The document summarizes Purdue University's project to map its electrical infrastructure using GIS. A team mapped over 12,000 electrical distribution assets across campus to create a searchable digital inventory. This replaced outdated paper maps and provides campus staff accurate location data to support safety, planning, and asset management. The GIS database improves on previous CAD systems by making the data scalable, searchable, and able to represent changes over time as new information is added.
Muhammad (peae be upon him)The Perfect Manmuzaffertahir9
Muhammad (peae be upon him)The Perfect Man
The Biographical Sketch of the
Holy Prophet Muhammadsa
Since this book deals with the life of the
Holy Prophet Mu ammadsa in its various
dimensions, rather than in chronological order,
it seems appropriate that we start with a brief
biographical sketch of his blessed life. This will
also serve as an index for the important events
discussed in the various chapters of this book. The auspicious birth of the Holy Prophet
Mu ammadsa took place in the same historic
year in which Abrahah, the Governor of Yemen,
attacked the Ka‘bah. According to the research
carried out by Ma m d P sh Falk , the
Egyptian, the year was 571 A.D., and the date
was 20th April, or according to the Islamic
calendar, 9th Rabi‘-ul-Awwal. The Holy Prophet
Mu ammadsa received his first Divine revelation
at the age of forty, setting in motion the
following series of events:
1st year of Prophethood—610 A.D: Beginning of
the revelation of the Holy Qur’ n.
5th year—614 A.D: First migration to Abyssinia.
7th year—615 A.D: Siege of She‘be Abi Talib. The
miracle of the splitting of the moon.
10th year—619 A.D: Demise of
Khad jahra and
Ab lib. The Holy
Prophet Mu ammadsa's Nik with
classification of joints. example of different types of joints. different types of joints on the basis of axis of movements. clinical aspects of joints. different between arthritis.
Muhammad (peae be upon him)The Perfect Manmuzaffertahir9
Muhammad (peae be upon him)The Perfect Man
The Biographical Sketch of the
Holy Prophet Muhammadsa
Since this book deals with the life of the
Holy Prophet Mu ammadsa in its various
dimensions, rather than in chronological order,
it seems appropriate that we start with a brief
biographical sketch of his blessed life. This will
also serve as an index for the important events
discussed in the various chapters of this book. The auspicious birth of the Holy Prophet
Mu ammadsa took place in the same historic
year in which Abrahah, the Governor of Yemen,
attacked the Ka‘bah. According to the research
carried out by Ma m d P sh Falk , the
Egyptian, the year was 571 A.D., and the date
was 20th April, or according to the Islamic
calendar, 9th Rabi‘-ul-Awwal. The Holy Prophet
Mu ammadsa received his first Divine revelation
at the age of forty, setting in motion the
following series of events:
1st year of Prophethood—610 A.D: Beginning of
the revelation of the Holy Qur’ n.
5th year—614 A.D: First migration to Abyssinia.
7th year—615 A.D: Siege of She‘be Abi Talib. The
miracle of the splitting of the moon.
10th year—619 A.D: Demise of
Khad jahra and
Ab lib. The Holy
Prophet Mu ammadsa's Nik with
classification of joints. example of different types of joints. different types of joints on the basis of axis of movements. clinical aspects of joints. different between arthritis.
A Unified Approach for Modeling and Optimization of Energy, Makespan and Reli...Rafael Ferreira da Silva
Presentation held at MODSIM 2014 workshop - Seattle, USA
Abstract - Scientific workflows are a useful representation for managing the execution of large-scale computations on high performance computing (HPC) and high throughput computing (HTC) platforms. In scientific workflow applications, resource provisioning and utilization optimizations have been investigated to reduce energy consumption on Cloud infrastructures. However, existing research is largely limited to the measurement of energy usage according to resource utilization when running a program on an execution node. Furthermore, most existing optimization techniques for workflows are limited to single objectives (e.g. makespan), and some can deal with only two objectives. There does not exist an approach that deals with an arbitrary number of objectives and no scheduling technique explored tradeoffs among makespan, energy consumption, and reliability. In this work, we propose an energy consumption model for analyzing and profiling energy usage address real large-scale infrastructure conditions (e.g. heterogeneity, resource unavailability, external loads); the validation of the model in a fully instrumented platform able to measure the actual temperature and energy consumed by computing, networking, and storage systems; and a multi-objective optimization approach to explore tradeoffs among makespan, energy consumption, and reliability for multi-objective workflow scheduling.
