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RPA for engineering projects
Overall goals
18/11/2020 RPA for engineering projects 2
1.Minimize risk of mistakes in processes involving construction data
(BIM) synch and delivery
2.Rid engineers and document controllers of mundane work, freeing up
time to focus on actual construction.
3.Better communication with interested parties (clients, auditing, public
servants, politicians, news outlets, general public)
Challenges
18/11/2020 RPA for engineering projects 3
• Synchronizing a distributed BIM model requires full fledged client
workstations with graphic cards. Global coordinates are constantly
recalculated, and the whole model needs to be rendered by native
applications on the workstation. This makes opening and synching the
model a tedious and lengthy task.
• Poorly developed API support in BIM tools.
• Most integration processes require file handling (export/import) in multiple
formats.
• Cloud instances of BIM repositories feature only rudimentary support
for interoperability across tools and platforms.
• Different vendors compete for delivery of much the same functionality,
and seem to be reluctant to «open up» their repositories / functional
interfaces.
Why RPA?
18/11/2020 RPA for engineering projects 4
• Due to lack of reliable API’s and the need to recalculate the entire BIM
upon synchronization/update, traditional integration between service-
layer endpoints is barely viable.
• RPA provides the engineering departments with a way to add new
endpoints (applications, portals, file shares) to the system topology
and data flow as needed, without employing a team of developers.
• RPA should not compete with other integration technologies, but
seems to be unbeatable as a backbone for other integrations, as
access to running client apps is an absolute requirement.
Our topology
18/11/2020 RPA for engineering projects 5
• Engineering apps: Many engineers are working on (separate sections of)
the BIM simultaneously, in different departments and even organizations.
Applications are typically Novapoint and Revit.
• Property developer access: Clients (developers) demand real-time access
to an updated BIM, to be able to audit and follow up on the project.
• Contractor access: As building/planning commences, the contractors need
up-to-date BIMs, delivered continuously.
• Public access: Public infrastructure projects are of interest to the public,
and need to be generally available to media, politicians, public servants,
and others.
These parties and organizations live in separate IT ecosystems, and need
data delivery through web resources or other platforms that offer interaction
across organizations.
Features of the RPA solution
18/11/2020 RPA for engineering projects 6
Engineering app n
BIM processors, GIS sources,
and other related systems
Engineering app 1 RPA Process
Export/Import (sync)
1a: Open model in Novapoint
1b: Export to Revit (icf)
2a: Import segments in Revit (icf)
2b: Export from Revit
…
RPA Process
Publish
1a: Grab updated files from
process 1 and 2
1b: Publish to access point 1
1c: Publish to access point 2
…
Engineering / construction
Engineering app 2
Contractor(s) Developer(s)
Access point 1
Sharepoint
Access point 2
Fileshare
Access point 3
…
Access point 4
Project web
Access point 5
ESRI portal
(BIM/GIS)
Access point n
…
Features of the RPA solution
18/11/2020 RPA for engineering projects 7
• All BIM manipulation (lock, sync, release) is done by the client applications.
• Possible inconsistencies are detected and handled (reported) by the robot processes.
• Cloud APIs are used for both opening and writing BIM segments where applicable and
desirable (e.g. BIM 360)
• Next steps include:
• There are plans to add GIS data to the model (“publish” process) to capture parallel work on
area planning, regulatory changes, etc., further enriching viewable data in the “public” access
systems/portals.
• Parsing BIM data to automate parts of the document controller processes (model maturity,
versioning, segment info, geo tags, etc.).
• Automating reports that are now assembled manually, largely by document controllers and civil
engineering consultants.
• Expanding the automation down the “contractors” vertical. We know they perform manual
conversion processes where electronic “work orders” are exported from BIM data, and then
imported into assistive computer systems that run in their construction machinery/vehicles.
Features of the RPA solution
18/11/2020 RPA for engineering projects 8
• Scale / Users served:
• 50-80 engineers contributing on the BIM (engineering/construction), on behalf of two
engineering projects (railroad and road construction)
• Load / Schedule:
• Currently all robot runs are scheduled outside of working hours.
• Only one BP license is running as of yet.
• We still have 6-12 hours available execution time per day
• A new (road) construction project will be started in february, and one new process in
the existing (railroad) project will be developed and delivered this fall.
We will need one new license for these new deliveries.
Results
18/11/2020 RPA for engineering projects 9
• Parts of most processes have to be executed in the client applications, and these may
take a lot of time, and we are observing that for some BIMs/processes, the brunt of
execution time for the robot is spent waiting.
In spite of this, we are getting good efficiency numbers. The one licence currently running
is saving 1-1.5 man-hours per running hour.
• Apart from some stability issues with the applications and some glitches caused by
application updates, the automated processes are by and large stable.
• Gains shown in the next slide are measured after 6 months of service, but does not
include two processes that were delivered later.
• The qualitative gains are more important than quantitative wins (money) in this scenario,
as the potential costs of errors are quite staggering.
