Background

As part of Singapore Government nation wide campaign on building a Smart Nation, SUTD is embarking on making its campus to be the playground of Smart Nation. The President and the Provost is asking students to submit proposal for a smart green housing and neighbourhood that can be deployed in the campus housing or HDB and its neighbourhood.

Scope

The emission of gases that deplete the earth’s ozone layer, and other forms of environment pollution, are seriously affecting life on this planet. The effects range from climate change to the destruction of flora and fauna. We are seeing the rapid progression of global warming and its effects on global climate, weather changing patterns, unexpected swings of temperature, floods, cyclones, droughts and forest fires. The rapid decay of the environmental situation was caused by numerous factors such as consumption of fossil fuels, deforestation and destruction of the natural green canopy, chemical pollution of atmosphere, waterways and reservoirs, destruction of marine life both inland and oceanic, and so on.

The objective of this project is to build prototypes that helps to save the environment using technology applied to houses and neighborhood facilities. Your project must select an area of environmental problems to solve which can be tried on SUTD campus. The system must be field deployable, with a minimal reliance on electricity. It may be mobile or fixed.

Broad categories of areas that could be explored:
  • Atmospheric pollution, water contamination, or other pollution leading to destruction of its surrounding environment.
  • Factors leading to extra pollution in cities and towns (eg. Traffic volume). Transportation monitoring and management system.
  • Incentivize “green behavior” in manufacturing and transportation industries.
  • Practical educational aids to various age groups and professions showing live demonstration of effect of “greener procedures”.
  • Indoor and outdoor “green farms”.
  • Electricity or water conservation and management in houses, offices, or neighborhood.
  • Waste management in houses and neighborhood.
  • Eco-living from commuting, entertainment, and other aspects of life.
  • Green and sustainable technologies for buildings.

Grouping

Students are to complete the project in a group of 5 to 6 person. Put in your group details in this form: 1D grouping form

Starter Kits

Each group is given a starter kit, containing:
  • 2 Raspberry Pi
  • Wireless keyboard and mouse
  • 7'' LCD screen
  • Wifi and bluetooth dongle
  • T-Cobbler
  • Ultrasonic sensor
  • Basic electronic components:
    • LEDs
    • Switches
    • Push buttons
    • Resistors
    • Jumper wires
    • Breadboard

Part I

Tasks

  • Define the problem you wish to solve in making a smart green housing and neighbourhood.
  • Propose a solution to solve the problem and how the solution make use of the "smart"-ness of technology. The proposed solution must make use of GUI interface using Kivy. The proposed solution must make use of either Thymio or Raspberry-Pi or both. You can also make use all the components given in the starter kit for your prototype. The smartness of your solution should involve data analysis and prediction using regression and/or supervised classification (bonus point).
  • Research on propose solutions and what are the components needed. Check whether it can work with the existing platform given (either Thymio or Raspberry-Pi).
  • Plan items to purchase besides those given in a starter kit. Each group is given a claimable budget of $50.

Deliverables

  • Week 6:
    • Submit Powerpoint slide to eDimension before your third session. No grades will be given for the Presentation if you have not submitted the slide.
    • Presentation (7 min) of the problem and proposed solutions as well as the planned budget purchase.

Grading

Percentage out of total DW grade: 1/100
Maximum Points given for this part: 20 points

Rubrics

Items
0-2 pts
2-4 pts
4-5 pts

Utility
Students do not make use of any sensor or actuator available in Thymio or R-Pi
Students make use of one sensor or actuator available in either Thymio or R-Pi.
Students make use of more than one sensors or actuators available in either Thymio or R-Pi or both.

Problem Definition
Students do not solve interesting real-world problem.
Students solved a real-world problem.
Students solved interesting and real-world problem. Students define and clarify the scope well. The problem is aligned with the theme "smart green housing and neighbourhood".

