An internet-based system for adding *real-time monitoring, control, and dashboards to existing and New infrastructure.

1. An internet-based system for adding real-time monitoring, control, and dashboards to existing and New infrastructure. OptiRTC

2. OptiRTC is… a means for adding real-time monitoring, conditional decision-making, control, and communications to existing infrastructure

3. OptiRTC is… a method of making existing and future active BMP technologies adaptive to changing environmental conditions (and maybe an incentive to add active controls to passive BMPs)

4. OptiRTC Overview Interfaces with in-the-field measurement devices and internet data feeds Logs data to secure cloud based solution Runs models on logged data – producing “Decision Space” data With measured data, decision-space data, and conditional logic… Actuates devices in the field Sends internet-based communications Client-specific data visualization/control dashboards and mobile applications

5. The User Experience: OptiRTC Dashboard Examples

6. The User Experience: OptiRTC Dashboard Example

7. Platform Architecture OptiRTCUser Interface Web Services and User Dashboards Internet Based Weather Forecast or other data sources (METSTAT or other Web service API Azure Tables/Blobs Data Logging and Telemetry Solutions OptiRTCData Aggregator and Decision Space Email Tweet SMS Voice Autodial Field Monitoring and Control (Sensors, Gauges, and Actuators)

8. Major OptiRTC Component Technologies Server Stack/Cloud Platform and Storage Solution Federated Authentication Service Physical-world interface Primary User Interface for Dashboards Future Mobile Applications

9. Key Design Features of OptiRTC Lay-friendly interface with no special software requirements for end users. Web-based integration of data collection, analysis, and control. Built out of proven technologies. Treats environmental data as simply another enterprise data stream. Easily customizable end-user experience. Scalable cloud-based data processing and storage. “Controllers” are just standard web services. ODATA Protocol Support. Very cost effective. Design feature details:

10. Key Design Feature 1 Built out of proven technologies. Highly flexible and scalable platform Cost effective. And… operating each component will only become less expensive as the service is scaled up, and as the component technologies continue to improve.

11. High Flexible Organic “System” Design Field hardware layer and user experience do not need to be directly coupled. SYSTEM 3 SYSTEM 1 SYSTEM 2 DECISION DATASET 1 DECISION DATASET 2 DECISION DATASET 3

12. OptiRTC NodesioBridge Controllers During Ongoing Installation at MBS – St. Louis, MO ioBridge Pro Controller

13. Key Design Feature 2 OptiRTC treats environmental data as simply another enterprise data stream. leverages readily available and powerful enterprise data management solutions and new developments as they occur. Database solutions Open source visualization, statistical analysis, reporting tools… Mobile platforms supported by a large and competent developer base (i.e., Microsoft Azure, Silverlight, HTML 5, etc…) Definition: Enterprise Data Stream: Precisely defined, easily integrated and effectively retrieved data for both internal applications and external communication. Data in well run modern corporations are enterprise data streams. (e.g., Geosyntec’s accounting data)

14. Key Design Feature 3 “Controllers” are just standard web services ANY internet-accessible structured dataset can be collected (e.g., weather feeds) and integrated into decision-space. Can be done in real-time.

15. Key Design Feature 4 Cloud-based data processing and storage No physical server hardware at Geosyntec Bandwidth availability (i.e., internet facing external connectivity of 99.95%) Forward compatibility. Massively redundant data storage. Scalability. 99.95% application uptime.

16. MS AZURE (OptiRTC Environment)

17. ODATA Protocol Support Clients can access their real-time data from within Microsoft Excel, or write their own web pages using their live data. Seamless support of modeling software Key Design Feature 5

18. Run Complicated Models in Real Time Run SWMM or other DSS model as part of decision space calculations. Incorporate spatial processing libraries. Control Active Systems in Real-time based on model output. MapWindow GIS .NET spatial processing library EPA SWMM Model

19. Some Typical OptiRTC Water Resources Applications

20. Technology Application - CSO Control >$10B in Green Infrastructure will be built over next 20 years as part of LTCP Compliance Requirements OptiRTC provides a high performance return on investment compared with passive control technologies or traditional grey infrastructure alone OptiRTC provides new solutions that are not possible with passive control Examples Advanced Rainwater Harvesting Systems Conventional Rainwater Harvesting is not a viable CSO control measure. Active Blue and Green Roofs Significant increased performance and reduced cost for same level of control Retrofit of existing ponds and water features Drawdown in advance of precipitation “Smart” Detention Instantaneous real-time detention coupled with in-sewer and weather monitoring/modeling Geosyntec DDOE Project Self-Cleaning Inverted Siphon Advanced Rainwater Harvesting System Design Rendering (Construction in May 2011)

21. Technology Application - CSO Control Simplest Definition of Advanced Rainwater Harvesting: Drain storage in advance of predicted rainfall or other trigger

22. Flow Comparison – DDOE Modeling Timing of release relative to forecast (blue line) allows for dramatic reduction in wet-weather discharge without giving up harvesting performance. Note no discharge during baseline event. Water remains in system for potential onsite use while providing improved CSO flow control. Drains only right before events. Detention tank empty except during rainfall.

23. Technology Application - CSO Control DDOE Modeling Summary Baseline runoff volume: 12,680 cf/yr Passive detention wet-weather runoff volume: 11,326 cf/yr 11% reduction OptiRTC controlled wet-weather runoff volume: 3,899 cf/yr 69% reduction in wet-weather flow volume Note no harvesting factored in, assumes accurate forecasts

24. Technology Application – Proposed Gowanas Canal Smart Detention Retrofit >85% reduction in wet weather volume with 950 gallon smart detention system >90% reduction in wet weather volume with 1200 gallon smart detention system

25. Technology Application – Proposed Gowanas Canal Smart Detention Retrofit SWMM Modeling of CSO reduction

26. Technology Application - Retrofit for CSO and Water Quality Control Retrofit outlet to drawdown pond or wetland (slightly) prior to rain events that might cause CSOs downstream Minimal Investment with High ROI for Client

27. Technology Application – Wetland Retrofit Depth Time Series and Average Hydraulic Residence Time for Uncontrolled Outlet Average Hydraulic Residence Time (hrs)13 days Depth Time Series and Average Hydraulic Residence Time for Actively Controlled Outlet Average Hydraulic Residence Time (hrs)24 days

28. Thank Youmquigley@geosyntec.com