AUTOMOTIVE INDUSTRY RETAIL, SERVICE & REPAIR - part 22

AURM4414A

Manage motorsport data acquisition

Unit descriptor

This unit covers the competency to configure a data acquisition
system, acquire, analyse and present motorsport data. This
includes analysis of data and presentation in the form of graphs,
charts, tables, comparisons, and reports.

Prerequisites

AURM3403A Collect and log motorsport data

AUR18708A Carry out minor repairs to electrical

circuits/systems

MEM2.13C5A Perform mathematical computations

ELEMENT PERFORMANCE

CRITERIA

1. Identify and confirm

data acquisition
requirements

1.1 Controlling body rules, category rules, supplementary

regulations and team requirements are used to determine
task specifications including configuration, equipment,
quality and quantities

1.2 Benchmark specifications for correctly functioning data

acquisition are accessed and interpreted

1.3 OH&S requirements including equipment and system

isolation requirements and personal protection needs are
observed throughout the work

2. Configure electronic

data acquisition systems

2.1

Tools and material required to support the data
acquisition process are identified, selected and prepared
for use

2.2

Component rates/ratios and parameters for input sensors
are determined/calculated and entered within system
math channels

2.3

Sample rates are determined and entered

2.4

Systems check is conducted in accordance with
regulatory, manufacturer/component supplier and team
requirements

3. Retrieve data

3.1

Team instructions and procedures are used to determine
data retrieval requirements for specific purposes

3.2

Data retrieval process is followed in accordance with
specifications and directions

3.3

Retrieved data is verified where appropriate by using
reliable alternate or optional processes

3.4

Potential for inaccurate results arising from variables is
estimated and described

AURM4414A Manage motorsport data acquisition Automotive

Industry

RS&R

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AUR99 Version 4.00 Review by 30 June 2004

©Australian National Training Authority

ELEMENT PERFORMANCE

CRITERIA

4. Analyse data

4.1 Comparisons of all sources of collected data are made

4.2 Mathematical processes are used to analyse data

4.3 Trends or patterns in data including non-conforming

results outside of the predicted outcome, are noted and
reasons identified

4.4 Possible reasons for trends or patterns are investigated

4.5 Potential performance enhancements solutions are

identified

4.6 Problems with the required data and/or the operation of

the equipment are identified and reported to appropriate
persons

5. Present

data

5.1 End-users of statistical data and their preferred format are

identified

5.2 Data is represented appropriately according to end-user

needs

5.3 Appropriate recommendations are devised and

documented

5.4 Recommendations are presented with supporting data

Clean up work area and
maintain equipment

6.1 Data that can be reused is retrieved and stored

appropriately

6.2 Equipment and support material are cleaned, maintained

and prepared ready for further use and stored in
accordance with manufacturer/component supplier
specifications and team requirements

6.3 Waste material is removed according to team procedures

6.4 Faults in data acquisition systems and components are

diagnosed

6.5 Unserviceable equipment and faults are documented and

appropriate action taken in accordance with team
procedures

RANGE STATEMENT

The Range Statement provides advice to interpret the scope and context of this unit of
competency, allowing for differences between enterprises and workplaces. It relates to the unit
as a whole and facilitates holistic assessment. The following variables may be present for this
particular unit:

Unit scope

• Work involves configuring a data acquisition system,

acquiring, analysing and presenting motorsport data. This
includes analysis of data and presentation in the form of
graphs, charts, tables, comparisons, and reports.

• Data acquisition systems to be covered in this unit include

systems with logging and display capabilities (either via a
integral or remote display or external computer)

• Data presentation methods include, but are not limited to,

tables, graphs, maps, averages, percentages, ratios and
diagrams

• Data required includes, but is not limited to, vehicle data,

weather data, circuit data, driver/rider characteristics,
systems capability and vehicle design specifications

• End-users of data include, but are not limited to,

driver/rider, technical supervisor(s), team management,
sponsors/promotional/technical partners and media outlets

• Security and confidentiality are critical aspects of data

acquisition and reporting

Unit context

• OH&S requirements include relevant state and

commonwealth legislation, safety management systems,
controlling body requirements, manufacturer/component
supplier specifications and safe operating procedures

• Work is carried out in accordance with legislative

obligations (including environmental requirements),
relevant health regulations, manual handling procedures
and insurance requirements

• Work requires individuals to demonstrate analytical and

organisational ability, judgement and problem solving
skills in the set up and operation of data acquisition
equipment

Tools and equipment

•

Tools and equipment are to include specific data
acquisition system tools and may include, but are not
limited to, multimeters, computers, hand held calculators,
mathematical tables, graphing and charting equipment

AURM4414A Manage motorsport data acquisition Automotive

Industry

RS&R

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AUR99 Version 4.00 Review by 30 June 2004

©Australian National Training Authority

RANGE STATEMENT

Personal protective
equipment

•

Personal protective equipment is to include that prescribed
under legislation, regulations and team policies and
practices

Information and
procedures

• Workplace procedures relating to the use of data

acquisition systems and equipment

• Team procedures including job sheets, check lists, plans,

drawings and designs

• Workplace procedures relating to reporting and

communication

• Manufacturer/component supplier specifications and

operational procedures

EVIDENCE GUIDE

The Evidence Guide identifies the critical aspects, knowledge and skills to be demonstrated
to confirm competency for this unit. This is an integral part of the assessment of competency
and should be read in conjunction with the Range Statement.

