US 2026/0097971 A1Published application

System and method for septage treatment with real-time optimization and predictive maintenance

AssigneeWater, Sanitation and Hygiene Institute (WASH Institute)

InventorArumugam Pillai Kalimuthu

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Abstract

The present invention relates to a system and method for treating septage utilizing advanced optimization and machine learning models. The system comprises multiple components, including a coagulation tank, a centrifuge module, and a filtration unit, all controlled by a processing unit that dynamically adjusts operational parameters based on real-time data. The method involves analyzing septage characteristics, optimizing chemical dosing, separating solids and liquids, and refining filtration processes to remove contaminants. The system also features predictive maintenance capabilities for critical components, ensuring efficient, continuous operation. As such, it provides a highly adaptive, intelligent solution for efficient septage treatment while ensuring compliance with water quality standards.

Claims10

Dependent claims

A system for treating septage, the system comprising:

an optimization module configured to analyze the characteristics of incoming septage, including organic content and nutrient levels;
a coagulation tank connected to a screen filter, configured to:
receive the rejected sludge from the screen filter;
and
apply chemicals on the rejected sludge through a chemical dosing unit connected to the coagulation tank;
a centrifuge module connected to the coagulation tank, configured to separate solids from liquids in the treated septage;
a filtration unit configured to process the separated liquid to remove residual contaminants;
and
a processing unit comprising a processor and memory, wherein the processor is configured to adjust the operational parameters of the coagulation unit, centrifuge module, and filtration unit based on real-time data collected during the treatment process.
a processing unit configured to:
receive real-time data from the coagulation tank, centrifuge module, and filtration unit,
adjust operational parameters, including chemical dosing concentration, centrifuge rotational speed, and filtration throughput, based on real-time data and historical performance metrics, and
employ machine learning model to adapt treatment protocols dynamically;

10 more elements

A method for treating septage, the method comprising:

analyzing the characteristics of incoming septage, including organic content and nutrient levels, using an optimization module;
receiving rejected sludge from a screen filter into a coagulation tank;
applying chemicals to the rejected sludge through a chemical dosing unit connected to the coagulation tank;
separating solids from liquids in the treated septage using a centrifuge module connected to the coagulation tank;
processing the separated liquid in a filtration unit to remove residual contaminants;
adjusting operational parameters of the coagulation unit, centrifuge module, and filtration unit based on real-time data collected during the treatment process using a processing unit;
receiving real-time data from the coagulation tank, centrifuge module, and filtration unit in the processing unit;
and
dynamically adapting treatment protocols based on real-time data and historical performance metrics using a machine learning model to adjust operational parameters, including chemical dosing concentration, centrifuge rotational speed, and filtration throughput.

6 more elements

Dependencies are inferred from the claim text.