Key Takeaways

• A digital twin is a virtual replica of a real sewer system asset.
• It helps utilities target cleaning, find inflow and infiltration, and prioritize manhole rehabilitation.
• Compared with periodic inspection, it catches issues earlier and spreads inspection budgets further.

For decades, keeping a city’s sewers healthy meant reacting after problems surfaced: a backup here, an overflow there, a crew sent to clean miles of pipe that may not have needed it; digital twins change that pattern. By building a working virtual replica of the collection system, utilities can watch how their infrastructure actually behaves and act on what the data shows instead of following a fixed schedule. This article explains what the technology is, how it works, and what it takes to put it to work.

What Is a Digital Twin in Wastewater Treatment?

A digital twin is a virtual model of a physical system asset. In wastewater, that means a digital version of pipes, manholes, lift stations, and flows, often kept current by data from the field. These digital models live in a computer, where they can be examined, measured, and updated with live or periodic data.

Key Components of a Wastewater Digital Twin: Sensors, Data, and AI

Sensors in the Field

Sensors are the eyes and ears. Acoustic devices gauge whether a line is clean or blocked, flow and level sensors track how wastewater moves through a basin, and inspection tools capture the physical condition of manholes and pipe walls. Together they turn invisible underground behavior into measurable signals.

A Continuous Data Stream

Those signals feed a steady stream of data into the model. Rather than a single inspection frozen in time, the twin draws on readings collected across days, storms, and seasons, letting it show patterns a one-time check would miss.

How Digital Twin Systems Turn Data Into Predictive Insights

A practical example is inflow and infiltration, where stormwater leaks into a sanitary sewer and drives up treatment costs. A digital twin watching how flow responds to rainfall across a basin can pinpoint where that water is entering, often within a few hundred feet, after only a handful of storms. The same approach applies to condition: by tracking degradation over time, the model can estimate which manholes or lines are most likely to fail next. That lets a utility schedule rehabilitation before a backup forces a costly emergency response.

Benefits of Implementing Digital Twin Technology in Wastewater Management

Lower, Smarter Maintenance Spending

Crews stop cleaning clean pipes and inspecting sound manholes. Effort goes where the data points, cutting labor hours and stretching a fixed budget further.

Earlier Problem Detection

Catching a developing failure early usually means a routine repair instead of an emergency dig or a sanitary sewer overflow.

Longer Asset Life and Better Planning

A clear, current picture of condition supports proactive maintenance and strengthens the documentation behind compliance programs such as a Sewer System Management Plan (SSMP). Utilities can plan rehabilitation around real need and risk, extending the life of infrastructure they already own.

Digital Twins vs. Traditional Sewer Monitoring and Inspection Methods

Traditional methods such as CCTV and manual manhole inspection are valuable, but they are slow, labor-intensive, and do not quantify problems. A crew might inspect a fraction of the system each year.

A digital twin works differently. It monitors continuously, covers far more of the system at once, and keeps a running history rather than isolated snapshots. The goal is not to abandon physical inspection but to aim it. The twin tells you which assets deserve a closer look, so the hands-on work that happens is targeted and cost-effective.

What It Takes to Deploy a Digital Twin System in a Municipal Utility

Standing up a digital twin is more approachable than many utilities expect, and it does not require tearing out existing systems.

Start With the Data You Have

Most utilities already hold GIS records, maintenance history, and some monitoring. A twin builds on that foundation rather than replacing it, integrating with existing SCADA and GIS platforms.

Add Sensing and Modeling

Sensors and assessment tools fill the gaps in real-world condition data, and the model is calibrated to your system so its outputs reflect local reality.

Begin Where the Risk Is

The smartest deployments start with the highest-priority basins, prove the value, and expand. Useful data often arrives quickly, sometimes within a few storms for inflow and infiltration work, building confidence for a wider rollout.

Bringing Digital Twin Technology to Your Wastewater System

Digital twin wastewater treatment marks a real shift in how cities care for their collection systems, moving from reactive, labor-heavy upkeep toward a smarter approach driven by current data. As infrastructure ages and budgets tighten, the utilities that adopt it get ahead of failures instead of chasing them.

RH Borden is a trusted wastewater technology provider based in Lehi, Utah, serving municipalities across the United States with advanced, data-driven sewer system maintenance solutions. We help cities transition from traditional, labor-intensive maintenance to smarter, technology-enabled infrastructure management. Our solutions include Acoustic Assessments using SL-RAT technology to quickly identify cleaning priorities, BASINiQ sensor networks for detecting inflow and infiltration across sewer basins, and Manhole Virtual Models that create digital twins of infrastructure assets to assess condition and guide rehabilitation decisions. The result is better efficiency, lower unnecessary maintenance costs, and longer infrastructure life through actionable, data-driven insight. Contact us today at 385-510-3223.

Frequently Asked Questions

Is a digital twin worth it for a small or mid-sized utility, or only for large systems?

It is worth it at any size. Smaller utilities often feel tight budgets most sharply, and a digital twin helps a limited crew spend its hours only where they count.

How accurate is a digital twin compared to sending a crew out to physically inspect?

A well-calibrated twin reflects real conditions closely and, depending on the type of twin, updates continuously. The two work best together: the twin directs crews to the assets that most need a hands-on look.

Will a digital twin work with our existing GIS and SCADA, or do we have to replace them?

It works alongside them. A digital twin is built to integrate with the GIS and SCADA platforms you already use, enriching that data rather than forcing a costly rip-and-replace.

How long does it take to build a digital twin of our system before we see useful data?

It varies by scope, but results can come quickly. For inflow and infiltration work, meaningful findings often appear after only a few storms, not months.

Who owns the data the digital twin generates, and how is it kept secure?

The utility owns its operational data. A reputable provider handles it under clear agreements and standard security practices, so the insights stay with the people responsible for the system.