RIVERE℠ will support research involving automated wireless sensor networks, machine learning, predictive modeling, and big data through key relationships. Highlights of how RIVERE℠ will support emerging technologies are provided below. More detailed information can be found in the RIVERE℠ business plan.
RIVERE ℠ Center: Technology Support Features
The RIVERE℠ Center will serve as a smart facility with integrated technology. The facility will use the latest technology building management system to (a) promote energy efficiency through features like motion detectors and individualized room controls to automatically adjust lighting and ventilation, and (b) provide high-speed wireless capacity to partners and guests. The high-tech design of the RIVERE℠ Center, including flexible laboratory space that accommodates rapidly advancing technologies in lab-based research, will help researchers align with national water research priorities involving emerging technologies such as automated sensors, machine learning, predictive modeling, and big data. With its current partnership with the Virginia Tech School of Architecture, RIVERE℠ will explore the possibility of bringing the international award winning
‘FutureHAUS’ design to its onsite housing accommodations. Wireless Smart Sensor Networks
RIVERE℠ will help water researchers pilot and test emerging wireless sensor technologies through a collaboration with the
Virginia Innovation Partnership Corporation (VIPC) and its initiative in Stafford County. Smart Stafford is the first Smart City Testbed in Virginia involving an “Internet of Things” (IoT) platform, fully integrated with 5G and other emerging technologies for Smart Cities in the state. RIVERE℠ is also learning from Virginia Smart Community Testbed , a non-profit organization that accelerates and increases the impact of start-up businesses involved in IoT technology. RIoT has played a central role in developing the Smart Community Testbed and can serve as a critical liaison to help the RIVERE℠ Center’s research technology objectives align with the Testbed in efficient and synergistic ways. Through these developing relationships, RIVERE℠ will complement Smart Stafford’s Integrated Water Management initiative by connecting water researchers with the Testbed. RIVERE℠ can help water researchers pilot and test design ideas prior to implementation of the SmartRiver concept by (a) helping to find and develop sensors to collect desired data, (b) deploying sensors, (c) bringing data from sensors into the cloud, and (d) making those data available in an online dashboard. RIoT AI, Machine Learning, and Data Security
To support water research involving big data, predictive modeling, artificial intelligence (AI), and machine learning, RIVERE℠ is partnering with the
The A3 lab is interested in understanding the effects that episodic events have on detectable patterns in water quality data and developing ways to deal with those issues. Their overall goal is to improve water quality data to inform better decision-making while also improving data security. Through this collaboration, RIVERE℠ and the A3 lab can provide data storage and computing power, as well as expert guidance in AI/machine learning applications and data security with the understanding that resulting data from the SmartRiver project will be made publicly accessible for research and decision-making purposes. Artificial Intelligence Assurance and Applications (A3) lab at Virginia Tech. DONATE