Water supply systems suffer losses: accidents, water losses, and rising costs
Every day, water utilities face the same problem: pipeline accidents happen unexpectedly, and water losses reach a third of the total volume. While dispatchers respond after the fact, the utility spends budget on remediating consequences rather than on development.
Repairs become more expensive, resources are wasted, and network efficiency remains low — a familiar picture for most operators.
At the same time, network data is usually scattered across paper asset records, different software systems, and employees' memory. Dispatching is limited to phone calls and manual switching, and decisions are made hours after the signal.
As a result, both direct losses and reputational risks grow: water outages undermine the trust of consumers and regulators.
Our team closes this gap with a digital twin of the water supply system. We combine disparate data into a single network model that shows the state of pipes, pressure, and flow in real time.
Instead of reacting to an accident, you get risk forecasts and an action plan before the problem affects consumers.
Digitalization turns the control room from a "fire brigade" into a management center: the operator sees the entire network, priorities, and the consequences of decisions. This shortens incident containment time, reduces water losses, and makes costs predictable. Efficiency grows not through employees' heroism but through systematic work with data.
We have worked with utilities of different scales and know what the real economics of water supply looks like. That is why we build a digital twin not as a "fashionable project" but as a tool that pays for itself through reduced accident rates and losses. Contact us — we will show you, using your data, exactly where the efficiency reserve is hidden.
What a Digital Twin Delivers: Five Measurable Benefits for Business
A digital twin of a water supply system is not just a 3D model, but a working network management tool. It turns disparate sensor data and documentation into a single picture on which daily decisions can be based.
Implementation delivers five measurable benefits that directly affect the budget, reliability and quality of service to customers.
Fewer Breakdowns and Emergency Shutdowns
The digital twin reveals the network's weak points before they manifest. The dispatcher sees sections with increased wear and plans preventive maintenance without waiting for a burst.
As a result, the number of failures decreases, and consumers receive a stable water supply without unscheduled shutdowns.
Lower Network Maintenance Costs
Accurate data on equipment condition makes it possible to move away from the "fix after failure" practice toward planned maintenance. You don't spend budget on emergency repairs, unnecessary replacements and damage compensation. Every unit of resources is used with maximum return — this noticeably reduces operating costs.
Predicting Equipment Failures
The model analyzes the operating modes of pumps, valves and pipelines in real time and predicts their remaining service life. A unit can be replaced at a convenient time, before it causes a serious failure. This approach eliminates sudden downtime and costly repairs during peak season.
Operator Training Without Risk to the Network
Any scenario can be practiced on the digital twin — from routine switching to dealing with a burst. Staff gain hands-on experience without shutting off the water supply or putting real infrastructure at risk. New employees learn faster, while experienced ones hone their skills in non-standard situations.
Real-Time Network Monitoring
The entire picture — pressure, flow, water quality, the condition of shut-off valves — is displayed in a single window. The dispatcher sees what is happening in every section and responds instantly to deviations. This reduces incident response time and increases trust on the part of residents and regulators.
Digital twin formats for water supply systems
A digital twin of a water supply system is not an abstract “model in a computer,” but a working tool that helps you see how the network will behave under different loads, identify weak points in advance, and plan a budget. For the customer, this means fewer water losses, emergency shutdowns, and unforeseen expenses.
We offer several implementation formats — from a pilot project to a full model of the entire network. This approach allows you to first obtain a measurable result in one area and then scale the solution.
| Format | For whom | What it gives the client |
|---|---|---|
| Pilot project | Managers who need proof before major investments | Fast results in one area of the network: accurate data on losses and weak points. A basis for justifying the budget |
| Staff training simulator | Training centers and dispatch services | Practicing emergency situations without risk to the real network. Improving employee qualifications |
| Online monitoring, SCADA integration | Dispatchers and operating services | Operational control of pressure, flow rates, and water quality. Response to deviations before an accident, reduced losses |
| Full network model | For strategic planning | Testing development scenarios, optimizing investments, and reducing accident rates across the entire network |
Any of the formats can be combined: for example, start with a simulator for dispatchers and simultaneously implement online monitoring. We will help you choose the optimal configuration for your tasks.
