Steel & Materials
Material quality and energy
efficiency, secured together
Data scattered across heat treatment, forming and coating is connected through an ontology, and an AI agent catches the shifts that move quality first and explains the cause. From target-power load control to heat-treatment temperature pattern analysis and vibration-based equipment monitoring.
These are the problems on
steel and materials sites today
- Small process shifts decide quality
- Furnaces, compressed air and cooling water run continuously
- A slight difference stays in the product
- Heat treatment needs stability and energy control together
- Temperature, hold time and cooling set the properties
- Getting only one right will not reproduce the result
- Energy flow is complex
- Peaks come often
- Energy is scattered across processes
- High-temperature, high-power equipment runs together
- Over-consuming segments are hard to pin down
- Peak demand is hard to pin down
This is how
Refinery solves it
Peak demand monitoring and target-based load control
- Problem
- Peaks driven up by high-power equipment running together
- Approach
- A target demand is set and peak usage is held inside it, with an alert raised before the target is exceeded.
- Outcome
- Lower electricity charges and reduced peak risk
Demand-based compressed air control and monitoring
- Problem
- Compressed air equipment running hard regardless of actual demand
- Approach
- Power draw, header flow, temperature and humidity are measured together so supply is controlled to match demand.
- Outcome
- Lower energy use and longer equipment life
Heat-treatment temperature and time analysis
- Problem
- Process deviations confirmed only after the piece comes out of the furnace
- Approach
- Heat-treatment furnace temperature, hold time and cooling curves are overlaid batch by batch and compared with the normal pattern.
- Outcome
- Steadier material quality
Energy flow visualized by process
- Problem
- No visibility into which processes are eating up the energy
- Approach
- Processes and assets are connected through an ontology so energy flow gathers into one structure, and use by process can be compared on equal terms.
- Outcome
- Over-consuming segments identified and process efficiency improved
Remote cooling water control and monitoring
- Problem
- Cooling water equipment that has to be checked in person on site
- Approach
- Cooling water temperature, flow and pump state are monitored remotely, and any departure from the band is raised at once.
- Outcome
- Steadier equipment operation
Vibration-based equipment monitoring
- Problem
- Rotating-equipment anomalies that surface only after a stop
- Approach
- An AI agent reads anomalies in vibration trends to catch early signs, and proposes both the likely cause and the next action with the history behind it.
- Outcome
- Failures prevented and maintenance made more efficient
How it fits together
How field data gains meaning and turns into a decision.
- Heat-treatment furnaces
- compressed air
- cooling water
- forming equipment sensors
- SCADA
- PLC
- Plant EMS
- Modbus TCP
- CAN
- LTE-M
- Ontology
- AI agent
- rules and automation
- Process dashboard
- peak alerts
- quality history
Where PLC or a plant EMS already exists, a layer sits on top of it and integrates bidirectionally rather than replacing it. Where none exists, collection is built from the ground up.
Systems we connect to
The systems and protocols commonly used on steel sites.
Systems not listed here can still be connected over standard protocols and APIs. Get in touch and we will walk through it.
What you gain
Benefits across operations, engineering and management.
Steadier heat-treatment quality
Temperature patterns are recorded batch by batch so the same result is reproduced.
Compressed air matched to demand
Only what is needed is supplied, cutting waste and leaks.
Peak demand caught early
Load is lowered before peak demand is reached.
Energy variance by process
Energy is split process by process to pin over-consuming segments.
Failures prevented
Vibration catches anomalies early, making maintenance more efficient.
