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ArcGIS for Leak Survey – Sample Schema and Attribute Rules This zip file contains a sample geodatabase schema for organizing Leak Survey records and arcade script-based attribute rules to automate the management of the leak survey information. Deployment instructions are included with the zip file. If you have questions or comments, please post them to this geonet community, so everyone can see and share the information. Thank you Tom DeWitte Esri Technical Lead – Natural Gas industry
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03-13-2021
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By Tom DeWitte and Tom Coolidge Maps are one of man’s oldest forms of communication. The oldest known map was created in 25,000 BCE on a mammoth tusk. That would be over 20,000 years before the Sumerians would start writing on clay tablets. This ancient map is thought to have been a hunting map to tell where to hunt and find food. If this map was not easily understood by our ancient ancestors, they would have starved and died. So, what makes a map easy to understand? The answer then is the same answer for today; symbology. Symbology is a language independent way to communicate information on a map. Good symbology can communicate vast amounts of information without a single word or letter. District Heating and District Cooling Maps Like our forebears back in the wholly mammoth days, District Heating and District Cooling organizations rely on maps to communicate. District Heating and District Cooling maps need to communicate vast amounts of information. To accomplish this, they require a rich set of symbols which can describe what pipe system components are installed where. That is not easy, as even the simplest pipe system map will have dozens of unique fittings, devices, pipes, and assemblies. To help the District Heating and District Cooling community address this challenge, Esri has recently released a set of symbols created specifically for this industry. Symbols for District Heating and District Cooling This set of industry symbols contains over 140 icon-based symbols. These include symbols for chillers, steam traps, expansion joints, heat exchangers and pipe anchors to name a few. Created to Match Data Model Asset List These symbols were created to complement the recently released District Heating and Cooling Data Model (DHC2020). This data model was released in December 2020 and is a free download available on Geonet. Each symbol in the symbol set correlates to a unique type of asset defined in the data model. Created for Digital Maps These symbols were created with today’s digital maps in mind. When you look at them you will notice that each symbol has a white background shape behind the icon. This was done to improve the visualization of the icon by providing a high color contrast with the icon’s immediate background. It also provides a larger touch screen surface area, to make it easier to select the asset on a mobile device such as a smart phone or tablet. Where can I get these Symbols The Esri District Heating and Cooling 2021 style file which contains these symbols is available as a free download. You can also access it from the Geonet Industry page for District Heating and Cooling. Our ancestors relied on symbols on those early mammoth tusk maps to communicate and understand where to find food. Similarly today’s District Heating and District Cooling organizations rely on symbols to create maps to help field staff to find where specific components of the pipe network are located. Luckily today’s digital maps are available on your smart phone which fits nicely in your pocket. The same cannot be said for our ancestors and their mammoth tusk based maps. PLEASE NOTE: The postings on this site are our own and don’t necessarily represent Esri’s position, strategies, or opinions.
