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Developing a Smart Wheelie Bin

Michael Carr

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Overshoot Day

The day when the resources we use in a year exceeds what the Earth can regenerate.

  • 19th August 2014
  • 13th August 2015
  • 8th August 2016?

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Factors

  • Fossil fuels we consume
  • Increased food consumption
  • Waste management

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Internet of Things

  • Potential economic impact of $3.9 trillion to $11.1 trillion a year by 2025
  • Improve resource efficiency and reduce waste as well as convenience
  • e.g. Smart energy systems could save $1.2 trillion in US

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Waste Management Benefits

  • Some benefit can be seen in local authority systems.
  • BigBelly - A solar powered rubbish compacting bin that is suitable for use in public spaces.
  • SINTELUR - M2M sensor device that is capable of determining the filling level of waste in the containers.

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Current Household Waste Management Issues

  • Pressure to reduce collections to save budgets. Bury council estimate £862,000 saving per year by three weekly collections.
  • Confusing schedules on which bin is required which week.
  • Often forgotten to be moved for collection (students are prolific offenders).
  • Some bins may be overfull, others underfull.

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Possible Solution

  • An IoT device retrofitted to a household bin.
  • Array of sensors and actuators to monitor fill-level and location and provide feedback.
  • Algorithms analysing data captured on servers.
  • Smart-phone application to interact with the device.

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Reminders

  • User indicates storage and collection locations.
  • If not moved, reminder sent to mobile phone.
  • Ability to cope with confusing schedules.
  • Automatic updating of schedule by councils.

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In-App Education

  • User data stored on a server.
  • Algorithms able to identify the frequency of an overly full bin.
  • In-app education then provided on which items to recycle.
  • Or information on how to contact the council to request an additional bin provided or ask for further information.

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Safety Monitoring

  • Record of when last moved.
  • Record of when last filled.
  • If user from an at risk category, e.g OAPs, & no movement recorded.
  • Contact can be made to check on welfare.

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Business Use

  • Food related businesses (restaurants, supermarkets etc.) often employ external contractors to collect waste.
  • Installing a similar system would allow collections only to be made when required.
  • Remote monitoring of the fill level by contractor would allow for more autonomous process.
  • Save money and time on collections when not required.
  • Improve hygiene and space issues when collections are needed.

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The Internet of Bins

  • Night before collection, a user with free space is asked:

Would you like to share this space?

  • If yes, a notification is broadcast to other users of the system within the neighbourhood to make them aware of free space.
  • Users receive rewards for sharing their empty space, such as points, badges etc.
  • If in conjunction with the local authority, could be tangible, monetary rewards.

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Prototype

  • Indicate how full the bin is
  • Identify whether it is in collection or storage zones
  • Remind the user when not in one of these zones at specified time
  • Customise settings and view the bin’s status through an Android app

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Technical Components

  • An Arduino microcontroller in the bin controlling:
    • An ultrasonic range finder in the bin that detects the distance of objects from itself
    • An Adafruit Ultimate Breakout GPS module (with external antenna) which provides lat lng data
  • A Digi Series 2 XBee (XB-Z24) module in the bin that allows communication over Zigbee.
  • A Digi Series 2 XBee (XB-Z24) attached to a Raspberry Pi Version 2 for the hub.
    • Originally a Samsung SmartThings hub but due to difficulties, swapped to get a working prototype to demonstrate.
  • An Android application to request an update and view data.

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Order of Communication

INSERT DIAGRAM

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Android Application

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Reasoning

  • Hub used to reduce processing power needed in bin.
  • Arduino was chosen due to popularity and ease of development.
  • ZigBee was chosen due to high range, low power and mesh network topology.
  • SmartThings was originally chosen due to it’s ZigBee compatibility and developer community.
  • An Android app was chosen due to existing knowledge of development.
  • GPS was chosen as it is able to identify where the bin is at all times, not just in specific locations (like with RFID tags).

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Power-Saving

  • Only XBee module always-on
  • Uses 21 mAh, equates to 54 days battery life from 6 x AA batteries.
  • When data is received, the XBee module uses a relay circuit to power on the Arduino.
  • Once readings are got, or the GPS timeout has been reached, the Arduino powers off.
  • This read uses 103 mAh power.
  • Battery life will vary based on amount of reads requested.

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Proprietary vs Open-Source

  • Difficulties throughout due to lack of transparency from Samsung SmartThings.
  • Two weeks before final deadline, system stopped communicating with the hub.
  • Access to the code that registers devices, or more accessible system logs may have helped solve this.
  • To get a working prototype, a Raspberry Pi running a server was used to send a request using another XBee module.
  • Ideally, an open-source hub with support for multiple wireless connection standards would be used.

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Live Demo