This module will further enhance the student's data acquisition base and will provide the basic on data analysis of field-data. A significant portion of this course is devoted to design the instrumentation setup in terms of choosing sensors and their positions in order to properly characterize the field performance of agricultural machines, and to data analysis of the acquired data through Matlab. This will allow the student to use this knowledge practically in the field of agricultural machines.
- Measurement units and definitions, error analysis:
Vocabulary of basic measurement science, understand how errors effect measurement results.
- Sensor characteristics:
Role of sensors in measurements, physical working principles, different types of sensors, calibration process.
- Can-Bus/Isobus:
Definitions of CanBus/Isobus and characteristics of the signals.
- Data Acquisition Systems:
Different type of acquisition systems, chose the correct acquisition system based on the sensors characteristics.
- Set up a field test:
Correct choice of the physical dimensions to measure, sensors and DAQ choice and applications, examples of test methodologies.
Whorkshop (30 hours):
- How to use a DAQ (NI Measurement & Automation Explorer):
Basic learning of NI-MAX, tests with different types of sensors at the Unibo workshop.
- Introduction to a Data Acquisition/Analysis software (MATLAB):
Basic learning of the software MATLAB at the Unibo workshop.
- Data Acquisition (MATLAB Data Acquisition toolbox):
Basic learning of MATLAB Data Acquisition toolbox, tests with different types of sensors at the Unibo workshop.
- Data analysis and graphical presentation (MATLAB):
Basic learning of data analysis techniques and graphical presentation using MATLAB.
- Field test data acquisition:
Acquire data during a filed test at the Unibo facilities.
This module involves development of competence in both theory and practical skills; Practical work will be carried out in our specialized workshop; Lectures will be delivered using Prepared Handouts, White Board, Overheads, PowerPoint Presentations;
Final examination will be given to assess learning.
Students who do not possess a passing grade or the required attendance at the semesters end will be required to sit a computer based exam. In the event a student fails module due to not meeting 80% attendance at practical/workshop sessions outside of extenuating circumstances, then repeat attend is required at next available offering of the module.