The document describes the design and implementation of a GIS-based support system for gas distribution network design. Key points include:
- The system was developed to improve the design process by integrating spatial and non-spatial data, standardizing procedures, and facilitating analysis and visualization.
- A geodatabase model was created and implemented in ArcGIS to manage network data during all stages of the design. Twenty-seven specialized processes were developed for designing and extending the distribution network.
- Testing showed the system provides a framework for managing data and executing the full design process in a standardized way from inputting maps and consumption data to hydraulic modeling and network layout. This improves over disconnected existing methods.
This document outlines a GIS-based solution for city gas distribution networks presented by Reza Nourjou. It discusses the basic stages of city gas distribution networks and the advantages of using GIS technology at each stage, including better data management, analysis, and decision making. The document then describes the design and development of a GIS system called GasGIS for managing city gas distribution networks. It provides examples of how GasGIS can be used for tasks like marketing, network design, demand allocation, hydraulic calculations, reliability evaluation, project workflow management, and emergency response. The conclusion emphasizes that a GIS-based approach can help reduce costs, reduce time, and increase efficiency for city gas distribution projects through improved data handling and decision support
In this slide I have presented the use of ARC GIS in city gas distribution sector. Although, I have not covered the detailed use of ARC GIS. You can surely get an idea of ARC GIS in city gas distribution sector.
Smart Grids:Enterprise GIS For Distribution Loss Reduction in Electric Utilit...HIMADRI BANERJI
1. The document discusses implementing an Enterprise GIS system for two power distribution companies in Delhi, BRPL and BYPL, to help reduce distribution losses and improve customer service.
2. Key goals of implementing GIS include reducing outage times, stopping power theft, improving asset management, and achieving a zero fatality safety rate.
3. The implementation plan includes developing GIS data models, capturing network and customer data digitally, integrating GIS with other systems like SAP and SCADA, and providing network analysis tools.
4. Estimates show the project has a payback period of less than 1 year and will generate over $400 million in additional revenue over 3 years with returns of 138%, making
Precision Farming (PF) is introduced and history in short is reviewed. Essential activities of GPS locating, soil mapping, GIS dataprocessing and presentation and VRT application are described. Basic principles of PF are shown to be:
• Precision Farming is the management process of within-field variability.
• This management must bring profit or at least reduce the risk of loss
• This management must reduce the impact of farming on environment.
Techniques used in Precision Farming are described. Economics of Precision Farming is discussed. A general cost/benefit analysis and profitability of PF are reviewed. The price of PF adoption facing a farmer is discussed. Methods of process analysis and activity based costing are shown as useful instruments for PF process analysis and model building. PF process is analysed and process graph is developed.
Confident Data Integration and QC with FMESafe Software
Utility Solutions have used FME over the last two years to perform asset type data transfers between different GIS data formats such as CAD and GIS. They found the existing tools in FME are very useful for data analysis and quality control. Their primary usage of FME is for automated QC, data conversion and data extraction at a low cost with a high level of confidence.
This ordinance amends the subdivision and development regulations for Georgetown, Kentucky to require digital submissions of subdivision plats and development plans in addition to hard copy submissions. The amendment establishes standards for digital file formats, data layers, labeling, and coordinate systems to ensure consistency and compatibility with the local geographic information system. Digital submissions must be provided when final plats and plans are recorded to facilitate data sharing across agencies and keep maps up to date.
Timmons Group ESRI Replication SolutionsTimmons Group
The document discusses developing an automated method for integrating and sharing geospatial data between local governments and emergency response agencies in Virginia. The proposed solution would use ESRI ArcGIS software to establish daily replication of GIS data between the source databases of Rockingham County and Harrisonburg City and the target database at the Harrisonburg Rockingham Emergency Communications Center. This would provide near real-time updates of critical map layers like addresses and roads to 911 dispatchers, improving their ability to locate callers. The goals are to streamline data sharing, establish data standards, and create a framework for geospatial collaboration across agencies.
FME is used at PNM for a wide variety of purposes including:
1. Buffering underground utility lines and formatting outage data for maps
2. Processing new service data and calculating distribution infrastructure metrics
3. Converting and extracting GIS data for use in other systems like CAD and for reporting, auditing, and analyzing assets, outages and joint use infrastructure.
This document outlines a GIS-based solution for city gas distribution networks presented by Reza Nourjou. It discusses the basic stages of city gas distribution networks and the advantages of using GIS technology at each stage, including better data management, analysis, and decision making. The document then describes the design and development of a GIS system called GasGIS for managing city gas distribution networks. It provides examples of how GasGIS can be used for tasks like marketing, network design, demand allocation, hydraulic calculations, reliability evaluation, project workflow management, and emergency response. The conclusion emphasizes that a GIS-based approach can help reduce costs, reduce time, and increase efficiency for city gas distribution projects through improved data handling and decision support
In this slide I have presented the use of ARC GIS in city gas distribution sector. Although, I have not covered the detailed use of ARC GIS. You can surely get an idea of ARC GIS in city gas distribution sector.
Smart Grids:Enterprise GIS For Distribution Loss Reduction in Electric Utilit...HIMADRI BANERJI
1. The document discusses implementing an Enterprise GIS system for two power distribution companies in Delhi, BRPL and BYPL, to help reduce distribution losses and improve customer service.
2. Key goals of implementing GIS include reducing outage times, stopping power theft, improving asset management, and achieving a zero fatality safety rate.
3. The implementation plan includes developing GIS data models, capturing network and customer data digitally, integrating GIS with other systems like SAP and SCADA, and providing network analysis tools.
4. Estimates show the project has a payback period of less than 1 year and will generate over $400 million in additional revenue over 3 years with returns of 138%, making
Precision Farming (PF) is introduced and history in short is reviewed. Essential activities of GPS locating, soil mapping, GIS dataprocessing and presentation and VRT application are described. Basic principles of PF are shown to be:
• Precision Farming is the management process of within-field variability.
• This management must bring profit or at least reduce the risk of loss
• This management must reduce the impact of farming on environment.
Techniques used in Precision Farming are described. Economics of Precision Farming is discussed. A general cost/benefit analysis and profitability of PF are reviewed. The price of PF adoption facing a farmer is discussed. Methods of process analysis and activity based costing are shown as useful instruments for PF process analysis and model building. PF process is analysed and process graph is developed.
Confident Data Integration and QC with FMESafe Software
Utility Solutions have used FME over the last two years to perform asset type data transfers between different GIS data formats such as CAD and GIS. They found the existing tools in FME are very useful for data analysis and quality control. Their primary usage of FME is for automated QC, data conversion and data extraction at a low cost with a high level of confidence.
