Breakthrough in streamed data analytics

Engineers in the fields of test & measurement and maintenance are no longer only processing data coming from analog sensors using traditional data acquisition hardware but, increasingly, they are accessing a mixture of various data types, including low-cost digital data from communication buses and connected vehicles. Bus data is an inexpensive source of readily available parameters in a complex electronic system. Accessing bus data offers huge potential benefits such as understanding customer usage from connected vehicles in order to improve the product validation process and thereby reduce unexpected failures. However, bus data also raises a number of challenges in terms of its analysis because of the quality, quantity, inconsistency, lack of certain data, etc.

We are excited to announce a brand-new chapter in technology for addressing these challenges: nCodeDS. This ground-up development has been several years in the making and delivers a step-change in the processing of measured data.

nCodeDS (Digital Streams) can process large datasets of measured sensor data at speeds previously unrealizable, even more than 10 times faster than existing tools. It achieves this through a breakthrough streamed processing architecture that enables data to be broken into “streams” that can be processed simultaneously through a multi-step network of analysis steps. Each calculation can be accelerated through the use of multi-core processors and scaled even further by dividing the data across multiple parallel executions.

Even greater speed benefits are shown when applied to the increasing amounts of low quality, low sample rate, time-stamped data such as automotive CAN bus. Connected vehicles, for example, are making these sources of data readily available and offer the promise of transformational information. Importantly, nCodeDS provides the ability to clean up missing or incorrect values from this digital bus data prior to further analysis.

nCodeDS provides a range of built-in analysis capabilities you would expect from nCode software including time at level calculations, statistics, FFT, and even damage calculations. Plus, it also allows Python scripting to be used part of the analysis network to allow fully configurable yet scalable analytics. nCodeDS is available as part of Aqira 2019, which provides a server-based platform for scalable deployment with a web interface for easy access and sharing of analysis processes and results.

Learn more about applications of nCodeDS by downloading the whitepaper, “Transformational Insights from Digital Bus Data”.

Attendees of the 2019 Prenscia User Group Meeting (USA) were surveyed during the live launch of nCodeDS, providing feedback on what features they found offered most value given their current engineering challenges:
Faster processing of measured test data33%
Analytics on time stamped and CAN bus data29%
Connections to data lakes and IoT data storage8%
Machine learning for insights and augment data29%

nCodeDS (Digital Streams) can process large datasets of measured sensor data at speeds previously unrealizable, even more than 10 times faster than existing tools. It achieves this through a breakthrough streamed processing architecture that enables data to be broken into “streams” that can be processed simultaneously through a multi-step network of analysis steps. Each calculation can be accelerated through the use of multi-core processors and scaled even further by dividing the data across multiple parallel executions.

Attendees of the 2019 Prenscia User Group Meeting (USA) were surveyed during the live launch of nCodeDS, providing feedback on what features they found offered most value given their current engineering challenges:
Faster processing of measured test data33%
Analytics on time stamped and CAN bus data29%
Connections to data lakes and IoT data storage8%
Machine learning for insights and augment data29%

Even greater speed benefits are shown when applied to the increasing amounts of low quality, low sample rate, time-stamped data such as automotive CAN bus. Connected vehicles, for example, are making these sources of data readily available and offer the promise of transformational information. Importantly, nCodeDS provides the ability to clean up missing or incorrect values from this digital bus data prior to further analysis.

nCodeDS provides a range of built-in analysis capabilities you would expect from nCode software including time at level calculations, statistics, FFT, and even damage calculations. Plus, it also allows Python scripting to be used part of the analysis network to allow fully configurable yet scalable analytics. nCodeDS is available as part of Aqira 2019, which provides a server-based platform for scalable deployment with a web interface for easy access and sharing of analysis processes and results.

Learn more about applications of nCodeDS by downloading the whitepaper, “Transformational Insights from Digital Bus Data”.