由於人口不斷的增長，土地使用越來越稀少，相對高樓式建築越蓋越多，電梯需求必然相對增加許多，對於電梯的要求更是不斷的提升，除了傳統的電梯控制許多不同的智慧型控制理論因此應用於電梯系統之中，同時也增加了電梯監視及電梯群控系統。

本論文結合派翠網路所提出規則，規劃雙電梯之運作方式，並透過派翠網路規則簡單表示複雜的電梯系統，使系統在建置初期更加清楚了解運作流程，當系統在運作過程發生問題，我們可藉由派翠網路的關聯資訊找尋出錯的環節，並設計電梯故障分析系統，快速了解系統故障原因。

藉由本文提出的派翠網路設計系統，可以有效率的控制雙電梯運作並且管理者可透過記錄表介面了解電梯目前狀況，除此外系統本身能更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，進而減少維修時間。

Because population grows and the use of land decreases, high buildings relatively increase. Therefore, the demand of elevators is also increasing rapidly. Requirements of elevators are much more than before. In addition to traditional elevator control, there are various intelligent control theories had applied to elevator control system and also increased elevator monitors and elevator group-control system.
In this paper, we combine the rules that proposed by Petri Net to plan the operations of duo elevator, and simplify the complicated elevator system by following the Petri Net rules. Therefore, we can understand the operation process more clearly at the beginning of setting up the system. While some problems occur in the process, we can use the related information provided by Petri Net to find out where the problems are and then design an elevator-malfunctioned analyzing system in order to realize the reason of system failure.
According to the Petri Net design system which proposed in this paper, we can efficiently control the operation of duo elevator and through the interface of record form, system manager can realize current state of elevators. Additionally, 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. Therefore, this system can help us reduce maintenance time.

