SPRINT Robotics Cleaning & Fabric Maintenance Challenge

Cleaning & Fabric Maintenance can cause significant operational, economic and safety challenges. There is a strong drive within the oil and gas industry to replace traditional manual or man entry applications with new robotic tools that can streamline the workflow process, minimizing Confined Space Entries (CSEs), Scaffolding, and Rope Access activities. SPRINT Robotics is managing and executing a four to six-month

In particular, the highest incidents of cleaning and fabric maintenance activities are caused by CSEs, as per industry statistics. Current cleaning and fabric maintenance tools available are being identified as candidates for robotization.

CFM (Cleaning & Fabric Maintenance) Challenge aims to accelerate the development and utilization of Cleaning & Fabric Maintenance.

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Often, due to the challenging geometries and hard to access areas of the asset, manual human operation of these cleaning and fabric maintenance tasks is carried out requiring some form of CSE’s, scaffolding, and rope access for entry. Manual water jetting and blasting at high pressure can be hazardous to the operator before adding the complexity of a CSE, for example.

In particular, the highest incidents of cleaning and fabric maintenance activities are caused by CSEs, as per industry statistics. Current cleaning and fabric maintenance tools available are being identified as candidates for robotization. Additionally, there is a strong drive to replace traditional cleaning and fabric maintenance tasks to a more remotely performed operation, which eliminates manual labor-intensive tasks and results in a significant reduction of exposure hours while also improving the quality, speed, and overall safety of the maintenance activity workflow.

The CFM Challenge focuses on demonstrable robotic solutions that can address cleaning and fabric maintenance activities on magnetic storage tanks, pressure vessels, and piping systems that can reduce the overall maintenance cost and safety risks associated.

Submissions to this Challenge must be received by 11:34 a.m. EEST, July 31, 2020.

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