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03-01-2021
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By Tom DeWitte and Tom Coolidge Rethinking the role of District Heating and Cooling in the future’s more climate-sensitive energy mix is leading many District Heating and Cooling organizations to rethink how they best conduct their business. As part of this rethinking, an effort is underway at many District Heating and District Cooling organizations to adopt new processes or update and improve existing processes. Ultimately, this is to improve the efficiency of the operation and maintenance of the organization. A term that is often used to name this effort is Digital Transformation. At the root of this Digital Transformation is the need to collect, manage, and disseminate information about the pipe network in a more efficient manner than possible with paper or CAD files. This is where Geographical Information Systems (GIS) often enters the conversation. But why? What is it about GIS that makes it central to Digital Transformation? Digital Transformation with GIS Many of the processes a District Heating or District Cooling organization will target for improvement are associated around enabling organization staff to answer the question of “Where.” -Where are the buried valves I need to inspect located? -Where is the pipe buried so I can mark its location to avoid excavation damage? -Where have leaks occurred? -Where are the customers who will be impacted by an outage event? -Where are potential new customers near the existing pipe network? These are a few of the everyday questions that processes have been constructed to help organization staff address. These questions require an understanding of location of the assets as well as their position within the pipe network. Being a technology that provides this capability is a part of the reason why GIS is part of the digital transformation solution. The other part of the reason is its ability to be a singular system to provide asset management, mapping, mobile data collection, and analytical tools. It is this quadruple capability that provides the efficiency District Heating and District Cooling organizations are looking to accomplish with their Digital Transformation initiatives. Asset Management with GIS Most asset management solutions on the market today are simply an inventory of the assets deployed to the field and record keeping of the operation and maintenance activities performed on those assets. Today’s GIS systems offer all those capabilities, and more. The more is the inclusion of the spatial representation of the asset (valves, pipes, pumps, heat exchangers, etc). Current generation GIS systems add more value to asset management by leveraging the spatial representation of the assets to create a digital representation of how these assets work together as part of a pipe network. This topological understanding of the pipe network is what allows current generation GIS systems to model the flow of the thermal energy, flow of the water, and perform isolation traces for outage events. This ability transforms the traditional asset management solution into a tool for understanding how the pipe network operates. Mapping with GIS Mapping of pipe systems has literally been around as long as humans have been building pipe networks. Initially the mapping of the pipe system was a static snapshot preserved on linen, paper, vellum, and eventually CAD. These legacy systems would divide a pipe system into sheets or tiles. Each sheet or tile representing a portion of the pipe system. A modern GIS solution for District Heating and District Cooling provides a seamless interactive digital representation of the pipe network. One that allows office and mobile staff to interactively pan and zoom across the seamless display of the entire pipe network. This information is transmitted live to the organization’s users, ensuring that the information being presented is always the most current. Mobile Data Collection with GIS Digital Transformation for many means replacing paper data capture with digital data capture tools. This is an easy-to-measure efficiency gain as it typically eliminates the office task of transposing the field completed paper forms into a digital repository. Modern GIS systems provide this capability as part of their solution. The best of class GIS systems can leverage mobile devices such as smartphones and digital tablets. These solutions leverage the smart devices native tools such as GPS and camera. This allows the field technician to see on an interactive map where they are located in reference to the buried pipe system, and to capture photos as part of the inspection record. This digitally captured data streams back to the GIS data repository. No office transposing or manipulation is required. Understanding the Pipe Network with GIS Digital Transformation also means enabling the pipe asset data to be natively utilized by engineers and planners for analysis. Modern GIS systems and their understanding of location provide planners and engineers with tools to model: -how the pipe system transports energy, -how the pipe network can impact the adjacent community and environment, -how the adjacent environment and community can impact the pipe network. GIS is Transformational Implementing a modern GIS is transformational to a District Heating or District Cooling organization. It is the four in one solution to enable efficiencies across the entire organization. If you are planning a Digital Transformation at your organization a GIS is the foundation from which to build upon. PLEASE NOTE: The postings on this site are our own and don’t necessarily represent Esri’s position, strategies, or opinions.