This ordinance amends the subdivision and development regulations for Georgetown, Kentucky to require digital submissions of subdivision plats and development plans in addition to hard copy submissions. The amendment establishes standards for digital file formats, data layers, labeling, and coordinate systems to ensure consistency and compatibility with the local geographic information system. Digital submissions must be provided when final plats and plans are recorded to facilitate data sharing across agencies and keep maps up to date.
Timmons Group ESRI Replication SolutionsTimmons Group
The document discusses developing an automated method for integrating and sharing geospatial data between local governments and emergency response agencies in Virginia. The proposed solution would use ESRI ArcGIS software to establish daily replication of GIS data between the source databases of Rockingham County and Harrisonburg City and the target database at the Harrisonburg Rockingham Emergency Communications Center. This would provide near real-time updates of critical map layers like addresses and roads to 911 dispatchers, improving their ability to locate callers. The goals are to streamline data sharing, establish data standards, and create a framework for geospatial collaboration across agencies.
FME is used at PNM for a wide variety of purposes including:
1. Buffering underground utility lines and formatting outage data for maps
2. Processing new service data and calculating distribution infrastructure metrics
3. Converting and extracting GIS data for use in other systems like CAD and for reporting, auditing, and analyzing assets, outages and joint use infrastructure.
Geographic Information Systems Based Quantity Takeoffs in Buildings ConstructionIDES Editor
Paper presents a Geographic Information System
(GIS) based quantity takeoffs methodology, which is helpful
in increasing the productivity of quantity estimator by reducing
the manual work in quantity takeoffs. Proposed methodology
also reduces the missing or duplication of various items of
work by visualizing each components corresponding to the
items in space. Several scripts developed within ArcView3.2
were used to extract the necessary dimensions from the
drawings and to perform various calculations for quantity
takeoffs. Accurate Bill of Quantities (BOQ) may be generated
on the basis of dimensions of various data themes in GIS.
This document discusses geocoding and dynamic segmentation. It defines geocoding as assigning spatial locations to non-spatial data through techniques like address matching. Dynamic segmentation is computing locations of events along linear features. The document outlines different GIS feature types and their uses. It then describes the geocoding process, types of geocoding, and applications. Dynamic segmentation is defined as relating data to linear features through measurement systems. Routes, events, and the dynamic segmentation process are explained. Applications include data management, display, query, and analysis along linear networks.
This article discusses linear scheduling for pipeline projects using a software called TILOS. TILOS uses march charts or time-distance diagrams to integrate the project schedule with site conditions and logistical constraints. It plots tasks on a two-axis grid with time on the vertical axis and location on the horizontal. This allows the planner to visualize crew movement and address constructability issues. TILOS facilitates importing data from other sources to generate detailed views incorporating things like elevation profiles, crossings and environmental restrictions. It also supports monitoring and controlling project progress by recording task completion locations and dates.
The document outlines a project to create a geodatabase for the Five Mile Dam soccer complex. It involves using GPS to collect spatial and attribute data for the fields and infrastructure. This data will then be processed and used to create a geodatabase and maps in ArcGIS. It will also model the irrigation system and develop a methodology for replicating the process in other parks. The final deliverables will include maps of the soccer fields and other infrastructure in Adobe, as well as a project report and database methodology.
The document summarizes a technical meeting for Project SLOPE to discuss system integration tasks and timelines. It outlines the goals of Work Package 6 to build an integrated forest management system through three stages: integrating inventory and harvesting systems; adding forest management; and validating the full system. Task 6.2 aims to integrate forest inventory with harvesting measurement and planning tools over 14 months. Testing shows progress but some requirements and use cases remain untested. An action plan was defined to complete integration and address delays.
The Resort Municipality of Whistler sought to upgrade and maintain their fire hydrant system through GIS technologies by creating an updated fire hydrant database with a digital maintenance checklist form, a new layer with GPS coordinates, and a data model conforming to Canadian standards. Key steps included using Excel to create an efficient digital form, ArcGIS to load GPS-located data into a geodatabase following the specified data model, and FME to reposition point locations with new Easting and Northing coordinates. The updated fire hydrant database will help ensure hydrants are optimally maintained and GIS continues to effectively manage the municipality's assets into the future.
This document provides guidance on processing groundwater level data from basic measurements to derived maps and time series analyses. It describes how contour maps, raster maps, hydrographs, and other maps can be generated from point data on water levels, quality, pumping, etc. An example is given of creating contour maps of depth and elevation of the water table based on January 2001 water level measurements in Andhra Pradesh. The processing involves preparing base map layers, contouring the water level data, and potentially making manual adjustments based on hydrogeological features.
The document describes geo-referencing and digitizing a map of IIT Roorkee campus in QGIS. It involves geo-referencing the scanned map using 14 ground control points collected using GPS. Various layers like buildings, roads and landscapes are then digitized on the geo-referenced map and attributes are added. Finally, a road graph is generated to analyze the shortest path between two points on campus based on time.
Mapping Toolbox provides tools for analyzing, visualizing, and mapping geographic data. It allows users to import vector and raster data formats, customize data through operations like subsetting and trimming, and perform geospatial analyses. The toolbox enables 2D and 3D map displays with imported data and base map layers. It offers functions for digital terrain analysis, geodesy calculations, map projections, and other geographic utilities.
The document describes using GRASS GIS to detect land cover change over 13 years at a mining site in British Columbia. Atmospherically corrected Landsat images from 2001-2014 were analyzed using image differencing of NDVI, TCT, and PCA outputs. Thresholding identified significant change areas. NDVI detected over 2300 ha of change, while TCT and PCA detected over 2000 ha. The open source and automated nature of GRASS GIS makes it suitable for replicable change detection.
Ramabrahmachary Sattenapalli has over 15 years of experience in GIS, including data modeling, testing applications, data migration, and data services. He has worked on large mapping projects for clients in the US, Europe, and Asia involving data cleanup, conversion, migration, conflation, and maintenance. Some of his representative projects include managing teams that migrated utility network data between GIS systems for clients like RECPDCL in India and We Energies in the US, and performing data conflation for Southern California Edison to integrate their asset systems. He has expertise in utilities domains including telecom, power, water, and gas networks.
This document discusses how Geographic Information Systems (GIS) link graphic and database information to efficiently generate updated maps. A GIS stores map elements like points, lines and polygons separately in a database rather than large graphic files. This allows individual map sheets to be combined into composite maps at varying scales depending on data density. Storing graphic elements as database entries reduces empty space and data storage needs. The document provides an example of using AutoCAD and additional software to implement a GIS that generates maps from a graphic elements database on demand.
