Exploring the misconceptions surrounding AI

The world of IoT and digitalization has fast become a reality for the water sector, with much excitement and hype surrounding the possibilities this brings.  However, it has also created misconceptions surrounding artificial intelligence and its machine learning capabilities. ATi’s Executive Director, Garry Tabor, discusses whether expectations have been set too high and what crucial foundations must be laid to make digitalization a true success.

With an ever-increasing frequency, new buzzwords or acronyms burst onto the scene and quickly become part of every-day language, promising exciting and innovative ways to improve the way the world operates.  The most recent examples include “smart”, “cloud”, “AI” and “digital transformation”, but unless we stop to define the true meaning behind these fuzzy terms, it creates misunderstanding as to how these concepts will work within the water industry.  People then feel slightly embarrassed to admit their lack of true understanding because everyone else ‘seems’ to know. A classic case of the Emperor’s New Clothes. 

Many have heard of the fairy tale where people pretend to admire the new clothes of the Emperor, despite the fact he isn’t actually wearing any.  However, there is a real possibility that AI in the water industry could become much like the well-known fable, appearing to promise spectacular capabilities that many want to believe is true, yet the reality is often a misconception.  Nobody wants to think of themselves as the Emperor, however, when it comes to the much buzzed-about topic of AI, too many of us are unwittingly playing that part.

Data foundations

For many companies in the water sector, collecting and analysing performance data in order to unlock operational insights is the driver of efficiency and innovation.  Yet getting to the pot of gold at the end of the AI rainbow isn’t as easy as some would want you to believe, with too many myths that are creating unrealistic expectations.

AI is typically a platform that creates algorithms, but the water industry is not quite ready for the autonomous intelligence this requires – at best we are only at the stage of machine learning, pattern recognition and reproducibility.  As all water specialists know, water is a complex and dynamic chemistry that is fluid and ever-changing.  It is not a mathematical algorithm; it holds to the universal law of cause and effect.  Moreover, there is also mother nature who often defies predictability. In a similar way to weather, water is inherently difficult to predict and manage by computers alone – whatever you put in needs to be interpreted by a data expert.  Water companies cannot simply rely on the correct coding to monitor and measure water quality, and this is the first misconception of AI.

Just like the way humans need to walk before they can run, machines need to be taught how to learn. Algorithms need to be trained to do what is needed; but to train an algorithm you need to feed it with clean, reliable and accurate data from strategically placed smart sensors, along with the expert knowledge of data specialists to interpret it.  In short, if you put rubbish into the smart system, you will only ever get rubbish out and even the smartest analytics platform could not succeed without the perfect combination of quality data, smart people and efficient processes to take those insights and turn them into meaningful actions. 

For these powerful analytics tools to have any beneficial impact, they need to harvest high quality data throughout the process from source to tap.  Purely mathematical models have many data blind-spots; but a neural network of smart sensors can provide the solution for this, creating a complete picture and enabling effective water quality management.  Carefully selecting the right industry-leading smart sensors as the foundations, such as ATi’s digital, smart water quality M-Nodes, is vital – only then can digitalisation start being built.

M-Nodes. Ultra low-powered digital water quality sensors

Final effluent

There are plenty of factors that might limit the adoption of AI, including skills, operating model and accessibility of data.  AI apps and services rely on data, and a lot of it. Accessibility and quality of data is key to make the journey to digitalisation a success and involves:

Discoverability. Do we know what data we have and how its structured?

Access. Can we get to this information with reasonable ease and economically?

Data Exploitation. Do we have the tools, skills and technologies by which to process the data for our chosen purpose?

Although these may sound obvious the water industry, with its legacy of technologies, needs re-think its strategies and become innovative in its approach, moving towards these data foundations goals.

Making the future of digitalisation a reality

However, due to the amount of analytics programs and data visualisation tools being marketed, a lot of confusion has been created and many water companies still claim they are ‘data rich, information poor’.  This is either because their sensors are not as ‘smart’ as they claim, or it is due to a talent gap in specialist data analysts who can interpret and action the data. Water utilities know that it is not more data that they need, but clear, actionable insights.   Automated data collection, through the use of smart, reliable sensors, and the ability to upskill staff to analyse and understand it, represents a change in this approach to unlocking insights to drive efficiency.  In other words, to make digitalisation a success, the industry needs to focus less on the myths of AI and more on the famous PPT paradigm: People, Processes and Technology. 