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02-26-2021
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DHC2021 Symbols The symbols provided with this style file were created for use with ArcGIS applications. This DHC2021_symbols.stylx file contains symbols create specifically for the District Heating and District Cooling industries. The symbols correlate to the asset types defined in the District Heating and Cooling 2020 Data Model. If you have questions or comments, please post them to this geonet community, so everyone can see and share the information. Thank you Tom DeWitte Esri Technical Lead – District Heating and Cooling Industries
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02-25-2021
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Hi Ainur, Great to hear that you are continuing to make progress in implementing UPDM with the Utility Network and Linear Referencing (APR) configuration. -Yes, the UPDM + UN + APR configuration does support multiple LRS networks. -The combining of the two networks onto the singular PipelineLine based centerline configuration as you have found out is not a simple 1 tool solution. The consolidation of data you are attempting is complicated and will require multiple tools and possibly some python scripting. Tom DeWitte Esri Technical Lead - Natural Gas
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02-12-2021
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By Tom DeWitte and Tom Coolidge Have you ever spent a day in the field with a senior cathodic protection (CP) field technician? It is an eye-opening experience to hear and see firsthand the struggles and difficulty they face maintaining a pipe system’s CP system. If you have not and are involved in any way with managing CP data, we strongly recommend it. Spending time in the field with a CP technician will expose you to numerous test point readings, rectifier inspections, and other maintenance activities. And if you are lucky, you will get to see what happens when a test point reports an unacceptably low reading. When this happens the entire CP circuit is considered to be “down”. This begins a troubleshooting process that can literally take months to resolve. Yes, that is not a typo, it can take over a month for a senior technician to locate and resolve the root cause of a low test point reading. A part of the reason for this long duration is access to information and tools to understand the circuit. A modern GIS utility system can be a key provider of this information and tools. Here are a few examples. What is the extent of the down CP circuit? A common question a CP field technician will ask when trying to understand the circuit they are inspecting is “what is the extent of this circuit”. This is where the Esri Utility and Pipeline Data Model (UPDM) and its pipe-specific configuration can help. UPDM provides a configuration of the properties and capabilities of ArcGIS and its utility network to help address this question. Within UPDM is a configuration for managing CP assets. This includes a subnetwork configuration that when utilized will generate and maintain a graphical representation of each unique CP circuit. This subnetwork layer is a standard Geodatabase featureclass that can be displayed in web and mobile applications. This means field technicians can view this information in the field on their mobile phones, tablets, and laptops. Where are my test points? When a CP field technician receives a test point reading of less than -0.85 Volts, the circuit is considered to be “down”. The next step for the CP field technician is to find and test the other test points on the circuit to see if the deficient reading is an anomaly. CP circuits are not always simply the connected metallic pipe assets running down a street in a straight line. Sometimes they are spidery meandering subsystems whose legs stretch in many directions. This can make it difficult to locate the other test points associated with a specific CP circuit. Finding those other test points is a simple subnetwork controller trace with the ArcGIS utility network tracing tools. With the circuit’s test points now identified, the technician can easily locate and test the other test points. What does reconfiguring the circuit look like? When trying to locate the root cause of a CP circuit’s low reading, the field technician may decide to install an insulator to split the circuit. Here is another example of where the standard tracing tools provided with the ArcGIS utility network can help. Adding an insulator is a simple attribute update with the UPDM configuration for CP. All the editor needs to do is to update the fitting or device “Bonded/Insulated” attribute from “Bonded” to “Insulated”. The embedded attribute rule will automatically update the “Cathodic Protection Traceability” attribute to “Not Traceable”. Cathodic Protection Traceability is configured to be a utility network, network attribute as part of UPDM. This allows the attribute to be used as a constraint value by the standard ArcGIS utility network trace tool. Rerunning the same CP connected trace, shows the new configuration of the cathodic protection. With this new trace result a CP field technician can see the results of what the extent of the CP circuit will be with the newly installed insulator. Analytics for CP These examples of analytics and visualization of analytical processes can provide CP field technicians with the information and tools they need. Having this information and these tools can help CP departments to improve this time-consuming and expensive process. If you are someone who supports or assists with CP management at your organization, get your steel-toed boots out of the back of the closet and spend a day in the field. The understanding and appreciation of what these professionals do and their struggles for information and tools will be impactful. Additional Information If you missed our previous blog articles on Managing Cathodic Protection with UPDM, here are the links to those articles. In early 2020 we wrote a series of blog articles about leveraging the capabilities of ArcGIS to address the data management needs of cathodic protection for pipe systems. Those three blog articles explained how to organize and maintain information about a pipe system’s cathodic protection system. Part 1: Managing Cathodic Protection with UPDM 2019: The Basics Part 2: Managing Cathodic Protection with UPDM 2019: The Components Part 3: Managing Cathodic Protection with UPDM: The System PLEASE NOTE: The postings on this site are our own and don’t necessarily represent Esri’s position, strategies, or opinions.
