Steel Plant Automation & Digital Transformation Built Around the Melt Shop, Not a Generic Factory Floor
We work across the steel value chain -- from raw material yards and melt shops to rolling, dispatch, and plant-wide energy management -- bringing IoT, machine vision, and automation to the specific problems steel producers actually have: ladle wear, energy-intensive processes, legacy multi-vendor control systems, and safety-critical zones, not a generic 'Industry 4.0' pitch adapted for steel after the fact. Every capability on this page is already running in production at steel plants, in India and internationally -- not a concept on a roadmap.
The Weight of Complexity in Steel Operations
Melt shop and rolling mill control systems built up over decades, often on three or four different PLC and SCADA vendors that were never meant to share a screen
Ladle refractory wear and cycle time tracked on paper or in someone's memory, until a ladle fails mid-heat or sits idle when the caster needs it
Rotary kiln ring (accretion) formation in DRI operations building up gradually until it forces an unplanned shutdown, discovered only once it's already a problem
Specific energy consumption across EAF, ladle furnace, and rolling mill operations reviewed monthly instead of managed in real time, so waste compounds for weeks before anyone sees it
Conveyor and material-handling systems -- ore, coke, sinter, finished product -- running long distances across a site where a foreign object, belt wear, or misalignment isn't caught until it causes damage or a stoppage
Fire, smoke, and oil-leakage risk around furnaces, hydraulics, and electricals that depends on a person physically noticing it in time
Dispatch and logistics -- truck and rail loading, weighbridge, gate sequencing -- coordinated manually across a high-tonnage, low-margin product where a delay costs real money
A production ERP that either doesn't exist or doesn't reflect what's actually happening on the shop floor
None of this is unique to any one plant -- it's the shape of running a steel operation at scale. It's also exactly where we've spent our engineering time.
Value Chain
Where We Work Across the Steel Value Chain
Steel is not one problem -- it's a chain of very different operations, each with its own failure modes. Here's where we actually have engagements, stage by stage:
Raw Material Yard & Conveyor Systems
- Machine-vision detection of foreign particles on conveyors carrying raw material, catching contamination before it reaches the process
- Belt wear and tear detection, flagging degradation before it causes a failure or a safety incident
- Already deployed at steel plants' raw material handling operations, built on EpsumThings' Vision AI
Melt Shop & Secondary Metallurgy
- Ladle Management System tracking ladle lifecycle, refractory wear, and cycle scheduling, so a ladle's condition and availability are known before it becomes a bottleneck between the furnace and the caster
- Condition-Based Monitoring System (CBMS) tracking equipment health in and around the melt shop, flagging degradation before it causes unplanned downtime
- Both are live deployments at steel plants today, not concepts on a roadmap
Rotary Kiln & DRI Operations
- Machine-vision-based detection of kiln ring (accretion) formation -- a well-known cause of forced DRI kiln shutdowns -- flagged early enough to plan an intervention instead of reacting to a shutdown
- Deployed alongside conveyor foreign-particle and wear detection, as part of the same Vision AI rollout at DRI operations
Material Handling & Conveyor Monitoring at Scale
- Machine-vision monitoring of high-incline Flexowell conveyor systems, used for steep-angle bulk material transport where a physical inspection walk isn't practical
- Delivered as part of a Field Command Center model -- a centralized, camera- and sensor-fed monitoring hub for exactly this kind of distributed material-handling infrastructure
Plant-Wide Automation & SCADA Modernization
- Level-2 process automation -- the optimization and model-based control layer above basic PLC control -- upgraded and modernized rather than left to age out
- Multi-vendor SCADA upgrades bringing legacy control rooms onto a unified, browser-based Web-SCADA view instead of leaving each system on its own screen
- Delivered across multiple steel plants, spanning Level-2 process optimization and SCADA modernization projects
Energy & Utilities Management
- Real-time energy monitoring across EAF, ladle furnace, rolling mill, and utility systems, tracking specific consumption instead of a monthly aggregate bill
- Consumption tied to production output, so a spike is visible against what was actually produced, not just a total number
