GeoViewer Summit
Learn how you can use GIS and IoT to more efficiently manage assets and operations.
In-person tickets are sold out. Please register for our Free Livestream of the event.
9 a.m. - 4 p.m.
700 N Haven Ave, Ontario, California, US, 91764
Get the insights you need to manage
water utility and wastewater assets.
This event brings together GeoViewer users of all backgrounds. It promises to provide compelling content and insight into how your peers are applying GeoViewer to achieve organizational objectives, meet regulatory requirements, manage water loss, and maintain a high level of responsiveness.
The GeoViewer Summit connects water and wastewater industry professionals to discuss and exchange ideas and information to enhance your user experience and optimize Nobel's GeoViewer products.
Gain the Knowledge to Manage Assets & Operations
Stay ahead of the curve with predictive analytics
Don't wait for a problem to happen before taking action. See how GeoViewer can help you gain insight and stay ahead of the game with predictive analytics. Monitor water quality in real-time, or use learn how to use GeoViewer to analyze and predict potential pipeline failures before they happen.
Automate your asset management
Streamline your asset management operations and save time. Learn how to use GeoViewer to integrate your billing and inventory systems to take control of water utility and wastewater treatment center assets. Spend less time on paperwork and more time on asset optimization.
Streamline your operations with GIS
Find out how to unify your water utility and wastewater treatment center operations with GeoViewer. Eliminate paper processing and use GIS data at your fingertips to process work orders and billing faster, easier, and more accurately. Maximize efficiency and minimize risk with the power of GIS.
What is the GeoViewer Summit?
Nobel Systems staff, clients, and partners will share insights on how you can use GeoViewer for:
- Asset Management
- Work Order Management
- Billing
- Predictive Analytics
- IoT Real-Time Monitoring
- Citizen Engagement
- Compliance Reporting
- Hydrant Flushing
- 811/DigMark Ticketing SystemSewer Line Cleaning
- Valve Isolation & Flushing
- and more!
Featured Speakers
City of Hesperia
Mr. Greene has served as GIS Manager for the City of Hesperia, Calif., in the High Desert for 11 years. Before that, he was the city's senior engineering assistant for 10 years.
Mr. Greene also teaches GIS part-time at Victor Valley College in the Agriculture Natural Resources Department.
The city uses Nobel Systems' Geoviewer, Mobile, and Public Viewer to provide city employees and the public with accurate GIS data. Hesperia's employees use GeoViewer Mobile for Dig-Alert tickets and water valve inspections.
"GIS supports every city department, including public works and code enforcement," Mr. Greene says. "Our city employees rely on GIS platforms in the field, office, or from home."
Mr. Greene has lived in the High Desert since 1972. He has been married for 36 years. The couple's 25-year-old son is working on his master’s degree in religious studies.
El Toro Water District
Mr. Miazga has worked with the El Toro Water District for 18 years. Mr/ Miazga grew up in a small town south of Kalamazoo, MI, called Centreville and moved to CA at 21. He holds a bachelor's and Master's in Business Administration, with a concentration in Management Information Sciences, from California State University.
Mr. Miazga's mission is to give his coworkers, both office and field, the tools and information they need in a timely, reliable, secure manner to do their jobs most efficiently.
He is an IT "jack-of-all-trades," with responsibilities ranging from networks and phone systems and hardware and software decisions to fixing the gas pumps when they go down.
Mr. Miazga lives in Diamond Bar with his 15-year-old son and 13-year-old daughter and enjoys spending time baking bread and disc golfing.
Rowland Water District
Mr. Coleman was appointed General Manager of Rowland Water in 2014 after serving as the district's Assistant General Manager. He reports directly to the Board of Directors and provides leadership and direction to a team of 26 hard-working professionals. Mr. Coleman is responsible for the decision-making and management that allows the district to fulfill its mission of delivering high-quality, reliable water to 62,000 people every day.
Mr. Coleman's career in the water industry spans more than 24 years, having served in leadership roles for several water agencies in the region, including Bellflower-Somerset Mutual Water Company for two years and Orchard Dale Water District in Whittier for six years. While at Orchard Dale Water District, he founded and chaired the "Central Basin Small Water Producers Group," established to protect the groundwater interests of smaller groundwater rights holders/producers.
Valencia City Water District
Ms. Paluga has been the General Manager of Valencia City Water District for more than 12 years. She oversees the district's operations, delivering clean and safe water to 25,000 people daily.
Ms. Paluga is a Career Executive Service Eligible and a Senior Member of the Royal Institute of Public Administrators, Singapore, and a fellow of the Rotary Club of Metro Valencia. She is also a member of various water district associations, including as Executive Director of NORMIN-NRMC, Inc.; Secretary of the Philippine Association of Water Districts; and Bukidnon Association of Water Districts. She is also the current auditor of the Mindanao Association of Water Districts.
An enthusiast for women's empowerment, she is one of the mentors of WEDU, an international organization that envisions half of the world leaders as women. She is also a certified member of Pinoy Atleta Community, Jumprope Philippines, and a Spartan racer.
OUR PARTNERS
XiO Water Systems:
For any selected individual water pipe for condition assessment, the field inspection tends to be expensive and labor intensive, thus making it critical that the selected group of pipes to be field-inspected be the most deteriorated candidates to justify costs. This is typically a question left unknown since, beyond the tested pipe, it’s difficult to extrapolate field information about an individual pipe for system-wide recommendations.
Fracta’s digital ML-based software has directly addressed this ambiguity in prioritizing pipes for rehabilitation, repair, or replacement activities by developing the best-industry machine learning-based model for predicting future water pipes that will experience failures, enabling water utilities to plan for emergency response and mitigate unforeseen failure impacts proactively. Fracta’s software produces an accurate model using machine learning to predict water main Likelihood of Failure (LoF) scores, direct utility leak detection efforts, better focus preventative maintenance crews, validate capital replacement plans, and aligns master planning efforts. With 90% of water assets being location-based and most water main pipe data in GIS files, the intersection of GIS and ML was inevitable for both analysis and visualization. This new technology, with 20-30% improvement over traditional methods, help utilities make fast, accurate, and cost-efficient decisions associated with water main repair, rehabilitation, and replacement.
Our presentation will review how agencies in Southern California (such as City of Hawthorne, City of El Segundo, Orange County Sanitation District, Santa Margarita Water District, and South Coast Water District) are leveraging smart sewer technology to gain real-time visibility into their collection systems. This data can be used to help prevent SSOs (sanitary sewer overflows) at manholes and lift stations. This data can also be used proactively by enabling users to pinpoint SSO-causing blockages and optimizing sewer cleaning at high-frequency locations. Remote real-time monitors also provide a means to identify Inflow and Infiltration (I&I), correlate I&I to rain events, and focus inspection on high-impact locations. Finally, agencies can monitor H2S levels in their sewer systems, use the data to identify odor and corrosion problem areas, and use real-time data to optimize chemical dosing used to reduce H2S levels.
