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Zastosowanie inteligentnych sieci czujników i systemów monitorowania do zarządzania gospodarką wodno-kanalizacyjną w obszarach zurbanizowanych

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
EN
Smart networks of sensors and monitoring systems for water and sewage management in urban areas
Języki publikacji
PL
Abstrakty
PL
W artykule przedstawiamy system do kontroli poziomu nieczystości ciekłych w zbiornikach bezodpływowych, wykorzystywanych głównie w gospodarstwach domowych. System ten to zespół kilku powiązanych elementów realizujących jako całość zadanie polegające na przekazaniu końcowemu użytkownikowi informacji o stanie napełnienia zbiornika. Ponadto, umożliwia analizę poziomu ścieków wskazując na ewentualną eksfiltrację ścieków lub infiltrację wód gruntowych.
EN
In this article, we present a system for controlling the level of liquid waste in septic tanks, commonly used mainly in households. The system is a set of several interrelated elements that perform, as a whole, and proceeding the information about the filling status of the tank to the end-user with. In addition, it enables the analysis of the level of sewage, indicating a possible exfiltration of sewage or infiltration of groundwater.
Rocznik
Strony
142--148
Opis fizyczny
Bibliogr. 29 poz., rys., tab.
Twórcy
  • Przedsiębiorstwo „TELETRANS-ELCOMP” Sp. z o.o, ul. Czechowicza 5A Kraków
  • Przedsiębiorstwo „TELETRANS-ELCOMP” Sp. z o.o, ul. Ks. Łazarskiego 1 Limanowa
  • Katedra Melioracji i Kształtowania Środowiska, Wydział Inżynierii Środowiska i Geodezji, Uniwersytet Rolniczy w Krakowie, ul. Mickiewicza 24/28 30-059 Kraków
Bibliografia
  • [1] Al Mamun M.A., Hannan M.A., Hussain A., Basri H., Theoretical model and implementation of a real time intelligent bin status monitoring system using rule based decision algorithms. Expert Systems with Applications, (2016), n. 48, 76-88
  • [2] Ardanza A., Moreno A., Segura Á., de la Cruz M., Aguinaga, D., Sustainable and flexible industrial human machine interfaces to support adaptable applications in the Industry 4.0 paradigm. International Journal of Production Research, (2019), 1-15
  • [3] Balakrishnan S., Rani S.S., Ramya K. C., Design and Development of IoT Based Smart Aquaculture System in a Cloud Environment. International Journal of Oceans and Oceanography, 13 (2019), n. 1, 121-127
  • [4] Bian D., Kuzlu M., Pipattanasomporn M., Rahman S., Shi D. Performance evaluation of communication technologies and network structure for smart grid applications. IET Communications, 13 (2019), n. 8, 1025-1033
  • [5] Bublitz M., Oetomo F., Sahu A.S., Kuang K., Fadrique A.X., Velmovitsky L. E., Nobrega P. R., Morita P.P., Disruptive Technologies for Environment and Health Research: An Overview of Artificial Intelligence, Blockchain, and Internet of Things. International Journal of Environmental Research and Public Health, 16 (2019), n. 20, p.3847.
