Iron and Steel Industry manages asset performance with T-Pulse for Workplace Inspections
cross-platform collaboration
The maintenance team at a prominent steel facility in APAC region wanted to automate workplace inspections with the aim of improving the reliability of their civil structures and chimneys. They intended to leverage advanced digital technologies like AI dashboards, robotics, sensors, cameras, and other connected IoT assets to automate visual, thermal, and sensory monitoring of the structures.
Industry
Steel
Location
APAC
Data Sources Leveraged
Noctua.AIâ„¢, APISâ„¢
Objectives
Results
Received recommendations to avoid asset failures
300% increase in regular asset inspections
300+ critical observations within six months
2X increase in decision-making with the right information
Eliminated scaffolding costs for inspection of assets
Introducing the T-Pulse Maintenance Assistant for Workplace Inspections
- Make sense of unstructured data aggregated from multiple visual, sensory, and thermal sources.
- Pinpoint points of interest and isolate areas needing remediation.
- Track component-wise spares and items needed to carry out maintenance activities.
- Identify anomalies and deviations proactively.
- Get expert insights, recommendations, and guidance for repairs.
- Take corrective measures for improved asset availability and optimum production yield.
- Implement change management policies and track progress in real time.
- Track tasks, subtasks, progress, and delays via a centralized platform.
Real-time asset performance management with T-Pulse for Workplace Inspections
T-Pulse Maintenance Assistant extracts intelligence from visual and sensory asset monitoring data sources and aggregates it into a centralized performance management platform. Convert disparate data into intelligent recommendations and create a customized maintenance plan with T-Pulse for Workplace Inspections.
In our steel plant implementation, over 500 civil structures and 100+ chimneys were selected to be managed. Apart from the convenience of managing everything from a single dashboard, our client experienced a 200% increase in data retention and referencing.
From being able to inspect 1 asset every week, they could now inspect up to 5 assets every single day!
Within the first 6 months of implementation, our client was able to identify 300+ critical observations, conduct more than 150 maintenance activities, and witness a 2X increase in decision-making.
The Maintenance Assistant of T-Pulse for Workplace Inspections played a significant part in improving their asset availability and production yield and has formed the core of their predictive maintenance activities ever since.
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