skip to main content
10.1145/3139958.3139980acmconferencesArticle/Chapter ViewAbstractPublication PagesgisConference Proceedingsconference-collections
research-article

A Network Model for the Utility Domain

Published:07 November 2017Publication History

ABSTRACT

The existing network models in geographic information systems that are used to support the utility domain (e.g., water, wastewater, sewer, gas, electric, and telecommunications) have limitations and constraints that restrict the ability of these utility companies to effectively and accurately model the rapidly increasing complexity and sophistication of their networks. This is caused by the fact that utility domain places a very different set of requirements on a network model and the associated analytic operations compared to those, commonly found in transportation and social networks. Although many utilities have succeeded in implementing production systems on top of simple graph models, the solutions have often involved either having to author considerable amounts of custom application code to go with the model (an expensive and cumbersome proposition), or modifying their workflows in order to compensate for the limitations of the underlying graph model. This paper introduces a new utility-centric graph information model that is designed to directly support the complex modeling of utility infrastructures. The model is focused on supporting additional requirements for improved performance and scalability (by optimized data storage layouts), efficiency and productivity (by modeling of real-world concepts like devices with multiple terminals, inside-plant, etc.), data quality (by enforcing a business rule-based framework which prevents bad data from entering the system), real-time data acquisition (by supporting for field-based telemetry such as Advanced Meter Infrastructure -- AMI, and Supervisory Control

References

  1. Amin, S., and Wollenberg, B. 2005. Toward a smart grid: Power delivery for the 21st century. IEEE Power and Energy Magazine, 3, 5.Google ScholarGoogle Scholar
  2. Bakalov, P., Hoel, E., Menon, S., and Tsotras, V. 2009. Versioning of network models in a multiuser environment. In Proceedings of the 11th SSTD, Denmark, July 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Batty, P. 1990. Exploiting Relational Database Technology in GIS. Mapping Awareness, 4, 6 (July 1990).Google ScholarGoogle Scholar
  4. Childs, C. 2011. ArcGIS Network Analyst: Networks and Network Models. Esri Press, Redlands, CA.Google ScholarGoogle Scholar
  5. Evans, J., and Minieka, E. 1992. Optimization Algorithms for Networks and Graphs. Marcel Dekker, Inc., New York, NY.Google ScholarGoogle Scholar
  6. GE Digital Energy. 2015. Smallworld Core. http://www.gedigitalenergy.com/Geospatial/catalog/smallworld_core.htm.Google ScholarGoogle Scholar
  7. Hoel, E., Bakalov, P., Kim, S., and Brown, T. 2015. Moving beyond transportation: utility network management. In Proc. of the 23rd ACM SIGSPATIAL. Seattle, WA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. International Electrotechnical Commission. 2013. Energy management system application program interface -- Part 301: Common information model base. IEC 61970--301.Google ScholarGoogle Scholar
  9. Longley, P., Goodchild, M., Maguire, D., and Rhind, D. 1999. Geographical Information Systems, Principles, Techniques, Applications, and Management. Wiley Publishing Company.Google ScholarGoogle Scholar
  10. Mainguenaud, M. 1995. Modelling of the geographical information system network component. International Journal of Geographical Information Systems, 9, 6, 575--593.Google ScholarGoogle ScholarCross RefCross Ref
  11. Meehan, B. 2013. Modeling Electric Distribution with GIS, Esri Press, Redlands, CA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Morehouse, S. 1985. ARC/INFO: a geo-relational model for spatial information. In Proc. of International Symposium on Computer-Assisted Cartography (AUTOCARTO 7), Washington, DC, March 1985.Google ScholarGoogle Scholar
  13. National Communications System. 2004. Supervisory Control and Data Acquisition (SCADA) Systems. Tech. bulletin 04--1.Google ScholarGoogle Scholar
  14. U.S. Dept. of Energy. 2008. Advanced Metering Infrastructure, V 1.0. NETL, Washington, DC.Google ScholarGoogle Scholar

Index Terms

  1. A Network Model for the Utility Domain

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SIGSPATIAL '17: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
      November 2017
      677 pages
      ISBN:9781450354905
      DOI:10.1145/3139958

      Copyright © 2017 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 November 2017

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      SIGSPATIAL '17 Paper Acceptance Rate39of193submissions,20%Overall Acceptance Rate220of1,116submissions,20%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader