Automatic compression algorithm selection and parameter tuning based on contextual knowledge

US10303148B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Juan L. Aparicio Ojea · Doylestown, US
• Justinian Rosca · Monmouth Junction, US
• Lingyun Wang · Mianyang, CN

Key dates

• Filing date: Oct 29, 2014
• Grant date: May 28, 2019
• Expiry date: Oct 29, 2034

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02P90/02
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A method of compressing signal data in an intelligent programmable logic controller includes the controller creating a process image area in a volatile computer-readable storage medium operably coupled to the controller. The intelligent programmable logic controller updates the process image area with contents comprising signal data associated with a production unit and applies a compression algorithm to the contents to generate compressed signal data. The compressed signal data is stored on a non-volatile computer-readable storage medium operably coupled to the controller. The controller annotates the signal data with automation system context information to generate contextualized data. Next, the controller performs a statistical comparison of the signal data and the compressed signal data to generate statistical comparison results. Then, one or more compression parameters used by the compression algorithm may be automatically adjusted based on at least one of the statistical comparison and the contextualized data.