A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring

Lorenz, Felix; Geldenhuys, Morgan K.; Sommer, Harald; Jakobs, Frauke; Luring, Carsten; Skwarek, Volker; Behnke, Ilja; Thamsen, Lauritz

doi:10.1109/bigdata50022.2020.9378138

Cited by 8 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the significant challenges identified was the impact of energy consumption on overall system performance in specific scenarios [56], [59], [89]. Additionally, regulatory compliance is critical, with potential legal and financial consequences for non-compliance [90]. Furthermore, deploying and maintaining sensors can be a significant barrier for many water utilities, particularly those operating on tight budgets [80], [85].…”

Section: ) Limitations and Gapsmentioning

confidence: 99%

“…As discussed in the reviewed literature, various solutions are proposed to resolve the communication and data transmission challenges. It was recommended to implement redundant systems to facilitate data transmission reliability and enhance connectivity [59], [90]. As well as LPWANs, long-range wireless technologies, and low-power wireless technologies have been suggested to decrease energy consumption and increase transmission efficiency [52], [56], [62], [82].…”

Section: ) Limitations and Gapsmentioning

confidence: 99%

“…Additionally, Sasirekha et al [116] and Islam et al [121] have presented graphical representations of real-time tracking and current environmental situations, respectively. On the other hand, Lorenz et al [90] have introduced the use of a GIS-web-based frontend to visualize processed sensor events on the water network map.…”

Section: ) Data Analytics and Visualizationmentioning

confidence: 99%

“…Another critical challenge, as indicated by prior research, pertains to sensorrelated limitations and challenges. Prasath et al [103], Lorenz et al [90], Pérez-Padillo et al [112], and Nair et al [97] emphasized the limitations of available sensors and the need for improved sensor devices that can be deployed in different locations and harsh environments. Calibration and maintenance of sensors also pose significant challenges, as noted by Sasirekha et al [116] and Dronavalli et al [105].…”

Section: ) Limitations and Gapsmentioning

confidence: 99%

See 3 more Smart Citations

IoT Innovations in Sustainable Water and Wastewater Management and Water Quality Monitoring: A Comprehensive Review of Advancements, Implications, and Future Directions

Alshami,

Ali,

Elsayed

et al. 2024

IEEE Access

View full text Add to dashboard Cite

This comprehensive review explores IoT innovations in water, wastewater management, and water quality monitoring, emphasizing the transformative potential of these technologies. Combining sociometric and systematic review (SR) techniques, the study analyzes scientometric trends and co-occurrence networks linked to review topics. Research primarily centers on these aspects, averaging 15 articles annually since 2017, peaking at 24 in 2021. The SR unveils the widespread use of multiple sensors in monitoring, particularly water level, flow, and pH sensors. Common wireless technologies are emphasized for their role in advancing real-time monitoring. Innovative protocols such as Sigfox and Zigbee enhance sensor-IoT connectivity, improving communication in infrastructure management. Common challenges hindering system efficiency and data flow include sensor accuracy, energy optimization, communication reliability, interdisciplinary collaboration, and sensor coverage. Addressing these gaps is crucial for advancing IoT-driven water systems and enhancing decision-making. This study guides IoT practitioners in integrating automation and sustainability in water and wastewater management.

show abstract

Section: ) Limitations and Gapsmentioning

confidence: 99%

Section: ) Limitations and Gapsmentioning

confidence: 99%

Section: ) Data Analytics and Visualizationmentioning

confidence: 99%

Section: ) Limitations and Gapsmentioning

confidence: 99%

See 2 more Smart Citations

IoT Innovations in Sustainable Water and Wastewater Management and Water Quality Monitoring: A Comprehensive Review of Advancements, Implications, and Future Directions

Alshami,

Ali,

Elsayed

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…For a comprehensive overview of the literature on MWSN for pipe inspection, see [7]. The use of a big fleet of sensors to monitor a pipe network requires solutions for data collection and scalable analytics [8,9]. However, to make use of the recorded data in the first place, the position in which the measurement was taken must be known.…”

Section: Introductionmentioning

confidence: 99%

GRAL: Localization of Floating Wireless Sensors in Pipe Networks

Haug¹,

Lorenz²,

Thamsen³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Mobile wireless sensors are increasingly recognized as a valuable tool for monitoring critical infrastructures. An important use case is the discovery of leaks and inflows in pipe networks using a swarm of floating sensor nodes. While passively drifting along, the devices must track their individual positions so critical points can later be located. Since pipelines are often situated in inaccessible places, large portions of the network can be shielded from radio and satellite signals, rendering conventional positioning systems ineffective.In this paper, we propose a novel algorithm for assigning location estimates to recorded measurements once the sensor node leaves the inaccessible area and transmits them via a gateway. The solution is range-free and makes use of a priori information about the target pipeline network. We further describe two extended variants of our algorithm which use data of encounters with other sensor nodes to improve accuracy. Finally, we evaluate all variants with respect to various network topologies and different numbers of mobile nodes in a simulation. The results show that our algorithm localizes measurements with an average accuracy between 4.81% and 7.58%, depending on the variability of flow speed and the sparsity of reference points.

show abstract

Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures

Geldenhuys

Will

Pfister

et al. 2021

2021 IEEE International Conference on Cloud Engineering (IC2E)

View full text Add to dashboard Cite

A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring

Cited by 8 publications

References 33 publications

IoT Innovations in Sustainable Water and Wastewater Management and Water Quality Monitoring: A Comprehensive Review of Advancements, Implications, and Future Directions

IoT Innovations in Sustainable Water and Wastewater Management and Water Quality Monitoring: A Comprehensive Review of Advancements, Implications, and Future Directions

GRAL: Localization of Floating Wireless Sensors in Pipe Networks

Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures

Contact Info

Product

Resources

About