[1] C. F. Bergh, A. Kita, and I. C. Ume, “Development of mechatronics course in the school of mechanical engineering at georgia tech,” IEEE International Conference on Advanced Intelligent Mechatronics, pp. 459-465, Sept. 1999.
[2] E. W. Kamen, M. J. Gazarik, and J. Napolitano, “A course in industrial controls and manufacturing for EE students and other engineering majors,” IEEE International Conference on American Control, pp. 3160-3165, Sept. 1997.
[3] M. Y. Ibrahim, “Development of a mechatronics course at monash university, australia,” International Conference on Industrial Technology, pp. 1327-1332, Sept. 2002.
[4] M. Acar and R. M. Parkin, “Engineering education for mechatronics,” IEEE Transactions on Industrial Electronics, pp. 106-122, Sept. 1996.
[5] H. Vermaak, and G. Jordaan, “Automated component-handling system for education and research in mechatronics,” International Conference on AFRICON, pp. 1-7, Sept. 2007.
[6] D. V. Kodavade, and S. D. Apte, “Object oriented concurrent fault diagnostic system for 8051 based microcontroller system,” IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp. 38-41, Sept. 2007.
[7] Y. Jiang, H. Zhang, X. Song, X. Jiao, William N. N. Hung, M. Gu and J. Sun, “Bayesian network based reliability analysis of PLC systems,” IEEE Transactions on Industrial Electronics, pp. 99, 2011.
[8] N. Tohan, A. Sharma, and P. Bande, “Mobile controlled smart PLC with integrated SMS troubleshooting technique,” IEEE International Conference on Advances in Computing, Control, and Telecommunication Technologies, pp. 675-677, Dec. 2009.
[9] 民國101年10月18日，取自於：
http://www.taiwan-elevator.com/201.html
[10] T. S. Kim, H. S. Cho and D. K. Sung, “Moving elevator-cell system in indoor buildings,” IEEE International Conference on Vehicular Technology, pp. 1743-1751, Sep. 2000.
[11] J. He, W. Zhang , Y. Gao and C. Zhang, “Elevator system and control to achieve based on MCS-51 singlechip,” IEEE International Conference on Computer Science and Electronics Engineering, pp. 306-309, March 2012.
[12] E. Irmak, I. Colak, O. Kaplan and A. Kose, “Development of a real time monitoring and control system for PLC based elevator,” European Conference on Power Electronics and Applications, pp. 1-8, Sept. 2011.
[13] 民國101年11月27日，取自於：
http://sudalyl.iteye.com/blog/819193
[14] 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.
[15] D. Gu and D. Yan, “Study on fuzzy algorithm of elevator group control system,” International Conference on Challenges in Environmental Science and Computer Engineering, pp. 366- 369, March 2010.
[16] J. Tai, S. Yang and H. Tan, “Dispatching approach optimization of elevator group control system with destination floor guidance using fuzzy neural network,” World Congress on Intelligent Control and Automation, pp. 7085-7088, June 2008.
[17] A. Abdelhalim and I. Traore, “A new method for learning decision trees from rules,” IEEE International Conference on Machine Learning and Applications, pp. 693-698, 2009.
[18] T. Assaf and J. B. Dugan, “Diagnostic expert systems from dynamic fault trees,” IEEE International Conference on Reliability and Maintainability, pp. 444-450, July 2004.
[19] 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 control logic error monitoring and prediction using neural network,” Fourth International Conference on Natural Computation, pp. 484-488, Nov. 2008.
[20] A. Aamodt and E. Plaza, “Case-Based reasoning: foundational issues, methodological variations, and system approashes,” International Conference on Computing Communication & Networking Technologies, pp. 26-28, July 2012.
[21] Z. Zhaoli and H. Jue, “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.
[22] 江孟峰，專家系統導論工具應用，文魁，民國91年11月。
[23] 許覺良，專家系統，文魁，民國78年。
[24] 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。
[25] 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.
[26] C. Wenbin, L. X. Ling, H. C. Jiu and L. Yijun, “Knowledge base design for fault diagnosis expert system based on production rule,” IEEE Conference on APCIP, pp. 18-19, July 2009.
[27] J. S. Lee and C. C. Chuang, “Development of a petri net-based fault diagnostic system for industrial processes,” IEEE Conference on Industrial Electronics, pp. 4347-4352, Jun. 2009.
[28] W. Song and J. Hu, “Analysis and modeling of the elevator system based on colored cyber net,” WRI World Congress on Software Engineering, pp. 167-170, May. 2009.
[29] J. L. Peterson, “Peter net theory and the modeling of systems,” New Jersey : Prentice-Hall, INC., 1981.
[30] T. Murata, “Petri nets: properties, analysis and applications,” Proceedings of the IEEE, pp. 541-580, Apr. 1989.
[31] D. Thapa, S. Dangol and G. N. Wang, “Transformation from petri nets model to programmable logic controller using one-to-one mapping technique,” IEEE Conference on Computational Intelligence for Modelling, Control and Automation, pp. 228-233, Jun. 2005
[32] D. Liqian, Z. Qun and W. Lijian, “Modeling and analysis of elevator system based on timed-coloured petri net,” IEEE Conference on Intelligent Control and Automation, pp. 226-230, Jun. 2004.
[33] E. A. da Silva Oliveira, K. Gorgonio, A. Perkusich and A.F. Martins, “Obtaining formal models from ladder diagrams,” IEEE Conference on Industrial Informatics (INDIN), pp. 796-801, July 2011.
[34] J. Li, F. Deng and C. Wang, “Simulation of the intelligent control circuit based on petri net,” IEEE Conference on Computer Science, pp. 66-69, Jun. 2011.
[35] Y. C. Cho, Z. Gagov and W. H. Kwon, “Timed petri net based approach for elevator group controls,” IEEE Conference on Intelligent Robots and Systems, pp. 1265-1270, 1999.
[36] C. H. Lin and L. C. Fu, “Petri net based dynamic scheduling of an elevator system,” IEEE Conference on Robotics and Automation, pp. 192-199, Apr 1996.
[37] N. Saadallah , H. Meling, B. Daireaux, and L. C. Fu, “A simple machine in a complex environment,” IEEE Conference on Intelligent Engineering Systems (INES), pp. 387-392, June 2011.