Abstract
Internet of things (IoT) is expected to make our social life more convenient. In the IoT, various lifestyle tools measure the surrounding situation using sensors that send the data to a cloud. The cloud analyzes a set of the data, visualizes it and/or sends feedback to the “things.” However, there are many old facilities around us that were established in the past and do not have a sensing mechanism or the ability to send data, and so they become isolated from the concept of IoT. In this paper, we show that using an elevator for an example, even old equipment can be made efficient using IoT. We propose an IoT system that improves the fairness and efficiency by visualizing the crowdedness of an elevator, which has only one cage. When a certain floor gets crowded, unfairness arises in the users on the other floors as they are not able to take the elevator. Our proposed system improves the fairness and efficiency by guiding the user’s behavior. The edge device collects information such as the existence and the destination floor of users using beacon technologies. The cloud predicts the crowdedness based on the data transferred by MQTT. Additionally, this system does not require the elevator to have connectivity to the internet. Further, the simulation results of the effect of the proposed system are shown.
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References
Fujino, A., Tobita, T., Segawa, K., Yoneda, K., Togawa, A.: An elevator group control system with floor-attribute control method and system optimization using genetic algorithms. IEEE Trans. Ind. Electron. 44(4), 546–552 (1997)
Rajkumar, R.: Cyber-physical systems: the next computing revolution. In: Proceedings of the 47th Design Automation Conference, USA (2010, July)
Fernandez, J.R., Cortes P.: A survey of elevator group control systems for vertical transportation: a look at recent literature. IEEE Control. Syst. Mag. 35(4) (2015, August)
Matsumoto, T., Nakagawa, T.: Train net onboard information service for individuals. JR EAST Tech. Rev. (24)-Autumn 2012, 15–20 (2012)
Strakosch, G.R., Caporale, R.S.: The Vertical Transportation Handbook (4th). Wiley (2010, November)
Beielstein, T., Ewald, C.-P., Markon, S.: Optimal elevator group control by evolution strategies. In: Proceeding of the 2003 International Conference on Genetic and Evolutionary Computation, vol. 2, pp. 1963–1974 (2003)
Benkic, K., Malajner, M., Planinsic, P., Cucej, Z.: Using RSSI value for distance estimation in wireless sensor networks based on ZigBee. In: 2008 15th International Conference on Systems, Signals and Image Processing (2008, August 22)
Botta, M., Simek, M.: Adaptive distance estimation based on RSSI in 802.15.4 network. Radioengineering, 22(4), 1162–1168 (2013, December)
Institute of Electrical and Electronics Engineers: IEEE Std. 802.15.4-2003 Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (LR-WPANs) (2003, October)
Bluetooth Special Interest Group: Specification of the Bluetooth System
GPP TR 36.802: Narrowband Internet of Things (NB-IoT). Technical Report TR 36.802 V1.0.0, Technical Specification Group Radio Access Networks (2016, June)
LoRa Alliance: LoRaWAN What is it. Technical Marketing Work-group 1.0 (2015, November)
Raza, U., Kulkarni, P., Sooriyabandara, M.: Low power wide area networks: an overview. IEEE Commun. Surv. Tutor., 1–15 (2017)
IBM MQTT Protocol Specification. http://public.dhe.ibm.com/software/dw/webservices/ws-mqtt/mqtt-v3r1.html
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Hasegawa, H., Aida, S. (2020). Elevator Monitoring System to Guide User’s Behavior by Visualizing the State of Crowdedness. In: Lee, R. (eds) Big Data, Cloud Computing, and Data Science Engineering. BCD 2019. Studies in Computational Intelligence, vol 844. Springer, Cham. https://doi.org/10.1007/978-3-030-24405-7_6
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DOI: https://doi.org/10.1007/978-3-030-24405-7_6
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