EN
Any machine is subject to the risk of breakdowns that can lead to a loss of productivity or even, for the most critical equipment, to serious accidents. Infrastructure maintenance is therefore an essential element of industrial processes and represents a major cost item.
Predicting the risks of breakdowns and acting as quickly as possible in the event of a risk of malfunction, makes it possible to reduce the frequency of failures and to organize maintenance operations more efficiently.
IT Link has developed a system for collecting and intelligent processing of data from IoT equipment located over large areas in order to set up a predictive maintenance process.
The solution is capable of managing the acquisition and transfer of measurements from multiple sensors located on sensitive infrastructures. Thanks to a machine learning algorithm, it analyzes the histories and detects the inconsistent signals indicative of the risk of malfunction, before triggering preventive maintenance actions.
IT Link for Work has developed a system for collecting and intelligent processing of data from IoT equipment located over large areas in order to set up a predictive maintenance process.
The solution is capable of managing the acquisition and transfer of measurements from multiple sensors located on sensitive infrastructures. Thanks to a machine learning algorithm, it analyzes the histories and detects the inconsistent signals indicative of the risk of malfunction, before triggering preventive maintenance actions.
