To what extent data is powerful?

The Value of Real-Time Customer Data

Water managers have been so successful in creating solutions to our water needs that the average client feels that easy and abundant water must be available on demand without considering the complexity of this provider.

This loss of consciousness, in the face of increasing water scarcity and rising charges, is a disservice not only to the client but also to the application.

As a result, improving customer service is a growing concern for many water providers.

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According to 76 percent of respondents in the 2014 SWAN Global Utility Survey, customer service is the most effective commercial enterprise driving driver for utilities.

As the price of water rises, clients will need to acknowledge that what they’re paying for is no longer what they’re paying for, but rather a strategy to manage the prices.

Utilities will aim to communicate with their customers through meaningful, time-sensitive information to change their intake behavior.

By analyzing their water intake data regularly, clients can make informed, cost-effective decisions about their water use.

Humans must receive “geo-temporal” context in their intake to be successful in reducing consumption: where, when and why they consume water.

Utilities can inform customers using data and statistics that by saving assets, they are extending the useful life of current infrastructure and drastically reducing future water price hikes.

The Value of Real-Time Utility Data With the deployment of additional sensors and meters, as well as the combination of GIS and client data, the amount of data available at the application, or water supply aspect, is growing substantially.

The frequency of transmission is also increasing, including the number of recordings.

Virtual servers now let businesses store more data, use more computing power, and communicate with associated cellular personnel, lowering operational and security costs.

However, earlier than shopping and putting in the hardware, it’s far more critical that utilities understand what information is proper for them and expand a records control approach that maximizes its use.

A Smart Water Network hyperlinks more than one structure inside a community to percentage information throughout platforms.

This lets utilities assume and react to extraordinary sorts of water community issues, from detecting leaks and water first-class incidents to keeping strength and monitoring residential water intake.

By tracking real-time data, application operators may constantly be aware of what is going on within the discipline and respond quickly and correctly when a problem emerges.

These outcomes within the software make it more environmentally friendly and reduce the overall price of the service for the consumer.

Traditional vs. Smart Water answers

There are numerous blessings to adopting clever, information-pushed water answers as compared to conventional water community control methods.

Customer Metering 

Conventional water meters are manually examined on a monthly, quarterly, or half-every-year basis.

Smart meters” (AMR/AMI), in contrast, permit for continuous, faraway tracking of intake, ensuing in extra correct billing and complete consumer utilization and charge sign statistics.

Water quality monitoring 

Conventional water fine tracking is based on manual, “grab” sampling strategies with area or laboratory evaluation.

In contrast, online water exceptional tracking makes use of sensors to speak real-time facts on diverse parameters to a software program platform.

This allows application operators to quickly discover the supply and unfold of infection earlier than clients are impacted.

Leak Detection 

Traditional leak detection deploys ordinary sweeps through area teams, which may be time-ingesting and costly.

Advanced leak detection makes use of constant community sensors or analytic software programs to remotely alert device operators about diverse community issues stopping water loss and huge bursts that interrupt providers and cause asset damage.

Pressure Management  

Conventional strain control manually controls valves with the aid of using selective or reactive programs or discipline visits.

Advanced strain optimization video display units real-time stress, waft, and other data channels dispatched robotically to an imperative device for evaluation and next automated management of assets.

This reduces burst frequency and extends infrastructure lifetime.

Energy Management 

Pump station audits or the installation of pump station controllers are examples of traditional electricity control, which no longer take into consideration power price lists or water demands.

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Hydraulic modeling, on the other hand, mimics community dynamics based on a pump’s performance under a wide range of settings.

Furthermore, superior power optimization automates pump schedules based entirely on power price lists, water demands and supplies.

By tracking real-time records, software operators can live knowledgeable approximately what goes on withinside the subject always and reply speedy and accurately when a hassle arises.

Manufacturing fees and garage necessities.

This will increase power performance and asset overall performance at the same time as slicing down greenhouse gases and strength prices.

Bridging the statistics hole

The water industry is dealing with a communication problem, not only between customers and utilities but also between utilities and power providers.

The Smart Water Networks Forum (SWAN) brings together major players in the water sector to promote the global development of water networks, making them smarter, greener, and more sustainable.

Water utilities, energy suppliers, engineering and consulting organizations, academics, and investors are among the SWAN participants.

SWAN has the perfect maximum potential to share its participants’ diverse experiences, develop its studies and form enterprise gear and wonder going forward by boosting cross-industry collaboration.

To communicate with water clients, SWAN has developed three short videos that highlight the critical role that generation plays in ensuring clients receive consistent, abundant, high-quality and affordable water.

SWAN introduced the SWAN SMART SCORE, which comprises a free 12-question survey, to help water utilities measure their community intelligence.

In addition to the SMART SCORE, the SWAN Interactive Architecture Tool is a first-of-its-kind, online platform available to anybody interested in learning more about intelligent water technology.

Customers can use the tool to fit community problems to generate responses, travel through interactive diagrams and analyses informative case studies and benefit evaluations.

SWAN participants help to guide the future of the water industry by increasing and accelerating attention to the effective use of intelligent data structures.

Looking in the direction of the future

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Smart water technology is changing how customers make decisions about their water use and how water utilities make decisions about tracking and controlling their community.

This is not possible without access to real-time data.

However, it is crucial to note that it isn’t always about having the brand-new generation, but rather about locating the correct documents, at the proper time, addressed to the proper people.

The proper information provides customers with the knowledge and hopefully buy-in to reduce their water footprint, and utilities with the know-how to effectively regulate their specific demanding situations, whether or not it is client metering, water nice, leakage, strain, or power control.

By using information-driven solutions, utilities can ensure that customers continue to receive the easy, pressurized and consistent water delivery that they have come to expect.

SWAN strives to bridge the information gap on the benefits of imposing real-time, data-driven solutions via its business equipment and assets; nevertheless, outreach and investment in public education are now required. It is time to reimagine our water future.


[1] Hutton, C. J., Kapelan, Z., Vamvakeridou-Lyroudia, L., & Savić, D. A. (2014). Dealing with uncertainty in water distribution system models: A framework for real-time modeling and data assimilation. Journal of Water Resources Planning and Management, 140(2), 169-183.

‏ [2]Wolff, G., & Gleick, P. H. (2002). The soft path for water. Washington, DC: Island Press.

‏[3] MA, H. (2018). Removal of iron from water using hydrogen peroxide. Journal of Environmental Science, 41(1), 1-17.

‏ [4]Pan, W. K., & Bonnet, G. (2022). Land Use Change and Health. In International Handbook of Population and Environment (pp. 301-329). Springer, Cham.

[5] Hesham, A., Awad, Y., Jahin, H., El-Korashy, S., Maher, S., Kalil, H., & Khairy, G. (2021). Hydrochar for Industrial Wastewater Treatment: An Overview on its Advantages and Applications. J Environ Anal Toxicol, 11(3).

[6] Bansal, S., Burden, K., & Swartout, B. (2020). Utilities Can Improve Customer Experience to Meet Growing Customer Expectations. Climate and Energy, 37(3), 9-18.‏

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