Between the Poles

Avoiding a repeat of the CAD/GIS quaqmire of the past quarter century

Yesterday at Distributech 2018 in San Antonio I listened to a talk from a consulting company contracted by an electric power utility to clean up GIS data originally sourced from CAD drawings.  This reminded me once again that is a challenge that telecommunications and cable companies and electric and water utilities have been attempting to deal with at least since the early 1990s and for some even before that.  Telecommunications and cable and leading electric power utilities resolved this problem at least a decade ago, but for some electric power and even more water utilities it remains a problem that is going to hold these utilities back when they should be accelerating their adoption of digital technologies.

I began working in the utility and telecom sector in 1993, specifically in developing software for records management (called network documentation outside of North America), and at that time the magnitude of the AEC+geospatial cultural mismatch problem was just beginning to be appreciated by utilities and telecoms. In utilities and telecoms planners tend to use GIS tools, engineers and designers CAD tools, construction folks in the field paper CAD drawings, and asset managers GIS integrated with their FM tools. Fashioning AEC and geospatial data into an efficient data flow from planning through design and construction to operations and maintenance represented a challenge that remains a problem for utilities. The Between The Poles blog is over ten years old and one of the persistent themes from the very beginning in 2006 was the challenge of integrating CAD and GIS data in a common workflow (some examples; 2006, 2007, 2008 ).

A workflow that is found at every utility and telecom involves the design-build-maintain information flow. The workflow begins with an engineer and drafter producing a design, typically a CAD drawing, which is printed for the construction contractor to use in building a facility. The contractor uses the drawing in the field and then returns it as an "as-built" to the utility's records management group, who enter it, traditionally by manually redigitizing it from the paper drawing, into a GIS that is intended to contain the digital twin of the network. The data in the GIS is used for network maintenance, outage management and other functions. The reason for the manual redigitization step is the "errors" that CAD drawings inevitably contain unless drafters are forced to adhere to "geospatial rules". This entire process is slow and error-prone and backlogs of as-builts waiting to be entered into the GIS stretch into months and even years. The result is that utility GIS data is more often than not incomplete, out-of-date, and unreliable. For example, at the beginning of the broadband revolution, telecoms needed to be able to tell customers whether they were close enough to a terminal and fiber to be eligible for ADSL. In one of the largest telecoms in the U.S. the GIS records were so incomplete and unreliable that survey teams had to be sent out at considerable cost to resurvey the location of their terminals and fiber cables.

Because there was no standards-based solution to the CAD+GIS problem, every utility and telecom has had to try to find its own solution to the problem. This problem has persisted from the 1990s and remains a problem for utilities - as I said I heard a presentation yesterday that wasn't that different from presentations on the same topic I and others gave a quarter of a century ago.

Over the years the poor CAD/GIS interoperability has cost the utility and telecom sectors considerable amounts of money. Large telecoms have spent hundreds of millions of dollars trying to cleanup their GIS data and streamline their CAD+GIS workflows. A rough back-of-the-envelope calculation suggests this problem has cost directly and indirectly trillions of dollars over the past 20 years. In addition unreliable and out-of-date network infrastructure data that results from this problem has safety implications.  

The juncture between distinct sectors each with its own technologies and business models, AEC (Autodesk, Bentley, and others) and geospatial (ESRI, Hexagon, and others), has analogies with the clash of tectonic plates and the associated incessant seismic events. In the mid-1990s pressure from customers motivated Autodesk and ESRI, 800 lb gorillas in their respective areas of CAD and GIS, to attempt to collaborate to address the CAD+GIS problem. The result of the agreement between Jack Dangermond and Carol Bartz at the time resulted in an unsuccessful product called ArcCAD, which satisfied neither CAD nor GIS users.

Averting a tectonic clash repeat: BIM+geospatial interoperability

The prospect that, by analogy with CAD+GIS problem, we could still be individually finding solutions to BIM/geospatial integration 20 years from now is discouraging. While there are parallels between CAD/GIS and BIM/geospatial, there are grounds for optimism that this time around we may find ways the address the problem in a general way. Firstly, in the mid 1990s there were virtually no geospatial or 3D AEC data standards. The Open Geospatial Consortium (OGC) and builsingSmart were both only founded in 1994. It required quite a while for the OGC geospatial and buildingSmart's IFC standards to broadly penetrate industry and government.  Nowadays, there are many widely adopted geospatial standards; Simple Features for SQL, WMS, WFS, GML, KML, InfraGML, CityGML to name just a few from the OGC. buildingSmart's IFC standard is supported by all major BIM design tools including the market leader Revit.

