Application
This unit describes the performance outcomes required to configure a data acquisition system, and analyse and present motor sport data. It involves preparing for the task, analysing data requirements, configuring an electronic system, and retrieving, analysing and presenting data in various forms, including charts, graphs, tables, comparisons and reports. The data may be related to weather, circuit, driver or rider characteristics, system capability, and vehicle design specifications.
It applies to those working in the motor sport industry.
No licensing, legislative, regulatory or certification requirements apply to this unit at the time of publication.
Elements and Performance Criteria
Elements Elements describe the essential outcomes. | Performance Criteria Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold and italicised text is used, further information is detailed in the range of conditions section. |
1. Identify and confirm data acquisition requirements | 1.1 Team requirements and controlling body rules, category rules and supplementary regulations are used to specify data requirements 1.2 Benchmark specifications for a correctly functioning electronic data acquisition system are accessed and interpreted |
2. Configure electronic data acquisition system | 2.1 Tools and material to support data acquisition process are selected and prepared 2.2 Component rates, ratios and parameters for input sensors are calculated and entered into system math channels 2.3 Sample rates most suited to particular data logging channel are entered 2.4 System operation is checked according to manufacturer specifications and team requirements |
3. Retrieve data | 3.1 Data acquisition system start-up procedure is carried out according to manufacturer procedures 3.2 Data acquisition system is operated according to its designed capacity and purpose, manufacturer specifications and safety requirements 3.3 Retrieved data is verified, where appropriate, using reliable alternative or optional processes according to team requirements 3.4 Data parameter variables and potential for inaccurate results are identified |
4. Analyse data | 4.1 Sources of collected data are compared for consistency 4.2 Data is analysed using mathematical processes 4.3 Trends and patterns in data are analysed, including non-conforming results outside of predicted outcomes 4.4 Possible reasons for trends and patterns are investigated 4.5 Potential vehicle performance enhancement solutions are identified 4.6 Problems with required data or operation of equipment are 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 to meet end user needs 5.3 Recommendations are documented and presented with supporting data |
6. Complete work processes | 6.1 Equipment and support material are cleaned, maintained and prepared ready for further use according to manufacturer procedures and team requirements 6.2 Faults in acquisition systems and components are diagnosed 6.3 Unserviceable equipment and faults are documented and appropriate action is taken according to team procedures |
Evidence of Performance
Before competency can be determined, individuals must demonstrate they can perform the following according to the standards defined in this unit’s elements, performance criteria, range of conditions and foundation skills:
configure data acquisition process for each of the following types of motor sport data on two occasions:
vehicle data
weather data
circuit data
driver or rider characteristics
acquire, analyse and present above acquired data.
Evidence of Knowledge
Individuals must be able to demonstrate knowledge of:
work health and safety (WHS) and occupational health and safety (OHS) requirements relating to collecting and logging motor sport data, including procedures for identifying hazards and managing risks
types of motor sport data sources, including vehicle, weather, circuit and driver or rider
motor sport data acquisition systems, including:
types, characteristics, components, uses and limitations of signal devices and sensors
methods for determining component rates and ratios
configuration, inspection and system checks of data acquisition systems
operation of data acquisition systems and inputting of variables
data retrieval processes and techniques
data analysis principles, techniques and methodology, including associated mathematical formulas
types of statistical representations of motor sport data, including vehicle, weather, circuit, and driver or rider
data security and confidentiality procedures
data acquisition system inspection, maintenance and system check procedures, including data acquisition system fault diagnosis.
Assessment Conditions
Assessors must satisfy NVR/AQTF assessor requirements.
Competency is to be assessed in the workplace or a simulated environment that accurately reflects performance in a real workplace setting.
Assessment must include direct observation of tasks.
Where assessment of competency includes third-party evidence, individuals must provide evidence that links them to having managed motor sport data, e.g. analysis reports.
Assessors must verify performance evidence through questioning on skills and knowledge to ensure correct interpretation and application.
The following resources must be made available:
motor sport vehicle
motor sport data acquisition system
motor sport data analysis software.
Foundation Skills
This section describes those language, literacy, numeracy and employment skills that are essential to performance and are not explicit in the performance criteria.
Skills | Description |
Learning skills to: | adapt procedures to different vehicles. |
Reading skills to: | interpret data acquisition system and data analysis software operating procedures from manufacturer instructions. |
Oral communication skills to: | discuss needs of data end users. |
Numeracy skills to: | use basic mathematical processes, including addition, subtraction, multiplication and division, to calculate component rates, ratios and parameters for input sensors compare numerical information with expected values perform basic statistical calculations in data, such as mean and standard deviation. |
Digital literacy skills to: | operate computer-based data acquisition systems and data analysis software to analyse data and represent data in differing formats. |
Planning and organising skills to: | gather data with a minimum of backtracking or workflow interruptions. |
Self-management skills to: | work efficiently with minimal supervision and within workplace timeframes. |
Technology skills to: | connect and disconnect data acquisition system to vehicle without causing damage. |
Range Statement
This section specifies work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included. Bold italicised wording, if used in the performance criteria, is detailed below.
Safety requirements must include: | work health and safety (WHS) and occupational health and safety (OHS) requirements, including procedures for identifying hazards and managing risks. |
Sectors
Information Technology
Competency Field
Motor Sport