In brief
Accurate management of the Sludge Volume Index (SVI) is a key challenge to ensure the quality of biological treatment in wastewater treatment plants.
PEPPS automated the monitoring of this critical parameter by combining computer vision, instrumentation, and intelligent data processing, enabling reliable, autonomous, and remotely accessible supervision.
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Automated SVI measurement for increased accuracy.
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Reduced manual on-site interventions.
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Local and remote data access via web interface and cloud.
THE CHALLENGE
Making SVI measurement reliable and automated
Before PEPPS’ intervention, SVI readings were taken manually, resulting in measurements that were often irregular, time-consuming, and poorly representative of actual process variations.
The client wanted to reduce repetitive tasks, improve measurement accuracy, and detect anomalies more quickly.
Key challenges :
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Obtaining reliable and consistent SVI readings.
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Minimising technical interventions on site.
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Facilitating data access and sharing for operators.
THE MISSION
Deploying a connected and intelligent solution
PEPPS designed a complete system integrating an industrial controller, sensors, a Python backend, and image analysis, with both local access and remote supervision.
The project team (backend developers, instrumentation engineers, and data specialists) worked on seamless component integration and on creating visualisation tools tailored to the client’s needs.
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Install an automated imaging system for sample capture, including dilution, cleaning, and power supply.
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Develop a Python backend (Flask) to orchestrate measurement cycles via REST APIs.
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Deploy image analysis algorithms to detect the sludge interface and calculate the SVI.
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Set up a dual database architecture (InfluxDB & PostgreSQL) along with a Grafana dashboard for local and cloud-based visualisation.
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Integrate a web frontend for local access and a cloud mode for remote supervision.
IMPACTS
The impacts of the automated system
Regular and accurate SVI monitoring
The system performs measurements at constant intervals, without interruption and with a high level of precision, ensuring reliable indicators.
Reduced on-site interventions
The solution operates autonomously, reducing operational workload and repetitive manual tasks.
Early anomaly detection
Real-time alerts enable teams to quickly identify deviations and take corrective action without delay.
Data centralisation and accessibility
All measurements are automatically stored in the cloud, accessible remotely, and usable for supervision, reporting, and continuous service improvement.
Why choose Pepps for the digitalisation of your infrastructure ?
Pepps works on industrial, energy, and environmental projects where reliability is essential.
Integration of machine learning solutions and complex sensor data analysis to anticipate malfunctions.
Interfaces designed for direct on-site use, even in environments with limited connectivity.
Centralisation of critical data and automated notifications to help prevent incidents.
Personalised support from system design through to ongoing maintenance.
Looking to automate the monitoring of your wastewater treatment facilities?
Do you want to improve the tracking of your performance indicators while reducing the operational workload of your teams?
PEPPS designs tailor-made digital solutions adapted to your technical constraints and business requirements, from the study phase through to on-site deployment.