  • [6] Chen T., Barbarossa S., Wang X., Giannakis G.B,. and Zhang Z.L., Learning and Management for Internet of Things: Accounting for Adaptivity and Scalability. Proceedings of the IEEE, 107 (2019), n. 4, 778-796
  • [7] Cox S., Johnson N., and Price M., The Internet of Things. A Baseline of Development: Higher Education and Technology, (2019), 29
  • [8] Din S., and Paul A., Smart health monitoring and management system: Toward autonomous wearable sensing for internet of things using big data analytics. Future Generation Computer Systems, (2019), n. 91, 611-619
  • [9] Gómez J. E., Marcillo F. R., Triana, F. L., Gallo V.T., Oviedo B. W., Hernández V. L. IoT for environmental variables in urban areas. Procedia Computer Science, (2017), 109, 67-74
  • [10] Janhunen J., Mikhaylov K., Petäjäjärvi J., Sonkki M., Wireless Energy Transfer Powered Wireless Sensor Node for Green IoT: Design, Implementation and Evaluation. Sensors, 19 (2019), n. 1, 90
  • [11] Khattak H. A., Farman H., Jan B., Din I. U., Toward integrating vehicular clouds with IoT for smart city services. IEEE Network, 33 (2019), n. 2, 65-71
  • [12] Ke F., Huang X., Zeng W. and Liu Y., Sum Throughput Maximization for MIMO Wireless Powered Communication Networks with Discrete Signal Inputs. IEICE Transactions on Communications, 102 (2019), n. 5, 1037-1044
  • [13] Marsal-Llacuna M. L., Colomer-Llinàs J., Meléndez-Frigola J., Lessons in urban monitoring taken from sustainable and livable cities to better address the Smart Cities initiative. Technological Forecasting and Social Change, (2015), n. 90, 611-622
  • [14] Nassar M. A., Luxford L., Cole P., Oatley G., Koutsakis P., The Current and Future Role of Smart Street Furniture in Smart Cities. IEEE Communications Magazine, 57 (2019), 6, 68-73
  • [15] Nazneen, S., Chowdhury M.M.J., and Sabuj S.R., Analysis of delay sensitive performance in cognitive wireless sensor networks. Internet Technology Letters, 2 (2019), n. 3, p.e98
  • [16] Ni J., Lin X., and Shen X.S., Toward Edge-Assisted Internet of Things: From Security and Efficiency Perspectives. IEEE Network, 33 (2019), n. 2, 50-57
  • [17] Ostad-Sharif A., Arshad H., Nikooghadam M., Abbasinezhad- Mood D. Three party secure data transmission in IoT networks through design of a lightweight authenticated key agreement scheme. Future Generation Computer Systems, (2019), 100, 882-892
  • [18] Pires F.M., Mendes L.D.S., and Quiñonez L.L., Integrated system architecture for decision-making and urban planning in smart cities. International Journal of Distributed Sensor Networks, 15 (2019), n 8, p.1550147719867829
  • [19] Qian Y., Wu D., Bao W., Lorenz P. The internet of things for smart cities: Technologies and applications. IEEE Network, 33 (2019), n. 2, 4-5
  • [20] Rahman M. A., Rashid M. M., Hossain M. S., Hassanain E., Alhamid M. F., Guizani M. Blockchain and IoT-based cognitive edge framework for sharing economy services in a smart city. IEEE Access, (2019), 7, 18611-18621
  • [21] Rashid B., Rehmani M. H., Applications of wireless sensor networks for urban areas: A survey. Journal of network and computer applications, (2016), 60, 192-219.
  • [22] Saleem Y., Crespi N., Rehmani M. H., Copeland R. Internet of things-aided Smart Grid: technologies, architectures, applications, prototypes, and future research directions. IEEE Access, (2019), 7, 62962-63003
  • [23] Thangaramya K., Kulothungan K., Logambigai R., Selvi M., Ganapathy S., Kannan A. Energy aware cluster and neurofuzzy based routing algorithm for wireless sensor networks in IoT. Computer Networks, (2019), 151, 211-223
  • [24] Yousuf O., and Mir R.N., A survey on the Internet of Things security: State-of-art, architecture, issues and countermeasures. Information & Computer Security, 27 (2019), n. 2, 292-323
  • [25] Zhang K., Ni J., Yang K., Liang X., Ren J., Shen X. S., Security and privacy in smart city applications: Challenges and solutions. IEEE Communications Magazine, 55 (2019), n. 1, 122-129
  • [26] Zeinolabedini M., Najafzadeh M. Comparative study of different wavelet-based neural network models to predict sewage sludge quantity in wastewater treatment plant. Environmental Monitoring and Assessment, 191 (2019), 3, 163
  • [27] Zhang F., Chang Z., Niu K., Xiong J., Jin B., Lv Q., Zhang, D. Exploring LoRa for Long-range Through-wall Sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, (2020), n. 4(2), 1-27
  • [28] Sikora A. Modelowanie i symulacja rozproszona mobilnych sieci ad-hoc.Politechnika Warszawska Warszawa (2015).
  • [29] Vuran M.C., Silva A.R., Communication Through Soil in Wireless Underground Sensor Networks – Theory and Practice Springer, Berlin, Heidelberg, 309-347
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-36b42085-a8df-490b-b8b1-be0d7556c31e
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