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Created a geospatial database by integrating data from Polish Power Grids.
- 32x faster to complete orthophotomap and digital models
- 50x faster to check photo completeness
- 60x faster quantitative data checks.
Visimind needed an efficient way to collect and process large amounts of network data.
Visimind was tasked with a project for PSE (Polish Power Grids) that required collecting data for thousands of kilometres of powerlines and over a hundred power stations. This data would be delivered as a variety of products for PSE, including a geospatial database containing an inventory of roads, buildings, powerlines, electric equipment, and more. These products would allow PSE to see all their data and assets in various levels of detail, empowering them to make the best decisions. But producing them came with some challenges. There was a massive amount of data to deliver – 10TB of spatial and non-spatial data. They also needed to provide specific data delivery structures such as point clouds, digital terrain models, digital surface models, and orthophotomaps.How they made it possible – no code required.
Vismind knew they needed data integration software that could handle multiple formats and speed up processing while still prioritizing data quality. After much research, they determined FME was the only solution that could meet their multitude of requirements. They acquired FME through the official distributor of the FME Platform in Poland, Globema, and FME training allowed them to implement the software across their team. Using FME, they applied full automation to reduce the working time of processes. They could complete the orthophotomap in 25 hours instead of 800, check photo completeness in 5 hours instead of 150, and deliver all requested spatial data products, including the geospatial database.
Visoro Group was one of the companies helping the National Electronic Register of Street Nomenclatures in Romania (RENNS) standardize street names and administrative number allocation and make them widely accessible.
Local public administration units are responsible for updating the street names and entering them into the RENNS system. To keep the registry up-to-date, the data needs to be manually entered immediately after the street name approval or change. Considering the scale of cities and counties, this can be a laborious and time-consuming process. Also, there have been existing errors in the system where two streets in the same city would have the same name, or the same administrative number would be repeated on the same street. To speed up the process, the Visoro Group reached out to Globema, Safe Software’s silver partner, for a proper solution using FME.
Visoro Group’s technicians gathered data in the field in the ESRI Shapefile format which needed to be set in the RENNS system manually. The process could take from one week to one month, depending on the number of addresses. There was a need for shortening and automating the process.
Stored data in the RENNS database have a specific XML file structure which is one of the most used in similar web apps. By leveraging FME’s capability to convert data to XML according to the given scheme, Visoro Group provided a structural example of an XML file accepted by the RENNS system using only one FME script – to analyze the input data (ESRI Shapefiles collected in the field), map the attributes, and create the final, correct XML files.
As a result, street and address data is uploaded automatically based on the XML file specified for RENNS. Benefits of implementing FME include:
- Speed improvement in data uploading with fewer resources used, lower costs, and the possibility to work in many parallel localities. Previously uploading data for a single locality took about 25 hours of manual work with several employees. With FME, the same amount of data can be uploaded in 2 minutes – almost 800 times faster.
- Fully scalable solution – the script can be used for any city, county or the entire country as it is or with slight changes.
- Minimize human errors such as incorrect values or typos.
Environment and Climate Change Canada (ECCC) supports authoritative data publishing to the Federal Geospatial Platform (FGP) and Canada’s Open Government Portal.
The OCIO Data Catalogue Service team leverages FME to build streamlined workflows to transform data of hundreds of formats, harvest from GeoNetwork and OGC Catalogue Service via APIs, catalogue metadata, perform QA/QC, and provide feedback to program areas on data improvement.
ECCC has been contributing to Open Government with thousands of published datasets that meet open standards. Automated data validation with no coding enables the team to improve work efficiency, eliminate human errors, and support more open data publishing. This ultimately helps improve authoritative data sharing among federal departments and agencies and increase government transparency.
Environment and Climate Change Canada informs Canadians about protecting and conserving natural heritage, and ensuring a clean, safe and sustainable environment for present and future generations.
This project was done in partnership with Consortech.
London Underground needed a data integration process to support flood risk mitigation for their 270 stations.
To determine which assets were at highest risk, the team collected 5,000 datasets including terrain, groundwater, and water main location information. They chose FME to automate the complex integration process, and 1Spatial to deliver FME training and consultancy.
By using FME, they reduced data processing time by 13 weeks per year and delivered a more accurate output, while saving £15,000 in survey work. When future updates are required, workflows can be re-run to deliver accurate and reliable information to users and decision makers in their preferred system, freeing the GIS team from repetitive data integration tasks.
Transport for London is a local government body responsible for operation of transportation networks, including the London Underground rapid transit system, in London, England.
After the establishment of the Nanjing Municipal Bureau of Planning and Natural Resources, it was necessary to carry out coordinate transformations for massive, multi-format data in a short time. This data is used daily in multiple business systems.
An online coordinate conversion system was built using FME Server for coordinate conversion between multiple data formats with multiple coordinate systems. The conversion of massive DGN, image, database and other data were completed in batches.
