Immanni, Rishi

Rishi leads the Asset Management Initiative for Utility Infrastructure at Dewberry. His work focuses on utility infrastructure business solutions such as Enterprise Asset Management, Utility Master Planning, GIS applications and CMMS systems. Rishi earned a Master Degree in Civil Engineering from Univ. or New Mexico and an MBA from Univ. of Central Florida. He is also a registered Professional Engineer and a GIS Professional

Titles from this speaker

'Harnessing Data for Business Intelligence': An Enhanced Asset Management Tactic

Abstract

Many Utilities are interested in adopting or improving Asset Management (AM) practices. Often the push to produce voluminous plans and the potential absence of an actionable roadmap makes the process overwhelming. Following asset inventory, Utilities often seek to answer three key questions through an AM plan: Where do we need to spend our budget? What enduring maintenance issues must be addressed this year? What is the risk if projects are postponed or maintenance issues delayed? Data is gathered through GIS, hydraulic models, CMMS, CCTV and field work, and SCADA. While the quantity of data can be formidable, streamlining the data collection and leveraging this data to support decision making and capital planning is the accepted AM best management practice. Increasingly, Utilities are looking for better and more cost-effective ways to track, manage, and optimize their asset life cycle. While some of the operations and drivers may be similar, every Utility is different – a unique DNA of people and culture with unique core investments and fiscal realities. Each organization matures differently, making different value decisions at various points in time. A successful AM strategy tends to be a right-sized approach for an organization; one that fits the way Utility managers think, work, and make decisions. As utility organizations look to optimize resources and prepare for the future, many seek ready access to data regarding capital assets. Engineering advisors play a key role in helping clients identify, document, and access this information to support maintenance and capital improvement projects. One such example, Union County Public Works (UCPW) has partnered with Dewberry to successfully align technology with cost-effective business practices and decision-making. This paper reviews the benefits of sound, data-driven management to optimize the life cycle of assets.

SpeakerImmanni, Rishi

Presentation time

15:50:00

16:10:00

Session time

15:30:00

16:10:00

SessionSmarts in Linear Asset Management

Session number210

TopicAsset Management, Facility Operations and Maintenance, Municipal Wastewater Treatment Design, Utility Management and Leadership

Author(s)

R. ImmanniK. Logsdon Jr.B. LaFranchiL. FawcettA. LoftonA. Neff

Author(s)R. Immanni1; K. Logsdon Jr.1; B. LaFranchi1; L. Fawcett2; A. Lofton2; A. Neff2;

Author affiliation(s)Dewberry, GA1; Union County Public Works, NC2

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2020

DOI10.2175/193864718825157839

Volume / Issue

Content sourceWEFTEC

Word count11

Description: Leveraging Business Intelligence from Legacy Data to Optimize Utility Operations and...

Leveraging Business Intelligence from Legacy Data to Optimize Utility Operations and Decision Making

