skip to main content
10.1145/3369114.3369137acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicaaiConference Proceedingsconference-collections
research-article

Monitoring of Residential Drinking Water Service Consumption Using Human Machine Interaction (HCI) Techniques

Published: 21 January 2020 Publication History

Abstract

The integration of the drinking water network with information and communication technologies (ICTs) is the future of automated metering for users and service providers, the modern world cannot be conceived without water and the current infrastructure of manual metering, is poorly adapted to current needs, every day the demand for this vital liquid is greater and data collection from meters must be automated, allowing users to make queries of water consumption and tariffs to pay, however, it is necessary to create a centralized intelligent network with better adaptability to the meter; Implementing these technologies is expected to significantly reduce reading times in measurements, failure reports and changes in the drinking water network. In developing countries such as Ecuador, does not provide a metering infrastructure, however in the country, is thinking about creating Smart Grids for the adequacy of intelligent cities, a big step into the future.
This article presents an implementation proposal for Smart Water Meter (SWM), by means of a virtual assistant and a metering network, allowing to consult the m3 of water consumed per day, week and month, as well as the total amount to be paid per consumption, integrating hardware and free software, for greater security in communications.

References

[1]
Y. Nait Malek, A. Kharbouch, H. El Khoukhi, M. Bakhouya, V. De Florio, D. El Ouadghiri, S. Latre, C. Blondia, On the use of IoT and Big Data Technologies for Real-time Monitoring and Data Processing, In Procedia Computer Science, Volume 113, 2017, Pages 429--434, ISSN 1877-0509
[2]
Tram, H. (2010, April). Advanced metering infrastructure as an enabler of demand response. In IEEE PES T&D 2010 (pp. 1--1). IEEE.
[3]
Mustafa Alper Akkaş, Radosveta Sokullu, An IoT-based greenhouse monitoring system with Micaz motes, Procedia Computer Science, Volume 113, 2017, Pages 603--608, ISSN 1877-0509
[4]
Michele Albano, Luis Lino Ferreira, Luís Miguel Pinho, Abdel Rahman Alkhawaja, Message-oriented middleware for smart grids, Computer Standards & Interfaces, Volume 38, 2015, Pages 133--143, ISSN 0920-5489
[5]
Chilcañán, D., Navas, P., & Escobar, S. M. (2017, June). Expert system for remote process automation in multiplatform servers, through human machine conversation. In Information Systems and Technologies (CISTI), 2017 12th Iberian Conference on (pp. 1--8). IEEE.
[6]
http://www.iotsense.io/blog/the-layers-of-iot/.
[7]
Santos J., Vanhove T., Sebrechts M., Dupont T., Kerckhove W., Braem B., Van Seghbroeck G., Wauters T., Leroux P., Latre S., et al. City of Things: Enabling Resource Provisioning in Smart Cities. IEEE Commun. Mag. 2018;56:177--183.
[8]
Willis R.M., Stewart R.A., Panuwatwanich K., Williams P.R., Hollingsworth A.L. Quantifying the influence of environmental and water conservation attitudes on household end use water consumption. J. Environ. Manag. 2011;92:1996-2009.
[9]
Britton T.C., Stewart R.A., O'Halloran K.R. Smart metering: Enabler for rapid and effective post meter leakage identification and water loss management. J. Clean. Prod. 2013;54:166--176.
[10]
Loureiro D., Vieira P., Makropoulos C., Kossieris P., Ribeiro R., Barateiro J., Katsiri E. Smart metering use cases to increase water and energy efficiency in water supply systems. Water Sci. Technol. 2014;14:898--908.
[11]
Chilcañán, D., Navas, P., & Escobar, M. (2018, July). Virtual Assistant for IoT process management, using a middleware. In Proceedings of the 2018 2nd International Conference on Algorithms, Computing and Systems (pp. 209--213). ACM.
[12]
Jennifer Hill, W. Randolph Ford, Ingrid G. Farreras, Real conversations with artificial intelligence: A comparison between human--human online conversations and human--chatbot conversations, Computers in Human Behavior, Volume 49, 2015, Pages 245--250, ISSN 0747-5632.
[13]
Rodríguez, J. M., Merlino, H., & Fernández, E. (2014). Comportamiento Adaptable de Chatbots Dependiente del Contexto. Revista Latinoamericana de Ingenieria de Software, 2(2), 115--136.
[14]
Rodríguez, Juan, Merlino, Hemán y Fernández, Enrique. Comportamiento Adaptable de Chatbots Dependientes del Contexto. Facultad de Ingeniería, Universidad Nacional de Lanús. Argentina: s.n., 2014
[15]
Gianvecchio, S., Xie, M., Wu, Z., & Wang, H. (2011). Humans and bots in internet chat: measurement, analysis, and automated classification. IEEE/ACM Transactions on Networking (TON), 19(5), 1557--1571.
[16]
Tur, G., & Mori, R. D. (2011). Spoken language understanding: systems for extracting semantic information from speech. Hoboken, NJ: Wiley.
[17]
Stuart Rusell, Peter Norving 2003. Inteligencia Artificial, Un enfoque Moderno. Editorial Prentice Hall.
[18]
Sidorov, G., Ibarra Romero, M., Markov, I., Guzman-Cabrera, R., Chanona-Hernández, L., & Velásquez, F. (2016). Detección automática de similitud entre programas del lenguaje de programación Karel basada en técnicas de procesamiento de lenguaje natural. Computación y Sistemas, 20(2), 279--288.
[19]
D. Namiot and M. Sneps-Sneppe, "On iot programming," International Journal of Open Information Technologies, vol. 2, no. 10, 2014.
[20]
J. Zhou, R.Q. Hu and Y. Qian. "Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid". Parallel Distrib. Syst. IEEE Trans. Vol. 23 N°9, pp. 1632--1642. 2012. ISSN: 10459219.
[21]
J. Wu, Y.F. Kao and Y.C. Tseng. "From Wireless Sensor Networks Towards Cyber Physical Systems". Pervasive Mob. Comput. Vol. 7 N°4, pp. 397--413. 2011. ISSN: 15741192.
[22]
P. Li, S. Guo, S. Member and Z. Cheng. "Joint Optimization of Electricity and Communication Cost for Meter Data Collection in Smart Grid". Emerg. Top. Comput. IEEE Trans. Vol. 1 N° 2, pp. 297--306. 2013. ISSN: 21686750.

Cited By

View all
  • (2023)Examining Factors of Acceptance and Use of Technology in Digital Services in the Context of EcuadorCloud Computing, Big Data & Emerging Topics10.1007/978-3-031-40942-4_13(171-185)Online publication date: 11-Aug-2023

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICAAI '19: Proceedings of the 3rd International Conference on Advances in Artificial Intelligence
October 2019
253 pages
ISBN:9781450372534
DOI:10.1145/3369114
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • Northumbria University: University of Northumbria at Newcastle

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 January 2020

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Chatbot
  2. ESP8266
  3. Human-Machine(H2M)
  4. Instant Messaging
  5. IoT
  6. Machine-Machine(M2M)
  7. Natural language processing
  8. Smart Meters
  9. Telegram
  10. Virtual Assistant

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ICAAI 2019

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)11
  • Downloads (Last 6 weeks)0
Reflects downloads up to 20 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2023)Examining Factors of Acceptance and Use of Technology in Digital Services in the Context of EcuadorCloud Computing, Big Data & Emerging Topics10.1007/978-3-031-40942-4_13(171-185)Online publication date: 11-Aug-2023

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media