Читать книгу Industrial Internet of Things (IIoT). Intelligent Analytics for Predictive Maintenance онлайн

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Predictive maintenance is one of the most promising branches for industrial applications based on the use of data received from the factory to avoid production failures. This type of system eliminates unnecessary maintenance and increases the probability of avoiding failures, which involves a machine or even a component with sensors capable to collect and transmit data and then analyze it, and perform storage in a database. Then, this database offers comparison points for events, as they occur [59, 60].

The predictive maintenance model aims to periodically monitor the operation of machinery, equipment, and parts in a factory, in order to detect failures before they occur and prevent interruptions in the production line, relating IoT and AI in order to assist in the survey and management of data from all sectors of production, integrating the company’s departments, performing analyzes to take advantage of the useful life of industrial equipment, indicating the real conditions of its operation, detecting possible deterioration of parts and components, and ensuring the reliability and availability of services. This information obtained is used to support decisions and present suggestions for actions and interventions, generating better results than with the use of raw data [59, 60].