PROCESS IMAGING SYSTEM

Every phase. Every vessel. In real time.

Wrap electrodes around the outside of a vessel and the field between them already carries the answer — it bends differently through gas, liquid, and solid.

The measurement problem

Nothing that touches the flow, or looks through it, can tell you what a sealed vessel is doing inside.

Inside a pressurised vessel, gas bubbles rise through slurry. Liquid slugs form and collapse in pipelines. Solids cycle through a fluidised bed. None of it can be measured by putting something into the flow to find out.

A probe pushed into the vessel changes the very flow it is trying to record. Light-based methods stop at the first opaque surface. Radiography cannot deliver a full volume fast enough to keep up with the process.

The way around this is to not enter the vessel at all.

An array of electrodes placed on the outside wall sets up an electric field that passes straight through whatever is inside. That field bends differently depending on what it passes through — gas, liquid, and solid each hold their own dielectric permittivity (how strongly a material responds to an electric field). Measuring how the field bends across every electrode pair is enough to reveal how the phases are arranged inside.

Turning that raw capacitance data into an actual 3D picture is where 3D-NN-MOIRT (3D Neural Network Multi-criterion Optimization Image Reconstruction Technique — the algorithm that turns field readings into a volume image) does its work: rather than approximating the relationship between permittivity and capacitance as linear — the older, cruder approach — it solves the real non-linear relationship directly, so the resulting image matches what is physically there.

Underneath that reconstruction sits a multi-channel array (8 to 64 channels depending on the vessel), FPGA-based quadrature phase detection, and CMOS T-configuration (a switching layout that cancels out stray, unwanted capacitance picked up by the wiring itself) switching built specifically to keep the measurement clean enough to resolve 0.21–0.42 fF at four frames per second.

The measurement chain

How a reading on the outside of the wall becomes a picture of what's moving inside.

01 — Electrodes stay outside Ring of electrodes, vessel wall 02 — Switching cancels stray signal T-config switch 0.21–0.42 fF Stray capacitance stripped out 03 — 3D-NN-MOIRT reconstructs Volumetric permittivity map 04 — Phase fractions separate Gas Liquid Solid Holdups & flow regime, 4 fps
01
Electrodes stay outside
A three-layer ring of electrodes wraps the vessel from the outside — 8 to 64 of them, depending on how large the vessel is. Nothing penetrates the wall, nothing touches the process fluid, and the vessel keeps running exactly as it would without the sensor there.
02
Switching clean enough to matter
Every electrode pair is cycled through in turn, and the T-configuration switching architecture exists for one reason: stray capacitance picked up by ordinary wiring is large enough to bury the real signal, so the circuit is built specifically to strip it out before it ever reaches the reading — which is what makes 0.21–0.42 fF resolution possible at all.
03
Solving for the real shape, not a guess
3D-NN-MOIRT takes the full set of capacitance readings and solves directly for the volumetric permittivity distribution that could have produced them. Because it works on the true 3D sensitivity matrix rather than stacking 2D slices and interpolating between them, the resulting image reflects the vessel's actual internal shape.
04
The phases separate themselves out
Once the permittivity map exists, gas, liquid, and solid holdups, void fractions, and flow regime are already sitting inside it — because each phase carries its own permittivity, they read apart from each other automatically, continuously, four times every second.
ECVT process imaging
What the research resolved

Phenomena no one had actually seen happen, only inferred from what came out the other end.

The choking transition in a circulating fluidised bed — the moment a dilute stream of solids suddenly collapses into slugging flow — had never been watched as it happened inside the bed itself. It could only be detected indirectly, from pressure or flow changes elsewhere in the system.

A three-layer 12-channel cylindrical ECVT sensor was set around a 0.1 m ID circulating fluidised bed. Because the sensor reads the whole volume rather than a single point, it captured the actual solids holdup redistributing in real time as the transition occurred — the first time the choking phenomenon had been seen volumetrically rather than inferred.

The same sensor, wrapped around a gas-liquid bubble column running air through Norpar 15, picked up spiral bubble motion tracing through the full 3D volume — a trajectory no 2D imaging method could have followed, since it leaves the plane a flat image would be limited to.

The first time the choking phenomenon had been seen volumetrically, rather than inferred.

The same sensing approach was then tested across a much wider range of vessels, from 1 inch up to 60 inches, including a 12-inch gas-solid fluidised bed with horizontal gas jets penetrating the flow, confirming that the underlying principle scales with vessel size rather than being limited to one geometry.

The same sensor architecture was later taken out of industrial vessels altogether and applied to soil water infiltration, on the reasoning that if the technique is really just reading permittivity distributions, there is nothing industrial-specific about it — a reasoning the results bore out.

Industrial environments

Wherever a wall separates what you need to know from what you can see.

Each of these is a case where the flow could not be reached without disturbing it — so the measurement had to come from outside instead.

Circulating Fluidised Beds

The choking transition happens too fast and too internally for a probe to catch cleanly — the exterior sensor watches it unfold in the full volume instead.

Bubble Columns

Bubbles spiral out of the flat plane any 2D method would be confined to — the sensor follows them because it was never limited to a plane to begin with.

Three-Phase Systems

Because gas, liquid, and solid each carry their own permittivity, one exterior reading separates all three at once — no probe placed in any of them.

Gas-Solid Fluidised Beds

A horizontal gas jet developing inside a 12-inch bed is exactly the kind of internal event a wall-mounted point sensor would miss entirely.

Pipeline & Complex Geometry

Bends and T-junctions distort flow in ways a straight-pipe sensor can't follow — the volumetric reading doesn't care what shape the vessel takes.

Geophysical & Environmental

Soil water infiltration is still just a permittivity distribution moving through a volume — the same sensor reads it the same way, outside industry altogether.