Abstract

The value of implementing GIS and Asset Management tools to support the study, planning, design, operations, maintenance, and upgrades of utility infrastructure is rapidly increasing for utility owners and their support teams. These tools support more manageable manipulation of vast data sets and facilitate the creation of compelling visuals that increase efficiency and allow for more accurate and thoughtful approaches to solving problems commonly observed in utility infrastructure projects. The City of Chelsea, MA. (City) identified a need for a robust Asset Management (AM) system that can leverage existing legacy data, extracting the necessary business intelligence to inform the decision-making process. This included enhancing data visualization and providing the right access to the right data at the right time to the city stakeholders to optimize day-to-day utility operations. The City collaborated with Dewberry and provided their vision for modernizing the water, sewer, drainage, and transportation infrastructure. In particular, the City's 'SMART Infrastructure for Tomorrow' Plan identified goals toward the creation of products that would streamline workflows for the Department of Public Works. These products included: 1.LiDAR-generated base map of the entire City. 2.Geospatial layers for existing infrastructure and available private utilities. 3.Hydraulic models to inform a fully separated City-wide drainage system. 4.Comprehensive inventorying of all infrastructure, including existing conditions and lifecycle. 5.Capital plan separated into 5-year periods focused on critical Infrastructure The City identified that these needs could be addressed through the implementation of a master plan program, which included planning/technical support and improvements to their GIS and Asset Management Systems. These improvements would include data reconnaissance, review of existing available data, gap analysis, tracking of available construction records, data attribution/incorporation of readily available resources (including newly acquired City-wide LiDAR topography and spherical imagery), and piloting of an ArcGIS Online-integrated field data collection program. A review of the City's Sewer GIS databases would provide a better understanding of the different attribute fields, data schema, and their data contents. This included writing a description for each field and identifying fields that should be deleted, archived, modified, or updated with current information. GIS data pertaining to the existing water distribution system, storm water drainage system, and sanitary sewer system were updated as required for modeling efforts and as opportunities for field data collection arose. These updates were based on City Records or direct field data collection. A validation procedure was also used to check for compatibility with infrastructure modeling software (Innovyze InfoWorks ICM and Bentley WaterCAD) and to do a preliminary connectivity and topology check. A field data collection application suite was also piloted for the City's Cross Connection Control program. This was built by integrating Survey123 with several ArcGIS Online applications — All paper inspection forms (including Backflow Prevention Device Inspection & Maintenance forms and Cross Connection Survey forms) were converted to digital survey forms that can be completed from any device, and the system is linked to the City's GIS, a network drive, and the City's email systems. The solutions and tools used in these efforts are scalable and sustainable which can be applied to any linear infrastructure asset such as water, wastewater, reclaimed water, storm water, and oil/natural gas systems for informed decision making. They provide the necessary business intelligence for making informed asset management decisions based on current conditions and available infrastructure data. This streamlined approach allows for the leveraging of existing data repositories to support and improve infrastructure Asset Management, ultimately providing a plan to focus the limited available resources and funding on the most immediate needs.

This paper was presented at the WEF/AWWA Utility Management Conference, February 21-24, 2022.

SpeakerImmanni, Rishi

Presentation time

15:30:00

16:00:00

Session time

15:30:00

17:00:00

SessionAsset Management: Tools and Technologies

Session number27

Session locationHyatt Regency Grand Cypress, Orlando, Florida

TopicAsset Management, Business Intellligence, Capital Planning, Decision Making, GIS Application, Pipe, Prioritization, Technology Comparison

Author(s)

R. ImmanniP. GarveyM. HanleyL. Mammolette

Author(s)R. Immanni 1; P. Garvey 2; M. Hanley 3; L. Mammolette 4

Author affiliation(s)UMC Speaker 1; UMC Speaker 2; UMC Speaker 3; City of Chelsea, Dept. of Public Works 4

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Feb 2022

DOI10.2175/193864718825158223

Volume / Issue

Content sourceUtility Management Conference

Word count14

Leveraging Collaborative Approaches to Build Customized Asset Management Programs

Abstract

The value of implementing GIS and technology tools to support planning, operations and maintenance is rapidly increasing for utility owners. These tools support manageable manipulation of datasets and facilitate the creation of compelling visuals that increase efficiency and allow for accurate and thoughtful approaches to solving ageing infrastructure challenges. Our objective is to highlight a series of collaborative approaches and tools that we have developed to support the management of utility infrastructure. These approaches are derived from our experience working with numerous distribution and collection systems while leveraging the skills and expertise of multiple professionals with varied backgrounds.

The following conference paper was presented at WEFTEC 2021, October 16-20, 2021. To read the full abstract, see "Abstract" tab below.

SpeakerImmanni, Rishi

Presentation time

11:20:00

11:40:00

Session time

11:00:00

12:00:00

SessionData Accuracy in Asset Management

Session number209

TopicAsset Management, Intelligent Water, Policy and Regulation, Utility Management and Leadership

Author(s)

Rishi Immanni

Author(s)R. Immanni1; G. Pearson5; L. Fawcett6; S. Pandey3; L.V. Mammolette7; M. Hanley4; K. Logsdon2;

Author affiliation(s)Dewberry, Fairfax, VA1,2,3,4Prince William County Service Authority,Woodbridge, VA5Union County Public Works, Monroe, NC 6City of Chelsea Department of Public Works. Chelsea, MA7

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2021

DOI10.2175/193864718825158031

Volume / Issue

Content sourceWEFTEC

Word count10