Imagine that your company could anticipate problems in the performance of a particular asset at an early stage of diagnosis. In this way, it would be possible to avoid a total shutdown of the services that use that equipment and keep business running at full steam.
Predictive maintenance works in this way. Through constant monitoring, managers are able to anticipate serious problems and carry out the necessary operations to extend the useful life of assets. We'll talk a little more about the concept and how the Internet of Things (IoT) has optimized the possibilities. Read on!
What is predictive asset maintenance?
This maintenance model consists of monitoring the condition of the company's assets in order to ensure that they maintain optimum performance and even increase the useful life of these resources.
In this way, managers establish the ideal operating standard for a given machine and a device to monitor that particular asset. When an anomaly arises, it will be possible to trigger the appropriate repair.
The good news is that predictive maintenance has become even more precise with the arrival of technologies such as the Internet of Things. It provides high-level sensors and devices that will be configured to collect, store and provide relevant information about the asset.
All this takes place in real time, in an environment connected to the internet. This makes it easier to collect information and gather relevant data on the operation of the asset. In addition, this monitoring can be carried out remotely, which makes it easier for managers to control.
It is also important to distinguish between preventive and predictive maintenance. While the former performs tasks on a regular basis to prevent breakdowns and asset failures, the latter uses data that makes it easier to understand parts and accurately predict when items will need to be replaced.
What are its benefits?
Now that we know the concept, it's time to present the specific benefits of this model.
Saving on unnecessary maintenance costs
Predictive maintenance, combined with the Internet of Things, provides a higher level of precision than the models that have prevailed until now. In this way, your company can count on surgical and well-planned interventions, quite different from the reactive model, for example.
Longer service life
With the continuous monitoring introduced by this type of maintenance, the useful life of the assets also increases significantly. This leads to cost savings in the medium and long term, since the company won't have to spend as much in a short time to renew its infrastructure.
Insights into the future of assets
With a longer useful life, it will be easier to project the future of assets. This involves evaluating all the resources already present in the company, but also influences the acquisition of other parts. With predictive maintenance guaranteeing a longer service life, managers are faced with an interesting dilemma: do they need to buy more?
With prolonged durability, it will be possible to allocate the expenses initially dedicated to new acquisitions to other areas of the company. These investments will increase competitive advantages and help balance the books.
Increased availability index
With continuous monitoring of assets and technology infrastructure, systems will suffer fewer failures. In this way, availability tends to remain constant, which reduces the risk of downtime - an occurrence that has a negative impact on business profits.
Reduction of faults
If the company partners with professionals specialized in the subject, predictive maintenance can be combined with models such as APM, or Asset Performance Management, a suite of applications for asset management. This means that fault alerts are issued even before the problem occurs.
In this way, managers can anticipate problems weeks or even months before they occur, enabling the company to prioritize predictive maintenance over the reactive option. Acting reactively to a problem paralyzes activities, which is far from desirable in an increasingly competitive market.
What role does the IoT play in this process?
The integration of the so-called Internet of Things into predictive maintenance is one of the factors that make this technology so in demand in companies from different segments. This is because it acts directly on what managers are looking for in asset management: the possibility of anticipating failures and extending the useful life of resources.
The IoT is able to predict problems automatically, with the support of data collection related to the performance of each piece of equipment. All this takes place in real time, using algorithms capable of anticipating failures.
One example is the use of sensors capable of monitoring the vibration of a machine and issuing alerts if it behaves in a way that is not within the desirable operating standards. This will enable managers to avoid acting reactively, which would paralyze the activities that use that machine.
Since the entire business infrastructure is monitored in real time, managers can track points of concern more precisely. In this way, failures, vulnerabilities and other factors that could interfere with asset performance can be identified quickly.
As we saw in the article, predictive maintenance is a way of acting before asset failures can compromise the company's operation or even paralyze activities. Technologies such as IoT make it easier to monitor overall performance and provide more useful life for equipment.
Did you like this post? Keep learning about the subject and find out even more about predictive maintenance.
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