Decision Support System Architecture for Real-Time Water Management

Gourbesville, Philippe; Du, Muqing; Zavattero, Elodie; Gaëtano, Marc

doi:10.1007/978-981-10-7218-5_17

Cited by 11 publications

(11 citation statements)

References 15 publications

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“…Therefore, to improve the water efficiency in a beverage factory, a well-aware real-time responsive water monitoring system is required [16]. Only through the availability of such a system can the communication, collaboration, and collective actions of all the stakeholders be considered and improved in implementing water-efficient practices [17,18]. This approach could provide detailed information on water usage activities to identify possible reasons for water wastage and to find opportunities to reduce water consumption.…”

Section: Introductionmentioning

confidence: 99%

An Internet of Things Approach for Water Efficiency: A Case Study of the Beverage Factory

et al. 2021

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There is a lack of knowledge among food manufacturers about adopting the Internet of Things (IoT)-based water monitoring system and its ability to support water minimisation activities. It is therefore necessary to investigate the applicability of IoT-based real-time water monitoring systems in a real food manufacturing environment to pursue water-saving opportunities accordingly. This article aims to propose an architecture of an IoT-based water-monitoring system needed for real-time monitoring of water usage, and address any water inefficiencies within food manufacturing. This article looks at a study conducted in a food beverage factory where an IoT-based real-time water monitoring system is implemented to analyse the complete water usage in order to devise solutions and address water overconsumption/wastage during the manufacturing process. The successful implementation of an IoT-based real-time water monitoring system offered the beverage factory a detailed analysis of the water consumption and insights into the water hotspots that needed attention. This action initiated several water-saving project opportunities, which contributed to the improvement of water sustainability and led to an 11% reduction in the beverage factory’s daily water usage.

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Section: Introductionmentioning

confidence: 99%

An Internet of Things Approach for Water Efficiency: A Case Study of the Beverage Factory

et al. 2021

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“…However, during the last 15 years, systematic data collection on topography, climate and hydrological variables has permitted to gather a significant knowledge on the main hydrological processes within the Var catchment. Since 2014, a new approach has been engaged with the AquaVar project dedicated to the development and implementation of a first DSS able to address a wide diversity of issues: from resources management to emergency situations management [3].…”

Section: Nice and The Var Catchment Contextmentioning

confidence: 99%

“…During the past 30 years, modelling systems for hydrology, hydraulics and water quality have been used as stand alone products and were introduced in order to produce an analysis of a current situation and to generate forecast according to different horizons. The current situation, characterized by the fast increase of monitoring devices mainly in the urban environments, requests an integration of the modelling tools into Information Systems (IS) that are now dedicated to the global management of urban environments and related services [2,3]. Energy distribution, water distribution, solid wastes collection, traffic optimization are today major issues for cities that are looking for functional Decisions Supports Systems (DSSs) that may integrated the various components and operate in a sustainable perspective.…”

Section: Introductionmentioning

confidence: 99%

“…Energy distribution, water distribution, solid wastes collection, traffic optimization are today major issues for cities that are looking for functional Decisions Supports Systems (DSSs) that may integrated the various components and operate in a sustainable perspective. The current demand is targeting classical monitoring outputs (real time monitoring) and request forecasts based on models (analytics) and providing sufficient information for an efficient management [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…The models used in this analytics domain start with basic statistical tools and go to complex determinist models such as those commonly used in hydroinformatics. This architecture concept for the urban information system is today commonly shared and appears as a consensus solution [1,3].…”

Section: Introductionmentioning

confidence: 99%

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AquaVar: Real Time Models for Underground and Surface Waters Management at Catchment Scale

Gourbesville¹,

Gaëtano²

EPiC Series in Engineering

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Management of water uses requests to harmonize demands and needs which are getting more complex and sophisticated. During the past 3 decades, modeling systems for hydrology, hydraulics and water quality have been used as stand alone products and were used in order to produce an analysis of a current situation and to generate forecast according to different horizons. The current situation requests an integration of the modeling tools into the information systems that are now dedicated to the global management of urban environments. Energy distribution, water distribution, solid wastes collection, traffic optimization are today major issues for cities that are looking for functional Decisions Supports Systems (DSSs) that may operate in a sustainable perspective. The basic requirement of real time assessment of the situation, the modeling systems identified as main elements of analytics and used for forecasts have to integrate a common framework allowing modular approach and interoperability. The paper presents the interest for a generic operational approach that could be implemented in order to address the management of water uses in a complex urban environment and to provide real time assessment and forecasts. The proposed approach is illustrated with application on Var catchment (3,000 km 2 ) located in the French Riviera.

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Smart river management: What is next?

Gourbesville

2022

River

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The growing complexity of the competition among uses and the emerging understanding of the synergy effects within the catchments and the rivers have underlined the need for information on various aspects of water: precipitations, discharges, velocities, and water depths are some of the basic characteristics that need to be studied for developing a management strategy that can identify and balance the various uses, ensure conservation of resources, and mitigate the potential effect of extreme events. At present, technical innovation provides the possibility to perform measurements on the field, to produce the needed information, and to move to a new paradigm for the management of rivers. This study analyzes the concept of smart river management that emerged recently with the wide spread of Information Technologies (IT) solutions and development of a new generation of sensors based on internet of things architecture. The analysis demonstrates that a holistic approach is needed for efficient management of rivers. The use of Information and Communication Technologies solutions can provide a real added value, but important efforts must be engaged for identifying key activities in the various domains that can benefit from the digital transformation. At the same time, this study introduces the paradigm of a river information system that encompasses the various activities taking place around the rivers and ensures gradual integration of the various IT components in a consistent environment that provides support to the many users of rivers. To achieve this objective, the current situation requires formalization of a roadmap and the need to address the various activities in a systematic way. Within this long‐term process, the digital twins concept represents a step toward the target water information system and has generated interest among professional communities.

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Decision Support System Architecture for Real-Time Water Management

Cited by 11 publications

References 15 publications

An Internet of Things Approach for Water Efficiency: A Case Study of the Beverage Factory

An Internet of Things Approach for Water Efficiency: A Case Study of the Beverage Factory

AquaVar: Real Time Models for Underground and Surface Waters Management at Catchment Scale

Smart river management: What is next?

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