. Cao, S. Zhou, and S. Yang, “Elevator Group Dynamic Dispatching System Based on Artificial Intelligent Theory,” IEEE International Conference on Intelligent Computation Technology and Automation, pp. 183-186, Oct. 2008.
[2] X. Yang, Q. Zhu, and H. Xu, “Design and Practice of an Elevator Control System Based on PLC,” IEEE Workshop on Power Electronics and Intelligent Transportation System, pp. 94-99, Aug. 2008.
[3] E. W. Kamen, M. J. Gazarik, and J. Napolitano, “A Course in Industrial Controls and Manufacturing for EE Students and Other Engineering Majors,” 1997 IEEE/ASME International Conference on American Control, pp. 3160-3165, Sept. 1997.
[4] M. Yousef Ibrahim, “Development of a Mechatronics Course at Monash University, Australia,” IEEE International Conference on Industrial Technology, pp. 1327-1332, Sept. 2002.
[5] 郭興家，機電整合概論，全華，2002年10月1日。
[6] B. Schmulling, R. Appunn and K. Hameyer, “Electromagnetic Guiding of Vertical Transportation Vehicles: Atate Control of an Over-determined System,” IEEE International Conference on Electrical Machines, pp. 1-6, Sept. 2008.
[7] L. Cao, Z. Zhang and J. Hou, “Dynamic Optimized Dispatching System for Elevator Group Based on Artificial Intelligent Theory,” IEEE International Conference on Electronic Measurement and Instruments, pp. 884-889, 2007.
[8] J. Zhou, T .Eguchi, S. Mabu, K. Hirasawa, J. Hu and S. Markon, “A Study of Applying Genetic Network Programming with Reinforcement Learning to Elevator Group Supervisory Control System,” IEEE Congress on Evolutionary Computation, pp. 3035-3041, 2006.
[9] D. B. Fogel, “An Introduction to Simulated Evolutionary Optimization,” IEEE Trans. Neural Networks, vol.5, no.1, pp. 3-14, Jan. 1994.
[10] K. T. Eguchi, J. H. Hu and S. Markon, “Elevator Group Supervisory Control Systems using Genetic Network Programming,” IEEE Congress on Evolutionary Computation, pp. 1661-1667, 2004.
[11] K. Hirasawa, T. Eguchi, J. Zhou, L. Yu, J. Hu and S. Markon, ”A Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming,” IEEE Transactions on Systems, pp. 535-550, 2008.
[12] L. Yu, Sh. Mabu, T. T. Zhang, K. Hirasawa and T. Ueno, “A Study on Energy Consumption of Elevator Group Supervisory Control Systems using Genetic Network Programming,” IEEE International Conference on Systems, pp. 583-588. 2009.
[13] D. Zhu and C. Wu, “Fuzzy Control of Group Elevators,” IEEE Conference on Computer, Communication, Control and Power Engineering, pp. 304-307, 1993.
[14] D. Gu and D. Yan, “Study on Fuzzy Algorithm of Elevator Group Control System,” IEEE International Conference on Challenges in Environmental Science and Computer Engineering, pp. 366-369, 2010.
[15] B. K. Chang, A. S. Kyoung, H. K. Lee and O. K. Jeong “Design and Implementation of FEGCS: Fuzzy Elevator Group Control System,” IEEE Biennial Conference of the North American Fuzzy Information Processing Society, pp. 109-113, 1996.
[16] I. S. Jung, B. M. Mulman, D. Thapa, L. J. Koo, J. H. Bae, S. H. Hong, S. Yeo, C. M. Park, S. C. Park and G. N. Wang, “PLC Contorl Logic Error Monitoring and Prediction using Neural Network,” IEEE Conference on Natural Computation, pp. 484-488, Oct. 2008.
[17] S. Zhou and S. Yang, “Elevator Group Dynamic Dispatching System Based on Artificial Intelligent Theory,” International Conference on Intelligent Computation Technology and Automation, pp. 183-186, Oct. 2008.
