Deadband Time Override for Industrial Data Compression
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Solution Overview
Problem
Existing data compression techniques for industrial process control systems can reduce data volume too far, leading to potential loss of important data points and increased access times, which can overwhelm storage capacity and render computer hardware obsolete.
Innovation Solution
A data compression facility is implemented in a historian that includes a deadband/time override feature, ensuring previously received data points are saved within a designated time period, even if the compression test sequence would discard them, thereby improving the similarity between original and compressed data streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If aggressive data compression is applied to reduce data volume, then storage capacity is extended and hardware lifespan is increased, but important data points are lost and access times increase
Solution Approach 1:
The system dynamically adjusts compression parameters including deadband thresholds and time intervals based on data characteristics and operational requirements. By changing these parameters, the system optimizes the balance between compression ratio and data fidelity, ensuring critical data points are retained while reducing overall data volume.
Solution Approach 2:
The compression facility operates dynamically by continuously evaluating incoming data streams and adjusting compression aggressiveness in real-time. When significant process changes are detected, the system reduces compression to preserve important data points; during stable periods, it increases compression to maximize storage efficiency.
2Quantity of substance
If aggressive data compression is applied to reduce data volume, then storage capacity is extended, but data access times increase
Solution Approach 1:
The data stream is segmented into discrete data points that are independently evaluated against compression criteria. This segmentation allows the system to apply compression selectively to individual points rather than uniformly to entire data streams, enabling faster retrieval of specific data points while maintaining overall compression efficiency.
3Quantity of substance
If deadband filtering is applied to reduce data volume, then storage requirements are reduced, but data similarity to original stream decreases
Solution Approach 1:
The compression facility incorporates feedback mechanisms that monitor the effectiveness of deadband filtering in real-time. By comparing compressed output against original data characteristics, the system adjusts deadband thresholds to maintain optimal similarity while achieving compression goals. This feedback loop ensures that compression does not degrade data reliability beyond acceptable limits.
Data Source
AI summary
A control system database server is disclosed that includes a data compression facility that implements a compression test sequence on streams of time stamped data points rendered by components of a control system. A deadband/time override is incorporated into the compression test sequence to ensure that a previously received data point, within the stream of received data points, is saved within a designated time period even if the compression test sequence would have determined that the data point be discarded. The series of compressed/tabled data points, corresponding to the received steams of data points, are thereafter provided by the historian to requesting client applications that, by way of example, retrieve the compressed, time stamped data point streams for the purpose of constructing and displaying trend graphs.