Perhaps most significantly there has been significant progress in developing common conceptual models for geospatial and AEC views of city infrastructure. The major breakthrough in bringing the architectural and geospatial views onto a common footing is the OGC LandInfra Conceptual Model developed by the OGC in cooperation with buildingSMART International and approved as an OGC standard in August, 2016. The LandInfra conceptual model was developed by Bentley Systems, Leica Geosystems, Trimble, Australian Government Department of Communications, Autodesk, Vianova Systems AS, and buildingSMART International and provides a unifying basis for land and civil engineering standards including the OGC's InfraGML and buildingSmart International's IFC for infrastructure standards.  InfraGML is the OGC's application schema supporting land development and civil engineering infrastructure facilities. InfraGML supports a subset of the existing LandXML standard. buildingSmart International's IFC-Alignment project uses this common conceptual model of alignments for roads, railways, tunnels and bridges. The objectives of the IFC-Alignment project is to enable the exchange of alignment information through the full infrastructure lifecycle from planning through design and construction to asset management.

Secondly, in the 1990s and the early 2000s there were few open source geospatial projects. The Open Source Geospatial Foundation (OSGEO) was only founded in 2006. Since then there has been rapid development of open source geospatial projects. There is enough open source geospatial code now that at the GEO|Design+BIM conference in Amsterdam, Sanghee Shin described a web-based geo-platform integrating massive, complex BIM models using open source geospatial libraries and tools including PostGIS, GeoServer, and Cesium and NASA WorldWind virtual globes. The importance of this project is that it shows that it is possible using the available open source geospatial APIs and libraries - together with some genuine innovative development - to create an open, non-proprietary, 3D geospatial platform for integrating geospatial and BIM. Given the critical importance of addressing the cultural and technical divide between the AEC and geospatial worlds, clearly many believe that a viable open source alternative will be essential for developing the innovative solutions to the challenge of interfacing the two worlds. 

Finally, major players in the AEC and geospatial industries, Autodesk and ESRI, have again agreed to collaborate. This time around they are probably more aware of the technical issues hindering BIM+geospatial integration. Both have adopted open standards when it made business sense - often under pressure from government clients - and both have also adopted open source technology where it made business sense. Together the combination of major players supporting the effort, standards organization like the OGC and buildingSmart already working to address the problem, and a broad range of open source code and a vibrant developer community may be enough to address the technical problems. If building and infrastructure owners and facilities managers including government as well as regulators become aware of the risk of not solving the problem, a solution may be found so that we will not be having the same BIM+geospatial integration discussion a quarter of a century from now.

Key registry created in the Netherlands to help model the subsurface

Increasing urbanization throughout the world challenges the sustainable development and resilience of cities. Despite this, the importance of the ground beneath cities is often overlooked.  A lot of information about the underground is captured during excavation and drilling. But this data is typically stored in project or private databases and is not shared. Capturing this data in a shared, open database is a first step toward developing a model of the subsurface that can be reliably used for urban planning, design, construction and maintenance.  The Netherlands has recently embarked on a national program supported by legislation and standards to do just that.

At the preconference workshop “Utilizing subsurface data for urban planning, design, construction and maintenance” organized by Geodan and TNO at the GEO|Design+BIM conference in Amsterdam, Michiel van der Meulen of the COST Sub-Urban program presented an overview of a new program supported by legislation to develop and maintain an open database of information about the subsurface in the Netherlands.

Current data about the subsurface in the Netherlands comes from borehole logs, cone penetration tests, and groundwater measuring points. Most of the currently available information about the subsurface in the Netherlands comes from boreholes drilled typically to over 100 meters using light drilling equipment as well as some boreholes to much greater depths using heavy drilling equipment. This information is available for free through the DINOloket of the TNO, Geological Survey of the Netherlands.

