Breakthrough insights for wastewater treatment plants

Our solutions

Chasing down infiltration and inflow

With advanced machine learning, Guard Treat Smart optimizes dosage of precipitant chemicals in wastewater treatment plants. The product also provides continuous insight into the percentage of infiltration and inflow water, detention time in the treatment process and predict future flow quantities with high precision.

Read more about our breakthrough model and how we utilize more external factors than any other solution on the market.

Value contribution

> Reduced chemical consumption and time spent

> Improved maintenance of cleaning requirements

> Predictive analysis of future flow

> Historical analysis of percentage of foreign water

> Predictable chemical consumption

> Virtual sensors and measurement of detention time

Modus operandi

Guard Treat Smart is developed based on empirical data from a wide selection of wastewater treatment plants across Norway. Through advanced data analyses of the plants’ process variables and their correlation with external factors, such as meteorological, hydrological and demographic data, as well as time, place and season, a cloud based and adaptive model for optimising operations has been constructed.
Data-driven model

> Resulting from large quantities of process data
> Natural seasonal, day and weekday variations
> Temperature, rain, snow and snow melting over time
> Ground water level, sea level and soil moisture

With the aid of a local unit, which is easily connected to any control system, the cloud based model receives encrypted real-time data from the wastewater treatment plant. This information is then compared with the current predicted external factors that demonstrably impact the quantity and composition of the wastewater. Based on this, the cloud-based algorithm decomposes the flow rate and returns information about the current and future recommended chemical dosage, the percentage of infiltration and inflow at any time as well as other useful insight such as virtual measurements.
Historical and predictive insight

> Recommended chemical dosing
> Percentage of infiltration and inflow
> Virtual measurements

The recommended chemical dosing is calculated as a function of the wastewater concentration and theoretical models for optimal amount of precipitation chemical for the given scenario. The recommendation is automatically transferred to the local control system, and in the unlikely event of internet outage, the predictive recommendations will form the basis for the dosage control until contact with the cloud service is restored. The cloud service will also adapt itself to demographical and process engineering changes over time with the aid of self-learning algorithms.
Simple and robust installation

> Ready to integrate with existing control system
> Resistance to internet outage
> Self-learning algorithm for continuous improvement
> No need for additional instrumentation

More informed decisions

Increased insight into the wastewater will contribute to both the organization and technology being able to make more informed decisions. For example, insight into future flow quantities as a result of precipitation, melted snow or storm surge will form a solid basis for preparing the infrastructure for the coming quantities. This can be done by utilizing the buffer capacity in both pumping stations and treatment plants, thus achieving the most even and controlled wastewater treatment process possible even during extreme situations.

Furthermore, continuous measurements of the percentage of infiltration and inflow could be used to analyze developments on the state of the sewer network over time, measure the effect of improvement measures and, not least, serve as a basis for decision making as to how investments should be made in expanding treatment capacity or improving the sewer network.

As a biproduct of the data analysis, Guard Treat Smart can also estimate a selection of process variables without the use of physical sensors with the associated investment cost and use of resources for maintenance. This can include variables such as turbidity, pH and wastewater detention period in the plant. Such information can be very valuable to determining whether the treatment process operates within the specification.

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