Using monitoring data for optimizing the management of many critical energy distribution assets is a decisive factor for preventing asset failures or premature asset replacements in the energy distribution sector.
However, due to the vast amount of acquired data, it is increasingly difficult to use standard tools such as Excel for turning raw monitoring data into insights for more efficient maintenance of assets. This task not only entails the preparation and in-depth analysis of large datasets but also the calculation of health indices for each asset. In fact, understanding the root-causes of asset malfunction requires to take into account the manufacturers’ specification, operational data, as well as expert knowledge.
Visplore reduces these challenges to a minimum – and enables you to optimize maintenance with remote monitoring and data analytics much better.