They used the online coordinate conversion system to transform coordinate systems on 208 GB of vector data, 3.66 TB of raster data, and 207 GB of oracle-spatial data.
FME offered benefits such as multi-format support, batch deployment, and automation
Nanjing Municipal Bureau of Planning and Natural Resources is a department established by Nanjing Municipal Organization Reform and is a working department of Nanjing Municipal People’s Government.
The work done by the Nanjing Municipal Bureau of Planning and Natural Resources was done in partnership with Beijing Antu.
Health authorities and public health workers in Central Norway urgently needed a tool to get a better overview of the current situation and potential spread of the COVID-19 virus. The resulting dashboard from this project indicates the number of current patients at all hospitals in the region, and a prognosis for potential new patients and those requiring intensive care based on different r-values.
This provided a better basis for planning where and how to allocate resources in the Helse Midt-Norge region.
FME is used to continuously integrate updated COVID-19 data between several APIs provided by the health authorities and ArcGIS Online Services running behind the dashboard. The workspaces developed run every day to update the ArcGIS Online Services with updated information.
FME made it quick and easy to develop the integration between the different APIs and the ArcGIS Online Services. The solution is easy to maintain and runs smoothly.
Helse Midt-Norge is responsible for providing specialized health services including physical and mental health to residents of Central Norway.
The work done by Helse Nidt-Norge was done in partnership with Geodata AS.
The City of Delémont needed to set up a workflow where data capture from the field would automatically trigger certain processes when recorded.
With a very limited budget, solutions had to be very simple, based on existing components, and costs had to be minimal. Thus, they turned to FME to optimize their data capture and follow-up maintenance processes.
The solution consisted of a mobile app based on ESRI's product Survey123. This application lets the administrator set up a geo-located survey through an Excel spreadsheet. The field captured features are stored on the ArcGIS Online cloud platform.
FME took care of the workflow itself. Once a new record was saved on ArcGIS Online, it triggered FME to read the associated data and generate a PDF report. This report included all necessary attributes and related images. Next, FME sends an email with the PDF report attached.
FME was very accessible and ran the whole process at very low cost. It took out the need to do things manually. Field observations are now efficiently transmitted in almost real-time to the engineer in charge.
The City of Delémont has about 12,000 inhabitants and is the capital city of the Swiss canton of Jura. The GIS-Dept has two employees, in charge of all utility networks, such as water, wastewater, electricity, and gas.
The work done by the City of Delémont was done in partnership with INSER.
With social distancing playing a key role in the national response to COVID-19, UKMap users became interested in data on pavement widths. Geomni UK needed to quickly develop a method to analyse the database and deliver a pavement width map. It would contain crucial information to those planning and implementing government guidelines.
Using FME Desktop with support from 1Spatial,Geomni UK was able to analyse and calculate the average width of pavements, quickly supplying the data as a value-add to UKMap. Users can now clearly and quickly identify the space available thanks to a colour-coded system: green indicates a width of more than three metres, yellow indicates pavements of between two and three metres, and red indicates an average width of less than two metres.
FME Desktop and consultancy were key ingredients in this project’s success. FME’s rapid prototyping and processing capabilities, in addition to its friendly user interface, were also key benefits.
Now, colour coded data quickly and clearly shows distances on Greater London pavements.
Geomni UK uses remote sensing and machine learning technologies to gather, store, process and deliver highly accurate geographic and spatially referenced information.
The work done by Geomni UK was done in partnership with 1Spatial.
Yarra Valley Water’s challenge was to efficiently manage the constant changes in their information systems database.
Managing precise descriptions of water, sewerage, and recycled water that are accurate enough to be used for commercial and engineering decisions is a major undertaking. The physical network constantly changes as it expands and accommodates new demands from customers. Moreover, much of the work is conducted by sub-contractors, who do not have access to the Yarra Valley Water information system.
Yarra Valley Water worked with 1Spatial to develop a new and advanced Development Industry Translator (DIT), specifically to manage updates to the system. The DIT application uses FME Server to transform complex spatial data and translate data from one format to another. It allows systems designers and external contractors to load their engineering drawing in DGN or DXF format. The data is then automatically validated, ensuring they meet engineering drawing standards and then transferred to the G/Technology system with minimal effort.
The Development Industry Translator is built around the FME Server product developed by Safe Software. The DIT application is used to validate changes to the database that are presented as CAD files and to publish them in G/Technology with minimal human intervention.
FME also helps verify the attributes in files and recognizes any geometry or attribute errors, which are compiled into an HTML report and given back to the user that submitted the review request. When this is finished, FME transforms the CAD drawing file into a geometry that can be understood by the G/Technology geographic information system and uploads the new data to the database.
The entire process, from the creation of the drawings through to posting them as changes to the database, is automated.
