LG Sonic’s Alg.Ai analyses water data and makes accurate predictions using the latest tools in the field of statistics, Machine Learning (ML), Deep Learning (DL) and Artificial Intelligence (AI). Making sure that you are always one step ahead.
Digital Twin of
Surface Water
Enhance your water management through a digital representation of your physical water body to improve operations, decision-making, and efficiency.
Real-time data collection
Advanced water quality software
SCADA integration
1 million daily data sets to improve the performance of your water
Smarter water management
The water treatment industry is transforming and becoming digital. Digital twins are a combination Internet of Things (IoT) sensors, and Artificial Intelligence (AI) to provide insights into a water system in a digital format. They improve operations, reduce risk and enhance decision-making using automation.
LG Sonic’s Digital Twin allows you to:
- Digitalize your water body
- Predict performance
- Enhance decision-making
- Improve operational efficiency
Data collection technologies
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1. Remote sensing
LG Sonic uses NASA and ESA satellite data to map algae directly from space. Allowing you to see and compare historic algae growth trends of your water body.
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2. Weather data
Enables more accurate algal bloom predictions by integrating local weather data into your MPC-Buoy and MPC-View software.
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3. In-Situ monitoring
Provides a complete overview of the water quality by collecting key algae and water quality parameters in real-time.
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4. Vertical profiling
Reliable, and fully-automated water quality measuring at multiple depths throughout the entire water column.
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5. Bathymetric data
Satellite-derived bathymetric (SDB) data provides information about the depths and shapes of underwater terrain.
Converting data into information
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Artificial intelligence
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Visualization
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Data security
Transforming water treatment
Take control of your water quality
MPC-View is a Cloud water quality software that provides all important water quality data at a glance. Users can set up alerts for specific parameter exceedances, and visualize results in real-time. Easy to use and customizable to your preferences.
Privacy and security policies
LG Sonic’s data security strategies protect water quality information assets against human error and unwanted access. Encryption and automated back-up systems are the core of making sure your water quality data is safe and secured.
Treatment and monitoring products
Vertical Profiler
The most accurate and cost-efficient way to measure the entire water column.
MPC-Buoy
MPC-Buoy is a complete solution for monitoring, predicting, and controlling harmful algal blooms in large water surfaces.
Monitoring Buoy
Predict algal blooms and monitor water quality in real-time.
Digital Twin
Enhance your water management through a digital twin representation of your water.
Frequently Asked Questions
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What exactly is a digital twin of a water body, and what does it do for us?
A digital twin is a live digital representation of your physical water body, built by combining Internet of Things (IoT) sensors with artificial intelligence to model how the water system behaves. In practice, it lets you digitalize your water body, predict its performance, and make decisions from data rather than guesswork. For an operator, the value is operational: it improves efficiency, reduces risk, and supports decision-making through automation, turning the raw data your monitoring already collects into forecasts and clear insight. -
Where does the data come from, and how comprehensive is it?
The Digital Twin draws on five data sources for a complete picture: satellite remote sensing (using NASA and ESA data to map algae from space and compare historic growth trends), local weather data for more accurate bloom prediction, in-situ real-time monitoring of water quality parameters, vertical profiling across the full water column at multiple depths, and satellite-derived bathymetric data on the shape and depth of the underwater terrain. Together these generate around one million data sets per day, giving you far more resolution than periodic manual sampling can provide. -
How does it help us predict and prevent algal blooms rather than just react?
The system's AI engine, Alg.Ai, analyses your water data and produces predictions using statistics, machine learning, deep learning, and AI. Combined with satellite algae mapping and integrated weather data, this lets you anticipate bloom conditions before they develop rather than responding after the fact. For a utility or reservoir operator, that forward view is the difference between a planned intervention and an emergency one, and it lets you direct treatment and resources where the model shows they will be needed. -
Does it integrate with our existing systems?
Yes. The Digital Twin supports SCADA integration and delivers its data and insights through MPC-View, a cloud-based water quality software that presents all your key data at a glance. You can set alerts for specific parameter exceedances and visualize results in real time, and access it from anywhere. This means the twin's predictions and monitoring feed into the operational systems your team already uses, rather than sitting in a separate silo. -
How is our water quality data kept secure?
LG Sonic's data security approach is built to protect your water quality information against both human error and unauthorized access. Encryption and automated backup systems are core to that, keeping your data safe, backed up, and secured. For utilities and government operators handling sensitive infrastructure data, this matters as much as the analytics themselves, and it's a standard part of the platform rather than an add-on.