How digital twin development works: from brief to launch
Digital twin development is a project where nothing should be left to chance. We structure the work so that at any moment you understand what is happening, what you are paying for, and when you will get the result. No surprises — only sequential stages with a clear outcome.
Each stage ends with a specific result that you approve. If something does not match expectations, we make revisions before moving into final development. This way we eliminate missed deadlines and expensive rework.
- Brief — we immerse ourselves in your task: study the network, emergency sections, consumption modes. We fix the twin's goals: what it should deliver — loss reduction, accident forecasting, personnel training.
- Data collection — we collect source data and bring it to a unified format: schemes, sensor readings, event logs. We check its completeness and quality — the accuracy of the entire model depends on this.
- Mathematical model — we create a digital copy of the network: water flow, pressure, reservoir filling. The model is built on proven engineering solutions and tailored to your specifics.
- Approval — we show intermediate results: model behavior in different scenarios, graphs, visualizations. You make edits, we adjust — until fully matching expectations.
- Application development — we create a convenient VR/AR/MR interface for engineers, operators, and management. No special training — employees get up to speed in a couple of days.
- Launch — we deploy the system on your side, train the team, and help integrate the twin into daily work.
- Support — we support the project after launch: update the model when the network changes, answer questions, and help expand functionality.
This approach allows work without disruptions: each stage ends within the agreed timeframe, and approval before final development eliminates unexpected rework. You always know what stage the project is at and what will happen tomorrow.
What is included in the digital twin delivery: the complete package
You receive not just a virtual copy of the network — but a working tool that stays with you after launch. We hand over the complete package so that your staff can manage the system independently, develop it further, and avoid dependence on the contractor.
What exactly you receive
- Source data and design documentation. All models, drawings and schematics in their current form — you can hand them over to any new specialist or use them for modernization.
- Open API and integration regulations. The digital twin connects easily to your accounting system or control room — no "rain dances" and no hidden limitations.
- Technical documentation for your engineers. Clear instructions on launch, configuration and day-to-day management: from changing parameters to diagnostics.
- Training for your team. We conduct hands-on sessions, after which your employees work with the twin on their own: upload data, update scenarios, analyze metrics.
- Warranty support and maintenance. After launch we stay in touch: we help resolve issues, fine-tune modules and update data.
This package addresses the customer's main fear — being left with a "black box". You get a system that you understand, control and can develop without our constant involvement.
The entire process — from handing over the source files to training — fits within standard timelines and is set out in the contract.
Case study: how a digital twin reduced failure rates at a water utility
A water utility in one of the regional centers had a typical pain point: network failures occurred almost every week, and each shutdown meant water outages, complaints from residents, and unplanned costs for repair crews.
Dispatchers learned about the problem only after water was already draining from the pipes, so they had to act blindly.
We proposed a digital twin — a virtual copy of the entire water supply system that collects data from sensors in real time and analyzes pressure, flow rate, and wear of pipeline sections. Our specialists deployed the solution in 3 months and connected it to the existing dispatch center.
How it works
The digital twin does not just show a diagram of the networks — it warns of anomalies several hours before a pipe burst. If pressure in a section drops, the system immediately identifies the likely leak location and suggests which crew to send there.
This made it possible to move from “patching holes” to planned maintenance: repair crews arrive with the necessary materials instead of spending a shift searching for the problem.
Effect in numbers
In the first year of operation, network failure rates decreased by 32%, and repair fund costs — by 18%. The savings came from three things: fewer emergency calls, cheaper elimination of defects at an early stage, and fewer penalty claims from resource-supplying organizations.
The project paid for itself in 10 months, and the water utility extended the contract to develop the system.
Now the twin is used not only by emergency services but also by the planning department: with its help, they model network development and allocate budget in advance for pipe replacement.
For a manager, it is a transparent tool that turns network maintenance costs from a “black box” into a manageable metric.
How to choose the digital twin format for your task?
