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Continual monitoring and statistical analysis of all relevant process parameters are meeting the constantly increasing demands for quality assurance in industrial production. To achieve this, all of the captured data is collected in a central location and access is provided to additional components for visualization, analysis and archival.
The continuously captured numeric process variables must often be combined with meta information, such as batch information or material flow tracking, so that they can be assigned to developed products and production facilities for subsequent analysis. SPS and field bus can therefore only meet part of the demand for this type of system by capturing numeric data.
The backbone of this type of system is a flexible, high performance database program that can capture, archive and distribute numeric and text-based data. Relational databases developed primarily for modeling business processes are not ideal for this type of task. There are many reasons why they are not ideal, but only the key reasons are listed below:
- The performance when storing and distributing large volumes of numeric data is usually insufficient.
- There are no special processes for synchronizing time-based data.
- There is no mechanism available to make it possible to limit the size of the data history.
The ring storage database system was designed specifically for the task described above and solves the problems inherent in traditional systems.
System components 
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