Based on interpolating from the existing borehole data, there are several models of the subsurface in the Netherlands developed by the Geological Survey of the Nethelands. For example, there is a model of the subsurface down to 50 meters. It has a resolution of 100 by 100 by half a meter. It was intended to assist in identifying aquifers and gas fields. This is too course for city planning purposes. What an urban planner needs is much higher resolution and that will require more data.

In 2015 a new law was passed by the States General or parliament in the Netherlands creating a Basisregistratie Ondergrond (BRO) or Key Registry for the Subsurface. The law mandates that if you excavate or drill you have to share your data (relating to soils, geotechnics, and groundwater) with the registry. In addition if when using the data in the registry you find something is incorrect you have to report it. The registry is required to be open and accessible to all citizens of the Netherlands. This new registry will require new standards for recording data and there is a major effort underway in the Netherlands to develop these standards. The implementation of the new subsurface registry will begin in 2018.

The Key Registry for the Subsurface or BRO is intended to provide transparent and accessible information about the subsurface. It is subject to the government's open data policy. In addition to providing data for urban planning, design, construction and maintenance, it is intended to include an inventory of opportunities and risks relating to subsurface, provide data for sustainable water management and to support the governments goal of moving toward a carbon neutral economy at the national regional and local levels. It is also intended to reduce the costs associated with infrastructure management for soil remediation.

The overall goal is to initiate the process of organizing an information chain that will harness geological survey and city efforts in building databases and creating the necessary standards for information production about the subsurface. But to better serve cities with the subsurface information they need, Michiel van der Meulen said that we need to rethink geological mapping, rethink urban information management, and create new alliances among organizations involved in urban development. The new BRO key registry is an important first step in the process of developing models of the subsurface that can be joined seamlessly with above surface information to create the comprehensive digital twins that will be required by the smart cities of the future.

Geocoordinated BIM modeling benefits build and operate projects

Integrated BIM and geospatial modeling provide greater value to projects that involve not just design and construction but also operations and maintenance for an extended period after construction. At the Year in Infrastructure 2017 (YII2017) in Singapore the winner of the Be Inspired Award for BIM Advancements in Utilities was a Malaysian construction company that chose geocoordinated 3D digital design for a transmission and substation project. A contributing factor in the decision to use geocordinated digital modeling was the requirement of the project to operate and maintain the substation for 25 years before handoff to the utility.

There are more and more projects that require maintenance or operations and maintenance for an extended period after construction. I blogged previously about projects in the Netherlands initiated by Rijkswaterstaat called design-build-finance-maintain (DBFM) projects. The Rijkswaterstaat (RWS) board is convinced of the benefits of BIM and BIM/geospatial integration and rolled out BIM/geospatila for four DBFM projects with the intention to require BIM on all DBFM-contracts in the future. PESTECH International Berhad, the winner of the Be Inspired BIM Advancements in Utilities Distribution & Transmission award for its project Automation and Integration of Substation Design Project in Kratie and Kampong Cham, Cambodia, used geocoordinated digital design for the development of a new substation.  The decision to use geocordinated design technology for this project was partially motivated by the requirement that the company would not only be responsible for designing and building the substation but also for operating it for a period of 25 years before transferring it to the utility.

Cambodia is a rapidly developing tourism spot and its major cities are also growing rapidly. Electricity pays a key role in this development. A major project initiated in 2015 was a 125km 230 kV transmission line from Kratie to Kampong Cham which required the construction of a new substation. This is in support of the 700MW Sesan Hydro Power Plant which is under Construction in the upper Mekong area. The first stage of the power plant is expected to be commissioned in December 2017 and the power will be transmitted to Phnom Penh, the Capital of Cambodia, through the Kampong Cham Kratie Transmission Line.

PESTECH was awarded its first build, operate and transmit (BOT) project in 2015 by Electrique Du Cambodge (EDC). This project is comprised of two stages.  Stage 1 is to design, procure, construct and commission the transmission line and substation. Stage 2 is  to operate and maintain the line and substattion for 25 years after the first stage which is scheduled for completion in November 2017. This is an important milestone for PESTECH because this is the first project where the company not only builds the facility but is also responsible for operating the power transmission system for a concession period of 25 years. During this period, the company will be accountable for the smooth operation and maintenance of the the power transmission system consistent with prudent utility practices.