This document summarizes Cumberland County's use of mapping technologies to improve citizen services. Key points:
- Cumberland County implemented Pitney Bowes MapInfo and Microsoft solutions like Exponare and Spatialware to create a centralized GIS data warehouse and public query system.
- This allows over 250 daily users to easily access and query maps, parcel data, development plans, and more through forms or spatially. It reduced phone calls by 70%.
- Scanned paper development plans were digitized and integrated using spatial triggers.
- The public website at http://www.ccmaps.org provides interactive maps, reports, and images to citizens from a single location.
The document provides instructions for conducting a land use/land cover change detection analysis using GIS. It describes how to download municipal boundary and watershed shapefiles, add them to a map, and clip the watershed layer to the boundaries of New Brunswick. It then explains how to select areas of land use change between 2002 and 2007 using attribute fields, export the selected areas, and calculate acres of residential land use change.
The document summarizes a technical meeting held from 19-21 January 2015 for Project SLOPE. The meeting agenda covered work package goals, tasks and roles, timelines, deliverables, task details, risks and mitigation actions. Key integration tasks through 2016 were outlined to achieve a complete integration of SLOPE platform components from different work packages. Regular meetings and deliverables were scheduled to track integration progress.
SIMPLIFIED SAR SIMULATION FOR REMOTE SENSING URBAN DAMAGE ASSESSMENTReza Nourjou, Ph.D.
This document summarizes a methodology for using SAR satellite imagery and GIS data to simulate urban building signatures and assess earthquake damage remotely. It involves simulating radar cross sections of buildings under different orientations, extracting building edge data from high-resolution maps into a GIS database, and using the RCS simulations and orientations to model expected SAR signatures. This allows generating calibration layers to adjust SAR-based damage indices for different sensor angles. The method is demonstrated for cities in Bam, Iran and Tehran that experienced earthquakes, using Envisat SAR data and ancillary maps to extract building outlines and attributes.
MobiGIS 2016 workshop report: The Fifth ACM SIGSPATIAL International Workshop...Reza Nourjou, Ph.D.
MobiGIS 2016 workshop report: The Fifth ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems: San Francisco, California, USA - October 31, 2016
Data Model of the Strategic Action Planning and Scheduling Problem in a Disas...Reza Nourjou, Ph.D.
This document presents a data model for strategic action planning and scheduling problems in disaster response teams. The data model is designed as a Unified Modeling Language class diagram consisting of entity types, attributes, and relationships associated with modeling the strategic action planning and scheduling problem. The data model supports the development of an intelligent assistant software system to help incident commanders with strategic action planning and scheduling during disaster response. The data model makes five novel contributions, including modeling the strategic action planning problem, representing task information geographically and temporally, encoding human strategic guidance, formulating strategic action plans, and integrating strategic action schedules with other entities.
Analyze the Action Planning Problem in Disaster Responder TeamsReza Nourjou, Ph.D.
This document analyzes the strategic action planning (SAP) problem in disaster response teams. It presents a model of the SAP problem with six dimensions: 1) the problem domain of urban search and rescue tasks, 2) the disaster response team structure with an incident commander and agents, 3) relevant geographic information, 4) the strategic action planning process, 5) how strategic plans constrain agent behaviors, and 6) strategic action scheduling to estimate operation time and assign agents to tasks. The goal is to understand SAP requirements to support developing intelligent systems that collaborate with incident commanders on making strategic plans and schedules to coordinate agent responses during disasters.
Intelligent GIS for Spatial Cooperation of Earthquake Emergency ResponseReza Nourjou, Ph.D.
The document proposes an intelligent GIS (IGIS) using a multi-agent system to help coordinate search and rescue teams responding to an earthquake. The key challenge for teams is the spatial cooperation problem of determining what tasks to perform, where, and when. The IGIS would use distributed task allocation between software agents representing teams to efficiently allocate rescue tasks based on each team's location and capabilities. The human agents leading each team would collaborate with software agents to make tactical decisions and solve the spatial cooperation problem.
Simulation of an Organization of Spatial Intelligent Agents in the Visual C#....Reza Nourjou, Ph.D.
The document describes developing a simulator for a community of spatial intelligent agents using Visual C#.NET. It aims to simulate agent interactions and behaviors to test distributed algorithms. The methodology uses threads and delegates in C# to embed multiple agents in a simulated environment. A sample program demonstrates implementing a contract net protocol among three agents, with one agent announcing a task and the others bidding. The simulator allows agents to communicate, respond to messages, and interact with a human, providing a framework to develop and evaluate multi-agent systems using the .NET platform.
Geographic Information Systems Based Quantity Takeoffs in Buildings ConstructionIDES Editor
Paper presents a Geographic Information System
(GIS) based quantity takeoffs methodology, which is helpful
in increasing the productivity of quantity estimator by reducing
the manual work in quantity takeoffs. Proposed methodology
also reduces the missing or duplication of various items of
work by visualizing each components corresponding to the
items in space. Several scripts developed within ArcView3.2
were used to extract the necessary dimensions from the
drawings and to perform various calculations for quantity
takeoffs. Accurate Bill of Quantities (BOQ) may be generated
on the basis of dimensions of various data themes in GIS.
This document discusses geocoding and dynamic segmentation. It defines geocoding as assigning spatial locations to non-spatial data through techniques like address matching. Dynamic segmentation is computing locations of events along linear features. The document outlines different GIS feature types and their uses. It then describes the geocoding process, types of geocoding, and applications. Dynamic segmentation is defined as relating data to linear features through measurement systems. Routes, events, and the dynamic segmentation process are explained. Applications include data management, display, query, and analysis along linear networks.
This article discusses linear scheduling for pipeline projects using a software called TILOS. TILOS uses march charts or time-distance diagrams to integrate the project schedule with site conditions and logistical constraints. It plots tasks on a two-axis grid with time on the vertical axis and location on the horizontal. This allows the planner to visualize crew movement and address constructability issues. TILOS facilitates importing data from other sources to generate detailed views incorporating things like elevation profiles, crossings and environmental restrictions. It also supports monitoring and controlling project progress by recording task completion locations and dates.
The document outlines a project to create a geodatabase for the Five Mile Dam soccer complex. It involves using GPS to collect spatial and attribute data for the fields and infrastructure. This data will then be processed and used to create a geodatabase and maps in ArcGIS. It will also model the irrigation system and develop a methodology for replicating the process in other parks. The final deliverables will include maps of the soccer fields and other infrastructure in Adobe, as well as a project report and database methodology.
