USGIF GotGeoint Blog USGIF promotes geospatial intelligence tradecraft and a stronger community of interest between government, industry, academia, professional organizations and individuals focused on the development and application of geospatial intelligence to address national security objectives.
If you would ask me among all the new technologies on display here and at other events which will likely dramatically reduce the bottom line of utilities in the transmission business I would say unmanned aerial vehicles (UAVs) or drones. For example, every utility which has transmission lines spends large sums on overflying, typically with very expensive helicopter flights, transmission lines for vegetation management to monitor the trees to prevent them from interfering with transmissions lines. If instead this could be done with much less expensive UAV flights, the savings would be huge. But right now this is not possible, because commercial operation of UAVs is only allowed by the Federal Aviation Authority (FAA) with visual line of sight (VLOS) rules.
The potential ROI of using UAVs for vegetation monitoring are expected to be sizable, but this requires the FAA to change regulations to permit operating of UAVs with beyond visual line of sight (BVLOS) rules. Today at DistribuTECH2016 Eileen Lockhart of Xcel Energy with partners Environmental Consultants Inc and Flot Systems gave a presentation that showed just how close we are to UAVs operating under BVLOS rules becoming a commercial reality for electric power utilities.
Xcel Energy, which has electric and gas assets in eight states, is the fourth largest utility in the U.S. They have partnered with EEI, EPRI, INL and others in the utility sector to show the way in the application of UAVs in the utility sector. This includes working with the FAA to push forward the practical application of UAVs in the utility sector. Their objectives are improved safety for utility employees and the public, reducing risk to and improving reliability of the grid, and reducing the cost of operating and maintaining grid infrastructure. The technologies involved include GIS and geospatial analytics in addition to the UAVs themselves. Expected sources of major savings are reducing the need for expensive helicopters and plane flights and the time utility employees have to spend in the field.
Xcel launched their UAV Proof of Concept project in 2015 with seven UAV missions in transmission, gas operations, energy supply, and electricty distribution.
Transmission line and tower inspections
Substation facility rating data collection
Pipeline bridge and river crossings inspections
High pressure pipeline inspections
Coal/ash storage inventory (volumetric)
Wind turbine blade inspections
Storm damage assessment
Just last week (Feb 3, 2016) Xcel with its partners completed the first beyond visual line of sight mission with UAV flights over 20 miles of transmission lines. They are convinced that BVLOS flights will become a commercial reality in the near future. The UAV flights will not be flown by Xcel itself but by contractors such as Flot Systems operating with FAA licences. Xcel has not yet calculated ROIs for the applications using UAVs, but plan to do so soon.
At the Year in Infrastructure conference in London SA Water is one of the finalists for the annual Be Inspired Innovation in Roads Awards. Today Rowan Steele presented an overview of how SA Water, based in Adelaide, South Australia, has applied operation analytics to reduce the water utility's power bill by A$3 million.
South Australia has been suffering from an extended drought for nearly a decade and has just built a desalinization plant to provide more reliable water to their customers.
About 40% of the South Australian power generation is now renewable. Most of this is wind (33%) and solar (8%). Fluctuating sources of power generation means that the price of electricity can range widely from -A$1000 to A$13,000 per megawatt hour (Mwh).
The drought, the new desalinization plant and the fluctuating cost of power introduced complexity into managing what used to be a fairly simple water network.
To address these issues SA Water decided to invest significantly in IT to help manage the water network better. They acquired a hydraulic model that allowed them to simulate the network under different conditions. They also invested in an operational analytics tool.
Together these applications have helped them optimize their network in various ways, such as optimizing chlorine dosing (water from the desal plant has very little organics compared to river water), minimizing electric power costs and reducing water age in some parts of the network. The benefits have been significant. They not only have been able to reduce their power bill by A$3 million, but also have cut their network operating costs by nearly a A$ million. It has also resulted in improved water quality. For example, they can map water age geographically for their entire service area. More fundamentally it has given them much greater insight into sources of revenue and the costs of various aspects of operating a water network.
The electricity industry is undergoing a transformation. With utilities embracing geospatial technology and turning into data driven enterprises in the Smart Grid scenario, the sector is staring at an innovative future.
The National Academy of Engineering identifies the electric power grid as the first of 20 major engineering achievements that has had the greatest impact on the quality of life in the 20th Century. Modern society has reached a point where virtually every crucial economic and social function depends on the secure, reliable operation of electric power infrastructure. But because it has become so crucial for modern life, it faces major challenges.
The major drivers for the fundamental change underway in the electric power industry are increasing demand, universal access, decarbonizing electric power, reducing revenue losses, and grid reliability and resilience. Some of the technologies that are contributing to this transformation are intelligent devices integrated with a communications network, distributed renewable power generation especially wind and solar PV, net zero energy buildings, microgrids, and the new remote sensing technologies of subsurface utility engineering.
For an industry not known historically for rapid change, many utilities are in the midst of transforming themselves into data driven enterprises. Recently IDC published its future predictions for the development of the electric power industry over the period 2015-2018. For many in the industry these are quite startling and clearly reflect an industry that is rapidly evolving.
The technology roadmap for the smart grid involves the deployment of increasing numbers of intelligent electronic devices for sensing and for control. The challenge is federating the data from all of these devices, extracting information from it, and dispatching the information to the right control devices.
With the changes that the electric power industry is undergoing now, analysts see geospatial technology poised to become a foundation technology for the smart grid. The role of utility GIS is expected to touch every aspect of a utilities business, affecting customers, operations and management because geospatial is the logical technology that can provide the basis for integrating data from intelligent electronic devices such as smart meters and the information silos associated with proprietary applications.
You can read more about smart grid and relevance of geospatial data and technology, real-time big spatial data, standards for interoperability, the importance of data quality, open source geospatial technology, spatial analytics and other aspects of the role of geospatial technology in the smart grid in Geospatial World.
A new open journal Open Geospatial Data, Software and Standards provides an advanced forum for the science and technology of open data, crowdsourced information, and sensor web through the publication of reviews and regular research papers. The journal publishes articles that address issues related, but not limited to, the analysis and processing of open geo-data, standardization and interoperability of open geo-data and services, as well as applications based on open geo-data. The journal is also meant to be a space for theories, methods and applications related to crowdsourcing, volunteered geographic information, as well as sensor web and related topics.
Conservation voltage reduction (CVR) or volt-var is an approach to demand response (DR) and energy efficiency (EE) that can provide major benefits without significant alterations to the power distribution system, unlike other DR/EE approaches. Volt-var is used to reduce demand and energy consumption during peak load when electricity prices are inflated and demand may exceed the available energy while maintaining customer voltage power quality according to tolerances mandated by the regulator to protect consumer and utility devices. Peak demand can be reduced typically by 2 to 4 %. The business benefits are a greater percentage of energy delivered to paying customers, reduced investment in peaking generation plants or in buying power from generators at peak market prices, and a reduction in the environmental impact of energy delivery (reduced emissions).
For the past seven years the Electric Power Research Institute (EPRI) has been leading a smart grid demonstration project initiative that includes regional demonstrations and supporting research focusing on smart grid activities related to integration of distributed energy resources (DER) including distributed generation, storage, renewables, and demand response technology. A number of well-known electric power utilities have participated in this program by developing and reporting on smart grid demonstration projects.
AEP Smart Grid Demonstration
Con Edison Smart Grid Demonstration
Duke Energy Smart Grid Demonstration
EDF Smart Grid Demonstration
Ergon Energy EPRI Smart Grid Demonstration
ESB Smart Grid Demonstration
Exelon (ComEd/PECO) Smart Grid Demonstration
Hawaiian Electric Company (HECO) Smart Grid Demonstration Project
FirstEnergy Smart Grid Demonstration
Hydro Quebec Smart Grid Demonstration
KCP&L Smart Grid Demonstration
PNM Smart Grid Demonstration
Sacramento Municipal Utility District Smart Grid Demonstration
Southern California Edison Smart Grid Demonstration
Southern Company Smart Grid Demonstration
As an example, AEP's smart grid demonstration project is based on a 10,000 customer pilot that includes smart meters, communications, end-use tariffs and controls, and distribution automation and volt/var control. It integrates other distributed and end-use technologies that are being evaluated by AEP including four MW scale sodium sulfur battery installations, two 70-kW roof-top photovoltaic systems, a new 5.7 kW concentrating solar technology, three 60 kW natural gas-fired reciprocating engines capable of combined heat and power generation, two plug-in hybrid electric vehicles, a large air conditioning system, two 10 kW wind turbines, and several 25 kW community energy storage systems (CES).
Currently a significant amount (about 10 %) of electric energy produced by power plants is lost during transmission and distribution to consumers. About 40 % of this total loss occurs on the distribution network.
In a recent blog, Jared Green, Project Manager for EPRI's Smart Grid Demonstration Initiative reported a surprising finding from the Initiative. Through the Smart Grid Demonstration Initiative EPRI found that volt-var control was was one of the most effective technologies in reducing energy demand. EPRI reported that most of the utilities that ran demonstration projects had already deployed or were deploying volt-var technologies to optimize their distribution grids. Results from the demonstration projects showed that a significant reduction in energy demand could be achieved. EPRI's analyses showed that for each 1 % reduction in voltage a corresponding 0.4-0.7 % reduction in energy demand was achieved.
For utilities that used volt-var control for targeted demand reduction, volt-var can reduce peak demand as well. Duke Energy, for example, reported reducing peak demand by about two hundred megawatts (MW) during the 2014 cold period in the Eastern U.S. It has been estimated that in the U.S. with every one percent reduction in peak demand there would be a reduced need to build a 7,900 MW power plant.
Even greater control and reduced risk can be achieved by Integrating volt-var with advanced metering infrastructure (AMI) and GIS. Volt-var/AMI/GIS provides greater precision in managing voltage reduction. At Distributech 2014, Tantalus reported using GIS is to produce voltage maps. Voltages reported by smart meters can be mapped geographically in real-time across the entire distribution network in the form of isovolt maps. This makes it possible to rapidly identify areas of low voltage and correct them in real time.
INSPIRE-Geospatial World Forum 2015, a joint conference organized by the European Commission and Geospatial Media and Communications, has made available its full conference program. Almost 500 presentations are scheduled on topics including building information modelling (BIM), open data, big data analytics, open standards, linked data, cloud computing, crowdsourcing, Earth observation, indoor positioning, land information systems for smart cities, urban resilience and sustainability, health, agriculture and others. Some 2000 delegates are expected to attend from more than 80 countries. Top sponsors include Trimble, Topcon, ESRI, Digital Globe, Oracle and Bentley.
The theme of the conference is CONVERGENCE: Policies + Practices + Processes via PPP with a focus on improving coordination among policy-makers, technology providers and users. Including geospatial data and technology in construction, agriculture, health and other industry workflows is an enabler for more successful public–private partnerships (PPP) by facilitating more informed decision making among the stakeholders.
A very exciting project has been proposed at LocationTech (it's in the Project Proposal Phase as defined in the Eclipse Development Process). Simply put, GeoWave intends to do for "big data" databases (initially Apache Accumulo) what PostGIS does for SQL databases (PostgreSQL). GeoWave is open source software (licensed under Apache 2.0) that adds support for geographic objects, multi-dimensional indexing and geospatial operators to Apache Accumulo.
To deal with data volumes that are too large for traditional SQL databases, beginning in 2004 Google developed "BigTable" which is a compressed, high performance, and proprietary data storage system built on the Google File System that is used by a number of Google applications including Google Maps. Apache Accumulo is a distributed database that is based on Google's BigTable design and is built on top of Apache Hadoop and other Apache projects. For putting geospatial data into a key/value store like Accumulo the key concept is that of the "geospatial hash" which converts a 2D, 3D or 4D coordinate such as a lon and lat, lon, lat and elevation or a lon, lat, elevation, and time to an integer index, such as a quadtree or R-Tree index, that can be used to order and rapidly retrieve spatial data. GeoWave means that you can manage massive amounts of geoinformation in key/value databases such as Accumulo and take advantage of programs such as MapReduce which Accumulo uses for distributed processing.
Connecting Accumulo to GeoServer, GeoTools, and PDAL
In addition GeoWave includes a GeoServer plugin to enable geospatial data in Accumulo to be shared and visualized via GeoServer OGC standard web services. It provides plugins to connect the popular geospatial toolset GeoTools and the point cloud library PDAL to an Accumulo based data store. The PDAL plugin makes it possible to interact with point cloud data in Accumulo through the PDAL library.
The GeoWave project Work plans to extend the same geospatial capabilities to other distributed key-value stores in addtition to Accumulo. The next data store will be HBase. It also will support other geospatial frameworks in addition to GeoTools/GeoServer. Mapnik is the next geospatial framework targeted for GeoWave support. GeoWave says it is very interested in GeoGig and support for this geospatial data versioning library is currently on their backlog. GeoGig takes the concepts used in distributed version control such as Git and applies them to versioned spatial data.
GeoWave was developed at the National Geospatial-Intelligence Agency (NGA) in collaboration with RadiantBlue Technologies and Booz Allen Hamilton. The NGA released GeoWave under an open source license in June, 2014. The primary goal of GeoWave is to bridge the gap between well-known geospatial projects such as GeoTools and distributed databases.