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01-27-2021
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Hi Diane, The ArcGIS Pipeline Referencing solution has a requirement that all featureclasses which are to participate in the LRS must be within the same feature dataset as the LRS topology & routes (ContinuousNetwork). In UPDM 2019 the P_GasLeak featureclass is stored at the root level of the geodatabase as you noted, which is not compatible with the APR geodatabase requirements. In UPDM 2020 this was corrected and the P_GasLeak featureclass was moved to be within the PipeSystem feature dataset. Recommend you move the P_GasLeak featureclass to be within the PipeSystem feature dataset. Hope this helps Tom DeWitte Esri Technical Lead - Natural Gas Industry
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01-05-2021
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By Tom DeWitte Earlier today Esri posted the first ever industry data model for managing District Heating and District Cooling (DHC) pipe systems. This data model continues Esri’s efforts in providing industry specific template data models. The DHC 2020 data model provides District Heating and District Cooling organizations with an implementation ready configuration for Esri Geodatabase data repositories. This data model template is provided as a free download for all to use. Why Create This Data Model The goal of the DHC 2020 data model is to make it easier, quicker, and more cost effective for organizations responsible for the management of District Heating or District Cooling pipe systems to implement the ArcGIS platform. The DHC 2020 data model accomplishes this by freely providing a data model template that demonstrates a best practice configuration of the Esri geodatabase to address the system of record needs of DHC organizations. How was this Data Model Created Creating a new industry data model requires an immense amount of information. More information than any one person or organization contains. Fortunately, many persons from around the world were willing to share their knowledge and time to help bring this data model to life. This group effort from organizations big and small, public and private, incorporates hundreds of years of industry knowledge into this data model. Best Practice Application of ArcGIS Technology DHC 2020 was configured to take advantage of the latest capabilities provided by the ArcGIS Technology. This includes recent enhancements such as contingent values, attribute rules, and the Utility Network. In this data model you will find contingent value configurations to restrict the valid types of pipe insulation and pipe material based on whether the pipe transits, steam, condensate, heated water, or chilled water. Included in DHC 2020 are many attribute rules to automate attribute population as well as provide data quality checks. This data model includes utility network subnetwork configurations for defining pressure zones, circulation areas, leak detection zones, cathodic protection zones, and energy zones. And let’s not forget the thousands of connectivity, containment and association rules of the utility network. Industry Business Rules Business rules are a great way to share industry knowledge. Sometimes it is simple, such as ensuring that the maximum operating temperature is greater than the standard operating temperature, or that the in-service date occurred after the date of installation. Others are more complicated, such as knowing when to create a containment association between two assets. Thanks to the combined knowledge of many persons across the industry, these business rule examples and many more are included with this data model. Sample Data Included in the download file stored on the District Heating and Cooling industry page of geonet in addition to the data model asset package is a sample dataset. This dataset is fully 3D and provides great examples of the many facilities which participate in a District Heating or District Cooling pipe system. Data Dictionary As I noted in my October update, writing a data dictionary is not fun, but it is very important to explaining the what, the how and the why of the data model. Work on the data dictionary is complete and included in the download file as a PDF document. This data dictionary includes descriptions of each featureclass subtype layer. For each subtype layer a full description of each attribute that is appropriate is provided. Additionally, the data dictionary includes a listing and description of each attribute rule that is to be included with the data model. How to Download This data model, its sample data, and data dictionary are available as a single download from the District Heating and Cooling industry page on geonet. You can download it directly with this link: https://community.esri.com/t5/district-heating-and-cooling/district-heating-and-cooling-data-model-2020-release/ta-p/1008751 As noted previously, this data model is the cumulation of the input of many persons. This data model can only evolve with your feedback. If you have suggestions for improving this data model or see something that requires correction to help the next person, please reply to this blog and post your feedback, or you can email me directly at: tdewitte@esri.com.
