Water and Artificial Intelligence

Posted by Global technology interface on March 11, 2021


Today we are seeing a wave of conversational AI sweeping across several sectors, and every domain is looking to add AI-based solutions to automate routine transactions and processes. This growth in Conversational AI is just the beginning, and the future is going to see the deployment of conversational AI in home automation, automobiles, marketing, advertising, e-learning, as economies globally undergo digital transformation. In similar ways Artificial intelligence (AI) is making its mark on the water industry. It is powering intelligent operations using machine learning to optimize water use and operational budgets.

 

It has always been seen that human settlements and population boom have always been dependent on reliant supply of water for drinking and other domestic purposes. With the ever increasing population there has been a constant depletion in quality of freshwater resources, there has always been a constant research for technologies that will ensure supply of clean, potable and constant supply of water. The recent Union Budget also announced Jal Jeevan Urban Mission that aims to functional household tap connections to 2.86 Cr households, which is in line with the Centre’s rural water supply project launched in 2019.  Artificial intelligence (AI) in cleantech offers exactly this promise. A 2019 PwC report titled “Artificial Intelligence and the Fate of Planet Earth” recognises water as one of the four key industries where AI can generate $5.2 Tn.

 

AI in Irrigation

70% of freshwater use today is in agriculture and the efficiency of use is less than 50%. AI can streamline the use of water in agriculture by reducing the water used in irrigation. At basic level AI systems can estimate the water demand by factoring the stage of crop growth and managing sprinklers and drips. Advanced systems will be able to predict weather conditions, rain, humidity in atmosphere etc. and guide the sprinkler systems accordingly.

A widening range of systems and solutions are combining to create the digitally-empowered farm of the future, which utilises the minimum amount of water.

 

AI in Water Conservation

Smart meters can identify leaks and pipe damages in residential areas and other public water points in informal settlements leading to more efficient systems. As per reports AI enabled Smart meters deployed in South Korea have brought down the leakage and the costs by 20%. To address the water utilities’ growing demand for IoT solutions, companies are building their capabilities by partnering with IoT platform vendors with expertise in the water sector. These systems will reduce pilferage and wastage and bring a reduction in the unaccounted-for-water. AI systems thus equipped will be able to predict water demand and manage water distribution more efficiently.

 

AI in Water Treatment

All substances dispersed within wastewater can have varying levels of toxicity and will require the appropriate treatment in order to minimise their impact on the environment. Wastewater facilities need to leverage technologies that offer real-time visibility into the effluent levels at remote wastewater sites and manage them effectively. Artificial intelligence and machine learning can be used for more effective water treatment processes as well as to detect problems and assure an early allocation of efforts. Many companies have become partners for innovation in healthcare who are researching on impacts of wastewater on bodily functions of human being.

 

AI in Water Sanitation and Hygiene Sector

Access to water is essential for every individual. As a fundamental right, everyone should be entitled to it without discrimination. The ongoing intensifying environmental degradation coupled with climate change and the continued population boom is also posing considerable challenges to water security. 

There are also various technologies that are Using AI to detect dangerous bacteria and harmful particles in the water. Similarly, Artificial intelligence, and machine learning can be used for more effective water treatment processes as well as detect problems of pollutants present in water and assure an early allocation of efforts. AI can incubate developments such as AI toilets capable that is capable of analyzing feces, and diagnosing diseases. 

AI-driven solutions can combine data analysis to produce more effective water treatment methods. These enhancements can not only detect harmful bacteria and pollutants in water, as well as minimize waste in several sectors. AI can improve water-use efficiency and point to precise directions for an early allocation of efforts in sanitation supports.

These are just few examples of the colossal possibilities that AI caters for cleantech. Once the technology adoption enhances, the costs will subside. As the cost drops, the systems will become more efficient. This virtuous cycle, when harnessed, will help us preserve the planet’s most precious resource- water. All we need to do is initiate this cycle and take this up on priority.

 

Global Business Inroads [GBI] excels in technology scouting, technology access, and deployment, and has been functioning since its inception (2009) with immense expertise in technology transfer and project management. GBI has supported over 200+ firms [Start-ups, SMEs, Corporates, Government and Private organizations, etc.,] for facilitating access to innovation and technology in the Indian and global market.

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