I blogged previously about GeoMesa, the first LocationTech project that aims at providing a foundation for storing, querying, and transforming spatio-temporal data in Accumulo. It implements interfaces that enable Geoserver and other Geotools projects to use Accumulo as a data store.
For the first time in a hundred years, the electric power utility industry is undergoing a momentous change. Distributed renewable power generation, especially solar photovoltaics (PV), is introducing competition into an industry that has been managed as regulated monopolies. Consumers with solar PV panels on their roofs are fundamentally changing the traditional utility business model. A recent report from the Edison Electric Institute (EEI) report refers to disruptive challenges that threaten to force electric power utilities to change or adapt the business model that has been in place since the first half of the 20th century.
Most utilities are in the midst of deploying smart grids, which basically amounts to applying the internet to the electric power grid to link intelligent electronic devices, sensors and grid control applications to enable data-driven decision making. One of the most important changes driven by the implementation of smart grid is the much greater importance of location. Geospatial technology (location, geospatial data management and spatial analytics) is seen as foundational techology for the smart grid.
The other major global change in energy is the shift in energy demand from the world's advanced economies to emerging economies. Energy demand from OECD countries has hit a plateau. Currently China is driving world energy demand. The International Energy Agency's (IEA) World Energy Outlook 2014 projects that in the future as demand slows from China, world energy demand will be driven by India, the Middle East, and Africa and Latin America.
Recently IDC Energy Insights released a report IDC FutureScape: Worldwide Utilities 2015 Predictions with predictions for the future of the utility business. Some of these are startling, suggesting that the utility industry is going to experience fundamental changes in how they do business over the next few years.
New business models
IDC predicts that utilities will be looking less at generation as a source of revenue. IDC predicts that by 2018 45% of new data traffic in utilities' control systems will originate from distributed energy resources that are not owned by the utility.
To make up for this loss of generation revenue IDC predicts that utilities will be looking for new business opportunities such as services. Specifically, IDC predicts that utilities will derive at least 40% of their earnings from new business models by 2017.
Cloud - By 2018 cloud services will make up half of the IT portfolio for over 60% of utilities.
Integration - In 2015 utilities will invest over a quarter of their IT budgets on integrating new technologies with legacy enterprise systems.
Analytics - By 2017 45% of utilities' new investment in analytics will be used in operations and maintenance of plant and network infrastructure.
Mobility - 60% of utilities will focus on transitioning enterprise mobility to capitalize on the consumer mobility wave.
Smart systems - By 2018 cognitive systems will penetrate utilities' customer operation to improve service and reduce costs.
Some of the important drivers for these trends include the global redistribution of energy demand from the world's advanced to the emerging economies, the rapid emergence of cloud-based provisioning and services, increasing regulatory pressure responding to customer demand to improve energy market transparency and competitiveness, cross-industry competition for technical, especially IT skills, smart analytics, and virtual and augmented reality beginning to be applied in business.
Top 10 technology trends
In March 2014 Gartner, Inc. identified the top ten technology trends which it saw impacting the global energy and utility markets. There is considerable overlap between IDC's business predictions and the technology trends identified by Gartner, Inc.
Social media are beginning to be used as a customer acquisition and retention medium, as a consumer engagement channel to drive customer participation in energy efficiency programs, a source of information about outages, and as the emerging area of crowd-sourcing distributed energy resources coordination. Social media are also being used by utilities for communicating information about outages with customers.
Smart grid will increase the quantity of data that utilities have to manage by a factor of about 10,000 according to a recent estimate. This trend is driven by intelligent devices, sensors, social networks, and new IT and OT applications such as advanced metering infrastructure (AMI), synchrophasors, smart appliances, microgrids, advanced distribution management, remote asset monitoring, and self-healing networks. The type of data that utilities will need to manage will change: for example, real-time data from sensors and intelligent devices including smart phones and unstructured data from social networks will play a much greater role for utilities in the future.
Mobile and Location-Aware Technology
Mobile and location-aware technology which includes hardware (laptops and smartphones), communication products (GPS-based navigation, routing and tracking technologies), social networks (Twitter,Facebook and others) and services (WiFi, satellites, and packet switched networks) are transforming all industries. Utilities for the most part have been slow to adopt consumer mobile technology, but this is changing.
Acccording to Gartner, areas such as smart meter, big data analytics, demand response coordination and GIS are driving utilities to adopt cloud-based solutions. Early adopters of cloud technologies include small utilities with limited in-house IT skills and budgets, organizations which provide application and data services to multiple utilities, such as cooperative associations and transmission system operators, and investor-owned utilities (IoUs) conducting short-term smart grid pilots.