The document summarizes a technical meeting for Project SLOPE to discuss system integration tasks and timelines. It outlines the goals of Work Package 6 to build an integrated forest management system through three stages: integrating inventory and harvesting systems; adding forest management; and validating the full system. Task 6.2 aims to integrate forest inventory with harvesting measurement and planning tools over 14 months. Testing shows progress but some requirements and use cases remain untested. An action plan was defined to complete integration and address delays.
The Resort Municipality of Whistler sought to upgrade and maintain their fire hydrant system through GIS technologies by creating an updated fire hydrant database with a digital maintenance checklist form, a new layer with GPS coordinates, and a data model conforming to Canadian standards. Key steps included using Excel to create an efficient digital form, ArcGIS to load GPS-located data into a geodatabase following the specified data model, and FME to reposition point locations with new Easting and Northing coordinates. The updated fire hydrant database will help ensure hydrants are optimally maintained and GIS continues to effectively manage the municipality's assets into the future.
This document provides guidance on processing groundwater level data from basic measurements to derived maps and time series analyses. It describes how contour maps, raster maps, hydrographs, and other maps can be generated from point data on water levels, quality, pumping, etc. An example is given of creating contour maps of depth and elevation of the water table based on January 2001 water level measurements in Andhra Pradesh. The processing involves preparing base map layers, contouring the water level data, and potentially making manual adjustments based on hydrogeological features.
The document describes geo-referencing and digitizing a map of IIT Roorkee campus in QGIS. It involves geo-referencing the scanned map using 14 ground control points collected using GPS. Various layers like buildings, roads and landscapes are then digitized on the geo-referenced map and attributes are added. Finally, a road graph is generated to analyze the shortest path between two points on campus based on time.
Mapping Toolbox provides tools for analyzing, visualizing, and mapping geographic data. It allows users to import vector and raster data formats, customize data through operations like subsetting and trimming, and perform geospatial analyses. The toolbox enables 2D and 3D map displays with imported data and base map layers. It offers functions for digital terrain analysis, geodesy calculations, map projections, and other geographic utilities.
The document describes using GRASS GIS to detect land cover change over 13 years at a mining site in British Columbia. Atmospherically corrected Landsat images from 2001-2014 were analyzed using image differencing of NDVI, TCT, and PCA outputs. Thresholding identified significant change areas. NDVI detected over 2300 ha of change, while TCT and PCA detected over 2000 ha. The open source and automated nature of GRASS GIS makes it suitable for replicable change detection.
Ramabrahmachary Sattenapalli has over 15 years of experience in GIS, including data modeling, testing applications, data migration, and data services. He has worked on large mapping projects for clients in the US, Europe, and Asia involving data cleanup, conversion, migration, conflation, and maintenance. Some of his representative projects include managing teams that migrated utility network data between GIS systems for clients like RECPDCL in India and We Energies in the US, and performing data conflation for Southern California Edison to integrate their asset systems. He has expertise in utilities domains including telecom, power, water, and gas networks.
This document discusses how Geographic Information Systems (GIS) link graphic and database information to efficiently generate updated maps. A GIS stores map elements like points, lines and polygons separately in a database rather than large graphic files. This allows individual map sheets to be combined into composite maps at varying scales depending on data density. Storing graphic elements as database entries reduces empty space and data storage needs. The document provides an example of using AutoCAD and additional software to implement a GIS that generates maps from a graphic elements database on demand.
This document summarizes Cumberland County's use of mapping technologies to improve citizen services. Key points:
- Cumberland County implemented Pitney Bowes MapInfo and Microsoft solutions like Exponare and Spatialware to create a centralized GIS data warehouse and public query system.
- This allows over 250 daily users to easily access and query maps, parcel data, development plans, and more through forms or spatially. It reduced phone calls by 70%.
- Scanned paper development plans were digitized and integrated using spatial triggers.
- The public website at http://www.ccmaps.org provides interactive maps, reports, and images to citizens from a single location.
The document provides instructions for conducting a land use/land cover change detection analysis using GIS. It describes how to download municipal boundary and watershed shapefiles, add them to a map, and clip the watershed layer to the boundaries of New Brunswick. It then explains how to select areas of land use change between 2002 and 2007 using attribute fields, export the selected areas, and calculate acres of residential land use change.
The document summarizes a technical meeting held from 19-21 January 2015 for Project SLOPE. The meeting agenda covered work package goals, tasks and roles, timelines, deliverables, task details, risks and mitigation actions. Key integration tasks through 2016 were outlined to achieve a complete integration of SLOPE platform components from different work packages. Regular meetings and deliverables were scheduled to track integration progress.
SIMPLIFIED SAR SIMULATION FOR REMOTE SENSING URBAN DAMAGE ASSESSMENTReza Nourjou, Ph.D.
This document summarizes a methodology for using SAR satellite imagery and GIS data to simulate urban building signatures and assess earthquake damage remotely. It involves simulating radar cross sections of buildings under different orientations, extracting building edge data from high-resolution maps into a GIS database, and using the RCS simulations and orientations to model expected SAR signatures. This allows generating calibration layers to adjust SAR-based damage indices for different sensor angles. The method is demonstrated for cities in Bam, Iran and Tehran that experienced earthquakes, using Envisat SAR data and ancillary maps to extract building outlines and attributes.
MobiGIS 2016 workshop report: The Fifth ACM SIGSPATIAL International Workshop...Reza Nourjou, Ph.D.
MobiGIS 2016 workshop report: The Fifth ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems: San Francisco, California, USA - October 31, 2016
Data Model of the Strategic Action Planning and Scheduling Problem in a Disas...Reza Nourjou, Ph.D.
This document presents a data model for strategic action planning and scheduling problems in disaster response teams. The data model is designed as a Unified Modeling Language class diagram consisting of entity types, attributes, and relationships associated with modeling the strategic action planning and scheduling problem. The data model supports the development of an intelligent assistant software system to help incident commanders with strategic action planning and scheduling during disaster response. The data model makes five novel contributions, including modeling the strategic action planning problem, representing task information geographically and temporally, encoding human strategic guidance, formulating strategic action plans, and integrating strategic action schedules with other entities.
Analyze the Action Planning Problem in Disaster Responder TeamsReza Nourjou, Ph.D.
