IoTreat® optimises a 5 MLD SBR sewage treatment plant for Davanagere Municipal Corporation
AI-driven cycle automation and intelligent aeration reduce energy consumption by 9%, cut operators by 43%, and eliminate 30 tonnes of COâ‚‚ annually.
Davanagere Municipal Corporation operates a 5 MLD Sequencing Batch Reactor (SBR) Sewage Treatment Plant serving the city's urban wastewater needs. Facing mounting pressure to reduce operational costs and improve infrastructure efficiency, the corporation sought to modernise plant operations — which were running on fixed aeration schedules, manual monitoring, and heavily operator-dependent processes with no real-time visibility.
Challenge
The SBR plant's aeration cycles ran on fixed timers regardless of actual sewage load, resulting in consistent energy waste and process inefficiency. Seven operators were required to manage daily operations, making decisions based on experience rather than data. There was no centralised dashboard, no anomaly detection, and no mechanism for the plant to adapt to varying influent conditions — a fundamental limitation for a public utility expected to perform reliably around the clock.
Solution
ParyAI deployed IoTreat®, its AI and IIoT autonomous platform, to digitally transform the plant's operations. SBR cycle stages — fill, react, settle, and decant — were fully automated, with intelligent aeration control adjusting in real time based on load conditions. IoT sensors were installed across critical process points, feeding into a centralised dashboard that gave operators live plant visibility for the first time. AI-driven insights flagged anomalies and guided operational decisions, replacing guesswork with data.
Outcome
Energy consumption fell from 1,067 to 968 kWh per day — saving approximately 99 kWh daily through optimised aeration and cycle efficiency. Operator requirements reduced from 7 to 4, a 43% reduction enabled by automation absorbing routine monitoring and decision-making tasks. The energy savings translate directly into a carbon impact: at 0.82 kg COâ‚‚ per kWh, the plant now avoids approximately 81 kg of COâ‚‚ every day — around 29–30 tonnes per year, equivalent to planting over 1,300 trees annually. For Davanagere Municipal Corporation, the result is a public STP that runs smarter, costs less, and performs more consistently — without adding headcount or infrastructure.
IoTreat® optimises a 5 MLD SBR sewage treatment plant for Davanagere Municipal Corporation
AI-driven cycle automation and intelligent aeration reduce energy consumption by 9%, cut operators by 43%, and eliminate 30 tonnes of COâ‚‚ annually.
Davanagere Municipal Corporation operates a 5 MLD Sequencing Batch Reactor (SBR) Sewage Treatment Plant serving the city's urban wastewater needs. Facing mounting pressure to reduce operational costs and improve infrastructure efficiency, the corporation sought to modernise plant operations — which were running on fixed aeration schedules, manual monitoring, and heavily operator-dependent processes with no real-time visibility.
Challenge
The SBR plant's aeration cycles ran on fixed timers regardless of actual sewage load, resulting in consistent energy waste and process inefficiency. Seven operators were required to manage daily operations, making decisions based on experience rather than data. There was no centralised dashboard, no anomaly detection, and no mechanism for the plant to adapt to varying influent conditions — a fundamental limitation for a public utility expected to perform reliably around the clock.
Solution
ParyAI deployed IoTreat®, its AI and IIoT autonomous platform, to digitally transform the plant's operations. SBR cycle stages — fill, react, settle, and decant — were fully automated, with intelligent aeration control adjusting in real time based on load conditions. IoT sensors were installed across critical process points, feeding into a centralised dashboard that gave operators live plant visibility for the first time. AI-driven insights flagged anomalies and guided operational decisions, replacing guesswork with data.
Outcome
Energy consumption fell from 1,067 to 968 kWh per day — saving approximately 99 kWh daily through optimised aeration and cycle efficiency. Operator requirements reduced from 7 to 4, a 43% reduction enabled by automation absorbing routine monitoring and decision-making tasks. The energy savings translate directly into a carbon impact: at 0.82 kg COâ‚‚ per kWh, the plant now avoids approximately 81 kg of COâ‚‚ every day — around 29–30 tonnes per year, equivalent to planting over 1,300 trees annually. For Davanagere Municipal Corporation, the result is a public STP that runs smarter, costs less, and performs more consistently — without adding headcount or infrastructure.