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AI Start-Up Gives Sustainable Wastewater Management A High-Tech Refresh

Real-time, intelligent data from wastewater treatment systems close the gap between business exigencies and sustainability mandates.

15 February 2022
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AI Start-Up Gives Sustainable Wastewater Management A High-Tech Refresh
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Clean water is one of the most important sustainability objectives throughout the world, and industrial manufacturers are turning to artificial intelligence (AI), machine learning, and industrial internet of things (IoT) technologies to address the challenge. Start-ups are popular in Australia. Streamwise D.I. has created an AI-powered intelligence platform for wastewater treatment that provides industrial-grade digitalisation.

“Manufacturers in a variety of industries treat water on a megalitre per day scale,” said Abhyuday Bhartia, chief technology officer of Streamwise D.I. “Our gadgets and decision intelligence platform help businesses through the process of collecting the relevant data and provide them with the tools to easily identify insights. This openness reduces operational expenses and risk while boosting the organization’s capacity to comply with rules.”

Blue-chip customers of Streamwise D.I. include well-known names in the food and beverage (F&B), mining, and chemicals sectors, as well as municipal water authorities. Customers may obtain business value early on by starting with modest initiatives and then improving them over time.

Bubbling up process inefficiencies

The Streamwise D.I. platform captures real-time data from cameras, IoT-based sensors, and other instruments deployed on customer-owned gear. The data is transformed into a “digital twin,” which is fed into a cloud-based dashboard and analysed before being shared as action items with selected team members. People may get the information they need right away by using their mobile device or a web browser. “Within an hour of turning on the system, operations staff can instantly assess water pollutant levels and if activities are in accordance with standards,” Bhartia said.

“The algorithms measure asset and process inefficiencies, as well as environmental compliance with that company’s municipal trade waste agreements, over time.” The amount and kind of chemicals used in wastewater treatment by manufacturers are one of the most stringent regulatory requirements. The issue is as much about regulatory compliance as it is about cost-cutting.

“Using the data, the operator may alter mechanisms and treatment procedures to stay in compliance while achieving enormous efficiency,” Bhartia explained. “The platform can build what-if scenarios and make automated operational control and management choices using historical and real-time data. Companies may realize that they are employing chemical kinds and amounts that are unnecessary.” By minimizing superfluous chemical consumption, one client, an Australian cereal producer, drastically reduced wastewater treatment operating expenses. A dairy processing company reduced trade waste charges by 26% and operator monitoring by 80%, saving more than a quarter of a million dollars each year.

Data reduces operational expenses

Addressing the imperatives of the environment, sustainability, and corporate governance (ESG) is also dependent on operational efficiencies. Bhartia claims that Streamwise D.I. gives insights with far-reaching sustainable business effects while monitoring and analysing data from water treatment operations.

“Are processes operating at peak efficiency? Are they adhering to the agreed-upon requirements, or are they failing? Does the equipment require maintenance or replacement?” he asked. “Understanding and acting on all of these factors have an impact on energy efficiency.”

Digital intelligence modernizes wastewater treatment

Bhartia has been with Streamwise D.I. since it became a digital services platform. He agreed with the start-creator, up’s Alastair Lockey, that artificial intelligence (AI) had the potential to revolutionize wastewater treatment, bridging the gap between economic imperatives and sustainability standards.

“Wastewater treatment systems are inefficient and exceedingly complicated, with specific conditions and operations,” Bhartia explained. “We thought intelligent digitisation could assist simplify operations by providing operators with actionable data to satisfy operational aims, budget goals, and regulatory demands. “There is an immense global opportunity to make a significant difference in business and the environment throughout the world.”

Incredible sustainability partnership with SAP.iO

Streamwise D.I. was a member of SAP.iO Foundry Singapore’s energy and natural resource cohort. SAP’s hands-on product commercialization and go-to-market support were valuable to Bhartia. “Working with SAP has been a fantastic experience. We’ve learnt a lot from SAP’s specialists, and their approval of our solution has given us more market credibility and visibility,” he added.

“Our integration with SAP Asset Intelligence Network (AIN) expands our collective sustainability effect for industrial water management customers worldwide.

Tech can turn back the water pollution tide

Sustainable business necessitates the use of technologies to avert more grave forecasts about our quality of life and existence. According to the World Bank, over 80% of the world’s wastewater is returned to the environment without appropriate treatment. According to these experts, by 2025, two-thirds of the world’s population might be water strained. However, they also stated that “transformation is conceivable to reverse the flow of water contamination, more awareness, enhanced prevention, and wise investments in new technologies are required.”

 

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Source: Forbes
Tags: homeSDGs11SDGs12SDGs13SDGs6
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