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題名：AIoT自助洗車系統與運營分析之研究
作者：劉淑芬
作者(外文)：Shu-Fen Liu
校院名稱：義守大學
系所名稱：工業管理學系
指導教授：魏乃捷
學位類別：博士
出版日期：2023
主題關鍵詞：自助洗車系統；智慧物聯網；決策樹；類神經網路；Self-service Car Wash System；Artificial Intelligence of Things (AIoT)；Decision Tree；Neural Network；ARIMA
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隨著智慧物聯網(AIoT)興起，將現階段自助洗車平台由傳統經營模式藉由整合及導入後，透過自助洗車雲端數位服務及營運數據分析與統計服務，提供使用者多元支付數位服務，也可隨時追蹤場域維運狀況，以數位化方式改善傳統經營建置雲端整合性服務平台。
本研究利用消費者的交易數據，收集消費者、設備等資料，使用ARIMA預測車位數、決策樹與類神經網路模型預測消費者回頭率，期望對於高回頭率的顧客應給予較好的服務，未來的行銷模式也施以差異化。
在傳統產業轉型數位化過程中，針對傳統的消費及服務習慣，建立經營者及消費者共同使用的平台，掌握科技落實人工智能（AI）和物聯網（IoT）的系統建置雲端標準化介面，將投幣式的機械服務，整合行動支付，建立會員系統，提升數位服務品質，減少人力耗損，將數據探勘做有效利用，這將帶來新型態消費的自助洗車發展。
With the rise of Artificial Intelligence of Things (AIoT), the traditional business model adopted by car washes has introduced mobile payment methods and integrated with a self-service car wash digital platform. This platfom provides users with a variety of digital payment services through cloud-based self-service car wash services and operational data analysis and statistical services. The on-site maintenance and operation status of car wash equipment can be tracked in real-time through the platform, and traditional operations can be digitally improved to establish a cloud-based service platform.
This study collects consumer transaction data via car wash equipment and adopts the Autoregressive Integrated Moving Average (ARIMA) model to predict the availability of car wash spaces. Besides, decision trees and neural network models are utilized to predict the repeat consumption rate of customers.
During the digital transformation process of the traditional car wash industry, this study established an innovative platform to correspond to the traditional consumption and service habits of business owners and consumers. By integrating artificial intelligence (AI) and the Internet of Things (IoT), this platform builds a standard cloud-based interface that combines coin machine services with mobile payments, provides a membership system to enhance digital service quality, reduce labor costs, and take advantage of data mining, encouraging the development of a new self-service car wash model.
Abid, A., Hasan, T. , Baig, T. & Jadoon, A. (2016), Design and development of automatic carwash system, 2016 IEEE Conference on Systems, Process and Control (ICSPC), pp. 58-63, doi: 10.1109/SPC.2016.7920704.
C. G. Sărăcin and A. Ioniţă (2020), Educational platform for simulating the operation of an automatic car wash machine, 2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE), pp. 1-4.
Cheng, C. (2020), Introduction to Machine Learning, Taipei City: TopTeam Information Co., Ltd.
Cho T Buele, J., Quilumba, D., Ilvis, D.I., Saá, F., Salazar, F.W. (2021), Carwash station prototype with automatic payment using intelligent control systems. In: Botto-Tobar, M., Montes León, S., Camacho, O., Chávez, D., Torres-Carrión, P., Zambrano Vizuete, M. (Eds) Applied Technologies. ICAT 2020. Communications in Computer and Information Science, 1388. Springer, Cham. https://doi.org/10.1007/978-3-030-71503-8_18
Cho Thet Nwe, Ma Naing. (2019), Design and implementation of mini car washing, Journal of Trend in Scientific Research and Development (ijtsrd), 3(5), pp.1662-1665.
E. Kazan, C.W. Tan, E.T.K. Lim, C. Sørensen, & J. Damsgaard (2018), Disentangling digital platform competition: The case of UK mobile payment platforms, Journal of Management Information Systems, 35(1), pp.180-219.