The future adoption of digital water could be at risk by AI expectations being set too high.  Innovation and the adoption of smarter digital solutions will bring about rapid and dramatic benefits, but if not challenged, these misconceptions risk slowing the deployment of proven technology down and ultimately risks destroying the promise that such innovation offers.

So, is AI the future of smart water quality management?  If we change the meaning of AI to “Actionable Insights” rather than “Artificial Intelligence”, then the answer is yes.   While the vision of digitalisation may take time to materialise, it is the decisions made today, laying the foundations with the right smart sensors, collecting data and applying pattern recognition, based on specialist industry knowledge, that will determine how quickly we get there.

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  • AI
  • data
  • Digital
  • Sensors
  • Wastewater
  • Water Quality

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Exploring the misconceptions surrounding AI

In the United Kingdom there is growing concern that we could be heading for a future of increasing water scarcity, as the surge in demand for water escalates.

Despite its rainy reputation, the UK’s water reserves can become substantially strained due to the unpredictable nature of its weather, flipping from floods to drought. 

Long, dry sunny spells, coupled with an increase in water demand as a result of people remaining at home during the coronavirus lockdown, means many water companies are only weeks away from needing to bring boreholes back online to prevent water running out.

Boreholes play a vital role in the supply of water, but some have remained unused for years, with no power or plc to communicate and control data.  As with all other water treatment works, the water within the boreholes needs to be treated and monitored prior to discharge to ensure the water is clean and safe.  However many water companies lack the technology to be able to do this quickly and effectively.

To address this issue, back in 2018, ATi’s Innovation Hub worked in partnership with one of the country’s leading, proactive water utility companies, to develop a ground-breaking emergency start-up solution that enabled a fast, effective and timely action to help form a more sustainable future for drinking water.

ATi’s SiteBox water quality monitoring and control ‘Lift & Shift’ solution

Following long dry spells, the utilities company needed a series of boreholes to be brought back online within a matter of days, whilst also creating a long-term solution for monitoring and controlling their water quality. 

After previously working alongside ATi to develop the pioneering SiteBox, they were confident that this offered them the perfect solution. SiteBox allowed them to employ proactive control with early-warning alerts that identified potential risks to water quality, whilst also enabling engineers to easily ‘lift and shift’ the equipment at short notice to another location, with a simple ‘plug and play’ set-up. 

Real-time data from each borehole was sent from SiteBox GSMs to a cloud-based platform, allowing the water company to compare the information directly with the site PLCs, monitoring multiple water streams from different parts of the treatment process, in one location. 

Raw water was tested via the inlet with parameters such as conductivity, turbidity and pH, cross-checking them on a separate water stream in the middle of the process with the addition of chlorine M-Nodes, and then again on the final water stream prior to discharge. The SiteBox units also used dual and triple validation for some areas to provide peace of mind in the information being provided. 

This fast, proactive technology enabled the forward thinking water company to supply around 25% more water than usual to keep pace with the surge in demand, whilst issuing customers with advance warning of the change to the water blend into taps. 

Due to its flexible method for delivering information, even from remote locations, SiteBox can be used anywhere that water quality measurement and control is needed, from drinking water treatment to process water in the food industry.  Its modular nature enables users to tailor a bespoke monitoring system that fits individual site requirements. SiteBox can be used on its own as the input to a control system, or alternatively as an independent monitoring system that polices existing water quality monitors.

With delivery to start up in minutes, SiteBox is quick to install and can generate live data in as little as 30 minutes. The versatile ‘lift and shift’ system also has a tiny footprint, low water usage and can be configured for dual validation, triple validation and multi-stream, with up to eight sensors and 16 parameters to choose from.

Building a sustainable future

Over the last 12 months, SiteBox has been used by a variety of customers in trials for different applications, with the results proving to be industry-changing.

Demonstrating the versatility in its usage, SiteBox has also recently been used by the world’s largest provider of water systems for global events, including sporting games and rock festivals. The components, including pumps, tanks, valves, sensors and plc controllers, are all held in warehouses around the globe. 

Temporary systems are put together and must be robust, easy to use, easy to ship, easy to start up and easy to maintain. SiteBox has allowed these customers to have off-the-shelf water quality systems ready for immediate deployment.

ATi’s UK Sales Manager, Vicky Banks, believes that now is the time for the water industry to plan ahead for increasing water shortages and become proactive rather than reactive. 

“Sadly, water shortages are not one-off events – year on year the UK is experiencing longer dry periods.  To cope with the increasing demands, the National Audit Office state that water companies will need to cut the volume of water removed from source by more than a billion litres a day, creating huge shortfalls in the coming decades.  The spending watchdog predicts that four billion litres of additional water supply will be needed per day by 2050 to counter the growing risk of drought from climate change, with the country’s total water supply forecast to drop by 7% by 2045. 

