Dynamic Optimization of Data Packet-based Communication for PLC Visual Monitoring

Ju, Changjiang; Yang, Genke; Chen, Yu‐Wang; Pan, Changchun

doi:10.3390/app9081721

Cited by 4 publications

(4 citation statements)

References 25 publications

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“…The time delay can be either network-induced or due to designed timers as part of PLC instructions. Network-induced delays occur when the PLC transmits a large data packet [33]. The duration of the time delay due to the transmission varies with different water treatment facilities, although it is usually within a very short time.…”

Section: Programmable Logic Controllers (Plc)-based Whitelist Systemmentioning

confidence: 99%

Combined Anomaly Detection Framework for Digital Twins of Water Treatment Facilities

Wei

Law

Yang

et al. 2022

Water

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Digital twins of cyber-physical systems with automated process control systems using programmable logic controllers (PLCs) are increasingly popular nowadays. At the same time, cyber-physical security is also a growing concern with system connectivity. This study develops a combined anomaly detection framework (CADF) against various types of security attacks on the digital twin of process control in water treatment facilities. CADF utilizes the PLC-based whitelist system to detect anomalies that target the actuators and the deep learning approach of natural gradient boosting (NGBoost) and probabilistic assessment to detect anomalies that target the sensors. The effectiveness of CADF is verified using a physical facility for water treatment with membrane processes called the Secure Water Treatment (SWaT) system in the Singapore University of Technology and Design. Various attack scenarios are tested in SWaT by falsifying the reported values of sensors and actuators in the digital twin process. These scenarios include both trivial attacks, which are commonly studied, as well as non-trivial (i.e., sophisticated) attacks, which are rarely reported. The results show that CADF performs very well with good detection accuracy in all scenarios, and particularly, it is able to detect all sophisticated attacks while ongoing before they can induce damage to the water treatment facility. CADF can be further extended to other cyber-physical systems in the future.

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Section: Programmable Logic Controllers (Plc)-based Whitelist Systemmentioning

confidence: 99%

Combined Anomaly Detection Framework for Digital Twins of Water Treatment Facilities

Wei

Law

Yang

et al. 2022

Water

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“…The PLC program was divided into an engine, control, and customizing program [1][2][3][4]. The PLC automatically develops the corresponding acceleration and deceleration operating curves according to the displacement.…”

Section: Introductionmentioning

confidence: 99%

Modification of Control Oil Feeding with PLC Using Simulation Visual Basic and Neural Network Analysis

Yuliza

Muwardi

Pratama

et al. 2022

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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The oil feeding system is an oil distribution system used in engine lubrication by flowing it directly to the engine parts to be lubricated through pipes. In addition, it is also a raw material for the production process by collecting the oil first in the storage tank, then weighing it on the oil scale before use in the production process. The current control is still using the conventional model. The operating system is still manual, and the absence of identity and damage information makes it difficult for the engineer to troubleshoot. The research method is to modify the oil feeding system control using PLC (Programmable Logic Controller) and Visual Basic to display process information. This process uses the Neural Network (NN) method. The simulation results show that the PLC program and visual basic software can be connected properly. The speed of the data transfer test connection that can be obtained is 32 ms. The prediction process of the oil feeding system using the backpropagation algorithm Neural Network and the activation function, which uses the binary sigmoid function (logsig) with the 17-10-1 architecture having very good performance getting the MSE value below the error value of 0.001 maximum epoch 961 and hidden layer 10 with an MSE value of 0.00099915.

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“…Based on robust least-square approach, Wu et al carried out a parameter-dependent predictive controller and an iterative algorithm to solve the packet loss and uncertainty optimization problem for a networked robotic visual servoing system [10]. Ju et al presents a dynamic optimization solution for the data packet-based communication of programmable logic controller (PLC) visual monitoring, and the objective is to improve the communication efficiency between a supervisory computer and field PLCs in consideration of the network communication performance, such as packet loss [11].…”

Section: Introductionmentioning

confidence: 99%

Influence and Optimization of Packet Loss on the Internet-Based Geographically Distributed Test Platform for Fuel Cell Electric Vehicle Powertrain Systems

et al. 2020

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In view of recent developments in fuel cell electric vehicle powertrain systems, Internet-based geographically distributed test platforms for fuel cell electric vehicle powertrain systems become a development and validation trend. Due to the involvement of remote connection and the Internet, simulation with connected models can suffer great uncertainty because of packet loss. Such a test platform, including packet loss characteristics, was built using MATLAB/Simulink for use in this paper. The simulation analysis results show that packet loss affects the stability of the whole test system. The impact on vehicle speed is mainly concentrated in the later stage of simulation. Aiming at reducing the effect of packet loss caused by Internet, a robust model predictive compensator was designed. Under this compensator, the stability of the system is greatly improved compared to the system without a compensator. INDEX TERMS Fuel cell electric vehicle, powertrain system, Internet-based distributed test platform, packet loss, robust model prediction compensator.

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Dynamic Optimization of Data Packet-based Communication for PLC Visual Monitoring

Cited by 4 publications

References 25 publications

Combined Anomaly Detection Framework for Digital Twins of Water Treatment Facilities

Combined Anomaly Detection Framework for Digital Twins of Water Treatment Facilities

Modification of Control Oil Feeding with PLC Using Simulation Visual Basic and Neural Network Analysis

Influence and Optimization of Packet Loss on the Internet-Based Geographically Distributed Test Platform for Fuel Cell Electric Vehicle Powertrain Systems

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