Yarra Valley Water is the largest of three retail water organisations owned by the Victorian Government. It provides water, sewerage, and recycled water services to more than 1.7 million people and over 50,000 businesses in the northern and eastern suburbs of Victoria’s largest city, Melbourne. Yarra Valley Water retails this water to households and businesses located as far north as Wallan and as far east as Warburton, an area of about 4000 square kilometres.
The work done by Yarra Valley Water was done in partnership with 1Spatial Australia.
Each year, Eau 17 receives more than 200 km of topographic maps for quality control and integration into various databases. Eau 17 needed to optimize pre-integration quality control operations by automating and improving existing steps.
The objective was to implement a tool compatible with a web map for data control, while automating the process to save time for surveyors. Submitted maps also had to be in a new format: shapefiles.
To meet these needs, Eau 17 turned towards FME and a web mapping solution from Sirap called X’Map.
This is what their old procedure looked like:
- Geometers would carry out field work
- They would send Eau 17 their maps that comply with the EDIGEO standard
- An Eau 17 agent checks the quality of the batches with respect to the requirements of the specific technical specifications
- If valid, the integration batches are activated in the business software and "reconciles'' the newly imported maps with the maps already integrated.
- Additionally, a weekly scheduled task exports the data in SQL and reimports them into the PostgreSQL/PostGIS database for use in a web map
The Verbund AG subsidiaries manage a total of 22 hydropower plants, including 8 Inn power plants and border power plants along the Inn from Tyrol to Passau. The objective was to develop a cross-border map with all necessary geodata using a unified coordinate system in a single web map.
There were two major challenges in Verbund AG’s project that FME helped solve: digitizing cable layout plans and changing from the old Gauß-Krüger coordinate system to the UTM system in Bavaria.
FME allowed for the transformation of geodata into a common reference system, georeferencing of analogue plans, digitization of cable routing, and integration of data into a web map.
The scanned cable plans were georeferenced based on the cadastral data and world files were created. Control cables, cable distributors and ducts, and any protective pipers and terminations were digitized in sections for each power plant. The data model was delivered with the geo-referenced raster data and the recorded data in a geographic database.
FME helped save time by making data available in one centralized system. Information is only collected once, can be found quickly, and easily passed across departments. The workflow is mapped in one system and there is only one web interface needed.
Verbund AG is Austria’s largest electricity provider and covers around 40 percent of electricity demands in Austra and generates 90 percent from hydro power. In addition, Verbund operates the supraregional power grid through its subsidiary APG.
The work done by Verbund AG was done in partnership with Axmann.
Alingsås kommun wanted to connect their existing eService platform (Open ePlatform) with FME to help employees by making geodata available and easy to access for every one of them.
To allow all employees to use different types of geodata in different formats, the GIS unit was commissioned to create several eServices to be used by all employees. The Alingsås municipality mainly uses eServices to simplify processes and gain a better overview of their tasks.
To do this, they used FME. Their eService sends an email to FME Server after a data request has been placed, then FME Server handles the email, reads if an XML file is attached, and translates the content to process the request. Once the process is completed, an email is sent to the customer with a ZIP file of their requested data that the customer can download.
With Automations in FME Server, it’s possible to trigger this workflow automatically (Fig. 1).
Figure 1. The Automation in FME Server
Figure 2. Parameters for the FME workspace
Figure 3. Mail containing the link
In the Alingsås municipality, almost 4,000 employees work to provide good community service every day to residents, visitors, companies and associations in accordance with their values: commitment, openness and respect.
Geodata Order transition: selection of datasets. 4 different points need to be placed in the map
The work done by Alingsås kommun was done in partnership with Sweco.
Figure 1. The Automation in FME Server
Here's how the Automation works. The Automation first tests if a valid XML file is attached in the email. If not, an email will be sent to the customer. If there is a valid attachment, the attachment will trigger the workspace to run (Fig. 2).
If something goes wrong within the Automation, an email will be sent to the customer. Once the workspace has ended without any problem, an email from the GIS unit will be sent to the customer containing the link to download the requested file (Fig. 3).
Figure 2. Parameters for the FME workspace
Figure 3. Mail containing the link
In the Alingsås municipality, almost 4,000 employees work to provide good community service every day to residents, visitors, companies and associations in accordance with their values: commitment, openness and respect.
Geodata Order transition: selection of datasets. 4 different points need to be placed in the map
The work done by Alingsås kommun was done in partnership with Sweco.
McDonald's China needed to integrate data to power business decisions such as new restaurant site selection, growth modeling, and delivery modeling.
They chose FME for data integration, and worked with Safe Software Partner Beijing Antu to implement their projects. Using FME, data is now integrated between multiple business systems, including population, income, customer traffic, base maps, and other data. The workflow is automated, enabling the movement of data in real time, in response to events, and to perform spatial analysis.
By implementing FME for data integration, they greatly improved efficiency and decreased their costs. They now have complete insights into important business data for drafting development strategies, new location assessments, delivery optimization, customer analysis, and reviewing and modeling current business growth.
McDonald's is one of the largest restaurant brands in the world.
