Smart Water Management using Internet of Things Technologies

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Water scarcity is the lack of sufficient available water resources to meet the demands of water usage within a region, which is, according to the “United Nations Development Programme,” caused mainly by poor management of those resources, affecting around 1.2 billion people around the world.

The Internet of Things as a technology holds great potential to solve life-threatening problems in various angles of our daily life of which is the “Water Scarcity” through smart, instant and predictable management.

In every part of the water cycle, IoT can be utilized to manage water resources better and reach efficient and optimal results.

The current authorities’ behavior towards water management somehow lacks the proper tools to analyze trends and behavior of people that results in weak water distribution programs and plans.

On the other hand, the consumer lack proper tools to stay tuned and alerted to water usage and consumption as well as storage remaining capacity, factors that add to improper water consumption.

One of the crucial challenges of water management, as well as conservation in a city, is to determine the amount of water that any particular city is going to utilize during the next day. This can be calculated to precision with the use of predictive analytics. This is done by keeping a track on the history of water consumption in the city on any given day. Based on the historical data collected and analyzed by predictive analytics and combined with the consideration of special events, holidays, as well as the weather in that city, authorities can determine the amount of water that the entire population is going to consume in one day.

When we know the amount of water that is required for overall consumption in a city on any given day, it becomes easy for the water authorities to maintain the level of water in a water reservoir/ tank and then pump the water into overhead tanks as required throughout the day.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.