{"title":"A Network Model for the Utility Domain","authors":"P. Bakalov, E. Hoel, Sangho Kim","doi":"10.1145/3139958.3139980","DOIUrl":null,"url":null,"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","PeriodicalId":270649,"journal":{"name":"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3139958.3139980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
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
地理信息系统中用于支持公用事业领域(例如,水、废水、下水道、燃气、电力和电信)的现有网络模型具有局限性和约束,限制了这些公用事业公司有效和准确地模拟其网络快速增长的复杂性和复杂性的能力。这是因为与交通和社交网络中常见的需求相比,实用领域对网络模型和相关的分析操作提出了一组非常不同的需求。尽管许多实用程序已经成功地在简单的图模型之上实现了生产系统,但解决方案通常涉及到必须编写大量的自定义应用程序代码来配合模型(这是一个昂贵而繁琐的命题),或者修改它们的工作流以弥补底层图模型的局限性。本文介绍了一种新的以公用事业为中心的图形信息模型,该模型旨在直接支持公用事业基础设施的复杂建模。该模型的重点是支持提高性能和可扩展性(通过优化数据存储布局)、效率和生产力(通过对现实世界概念的建模,如具有多个终端的设备、工厂内部等)、数据质量(通过实施基于业务规则的框架,防止不良数据进入系统)、实时数据采集(通过支持基于现场的遥测,如Advanced Meter Infrastructure—AMI)、及监督控制