More information: www.rafaelsilva.com
2015 GIS in Colorado: Going Mobile, Aurora Water Empowers Field Staff with Ta...GIS in the Rockies
The City of Aurora Water Department recently purchased 90 tablets to replace the paper mapbooks used daily by the operations and maintenance staff in the field. The initial intent of the tablets was to not only keep the O&M staff up to date on the latest utility changes without having to reprint the cumbersome $400 16’x20’ mapbooks, but also to get GIS data corrections from the field directly into the GIS data. This direct connection between the field staff and GIS data is the most practical way to correct the various location and attribute errors in the 3,000 miles of pipe and 175,000 appurtenances throughout the City of Aurora's water, wastewater and stormwater utilities. An additional benefit to the electronic mapbooks is the ability for the O&M staff to see and track more information about assets than was allowed in a static format. The software application being utilized for the mapbook interface is Esri's Collector for ArcGIS. A number of administrative staff also have licenses on their personal devices so they can refer to specific utility infrastructure while at meetings away from their office. The technology hardware and software has become very affordable which provides an excellent cost/benefit to the purchase.
The New Role of Data in the Changing Energy & Utilities LandscapeDenodo
Watch full webinar here: https://bit.ly/3PrxEx2
Energy companies - both producers and utilities - are facing a challenging and changing business and regulatory environment over the next decade or so. As governments around the world pledge to be 'net zero' by 2050, new regulations are putting pressure on energy companies to accelerate the move to renewable energy sources whilst at the same time gearing up for more widespread electrification as consumers move away from carbon fuels.
The growth of renewable energy sources has also changed the way that utilities manage demand response. The old way of bringing generating units (typically coal or gas-fueled generators) online for peak demand hours no longer works. The distributed utility infrastructure that is used today requires a lot more flexibility and planning to meet - and to shape - consumer demand.
At the heart of the energy company challenges is data. Data to better manage and optimize the generating resources. Data to better inform the consumers about their energy consumption. And data to deliver better services and new product offerings to those consumers.
In this webinar, we will look at how energy companies and utilities can liberate and democratize their data to better utilize the strategic data assets that they already own. We will look at how the Denodo Platform, powered by Data Virtualization, has helped energy companies around the world access real-time data to drive their operations and allow them to respond to the ever-changing business environment.
Captures, preserves, integrates, and exposes
Unconventional and emergent data feeds
Real time or archivally
Serve emergency response networks and general public
At Esri UK Annual Conference 2014
United Utilities (UU) is one of the UK’s largest water and wastewater companies with seven million people in the North West of England. UU had been working with an old GIS ‘landscape’ implementation, comprising five separate systems. Without an enterprise GIS platform affording ‘one version of the truth’, there were risks to the business of making decisions based on wrong or missing information. UU embarked on the journey of Linear Asset Management (LAM) programme with an aim to create a future-proof GIS platform and take UU right to the front of the utility industry in terms of leading-edge technology and state-of-the-art information management.
A Unified Approach for Modeling and Optimization of Energy, Makespan and Reli...Rafael Ferreira da Silva
Presentation held at MODSIM 2014 workshop - Seattle, USA
Abstract - Scientific workflows are a useful representation for managing the execution of large-scale computations on high performance computing (HPC) and high throughput computing (HTC) platforms. In scientific workflow applications, resource provisioning and utilization optimizations have been investigated to reduce energy consumption on Cloud infrastructures. However, existing research is largely limited to the measurement of energy usage according to resource utilization when running a program on an execution node. Furthermore, most existing optimization techniques for workflows are limited to single objectives (e.g. makespan), and some can deal with only two objectives. There does not exist an approach that deals with an arbitrary number of objectives and no scheduling technique explored tradeoffs among makespan, energy consumption, and reliability. In this work, we propose an energy consumption model for analyzing and profiling energy usage address real large-scale infrastructure conditions (e.g. heterogeneity, resource unavailability, external loads); the validation of the model in a fully instrumented platform able to measure the actual temperature and energy consumed by computing, networking, and storage systems; and a multi-objective optimization approach to explore tradeoffs among makespan, energy consumption, and reliability for multi-objective workflow scheduling.
More information: www.rafaelsilva.com
2015 GIS in Colorado: Going Mobile, Aurora Water Empowers Field Staff with Ta...GIS in the Rockies
The City of Aurora Water Department recently purchased 90 tablets to replace the paper mapbooks used daily by the operations and maintenance staff in the field. The initial intent of the tablets was to not only keep the O&M staff up to date on the latest utility changes without having to reprint the cumbersome $400 16’x20’ mapbooks, but also to get GIS data corrections from the field directly into the GIS data. This direct connection between the field staff and GIS data is the most practical way to correct the various location and attribute errors in the 3,000 miles of pipe and 175,000 appurtenances throughout the City of Aurora's water, wastewater and stormwater utilities. An additional benefit to the electronic mapbooks is the ability for the O&M staff to see and track more information about assets than was allowed in a static format. The software application being utilized for the mapbook interface is Esri's Collector for ArcGIS. A number of administrative staff also have licenses on their personal devices so they can refer to specific utility infrastructure while at meetings away from their office. The technology hardware and software has become very affordable which provides an excellent cost/benefit to the purchase.
