2015 XVIII AISEM Annual Conference 978-1-4799-8591-3/15/$31.00 ©2015 IEEE An Integrated Infrastructure for Distributed Waste Water Quality Monitoring and Decision Support S. De Vito, G. Fattoruso, A. Buonanno, B. Lanza, L. Capezzuto, C. Tebano, M. Salvato, A. Agresta, F. Ambrosino, F. Formisano, P. Delli Veneri, G. Di Francia Portici Research Center, ENEA (Italian Agency for New Technologies, Energy and Sustainable Economic Development) P.le E. Fermi, 1, 80055, Portici (NA), Italy Email: saverio.devito@enea.it A. Leopardi, C. Di Cristo, B. Kumar Dip. Ing. Civile e Meccanica, Università di Cassino e del Lazio Meridionale, Via G.Di Biasio, 43, Cassino (FR) M. Panico, F. Scognamiglio, M. Amore AceaGori Servizi S.c.a.r.l. - Via ex Aeroporto snc -80038 Pomigliano D’Arco (NA) Abstract— : Waste water management plant protection is a major concern for water cycle management entities. The rapid identification and possible localization of anomalous or even malicious waste liquids immissions may allow for undertaking pollution risk mitigation actions (e.g. using of ancillary basins) and reduce maintainance costs. Pervasive monitoring of the transport network is hence needed although economic and technical issues prevent its implementation. The SIMONA project is aimed to design, deploy and test an integrated, intelligent, pervasive monitoring infrastructure based on a network of low cost/low mainteinance quali-quantitative multisensor nodes. A scalable data processing facility permit the ingestion and the processing of the data stream while a set of models provide for quali-quantitative forecasting increasing the manager situational awareness about the smart infrastructure. All the information is made available via a GIS based Web HCI. Keywords—sensor networks;waste water management; decision support I. INTRODUCTION (HEADING 1) The modern smart city concept significantly involves the optimal management of the several utilities at the base of the city life. In the last few years, there is a growing concern about environmental issues due to the unlawful or uncorrect urban and industrial drains into the sewer. These in turn may induce catastrophic effects on the waste water management plants and significant damages to the environment and economy of the affected city (see Fig.1). The capability to distributely monitor the sewage transport process and prevent damages to the waste management plant as well as pollution events is hence nowadays highly relevant and actively researched [1]. SiMONA (Integrated System for Environmental Monitoring) is a research project that aims to build an innovative infrastructure for decision support in waste water networks management based on pervasive monitoring. The monitoring process is carried out by a hybrid network built up by inexpensive smart sensors and commercial available multisensory devices. The main goals of SIMONA process are actually the remote monitoring of water quality along the sewage infrastructure, the identification of anomalous/malicious drains along the infrastructure and the production of water quality forecasting in several significant nodes including waste water management plant. In order to reach these goals, several challenges should be tackled including the limited knowledge on sewage network infrastructure that generally affects the infrastructure management entities. Moreover, the applicative framework generates additional constraints like the strongly heterogeneous connectivity availability along the network, the high cost of sensor mainteinance/recalibration that is needed for contact sensors due to harsh conditions and sewage water aggressiveness, the complexities of source localization problem and the non stationary behavior of the sensed variables that preclude the use of simple anomaly detection algorithms. These constraints have been tackled with ad-hoc design and development actions.In this work, we intend to present the SiMONA infrastructure, introducing the global architecture and its base components. Fig. 1:Effects on the sea water of waste water management infrastructure malfunctions.