A Scottish innovation centre and a university spin-out are developing a project that uses the Internet of Things (IoT) sensors to detect corrosion hidden under insulation in the oil and nuclear, gas, renewables, and construction sectors.
They will try to use remote sensors to continue to monitor corrosion rather than removing insulation physically. Except reducing the financial costs related to manual corrosion monitoring (which may involve assets being shut down), CENSIS and CorrosionRADAR want to decrease the demand for people to remove insulation in challenging conditions. Their project could also open the way for a predictive maintenance regime, based on cloud-based data analytics and IoT infrastructure.
Compared to manual selective monitoring, this method is more proactive and more cost-effective. Predictive maintenance could help operators prevent the failure of assets caused by corrosion. Operators will face the troubles of downtime and lost revenues. Operators in these industries have more abilities to extend the life of their assets by distributing sensors and having predictive monitoring capabilities.
Solvay, a chemical company, is already trialling a CorrosionRADAR distributed sensor system on its factory. Alvaro Martinez Lopez, corporate excellence manufacturing engineer at Solvay said: “Across a range of industries, IoT and sensor enables the better data to become possible and operators to make informed decisions around corrosion, and the fitness for purpose and safety of assets.”
Dr Rachael Wakefield, CENSIS business development manager, said: “The main aim of the CENSIS’s project that cooperated with CorrosionRADAR is solving the corrosion problem, but it relates to a wider change: our infrastructures become smarter duo to the digital enablement and the use of IoT and sensor systems.”