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12-10-2020
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DHC 2020 Edition This is the official release of the 2020 Edition of the District Heating and Cooling Data Model (DHC2020). It is designed to support data management for the District Heating, Steam and District Cooling industries. The downloadable files are: -DHC2020_AssetPackage.zip -DHC2020_DataDictionary.pdf The DHC2020_AssetPackage.gdb file geodatabase is an ArcGIS Pro version 2.6 asset package. The asset package includes the data model and the sample data. The data dictionary provides full documentation of the data model. If you have questions, please post them to this geonet community, so everyone can see and share the information. Thank you Tom DeWitte Esri Technical Lead – District Heating and Cooling Industries
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12-10-2020
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Hi Ainur, Your understanding of the reasoning for the splitting the pipe segments at each isolating device, pressure changing device, and system delineation device is correct. To support the correct and accurate creation of the subnetworks (system, pressure, isolation, cathodic protection) the pipe must start/end at the devices which delineate these subnetworks. Additionally, for accurate trace results for gas industry critical traces such as isolation traces, the pipe segments need to start/end at the emergency valves. Having the trace stop at the isolation valves insures an accurate listing of the meters (and their customers) impacted by the closing of those valves. Tom DeWitte Technical Lead - Natural Gas, District Heating and Cooling Industries Esri, Inc
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11-09-2020
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Attached is a short video showing how the new ArcGIS Field Maps can be for Digital As-Builting. This demo leverages the arcade scripts to provide construction crews the ability to validate assets prior to installation, and to document installed assets. This configuration of ArcGIS Field Maps works in both a connected network and a disconnect network.
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10-30-2020
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Sorry for the type-o in my message. Anastasiia as always has it correct. The District Heating and Cooling demo is Wednesday October 28th at 1700 central European time. I have updated the message. Thanks Tom DeWitte Esri
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10-27-2020
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Looking for a better solution for managing your steam, heated water or chilled water pipe system? Please join us October 28 th from 11:00am – 11:30am U.S. Central time for a brief 20-minute presentation on using ArcGIS for managing the assets and systems of your District Heating, Steam, and District Cooling pipe systems. See all the details at: https://imgis2020.esri.com/exhibitors/11EAFD0B4900378082654F82FCF35551/See-a-Demonstration This presentation is part of Esri’s Infrastructure Management and GIS conference. The conference is complementary to all Esri customers that are current on maintenance and subscriptions.
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10-26-2020
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Tired of playing GIS gymnastics with multiple data silos of your pipe system data. Please join us on October 29 th from 12:00pm – 1:00pm U.S. Central time for a presentation followed by live Q&A on using ArcGIS for managing a single digital natural gas pipe system from wellhead to meter. A pipe system that leverages both linear referencing and connectivity to manage the gas pipe assets. See all the details at: https://imgis2020.esri.com/live-stream/19752784/Unified-Pipe-Data-Management-Managing-Your-Pipe-System-with-UN-and-APR This presentation is part of Esri’s Infrastructure Management and GIS conference. The conference is complementary to all Esri customers that are current on maintenance and subscriptions.
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10-26-2020
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Wondering how to better manage the Cathodic Protection portion of your pipe system. Please join us October 28 th from 12:00pm – 12:30pm U.S. Central time for a brief 20-minute presentation on using the utility network and attribute rules to simplify data management and enhance capabilities. See all the details at: https://imgis2020.esri.com/exhibitors/11EAFD0B4900378082654F82FCF35551/See-a-Demonstration This presentation is part of Esri’s Infrastructure Management and GIS conference. The conference is complementary to all Esri customers that are current on maintenance and subscriptions.
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10-26-2020
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