どのように動作しますか

What it simulates

A steel mini-mill: an electric arc furnace melting heats, a ladle metallurgy furnace and a continuous caster, with the mill's utilities around them. Eight devices, 122 tags, over OPC UA.

Batch and continuous in one material flow. The furnace works in heats and the caster runs a strand, the caster is the pacemaker and the melt shop is sized to stay a minute ahead of it, which is what makes an upset in one visible in the other.

• furnace power, electrode positions, bath temperature and chemistry per heat
• ladle treatment and casting speed, mould level and shell temperatures
• station demand against the billed 15 minute peak

What it configures on Litmus Edge

On startup, and it removes exactly what it created when you are finished:

• 8 DeviceHub devices on the OPC UA driver, 122 tags
• 8 Digital Twin models, one instance each
• 4 multi-input Analytics groups: melt shop energy, demand and peak, breakout detection, chemistry and grade compliance

Scenarios you can inject

• Slag foam collapsing sends the arc's heat at the panels instead of into the bath, stretching meltdown and pushing the billed demand peak, which is a process upset arriving as an energy bill
• A caster sticker is visible in the lag between mould thermocouples and the shell, which is what turns a breakout into something seen before it happens
• Copper arriving with the scrap cannot be refined out downstream, so the grade a heat can be sold as is decided at the charge