Solutions
Solutions proposed provide little help to solve the problem.
Solutions proposed helps to solve the problem. Solutions are feasible.
Solutions proposed helps to solve the problem, are creative and impactful. Solutions are feasible.
Students are able to justify why the solution is aligned with the theme "
smart green housing and neighbourhood". Solutions make use of the concept internet-of-things. (Solutions have some "smartness" using data analysis and prediction. This is optional and only graded on Part II when it is successfully implemented)

Presentation
Students did not present or presentation is not prepared well.
Presentations are prepared and structured, covers all the necessary items. All members in the teams are involved during the presentation.
Presentations are prepared and structured, covers all the necessary items. All members in the teams are involved during the presentation. Visuals are appropriate and engaging. It has good opening, state the problem clearly, propose impactful solution.


Part II

Tasks

  • Build a prototype implementing your proposed solutions.
  • Implement the GUI for the mobile components using Kivy as its GUI library.
  • Apply some data analysis and prediction to make the solutions smarter.

Deliverables

  • Week 13:
    • Demo prototype or proof of concept on your third session in Week 13. Venue: Respective Cohort Classrooms.
    • Poster submission
  • Week 14:
    • Return all 1D items and submit claim for extra purchase to Sarah or Zainab on 24th of April 2018 at Digital Systems Lab (2.412).
      • Cohort 1 and 2: 10am to 11am
      • Cohort 3 and 4: 1:30pm to 2:30pm
      • Cohort 5 and 6: 2:30pm to 3:30pm
      • Cohort 7 and 8: 3:30pm to 4:30pm
      • Cohort 9: 4:30 to 5:30pm

Submission

Each group is to submit the following through eDimension:
  • All Python codes (Thymio, Pi, Kivy, etc)
  • A0 Poster in PDF containing:
    • background and problems to be solved
    • proposed solutions
    • how to use the mobile application, how the system works, UI of the mobile application, etc
    • Schematics or diagram of the whole system and individual components of the system
    • Benefits of the proposed solutions

Grading

Percentage out of total DW grade: 8/100.
Maximum points given for this project: 25 points.

Rubrics

Items
0-2 pts
2-4 pts
4-5 pts

Mobile User Interface
User interface is not appropriate.
User interface is appropriate and serves the functionality.
User interface is appropriate and serves the functionality. Design is clean, simple, and beautiful. Visually engaging.

Prototype of the system
Prototype is not appropriate or not working.
Prototype shows the solution and how it works.
Prototype shows the solution and how it works. Student spends effort to make the prototype as real as possible. Prototype is close to final product or system.

Poster
Students did not submit poster or poster is of low quality and without any significant content.
Students present the problems and the solutions in the poster. Poster includes the necessary components.
Students present the problems and the solutions in the poster. Poster includes the necessary components. Visuals and designs are appropriate, clear, clean, and engaging.

Code
Students codes are not organized and difficult to read.
Students codes are modularized.
Students codes are tidy, modularized, efficient, commented well, and easy to read.

Demo
Students did not manage to demo or present the problem and the solutions poorly.
Students managed to demo the working prototype. Students present the problem and the solution.
Students successfully demo the working prototype of the system. Students present the problem and the solution in an interesting, professional, and engaging manner.

Bonus Rubrics
Percentage out of total DW grade: 1/100.
Maximum points given for this project: 5 points.
items
0-2 pts
2-4 pts
4-5 pts
Smartness
Solutions do not have any analysis and prediction
Solutions contains simple analysis and no or little prediction using machine learning.
Solutions contains analysis and able to provide smart prediction using machine learning techniques.

Claim Submission


Points to Note for Claim:
  • You need to submit the claim form with their original physical receipts. Pass it to Sarah or Zainab on the day when you return the kit.
  • Paste your receipts on an A4 size paper.
  • You can purchase any items related to the projects within the $50 budget. The items can be sensors, actuators, wires, etc. You can purchase these from SgBotic or RS-Online, or any other shop. You can also purchase stuffs for your prototyping purposes like styrofoam, cardboxes, etc.
  • Stationaries such as papers, scissors, cutters, glues, etc are NOT claimable.

References