Abstract
Water Supply Systems (WSS) share close similarities with international standards that are widely used in the industry (specifically for food). Therefore, Industry 4.0 (I4.0) principles can integrate software modules and types of equipment among WSS developers and the end users. In this process, existing WSS devices and software applications may remain in use, which requests the coexistence and integration of these current systems. The purpose of the Cyber-Physical Systems (CPS) concept –as the basis of I4.0– into WSS should correspond to an entirely new way of thinking regarding the design of these systems. The CPS combines a virtual representation of embedded systems, real-time and deterministic systems with the physical part of cloud systems. For this reason, it is fundamental to create methods that guide WSS developers in deploying systems that can be easily changed over. The CPS transformation for WSS cannot be performed in a significant and single step but instead requests the applicability of a sequence of smaller steps. In this case, the formation of migration strategies is essential for the WSS adoption, with CPS playing a crucial role via modularization, reconfiguration, and decentralization that provide an encapsulation of their functions as services. There are some issues of the CPS design of the digitalization and implementation of self-* properties (self-organization, self-adaptation, self-optimization, and self-healing) which are vital from the I4.0. The inspiration from nature and biology helps developing adaptive, responsiveness, and evolvable systems. A particular case is that of holonic systems that are an elementary paradigm that can solve very complex problems. This work aims translating correctly the CPS purposes to the WSS domain, considering holonic attributes and constraints. It is expected that the encapsulation of CPS functionalities as services can hide the WSS complexity from the final users as black boxes. In this work, we consider that the management of the CPS in WSS is a Holonic Production Unit.
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References
Nam, T., Pardo, T.A.: Conceptualizing smart city with dimensions of technology, people, and institutions. In: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, pp. 282–291 (2011)
Moteff, J., Parfomak, P.: Critical infrastructure and key assets: definition and identification. In: The Library of Congress 101, Washington, DC, 20540-7500 (2004)
Chokshi, N., McFarlane, D.: A distributed architecture for reconfigurable control of continuous process operations. J. Intell. Manuf. (2008). https://doi.org/10.1007/s10845-008-0075-7
Zapata, M.G.: Propuesta Para la Planificación, Programación, Supervisión y Control de la Producción en Procesos Continuos Desde la Teoría del Control Supervisorio y el Enfoque Holónico. Ph.D. thesis, Facultad de Ingeniería, Universidad de Los Andes (2011)
World Economic Forum: 5 things you need to know about water (2019). https://www.weforum.org/agenda/2019/03/5-things-you-need-to-know-about-water/. Accessed 4 Apr 2019
World Economic Forum: Harnessing the Fourth Industrial Revolution for Water. Fourth Ind. Revolut. Earth Ser. (2018)
Gorre-Dale, E.: The dublin statement on water and sustainable development. Environ. Conserv. 19, 181 (2009). https://doi.org/10.1017/s0376892900030733
Cruz, S.L.A., Carvajal, J.H., Rojas, O.A., Chacon, E.: Cyber-physical system for industrial control automation based on the holonic approach and the IEC 61499 standard. In: Forum on Specification & Design Languages (FDL), Munich, Germany, pp. 5–16. IEEE (2018). https://doi.org/10.1109/FDL.2018.8524082
Leitão, P., Karnouskos, S., Ribeiro, L., et al.: Smart agents in industrial cyber physical systems. Proc. IEEE 104, 1086–1101 (2016)
Nasir, H.A., Muhammad, A.: Control of very-large scale irrigation networks: a CPS approach in a developing-world setting. IFAC Proc. 44, 10739–10745 (2011). https://doi.org/10.3182/20110828-6-IT-1002.03352