Critical aspects of
evidence

• Interpret and apply team requirements, controlling body

and category rules and supplementary regulations

• Apply safety requirements including the use of personal

protective equipment

• Follow task instructions, operating procedures and

inspection processes to:

• minimise the risk of injury to self and others

• prevent damage to competition vehicle or equipment

• achieve required outcomes within team time and

quality standards

• Correctly configure data acquisition system, acquire,

analyse and present motorsport data on a minimum of
three (3) occasions. At least one (1) of these must be an
event or a simulated event environment. Each of the
following must be covered:

• vehicle data

• weather data

• circuit data

• driver/rider characteristics

• Retrieve data within relevant team quality and timeliness

standards

EVIDENCE GUIDE

Critical aspects of
evidence (continued)

• Work effectively with others

• Modify activities to cater for variations in workplace

context and environment

• Follow team data security and confidentiality procedures

at all times

Underpinning knowledge

• Data acquisition system channel requirements including

the types, characteristics, uses and limitations of signal
devices/sensors

• Methods for determining/calculating component rates

and ratios

• Configuration, inspection and system checks of data

acquisition systems

• Operation of data acquisition systems and the inputting of

variables

• Data retrieval processes and techniques

• Data analysis principles, techniques and methodology

including associated mathematical formulae

• Types of statistical representations of motorsport data,

users of the data and their preferred format of data
display

• Mathematical processes used to arrange data

• Data comparison methods including identifying trends

and patterns, possible reasons for trends and patterns and
potential solutions

• Data presentation methods including the use of data to

support recommendations

• Data acquisition system fault diagnosis down to

connection/component level

• Procedures for reporting equipment faults and data

defects

• Workplace safety policies and procedures

AURM4414A Manage motorsport data acquisition Automotive

Industry

RS&R

138

AUR99 Version 4.00 Review by 30 June 2004

EVIDENCE GUIDE

Underpinning skills

These include a number of processes that are learnt throughout work and life, which are
required in most jobs. Some of these are covered by the national key competencies, although
others may be added. The questions below highlight how these processes are applied in this
competency unit. The number in brackets indicates the level to which the key competency
needs to be demonstrated where (1) is where work is within set conditions and process, (2) is
where the management or facilitation of conditions or process is exercised, and (3) is where
the design and/or development of conditions or process is required.

How will the candidate
apply the following key
competency in this unit?

The candidate will need to:

Collect, analyse and
organise information

Collect, organise and understand information related to data
acquisition, team requirements, manufacturer/component
supplier specifications, plans and safety procedures.

(Level 3)

Communicate ideas and
information

Communicate ideas and information to enable clarification of
the requirements, coordination of work with team members,
and the reporting of work outcomes and issues.

(Level 2)

Plan and organise
activities

Plan and organise activities including the coordination of data
acquisition equipment, systems and material to avoid any
back-tracking, work flow interruptions or inefficiencies.

(Level 2)

Work with others and in
a team

Work with others to foster the team by recognising
dependencies and using cooperative approaches to optimise
workflow and productivity.

(Level 2)

Use mathematical ideas
and techniques

Use mathematical ideas and techniques to correctly complete
measurements and calculations required during the
configuration of data acquisition systems and presentation of
data.

(Level 3)

Solve problems

Create and apply systematic problem solving techniques to
anticipate changing information requirements or influences.

(Level 2)

Use technology

Use technology related to the configuration and use of data
acquisition systems, calculators, measuring devices and
computing/computer aided systems.

(Level 3)

EVIDENCE GUIDE

Resource implications

• Access to a data acquisition system, equipment and

operating procedures as identified in the Range Statement

Method of assessment

• Assessment methods must confirm consistency of

performance over time and in a range of workplace
relevant contexts

• Assessment should be by direct observation of tasks and

questioning on underpinning knowledge

• Assessment should be conducted over time and may be in

conjunction with assessment of other units of
competency

Context/s of assessment

• Assessment may occur on the job or in a workplace

simulated facility with relevant process equipment,
material, work instructions and deadlines

• At least two assessments must occur at a motorsport

event, or within a simulated event environment

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