IoT Based Predictive Maintenance: The Ultimate Guide
Introduction As competition and costs are rising daily, companies are trying to avoid the idle time of their production units. This is due to the repair and maintenance of machines.…

Introduction As competition and costs are rising daily, companies are trying to avoid the idle time of their production units. This is due to the repair and maintenance of machines.…
As competition and costs are rising daily, companies are trying to avoid the idle time of their production units. This is due to the repair and maintenance of machines. Organizations are staying on track with the maintenance process and have embraced the technological boom of the Internet of Things or IoT.
Today with the help of IoT, organizations can predict and take care of their production machines. It is time to know about them a bit so you can gear up with your productions without glitches.
Companies follow the maintenance process described by the manufacturers when the machines are bought. It may be scheduling maintenance after the machines have worked for some hours, weeks, or months. Again, many manufacturers ignore more minor signs and only maintain the machines when they are utterly broken down.
It not only hampers the production processes but also burns a big hole in their pockets. Thus, the workers have no work to do. It is not a cost-effective idea but eats away the percentage of profit. Industrial units often fall into the dilemma of when to maintain the machines. However, predictive maintenance using IoT is the in-thing with technological advancement.
Today, it is more predictive maintenance than preventive maintenance. Predictive maintenance is done when necessary, depending on the condition of the assets. Here’s how it helps:
Today, IoT plays a pivotal role in predictive maintenance. Here how:
IoT-based predictive maintenance helps production units to anticipate and address potential issues and safety risks before they happen. Through IoT predictive analytics, shop floor managers can take action without compromising the safety of the workers. This is because data is available from multiple sources through the IoT devices connected with the assets.
Companies look at the industrial IoT predictive analytics over the most extended possible periods, decide on the hazardous working conditions and estimate the impact on daily working so that the machines can be maintained adequately without any delay. It helps to relocate the resources and optimize the threshold limits of exposures adhering to the working rules and regulations.
As the equipment is constantly monitored through IoT, the unscheduled downtime is minimized, thus improving overall operations. The pieces of machinery stay in good health with IoT for predictive maintenance.
The data is captured in digital form through IoT and then transmitted to the server for storage and evaluation. Predictive maintenance industrial IoT experts analyze the data. They calculate the probabilities for the occurrence of various specific events at a given time. This way, corrective measures are taken.
The sensors gather real-time data across various assets and systems so that manufacturers can anticipate malfunctions and plan for events such as probable breakdowns and replacement of spare parts before things go out of control or the machines wholly shut down.
Source: Smart Home IoT App Design
There are multiple benefits to predictive maintenance and IoT. The faults can be predicted in real-time and taken care of before conditions become critical or go out of hand. The maintenance while the equipment is still functional. It cuts down the cost to a great extent and interrupts operations.
Studies have shown that unplanned downtown costs can go up to US $ 50 billion yearly. It can be drastically cut down with IoT maintenance predictive analysis.
Predictive maintenance is the key to success if the industry is asset oriented for production.
Predictive maintenance and analysis can be done through various tools. Through each of the tools, the analyzers can make proper decisions. These tools involve:
Without a robust predictive maintenance practice and strategy, carrying on with the business without much disruption is impossible. The focus has shifted from preventive maintenance to predictive maintenance, and IoT is the big game changer.
The results are much more accurate. Also, organizations can plan their production accordingly by analyzing the real-time data received with the help of IoT. It is time to embrace new technology and look forward to more positive investment returns.
FAQs on IoT For Predictive Maintenance
With IoT, it is possible to continuously monitor the working of mechanical assets and get real-time data to analyze them.
Yes, the idle time can be reduced, and the machines can be rectified of faults. This is done by observing the minor defects that can otherwise burn a big hole in the pockets if ignored.
Any minor fault can be handled through predictive maintenance when clubbed with IoT. Thus, the workers are at less risk of accidents while working. Moreover, the safety feature is enhanced to a much greater extent.
Many big organizations either have their team for analyzing data or outsource the entire process of IoT and do the maintenance. It depends on the industry’s scale, the scope of work, and viability.
We provide industry-specific IoT applications to generate value and tackle unique business challenges.
By learning everything about your brand, your target audience.
Talk To Our ExpertsGet our latest blog posts, research reports, and thought leadership straight to your inbox.