With this in mind, now is the time for water companies to prepare for a more sustainable future, enabling the industry to increase optimisation and resilience with proven, cutting edge technology. By working in partnership with our valued customer, ATi has developed a solution with SiteBox that brings boreholes back online quickly, safely and effectively.

The versatility of the SiteBox system means water companies can now proactively plan ahead for any water shortages, allowing forward-thinking water utilities to monitor, alarm and prevent events that could affect the water quality supply, minimising any disruption.

The future of emergency water quality management is changing fast, but staying ahead of the game will allow for a better balance between demand and resources moving forward.”

 

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Exploring the misconceptions surrounding AI

ATi’s Senior Technical Support Analyst, Derek Leslie, discusses why putting the customer’s individual needs first has never been more important for the future of smart water. 

Digitalisation is bringing new possibilities for managing water utilities more efficiently and resiliently to proactively safeguard water quality and create intelligent, optimised, Smart Water networks.  As the emphasis on the future of Smart Water rises, water professionals are becoming more focused on finding the right, tailored solutions that help to improve water quality, by extracting deeper insights on pipeline networks and enhancing operational efficiencies.

The entire water industry has been entrusted with the responsibility of supplying vital water services to communities, safeguarding water at all points on its journey from source to tap.  As custodians of this journey, we are also responsible for continually developing innovative solutions to manage these systems efficiently, effectively and in a transparent manner.

Until recently, utilities lacked the tools to manage our ageing water systems and proactively manage water quality, however, advances in digital technologies are now enabling better knowledge, system hygiene, more efficient monitoring, diagnostics and targeted investments, along with intelligent system management.

It has already been proven that collaborative, intelligent, networked systems are the key to the future of water management, assisting in identifying and predicting water quality issues.  But they also improve operational tactics, promote conservation, minimise consumption and offer 24/7 reassurance that safe and wholesome water is being delivered to communities and this is what is helping to drive the industry towards becoming truly smart.  However, as is the case with most problems, there isn’t a ‘one size fits all’ solution.  This is where technical innovation and collective expertise play a vital role.

As an example, if a car dealership revealed the last 20 cars that they sold, very few would be the exact same model or specification. This is because customers buy a car based on their specific requirements and budget limitations, essentially selecting a bespoke model fit for individual needs. So why should the water industry be any different, forced to follow the crowd when it comes to what defines Smart Water?  The simple answer is, it isn’t.

New technology enables the bespoke design of water quality monitoring systems for a variety of applications. Like cars, the basic monitors are similar, as all water companies monitor leakage and pressure pretty much as standard, but different options are then available to build modular systems to suit individual site requirements.  This is what makes the systems truly smart.  By taking the time to listen and understand what each water utility’s individual needs and challenges are, working together with skilled, multi-technology partners to create tiered options, results in bespoke solutions tailored to specific needs.

However, it is important to remember that one water professional’s ideal Smart Water solution will differ from another’s, depending on the application and the ‘pain’, even from within the same water company.

Scalable, smart network solutions that can be customised for different applicational needs are fast becoming a prerequisite, rather than a luxury. These solutions require a truly smart approach, one driven by data, innovative technology and collaboration, allowing utilities to select the functions they need to tackle the problems they are facing, adapting to meet their changing needs over time. 

Network automation control systems

While Smart Water offers untold benefits, utilities are still working to understand how to gather, manage, analyse and action the data being generated by ever-evolving new technologies.  The only problem with Big Data is that we can often become overwhelmed by the amount of information we receive. Understanding and interpreting this data is an essential part of the puzzle if we are to achieve true Smart Water.

In summary there is huge unsaid concern for reservoir quality. There is also apprehension that once this previously unknown data is unlocked, a can of worms could be opened, and can utilities afford the solutions? However, the real issue is, we can’t afford not to know.This is where network automation is needed to be able to progress from what is currently being badged as Smart Water to the next advance in technology. To combine the controls of flow and pressure with water quality data, offering early warning alerts to events, must be the goal ahead. The end result does not have to be a singular, a one size fits all, much like the choice of car and model.  A modular approach to control systems is what the industry requires.

At the moment, the understanding of this complex data and ensuring you get the best value from your investments comes down to people. People within water companies, academia and consultants that can tell you what this all means and when things are happening within your networks.

