Selecting the best predictive maintenance software solution for the steel industry is probably the most crucial technology choice that a steel factory manager has to make nowadays. Steel factories operate some of the most advanced technologies available in other industries – blast furnaces, rolling mills, compressors, cooling facilities, and conveyor belts working under very harsh conditions on an ongoing basis. Unexpected failure of any of these critical pieces of equipment will come at a high cost. The steel industry predictive maintenance software solution will provide you with insight into how your machinery operates, and notify you about potential failures in good time. This guide will walk you through your decision-making process.
Why Steel Plants Need Specialised Predictive Maintenance Software
All the predictive maintenance solutions are not created equal. The predictive maintenance solution suitable for a food processing unit or a logistics facility will not automatically fit into the operations of a steel plant.
In the steel manufacturing industry, the equipment works under tough conditions. These include heat, vibrations, dust, moisture, electromagnetic interference, among others. The predictive maintenance solution that the company chooses must operate smoothly in these settings, as well as interact with the other control systems in use within the factory, including PLCs, SCADA, and DCS.
On another note, the issues encountered within the operations of steel plants are significant. For instance, a failure of the gearbox of the rolling mills or a failure of the pumps at the blast furnaces will mean that production will halt for hours and even days, resulting in losses amounting to crores of rupees.
Learn more about how Epsum Labs can help steel manufacturing plants.
Key Features to Look for in Predictive Maintenance Software for Steel Industry
Consider the following when assessing platforms:
Real Time Data Acquisition from Sensors
Your software needs to be capable of collecting data from vibration sensors, temperature sensors, pressure transmitters, and other field devices in real time. Check for those platforms that can work with different types of sensors and standard communications protocols that are popular in steel industries.
Anomaly Detection Using Artificial Intelligence/Machine Learning
Alarm threshold values alone will not work. Your platform needs to be able to utilize artificial intelligence/machine learning technology to learn the normal operating behavior of each machine in your plant and detect anomalies.
Integration with Your PLC/SCADA Systems
It is important that your predictive maintenance software be able to integrate with your automation system. Otherwise, it will cause you more headaches than help.
Health Status Dashboards for Assets
It is crucial to have easily understandable dashboards showing the health status of all the monitored assets on one screen. You want your maintenance staff to see the condition of each asset immediately – whether it's healthy, requires any attention shortly, or needs immediate action.
Maintenance Work Order Integration
Top-notch platforms come equipped with maintenance management system integration that would generate a work order upon an alert and assign the task to the required crew.
Mobile Availability
Machine health check-up can be done by your maintenance managers right from their phone while they're on the factory floor and not necessarily from their desk.
Questions to Ask Any Predictive Maintenance Vendor Before You Buy
Prior to signing a contract, ensure that you have satisfactory answers to the following inquiries:
- What is the period required for implementation, and what is required on the part of your team to facilitate the process?
- Is the platform compatible with old machines that don't have sensors or digital outputs installed?
- What sort of support can be expected post-deployment?
- What is the training process for the artificial intelligence model and when will it begin alerting on a regular basis?
- How much will the solution cost, and will there be any other charges for extra sensors/users that may arise?
- Are there any examples in steel plant operations of the successful use of your platform?
Such a line of questioning should immediately reveal whether the platform is based on steel-related experience or simply adapted from another one.
What Good ROI Looks Like for Predictive Maintenance in Steel
When considering the ROI of predictive maintenance software solution for the steel industry, consider the following performance improvements:
- Reduction in unplanned downtime: With a good implementation strategy, a company implementing a predictive maintenance system is likely to see the number of unplanned downtimes go down by 35% to 45% in the first year.
- Savings on maintenance: Because maintenance occurs only when it is truly needed, the amount spent on maintenance activities is likely to come down by 25% to 30%.
- Prolonging of equipment lifespan: Because equipment is being closely monitored and serviced in time, their lifespan tends to get extended, resulting in less cost in capital replacement over time.
- OEE improvement: Overall Equipment Effectiveness figures are expected to improve greatly after cutting back on unplanned downtimes and stops due to quality issues.
In general, steel plants can expect ROI on 10 to 15 pieces of equipment in six to twelve months.
How Epsum Labs Approaches Predictive Maintenance for Steel Plants
With Epsum Labs, we have worked directly with steel manufacturing companies in India to implement our predictive maintenance solutions for the unique challenges of industrial settings.
This begins by assessing your highest value assets. Our team works with your maintenance and engineering staff to understand what poses the greatest risk and what could be addressed by early prediction. We implement our sensor network and integrate them into your control systems using AI models trained on your equipment and processes.
Our offering is not a platform. Each implementation is customized to you.
Final Thoughts
Making the investment in predictive maintenance software solution for the steel industry does not only mean investing in software technology. It also means making an operational choice about the way your steel plant will be managed.
In this case, it is crucial to select a provider that has deep insight into the steel business, not only into the software itself.
👉 Contact us to share your maintenance problems and hear what we have done in plants like yours.
