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Smart Water Monitoring System with WatsonX

The goal is to model virtual sensors to determine water levels based on existing sensor reports in nearby proximity.

Components:

Water Sensors:

• These are electronic devices placed at various depths and locations in a water body.
• They measure the water level.

Communication Module:

• This sends data from the water sensors to a central server.
• It can be a wired or wireless system.

WatsonX Analytics Platform:

• A cloud-based system that receives, stores, and analyzes the data from the sensors.

USGS Sensor

This is a USGS stream sensor that reports water levels via NOAA Satellite.

GreenStream Sensor

This is a GreenStream Sensor that reports water level via LoRa/LoRaWAN or GSM.

USGS Water Sensor Map

This is a Map of Virginia Beach and shows the USGS sensors in blue and GreenStream sensors in green. These sensors were used to make the combined data for this experiment.

Procedure:

Sensor Installation:

• The water sensors are strategically installed in the water body.
• They continuously measure the water level and transmit this data to the WatsonX platform through the communication module.

Data Analysis:

• As data streams in, WatsonX processes it and determines the current water level trends.

Predictive Analytics:

• WatsonX uses historical data and current measurements to predict future water levels, identifying potential flood risks or drought conditions.

Alerts & Reporting:

• If the system identifies any anomalies or predicts potential issues, it sends alerts to concerned authorities or stakeholders. This allows them to take preventive measures.

Workflow:

References URLS

• 2023 Call for Code Global Challenge
• slack invite

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• first place $5k
• second place $2k?
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