The substation design tool integrates both 3D substation design, with 2D electrical protection and control schematics and panel design.  Having everything unified in a single software application gave the entire engineering team a seamless view of the entire project starting with the substation layout, then allowing zooming into the control room and navigating individual panels.  All of the software is geocoordinated (geospatially-enabled) which allows location to be used to index and organize project files, models, and documents.

During design PESTECH realized significant benefits from digitalizing the design process.  These included requiring less than seven working days for schematic drawings each of which normally required 14-21 working days, automatically generating cable schedules which usually required three days to check and document each cable in the project, and component wastage for cables and electrical components reduced by 10-20%.  Substation design which used to require two weeks of conventional CAD work required only three days with the digital tools.  2D and 3D project drawings could be generated as smart PDFs which reduced paper requirements and made it much easier fro drawings to be checked by the the supervising engineer and by the customer.  Overall PESTECH estimated that up to 70% of design time was saved by utilizing geocoordinated 3D digital modeling.

This is still early days since the transmission line and substation are not scheduled to enter operation until December, but significant benefits of the geocordinated 3d modeling approach are expected during the 25 year operate and maintain phase of the project where the 3D models and other information collected during the design and build phase of the project will be reused to help maintain and operate the transmission line and substations.

The presentation by PESTECH International Berhad at YII2017 is available here.

BIM + geospatial essential for improving UK construction productivity

At GeoBusiness 2017 in London, Simon Rawlinson of Arcadis, argued passionately for improving the efficency of the construction industry, which is 8% of the UK's GDP.  Digitalization, in which BIM + geospatial play a key role, is essential to delivering on making construction attractive for private investment.  In the UK construction productivity has not improved in 25 years and right now the construction industry is so unproductive that it can't attract top labour talent, wouldn't attract an Uber or Google and is a drag on the rest of the economy.

Clients/owners have a big role in the transformation of construction.  One of the practices that is responsible for the low level of motivation for construction productivity improvement is procurement.  Lowest bid based on CAPEX does not encourage innovation.  But there are signs that this procurement policy is being replaced in some government procurements by lowest OPEX or TOTEX.  For example, the competition to provide rolling stock for the Crossrail line was based on lowest OPEX and resulted in an important innovation, smart, sensor-equipped trains.  One of the goals of the Construction Leadership Council (CLC), one of several Leadership Councils in the UK, is to lower construction costs by 33% and to deliver projects 50% faster - providing clear benefits to owners.

Another problem is that the construction industry doesn't collaborate very well.  Collaboration needs to be encouraged among folks who have traditionally competed or not collaborated.  There are signs that this is changing too.  Large projects like Crossrail have driven more collaboration, in an industry that historically discouraged collaboration and created employment for the legal profession.  To increase collaboration the construction industry needs to develop common ways of working with shared data by adopting common standards, which will work to increasing innovation by enabling competition based on a common platform.  Much as a BIM model is a digital twin of a building or linear infrastructure, a 3D map of underground and above ground infrastructure is a digital twin of a city or town.  To make this accessible to all requires shared standards for spatial data - BIM and geospatial.

The entire UK economy is moving towards becoming data-driven and construction is lagging behind.  Simon's recommendation is that the new government needs to keep to the existing program and deliver on the goals of Digital Built Britain and Construction 2025 including better management of data and information, digital fabrication instead of on-site development, procurement based on TOTEX, and using regulation, through ofgem and ofwat, for example, to drive digitalization of the construction industry. 

 

Miniaturized imaging scanner captures CES Innovation Award

The Leica BLK360 has won a CES 2017 Innovation Award.  The BLK360 is a miniaturized 3D imaging laser scanner that weighs about a kilogram. It captures full-color panoramic images overlaid on a millimeter accuracy point cloud.  It shoots 360-degree high dynamic range (HDR) spherical imagery and combines it with a millimeter accuracy 3D laser point-cloud.  It is designed to simplify the reality capture process - the BLK360 has only one button. A complete 360° laser scan with panoramic image capture and transfer to the iPad Pro requires 3 minutes. BLK360 was created in tandem with a new version of the Autodesk ReCap 360 software that runs on the Apple iPad Pro.  It is intended to enable users to easily create, share and manipulate accurate 3-D models.