Sensors, which are being applied extensively throughout the entire supply, transmission and distribution domains of utilities, provide a stream of real-time information from which a real-time state of the grid can be derived.
IT and OT Convergence
Virtually all new technology projects in utilities will require a combination of IT and OT investment and planning, such as AMI or advanced distribution management systems (ADMSs). This will be a challenge for many utilities, especially smaller ones, which don't have in-house IT skills.
Advanced Metering Infrastructure
AMI provides a communication backbone aimed at improving distribution asset utilization and facilitating consumer inclusion in energy markets.
Internet of Things
Sensors and actuators embedded in physical objects are linked through wired and wireless networks, using the same Internet Protocol (IP) that connects the Internet. When intelligent objects can both sense the environment and communicate, they become tools for understanding utility grids and responding to changes in near real-time. Following McKinsey there are two key benefits arising from the Internet of Things for utilities
Enhanced situational awareness - acheiving real-time awareness of physical environment, in this case, the grid
Sensor-driven decision analytics - assisting human decision making through deep analysis and data visualization
Asset performance management
Traditional asset management approaches are too limiting for today’s performance-based, data-driven utility environment. Asset performance management solutions need to deliver real-time equipment performance, reliability, maintenance and decision support for effective resource management so that operations and maintenance teams are empowered with real-time decision support information, providing the right information to the right people at the right time and in the right context. The result is improved operational performance and better asset availability and utilization.
Business Intelligence and Advanced Analytics
Analytics will become essential as the volume of data generated by intelligent devices and sensors, mobile devices (the Internet of Things) and social media increases and huge pools of structured and unstructured data need to be analyzed to extract actionable information. Analytics will become embedded everywhere, often invisibly.
For the first time in a hundred years, the electric power utility industry is undergoing a momentous change. Distributed renewable power generation, especially solar photovoltaics (PV), is introducing competition into an industry that has been managed as regulated monopolies. Consumers with solar PV panels on their roofs (and in not-too-distant future with Tesla batteries in the basement) and companies like Solar City (co-founded by Tesla co-founder Elon Musk) are fundamentally changing the traditional utility business model. A recent report from the Edison Electric Institute (EEI) report refers to disruptive challenges that threaten to force electric power utilities to change or adapt the business model that has been in place since the first half of the 20th century.
As a result, every aspect of the the electric power industry is changing. One of these changes involves the role that geospatial data and technology play in the electricity industry. In the past, geospatial has been a tactical tool — it was (and still is) used in a variety of applications — in outage management, asset management, mobile work- force management, energy density modelling, vegetation management, demand modelling, transmission line siting, substation siting and design, energy performance modelling of buildings, disaster management, and mapping renewable resources, to name just a few. However, with the changes that the industry is undergoing now, geospatial is poised to become a foundation technology for the smart grid.
The Energy Issue of Geospatial World Magazine explores the impact that this momentous change is having on the application of geospatial technology in the electric power utility sector. Below I'm providing an overview of the material relating to electric power you'll find in this issue.
GIS has been widely used by utilities for years for automated mapping/facilities management, back office records management, asset management, transmission line siting, and more recently for design and construction, energy conservation, vegetation management, mobile workforce management (MWFM), and outage management (OMS). Now, utilities are integrating GIS with automated meter infrastructure (AMI) and supervisory control and data acquisition (SCADA) systems. Intelligent design has crossed over from the office to the field in utilities, also enabled by the capabilities of GIS, says Smith. Geospatial-related analytics (spatial analytics) is seen as one of the key aspects of success for electric utility operations in the smart grid era. Looking for patterns and correlations between different land, weather, terrain, assets, and other types of geodata will be increasingly important for utilities. Power-related analytics with geospatial components include network fault tracing, load flow analysis, Volt/VAR analysis, real-time disaster situational awareness, condition-based maintenance, and vegetation management. The smart grid is all about situation awareness and effective anticipation of and response to events that might disrupt the performance of the power grid. Since spatial data underlies everything an electric utility does, GIS is the only foundational view that can potentially link every operational activity of an electric utility, including design and construction, asset management, workforce management, and outage management as well as supervisory control and data acquisition (SCADA), distribution management systems (DMSs), renewables, and strategy planning.
