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Automatic compression algorithm selection and parameter adjustment based on context knowledge

A technology for compressing algorithms and data, applied in control/regulation systems, program control in sequence/logic controllers, comprehensive factory control, etc.

Active Publication Date: 2019-10-01
SIEMENS AG
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This technique is particularly well suited for, but not limited to, various industrial automation settings

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  • Automatic compression algorithm selection and parameter adjustment based on context knowledge
  • Automatic compression algorithm selection and parameter adjustment based on context knowledge
  • Automatic compression algorithm selection and parameter adjustment based on context knowledge

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Embodiment Construction

[0021] Described herein are systems, methods and apparatus generally related to intelligent programmable logic controllers (PLCs) based on a combination of statistical information about signals and contextual information such as, for example, control data and other information to automate changes in parameterization and related algorithms. The techniques described herein may be applied in a variety of settings in which control systems are used, including, without limitation, industrial production environments.

[0022]Various embodiments of the invention are described in the context of a PLC including various components configured to provide an assortment of enhanced functionality in control applications. This PLC (referred to herein as an "intelligent PLC") is described in more detail in US Application No. 14 / 467,125, entitled "Intelligent Programmable Logic Controller," which is hereby incorporated by reference in its entirety. Briefly, a smart PLC provides several technica...

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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.

Description

technical field [0001] The present invention generally relates to automatic selection of signal compression algorithms and parameter adjustment for such algorithms based on context information about the signal and control environment. The disclosed technology can be applied, for example, to various automated production environments in which programmable controllers are used. Background technique [0002] A programmable logic controller (PLC) is a specialized computer control system configured to execute software that continuously gathers data about the state of input devices to control the state of output devices. A PLC typically includes three main components: a processor (which may include volatile memory), volatile memory including an application program, and one or more input / output (I / O) for connection to other devices in the automation system. / O) port. [0003] PLCs are utilized in various industrial settings to control automation systems. Automated systems typical...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/05G05B19/418
CPCG05B19/05G05B19/4183G05B2219/14055G05B2219/31323Y02P90/02G05B2219/13103
Inventor J.L.阿帕里乔奥赫亚王凌云J.罗斯卡
Owner SIEMENS AG
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