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Big automation code

A technology for automating engineering and code, applied in the direction of code compilation, program code conversion, creation/generation of source code, etc., can solve the problem of not being publicly available

Pending Publication Date: 2021-11-05
SIEMENS AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, unlike general-purpose software, automation code is often proprietary and thus neither freely available nor publicly available

Method used

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  • Big automation code
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Embodiment Construction

[0012] In order to facilitate understanding of the embodiments, principles, and features of the present invention, the implementation of the following references will be explained. However, embodiments of the invention are not limited to use in the described system or method.

[0013] The components and materials described below are intended to be illustrative and not limiting. Many suitable components and materials that perform the same or similar functions as those described herein are intended to be included within the scope of the embodiments of the invention.

[0014] Human developers must develop automated code to run workflows before using the automated industrial workflow. Automation code is the code for running workflows in the factory. These workflows may include, for example, control of robots, machines, and belts, and controlling lighting in the plant. The development phase of the software is often described as "engineering phase", including engineers and other develop...

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Abstract

A system and method to apply deep learning techniques to an automation engineering environment are provided. Big code files and automation coding files are retrieved by the system from public repositories and private sources, respectively. The big code files include examples general software structure examples to be utilized by the method and system to train advanced automation engineering software. The system represents the coding files in a common space as embedded graphs which a neural network of the system uses to learn patterns. Based on the learning, the system can predict patterns in the automation coding files. From the predicted patterns executable automation code may be created to augment the existing automation coding files.

Description

Technical field [0001] The present invention generally relates to an industrial automation process, and more particularly to a method and system for application artificial intelligence technologies, especially deep learning techniques to improve automation engineering environments. Background technique [0002] Industrial automation is currently promoting innovation of all industries. Computer-based control process is currently using artificial intelligence technology, especially machine learning, to learn from data obtained from various resources. Deep learning is further developed and can be considered as a subset of machine learning. Depth learning is not using a single layer or several layers of neural networks, but multi-layer neural network, multilayer neural network can convert input data to more abstract and composite. Based on machine learning, the control process can make informed decisions in the case of no one. The automation control process can be improved in this wa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/30G06F8/33G06F8/20G06F8/36G06F8/70G06N3/08
CPCG06F8/31G06F8/33G06F8/20G06F8/36G06F8/70G06N3/08G06N5/022G06F8/311G06F8/41
Inventor A.马丁内斯卡内多P.戈亚尔J.范德文特
Owner SIEMENS AG