It collects 360,000 points per second and has a range of 60 meters with 4 mm accuracy.  In addition to a LiDAR sensor, the BLK360 includes infrared sensors for thermal imaging and 360° cameras.  It is completely wireless and streams image and point cloud data to an iPad.  With an anticipated retail price of the scanner and software is $15,990/€15,000, this imaging scanner lowers the entry barrier to precision laser scanning.

Completely automated classification of 3D scans by next year ?

Today's 3D scanners are able to generate 3D models in which humans can easily recognize objects such as vegetation, ground, buildings, power transformers, utility poles and cables, and windows and doors.  Automating this process of classifying point clouds or meshes, also known as feature extraction, will enable automation of many currently time consuming workflows in many industries.  In a panel discusion at the SPAR3D 2017 conference this year Greg Bentley, CEO of Bentley Systems, alluded to a Bentley-Microsoft project to apply machine learning to classifying reality meshes and hinted that we might see fully classified reality meshes demonstrated at next year's joint SPAR3D + AEC ST conference in Anaheim.

One example where automating feature extraction would provide big benefits is automating vegetation management for transmission lines.  Periodic transmission line inspection is mandated for North American transmission lines by NERC.  It is currently carried out by helicopter-born LiDAR which is expensive and for that reason not done more often than is required by NERC.  Full automation, which is possible with beyond-visual-line-of-site (BVLOS) autonomous UAVs and automated feature extraction of lines, pylons, vegetation and ground, would dramatically reduce the cost of inspection and enable more frequent flyovers.  The major benefits would be lower costs and a reduction in the number and length of outages resulting from vegetation transmission line interactions.

The latest 3D scanners, which are capable of creating high precision photorealistic models of just about anything, from digital terrain models and cities to detailed models of cathedrals, are getting much more affordable and accessible.  The current lowest price point is about $400 to $450 for adding 3D scanning capability to a tablet.  In the future 3D scanning and imaging may simply be built into smart phones.  Automating feature extraction from the exponentially increasing volume of 3D data, whether point clouds or meshes, is going to grow in importance.

But automating feature recognition and extraction from a point cloud or mesh remains a challenge.  Researchers have attempted to use machines to recognize features in imagery ever since computers were able to manipulate and analyze raster data.  There are cases where imagery contains a restricted set of types of objects in a known environment which makes feature recognition simpler.  For example, identifying icebergs in satellite or overflight imagery of the North Atlantic.  As another example, in a refinery or a chemical plant most of the objects are pipes, structural steel, and ducts.  For this type or environment with well-defined geometrical objects, software such as Trimble RealWorks (TRW) can identify walls, floors and ceilings inside buildings and ground, buildings, vegetation, and curbs and gutters outside.  At SPAR3D it was announced that the latest version of TRW 10.3 can even resolve power lines, which is critical for automating vegetation management for transmission lines.

I have blogged about Indoor Reality who have developed technology that can track accurately the location and orientation (six degrees of freedom) of a backpack containing LIDAR and other sensors as the operator walks through a building going into rooms, halls, up and down stairs and into other human accessible spaces.  Software tools are provided to generate intelligent triangulated mesh surfaces.  The package includes analytical software tools for automatically generating floor plans, distinguishing rooms, identifying staircases, and identifying doors and windows, in fact, everything needed for a Revit model of the interior of the building.

But for general imagery automating feature extraction typically follows the Pareto principle - extracting 80% of the features is easy, but the remaining 20% is difficult and requires most of the effort.  Currently companies such as Clearedge offer specialized software, Edgewise, for classification of 3D imagery.  Trimble has licensed Edgewise from Clearedge for construction applications and it can be used to extract pipes, conduits, structural steel, ducts, structural concrete, walls, windows and doors from 3D scans.  But the current algorithms are not able to classify everything and the process remains semi-automated - Clearedge claims that in general Edgewise can speed up the process of feature extraction by 70 %.  I am looking forward with extreme interest to seeing fully classified reality meshes demonstrated, perhaps as early as next year's joint SPAR3D + AEC ST conference in Anaheim.