The choice of digital twin format depends on three things: what task the system faces, what volume of data needs to be processed, and what result you want to get within the next few months.
If the goal is to test a hypothesis, debug processes at a single facility, or get quick results for management, a pilot project is enough.
But if you plan to manage the entire water supply network, predict failures, and optimize costs over the long term, full implementation is needed.
A pilot project is justified when the network is small, data is collected manually, or you are just starting digitalization. It allows you to see real benefits in 2–3 months: where losses occur, which sections require attention, how equipment behaves at different times of day.
This has a low budget entry threshold and minimal load on your team. Full implementation is chosen when the network is branched, data comes from many sensors, and decisions need to be made in real time — for example, redistributing load during peak consumption.
Budget and complexity are directly related here. A pilot is limited functionality that solves a local task and does not require serious integration with accounting systems.
Full implementation is comprehensive work: connecting all data sources, setting up analytics, training personnel, and supporting the system.
It is more expensive at the start, but it is what delivers measurable effects: reducing water losses, lowering emergency outages, and extending equipment service life.
The optimal strategy for most enterprises is to start with a pilot in one district or at one pumping station. This way you get concrete figures, on the basis of which it is easy to defend the budget before management and scale the solution to the entire network.
We help choose the right format already at the brief stage: we analyze your infrastructure, goals, and real constraints, after which we propose the option that will pay off fastest.
Common customer concerns: answering questions
Are you worried that a digital twin of the water supply system won't pay off and will disrupt current processes? That's understandable: network stability, budget, and timelines are at stake.
We answer the questions customers ask before starting — briefly and without complex technical specifications.
How long does development take?
The first working prototype on one network section appears in 3-4 weeks. During this time you see how the model calculates losses, predicts failures, and helps manage pressure.
Full implementation usually takes 2-3 months, depending on the size of the network and the number of data sources. The result isn't "in the distant future" — the first valuable insights are available within a month.
Where does the data come from and how accurate is it? We use data from your dispatch systems, archives, network data sheets, and failure logs. Gaps are restored through modeling, and the result is verified against actual pressure and flow measurements.
Thanks to this, the digital twin reflects the actual state of the network, and recommendations can be applied in daily operations without lengthy trial checks.
What are the risks to the existing system? A digital twin is a virtual copy of the network; it does not connect to control directly. All scenarios — from leak detection to load redistribution — are first tested on the model.
Real equipment switches to new modes only after your approval. This approach eliminates downtime and accidents caused by implementation errors.
What guarantees are there, and when will payback appear? We fix in the contract the timelines, scope of work, and performance indicators: reduction of water losses, energy savings, reduced time to locate failures.
We provide a warranty on the model's operation and technical support after launch. Payback occurs within a year through reduced repair costs and resource overspending, and the first effects are noticeable already at the initial section.
Order the development of a digital twin — get a cost calculation
Do you already know the cost of accidents, leaks, and unplanned repairs? A digital twin of a water supply system shows the network as a whole: where pressure drops, where pipes wear out, and which section will require investment first.
Such a solution pays for itself through reduced losses and extended service life of infrastructure — and we will help evaluate it for your enterprise.
To get an accurate calculation, you do not need to fill out dozens of forms. Just leave a request — then we will take over communication and prepare a proposal tailored to your specifics.
What you will get after submitting a request:
- A personal manager: they will be assigned to the project, answer general questions, and collect source data within one business day.
- A consultation with an engineer: we will discuss the pain points of your network and determine whether a full-scale twin is needed or a pilot module is sufficient.
- Cost and timeline calculation for your scale: number of facilities, length of networks, need to integrate with metering systems. The estimate will be transparent — with no hidden extra charges.
- A recommendation for a pilot section: we will choose a location where the benefit of the twin will become apparent as quickly as possible.
- A proposal for implementation stages and a schedule for demonstrating a working prototype.
Leave a request today — in just two business days you will receive a calculation and understand when the twin will start saving your resources. After the pilot, you will be able to scale the solution to the entire network, relying on real numbers, not promises.