Predictive maintenance: one of the pillars of Industry 4.0

The Internet of Things (IoT) is helping industries around the world become more efficient, with managed and scalable digital solutions. These technological advances are part of the requirements for the development of Industry 4.0.

Through artificial intelligence, the Industrial Internet of Things (IIoT) connects machines and devices in key sectors such as:

• manufacturing;

• hydropower

• oil;

• gas.

In factories, artificial intelligence sensors are connected to machines and equipment to collect data. This data is very important for condition monitoring and predictive maintenance purposes.

The goal is to use this data to improve the overall operations of the industrial sector. In addition, they facilitate quick and accurate business decisions.

An integral part of condition-based monitoring is providing data that can be used for predictive maintenance. However, for predictive maintenance to be effective in an industrial environment, the following components are required:

• sensors on the machines;

• communication protocol/gateway;

• repository and database;

• predictive analysis tools using artificial intelligence.

The idea of using sensors to monitor machines is nothing new. Factories have been measuring and tracking equipment performance parameters for years. With this, they can evaluate everything from equipment effectiveness to maintenance and overall operations.

What's different about the IIoT:

• the mass use of smart sensors;

• the adoption of wireless networking options

• the rise of data analysis applications.

This way, it is possible to have reliable information very quickly on the operations manager's dashboard. All this generates several benefits for manufacturing companies that are adopting Industry 4.0 initiatives, such as:

• improvements in scalability;

• increased flexibility

• guaranteed security

• easier management of production processes.

ADI OtoSense is a complete hardware and software solution ready for use. Simply install the sensor on the engine and it is ready to start the configuration and monitoring process.

In addition, it is possible to install it without shutting down the engine. It's a lot of versatility, isn't it?

With the ADI OtoSense solution, it is possible to monitor the engines from miles away. This is because the data will be available on the solution's web dashboard and mobile app.

In short, this is a compact solution that is easy to install and quick to configure. With it, motors on the shop floor can be monitored in real time, and preventive maintenance measures can be applied correctly.

Do you want to ensure these benefits in your company too? Contact us at marketing.mae@macnica.com.