Network data is everywhere. People share information and create additional records, datasets, and files all the time. But do you know how to capture and use this data in your business efficiently? Are you sure which tools and technologies you should use for these processes? The FME Platform is a great solution to collect and transform the network data you have. In a no-code, high-speed way, FME obtains data and information from local files, databases, data warehouses, cloud or web services, and IoT (but not only!). During the presentation, we will share our experiences with collecting and transferring network data from different sources by using FME and also how we use AI/ML tools to extract information from images, scanned paper documents, or voice commands during field surveys.

1. Let's Collect Network Data
Methods and Technologies for Data Capture and Acquisition

2. Presenter
The
Peak
of
Data
Integration
20
23
Tomasz Gulczyński
Head of Smart Data Management Dept.
Globema

3. The
Peak
of
Data
Integration
20
23
Digital transformation is the key to business growth
Digital model of
assets
Digital Twin
GIS
ERP
WFM
CRM
EMS
Systems
CAD
Planning
Design
Construction
Services
Business processes
Outages
Maintenance
About 40-50% of data is still missing
from asset management systems

4. The
Peak
of
Data
Integration
20
23
That’s why
Large amounts of data, its complexity and
dispersion
High costs of documentation digitalization, data
migration and field data capture
Complexity of reporting changes to the network
Business processes based on incomplete
network data and employees’ knowledge are
less effective

5. The
Peak
of
Data
Integration
20
23
Data sources for building a digital twin
Digital model
of assets
Digitization
Data capture & verification
Electronic
sources
Unstructured
data
Actual network
Migration/Conversion

6. The
Peak
of
Data
Integration
20
23 GlobIQ in the proces of data digitization
Digital model
of assets
Electronic
sources
Unstructured
data
Actual network
iDoc
AI/ML based tools for
structuring legacy
documentation
iMDC
Mobile applications for
data capture and
verification
FME
migration from digital,
structured sources
Digitization Data capture & verification
Migration/Conversion
FME Flow
FME Flow

7. The
Peak
of
Data
Integration
20
23
FME

8. The
Peak
of
Data
Integration
20
23
FME in network data migration projects
FME
Data
As-built
Designs
Legacy
CAD drawings
PDF diagrams
Excel sheets
Digital
Twin
manual work

9. The
Peak
of
Data
Integration
20
23
Case 1: Nexera
● FTTH network owner for 1M homes
● Highly automatic on-going process for as-built
documentation adaptation in Cross (telco network
inventory)
○ structured XLS sheets
○ DWG geodetic surveys
○ Data validated at the entry point
● Manual processing
for design markups

10. The
Peak
of
Data
Integration
20
23
Case 2: World’s leading cloud and
high-bandwidth service provider
● Building fibreoptic routes down to fibre level in
Smallworld PNI
○ 1k FO spans in 6 large network clusters
○ 35k files/documents
● Variety of input formats and conventions
● The project was designed as a fully manual data entry
○ 5/6 network clusters automated
○ only 20% manual work

11. The
Peak
of
Data
Integration
20
23
Case 3: LvivTeploEnergo
● Building a Digital twin of a district heating network in
Ukraine to efectively manage assets and run hydraulic
calculation
○ Matching legacy paper documentation to the destination data
model
○ Generating missing objects from incomplete documentation
○ Building network topology

12. The
Peak
of
Data
Integration
20
23
FME key features for network data migration
👍 Robust suport for various data formats incl. spatial
👍 Rich data transformation capabilities incl. spatial
👍 Easy scripting without programming skills

13. The
Peak
of
Data
Integration
20
23
iDoc

14. The
Peak
of
Data
Integration
20
23
iDOC – Digitization of Documents
AI / ML Date
Location
Category
Classification
Schematics,
sketches
Coordinate
tables
Digital
Twin
AI / ML
Protocols
FME
Flow

15. The
Peak
of
Data
Integration
20
23
iDoc
Computer vision
techniques for
document
understanding

16. The
Peak
of
Data
Integration
20
23
Case: E.ON Stoen Operator
● E.ON owned DSO in Warsaw to process easement
documentation
● Enormous efficiency gain:
○ 10x greater productivity of the AI categorization algorithm with
96% accuracy
○ 10x greater productivity of the AI attribute extraction algorithm
with 85% accuracy

17. The
Peak
of
Data
Integration
20
23
iMDC

18. The
Peak
of
Data
Integration
20
23
iMDC – Smart Mobile Apps
→ Voice assistant
→ Voice data entry
→ Computer vision
→ ARCore
→ OCR
→ Barcodes,
QR codes

19. The
Peak
of
Data
Integration
20
23
iMDC
Field data collection
using smart mobile apps
● inventory building
● operational changes
● inspections

20. The
Peak
of
Data
Integration
20
23
GlobIQ – The Benefits
● Increased efficiency of business processes by easy access
to up-to-date info about network resources for the whole company
● Lower cost of initial data capture
● Reduced cost of data maintenance in a network inventory system
Building centralized repository of network resources is foundation
for digital transformation of operator’s business processes

21. The
Peak
of
Data
Integration
20
23
https://www.globema.com/globiq/

22. ThankYou!
tomasz.gulczynski@globema.com