Large-scale data collection and management is the basis of the industrial revolution we are living through today. Bringing together information and aircraft engines, for example, enables us to overhaul the design chain and the fine-tuning, operation and subsequent maintenance work.
Paving the way for future advances
Have you ever heard of IoT? These are the initials of the Internet of Things. This concept is the germ of the twenty-first century industrial revolution, underpinned by the internet as the resource that has driven a level of connectivity unprecedented in the history of mankind. To this must be added its incredible data-processing and -storage capacity (Big Data) and the development of artificial intelligence .
Industry 4.0 has developed this idea even further in terms of hyperconnectivity, i.e., the capacity of connecting and sharing performance statistics between manufacturing machinery, design information, assembly errors or any incident, products, stores and employees’ handhelds.
An example of the management of information and aircraft engines
Imagine a product error is detected in the maintenance control center; they could then immediately bring in a change in the manufacturing and design process. Thanks to such a simple action, this change, which previously involved a long-winded checking process, can now be done rapidly and efficiently, saving a huge amount of time and money.
This capacity of collecting information in real time has even more advantages than those you might be beginning to imagine. Let’s look at a telling example. Engine data is usually collected via SATCOM in the latest models. This allowed us, for example, to detect the flightpath of Malaysia Airlines flight MH370, which was on its way to Beijing but crashed to the west of Australia.
Big Data and intelligent preventive maintenance
To wind things up we are going to speak about an innovation that cuts operational costs while also lengthening the useful life of equipment: this is intelligent preventive maintenance. This consists of a simulation or projection of the useful life of each machine component, drawing from data on its operation and state. This makes it possible to forecast when a system needs maintenance or replacement and which is the best moment to do so.
We at GMV are past masters of the latest breakthroughs connecting intelligent control and industry; it is in fact a sine qua non of our work of creating technologically advanced solutions. It is not only aircraft engines and information that are brought together through connected and intelligent devices; the railway, energy and automotive sectors are also phasing in integrated systems with a high rate of success. If you’re interested, don’t hesitate to contact us. The future awaits you.
Las opiniones vertidas por el autor son enteramente suyas y no siempre representan la opinión de GMV
The author’s views are entirely his own and may not reflect the views of GMV