hydrographic and marine software solutions

Future of hydrographic softwareFrans NijsenMarketing & Sales

• QPS, part of Saab• Managing future data volumes• New visualization and User Experience techniques• Short term developments

QPS BV

• Founded 1986• 1997 – Launch of QINSy• 2001 – Became part of HITT• 2002 – Launch of Qastor• 2006 – Launch of Qarto• 2011 – IVS3D becomes part of QPS• 2012 – HITT becomes part of Saab• 2015 – Launch of Qimera

QPS, part of Saab

Market and Customer focusPR

UD

UC

TS &

SYS

TEM

S

NAVALCIVIL SECURITY AIR LANDCOMMERCIAL AERONAUTICS

SERVICES

SOLU

TIO

NS

Customer Support and Services

Civil securitysystems

Training andSimulation

Supportweapons

&Light weightMissiles

Heavy Missiles

Radar and EW-systems

UnderwaterSystemsSignature

management

AeronauticalPlatforms

C4ISRsystems

AeronauticalSub-systems

Maritime Traffic Management

VESSEL TRAFFIC SERVICES

PORT MANAGEMENT

HYDROGRAPHICS

AUTOMATIC IDENTIFICATION SYSTEM

PRECISION NAVIGATION

• AIS transponder systems

• AIS base stations andnetworks

• Navigation systems

R5, R4, R40


HYDROGRAPHICS


• Coastal surveillance

• Maritime domain awarenenss

• Platform protection


CoastWatch VTMIS, V3000AUTOMATIC IDENTIFICATION SYSTEM

PORT MANAGEMENT


HYDROGRAPHICS• Port services

• Vessel and birth planning

• Billing and reporting


Kleinport

PORT MANAGEMENT




PORT MANAGEMENT

• Hydrographic data acquisition


QINSy, Qimera, Fledermaus

HYDROGRAPHICS• Processing


PRECISION NAVIGATION• Visualisation & analysis


PORT MANAGEMENT



Qastor and ADX- ADQ1 AUTOMATIC IDENTIFICATION SYSTEM

HYDROGRAPHICS

Managing future data volumes

• 10 yrs. ago MBES produced 256 points per ping.• Current data rate is 1600 points per ping.• Future will be more, but also multi frequency.• Not only MBES data, also Laser (above & under

water). • 5 yrs. ago, QINSy could handle 750.000 points per

sec.• Currently we can handle over 4.000.000 points per

sec.


• Traditionally we are storing all the data locally on the vessel. Will we still be doing this in 5yrs time?

• Shouldn’t we be connecting the sensors to the internet and use the internet to live stream the hydrographic raw data?

• Use Cloud computing to acquire and process data.• Surveys around the world will be monitored in a mission control

center.

Data courtesy – CCOM & NOAA


• Record all data records, all the time.• Bathy• Multispectral backscatter (100, 200, 400 kHz)• Water Column Imaging (WCI)

• Instead of processing everything afterwards we will need to do more real time processing, in order to speed up the workflow.

• This means auto filtering of bathy data, generate real time multispectral imaging and real time WCI data extraction.

R = 100 kHzG = 200 kHzB = 400 kHz


• Automatic filtering of the bathy data must become so intelligent (self learning) that we can fully rely on this.

• With SSS, SAS or Backscatter imaging we need to be able to do real time target detection, but also target recognition.

• Water Column Imaging must become so smart that it automatically extracts objects and recognizes them. Is this a wreck, seeps, a school of fish or a mine like object?

• Data will automatically become available in GIS.

• The onshore surveyor becomes responsible for data quality and interpretation instead of data collection.


• New AUV and ASV systems will probably operate in a fleet and will stay on or in the water for a longer period as we are now used to.

• ASV’s can make use of solar power and satellite communication. AUV’s can dock to a submerged AUV garage to power up, upload the recorded data, and download the new mission.

• We will see an increase of AUV and ASV systems worldwide. This will result in the need for more robotic and monitoring software.


Example: Large parts of the North Sea will be covered with offshore windfarms. Instead of using a manned surface survey vessel, we can install submerged AUV garages in each wind farm. Use the AUV for scour protection monitoring.


• Should we be afraid of these data volumes?

• No, we have always been able to cope with the increase of data in the past.

• New hardware and software techniques will make it possible to cope with the future data volumes.

• The multibeam will become a mainstream survey system, everybody will be able to operate it. This will result in even more data.

Visualization and User Experience

Additional Challenges and Opportunities:

Volume increases beyond just sensor growth:• Growth in repeated surveys is a further multiplier (driven by

growth autonomous & automated platforms)• Analysis grows further in both spatial and temporal

As time, and dynamic character become factors in high-resolution data, important changes are more likely to occur over shorter periods of time.• Efficient time structures and 4D visualization tools are therefore

important, especially to find important differences • Change management (of data) is becomes even more critical

Visualization and User ExperienceSiltation monitoring4D visualization: monthly surveys combined with dredge model and raster chart

Data courtesy – Groningen Seaports & PDOK

Visualization and User ExperienceEngineering modeling: subsea assetsPoint cloud combined with grid

Data courtesy – Bibby Hydromap


• Increase of data and data types also requires rethinking of data presentation.

• Combinations of grids, point clouds and 3D mesh shape.• 4D presentation.

• Questions we need to look at in 10yrs time:• Will the computer mouse still exist, or will every thing be operated by

touch screen, voice control or eye / hand gestures.• Will computer screens still exist, and are we going to rely on hologram

techniques that can be manipulated with your hands as in the movies?Data courtesy – Port of Rotterdam & PDOK


• Augmented reality is starting to become more important.

• Kids are already using it!!! (and some adults)


• Automation (deep learning) will be important for both intelligent filtering, but also intelligent “presentation” of data.

• Processing power will continue to grow (Cloud, Multi-CPU, GPU) but taking advantage of it will require:

• Intelligent programming for multi-processors• Very fast I/O systems

Conclusion

QPS anticipates on trends in the survey industry regarding new demands and markets.

QPS works together with hardware manufacturers and users regarding new survey system and workflow optimization.

Together with SAAB, QPS is constantly involved in various R&D projects that will benefit the user.

Short term developments

• QPS product suite• Focus of products will change a little bit

• Sub Bottom Profiling• ADCP • Feedback Voting

QPS Product Suite - Workflow

• Old Multibeam Workflow

QINSy Processing Manager Qloud Fledermaus

QPD QPD Grid

Qloud End of Life announced

• Current Multibeam Workflow

QPS Product Suite - Workflow

QINSy Qimera

Processing Manager

Fledermaus

GIS

Db’sQPD

GridGrid GridGrids

Bathy processing functionality are moved towards Qimera.Processing Manager will change focus towards working with grids.

Sub bottom integration

Drivers: Innomar SES2000EdgeTechKongsberg EA440 (coming shortly)

ADCP

Dedicated ADCP display is under development

Drivers: Teledyne RDI Workhorse

Feedback Voting

Thank you.Questions?

hydrographic and marine software solutions

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