The ability to remote monitor river and stream levels is possible with IoT technology. IoT allows you to monitor river or creek levels in multiple locations remotely, and the data can be transmitted back wirelessly in real-time. This blog post looks at the components and sensors required to monitor river or creek levels.
The three most common sensors used to measure river levels with IoT are ultrasonic, radar and depth sensors. In this post, we are going to focus on the use of ultrasonic sensors.
To provide a simple explanation, we have broken the solution into Sensors, Network and Cloud.
- Libelium Plug&Sense (Smart Water Xtreme or Smart Cities), with the Ultrasonic Sensor (Maxbotix MB7040). A radar sensor can be used in place of the ultrasonic sensor, with the added benefit of increased accuracy and range.
- Milesight EM500-UDL sensors incorporate a Maxbotix sensor, 19,000mAh battery and LoRaWAN. The IP67 sensor can be rapidly deployed and are suitable for harsh environments.
- Network. The Libelium Plug&Sense supports LoRaWAN and cellular 3G/4G. For remote locations, there is also the option of using a LoRaWAN-Satellite gateway.
- Cloud. A range of cloud platforms is supported. The most common platforms we work with include Microsoft Azure, AWS, custom web applications and conventional database systems.
For this scenario, we will be using ultrasonic distance sensors. You may also want to include temperature, humidity and pressure, a weather station, and a water-flow meter for river applications.
An ultrasonic sensor emits sound toward an object and detects the sound reflecting to determine distance. The sensor then measures the time between each point to determine the distance between the sensor and the measured object. The sound emitted by the sensor is at a high frequency, inaudible to the human ear, but it allows for a focused ‘beam’ (42KHz).
A typical ultrasonic sensor can measure the distance from 30cm to 10m – with an accuracy of 1cm throughout this range. Sampling intervals can be as little as one minute, but ten minutes is more common.
How do I power the sensor?
The Libelium Plug&Sense includes a built-in 6000mA-H battery and support for an external solar panel. Using batteries and renewables allows the sensor nodes to be deployed in remote environments.
Milesight UDL-5000 is entirely battery-powered, with no requirement for solar panels or external power.
Wireless technologies such as LoRaWAN and 3G/4G are supported by the Libelium Plug & Sense. The flexible range of options allows you to choose the right wireless technology to send data back to your systems or application servers. For very remote locations, a technology such as LoRaWAN (supported by the node) and a LoRaWAN-Satellite gateway allow water monitoring from anywhere in the world.
Data from the sensors (once transmitted) needs to be processed and stored. The use of cloud platforms such as Microsoft Azure is perfect for IoT. However, the platform supports sending data to Azure, AWS and familiar application/database servers.
If you prefer an easy-to-use, customisable solution – we also support Datacake and Milesight Cloud.
Once in the cloud, you can develop additional functionality such as alerting and notifications (i.e. if the river level exceeds a given level or there is an upwards/downwards trend of significance).
Remote water level monitoring solution
The Sensor node is attached to a river structure such as a bridge or installed on a pole adjacent to the river that needs to be monitored. The Ultrasonic sensor is connected to the node and installed above the body of water. At this point, the sensor will measure the distance between itself and the body of water.
If you know the river’s depth at this point – any increase or decrease in the sensor value (i.e., 25cm) would indicate a reduction in water levels, while any increase (+15cm) would suggest an increase in water levels.
The sensor node will transmit this measurement back to the cloud platform. Measurement intervals can be as few seconds, but a practical range would be every 15 minutes. For higher-risk rivers or where pre-emptive flood detection is needed – you may want to measure levels every minute.
The only disadvantage of more aggressive sampling intervals is the battery life of the sensor node. More measurements mean more power consumption – an important consideration if the battery and solar panels power the sensor node.
Alert and notifications
Once the data is in a cloud platform, applications can be developed that do the following:
- Visualise the water-level data on a dashboard.
- Send text messages when water levels exceed a given value.
- Generate alerts (text or e-mail) when the water levels increase at a given gradient.
- Send messages via Slack, Microsoft Teams or WhatsApp when thresholds are exceeded.
- Combine reports with weather data to understand the correlation and risk factors associated with water levels and weather.
Early warning flood monitoring
It is easy to see how remote water level monitoring can also be used in flood monitoring and flood protection scenarios:
- Sensors can be deployed throughout the Long Profile of a river or river network (i.e. lower, middle and upper courses).
- IoT sensors can monitor levels of rivers, lakes and streams throughout the network.
- River sensors can be combined with weather stations to monitor rainfall.
- The rate at which river levels increase throughout the network can be monitored in real-time.
It is possible to monitor river velocity and flow using radar planar microwave technology with doppler radar technology.
River flow/streamflow monitoring
When level sensors are combined with flow sensors, it is possible to calculate the volume of water flowing down a river. Monitoring river flow is covered in the following article.
Digital Twins – Rivers
Digital Twins can use the data arising from sensors to create detailed models of river systems. IoT technology can be the foundation of a Digital Twin solution when coupled with data analysis, machine learning, artificial intelligence (AI) and visualisation tools.
Digital Twins can incorporate additional sensors into their modelling:
- Soil moisture sensors at different depths allow you to monitor the status of the water table.
- Weather stations allow accurate data analysis such as rainfall, pressure, temperature, wind and solar radiation.
- External data sources such as topographic and terrain data.
Data visualisation and reporting
The data collected from IoT sensors can be used for detailed data analysis and reporting. Depending on the choice of platform, data can be brought into common database platforms such as Microsoft SQL Server or MySQL.
The data can be visualised using Power BI, Tableau and Zoho Analytics tools. For simpler use-cases, data can be downloaded in CSV or Excel format.
- River level sensor – Ultrasonic, radar and pressure sensors.
- Weather stations – Rainfall, wind, solar radiation, pressure and temperature.
- Turbidity, ORP, Dissolved Oxygen
- Soil moisture sensors – available at different depths
- River flow and velocity sensors – Radar/Doppler sensors
What else can I monitor?
In addition to water levels, we can monitor a wide range of parameters associated with water, such as pH, ORP, Dissolved Oxygen, BOD/COD and conductivity. To learn more, review the following blog posts:
- Smart Water with IoT
- River flow and streamflow monitoring with IoT
- Monitoring Turbidity with IoT
- Monitoring water quality with IoT and Microsoft Azure
IoT is an excellent solution for remote monitoring river levels in a high-accuracy manner. Ultrasonic sensors, Milesight and the Libelium Plug&Sense offer a field-proven and reliable solution that supports a range of communications technologies.
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