Adopting predictive maintenance through IoT

Predictive maintenance is the most effective industrial maintenance strategy for optimizing machine maintenance interventions and improving factory productivity. Its appearance and development are the result of technological progress in recent years, and in particular the spread of IoT, the Internet of Things.

Thanks to it, combined with a GMAO adapted, maintenance becomes both more precise and easier. All industrial companies, regardless of their size, can now access the predictive maintenance or predictive thanks to the most recent solutions.

Why switch to predictive maintenance?

La predictive maintenance, also called predictive maintenance, is the most elaborate maintenance strategy. It is the result of the evolution of practices and technological advances that have allowed the appearance of new tools.

Corrective maintenance

For a long time, the corrective maintenance was the only strategy used to maintain industrial machinery and equipment, and it remains fairly widespread today. Sometimes called curative, this strategy consists in intervening in the event of a failure or malfunction. It is, of course, the easiest to apply, but also and above all the one that involves the most frequent, the longest and the most random production stoppages.

CMMS and preventive maintenance

With the appearance of the first CMMS software, large companies have begun to implement strategies for preventive maintenance. It seeks to anticipate breakdowns by establishing maintenance operations at regular intervals, in the case of preventive maintenance systematic, or by monitoring the condition of the machines through regular checks, in the case of conditional preventive maintenance.

While this type of maintenance makes it possible to reduce the frequency and duration of production shutdowns and to gain in productivity, it is based on the probability of breakdowns and malfunctions, and not on precise knowledge of the operating state of a machine, which limits its ability to anticipate the necessary interventions.

Predictive maintenance

La predictive maintenance, also called predictive maintenance, is in a way improved preventive maintenance: it plans interventions based on the monitoring and analysis of the operation of each piece of equipment. These are then only carried out when they are necessary, but before the failure occurs. This strategy makes it possible to optimize maintenance by avoiding both superfluous interventions and unexpected production stoppages, and therefore improves the productivity of factories.

However, the implementation of predictive maintenance is only possible by using the appropriate technological tools:IoT to collect the data, and the GMAO 4.0 to analyze them.

Mobility Work CMMS allows operators and technicians to be autonomous: calendar, checklists, creation of tasks, maintenance plans, notifications for each new activity...

How CMMS and IoT are making predictive maintenance possible

La GMAO of the new generation and theIoT are the two technological innovations that have allowed the emergence of predictive maintenance strategies.

Internet of Things and industrial maintenance

THEIoT (abbreviation of Internet of Things) is a technology that makes it possible to connect objects to the Internet, and therefore to other digital tools. It is increasingly used both in the design of everyday objects and in the development of innovative industrial tools.

In the field of industrial maintenance, theIoT takes the form of sensors placed on machines that collect various data on their operation. This data may concern temperature or pressure, consumption, speed of rotation. The sensors can also detect abnormal vibrations.

Thanks to these, anomalies in the operation of a machine, but also the signs of deterioration in progress can be identified and analyzed, using software GMAO adapted toIoT.

IoT and CMMS 4.0

To use theIoT in maintenance, it is necessary to have a GMAO able to analyze the data collected and to exploit them as part of a predictive maintenance strategy. This is the case of the latest generation solutions such as Mobility Work, which have the technological characteristics and functionalities essential for the use ofIoT in maintenance.

This application uses Big Data, an essential tool for the analysis of data collected by sensors located on the machines. Thanks to this one and to Artificial Intelligence, this GMAO predicts future equipment malfunctions with great precision. In addition, it works in SaaS mode and benefits from frequent updates.

The benefits of predictive maintenance

Concretely, the adoption of a predictive maintenance strategy through the joint use ofIoT And of the GMAO 4.0 has a number of advantages. The first of these is a significant reduction, both in frequency and duration, in periods of machine downtime and therefore in production. These shutdowns, which are better anticipated, can also be carried out when they least interfere with the proper functioning of the plant.

In addition, the management of spare parts stocks is optimized: both the unnecessary and expensive storage of superfluous spare parts are avoided as well as the risk of running out of the parts necessary for maintenance intervention. The organization of team planning is also simpler, thanks to a precise forecast of intervention needs.

Find an analytics tool in Mobility Work CMMS to analyze all your maintenance data and adapt your strategy

Who can adopt predictive maintenance?

We saw it, theIoT And the GMAO 4.0 are the two essential tools for adopting a predictive maintenance strategy. Contrary to popular belief, these technologies are available to almost any business. The sensors used in the context of theIoT, for example, cost less and less and can only be placed on the most strategic machines. As for the GMAO 4.0, a solution like Mobility Work is more economical than old software and works thanks to a subscription system that makes it possible to avoid the heavy and risky investments that these involved.

Setting up a predictive maintenance strategy involves usingIoT And to a GMAO new generation, two tools that are now accessible to a large number of companies. Far from being superfluous, this approach already makes it possible to achieve significant productivity gains. In addition, companies that adopt it are in a position to quickly integrate the permanent technological improvements that these solutions benefit from, and therefore maintain a high level of productivity.