F. Mumtaz , A. Saeed , M. Nabeel, S. Ahmed. (2021), Autonomous car washing station based on PLC and HMI control. 4th Smart Cities Symposium, pp. 103-107. DOI: 10.1049/icp.2022.0322.
Hesen Li. Zixian Zheng.(2020), Innovative design of self-service car wash service system. Springer Nature Switzerland AG 2020.J. H. Abawajy et al. (Eds.): ATCI 2019, AISC 1017, pp. 189–196, 2020. https://doi.org/10.1007/978-3-030-25128-4_25
J.R. QUINLAN.(1986), Induction of decision trees, Mach Learn 1 , 81–106 https://doi.org/10.1007/BF00116251
Jiunn-Woei Lian&Ji Li(2021).The dimensions of trust: An investigation of mobile payment services in Taiwan. Technology in Society Volume 67, November 2021, 101753 https://doi.org/10.1016/j.techsoc.2021.101753
Liao, S.H., & Wen C.H. (2019), Data Mining: Artificial Intelligence and Machine Learning Development (In the case of SPSS Modeler), New Taipei City: DrMaster Press Co., Ltd.
M. Zhilevski and V. Hristov. (2021), Design of an Automated Car Washing System with Verilog HDL,2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2021, pp. 1-5.
M. de Reuver, E. Verschuur, F. Nikayin, N. Cerpa, H. Bouwman (2015), Collective action for mobile payment platforms: a case study on collaboration issues between banks and telecom operators. Electron. Commer. Res. Appl., 14 (2015), pp. 331-344, https://doi.org/10.1016/j.elerap.2014.08.004
Madan, K. and Yadav, R. (2016), Behavioural intention to adopt mobile wallet: a developing country perspective, Journal of Indian Business Research, 8 (3), pp. 227-244. https://doi.org/10.1108/JIBR-10-2015-0112
Milan Jocevski,Antonio Ghezzi,Niklas Arvidsson (2020), Exploring the growth challenge of mobile payment platforms: A business model perspective. Electronic Commerce Research and Applications Volume 40, March–April 2020, 100908.
Myles, A.J., Feudale, R.N., Liu, Y., Woody, N.A. and Brown, S.D. (2004), An introduction to decision tree modeling. J. Chemometrics, 18, pp. 275-285.
R.J. Kauffman, D. Ma.(2015), Special issue: contemporary research on payments and cards in the global fintech revolution. Electron. Commer. Res. Appl., 14 (2015), pp. 261-264, https://doi.org/10.1016/j.elerap.2015.09.005
Raj Deepak Singh,Sunny Nigam, Sagar Aggrawal, Md. Raish Neelgar, Shivendra Kaura, Kailash Sharma.(2021), Design of car washing control system based on PLC. Journal of Physics Conference Series 1732:012158. DOI:10.1088/1742-6596/1732/1/012158
Ren-Zong Kuo.(2020), Why do people switch mobile payment service platforms? An empirical study in Taiwan. Technology in Society Volume 62, August 2020, 101312. https://doi.org/10.1016/j.techsoc.2020.101312
Safavian, S. R. & Landgrebe, D. (1991), A survey of decision tree classifier methodology," in IEEE Transactions on Systems, Man, and Cybernetics, vol. 21, no. 3, pp. 660-674, May-June 1991, doi: 10.1109/21.97458.
Schumpeter, J.A. (1980), Theory of economic development Routledge, Abingdon, UK (1980).
Sun, P. (2020), Design of self-service car washing machine control system based on ARM. Journal of Physics Conference Series 1605(1):012025. DOI:10.1088/1742-6596/1605/1/012025.
Y. Yu, L. Kurnianggoro and K. Jo. (2015), Design of intelligent car washing system, 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp. 1447-1450, doi: 10.1109/SICE.2015.7285513.
Yang Lu (2019), Artificial intelligence: a survey on evolution, models, applications and future trends, Journal of Management Analytics, 6(1), pp.1-29.
 
 
 
 
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