Udmtek Co., Ltd.

Udmtek

Jun Pyo Park

Nam Ki Kim

Seung Woo Han

Gi Nam Wang

Min Young Jung

Sang Chul Yoo

Seung Jong Jin

Geun Ho Yu

Gang Hee Han

Yeon Dong Kim

Yoon Woo Ha

Hee Chan Yang

Kang Hee Han

A method of inspecting a programmable logic controller (PLC) control logic using a graphic neural network (GNN) generally includes three operations: a data preprocessing operation for a GNN, an operation of predicting whether tags are connected, and an operation of verifying suitability of edge connections between tags. As a result, a graph is generated from a PLC control logic and input to a link prediction model to find an incorrect connection in the PLC control logic. Subsequently, a result graph output through the link prediction is input to a trained model to verify edge connection suitability between tags. Then, it may be finally verified whether tags are connected in the PLC control logic.

Graph neural network based PLC control logic automatic inspection method

An apparatus for extracting common command information from programmable logic controller (PLC) ladder information according to the present invention may include: a logic information extracting portion configured to extract control logic information from XML information converted from PLC ladder information; and a common command converting portion configured to convert the control logic information extracted by the logic information extracting portion into common command information, wherein the logic information extracting portion is configured to extract, from the XML information, the control logic information in the form of a block obtained by grouping units that respectively represent contacts and lines constituting the PLC ladder information according to an AND condition and an OR condition.

Apparatus and method for extracting common command information from PLC ladder information

The present disclosure discloses a master pattern generation method which is a major pattern in a repeated cycle by analyzing programmable logic controller (PLC) logic, and a method for training a model that may analyze an error of a cycle using the generated master pattern. The master pattern generation method and the training method for a cycle analysis model according to the present disclosure are different from the related art in that the methods are a technology of processing a machine control language (low-level language) that is difficult for humans to analyze and converting the machine control language into an analyzable language (high-level language), i.e., a machine language processing (MLP)-based technology that analyzes the executed machine language (a language that controls a machine) with a computer and can be understood by humans.

Master pattern generation method based on control program analysis and training method for cycle analysis model

Growing community of inventors

Suwon-Si, South Korea

Jun Pyo Park