Hardware design of a smart thing that you have constructed, using Arduino and sensor(s) (2

Hardware design of a smart thing that you have constructed, using Arduino and sensor(s) (20%)

Computer Science and Creative Technologies

Module Code

UFCFLJ-15-M

Module Title

Linked, Open Data and the Internet of Things

Module Leader

 

Module Tutors

 

Year

 

Component/Element Number

B/CW1

Total number of assessments for this module

2

Weighting

50%

Total Assignment Time

40 hours

Element Description

Coursework (2000 words)

 

 

Coursework Specification Module Details

Dates

Date issued to students

 

Date to be returned to students

 

Submission Date

 

Submission Place

Blackboard

Submission Time

 

Submission Notes

 

Feedback

Contents

Module Details...................................................................................... 1

Dates.................................................................................................. 1

Feedback............................................................................................. 1

Contents................................................................................................ 2

Section 1: Overview of Assessment............................................................. 3

Section 2: Task Specification...................................................................... 3

Section 3: Deliverables.............................................................................. 4

Section 4: Marking Criteria......................................................................... 4

Section 5: Feedback mechanisms................................................................ 4

Bibliography............................................................................................ 6

Section 1: Overview of Assessment

This assignment assesses the following module learning outcomes:

  • Consuming and visualizing IoT sensor node data.
  • Ontological modeling for the web of things

This individual assignment is worth 50% of the overall mark for the module.

You will design and build a smart thing, a sensor node, using an Arduino and sensor(s) of your choosing. Data recorded over a representative period of time will be uploaded to ThingSpeak where it can be visualised. You will also add suitable “thing description” metadata to augment the data. This will be accompanied by a 2000 word write-up, explaining your approach and your reflections upon it.

This coursework will demonstrate your ability to work practically with hardware, software, and metadata. You will submit your coursework via Blackboard by the due date. The assignment is described in more detail in section 2.

All the technologies that you will need for your coursework will be explained during the practical sessions. If you have questions about this assignment, please post them to the discussion board on Blackboard.

Section 2: Task Specification

The Approach to Citizen sensing (bristolapproach.org, 2018) is about empowering people to design and build their own smart sensors using cheap open hardware and free software platforms. Sensor data is often lost in cyberspace, so we aim to capture information about the data being collected, and create connections between different datasets.

This coursework is about creating your own IoT smart sensor node, uploading your data to the cloud, and making it available as Linked Open Data using suitable metadata.

Your report will cover the following points:

  • Describe the hardware design of a smart thing that you have constructed, using the Arduino and a specific sensor (or sensors).
  • Share your software on the Arduino Create Web Editor.
  • Upload a representative set of data to the cloud, using ThingSpeak

(MathWorks, Inc, 2021), and share a link to your channel.

  • You will use the W3C Web of Things (WoT) JSON-LD Thing Description

(W3C, 2020) to create channel metadata.

  • Your report should include data visualisations of your ThingSpeak channel.

The practical sessions will give you space to develop your smart thing hardware, software, and metadata

Section 3: Deliverables

Students will be assessed on their ability to express their design in a report of approximately 2,000 words excluding references. This should be written in accordance with the word count policy http://www1.uwe.ac.uk/aboutus/policies.aspx assuming a

±10% tolerance. Any references should be presented in UWE Harvard style. Students will be assessed on their ability to explain their design choices clearly and succinctly.

Sharing your Arduino Create Web Editor code.

  1. Create a sketch containing your code in the Web Editor
  2. Select Sketchbook in the menu to the left > Click on the pull-down menu next to the sketch name > Share Sketch… > change the visibility to public

3.    copy the link into your report.

Sharing your ThingSpeak channel

  1. Create your channel at thingspeak.com
  2. In Channels > MyChannel > select your channel
  3. On the ‘Sharing’ tab select “Share channel view with everyone.”
  4. Open the ‘public view’ tab

5.    copy the URL in the browser address bar into your report.

Section 4: Marking Criteria

Marks will be awarded according to the extent to which you demonstrate the following (weightings shown in brackets):

  • Hardware design of a smart thing that you have constructed, using Arduino and sensor(s) (20%)
  • Clear, commented Arduino software (20%).
  • Your data will be available in the cloud, in a ThingSpeak channel (20%).
  • Your thing description metadata, added as ThingSpeak metadata (20%).
  • Clarity of your write-up and reflection (20%).

Section 5: Feedback mechanisms

Formative feedback will be provided if submitted well before the final deadline.

Appendix 1 – Individual Marking Criteria

INDIVIDUAL

Needs work (0-49%)

Pass (50-59%)

Merit (60-69%)

Excellent (70-100%)

Hardware (20%)

Little or no attempt at describing the hardware design.

Reasonable hardware design, no pictures.

Good explanation of your hardware design, including pictures.

Great introduction and background. Excellent description of your hardware design.

Software (20%)

No link to software, poor designed or uncommented.

Poor software design or weak comments. Little explanatory text.

Good software and comments. Good description.

Software design evidencing thinking outside the box.

Data (20%)

No data available.

Some data available, but small unrepresentative sample. Little explanatory text.

Good data available with good visualisations. Good accompanying explanation.

Representative data from multiple related sensors. Great explanatory text.

Metadata (20%)

No metadata available, or formatting issues.

Reasonable metadata available on ThingSpeak, no formatting problems. Perhaps incomplete.

Good metadata thing description, fully described. Good accompanying explanation of the underlying RDF model.

Excellent thing description describing your smart thing and its sensors, published on ThingSpeak.

Write-up (20%)

Poorly explained, or way off word count..

Reasonable explanatory text, but weak on reflection.

Good explanatory text throughout, and structured reflection.

Excellent explanatory text and Harvard referencing.

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