Optimized installation due to data collection
For the world’s no. 1 in offshore wind - Siemens Wind Power – the optimization of offshore installation and service operations is a constant area of focus. Together with the delivery of 5 lifting yokes from Eltronic for single blade installation of B75 blades, Siemens Wind Power therefore asked Eltronic for a data collection tool, which would be able to help them optimize their offshore installation processes.
As a solution, Eltronic developed the Equipment Performance Recorder, which is a piece of software integrated in the control system of the lifting yoke making a variety of data available. The software logs information such as wind speed and direction, tack forces, alarms and handling of alarms, operation time and duration as well as operator details. Data can be sorted in different ways depending on user needs and requirements and through charts and graphs displayed on tablet or PC, it is easy to gain an overview of the collected data.
“By using the data collected by the Equipment Performance Recorder, we are now able to respond to operational challenges much faster and in a more focused way. We can see exactly how the equipment behaves during operation at sea, and in that way we are able to target our user training more efficiently and to improve our operational performance in general”
Apart from targeted user training, predictive maintenance is another aspect which can really make a difference when operating offshore. “The software provides us with information about worn or damaged parts on the yoke, which means that we are able to perform predictive maintenance and to replace or repair parts before they actually stop working. This is a huge advantage, as equipment downtime offshore is extremely expensive
– both financially and timewise”, Henrik Hauge Jensen.
Furthermore, it can be combined with an app for mobile devices on request. Henrik Hauge Jensen is convinced that the software will be installed on other types of equipment operated by Siemens Wind Power as well: “I definitely see a future for this tool. By collecting and analyzing relative simple
data, we are able to improve our operator training significantly and to reduce both the time and money spent on trouble-shooting and maintenance.”