This document analyzes the strategic action planning (SAP) problem in disaster response teams. It presents a model of the SAP problem with six dimensions: 1) the problem domain of urban search and rescue tasks, 2) the disaster response team structure with an incident commander and agents, 3) relevant geographic information, 4) the strategic action planning process, 5) how strategic plans constrain agent behaviors, and 6) strategic action scheduling to estimate operation time and assign agents to tasks. The goal is to understand SAP requirements to support developing intelligent systems that collaborate with incident commanders on making strategic plans and schedules to coordinate agent responses during disasters.
Intelligent GIS for Spatial Cooperation of Earthquake Emergency ResponseReza Nourjou, Ph.D.
The document proposes an intelligent GIS (IGIS) using a multi-agent system to help coordinate search and rescue teams responding to an earthquake. The key challenge for teams is the spatial cooperation problem of determining what tasks to perform, where, and when. The IGIS would use distributed task allocation between software agents representing teams to efficiently allocate rescue tasks based on each team's location and capabilities. The human agents leading each team would collaborate with software agents to make tactical decisions and solve the spatial cooperation problem.
Simulation of an Organization of Spatial Intelligent Agents in the Visual C#....Reza Nourjou, Ph.D.
The document describes developing a simulator for a community of spatial intelligent agents using Visual C#.NET. It aims to simulate agent interactions and behaviors to test distributed algorithms. The methodology uses threads and delegates in C# to embed multiple agents in a simulated environment. A sample program demonstrates implementing a contract net protocol among three agents, with one agent announcing a task and the others bidding. The simulator allows agents to communicate, respond to messages, and interact with a human, providing a framework to develop and evaluate multi-agent systems using the .NET platform.
Search algorithm for optimal execution of incident commander guidance in macr...Reza Nourjou, Ph.D.
This document presents a search algorithm to help an incident commander optimally execute guidance for field units during disaster response. The algorithm helps select the best strategic decision from available alternatives to coordinate field units' macro actions. It calculates an optimal macro action plan, estimates the minimum time to achieve goals, and reasons about the best choice. The algorithm was applied to develop intelligent software to assist humans in crisis response to earthquakes.
Distributed Autonomous GIS to Form Teams for Public SafetyReza Nourjou, Ph.D.
This document proposes a system called Distributed Autonomous GIS (DAGIS) to optimize the formation of human rescue teams during emergency situations. DAGIS would distribute emergency calls to potential first responders based on their expertise and proximity. An algorithm is described that assigns tasks to qualified responders who are available, accounting for their locations and expertise levels. The system architecture involves apps for commanders, responders, and civilians. The goal is to assemble teams quickly and efficiently by programmatically handling logistics. An evaluation scenario and potential evaluation platforms are also outlined.
El documento presenta la teoría de las inteligencias múltiples de Howard Gardner, la cual propone que las personas tienen diferentes tipos de inteligencia como la lingüística, lógico-matemática, corporal-cinestésica, espacial, interpersonal, intrapersonal, musical y naturalista. El documento también describe brevemente a Gardner y su trabajo en el Proyecto Cero de la Universidad de Harvard para estudiar los procesos de aprendizaje.
El documento resume la vida y carrera de Adolf Hitler, líder del partido nazi en Alemania. Describe las principales instituciones del régimen nazi como la Wehrmacht, Gestapo, SS, SA, Hitlerjugend y el ministerio de propaganda. Explica los objetivos nazis de crear una raza aria pura y dominar Europa, así como su solución final que resultó en el genocidio sistemático de los judíos a través de guetos y campos de concentración.
Reza Nourjou proposes creating an algorithm and mobile GIS system to optimize the formation of urban search and rescue teams. The system would use distributed, autonomous software agents on volunteers' mobile devices to communicate their availability, location, and skills to match them with tasks based on an incident commander's guidance. It would need to account for the critical timing of responses, volunteers' locations, need for collaboration from different places, and varying individual capabilities. A scenario is described of the system coordinating a search for a missing teenager across Brooklyn to minimize the total operation time. Future work involves implementing the coalition formation algorithm and a collaborative map interface on mobile devices.
Raj Kumar Sharma's CV summarizes his professional experience and qualifications. He has 9 years of experience working in industrial electrical automation and currently works as a Senior Manager for SMS India Pvt. Ltd. He has a B.Tech degree in Applied Electronics & Instrumentation. His skills include PLC and SCADA programming for Siemens and other control systems. He has experience with numerous automation projects for steel, paper, and other industrial companies.
A Review of _Urban Water Networks Management Using GISIRJET Journal
This document reviews the use of Geographic Information Systems (GIS) for urban water network management. It discusses how GIS allows spatial and non-spatial data to be stored, manipulated, analyzed and displayed to help comprehensively manage water networks. GIS is used in planning water networks through remote sensing and surveying, designing the networks in GIS or other software, and operating and maintaining the networks once installed. The document provides examples of how GIS supports planning, construction management, flood analysis and pipeline management for water utilities.
Serving GIS Data To Electrical Distribution Analysispdituri
Peter Di Turi of Seattle City Light discusses how the utility is using its GIS database to analyze its electrical distribution system. City Light determined it was more cost effective to export GIS data to a distribution analysis software package rather than build a proprietary application. The utility analyzed factors such as scope, deliverables, schedule, budget, and expertise to decide a third-party solution would best meet its needs. City Light developed specifications and procured a distribution analysis software package with an external data interchange to the GIS. While the utility planned a nine-month pilot, relating the different data models took longer than expected.
The document discusses strategies for conducting a Geographic Information System (GIS) data refresh, which is essential for utilities implementing Smart Grid initiatives. It outlines the key steps, which include walking down electric feeders to validate GIS data and collect missing information. This process varies in complexity and cost depending on whether feeders are overhead or underground. The document also covers estimating the costs and resources required for the data refresh based on characteristics of the feeders.
World Pipelines - Better Together - SCADA and GISsmrobb
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Concept for a web map implementation with faster query responseAlexander Decker
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Use of Geographic Information Systems to Build and Management a Geometric Net...ijtsrd
The main goal of this paper is to use the geometric network in the ArcGIS system to build and management the distribution of the electricity network in the College of Engineering at Sudan University of Science and Technology, which includes load distribution control and management, maintenance, new extensions and decision support. The major source data is a 10 cm spatial resolution aerial photograph of the research region, as well as network data obtained in the field, which comprises transformers, supply sub stations, distribution keys and cables from various portions of the electrical network. Different thematic layers, such as building, vegetation and electrical network parts, were created to meet the papers goal. A digital map of the electrical network, including underground cables, was created and the loads for various sectors were estimated to manage maintenance and new extensions and to determine the networks weaknesses. The ArcGIS systems geometric network was proven to be useful and has the potential to be used in electricity network analysis and management the flow directions of electricity power in the network. Sahar I. M. Abd Elrahman "Use of Geographic Information Systems to Build and Management a Geometric Network for Electricity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49528.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/49528/use-of-geographic-information-systems-to-build-and-management-a-geometric-network-for-electricity/sahar-i-m-abd-elrahman
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This document discusses the importance of using accurate 3D modeling data for planning and optimizing wireless networks such as 3G, 4G, LTE, and WiMax networks. It notes that the level of detail and accuracy of the modeling data directly impacts the accuracy of network planning, which can reduce network rollout and optimization costs for operators. Higher quality 3D modeling data that accounts for terrain and urban obstacles can increase the distance between base stations by 25-30% while maintaining network quality. The document promotes the 3D modeling services of Visicom, a Ukrainian company, for wireless network planning.