With the right sensing technology, tailored to specific needs and detailed data analytics, there is sufficient and accurate information to optimise treatment, cost, protect assets and predict the future, whilst avoiding issues in the present, but only if you have the correct focus on ‘data to decisions’.

Collective expertise

The final piece of the Smart Water jigsaw is empowering water companies and the supply chain to be bold enough to turn innovations into business-as-usual processes and streamline activities to ensure effective collaboration.   The challenge moving forwards is to learn from each other by sharing best practice, information and expertise for mutual benefit. What wisdom is there in several companies repeating similar trials and tests only to produce the same results? 

Sharing must also involve people and skills. This includes academia, such as The University of Sheffield, Manchester University, and Imperial College, that work alongside the water industry to carry out independent studies and trials. There are manufacturers of sensors, loggers, control systems, data analysts, IOT and water consultants, all of whom have an immense repository of skills and knowledge for us to tap into and develop.  Sharing experiences would quickly enable the industry to foster best practice in both Smart Water quality solutions and processes, encouraging the much-needed formation of multi-layered, multi-faceted, strategic partnerships rather than working in silo.  Transparent collaboration, with shared values to improve the industry, is what will help us to achieve the goal of true Smart Water.

The onset of the digital revolution is bringing the possibility of comprehensive Smart Water networks ever closer. It is essential that, as an industry, we innovate and grasp this opportunity with both hands; this will lead to greater efficiency, improved network performance and enhanced customer service in an ever-demanding business environment. 

The challenge now is to keep evolving and work smarter, developing new, innovative, customer focused technologies, with inter-disciplinary ways of working that are motivated by the goals of each individual project, tailored to the applications they are used in.  Digital innovation will be the key to success and survival, enabling organisations to build a connected workforce, modernise operational processes and deliver enhanced customer service.  Smart Water is changing the water industry as we know it and embracing innovation and digital transformation is not only enabling utilities to address today’s unprecedented challenges, but also invest in the future.

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  • Service Reservoir
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Exploring the misconceptions surrounding AI

Service reservoir performance analysis requires accurate and reliable monitoring, detailed understanding, and the expertise of a multi-disciplined team. Throughout the life of a reservoir, operators monitor water quality and performance through generated data insights. ATi’s Technical Performance and Data Analyst, Derek Leslie, discusses how the investment in analytical sensor and data resources greatly increases the ability to assess reservoir quality, whilst maximising recovery, performance and profitability.

Reservoir analysis is routinely used to evaluate performance, diagnose characteristics, plan for future development, perform maintenance and management. The fundamental goal of reservoir engineers is to predict the performance of the reservoirs, including the sizeable financial outlays in exploration, drilling, production demand and optimum efficiency to maximise the return on investment.

Traditionally, reservoir performance has been judged on the results from the one-sample-per-week minimum requirements on the outlet of the reservoir, outlined by the DWI. However, it is now widely accepted that one weekly sample is no longer adequate to meet the requirements and challenges of the modern world. Instead, focused and targeted monitoring is required to understand reservoir performance and problems. The installation of proven, accurate, reliable and continuous monitoring solutions at various points in the reservoir are now crucial, enabling water companies to extract detailed information to unlock the true picture of water quality.

Although on-site laboratory test sampling may not be possible, obtaining the key indicative samples of water quality is. Parameters such as chlorine residual, turbidity, pH and conductivity can be measured on-site continually, at intervals from as little as less than a minute apart. Utilising industry-leading, tried and tested analytical monitors, such as ATi’s Smart Water Quality and Q-Series ranges of monitoring solutions, provides all of this data to any platform, offering a clearer and more timely picture.

M-Nodes. Ultra low-powered digital water quality sensors

However, in order to generate the best results to analyse performance, a number of questions need to be addressed, including where should the monitors be installed and are regulatory test results indicative of good reservoir content?

In short, it is wrong to assume that a regulatory sample that passes the test means all the content within the tank is the same, due to dead spots or low-to-no turnover areas in the tanks. There are inlet and outlet mains within a few feet of each other, therefore what goes in can go straight out. The hydraulic nature of ebb and flow designed reservoirs often results in a loss in disinfection, as supply water is flowing back and forth. There is also the risk that regulatory samples on common inlet and outlet mains can be taken at the wrong time, such as during filling. However, utilising ATi’s industry-leading water quality monitors provides an accurate, real-time picture of water quality and performance, allowing improved optimisation and proactive management.

