How to 'Watomate': Discover the Role of Automation in Waste–Water Treatment

Related Vendors

DÜPERTHAL Sicherheitstechnik GmbH & Co. KG

EDL Anlagenbau Gesellschaft mbH

ProMinent GmbH

Automation in wastewater management still has a long way to go as Goel explains, “The need for wastewater management is widely accepted, but more often than not it is accorded merely as a lip service. Even when automation is carried out, it is only for a small portion of the total potential.” Adding to this point, Chief Operating Officer, EcoAxis (a part of the A.T.E. Group), Vinod Vaswani mentions, “Today, automation in wastewater management is primarily focused on locally controlling the plant operations and to meet regulatory requirements.”

The Must-Have Apps for Automation

Gallery with 53 images

Demand Drivers for Automation in Wastewater Treatment

With the Central Pollution Control Board tightening zero liquid discharge (a water treatment process in which all wastewater is purified and recycled; leaving zero discharge at the end of the treatment cycle) norms in the country and trying to bring them under 24X7 monitoring, the demand for automation in this industry is on a rise.

Supporting this, Kasinathan says, “Zero discharge requirements as per government guidelines and the exponential increase in the urban population are correspondingly pushing up the demand for wastewater management.” In addition to this, Goel adds, “Increasing costs as well as unavailability of manpower and the need for higher reliability are the main demand drivers for the automation segment involved in the wastewater management process.” Owing to these factors, automation players are steadily increasing their share in the wastewater industry.

A Question to ...

Experts Answer Current Issues in Filtration Technology

Plus Points of Watomate

Currently, the maximum demand for automation in the sector comes from the urban water sewerage treatment segment and industrial segments. Vaswani mentions, “There is a demand to use automated analytics to help improve the plants’ operations, maintenance, and performance as well as predict adverse conditions such as impending failures or abnormal process conditions in advance.”

(ID:43589866)