An Introduction to Near Real Time Data Processing

Transcription

1 An Introduction to Near Real Time Data Processing Presented by Andy Hoggarth, CARIS HYDRO NOV CAPE TOWN

2 Scope Introduction The current autonomous platform market The Operational Requirement CARIS Onboard Applications How CARIS Onboard works Field Trials Conclusion

3 Introduction The volume of Autonomous Survey Operations have increased over the past 5 years Not only AUVs, but USVs The potential benefits are clear lower capital & operating costs, rapid deployment/recovery and the ability to work closer to the intended target Traditionally, the platform would be sent on a pre-defined mission and gather hydrographic data, to be stored internally until recovery when it would be processed As power sources improve operating times, little has been done to address the data bottleneck

4 Autonomous Platform Market Mission Duration Persistent Short - term Sub Surface Surface Manned / Autonomous

5 The Operational Requirement Autonomous platforms often lack the human control in the feedback loop Data deliverables may be slower Data typically has to be processed after download at end of mission (small real-time communications bandwidth) Data could be incorrectly acquired due to lack of surveyor interaction with platform (no feedback loop)

6 The Operational Requirement By processing hydrographic data On Board, we can mitigate the data bottleneck A processed dataset can be made available over limited bandwidth to the surveyor Decisions can then be made as to how to proceed with the survey in the most time efficient manner If no bandwidth is available, an almost final dataset can be quickly reviewed before redeployment of the vessel - For survey launches and manned vessels, a near-completed survey dataset is immediately available at the end of the survey

7 Potential Time Savings Traditional Workflow Setup Acquire Download Process Product Setup AUV Dives Acquire AUV Recovered Final Product AUV ready for redeployment Download Process Time saved Product CARIS Onboard Workflow

8 Typical CARIS Onboard Users Product deliverables scaled to support different platforms and operations AUV USV Manned platform remote supervision (survey launch/tenders) Crowdsourced Bathymetry

9 CARIS Onboard Products Examples of near real time products High Bandwidth Low Bandwidth Bathymetry surface QC report CARIS line files ASCII depths GeoTiff Sidescan Mosaic Sounding Surface

10 Use Cases Autonomous Underwater Vehicle Product(s) Deployment QA/QC Product(s) Data Files Store Process

11 Use Cases Autonomous Surface Vessel (Satellite Communications) Bathymetric Surface USV gathering multibeam data, processing using CARIS Onboard Shore Data Centre

12 Use Cases Manned Vessel Acquisition Software Sonar Hardware CARIS Project

13 Command & Control Surveyor in Charge on Mother Ship, monitoring survey launches remotely and directing operations

14 Crowdsourcing Lean manned vessel equipped with survey sensors Bathymetry Surface Hydrographic Office

15 The CARIS Onboard Workflow The CARIS Onboard workflow follows a similar path to the traditional workflow, but with key processing steps automated. These steps are defined before deployment of the platform, and are configurable by the surveyor to meet the needs of the survey. Not only does this save time, it aids in repeatability of processing ensuring consistency and compliance with the designated survey workflow

16 Typical Process Workflow

17 CARIS Process Designer

18 CARIS OnBoard

19 80-90% Processing Solution CARIS Onboard will perform the automated tasks as defined by the surveyor This leaves the following steps in a typical multibeam workflow: Review navigation Apply Sound Velocity Apply final tide files or post processed height (ERS surveys) QC and make extra edits to the data

20 Sea Trials Trialing CARIS Onboard

21 3 tier approach In order to prove the concept, 3 platforms were identified: Unmanned Surface Vehicles Autonomous Underwater Vehicles Manned Survey Launches This allowed a scaled approach to proving the software with both the platform and sensors

22 Proof of Concept Liquid Robotics & Teledyne Wave Glider SV3

23 Proof of Concept - Z Boat at US Hydro 2015

24 Proof of Concept NOAA Bay Hydro II & Terrasond

25 Proof of Concept Hydroid Remus Successful trial on Remus vehicle conducting trials in Boston, MA

26 Conclusions Onboard data processing reduces overall ping to product time Allows for remote transfer of meaningful data from your survey platform, preventing costly errors in data acquisition and allowing effective management of remote assets Allows survey personnel to focus on higher level hydrographic tasking As part of the CARIS Ping-to-Chart solution, the data gathered can be processed in an optimal workflow to final product

27 Questions?