- Deployed at multiple steel plants, as both a standalone Energy Monitoring System and an integrated energy monitoring solution
Fire, Smoke & Safety Detection
- Machine-vision-based detection of fire, smoke, and oil leakage around furnaces, hydraulics, and electrical systems -- catching a hazard before it becomes an incident, not after
- Deployed at steel plants, running on the same Vision AI capability used elsewhere in the value chain for quality and asset-health detection
Remote & Multi-Site Monitoring
- LoRa-based wireless connectivity extending real-time monitoring to remote or hard-to-cable areas of a plant, including live weight data pushed wirelessly to large LED displays at the weighbridge
- LoRa-based remote monitoring deployed at multiple steel plants, alongside a centralized Field Command Center model consolidating camera- and sensor-fed monitoring for distributed infrastructure
Dispatch & Logistics
- Dispatch Management System coordinating truck and rail loading, weighbridge integration, and gate sequencing for high-tonnage outbound product
- Deployed at steel plants, connecting production output to what's actually leaving the gate
Enterprise & ERP Layer
- Manufacturing ERP tying production planning, inventory, and shop-floor data into one system rather than a spreadsheet-driven process
- Delivered alongside Vision AI deployments at the same plants -- ERP and shop-floor intelligence built by the same team rather than stitched together from separate vendors
Machine Vision Across Steel Operations
Machine vision is one of our most-deployed capabilities in steel, solving genuinely different problems with the same underlying Vision AI capability:
Furnace & electrical hazards
Fire, smoke, and oil-leakage detection around furnaces and electricals.
Conveyors, at every angle
Foreign-particle detection and belt wear monitoring on conveyors, and high-incline Flexowell conveyor monitoring.
Kiln ring formation
Rotary kiln ring / accretion formation detection in DRI operations.
The same camera-and-model infrastructure adapts to what a plant actually needs watched, instead of being a fixed, single-purpose vision product.
LoRa-Based Remote Connectivity in Steel Plants
Large steel plants have areas that are expensive or impractical to run new cabling to -- remote yards, distant conveyors, weighbridges far from the control room. LoRa-based wireless connectivity extends monitoring to those areas without a dedicated fibre run, already deployed at steel plants for real-time remote monitoring and for pushing live weight data wirelessly to large LED displays.
Built on EpsumThings
Every capability on this page runs on EpsumThings, Hailiot's industrial operations platform -- Unified Data Lake for multi-vendor data integration, Web-SCADA for unified control-room visibility, SCADAA for trend and deviation analytics, Vision AI for the machine-vision work described above, Workflow Automation for maintenance and safety workflows, and AI Agents for the next layer of autonomous decision support.
Steel is where this platform has been proven across the widest range of its capability -- not a single feature, across several plants.
Why Steel Producers Work With Us
Process-Specific Technical Depth
Ladle cycles, kiln ring formation, EAF energy intensity -- not a generic industrial-IoT pitch adapted for steel.
One Connected Platform
One platform across automation, energy, machine vision, ERP, and logistics, instead of a different vendor for each capability.
Multi-Vendor by Design
SCADA and PLC upgrades that unify what's already running rather than forcing a single-brand standard.
Proven Globally
Proven internationally as well as domestically, with active deployments outside India as well as within it.
Results Steel Producers Achieve
Equipment health and ladle condition visible before they become a bottleneck or a failure, instead of found out the hard way
Energy consumption tracked against actual output, in real time, instead of reviewed once a month
Safety hazards -- fire, smoke, unauthorized movement -- flagged as they develop, not discovered after the fact
Multi-vendor control systems unified into one view, instead of a control room with three different screens
Production, dispatch, and ERP data connected end to end, instead of production happening on one system and the paperwork on another
Frequently Asked Questions
Across the value chain -- raw material handling, DRI/rotary kiln operations, melt shop, rolling, and dispatch are all represented in our steel engagements, not just one stage.
Have a Question, or Running Steel Operations on Legacy, Disconnected Systems?
If ladle condition, kiln health, energy consumption, or plant safety depends on someone noticing in time rather than a system flagging it automatically, that's exactly the gap our steel deployments are built to close.