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MARH043 — Conduct advanced Autonomous Surface Vessels (ASV) operations

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What an assessment for MARH043 must cover

41 assessable components: 7 elements (21 performance criteria), 9 performance evidence and 11 knowledge evidence requirements. An audit-defensible tool maps every question and task back to these — that mapping is the coverage matrix Auditori generates alongside the assessment.

Elements & performance criteria

1 Apply knowledge of environmental dynamics when planning ASV operations

  • 1.1Surface layer upwelling and downwelling due to wind stress curl and frontal activity and their potential impact on ASV operations is outlined
  • 1.2ASV operations are planned with specific consideration for the risks associated with ocean currents and tides

2 Apply knowledge of radio frequency (RF) communication principles to optimise ASV missions

  • 2.1Principles of ASV mission planning and execution in a global navigation satellite system (GNSS)-denied environment are outlined
  • 2.2ASV missions with enhanced RF techniques are conducted

3 Explain control theory in relation to ASV performance

  • 3.1Concepts of input, output, error, feedback and gain for a simple control system are described
  • 3.2Principle of tuning the three components of proportional-integral-derivative (PID) control to improve the achievement of an ASV navigation goal is outlined

4 Conduct advanced vehicle performance analysis

  • 4.1Post-mission extraction and storage of ASV engineering data is conducted following a data plan
  • 4.2Numerical and graphical analysis of ASV engineering data is conducted using nominated software package
  • 4.3ASV performance is assessed relative to original equipment manufacturer (OEM) standard benchmarks of USV operation

5 Conduct advanced post-mission analysis

  • 5.1Extraction and storage of sensor payload data is conducted following a data plan
  • 5.2Numerical and graphical analysis of sensor data is conducted using nominated software package
  • 5.3ASV sensor data quality is assessed relative to OEM standard benchmarks of USV operation
  • 5.4Anomalies in ASV sensor data is assessed relative to vehicle performance analysis

6 Conduct advanced search and rescue operations for a lost ASV

  • 6.1ASV location operation with RF link is conducted in visual line of sight (VLOS) conditions according to operational requirements
  • 6.2ASV location operation with RF link is conducted in beyond visual line of sight (BVLOS) conditions according to operational requirements

7 Conduct advanced ASV missions following operations procedures for planning, execution and analysis

  • 7.1ASV mission applying advanced knowledge of navigation options for GPSS-denied environment is conducted
  • 7.2ASV bathymetry mission applying advanced knowledge of sonar and bottom imaging is conducted
  • 7.3ASV mission applying knowledge of passage planning is conducted
  • 7.4ASV mission examining towing performance is conducted
  • 7.5ASV mission examining impact of sensor positioning on hydrodynamic performance is conducted
  • 7.6Operational logbook entries are completed

Performance evidence

  • analysing numerical and graphical engineering and sensor data of Autonomous Surface Vessels (ASV) to assess performance against known benchmarks
  • conducting an advanced ASV search and rescue operation with a radio frequency (RF) link
  • conducting an ASV mission in a high-current and high-wind environment
  • conducting consecutive ASV missions that build upon collected knowledge to improve a bathymetry survey
  • conducting consecutive ASVs to collect and analysing vehicle engineering performance data
  • planning, executing and analysing three operational ASV missions in NC waters under supervision, including a minimum of: o one mission operating in a global navigation satellite system (GNSS)-denied environment o one mission specific to bathymetry survey o one mission specific to passage planning o completing an ASV logbook, including recording operational logbook entries for each mission
  • planning, executing and analysing two diagnostic ASV missions in Near Coastal (NC) waters under supervision, including a minimum of: o completing an ASV logbook, including recording operational logbook entries for each mission o one mission specific to impact of re-configuring sensor payloads on hydrodynamic performance o one mission specific to towing performance
  • producing a metadata record for one vehicle data parameter and one sensor data parameter
  • producing and executing a data workflow

Knowledge evidence

  • advanced ASV mission operations, including: o bathymetry mission using sonar and bottom imaging o operating in a GNSS-denied environment o towing operations
  • ASV data management, including: o data plan o data redundancy o data security o data workflow o fundamental units of data o metadata o ‘raw’ and ‘working’ data
  • ASV performance benchmarks, including: o heading o maximum revolutions per minute (RPM) and speed o minimum turn radius o position error
  • environmental ocean dynamics and operational risks when conducting ASV operations, including: o coriolis, ekman transport and wind stress curl o estuary dynamics o langmuir circulations o ocean currents and tides o turbulent and laminar flows o waves
  • methods and techniques used to determine ASV performance against standard benchmarks, including: o process for identifying anomalies in ASV sensor data o quality of ASV sensor data
  • methods used to analyse data, including: o calculation of mean and standard deviation for sub-sampled data o graphical analysis for rates of change in parameters o use of software packages
  • operational data units and conversions, including: o distance in metres and nautical miles o speed in knots and metres per second
  • process for conducting advanced search and rescue operations
  • processes used to handle and store data including: o completing ASV logbooks and metadata records o extraction and storage of ASV engineering data o extraction and storage of sensor payload o producing a data plan and data workflow
  • proportional-integral-derivative (PID) control o error o gain o input o Kp, Ki and Kd coefficients o output
  • radio navigation

Unit content sourced from training.gov.au — © Commonwealth of Australia, licensed under CC BY 4.0. Auditori is not affiliated with the Department of Employment and Workplace Relations.

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Questions about assessing MARH043

What does an assessment tool for MARH043 need to cover?

To satisfy the Principles of Assessment and Rules of Evidence, an assessment for MARH043 needs to address all 41 unit components: 7 elements with 21 performance criteria, 9 performance evidence requirements, 11 knowledge evidence requirements, and the foundation skills. A coverage matrix mapping each question and task to these components is what an auditor looks for.

How does Auditori generate an assessment tool for MARH043?

Auditori pulls the current release of MARH043 from training.gov.au and generates a complete package: candidate assessment, assessor guide with model answers and observation criteria, and a coverage matrix mapping every component. A suitably qualified person then reviews and approves the draft in a built-in workflow — consistent with ASQA's guidance on AI use in VET — before export as branded PDF and editable Word.

Is the first assessment tool really free?

Yes. Every new account includes one free credit — enough to generate the complete assessment tool for MARH043 — with no card and no subscription required. After that it's pay-as-you-go per unit.

Can I check my existing MARH043 assessment instead of generating a new one?

Yes — upload your existing assessment or learner guide and Auditori maps it against every element, performance criterion, PE and KE of MARH043, showing exactly what's covered and what's missing. Mapping costs a quarter of a credit.

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