The New Role of Data in the Changing Energy & Utilities LandscapeDenodo
Watch full webinar here: https://bit.ly/3PrxEx2
Energy companies - both producers and utilities - are facing a challenging and changing business and regulatory environment over the next decade or so. As governments around the world pledge to be 'net zero' by 2050, new regulations are putting pressure on energy companies to accelerate the move to renewable energy sources whilst at the same time gearing up for more widespread electrification as consumers move away from carbon fuels.
The growth of renewable energy sources has also changed the way that utilities manage demand response. The old way of bringing generating units (typically coal or gas-fueled generators) online for peak demand hours no longer works. The distributed utility infrastructure that is used today requires a lot more flexibility and planning to meet - and to shape - consumer demand.
At the heart of the energy company challenges is data. Data to better manage and optimize the generating resources. Data to better inform the consumers about their energy consumption. And data to deliver better services and new product offerings to those consumers.
In this webinar, we will look at how energy companies and utilities can liberate and democratize their data to better utilize the strategic data assets that they already own. We will look at how the Denodo Platform, powered by Data Virtualization, has helped energy companies around the world access real-time data to drive their operations and allow them to respond to the ever-changing business environment.
Captures, preserves, integrates, and exposes
Unconventional and emergent data feeds
Real time or archivally
Serve emergency response networks and general public
At Esri UK Annual Conference 2014
United Utilities (UU) is one of the UK’s largest water and wastewater companies with seven million people in the North West of England. UU had been working with an old GIS ‘landscape’ implementation, comprising five separate systems. Without an enterprise GIS platform affording ‘one version of the truth’, there were risks to the business of making decisions based on wrong or missing information. UU embarked on the journey of Linear Asset Management (LAM) programme with an aim to create a future-proof GIS platform and take UU right to the front of the utility industry in terms of leading-edge technology and state-of-the-art information management.
2. 2
PROJECT TEAM MEMBERS
• Dave Biggs
– Energy and Construction, High Voltage Electrical Engineer III
• Malcolm Drane
– Distribution Systems, High Voltage and Utilities Metering Supervisor
• Daniel Francis
– Distribution Systems, High Voltage Supervisor
• Mark Hickman
– Asset Management, Utilities and Energy, GIS Analyst I
• David Musi
– Asset Management, Interim Director
• Jay Pierce
– Energry and Construction, High Voltage Electrician IX
• Jay Schwartz
– Distribution Systems, Operations/Distribution Manager-Utilities
• Angela Slocum
– Asset Management, Assistant Director of Facilities Information Services
3. ABOUT
• Over 280 buildings
• More than 22M GSF
• 2,600+ acres
• Over 200 miles of underground utilities
SERVICES
• Physical Facilities
– Buildings and Grounds
• Operations and Maintenance
– Energy and Construction
• Energy and Utilities
– Asset Management
• Campus Planning
• Office of University Sustainability
• External Units
– Environmental Health and Public Safety
• Police
• Fire
• Radiological and Environmental
Management
– Service Enterprises
• Parking, Airport and Transportation
• Materials Management and Distribution
3
CAMPUS FACTS AND FIGURES
PURDUE UNIVERSITY WEST LAFAYETTE
4. RECENT/CURRENT
• Annexation to greater West Lafayette area
• Thomas S. and Harvey D. Wilmeth Active
Learning Center
• Honors College and Residences
UPCOMING
• Purdue Research Park Aerospace District
• Flex Lab Facility
• Bechtel Innovation Design Center
• Zucrow Lab expansion
• State Street Redevelopment Project
• Football Training Facility
• Hobart and Russell Creighton Hall of
Animal Sciences and Land O’ Lakes
Center for Experiential Learning
• Agronomy Center Automated Phenotyping
and Seed Processing Laboratory
4
CAMPUS CHANGES
PURDUE UNIVERSITY WEST LAFAYETTE
5. Problem
The University has experienced significant changes on and around campus over the last several
years. Documenting changes to the campus environment is necessary for the safety of students,
faculty, and staff, as well as planning for construction projects and providing campus services.
