This team will showcase Gallery One, which has brought the Internet of Things (IoT) and Big Data technology to Cleveland Museum of Art’s collection making art accessible in new ways and engaging new audiences. Established as a nonprofit in 2003, OneCommunity is working to turn Northeast Ohio into a Smart Region that directs resources to support technological innovation and superb overall quality of life for citizens. At the center is OneCommunity’s ultra-high-speed, fiber-optic broadband network, which provides data service for more than 2,300 public institutions such as hospitals, schools, libraries and government offices. This broadband network serves as a platform for innovation and collaboration, enabling a variety of beneficial programs and applications in healthcare, education, government and public safety. It is also an ideal test environment for researchers, technology companies and entrepreneurs. To contact this team please email : Marv Schwartz ([email protected])
Description: The goal of this action cluster is to provide innovative solutions for managing drinking water, wastewater, stormwater and source water resources efficiently and effectively. The smart decisions that balance energy usage with desired water quality and quantity will be supported through the development of cloud-based analytics that is driven with the “Big Data” from distributed array of environmental sensors. These “Internet of Things (IOT)” environmental sensors will be used to both monitor and control the environment. The new data will be supplemented with the data from the existing infrastructure such as SCADA historian databases and meter data. Additional data needs will be examined carefully to reduce their impact on operations. For example, water meter data is usually collected on a daily basis to prolong the battery life whereas the same data may be needed at five-minute intervals to generate an accurate demand picture. Innovative approaches that provide additional data through low-cost sensing and citizen participation will be explored. Challenges: 1. Cloud-based analytics, physics-based or just statistical, of environmental water data is in a development stage. Solutions that leverage the cloud architecture of worker machines that interact with distributed storage are not widely available. Enhancing existing solutions and developing new solutions will be a key challenge. 2. Selection and exploration of appropriate communications technologies will present some difficulties. The environmental sensors typically need to be ultra-low power devices that run on batteries for a long time. They will have to be coupled with appropriate communications backbones that support reliable transmissions over more than a mile. Some of these backbones are just beginning to emerge, and choosing pathways that replicable in multiple cities will a challenge. 3. The utilities are typically under-staffed and their personnel have several tasks related to keeping the business fully functional. The amount of time needed to explore the smart solutions that provide future benefits has to be carefully balanced against the time required to manage the current needs. Major Requirements: 1. Define a focus area for each of the water sectors, e.g., leak detection for drinking water, run-off reduction for stormwater, overflow reduction for wastewater. The municipal partners will play a major role in selecting these areas. 2. Define the energy related impacts of the potential solutions. For example, the leak reductions will reduce the total water pumped, and thereby reduce the pumping energy footprint. Some solutions may be more energy-intensive but provide better overall outcomes. 3. Define the analytics needed to address each area and the data required to support the analytics. 4. Select the sensors and the backbone needed to gather the data. The existing SCADA network may provide a portion of the data, and careful integration of the network will be required to address security concerns. 5. Develop novel computer network synthesis approaches that create a best-of-the-breed solution through the integration of existing high speed backbones such as fiber-optic with low-power wide area networks. 6. Develop software and hardware solutions that can be widely deployed and potentially open-sourced. Key Performance Indicators (KPIs): 1. Drinking water leak reduction of three percent in the first year, and a reduction in the water production cost that is comparable with the cost of leak detection. 2. Pumping energy reduction of one percent. 3. Run-off reduction of five percent during a storm event, and corresponding sewer overflow reduction. 4. Improvement in drinking water quality by five percent. Measurement Methods: All methods will involve the establishment of an existing baseline for each of the performance targets defined earlier. 1. The American Water Works Association (AWWA) loss control spreadsheet will be used to document the results. The number of leakage areas identified by the solution techniques will be another measure. 2. A typical water usage day will be selected for the energy measurement, and the energy usage from the different pumping stations will be obtained. Same measurements will be obtained for a day with similar demand that is supplied with the improved pumping schedule. 3. Flow sensors will be installed in a specific area to measure the run-off volumes before and after the implementation of a low impact development control, and overflows will also be monitored. 4. The customer complaints database will be used to define and monitor the water quality performance target. Standards/Interoperability: The lack of standards for data exchange of environmental data is a major issue. There is a significant body of work mainly related to the XML-based exchange of source water data, and the US EPA is relying on Environmental Sampling, Analysis and Results Data Standard (ESAR) and Water Quality Exchange (WQX). The Standard Energy Efficiency Data (SEED) Platform is used by DOE. However, there are no standards for the “Smart City Sensor Data.” Existing data exchange formats are mainly driven by the capabilities of the underlying transmission protocols. The commercial web services have adopted “REST with JSON payload” as their standard, and the environmental web services will need to be compatible with these commercial services so that all data, whether public or commercial, can be easily consumed. This project will develop web services that support “REST with JSON” as their public end-points. It will also develop draft standards for data packet definitions for the JSON datasets. This will be a critical piece of this work because JSON format can be interpreted in a variety of ways, and different interpretations can result in incompatibilities. The REST/JSON API will be defined to promote integration with the existing standards. Replicability, Scalability, and Sustainability: The key to replicability of the project achievements will be ensured through the development of a solid workflow that can be re-executed with minimal interactions with original stakeholders. Such a workflow will require the development of plug and play software and hardware to the extent feasible. The scalability of the solutions will be achieved through the deployment of distributed sensors, edge computing gateways and robust cloud backbones. A collaborative cloud-based platform to share learnings will support sustainability of the solutions. Project Impacts: The economic impact will be generated through the creation jobs in the areas of deployment and operations of the massive environmental sensor networks. The energy savings will be achieved through smart operations the promote efficiency and through demand management. The water conservation through leak detection has enormous implications for both sustainability and energy usage. Improved water quality management will support the goals in several areas, including the Safe Drinking Water Act (SDWA) and the source water protection mandates. All efforts to provide sustainable water resource management promote health through better water quality and improve well-being through better water recreation opportunities. Phase I Pilot/Demonstration June 2016: Three pilot projects will be carried out that will demonstrate the feasibility of the proposed approach in four vertical domains: drinking water, wastewater, stormwater and source water. These projects will share a common infrastructure for cloud computing and visualization, distributed sensing and low-power wide area network connectivity, and smart edge computing. The team will carry out core research to support the disruptive approaches needed to meet the project goals. Some level of KPI gathering will be carried out during this phase. The projects will be based on the critical needs of the municipal partners. Additional funding mechanisms will be explored to support the core activities during Phase II. Phase II Deployment June 2017: Learnings from the pilot projects will be applied to high priority areas for each municipal partner to define larger projects with measurable impacts that can be completed in one year. The replicability of these projects on a nationwide and worldwide basis will be a major consideration during the design phase. Potential new deployment targets will be identified and mechanisms for the new deployments will be created. A collaborative framework will be established to allow the team to disseminate the solutions and the knowledge to a larger audience.
Connected Collaboration is a free, open source high definition, high fidelity, point-to-point video conferencing solution over gigabit networks using commodity PC and Mac hardware. It runs between client computers and does not use an expensive MCU or conferencing bridge. We will show the difference in audio and video quality between video conferencing over the commodity internet and Connected Collaboration over gig networks. We will demonstrate several Connected Collaboration sessions including person-to-person and instructor-to-class, scenarios using GENI technology to replicate remote video streams in Chicago. Scenarios will include health and wellness, STEM education, and a duet between musicians in Cleveland and Chicago all done with commodity computers and webcams.