SMART MAINTENANCE: THE FOUNDATION OF THE INDUSTRY OF THE FUTURE
Can you imagine making decisions about maintenance and industrial efficiency with real-time data and estimates based on historical data? Digitalization has arrived in industrial maintenance to transform factory management and operations into a more efficient and sustainable model. We explain how we tackle this issue at Finvalia through five areas of work.
1. Preventive and predictive maintenance: a quantitative leap
The digital transformation of maintenance procedures aims to overcome the limitations of the traditional model, which often results in high costs and downtime. The key is to evolve towards a predictive paradigm, where tools based on Machine Learning and IIoT (Industrial Internet of Things) play a crucial role. These technologies allow for anticipating failures and optimizing maintenance tasks based on the actual condition of assets.
2. Quality and consistency of data: the basis of success
The use of smart sensors and the IIoT platform are fundamental for capturing high-quality data. The research will focus on improving the integrity and consistency of this data, essential for informed decision-making. Verification and validation procedures will be implemented to ensure that the information is accurate and reliable, eliminating issues such as electromagnetic interference or sensor wear.
3. Operational and document management: towards greater efficiency
Operational efficiency is another pillar of this project. The lack of real-time visibility and inefficient management of inventories and spare parts are critical challenges to be addressed through advanced monitoring systems and document digitalization. The use of artificial intelligence will facilitate access to and updating of information, enabling more efficient and precise management.
4. Innovation in sensorization and data acquisition
The diversity of communication protocols and the lack of standardization are barriers to quality data collection. The project will investigate the implementation of multimodal sensors and technologies to manage this data in environments with intermittent connectivity, thus optimizing the acquisition and analysis of crucial information for predictive maintenance.
5. Hyperautomation and augmented reality: the new frontier
Hyperautomation, combined with technologies such as RPA (Robotic Process Automation) and OCR (Optical Character Recognition) powered by AI, will enhance inventory and administrative process management. Additionally, augmented and virtual reality will be used for technical training, allowing operators to practice in simulated environments without risks, thus improving their accuracy and efficiency.
This pioneering project not only improves operational efficiency and reduces costs but also ensures a high level of cybersecurity and sustainability in the industry. The integration of advanced technologies and investment in research and development are positioning the factories of the future as leaders on the path to smarter and more sustainable production.