This document provides an agenda and background for an online webinar to share the results of a scalability and replicability analysis (SRA) conducted as part of the InteGrid project. The webinar will present results from functional, ICT, economic, and regulatory SRAs assessing how smart grid technologies developed in InteGrid may perform at larger scale or in different network conditions. The SRA aims to identify drivers, barriers, and constraints to deploying these technologies more widely. Results and a replication roadmap developed by the SRA will be made publicly available.
Design and Development of GIS Based Utility Management System at DOS Housing ...IJERA Editor
The paper presents the conceptual design model of a GIS [Geographic Information system] based Utility Management System for DOS Housing Colony, Vikramnagar, Ahmedabad. The processing capabilities of GIS and the system ability to manipulate geo-referenced data and results in different formats and models make them suitable for planning and operation of all activities of the Construction & Maintenance Group of SAC, Ahmedabad. This is specially designed software for the Civil, Electrical and Horticultural wing of Construction and Maintenance Group, Space Applications Centre (ISRO) in many ways to improve the Planning, Maintenance and Information standards. In this software, all physical information like Vikramnagar area, all buildings, roads, water supply lines, drainage lines, fire fighting lines, pump house, wells, bore points, recharge wells, and STP plant, torrent power substations, DG set rooms, LT panels, LT cables, electrical light poles and solar light poles, nursery area and trees are converting into digital forms using GIS by developing different layers. Thus Digital information will be used for identification of each utility and finally, this software will provide information of the entire Vikramnagar housing colony related to Construction & Maintenance Group by providing instant records availability. The Utility system load flow based on GIS presented in the paper is an ideal tool for performing the analysis and viewing the results on a map superimposed with other geographic layers. It allows power system planners to work on the real system by relating the output to the location of load and feeder. Together with the utilization of water supply lines, fire fighting lines, drainage lines, all buildings, roads, trees and power distribution the System will become an essential tool for utility decision makers and the Occupants of the colony. The data of water supply, fire fighting, drainage and power distribution systems are very complicated to update, and there is a lack of linkage between spatial and non-spatial data.
This document outlines the planning process for a GIS analysis project to identify suitable sites for a new wastewater treatment plant. It discusses why many GIS projects fail, the types and phases of GIS projects. It then details the steps involved in a GIS analysis project including: defining the objective, creating the project database by identifying and preparing data, analyzing the data using spatial modeling functions, and presenting the results. For the wastewater treatment plant project, the analysis will identify parcels that meet criteria like being in a low-lying area near water and not residential, and the results will be shown on a presentation map.
Final Report - Optimizing Work Distribution for NP OrdersBrian Kaiser, PE
This document discusses optimizing work distribution for non-pay (NP) orders at Indianapolis Power & Light (IPL). After IPL implemented a new Computer-Aided Dispatch (CAD) system in 2011, job routing became inefficient for 5 of 6 work types. A cross-functional team analyzed NP order data and identified issues. They found legacy route management practices led to workload variability. Recommendations include redrawing billing districts using quantitative data, reducing workload through new technology, adjusting estimated work times, and using more robust routing algorithms. The goals are decreasing average cut costs and increasing routing accuracy.
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1. 26
The main parameters in evaluating a gas
distribution network design include:
• Reliability of resulted network in providing proper gas pressure
• Cost of implementing the network
• Management capability and flexibility of the network in the
occurrence of crises/events
On the other hand, the following problems regarding the
design of the distribution networks should be considered:
• Most of the maps and procedures are done in a CAD-Based
system. Although they are powerful in visualization, they uncon-
vincing in analysis
• Incoherence and separation of stages and processes of the
design done by different people
• Lack of a proper data management
DATA AND MAPS GENERATED DURING NET-
WORK DESIGN
A large portion of the information used by gas distribution com-
panies is gathered and created during the distribution network
design. The data is created and stored in the form of DWG
files,Tables and Reports. These include the map data of blocks of
the city, node-map, designed network, land ownership, feeding
network, etc., and the tabular data consists of the results of the
market analysis, results of the network hydraulic calculations,
list of the material used in the network, and the customers
information etc. (A'inechi, 1993).
UNITS INVOLVED IN THE DESIGN OF THE
GAS DISTRIBUTION NETWORK
Different processes and stages of the network design are done by
many engineering units. This includes market analysis unit, the
network control unit, the design unit, cathodic protection unit,
surveying unit, implementation unit, customer service unit, and
emergency unit. Also there are different duties and responsibili-
ties, a need for diverse map and other datasets needs.
GENERAL GOALS OF USING GIS IN THE
NETWORK DISTRIBUTION DESIGN
The customers of the gas are distributed in space and the design
should follow the spatial pattern of these customers. In other
words, the design of the distribution network is a spatial design
and spatial decision problem. Therefore, GIS as the most power-
ful and commonly used spatial analysis tool, can be used to
improve different aspects of the distribution network design.
As mentioned by Boulos (2004), introducing and using of GIS
in different stages of the network design will bring about many
benefits. This includes the reducing of data redundancy and
improving of data sharing among different units and processes,
OIL & GAS
G I S D E V E L O P M E N T - M I D D L E E A S T J A N UA R Y - F E B R UA R Y 2 0 07
SAADI MESGARI I REZA NOURJOU I HOSSEIN AGHAMOHAMMADI
SUPPORT SYSTEM
FOR GAS DISTRIBUTION
NETWORK
The paper details on the design and implementation of gas distirbution network.
2. better data management, providing of
data query and analysis tools, providing
of visualization tools for representation
of data and analysis results, improve-
ment of system and optimization of
processes, providing of the development
tools for improvements regarding data
editing and data quality control.
