Research on the Functional Framework and Business Model of Advanced Metering Infrastructure

2013 ◽  
Vol 805-806 ◽  
pp. 1210-1214
Author(s):  
Kai Wang ◽  
Bo Zeng ◽  
Hong Liu ◽  
Long Wang ◽  
Tao Zhu

In order to constructure and promote the intelligent grid demonstration community project, this paper presents the functional framework and business model of Advanced Metering Infrastructure (AMI). Firstly, the basic conception of AMI is introduced. Secondly, the functional framework of AMI is constructured, which contains metering data management, user interaction, electricity data collection and electrical appliances control. After that, the business model of metering data managing, user interacting, electricity data collecting and electrical appliances controlling are proposed. At last, the whole work in this paper is concluded. The functional framework and business model provide the theoretical reference for the construction of the intelligent grid demonstration community project in China.

Author(s):  
KISHORE PESHWANI ◽  
SWAPNA CHOUDHARY

An Energy Efficient Advanced Metering infrastructure (EEAMI) is proposed for meter data collection and energy management. The best solution for collecting data from electronic/digital energy meters, based on displacement of public, tends to be replaced by modern solutions: Automated Meter Reading (AMR). AMR means to automatic collection of data from meters and send them to a central station. An Energy efficient Advanced Metering Infrastructure (AMI) is an AMR infrastructure with bidirectional meters. These meters are called smart meters they are connected to the gateway through power lines and gateway communicates to the central station which can be a computer. The central station communicates through GSM.


Shore & Beach ◽  
2020 ◽  
pp. 92-101
Author(s):  
Richard Raynie ◽  
Syed Khalil ◽  
Charles Villarrubia ◽  
Ed Haywood

The Coastal Protection and Restoration Authority (CPRA) of Louisiana was created after the devastating hurricanes of 2005 (Katrina and Rita) and is responsible for planning and implementing projects that will either reduce storm-induced losses (protection) or restore coastal ecosystems that have been lost or are in danger of being lost (restoration). The first task of the CPRA board was to develop Louisiana’s first Coastal Master Plan (CPRA 2007), which formally integrates and guides the protection and restoration of Louisiana’s coast. The System-Wide Assessment and Monitoring Program (SWAMP) was subsequently developed as a long-term monitoring program to ensure that a comprehensive network of coastal data collection activities is in place to support the planning, development, implementation, and adaptive management of the protection and restoration program and projects within coastal Louisiana. SWAMP includes both natural-system and human-system components and also incorporates the previously-developed Coastwide Reference Monitoring System (CRMS), the Barrier Island Comprehensive Monitoring (BICM) program, and fisheries data collected by the Louisiana Department of Wildlife and Fisheries (LDWF) in addition to other aspects of system dynamics, including offshore and inland water-body boundary conditions, water quality, risk status, and protection performance, which have historically not been the subject of CPRA-coordinated monitoring. This program further facilitates the integration of project-specific data needs into a larger, system-level design framework. Monitoring and operation of restoration and protection projects will be nested within a larger hydrologic basin-wide and coast-wide SWAMP framework and will allow informed decisions to be made with an understanding of system conditions and dynamics at multiple scales. This paper also provides an update on the implementation of various components of SWAMP in Coastal Louisiana, which began as a Barataria Basin pilot implementation program in 2015. During 2017, the second phase of SWAMP was initiated in the areas east of the Mississippi River. In 2019, development of SWAMP design was completed for the remaining basins in coastal Louisiana west of Bayou Lafourche (Figure 1). Data collection is important to inform decisions, however if the data are not properly managed or are not discoverable, they are of limited use. CPRA is committed to ensuring that information is organized and publicly available to help all coastal stakeholders make informed, science-based decisions. As a part of this effort, CPRA has re-engineered its data management system to include spatial viewers, tabular download web pages, and a library/document retrieval system along with a suite of public-facing web services providing programmatic access. This system is collectively called the Coastal Information Management System (CIMS). CPRA and U.S. Geological Survey (USGS) are also developing a proposal to create an interface for CIMS data to be exported to a neutral template that could then be ingested into NOAA’s Data Integration Visualization, Exploration and Reporting (DIVER) repository, and vice versa. DIVER is the repository that the Natural Resource Damage Assessment (NRDA) program is using to manage NRDA-funded project data throughout the Gulf of Mexico. Linking CIMS and DIVER will make it easier to aggregate data across Gulf states and look at larger, ecosystem-level changes.


1999 ◽  
Vol 39 (4) ◽  
pp. 193-201
Author(s):  
P. J. A. Gijsbers

The need for integrated analysis poses a request for integration of computer models, paying extra attention to interfaces, data management and user interaction. Sector wide standardization using data dictionaries and data exchange formats can be a great help in streamlining data exchange. However, this type of standardization can have some drawbacks for a generic framework for model integration. Another concept, called Model Data Dictionary (MDD), has been developed as an alternative for proper data management. The concept is a variant on the federated database concept, a concept where local databases maintain their autonomy, while an interconnection database provides a link for sharing data. The MDD is based on a highly generic data model for geographic referenced objects, which if needed facilitates mapping of the sector wide data dictionary. External interfaces provide, in combination with a data format mapping component, a link to SQL-based data sources and model specific databases. A generic Object Data Editor (ODE), linked to the MDD, has been proposed for provision of a common data editing facility for mathematical models. A test version of the combined MDD/ODE-concept has shown the applicability for integration of all kinds of geographic object oriented mathematical models (both simulation and optimization).


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