Iron and Steel Industry manages asset performance with T-Pulse for Workplace Inspections

Critical observations identified in 6 months
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Data retention and reference
0 %
Decision-making through
cross-platform collaboration
0 x
Unplanned Outages are a nightmarish scenario for process industries as they can cost up to 10X more than planned maintenance activities. That is why zero unplanned downtime is increasingly becoming a priority for organizations. Asset Failures have been identified as the leading causes of unplanned outages. Ideally, organizations should be able to identify defects and take preemptive measures in time to avoid such scenarios.
However, manual methods of asset inspection/performance audit are expensive, time-consuming, and prone to safety hazards. Thankfully, with the advancement in digital solutions, it is finally possible to increase asset lifetime with real-time autonomous assessment.
The maintenance team at a prominent steel facility in India 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

Jharkhand, India

Data Sources Leveraged

Noctua.AI™, APIS™

Objectives

Automate asset inspection for chimneys and civil structures, and reduce asset failures.

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

We at Detect have come together to accelerate digital transformation by automating and streamlining process-intensive industrial processes. Once contacted by the Iron and Steel enterprise, we spent no time understanding their requirements, workflows, and processes and got to work unifying other disparate aspects of operational data. Within the span of a week, we completely automated their inspection processes with T-Pulse Maintenance Assistant. Going a step further, we deployed our patented API technology to fully automate their UAV-based asset thickness data acquisition.
An amalgamation of patented edge hardware and sophisticated numeric models, T-Pulse for Workplace Inspections, leverages deep learning AI algorithms to mine information on asset degradation and optimize maintenance activities. With T-Pulse Maintenance Assistant, the maintenance staff at this facility could finally –

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.

Are you ready to experience T-Pulse?

Meet highest compliance, monitor all occupational risks, and get recommended actions to achieve global safety benchmark.