Peter Batty reports on the major growth in geospatially-enabled Web and mobile applications with a special focus on the open source geospatial community and the significant impact of these technologies in the utility sector. "In general, there are a lot of geospatial open source software components available now that have the capabilities and robustness to be used in serious enterprise applications." John McDonald, Chairman of the Smart Grid Interoperability Panel has been a firm believer for a long time that geospatial information is part of the foundational platform for smart grid. SGIP has signed a memorandum of understanding with the Open Geospatial Consortium with the goal of incorporating more geospatial standards into SGIP standards. Cindi Smith of Bentley goes even further and argues that “geospatial technology is already a foundational component of electric power utilities’ IT/OT systems. Smart grid simply brings more focus to the role it can play by virtue of the visibility of smart grid projects and processes in a utility and their need to exploit the vast amounts of data produced by the smart grid." Loek Bakker & Jan van GelderIt of Alliander, a Dutch utility company, describe how essential it has been for Alliander to integrate GIS, ERP and SCADA systems for a correct picture of its assets. As electric utilities evolve into increasingly data-driven organisations, Jeffrey Pires and G. Ben Binger describe how GIS is fast emerging as the backbone for data management platforms.
Cities are beginning to develop 3D models of underground infrastructure motivated by new underground remote-sensing technologies and by ROIs of up to of US$21.00 saved for every US$1.00 spent on improving the quality level of subsurface utility information. Steve Dibenedetto, Senior Geoscientist and Technology Manager, Underground Imaging Technologies (UIT), part of Caterpillar describes new remote-sensing technology for detecting and geolocating in 3D underground utility infrastructure such as Ground Penetrating Radar (GPR) and Electromagnetic Induction (EMI).
The Indian on-going Restructured – Accelerated Power Development and Reforms Program (R-APDRP) is one of the largest IT initiatives by electric utilities anywhere in the world — in one integrated project, all state-owned distribution utilities in India are building IT infrastructure, IT applications and automation systems. The programme set out to create baseline data in the form of consumer indexing, GIS mapping and asset mapping. Reji Pillai & C. Amritha assess how GIS can be applied in this context.
Integrating geospatial and BIM is a key enabler for energy performance modeling which is a fundamental instrument for reducing the energy consumption and improving the energy performance of new and existing buildings. According to a report from Navigant Research, global zero energy buildings revenue is expected to grow from $629.3 million in 2014 to $1.4 trillion by 2035.
Wolfgang Eyrich of Entegra shares how Entegra’s primtech product, which is designed to help substation designers deliver designs based on integrated product modelling, provides a geographical context to substation designing.
Matt Zimmerman of Schneider Electric highlights one of Schneider Electric's key techologies "graphic work design" which is integrated geospatial and engineering design (CAD or BIM). Schneider Electric's geospatial division focuses on developing integrated, location-aware enterprise solutions such as integrated outage management (OMS), customer information system (CIS), GIS, and external weather reporting and forecasting service to help plan crew deployment during a storm. Matt foresees that location-aware predictive analytics for electric networks is going to be one of the major development areas for utilities in the future. Brad Williams of Oracle points out that spatial analytics is becoming a key technology for electric utilities because everything a utility does - customers, assets, and operations - involves location.
One of the biggest challenges that utilities are experiencing is increasing volumes of structured and unstructured data (big data) that is overwhelming traditional enterprise systems. The structured data comes from smart meters and intelligent electronic devices, and the unstructured data from social networks including Twitter, Google, Facebook and other social applications. Consumerization of geospatial technology (we are all GPS-enabled sensors) will enable crowd-sourcing new sources of information about electric power networks most of which involves location (big spatial data).
Very excited to see this course given at IIT Bombay. We need more courses on geospatial technology for engineers and architects.
Title : GIS for Civil Engineers - A Short Term Course at IIT Bombay, India
When : 01 Dec 2014 to 05 Dec 2014
Where : IIT Bombay Website : http://www1.iitb.ac.in/~qip/QIPBrochure-Q7.pdf
Description : The short term course is intended to introduce the following themes:
- To spread the importance of GIS in Civil Engineering
- To promote the use of open source GIS softwares
- Teach the basic concepts and hands on experience on few applications so that at the end of course, participants reach such a level that they can further explore themselves according to their needs.
Officers, Engineers and Scientists working in Water Resources Engineering, Urban/town planning, Municipal agencies, Consulting companies, NGO’s as well as self-employed practitioners engaged in spatial analysis of our surrounding environment would benefit from the proposed program. As participants are expected from all over India, this course would provide an excellent opportunity for the participants to interact with one another and discuss problems and solutions of mutual interest.