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MeWater

MeWater is a water conservation solution that uses IoT Devices (Solenoid Valves, Flow Meters, etc) to detect and monitor water leakages in realtime. The system auto-shuts down detected leakage lines thus saving on water.
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I would ideally share this architecture via Infrastructure as Code such as AWS Cloudformation or Terraform. But I'll deliver that sometime in the future as I iterate and improve on the architecture.

There are 4 major functions that this architecture serves:

1. Getting IoT Data from IoT Core and Storing it in an S3 Bucket (Raw)
2. Processing the raw data into something useful to display to end-users
3. Sending alerts to users in case a leak is detected
4. Sending 'valve shutdown' command to IoT Devices in case a leak is detected

We use an IoT rule provided by AWS IoT Core to push data from a subscribed MQTT topic to an S3 Bucket.

A lambda function sits at the heart of our solution. It takes the data from S3 via a trigger event (anytime data is pushed into the bucket, it's immediately processed) -> we were aiming for a realtime solution

The processed data is stored in a DynamoDB Table, which allows for near-realtime queries.

We've then set up an EC2 Instance to serve our web application where users can view a live dashboard allowing them to monitor the system status. The web-app access our DynamoDB Table via the Python Boto3 SDK.

The current leakage detection algorithm is a poor man's version, in that we only subtract output water volumes from the input. We are working on a more sophisticated algorithm.

leaked_volume = inlet_volume - (outlet1_volume + outlet2_volume)

Once a leakage is detected, the lambda pushes a message with the leakage info to an AWS SNS Topic.

• Another Lambda function is subscribed to this topic and this function sends a command to the IoT Devices via AWS IoT Core to shutdown the valves thus stopping the water leak
• An SMS is sent to the user informing them of the detected leak
• An Email is sent to the user informing them of the detected leak

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• Use AWS Secrets Manager to securely store environment variables
• Use Kinesis Data Analytics to analyze IoT realtime events
• Build an API to query the Raw Data -> AWS API Gateway

See the open issues for a full list of proposed features (and known issues).

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Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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Distributed under the MIT License. See LICENSE.txt for more information.

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Lenny Ng'ang'a - @codewithlenny - [email protected]

Project Link: https://github.com/codewithlennylen/mewater-cloud

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• Fanuel Conrad - IoT Lead

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