[18] Z. Zhang and J. Hou, “Dynamic Optimized Dispatching System for Elevator Group Based on Artificial Intelligent Theory,” International Conference on Intelligent Computation Technology and Automation, pp. 3-884 - 3-889, Jun. 2007.
[19] J. Qu and L. Liang, “Diagnostic Expert Systems from Dynamic Fault Trees,” International Conference on Reliability and Maintainability, pp. 444-450, Jan. 2004.
[20] H. Fan, Y. Yan and F. Yan, “Research of Dynamic Linked Lists for the Fault Tree Analysis Process,” IEEE International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering, pp. 93-96, 2012.
[21] B. Schmulling, R. Appunn and K. Hameyer, “Electromagnetic Guiding of Vertical Transportation Vehicles: State Control of an Over-determined System,” IEEE International Conference on Electrical Machines, pp. 1-6, 2008.
[22] 劉駿凱(民100年)， “應用案例是推理於半導體曝光設備故障診斷輔助系統”， 國立高雄應用科技大學電子工程研究所碩士論文。
[23] A. Aamodt and E. Plaza, “Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approashes,” Accepted by International Journal of computer and operations research, pp. 39-59, 2006.
[24] R. W. Blanning, “Organization Design as Expert System Design,” IEEE Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences, vol.4, pp. 3-12, 1991.
[25] X. Y. Huai and F. L. Xiong, “Research on New Architecture Intelligent Systems and its System Development Environment Visual XF6.1,” International Symposium on Intelligent Agriculture Information Technology, Beijing, P. R. China, pp. 1-4, Dec. 2000.
[26] 葉怡成，郭耀煌，專家系統方法應用與實作，全欣，民國80年。
[27] 張家豪，”智慧型電機接線實驗監控介面設計” 國立台灣師範大學工業教育學系，碩士論文，民國92年。
[28] J. Qu and L. Liang, “A Production Rule Based Expert System for Electronic Control Automatic Transmission Fault Diagnosis,” International Conference on Information Engineering and Computer Science, pp. 1-4, Dec. 2009.
[29] J. Qu and L. Liang, “Diagnostic Expert Systems from Dynamic Fault Trees,” International Conference on Reliability and Maintainability, pp. 444-450, Jan. 2004.
[30] E. Caillaud, D. Noyes, G. Anglerot and P. Padilla, “Integration of Expert System and Integer Programming for Optimization of Strategic Planning,” INRIA/IEEE Symposium on Emerging Technologies and Factory Automation, vol.1, pp. 137-144, 1995.
[31] Q. Zhang and Y. Jiang, “The Design of Fault Diagnosis Expert System about Temperature Adjustment System Based on CLIPS,” IEEE Second International Conference on Intelligent Computation Technology and Automation, pp. 576-579, 2009.
[32] J. M. Francioni and A. Kandel, “A Software Engineering Tool for Expert System Design,” IEEE Expert, pp. 33-41, 1988.
[33] K. P. Fink, C. J. Lusth and W. J. Duran, “A General Expert System Design for Diagnostic Problem Solving,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 553-560, 1985.
[34] B. H. Far, “Modeling, Extraction and Reuse of Organizational Knowledge,” IEEE International Conference on Systems, Man, and Cybernetics, vol.3, pp. 2068-2073, 2000.
[35] V. J. Contreras and J. C. Ferguson, “Knowledge Management; A System for Controlling the AI Development Environment for an Expert System Which Performs Satellite Anomaly Resolution,” IEEE Military Communications Conference - Communications - Computers, pp. 11.2.1-11.2.5, 1986.
[36] G. B. Lamont and M. W. Schiller, “The Role of Artificial Intelligence in Computer-aided Design of Control Systems,” IEEE Conference on Decision and Control, pp. 1960-1965, 1987.