Collecting and Visualizing Real Time Environment Data in the City of Charlottetown

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Collecting and Visualizing Real Time Environment Data in the City of Charlottetown Atlantic Association of Planning Technicians June 12, 2019 Peter Rukavina Reinvented Inc., Charlottetown https://ruk.ca/

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The Story Begins I became interested in where we get our electricity on Prince Edward Island.

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Electricity Flow

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https://tso.nbpower.com/Public/en/SystemInformation_realtime.asp

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Golf at 50BPM by user707748013 50 MW 50 BPM

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W&W - Bigfoot (Uriel M Deephouse Remix) by urielm 122 MW 122 BPM

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Wind Energy

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155% of our electricity load from the wind 10:30 p.m. 7:30 a.m. 8 Hours

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Home Electricity   and Water

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Taking Stock

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• Sensors are cheap, and there are a lot of things we can measure. • Being peripherally aware of things we can measure can positively alter our behaviour. • Data communication via wiﬁ is a technical and support challenge, and doesn’t scale.

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Measure Your City

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LoRaWAN • LoRa = Long Range (and low power) • LoRaWAN is a networking protocol for connecting gateways and devices. • Excellent for transmitting small amounts of data over long distances with little power. • Helps solve the “data communication over wiﬁ is a customer support nightmare” issue. • Helps solve the “wiﬁ devices use a lot of power” issue.

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SNACKS Sensor Network Around Charlottetown’s Key Surroundings

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SNACKS Stack • Sensor nodes (low-powered Arduino boards) broadcast readings, which are picked up by strategically-placed The Things Network gateways. • Gateways send readings to The Things Network. • Application on The Things Network sends readings to Amazon IoT service where they are archived in a database. • A web application visualizes the archived readings.

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SNACKS Challenges • Battery management in oﬀ-the-shelf LoRaWAN-equipped Arduino devices isn’t great (~2 weeks battery life or less). • “Onboarding” a new sensor node is more complicated than it needs to be. • Visualization technique hasn’t been real-world-tested yet, so we don’t know if it’s optimal.

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SNACKS Next • Work on battery life issues (possibly adopting Amersfoort’s custom board). • Look at a broader range of sensors (particulate matter, solar radiation, radon, sound, etc.) • Explore the possibilities of using LoRaWAN to manage water and electricity meters at scale. • Roll out devices to citizens and start to gather data. • Continue to be curious.

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Thank you. Slides at https://l.ruk.ca/aapt