August 10, 2020 BIG DATA, SOFTWARE
The term big data is used in many ways and for many applications. The increased connectivity and availability of sensor data is driving new big data opportunities for both the design engineering and asset operations communities.
However, the reality of unleashing this potential is perhaps more challenging than is often portrayed by major information technology vendors. What is promoted as a data lake…
…often ends up being more like a data landfill.
Data of good quality is hard to find and only a small percentage of available data is actually used by engineering. But there is a huge amount of potential if the true value of all that data can actually be realized.
Product designers and OEMs, for instance, may be interested in understanding real product usage to take important design decisions that might affect durability and warranty returns globally. Meanwhile, operators responsible for a fleet of vehicles or plant equipment are typically looking to enhance product reliability.
One of the primary challenges is how to scale the data handling, data management and data analytics of measured sensor data to real world applications. A scalable framework capable of performing real-world engineering analysis is needed to handle and process the volume of time series data in order to make timely decisions on performance, reliability, and operations.
If you would like to explore how this type of technology can be made available, how it can positively impact your engineering processes, or just wish to understand more then please connect with Jon to collaborate further.
Jon Aldred
Director of Product Management – HBK Prenscia
Once an Imagineer has identified an opportunity for a ‘smart’ product, the OEM typically wants the development of custom sensors to proceed very rapidly. You need a partner with a deep understanding of your application, and HBK experts can actively contribute and advise on fundamental sensor system design.
At HBK our goal is to make better decisions based on a combination of various different sources of data. Jon Aldred, Director of Product Management, Prenscia software at Hottinger Brüel & Kjær talks about Big Data and the impact of the Industrial Internet of Things (IIoT).
When you need to measure strain on an object, you are often doing so in a short timeframe. If the strain gauge is improperly installed, you can receive false measurements, which may cause you to spend even more time correcting these mistakes.