• Documentation supporting electrical distribution assets was outdated or non-existent
• Methods for obtaining information about the campus electrical infrastructure were inefficient
and paper-based
Information Seeking Methods
• Research hardcopy maps across different locations
• Evaluate accuracy and currency
of changes
• Seek out individuals who may have associated institutional knowledge
• Contact Indiana 811 and/or the University’s locate crew
5
THE CHALLENGE
ELECTRICAL DISTRIBUTION
6. CAD
• Graphics are representative, not
driven by data
• New information requires a completely
new map each time
• Only outputs available are those that
are inputs or representations
• Features must be re-symbolized
manually to represent changes
GIS
• Graphics driven by data through a
Geodatabase
• New information can be added to the
same map or linked to other datasets
• Greater amount of attribute data about
an object can be maintained
• Scalable
• Searchable
• Data representation allows for
situational illustration
6
THE SOLUTION
ELECTRICAL DISTRIBUTION
Use ESRI’s ArcMap solution within Physical Facilities GIS to develop an inventory and map
for identified campus electrical distribution assets.
This would represent the first utility discipline mapped within a true GIS. Previous utilities
had been mapped in a CAD-based environment which has advantages and limitations.
7. OBJECTIVE
• Update, inventory and map electrical distribution assets in and around the West
Lafayette campus
• Make the product available for staff to use for asset management and planning needs
PURPOSE
• Campus safety
• Inventory and location of assets for biannual infrastructure inventory report to State
• Support development and maintenance of physical campus
• Knowledge base
7
PROJECT OVERVIEW
ELECTRICAL DISTRIBUTION
8. 8
CHALLENGES
ELECTRICAL DISTRIBUTION
• Age of data and frequency of updates
• No single source of data and communication; multiple maps and sources
• Categorization of features had to balance both inventory and client needs
• Data collection process was needed
• Field verification to identify/validate gaps
9. Care was taken to identify important details,
such as
• Object number
• Location
• Spare(s)
• Manhole size
• Orientation
• Access
• Manhole number
9
PROJECT CONSIDERATIONS
ELECTRICAL DISTRIBUTION
10. Feature Creation Involved:
• Importing graphic data from CAD-based
maps and files
• Identification of feature categories
• Definition of collection requirements
• Definition of symbolization
10
FEATURE CREATION
ELECTRICAL DISTRIBUTION
Abandoned
Annotation
Boulevard Lighting
Boulevard Supporting
Duct banks
Lighting
Hand Holes
Manhole Lids
Manholes
Power Poles
Primary
Switches
Transformers
Vault
Over 12,000 features
documented
11. 11
Outcome
ELECTRICAL DISTRIBUTION
Outcome
• Staff are able to use the application in
project planning
• Source data is attached for ready
reference
• The ability to trace distribution
throughout multiple sites is more
efficient
12. 12
Next Steps
ELECTRICAL DISTRIBUTION
• Establish plan and process to maintain data currency
• Collaborate with Utilities Distribution staff on further data collection
• Align symbology with industry norms
• Partner with Utilities stakeholders to transition other utilities
General facts about the campus facilities and services. Frame the context for the problem. Purdue operates much like a small municipality in that we manage operations such as public safety, urban planning and development, power and utilities, cleaning, recycling, snow removal; we have an airport, shipping and receiving, and other operations that provide services to our campus clients.
Framing the problem con’t
Recent changes – upcoming changes
We need to make sure we know where assets are in order to support efficient campus safety and operations as well as jurisdictional arrangement (who owns what)
Using the last two slides for statistics and recent changes; we have had a lot of changes to the campus over the last 10-15 years. Many of our disciplines have already been mapped; however, our electrical distribution system was an outlier. Methods for obtaining information about the system were still primarily paper based, and recent retirements were resulting in a loss of institutional knowledge. It was determined that we needed to move this discipline into a solution that could serve as a collective knowledge base.
Physical Facilities has had iterations of a GIS since 2000 or so, with the focus on the physical campus environment (buildings, roads, surfaces, utilities, property, etc.); however, not all disciplines have made it into the GIS. Of the disciplines in the GIS, this project represents the first utility project fully developed within a true GIS environment.
Define the objective of the project and the problem it was designed to solve.
Best source of information has been determined through research, field inspection, and utilization of combined knowledge of staff resources.
Collection order was determined in our initial meeting as manholes would be the first since they would the building blocks of all other features.
Field location came from inspection teams and documented on spec documents.
Data collection process would be determined by the type of data that would be needed to be retrieved vs. following a trace.
Data continuation plan identifies the champion for the system and communication and distribution of future changes – documentation.
Feature broken down to:
Abandoned features in place
Lighting and lighting wire
Underground equipment
Conduit (Primary, secondary, and service)
Hand holes
Switches
Vaults
Transformers
Poles
Manholes and lids
Physical Facilities has had iterations of a GIS since 2000 or so, with the focus on the physical campus environment (buildings, roads, surfaces, utilities, property, etc.); however, not all disciplines have made it into the GIS. Of the disciplines in the GIS, this project represents the first utility project fully developed within a true GIS environment.
