Technologies driven by Industry 4.0 and Digital Transformation have been helping many industries to adapt to a new model of operation based on digitization, which is establishing itself in the market. Among these new technologies, IoT (Internet of Things) is one that has been attracting attention due to its various applications.

tablet showing iot connection

The importance of this technology for the industry and its functionalities applied to operations and processes are already well known by a large part of the sector. Many companies tend to adapt to this new scenario so that they can better enjoy the benefits generated by the application of IoT sensors.

Read: The secrets for better performances  with IoT field sensors

IoT and tools for the industry

Despite being a surprising technology, IoT sensors have their potential enhanced when used in complementarity with other technologies, thus allowing a wider range of applicability. Among them, the collaboration with:

Digital Twins: Digital replicas of a real object, used to gather information feeding a continuous stream of data from the digital twin.

Artificial Intelligence: The data collected by the sensors can be processed through algorithms to identify patterns and predict scenarios

Cloud: With cloud systems, data collected by IoT sensors can be stored on decentralized platforms, facilitating data access and interpretation.

By crossing these technologies it is possible to generate value in multiple disciplines within operations.

Read: 5 steps to understand why IoT is the technology of the momentporque IoT é a tecnologia do momento

IoT sensors applied for greater safety within operations

Asset integrity management is the discipline in which the use of IoT technology directly contributes to operational continuity, operator safety, and the automation of maintenance and inspection plans.

The asset integrity discipline can be improved in many ways, from collecting corrosion rates on a pipeline to software capable of managing an entire industrial plant. Some of these tools are:

IOT Data Logger

The data logger is real-time data collection hardware equipped with sensors that automatically collect and store electrical resistance measurements from corrosion probes in the data logger. This device is applied in conductive or non-conductive environments such as chemical products, water, gas, and oil systems. Data Logger provides access to real-time data that is sent to a Cloud platform.

IIOT Data Logger Vidya

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Vidya Digital Twin Software

Vidya Software is a platform used for asset integrity management that can automate maintenance and inspection plans based on information collected in the field. With the use of Digital Twin, IoT, and Artificial Intelligence, this platform allows an entire industrial plant to be replicated within its interface through 3D scanning, engineering models, sensors, data collected in the field through a mobile app, among others factors relevant to the operation.

Vidya Digital Twin Software Partner

All processes and data are directly linked to the virtual representation. Therefore, it provides a constant flow of data and information, which serve to predict, simulate and generate knowledge for decision making.

Having this data in hand, within the software itself, it is possible to draw up maintenance and inspection plans, generating schedules and work orders for inspection.

The software allows better management of resources and labor, allowing the management of work orders through customizable BI dashboards that favor the visualization of asset status through images, tables, graphs, and widgets

These are just some of the features these tools can perform. It is thanks to the DNA of innovation and resilience in the journey of digital transformation that today industries can be ahead of their time and generate more and more value to their operations with technologies that are increasingly intelligent and aligned with their needs;

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About the Author: Andre Andrade
The ultimate IoT (Internet of Things) fundamentals
Woman watch on stock market data on computerA Guide to Better Leveraging IoT Data (Internet of Things)