Ahmed, C.M., Palleti, V.R., Mathur, A.P.: WADI: a water distribution testbed for research in the design of secure cyber physical systems. In: Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, pp. 25–28. ACM, New York (2017)
Wei, Y., Li, S.: Water supply networks as cyber-physical systems and controllability analysis. IEEE/CAA J. Autom. Sin. 2, 313–319 (2015). https://doi.org/10.1109/JAS.2015.7152666
Lin, J., Sedigh, S., Miller, A.: A general framework for quantitative modeling of dependability in cyber-physical systems: a proposal for doctoral research. In: Proceedings of the International Computer Software and Applications Conference (2009)
Cruz, S.L.A., Mayer, F., Schütz, D., Vogel-Heuser, B.: Platform independent multi-agent system for robust networks of production systems. IFAC-PapersOnLine 51, 1261–1268 (2018). https://doi.org/10.1016/j.ifacol.2018.08.359
Nasir, A., Soong, B.H., Ramachandran, S.: Framework of WSN based human centric cyber physical in-pipe water monitoring system. In: 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 (2010)
Lubomir, V., Viliam, D., Tomas, S.: Heat production and distribution control system based on holonic concept. WSEAS Trans. Heat Mass Transf. 9, 226–233 (2014)
Pinto, J., Varum, H., Bentes, I., Agarwal, J.: A Theory of Vulnerability of Water Pipe Network (TVWPN). Water Resour. Manag. (2010). https://doi.org/10.1007/s11269-010-9655-3
Lin, J., Sedigh, S., Miller, A.: Towards integrated simulation of cyber-physical systems: a case study on intelligent water distribution. In: 8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009, pp. 690–695 (2009). https://doi.org/10.1109/dasc.2009.140
Marques, J., Cunha, M., Savić, D.A.: Multi-objective optimization of water distribution systems based on a real options approach. Environ. Model. Softw. 63, 1–13 (2015). https://doi.org/10.1016/j.envsoft.2014.09.014
Kotsilieris, T., Karetsos, G.T.: A mobile agent enabled wireless sensor network for river water monitoring. In: Proceedings of the 4th International Conference on Wireless Mobile Communications, ICWMC 2008, pp. 346–351 (2008). https://doi.org/10.1109/ICWMC.2008.71
Taormina, R., Galelli, S., Tippenhauer, N.O., et al.: Characterizing cyber-physical attacks on water distribution systems. J. Water Resour. Plan. Manag. 143, 04017009 (2017). https://doi.org/10.1061/(asce)wr.1943-5452.0000749
Sheikholeslami, R., Kaveh, A., Tahershamsi, A., Talatahari, S.: Application of charged system search algorithm to water distribution networks optimization. Int. J. Optim. Civ. Eng. 4, 41–58 (2014)
Cruz, S.L.A.: Automatización Industrial Inteligente: Una estructura de control desde el paradigma holónico de manufactura (Intelligent Industrial Automation: A control structure since the holonic manufacturing paradigm), 1st edn. Editorial Académica Española, Beau Bassin, Mauritius (2018)
Cruz, S.L.A., Rojas, A.O.A., Chacón, E.: Implementing industrial control automation for holonic manufacturing systems based on the production unit architecture. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds.) Service Orientation in Holonic and Multi-Agent Manufacturing: Proceedings of SOHOMA, Bergamo, Italy, 1st edn., pp. 1–14. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-03003-2_18
Herrera, M., Meniconio, S., Alvisi, S., Izquierdo, J.: Advanced hydroinformatic techniques for the simulation and analysis of water supply and distribution systems. Water 10, 440 (2018). https://doi.org/10.3390/w10040440
Charitopoulos, V.M., Papageorgiou, L.G., Dua, V.: Closed-loop integration of planning, scheduling and multi-parametric nonlinear control. Comput. Chem. Eng. (2018). https://doi.org/10.1016/j.compchemeng.2018.06.021
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Chacón Ramírez, E., Albarrán, J.C., Cruz Salazar, L.A. (2020). The Control of Water Distribution Systems as a Holonic System. In: Borangiu, T., Trentesaux, D., Leitão, P., Giret Boggino, A., Botti, V. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2019. Studies in Computational Intelligence, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-030-27477-1_27
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