DESIGN AND IMPLEMENTA-
TION OF A GEODATABASE
FOR THE DESIGN AND
EXTENSION OF THE GAS
DISTRIBUTION NETWORK
The Geodatabase model is an object ori-
ented data model. In this model, intelli-
gent objects are created that simulate the
natural attributes and behaviors of the
real-world features. It also models the
relationships between the real-world fea-
tures (Zeiler, 1999).
Among the benefits of using a Geodata-
base model, the more important ones are:
the ease of creation, editing and analysis
of geometric networks, the ease of edit-
ing data with topological relations, the
controlled data entering with easily
defined regulations and rules, protection
of the consistency of the database, and
finally the ease of developing application
programs for accessing data in Geodata-
base using SQL sentences and user-
friendly interfaces.
Some of the rules that can be imple-
mented in a Geodatabase are:
• Geometric network rules
• Spatial rela-
tionship rules
• General rela-
tionship rules
• Attribute rules
Geodatabase
comprises the
central part of the
GIS. All processes
related to spatial
and non-spatial
data manage-
ment, quality con-
trol and data inte-
gration are done
by Geodatabase (Marv 2002). Using the
Geodatabase capabilities, Geometric Net-
work, and UML, the conceptual model of
the spatial database required for the gas
distribution network was created.
ArcGIS software was selected as the
basic software environment for the
implementation of the system. The
designed conceptual model was imple-
mented using the available tools of Arc-
Catalog. The result of this procedure was
the creation of a Geodatabase with a set
of empty layers along with empty data
fields and defined relations. Figure 1
shows the layers of the implemented
Geodatabase. Some of required processes
are implemented using the existing tools
and functions available in ArcGIS. For
many other required processes, suitable
tools and functions are developed and
added to the GIS using the programming
environments of VBA and ArcObjects.
DESIGN AND EXTENSION OF
GAS DISTRIBUTION NETWORK
The designed and developed GIS provides
a proper framework for the management
of the data and execution of all design
processes. For the design of a city’s gas
distribution network, we only need to
enter and fill in the defined data layers
and tables and start the sequence of the
processes as defined in the system.
The main difference between such an
extended system and a usual multi-pur-
pose GIS is that, all tables and layers of
the database are empty and during the
design procedure, the generated data are
entered to the proper layers and tables,
according to the specified standards and
rules. In addition, some parameters of the
quality and correctness of the data are
controlled by the system. The implemen-
tation of the required and developed
functions are grouped in a new module
called GGIS, which is added to the user
interface of ArcMap and can be used easi-
ly by the units involved in the design pro-
cedure. This module and its developed
functions are represented in Figure 1. The
developed system is tested and evaluated
using the dataset of a region of Tehran
city called Khoshnam.
In the following, the twenty seven
processes developed for the design and
extension of the distribution network are
described. The combination and sequence
of processes is summarized in Figure 2.
Entering of the city block map
The aim of this process is to enter the spa-
tial data of the city blocks to the proper
data layer. The resulted map is the basis
of other processes of design.
Entering the location of entrance
for the normal consumers
It should be mentioned that the block
map of the city includes only the blocks,
i.e. the space bordered by the streets, and
27G I S D E V E L O P M E N T - M I D D L E E A S TJ A N UA R Y - F E B R UA R Y 2 0 07
Using GIS in
different
stages of
network
design brings
many benefits
FFiigg.. 11 The module developed for the design and extension of the gas
distribution network
3. not the buildings. Therefore, in this
process, the entrance of the gas con-
sumers are located on the boundary of
the city blocks as a point feature, and the
attribute data of the building such as its
landuse and number of floors and resid-
ual units are attached to it.
Entering the location of entrance
for the industrial units
In this process, the locations of the
entrance of industrial units are recorded
on the map as point features, and the
data required for the calculation of the
gas consumption are assigned to them.
Calculation of the maximum
per-hour consumption
The gas consumption of the industrial
units are calculated using a defined
mathematical formula and the primary
data assigned to these features.
Market analysis and predicting the
future consumption characteristics
In this process, a mathematical model is
used to predict the maximum per-hour
consumption for the normal gas con-
sumers in the future. In this model, the
prediction is done on basis of the predic-
tion coefficients, building attribute data,
present consumption values, and other
relevant data available in GIS layers.
In addition to the prediction of the
future consumption, the general con-
sumption of the city, and the needed
number of TBS stations are calculated in
this process. At the end of this process
the resulted map of market analysis is
completed and sent to the next unit.
Deciding on the location of
branching points
The network control unit is responsible
for deciding on the location of any
required branching. Such a branching is
needed for extension of the network for a
new region. The location of the branching
depends on the estimated consumption
of the region and the location of the net-
work lines in the area.
Zoning of the city
In this process, areas with a maximum
consumption of 45000 cubic meter per-
hour are selected and considered as gas
distribution zones. For any such a select-
ed zone, the software calculates and
reports the maximum consumption.
Defining the distribution districts
A selected portion of a zone with a maxi-
mum consumption of 5000 to 10000
cubic meter per-hour is considered as a
gas distribution district. Design of the dis-
tribution network of any district is car-
ried out separately, considering a unique
TBS station for each district.
Defining location of TBS station
Site selection of the TBS station for any
district is done, considering different
parameters.
These parameters include the distance
to the network lines, distance to the main
consumption points, distance to the high
building and electrical posts, and avail-
ability of a vacant land with dimensions
of at least 13x17 meters.
Designing, drawing main and bran-
ching lines, entering attribute data
In this process, the network designer
defines the location of the main and
branching lines according to some
parameters and regulations. The location
of these lines along with other decided
factors such as the type and diameter of
the pipes are entered and stored in the
Geodatabase. Using of the available tools
28 G I S D E V E L O P M E N T - M I D D L E E A S T J A N UA R Y - F E B R UA R Y 2 0 07
FFiigg.. 22 Topological relations in “Node-Matrix” and “Link-Matrix”, as required by the “GPNET”
4. of the system, this process can be done
easily and smoothly.
Defining the location of the
network main and 63mm nodes
The network designer determines the
location of the required nodes on the
main and branching lines of the network
according to the structure of the network
lines. The location of these nodes and
lines are used to calculate the overall load
of each main node and to prepare the
node-structure map.
Assigning the industry consump-
tion loads to nearest main node
Using this process, the consumption load
of any industrial unit is automatically
assigned to its nearest node. In addition,
the lines connecting the industrial unit to
its nearest node are drawn.
Assigning loads of normal con-
sumers to their adjacent network
Having the search distance defined, the
gas consumption of each unit is automat-
ically assigned to its nearest or adjacent
line (main line or 63mm branch lines).
