800xA Information Management’s functions provide both secure storage configurations and a variety of common and specialty data structures. An open distributed architecture supports data storage in either a multiple history server consolidation in one location or in dual history servers/locations for additional fault tolerance.
Raw Data Storage: Hierarchical structures provide various data storage options. High resolution data can be stored for short or long time periods. The system can also configure progressively lower resolution of data for longer time spans using less storage space and enabling the user to store data over longer periods.
Batch production: Production Data Logs (PDL) organizes critical process data such as operator interventions, alarm and events, equipment usage and task start/stop and duration times.
Collection storage: provides easy data storage and retrieval of process, operator, audit, and system events.
Standard Algorithms: Within a log hierarchy, an algorithm can be performed before the data is stored. A single value is stored that represents a larger time span of values. Standard algorithms include maximum, minimum, average, sum, and sum of squares values for a specified time interval.
Data Compression: If process variables have little or no changes over time, the user can choose to compress the data to conserve disk space. However, certain applications require the raw uncompressed data for application or documentation purposes.
Archiving: supports movement of finished reports, process, event, and production data from on-line to secure off-line storage.