With the AkvisIO IME (Injection Moulding Edition) data analysis software, Kistler is aiming to help its customers take a further step towards the digitalisation of injection moulding.
Kistler
In the trend visualisation, recorded characteristic values of the machine and sensors can be compared across cycles with regard to their intervention limits, similar to statistical process control (SPC).
All of the data from machines and process monitoring systems like ComoNeo and ComoScout can now be visualised and analysed synchronously and across processes.
In addition to suitable machines and tools, transparent injection moulding processes often require more in-depth optimisation with sensors and continuous production monitoring. Moreover, when it comes to designing processes that are optimal over the long term, data management and data analysis play a decisive role: they are the missing, often underutilised, link in the value chain of modern plastics processing.
AkvisIO IME from Kistler aims to bridge this gap and enables customers to manage and analyse data across devices and processes. The data analysis software for recording, storing and analysing high-frequency sensor and machine signals during injection moulding is intended for use by both process engineers and data scientists. It replaces the previous ComoDataCenter (CDC) data management solution from Kistler and provides a comprehensive analysis function including automatic data synchronisation with all connected systems.
Complete digital solution for process engineers and data scientists
AkvisIO IME simplifies the setting up and configuration of the connected injection moulding machines and process monitoring systems from Kistler such as ComoNeo and ComoScout. Thanks to seamless synchronisation, digital assets like tool configuration, reference curves and monitoring objects can be easily transferred and consistently managed – both on the master computer (AkvisIO) and directly on the machine. All data is saved on a cyclical basis and can be compared and analysed across cycles, giving customers a single source of truth for all their plastics processing product data. Furthermore, the cross-machine and cross-device monitoring of all injection moulding processes simplifies the creation of customised reports for quality assurance.
As a modular, scalable software solution, AkvisIO already comes equipped with a number of analysis features that are being continually expanded. These are the well-known monitoring functions of ComoScout and ComoNeo (known as evaluation objects or EOs) as well as working with reference curves. Other features include cross-cycle trend analysis and statistic statistical process control (SPC) with output of characteristic values for process capability and stability such as cp, cpk, mean value and standard deviation. All of the analysis data obtained can be visualised and integrated into various reports.
Customisable, modular and scalable
The AkvisIO IME data analysis software is available for the process monitoring system ComoScout since September. This entry-level solution from Kistler analyses all available machine signals and is ideal as a retrofit for the digital connection of injection moulding machines that are not yet equipped with mould sensors or which have sensors that are used for the analysis of temperature signals at voltage inputs. Starting in January 2024, the data analysis software will also be available for use with the process monitoring system ComoNeo, which monitors the injection moulding process with the help of cavity pressure and temperature sensors.
Customers can individually determine the scope of AkvisIO IME based on their requirements. Additional modules such as trend monitoring with artificial intelligence will be released over time. Users of the previous database solution CDC can simply upgrade to AkvisIO, which will be the standard software for ComoNeo and ComoScout as of 2024. Thanks to integrated user management and rights management via lightweight directory access protocol (LDAP), AkvisIO also leaves nothing to be desired in terms of auditing, data security and traceability.