LT 904 Pipe Thickness Monitor

Overview

The Lightwaves LT 904 Pipe Thickness Monitor provides real-time monitoring solutions for corrosion/erosion in pipelines. It integrates mature ultrasonic pipe thickness monitoring sensors, advanced real-time data transmission hardware, and data visualization suite, delivering highly accurate and repeatable measurements of pipe thickness, metal loss, and corrosion/erosion monitoring. This system is an important tool for studying metal corrosion/erosion rates and mechanisms, providing reliable data for the selection of corrosion/erosion prevention processes.


Features

Safe, convenient and reliable

Real-time monitoring & high cost performance

Global remote visualization, with an optional local secure cloud

High-repeatability and high-accuracy data and trend analysis

Non-invasive, ideally choice for applications in high temperature, high pressure and acidic environments

Directly measure the absolute wall thickness to identify corrosion/erosion activities early

                               904-features-Diagram of 3D acoustic thickness.png

                                        Diagram of 3D acoustic thickness 


Principle

Based on echo sensing technology, the LT 904 Pipe Thickness Monitor uses high-frequency sound waves generated by piezoelectric transducers to pass through materials. It measures the time for echoes to return to the sensor or records the amplitude of sound waves when resonance occurs as signals to detect defects or measure absolute pipe thickness. It can identify corrosion/erosion activities at an early stage, allowing for continuous monitoring in high-risk areas and providing accurate and repeatable results.

                             904-principle.png

                                                                                        Principle of Pipe Thickness Monitor

Technical Parameters

LT 904 Pipe Thickness Monitor

Output Data:

Pipe thickness, corrosion/erosion rate, metal loss rate, temperature, raw signals, etc.

Pipe Size:

Diameter ≥ 80 mm

Thickness:

3 mm to 500 mm

Repeatability:

< 2.5 μm

Pipe Material:

Steel or solid homogeneous materials

Coating Material:

Can penetrate external uniform PE/PP/FBE coatings

Sensor:

Pulse/echo, 10 mm diameter, 5~25 MHz sampling frequency

Power Consumption:

< 1 W (active), < 0.1 W (idle)

Number of Sensors:

Flexibly configurable

Installation Method:

Non-intrusive clamping installation on the outer wall of the pipe

Temp Range:

-40℃~+125℃, ±0.1℃

Thickness Loss Rate Resolution:

When the pipe wall thickness is 10mm and the temperature difference is within ±1℃, data is collected once a day. For a corrosion rate of 0.04mm/year, monitoring time is 30 days; for a corrosion rate of 0.002mm/year, monitoring time is 1 year, with a data reliability of 95%.

Explosion Proof:

Ex ib lIB T4 Gb

Protection Rating:

IP66, IP67, IP68 (optional)

Software:

Based on Windows operating system, debuggable and operable DKPipeDia monitoring station; provides corrosion rate, thickness, temperature data, historical trends, and raw signals.

PC Requirements:

Core i5 processor, 8GB RAM, 512GB storage hard drive

Server Output:

Modbus RTU, Modbus TCP, web-based interface (optional)

Portable Data Logger:

Operates and powers the monitoring station via Wi-Fi, Bluetooth, or communicates with fixed data recorders via Bluetooth or USB

Operating System:

Windows, with full DKPipeDia software

Cable Box:

Protection rating IP65, stainless steel material for field cable box

Fixed Data Recorder:

Self-operating monitoring station installed in a stainless steel enclosure with protection rating IP65

Power Supply:

9~36V DC, 110~24 V AC, battery

Power Consumption:

< 6 W

Communication:

Wi-Fi, LoRa, 4G, Ethernet, Modbus TCP/IP, OPC (optional)

Pipe Operating Temperature:

-40℃~ +125℃

Ambient Temperature:

-40℃~ +60℃

Operating Modes:

Manual, semi-automatic, fully automatic (configurable)


Applications

High corrosive medium pipeline

Reactor outlet pipeline

Catalyst conveying pipeline

Boiler feed water/steam pipeline

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