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INVENIO CUI Wireless Sensors System

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Smart Sensor Network for CUI Condition Monitoring

Page last modified

August 4 2023

INVENIO is a comprehensive hardware and software solution designed to monitor, analyze and predict the potential for Corrosion Under Insulation (CUI). It is based on the installation of a wireless sensor network (with no need to remove insulation) that enables data-driven CUI management based on real-time humidity measurements. The
combination of analyzed and processed data (i.e. machine learning algorithms), real-time data (typically 1 measurement per hour), and long battery lifetime (+10 years) make INVENIO a unique solution for long-term and high-scale deployment in industrial plants.

Pro/con

Minimize HSE risk exposure - Reduce unnecessary scaffolding

Wireless Sensors System powered by batteries with long lifetime

Data driven CUI Prediction/monitoring

Data Driven RBI - Easy web-based Dashboard for data visualization and interface to customers' systems

Asset Extended life

Decrease maintenance and inspection costs (<35%)

No need to inspect/replace good insulation (around 50% of total insulation inspected)

Install by site maintenance crew - no addition POB

Not yet available in 5G (under development)

Specification

Areas of Applications Insulated pipelines, off-shore and on-shores installations

ATEX and IECEx Certified Ex certification - ATEX and IECEx intrinsically safe, zone 0, gas group IIC, temp class T4

Battery Powered Wireless sensors Long lifetime and no wire

Installation Cost Small footprint, easy to deploy, no need to remove existing insulation and cladding, use of existing maintenance/inspection crews for installation.

Data Storage - Industrial IoT Cloud based storage, analytics and data visualization

Connectivity Cellular, Wi-Fi, ethernet, RS485

Data Coverage High resolution 1 measurement/hour adjustable to detect, monitor and predict CUI using installed wireless sensors in insulated piping

Digital Twin Dynamic CUI risk modelling and direct input to internal maintenance systems and digital twins

System manufcaturing In House manufacturing