The final result of this process is the
determination of the number of con-
sumers and the overall load of each net-
work line. Moreover, using this facility,
the 25 mm branches are automatically
drawn connecting each consumer to its
nearest line.
Calculating consumption load, num-
ber of consumers for each node
Using this process, for any 63mm second-
ary node, all its branched lines are identi-
fied. Then, the overall number of con-
sumers connected to these lines and the
overall gas consumption of the lines are
assigned to the node. This resulted infor-
mation is stored in a table for all the
63mm nodes. This table is used for con-
trolling and evaluating designed branch-
ing structure according to some regula-
tions regarding the consumption loads.
Assigning the load of the nodes to
the main network lines
For any main line in the network, the con-
nected 63mm nodes are identified and
the consumer numbers and consumption
loads for all nodes are added up and
assigned to the main line.
Generation of node-structure map
The topological relations between the
main nodes and lines of the network are
calculated and stored in the format of
“Node-Matrix” and “Link-Matrix”, as
required by the “GPNET” software. This
software is used for hydraulic calcula-
tions of designed distribution network.
Figure 3 shows the resulted matrixes.
It should be mentioned that, as an
accepted tradition in the gas distribution
network, the load of a main line is
assigned to its end node.
Integration of GIS with “GPNET”
software for hydraulic calculations
In this process, the two software are con-
nected using a loosely coupling approach.
In other words, using the data sharing, a
simply integrated system is resulted.
Information about the topology of the
network is stored in “EXCEL” format to be
used by “GPNET”. On the other hand, the
results of the hydraulic calculations,
including the pressure and speed of the
gas flow in nodes, are stored in “EXCEL”
format and returned to GIS. These results
are assigned to the nodes in GIS.
Evaluating the reliability and
balance of the network
The reliability and robustness of the net-
work is analyzed using the hydraulic cal-
culation results. By designing multiple
networks for a town, as different design
scenarios, and analyzing their reliability
and robustness, the optimum network
will be selected. The parameters and cri-
teria for evaluating the reliability and
robustness of the network are developed
and implemented in the system.
If the criteria are not satisfied in a node,
the node is highlighted by GIS and the
designer is prompted to change and cor-
rect the network and repeating the proce-
dure. Correcting the network is usually
done using one or some of the followings:
changing the diameter of the main lines,
changing the structure and combination
of the network by removing and/or
adding some lines, altering the location
of the TBS stations, changing the location
of branch lines and changing the load dis-
tribution structure on the network lines.
Defining the location of the valves
on the mail lines and branch lines
This process provides designer with some
tools to define location of valves accord-
ing to some defined criteria, regulations.
Detailed design of the network
This facility provides proper tools for
entering, storing, retrieving and visualiz-
ing all the components of the network,
like equal tee, non-equal tee, cap, reducer,
60 degree elbow, 90 degree elbow, etc.
Storage and using of cathodic-pro-
tection unit information
This facility is a collection of tools needed
by the engineers of the cathodic-protec-
tion unit for entering, storing and retriev-
ing of data.
29J A N UA R Y - F E B R UA R Y 2 0 07 G I S @ D E V E L O P M E N T - M I D D L E E A S T
Conceptual
model was
made using
capabilities of
Geodatabase,
Geometric-
Network,UML
5. Preparing the list of assets used
This facility provides the designer with
the ability to calculate the amounts of
physical assets used in the network
according to proper measurement units
and classified by the size and type of the
assets.
Using these lists, the cost of implement-
ing the network is calculated. The design-
er could design different scenarios and
decide on the optimum design consider-
ing both the network reliability and the
cost as selection criteria.
Scheduling project implementation
This facility enables the designer to man-
age and monitor the progress of the proj-
ect according to the time table and to
visualize the steps of the project progress
on a map along with other data such as
the area covered in each stage.
Issuing of customer identification
codes
In this process, different tools are used to
edit and visualize the consumer (cus-
tomer) information and to assign new
codes to the new customers.
Defining gas flow directions
During this process, the gas flow direc-
tions will be defined by operator for the
whole network. Analysis and processes in
the network, such
as the event man-
agement, need
the flow direc-
tions.
Defining the
valve to stop
gas flow
The management
and response to
the unwanted
events is among
the most impor-
tant aspects of the
network manage-
ment. In this process, first the location of
the consumer reporting the event is
defined, using the recorded location of his
telephone number. Then, using network
analysis, the valve that should be blocked
to cut off the consumer is defined and its
location is reported.
Defining the cut off consumers
The aim of this process is to define the
consumers that will be cut off when a
valve is closed. Using this facility, the
location of all cut off consumers are
defined and shown on the map with a list
of their addresses and telephone num-
bers . This list will be used for informing
such consumers about the time and dura-
tion of the flow blockage.
In addition, this process can be used by
designers to design branching lines and
location of the valves in the network.
By closing a valve, the number of cut
off consumers and their consumption
load will be determined, which can be
used to decide on the location of the
valves.
CONCLUSION
The design of gas distribution network
needs a variety of spatial data and analy-
sis. Many of such analysis tools are
already available in a standard GIS soft-
ware such as ArcGIS.
However, a multi-purpose GIS software
cannot be easily used by the network
designers. In addition, many of the
processes in network design need func-
tionalities that are not available in nor-
mal GIS software.
To overcome such shortcomings,
required functionalities were developed
and added to the system by program-
ming by using ArcObjects. In addition, a
hydraulic software is linked to GIS to per-
form required hydraulic calculations. The
resulted system can be considered as a
simple spatial decision support system.
Using the system, a designer can follow a
sequence of processes to come up with
the optimal design.
In the sequence of the processes, the
result of selecting any alternative can be
tested and visualized. Using the system,
shortcomings and deficiencies of design
can be identified and proper changes in
the setting can be made to improve the
design.
In general the system is capable of mar-
ket analysis, node-map generation,
hydraulic calculation, design reliability
evaluation, helping the workflow man-
agement, and the event/crisis manage-
ment. Moreover, the system can be used
for spatial data management, including
editing, updating, storing and visualizing
of both data and analysis of results.
30 G I S D E V E L O P M E N T - M I D D L E E A S T J A N UA R Y - F E B R UA R Y 2 0 07
Saadi Mesgari
smesgari@yahoo.com
Reza Nourjou
Rezan2996@yahoo.com
Hossein Aghamohammadi
hossein.aghamohammadi@gmail.com
GIS group, Faculty of Geodesy
and Geomatics
K.N. Toosi University of
Technology, Tehran, Iran.
FFiigg.. 33 Topological relations in “Node-Matrix” and “Link-Matrix”, as
required by the “GPNET”