Are point clouds going away ?

At the SPAR3D 2017 conference in Houston, one of the interesting questions posed to a panel comprised of Greg Bentley (CEO of Bentley), Burkhard Boeckem (CTO of Hexagon Geosystems), and Shabtay Negry (Senior VP at Mantis Vision) is whether point clouds, whether from digital photography or LiDAR, will effectively disappear, being replaced by meshes for most reality modeling applications.  Meshes are mathematical constructs, typically 3D triangular networks, that are smaller and much easier to manipulate than point clouds, which are typically huge and a challenge to edit.
 
I blogged previously about a digital model comprised of meshes of downtown Philadelphia that was used to orchestrate and secure the Papal visit.  All the data was collected as photographs which were then used to create a single reality mesh using Bentley ContextCapture.  At SPAR3D there are presentations on two other projects which used a similar approach to create models of the city of Helsinki and the Cologne Cathedral.

Another fascinating example is the USS Arizona digital project which combined underwater lidar, sonar, aerial imaging, and existing photography and surveys to produce a survey-grade 3D model of the USS Arizona in the form of a mesh using Autodesk Remake.  Surveys were conducted in 2014 and 2016.  Just recently the two digital mesh models of the ship were compared to create a difference mesh to show areas where there has been change in the two years since 2014.

At SPAR3D there was a consensus among the panelists that meshes are replacing point clouds for most applications. Point clouds are just too big and have too little intelligence. They will remain as an intermediate data type because most scanners generate point clouds.  Replacing point clouds for many applications meshes will grow in importance in the future.  But realizing their full potential will require interactive, editable meshes that allow small bits to be changed or replaced without having to regenerate the entire mesh (which is often the case with triangulated surfaces).  Easy to use analytic tools like those used to create the difference map of the Arizona will also be required.  The panelists thought that with the appropriate edit and analytic tools people will be able to manipulate surfaces easily and may not  even be aware of what the form of the underlying data structures is.  Smaller files will also make cloud processing easier because in the future huge point cloud files won't have to be uploaded to the cloud.

Mixed reality in the construction industry is becoming a reality

At the SPAR3D 2017 conference in Houston, I had the distinct feeling that we are on the cusp of an important inflection point where technology has evolved to the point that it is going to transform the world's construction sector.  Handheld scanners and mixed reality are two of the technologies that are set to revolutionize construction.  According to Gartner mixed reality is poised to attain what Gartner calls the plateau of productivity where a new technology is applied to real-world problems on a global scale.

In many countries with advanced economies the construction sector, which contributes about $ 10 trillion annually to the world's GDP, has not experienced improvement in productivity for 50 years.  During this same period productivity in the non-farm general industrial sector has more than doubled.  That means that the value produced by an hour of a construction worker's time is the same now as it was 50 years ago, whereas an automobile worker produces more than twice as much value as 50 years ago.  If infrastructure is going to attract the private investment from pension funds, insurance companies, and sovereign wealth funds that is required to maintain and build out the infrastructure we need over the next couple of decades, construction productivity has to improve.  The goal of improving productivity will drive investment in technology.  According to McKinsey the construction industry is poised for rapid digitization. Examples of the technology that is set to digitize and transform the construction industry were demonstrated at SPAR3D this year.

At this year's SPAR3D three companies in the construction sector, Gensler (a collaborative design firm), McCarthy (a commercial construction firm), and Martin Brothers Construction (a heavy civil construction firm), demonstrated how they were using mixed reality on real-world projects.  The tools they used include Enscape, Revizto, Revit, Sketchup Pro, Unity, 3dsMax, Umbra, Hololens, Sketchup Viewer on Hololens, Oculus and HTC Vive.  The application that wasn't shown this year, but I hope will be next year at SPAR3D, is Fuzor.

Cody Nowak of Martin Brothers demonstrated building a bathroom pod with Hololens.  The bathroom pod was designed using a standard design application sush as Revit or Sketchup, then projected onto the reality of a shop floor were it was constructed using the full-scale virtual reality projection of the design into the shop.

