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Key Takeaways In Washington, the City of Bellevue wanted to break away from the inefficiency of siloed operations and create a unified, data-based, smart-city strategy across all city departments. The Bellevue Smart Team tested a water module in its new City Portal, starting with a dashboard that would organize and optimize data for a better customer, utility, and city experience. The platform used to set up the City Portal allows for flexibility in adding modules and adopting new technologies.
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Propagation of cost-effective water level sensors powered through the Internet of Things (IoT) has expanded the available offerings of ingestible data streams at the disposal of modern smart cities. StormSense is an IoT-enabled inundation forecasting research initiative and an active participant in the Global City Teams Challenge seeking to enhance flood preparedness in the smart cities of Hampton Roads, VA for flooding resulting from storm surge, rain, and tides. In this study, we present the results of the new StormSense water level sensors to help establish the "regional resilience monitoring network" noted as a key recommendation from the Intergovernmental Pilot Project. To accomplish this, the Commonwealth Center for Recurrent Flooding Resiliency's Tidewatch tidal forecast system is being used as a starting point to integrate the extant (NOAA) and new (USGS and StormSense) water level sensors throughout the region, and demonstrate replicability of the solution across the cities of Newport News, Norfolk, and Virginia Beach within Hampton Roads, VA. StormSense's network employs a mix of ultrasonic and radar remote sensing technologies to record water levels during 2017 Hurricanes Jose and Maria. These data were used to validate the inundation predictions of a street-level hydrodynamic model (5-m resolution), while the water levels from the sensors and the model were concomitantly validated by a temporary water level sensor deployed by the USGS in the Hague, and crowd-sourced GPS maximum flooding extent observations from the Sea Level Rise app, developed in Norfolk, VA.
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Recent efforts to integrate Internet Of Things (IoT) technologies into Smart City constructs have proven successful through proof-of-concept deployments in multiple cities. To facilitate additional deployments, standardization and dissemination of best practices for these technologies is critical. To that effort, this work seeks to establish a framework in a set of IoT hardware, software, and wireless radio components that are flexible to address several use cases and easily replicable to new deployments. Moreover, the framework aims to be standards-based and to use best practices for cybersecurity to maintain security and privacy. The framework is developed, deployed, and tested through three sub-projects in different domains and a live testbed housed by a municipal government, collecting over 160 million distinct sensor records from eight physical locations over a period of 8 months. Additionally, the framework is replicated to a separate jurisdiction to prove ease of replicability. This work identifies common barriers to IoT adoption and replication, both technological and organizational, and enumerates the approaches that were taken to overcome those barriers in these projects.