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The main objective of predictive maintenance is first to determine when equipment failure might occur and when to rectify that. It also predicts when maintenance might be required and when to schedule it. This is a very cost-effective and time-based procedure because tasks are performed only when warranted.
The key here is “the right information at the right time”. Some of the other advantages include an increase in equipment lifetime, plant safety, fewer accidents with a negative impact on the environment, and full optimisation of spare parts.
Smart city challenges can be diminished with the help of predictive maintenance because it allows different industries to diagnose any possible roadblock before they end up causing any significant setback. Moreover, it gives a window for proactive maintenance. Making sure that this is implemented in all the smart buildings can ensure an increase in productivity and prevent any potential system error or breakdown.
IIOT is now increasingly being brought into the industrial ecosystem. Therefore, it is essential to give proper training to your employees in different divisions so they have adequate command over the machine, once fully equipped they can deal with every single aspect of the device. This will allow for optimum utilisation of all assets.
The impact of predictive maintenance on the industrial internet of things can – reduced downtime, efficiency in production and optimum utilisation of resources.
How can it do the things mentioned above?
When it comes to reducing downtime, field services and predictive maintenance makes sure that the equipment is used resourcefully and on time. For example, if you know that your machine/or any other equipment cannot or is not working at any given time, it shall predict beforehand so that you can decrease the workload which will then systematically incorporate with the flow of the machine making sure that it is efficiently working at all times. All of this will then help in optimising all the resources.