Gensler described collaborative design where two or more designers and stake holders can share a mixed reality space where they work collaboratively on a design.

McCarthy demonstrated how easy it was to work in a virtual reality space with a headset and handheld controllers.  They asked a member of the audience with no mixed reality experience to don the headset and controllers.  Within a few minutes she was able to move around in the virtual reality - we could see what she saw on a separate screen.  Using the handheld controllers she was also able to move things around in the virtual space.  She moved furniture and furnishings on the wall.  She even threw a stool across the virtual room.

Many of these mixed reality visualizations can be used on handhelds.  Workers in the field or during operations and maintenance can use these applications to inspect and query facilities to access inspection and maintenance reports for equipment they point at in a mixed reality environment.

The next step, which was not demonstrated at SPAR3D this year but I expect will be next year, is bidirectional communication link between the mixed reality environment and the authoring design tool, whether Revit or Sketchup.  This will make it possible for changes made in the mixed reality environment to be visible in Revit or Sketchup where they can be incorporated in the design.  The reverse of this is where design changes in Revit or Sketchup are visible in real-time in the mixed reality environment.

The key elements of mixed reality as it applies to the construction industry are

• bidirectional link between the mixed reality environment and the design tool enabling users to design in their authoring software and view the changes to their design in real time as well as create design changes directly in the mixed reality environment and send those changes back into their authoring software.
• mobile applications of mixed reality for people in the field or in an operating environment
• real-time collaboration in a mixed reality environment independently or simultaneously from anywhere on the globe from a computer or mobile device

We want to be able to don our VR gear and visualize the model we are working on. If there are design changes, we want to be able to make and update them in real time and then jump right back into the mixed reality environment.  We also want guests to be able to view the our design changes in the mixed reality environment as we make them.  Stakeholders need to be able to explore, review and modify projects independently or simultaneously from anywhere on the globe from their computer or mobile device.  We need real-time collaboration to actively review a design with stakeholders, or let collaborators review and make changes to the model in real-time.  This is not pie-in-the-sky dreams, people are doing these things already with the software tools I mentioned above.  I don't think the question is if, it is how rapidly these tools will proliferate in the construction industry.  BIM and digital scanning of different types have already proliferated over the globe and I expect with this digital foundation, these newer tools will spread even faster.

OGC issues RFI for underground infrastructure maps and models

The Open Geospatial Consortium (OGC) has announced the initiation of a three-phase project to develop interoperability standards for underground infrastructure. The underground infrastructure data interoperability project will take two and a half years to complete and will involve the collaboration of many cities, utilities, and engineering and technology companies.

In the U.S. it is estimated that an underground utility is hit about every minute.  Underground utility conflicts and relocations are the number one cause for project delays during road construction.  Assuming the average cost of underground strikes is roughly $1000 per strike, the estimated total cost to the U.S. economy is $1.5 trillion annually.  Currently, the exchange of underground utility information between infrastructure organizations within the same jurisdiction or in adjacent jurisdictions has been greatly hampered by incompatible and incomplete data. OGC anticipates that this project will make a significant contribution towards facilitating improved information management and secure sharing and collaboration, which should make infrastructure planning, operations & maintenance, and emergency response less costly and time consuming, and more effective.

The Open Geospatial Consortium (OGC) has issued a Request for Information (RFI) to inform a Concept Development Study (CDS) that will assess the current state and future direction of information standards for modelling, mapping, and managing underground infrastructure.

The CDS will define the scope of a multi-phase underground infrastructure interoperability project. The purpose of the study is to develop an in-depth understanding of all the components necessary to enable infrastructure data interoperability and standards in an underground environment. The CDS is initially focused on the urban landscape. This RFI is a first step in the CDS process. Any organization with an interest in underground infrastructure is invited to respond to the RFI before 15 March 2017.

This initiative is supported by the Fund for the City of New York, the Singapore Land Authority, the Ordnance Survey and the OGC Innovation Program.