Metrics (Measured results)
18/11/2020 RPA for engineering projects 10
201837 201840 201842 201844 201846 201848 201850 201852 201902
Cumulative work, in FTEs
80.6 % 80.6 %
81.2 %
82.1 %
82.5 %
82.9 %
83.6 %
79.0 %
79.5 %
80.0 %
80.5 %
81.0 %
81.5 %
82.0 %
82.5 %
83.0 %
83.5 %
84.0 %
201837 201840 201842 201844 201846 201848 201902
Robotexecutionofselectedprocess
instances
Yr/Week
% Robot work of total work
Blue: All BIM work
Green: BIM work done by robot
Rpa for engineering projects

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Rpa for engineering projects

  • 2. Overall goals 18/11/2020 RPA for engineering projects 2 1.Minimize risk of mistakes in processes involving construction data (BIM) synch and delivery 2.Rid engineers and document controllers of mundane work, freeing up time to focus on actual construction. 3.Better communication with interested parties (clients, auditing, public servants, politicians, news outlets, general public)
  • 3. Challenges 18/11/2020 RPA for engineering projects 3 • Synchronizing a distributed BIM model requires full fledged client workstations with graphic cards. Global coordinates are constantly recalculated, and the whole model needs to be rendered by native applications on the workstation. This makes opening and synching the model a tedious and lengthy task. • Poorly developed API support in BIM tools. • Most integration processes require file handling (export/import) in multiple formats. • Cloud instances of BIM repositories feature only rudimentary support for interoperability across tools and platforms. • Different vendors compete for delivery of much the same functionality, and seem to be reluctant to «open up» their repositories / functional interfaces.
  • 4. Why RPA? 18/11/2020 RPA for engineering projects 4 • Due to lack of reliable API’s and the need to recalculate the entire BIM upon synchronization/update, traditional integration between service- layer endpoints is barely viable. • RPA provides the engineering departments with a way to add new endpoints (applications, portals, file shares) to the system topology and data flow as needed, without employing a team of developers. • RPA should not compete with other integration technologies, but seems to be unbeatable as a backbone for other integrations, as access to running client apps is an absolute requirement.
  • 5. Our topology 18/11/2020 RPA for engineering projects 5 • Engineering apps: Many engineers are working on (separate sections of) the BIM simultaneously, in different departments and even organizations. Applications are typically Novapoint and Revit. • Property developer access: Clients (developers) demand real-time access to an updated BIM, to be able to audit and follow up on the project. • Contractor access: As building/planning commences, the contractors need up-to-date BIMs, delivered continuously. • Public access: Public infrastructure projects are of interest to the public, and need to be generally available to media, politicians, public servants, and others. These parties and organizations live in separate IT ecosystems, and need data delivery through web resources or other platforms that offer interaction across organizations.
  • 6. Features of the RPA solution 18/11/2020 RPA for engineering projects 6 Engineering app n BIM processors, GIS sources, and other related systems Engineering app 1 RPA Process Export/Import (sync) 1a: Open model in Novapoint 1b: Export to Revit (icf) 2a: Import segments in Revit (icf) 2b: Export from Revit … RPA Process Publish 1a: Grab updated files from process 1 and 2 1b: Publish to access point 1 1c: Publish to access point 2 … Engineering / construction Engineering app 2 Contractor(s) Developer(s) Access point 1 Sharepoint Access point 2 Fileshare Access point 3 … Access point 4 Project web Access point 5 ESRI portal (BIM/GIS) Access point n …
  • 7. Features of the RPA solution 18/11/2020 RPA for engineering projects 7 • All BIM manipulation (lock, sync, release) is done by the client applications. • Possible inconsistencies are detected and handled (reported) by the robot processes. • Cloud APIs are used for both opening and writing BIM segments where applicable and desirable (e.g. BIM 360) • Next steps include: • There are plans to add GIS data to the model (“publish” process) to capture parallel work on area planning, regulatory changes, etc., further enriching viewable data in the “public” access systems/portals. • Parsing BIM data to automate parts of the document controller processes (model maturity, versioning, segment info, geo tags, etc.). • Automating reports that are now assembled manually, largely by document controllers and civil engineering consultants. • Expanding the automation down the “contractors” vertical. We know they perform manual conversion processes where electronic “work orders” are exported from BIM data, and then imported into assistive computer systems that run in their construction machinery/vehicles.
  • 8. Features of the RPA solution 18/11/2020 RPA for engineering projects 8 • Scale / Users served: • 50-80 engineers contributing on the BIM (engineering/construction), on behalf of two engineering projects (railroad and road construction) • Load / Schedule: • Currently all robot runs are scheduled outside of working hours. • Only one BP license is running as of yet. • We still have 6-12 hours available execution time per day • A new (road) construction project will be started in february, and one new process in the existing (railroad) project will be developed and delivered this fall. We will need one new license for these new deliveries.
  • 9. Results 18/11/2020 RPA for engineering projects 9 • Parts of most processes have to be executed in the client applications, and these may take a lot of time, and we are observing that for some BIMs/processes, the brunt of execution time for the robot is spent waiting. In spite of this, we are getting good efficiency numbers. The one licence currently running is saving 1-1.5 man-hours per running hour. • Apart from some stability issues with the applications and some glitches caused by application updates, the automated processes are by and large stable. • Gains shown in the next slide are measured after 6 months of service, but does not include two processes that were delivered later. • The qualitative gains are more important than quantitative wins (money) in this scenario, as the potential costs of errors are quite staggering.
  • 10. Metrics (Measured results) 18/11/2020 RPA for engineering projects 10 201837 201840 201842 201844 201846 201848 201850 201852 201902 Cumulative work, in FTEs 80.6 % 80.6 % 81.2 % 82.1 % 82.5 % 82.9 % 83.6 % 79.0 % 79.5 % 80.0 % 80.5 % 81.0 % 81.5 % 82.0 % 82.5 % 83.0 % 83.5 % 84.0 % 201837 201840 201842 201844 201846 201848 201902 Robotexecutionofselectedprocess instances Yr/Week % Robot work of total work Blue: All BIM work Green: BIM work done by robot