Why are cement plants the perfect candidates for Predictive Maintenance?
There are three facts about cement plants that are universally true:
- The average machine age in a cement plant is at least 30-40 years.
- Finding the right expertise to maintain them consistently is challenging.
- Every machine – big or small – has the power to bring the whole process to a complete standstill.
These three facts establish that proactive machine maintenance in cement plants is critical to remain profitable and scale efficiently. As demand for cement grows hand-in-hand with blooming infrastructure, GDP growth & exports, the pressure on cement plants to produce continuous, high-quality output also increases proportionately.
This article discusses Predictive Maintenance, a new age approach for plant maintenance, and why an IoT-led Predictive Maintenance approach can solve most of your maintenance worries for your cement plants.
Introduction to Predictive Maintenance
Predictive Maintenance in process manufacturing plants such as the cement industry can identify deviations in machine health at the nascent stage before they escalate into full-blown problems that may result in unplanned downtime.
But that is putting it very mildly. If you look at the daunting results of a neglected cement plant, violent accidents and sky-high repair and replacement costs, while the downtime continues indefinitely, are two of many consequences of a system that is not armed with the intel that Predictive Maintenance can provide.
Here’s a simple example that explains the difference between the health of a machine that uses Predictive Maintenance and one that doesn’t – exam preparation.
An intelligent student looks at exam preparation as a daily occurrence, checking in regularly to maintain good grades and maximize performance at the end of the year. A weaker one only thinks about the exam preparation as a reaction to the possibility of failing and only begins to take action when things have started to go south.
Condition Monitoring & Predictive Maintenance operate how a good student goes about exam prep. While Condition Monitoring checks in with the machine’s health periodically, Predictive Maintenance sees that the machine is continuously monitored and will keep functioning like it is supposed to for as long as possible.
Why is Predictive Maintenance critical for the cement industry?
Let’s dive into the specifics of what makes Predictive Maintenance critical for cement plants:
Diverse assets and asset categories make finding the right workforce difficult.
The cement manufacturing process involves multiple ingredients & processes, with various machinery used at every stage of every process, meaning many types of assets need to be covered. The sheer number of diverse machines makes it difficult to find the same variety of expertise and strength in numbers to manage them. Add to this the fact that many employees don’t have the specialized knowledge to evaluate the machines and act in time, and you have a classic problem.
With Predictive Maintenance, employees need to act upon prescribed causes & mitigation steps to restore machine status. So, even when their domain knowledge is limited, automated Condition Monitoring and Predictive Maintenance nudge things along the way.
Remote locations make reactive action expensive and delayed The remote locations of cement plants make unplanned downtime a lengthy affair. Finding the root cause of machine failure, sourcing & transporting the spare parts takes a long time. For uncommon causes of machine failure, having a Subject Matter Expert (SME) or an experienced plant engineer on-site 24*7 is next to impossible today, and escorting them to the premises whenever required turns out to be very expensive. Predictive Maintenance can solve this by providing concise instructions to fix problems, reducing the need to fly in experts frequently. On the other hand, the Subject Matter Experts (SMEs) can also diagnose the root cause of machine failure remotely with all the relevant data at their disposal.
Digitize the entire plant, not parts of it. Every business has assets they value more than others, which is the case in cement plants too. Assets considered to be more income-generating than others and acquired at a higher cost are taken care of more meticulously. As a result, according to statistics, only 10% of equipment at cement plants is digitized, leaving the others to be monitored manually & open for risks of sudden failure. This can escalate into unexpected downtimes with dire consequences at a process manufacturing plant. Regardless of the size of output or functionality of a machine, a system failure for one machine spells unexpected downtime for the whole plant. IoT-based Predictive Maintenance makes it easy to digitize all the machinery in a plant, making it easy to monitor the entire process regardless of location.
Why are IoT-driven Predictive Maintenance solutions better than conventional factory automation systems?
1. Predictive Maintenance is a proactive solution, not a reactive one.
- A conventional factory automation system will shut down operations in response to a crisis to avoid further damage.
- An IoT-based solution will see that crisis coming from a distance, initiate a likely fix, and alert superiors of the occurrence.
- The higher costs meant that manufacturers could only cover their most expensive assets, leaving risks for unexpected downtime.
- IoT-enabled Predictive Maintenance covers the entire plant at a reasonable cost, ensuring all the machines receive equal coverage..
The main action taken by these archaic systems is to shut things down and minimize damage, sealing its fate as a glorified fire extinguisher.
On the other hand, IoT-driven solutions for the cement industry aim to:
- Maximize the productivity of your plant, not just to avoid calamities.
- It gives you the power of foresight, which is valuable in an industry as competitive as this one.
- Older systems do not even look into parameters that IoT scrutinizes, e.g., measuring the vibrations of a machine is a brand-new feature overlooked before.