Utility industry vendors urged to adopt data model standard

Software comes and goes, but a utility's data model persists. A shared electric power data model enables electric power utilities to move away from incompatible point solutions toward tightly integrated solutions which are essential for real-time monitoring, situational assessment and decision making.  Based on today's smart devices and sensors and utility-wide communications network, decision making in a real-time, big data world requires tight integration between applications.  To realize the full potential of the smart grid, utility industry vendors need to move rapidly to adopt data model standards, that's the recommendation of Geoff Cameron of AGSI. which has developed a platform based on a utility data model standard that provides real-time access to critical infrastructure, customer and operational information. 

 

Traditional electric utilities are typically departmentalized and rely on manual, paper-based processes. Sharing knowledge is relatively slow, cumbersome, and reactive in nature and characterized by redundant data, many incompatible point solutions and non-real-time.  Facilities are inspected periodically, data is accumulated and analyzed, a report is written and sometime in the future do something is done.  Today's intelligent electronic devices, bidirectional communications networks, and automation provide the basis for dramatically improving a utility's SAIDI and SAIFI outage statistics.  It also provides a foundation for transactive energy.  What is required to realize the full potential of the smart grid is a platform that enables real-time integrated applications.

 

At Distributech 2017 Dan Guatto, COO and VP of Engineering and Operations, described how Burlington Hydro (BHI), a distribution utility with 65,500 customers, has evolved from a point solution environment to an integrated, secure, and real-time utility.  As is typical of many distribution utilities, BHI was facing increased technology sophistication, the need integrated business workflows (operations, engineering, customer engagement, financial) to improve efficiency.  BHI had to address siloed legacy systems and business processes.  Many industry solution offerings fixed individual problems but were expensive and did not take into account integration and long term data management.  Many “enterprise” offerings in the marketplace were proprietary black box solutions with little flexibility that made BHI feel that it was surrendering control of its data and processes.  One of the major problems BHI identified was the lack of O.T. / I.T. convergence for true enterprise efficiency.   Solutions required quite expensive capital outlay and deployment.  Projects became too big and and bogged down and were unable to address fast paced industry change.  In Ontario some of the larger utilities made significant technology investments, but at the end of the day these projects were extremely expensive, disjointed and largely underutilized (or even abandoned). BHI was also concerned about the infancy of smart grid technology and rapid future changes and didn't want to be tied to an inflexible system as the speed of industry changes accelerated.  BHI was convinced that a sound system architecture had to be based on electric industry standards and was aware that AGSI had been working with EPRI on a real-time platform based on Common Information Model (CIM) and Open Geospatial Consortium (OGC) standards.

 

Over the past decade open electric power data model standards have been developed for transmission, distribution, smart substations and other electric power functions.  Worldwide the Common Information Model (CIM) has become the standard for transmission.  CIM is also widely used outside of North America for distribution.  In North America the Multispeak standard is the most widely used distribution data model standard, although CIM is used by larger utilities.  These data models are mature and cover virtually all aspects of electric power utility operations.

CIM was originally developed for standardizing electric utility information exchange.  It was designed by electrical engineers, adopted by the IEC and supported by EPRI and multiple electric utility partners, vendors and organizations.  The IEC, EPRI and partners continue to extend the model to cover asset health, station design, work, smart grid integration, IoT Integration, and network operating protocols.  CIM is able to support all aspects of electrical operations (OMS/DMS), electric analysis / smart grid, distributed energy (DER), work orders, crew management, and assets.  AGSI has implemented the CIM Core, Topology, Wires, & Assets object models in a relational database (Oracle Spatial).  Its implementation represents a real-time network model of the CIM electric system data model and provides a centralized view and interaction with the network in real-time.

 

Today this technology connects and integrates engineering, SCADA, AMI, GIS, load analysis, other smart grid deployments such as EV charging, customer, and asset databases into a single accessible platform and enabled BHI to evolve from a point solution environment to an integrated, secure, and real-time utility.  Real-time data unification provides a basis for transparent workflows and a centralized reliable source of truth enables advanced analytics for optimized investment planning.  An open architecture based on industry standards provides the flexibility to adapt to rapid changes in technology as the smart grid evolves. Real-time information sharing enables faster decision making and increased customer satisfaction via real-time situational awareness about outages and planned work.  Don Guatto believes that it provides the foundation for transactive energy which is looming on every utility's horizon.