Quick health checks can be achieved through ‘dip’ samples, however, this requires sufficient access to several parts of the tank, which isn’t always feasible, and also involves additional resources. For accurate daily monitoring of inlet and outlet flows, water quality monitors are crucial. In addition, the quality of the water arriving at site should also be monitored to determine if issues at the site are tank-related or delivery-related. Once the diagnosis is made, some monitors can be removed and the key sensors made permanent.

Other efficient methods are also available using robotic submersibles, guided to any part and depth of the reservoir, with an ambilocal tube allowing sample water to be pumped to analysers or sample bottles. ATi’s Site Box, a portable water quality monitoring and control system, is a tried and trusted aid for this method of sampling.

24/7 data from ATi’s water quality range can determine if modifications to internal or external pipework design is required, if valve positions need changing, or whether control valves and equipment are necessary. The data can then establish if additional disinfection would be beneficial, whether wider investigation is required or determine if adjustments to filling and emptying the tank is needed.

In summary there is huge unsaid concern for reservoir quality. There is also apprehension that once this previously unknown data is unlocked, a can of worms could be opened, and can utilities afford the solutions? However, the real issue is, we can’t afford not to know.

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Exploring the misconceptions surrounding AI

The water industry is currently being driven to increase its focus on environmental protection by improving the effectiveness of its processes, reducing the likelihood of residual chlorine and final effluent polluting water courses.

Last year, around 7% of rivers were polluted because of raw effluent flowing from storm overflows (source Environmental Agency). Raw sewage and chemical discharges directly into rivers remain significant sources of pollution.

As custodians and guardians of the journey that water takes, the water sector needs to make a concerted effort to ensure processes are carried out within the stringent environmental parameters for the sake of environmental protection.

As part of National Pollution Prevention Week, discover how ATi’s smart water and Q-Series water quality solutions are helping to reduce the risk of pollution and encourage environmental responsibility.

De-chlorination

Chlorine has been proven to be the simplest and most effective means of disinfecting water, being used for approximately 100 years.  However, chlorine limits are put in place to preserve and protect the environment and ensure that water entering watercourses is kept to a high standard.

With the help of innovative pioneers like ATi, water companies are taking vital steps forward in improving the efficiency and effectiveness of the de-chlorination process, working to reduce the likelihood of residual chlorine that may enter rivers during emergency works or weather events.

With liquid solutions being the most accurate way to dechlorinate, ATi utilises the latest in flow proportional dosing equipment and chlorine analysis, while also monitoring post-dosage discharges, to improve de-chlorination processes and reduce the likelihood of environmental impact.

As industry-leaders in water quality monitoring and de-chlorination processes, ATi works closely with clients including Anglian Water to help identify ways to improve monitoring and control technology, providing a more consistent and accurate process whilst ensuring regulation compliance.

“This technology is already helping us to better monitor what we’re putting into our region’s watercourses. We always strive to ensure that we protect the environment at every opportunity and these advances in dosing equipment can help us do just that,” Malc Holmes, Anglian Water’s Restoration Innovation Manager, said.

Through the continuous monitoring of the final discharge, Anglian can also record dissolved oxygen, pH and turbidity levels at environmentally sensitive areas. This enables discharged water to be comprehensively evaluated and audited, improving processes through continual learning and improvement.

ATi’s innovative smart water quality range, including the WRAS approved MetriNet, along with our tried and tested Q-Series water quality monitors, help to monitor what water companies put into their region’s rivers, ensuring environmental protection at every opportunity.

In addition, ATi has also developed technology that allows chlorine analysis to become more portable with our SiteBox smart solution, providing greater flexibility and allowing seamless integration with the water network. Utilising the new plug-and-play technology improves the accuracy of monitoring for the presence of chlorine throughout the entire de-chlorination process.

The results of these proven technologies allows for better awareness and visibility of the dosing process, ensuring that water companies are performing within the required parameters. Through greater control, utilities can drive efficiency and effectiveness in the de-chlorination process.

Final effluent

Industrial and manufacturing plants across the globe are also placing greater emphasis on improving processes to ensure minimum impact on the environment.

Water effluents in the UK are strictly regulated by the Environment Agency via the Pollution Prevention and Control (PPC) regulations and by local authorities through consent to discharge. In order to comply with these regulations, plants operate effluent monitoring systems that can cope with the large amount of fouling that can occur within sensing tanks.

ATi works with leading industrial and manufacturing plants across the globe, supplying a range of solutions for effluent and wastewater monitoring from our Q-Series range.  These solutions provide crucial data, identifying how upstream processes may be improved and ensuring environmental regulations compliance to enhance effluent control.

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