If you leave the sewer lining untreated, you’ll only have yourself to blame if the health of the families takes a turn for the worse. Leaking sewage lines cause sewer gas odor, and decrease draining capacity of toilet flush.

If the main line running under your slab develops a leak that goes untreated for a prolonged period of time, a void may develop under the foundation or in the yard. More extreme symptoms of sewer pipe deterioration include foundation issues such as cracks in your foundation slab, foundation settlement, and in some cases sinkholes. An insect infestation may also be a symptom of a broken sewer line. A cracked sewer pipe behind a wall can cause the humidity levels to rise to a point suitable for a mold problem to begin. Damp and mold spores can cause an array of health problems while children and seniors are at the highest risk. This alone should tell you that extended exposure is not an option.

We have developed a solution not only to detect the leakages in the sewage pipelines, but also to optimize the sewage treatment, so you can easily and happily decrease 70% of your water waste and recycle it.

Remote Monitoring and Optimization of Membrane Bio Reactor Sewage Treatment Eco-system using Machine Learning

The safety and accessibility of sewage treated water are also major concerns throughout the globe. The conventional method of challenging the quality of water is to collect samples manually and send them to laboratory for water quality check. However, it has been unable to reach the water quality examining today. Sewage treatment and recycling is not being practiced as well as popular due to:

a) Technological Limitation imposed due to foul smelling of sewage treated water and its inapt quality standards,

b) High Maintenance cost of Sewage Treatment Plants (STPs) due to requirement of skilled technician to be present on board at the location for monitoring of plant,

c) High Manufacturing and Capital cost of STPs.

The proposed solution consists of RISC V ISA Technology based 64-bit VEGA AS1061 microprocessor embedded system design with the help of Xilinx Artix7 100T FPGA board for enabling complete automation of the Membrane Bio-Reactor Sewage Treatment Plant and water distribution leakage detection system, using IoT and Machine Learning.

Collection of IoT sensors collectively referred to as nodes, one node at the onset of sewage treated water distribution system (called Source Node), and other one at the endpoint, i.e. at each of the houses in water distribution system (called Tail Nodes). Our proposed solution is the first MBR STP (Sewage Treatment Plant) in India to integrate Machine Learning, Tenserflow and Reinforcement Learning.