Unexpected shutdowns are costly and very demanding for the workforce involved. Our Virtual Engineers help you to make your metal processing critical assets smart in order to increase the availability.
Today most often technical data sheets coupled with the knowledge of a number of unique experienced individuals are used to determine when maintenance is required for an asset. Product quality only becomes an issue when customers start complaining. Repairs are done when it's already far too late. All of this puts tremendous strain on the people responsible for the production and maintenance, while it can be avoided, quite easily.
The only way to validate the actual health of crucial assets, and predict upcoming issues, is by having a continuous look at a broad data set and adding a specific multi-aspect monitoring setup consisting of different sensor types. This combined with an automated smart follow-up of the behaviour of critical components and the general state-of-health of the asset based on the collected data.
Zensor offers a range of ready-made products for monitoring specific assets: Rolling bridges or Overhead Cranes, Electric Arc Furnaces (EAF), Hot Rolling Mills, Conveyors, AOD Converters, BOF, Continuous Caster turrets as well as Continuous Casting lines, Cold Rolling lines, including tensioners and welding stations, Cooling water pumps and de-scalers, ...
“The insights generated give us peace of mind regarding the overall status of the overhead crane. Prioritising, quantifying and investigating maintenance tasks became easier, which in the long run, will result in the avoidance of unexpected shutdowns."
Some of our clients
Below a flow chart of a typical (integrated) steel plant or steel mill is depicted. It contains both process streams, bith the scrap-based as well as the ore-based route. In the future this flow chart will undergo massive changes, as for example DRI-based routed will replace the Blast Furnace process and Electric Arc Furnaces and also Induction ovens will take up the majority of the heavy lifting: the actual melting. Using the button below the chart a .pdf version of this chart can be downloaded.
Catch them before they cause greater damage
Solutions for operational improvement:
Learn more about our approach
Based on the data collected and machine-learning based methods for determining the operational condition the performance is calculated.
Coupling to existing databases or using human input fields the product quality is linked to operational process parameters.
Whenever values start to deviate, or data streams stop, warnings are sent. This avoids 'black holes' in the insights of the production line or assets.
Have a continuous idea of availability, automatically as the platform combines different input streams and contextual information.
Operational statistics
Health status
Alerting
Metallo
Belgium
We're helping Metallo monitor the structural integrity of their critical overhead cranes. Read more in the case study.
Save on operating costs while becoming smarter
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Critical asset
Gantry Crane
Remote & continuous, multi-parameter health follow-up of your gantry crane.
We understand your problems and we're here to help.
To eat a nice sandwich in the afternoon…
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Success Case
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Industry 4.0 in the world
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