The Internet of Things is a true revolution, whether in the life of everyday or professional situation. Applied to the industrial sector, the IoT will optimize the logistics processes of companies or optimize energy consumption to reduce costs and risks.
Through a beacon equipped with sensors placed on a container or in a truck, we will be able to trace the movements of objects and analyze whether they have suffered any shock or extreme temperatures.
One of the most developed applications of industry 4.0 is predictive maintenance. This term refers to the ability to predict and anticipate failures thnaks to the Internet of Things.
Using sensors placed on equipment, companies will be able to revise the equipment under actual use conditions. By analyzing the data collected by the sensors, maintenance teams can determine the probability of a default factors, predict failures or predict machine maintenance. This will allows to mobilize the maintenance teams strictly when intervention is necessary, and thus reduce the costs of maintenance.
Actors such as SNCF will deploy millions of sensors and smart devices in trains and infrastructure to collect data in real time. Thus, the company will be able to prevent breakdowns or wear of these infrastructures and reduce technical incidents.This will also reduce maintenance costs over the long term because the teams will act on equipment that actually need to be repaired and upstream costly consequences.
This investment of € 450 million should increase the SNCF productivity of 10 points.