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Low-Power Heterogeneous Networking Method Based on NB-IoT and WSN 6

Low-Power Heterogeneous Networking Method Based on NB-IoT an...

引用

6th International Conference on Communication Engineering and Technology, ICCET 2023

作者： Guan, Mo Qi, Liangliang Jin, Xi Guan, Suoling Xia, Changqing Xu, Chi Shenyang University of Technology Shenyang110870 China Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

ISBN: (纸本)9798350336153

Digital oilfields generally adopt the multi-hop technology to expand the network scale, and the data generated depends on the large-scale wireless sensor network (WSN) for transmission. However, multi-hop communication will lead to uneven distribution of network energy consumption and premature death of nodes. To prolong the network lifetime of digital oilfields, we extended the narrowband internet of things (NB-IoT) module on some WSN nodes deployed on site to form heterogeneous nodes. Through the heterogeneity of NB-IoT and WSN, the nodes could transmit as little data as possible from other nodes, fundamentally reducing the node energy consumption. Furthermore, an optimization method was proposed that could simultaneously optimize the network lifetime and node expansion cost. The experimental results revealed that the proposed algorithm could greatly prolong the network lifetime while only introducing a small number of nodes. © 2023 IEEE.

关键词： Internet of things

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Migration node selection strategy based on gray prediction algorithm in trusted environment 2

Migration node selection strategy based on gray prediction a...

引用

2nd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2022

作者： Wang, Chen Zhang, Bowen Chen, Xin Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China

ISBN: (纸本)9781665408868

This paper studies the selection strategy of task migration nodes. Considering the security of nodes, this paper analyzes the trusted security model of each node of migration candidates. Security credibility includes three aspects: time credibility, behavior credibility and resource credibility. By calculating the trusted values of migration nodes in these three aspects, Three nodes with the lowest trust value are obtained to preliminarily screen the migration nodes, and the final nodes are determined in the remaining nodes. Because the gray prediction algorithm requires a small number of original data models and has a strong discrete type, it is more suitable for the model selected by the task migration nodes. This paper uses the gray prediction algorithm to finally determine the migration nodes, In the experiment, the cloud simulation platform is used to compare the algorithm and random algorithm, and the results show the effectiveness of the algorithm. © 2022 IEEE.

关键词： Forecasting

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Research on information security risk assessment based on integrated influence of neighborhood 6

Research on information security risk assessment based on in...

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6th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2022

作者： Wang, Tianyu Zhao, Jianming Zhang, Bowen Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781450397148

At present, the information technology of industrial automation control system is developing rapidly, and the system information security is facing severe challenges. Accurate and efficient risk assessment of industrial control systems is conducive to their protection and efficient production. Although there have been quite a few studies on the risk assessment of industrial control systems, there is less consideration of the interaction between the equipment in the system at present. In view of this, this paper proposes an information security risk assessment method based on the impact of neighborhood integration, which can fully consider the changes of equipment functions within the damaged range of industrial control systems. The experimental results in some model systems reveal that the algorithm in this paper can evaluate the information security risks of industrial control systems more accurately, and provides a theoretical method for the stable operation of industrial systems. © 2022 Association for Computing Machinery.

关键词： Risk assessment

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A Novel Semantic-Web Based Technology for control Logic Rapid Reconfiguration of CPPS 7

A Novel Semantic-Web Based Technology for Control Logic Rapi...

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7th International Conference on intelligent Computing and Signal Processing, ICSP 2022

作者： Wang, Peng Wang, Zhongfeng Wang, Chu Hu, Kunyuan Li, Ligang Song, Chunhe Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781665478571

Aiming at solving the problem that the traditional production control system cannot support rapid logical reconfiguration of CPPS, a semantic-web based technology consisting of an overall research framework and three key methods are proposed. Within this overall research framework, product process can be first matched against production resource capabilities, then transformed into the production process of production system, and finally into the control logic of production control system. All the transformations can be done automatically by the help of the proposed semantic-web based methods, namely unified ontology model and related reasoning methods, so that when product process changes, control logic of production can be adjusted efficiently, which enables rapid logical reconfiguration of CPPS. In this paper, the overall framework is first introduced with emphasis on background and technical characteristics of CPPS, analysis of research gaps and overall methods. Then, the three key methods are introduced in detail, namely the unified ontological modelling method of product-process-resources, and the rule-based reasoning methods to automatically transform the production process and control logic, are described in detail. Furthermore, concerning the shortcoming of existing Product-Process-Resource ontological modeling, the description of production system's control behavior is extended within the resource domain, so that key information related to PLC programming such as action sequence and control variable can be integrated and leveraged during the transformation of control logic. Finally, a reconfigurable CPPS prototype is developed based on the proposed framework, and the advantages of the methods are tested and verified. © 2022 IEEE.

关键词： Production control

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Design of a Highly Reliable Redundant Network Card Supporting the IEEE1588 Protocol 5

Design of a Highly Reliable Redundant Network Card Supportin...

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5th IEEE International Conference on Electronics Technology, ICET 2022

作者： Zhang, Bo Yan, Bingjun Liu, Mingzhe Xu, Aidong Wang, Kai Wang, Zhiping Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781665485081

To adapt to the digital and intelligent trend of ship management and meet the requirements of shipborne industrial Ethernet with high reliability and strong real-time performance, this paper develops a shipboard redundant network card with a Zynq7000 series SoC chip as the main controller, and designs the IEEE1588 IP core and PRP IP core on the FPGA side of SoC. The design of the IEEE1588 IPCore can avoid the impact of the jitter of the upper layer protocol stack on the time stamp accuracy;the PRP IPCore implements dual-network redundancy on the FPGA side, reducing the software overhead of the Ethernet protocol stack on the ARM side, and lowers the impact of network switching on synchronization accuracy. Through testing, the point-to-point synchronization accuracy of the network card is better than 50 ns, and the dual-network redundancy switch can be quickly completed when the network is disconnected. The design of the network card greatly improves the consistency and accuracy of the internal time of the ship system, and meets the requirements for high reliability, fast fault switching and recovery. © 2022 IEEE.

关键词： System-on-chip

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Prior Knowledge Informed Neural Network for Subsurface Flow Prediction

Prior Knowledge Informed Neural Network for Subsurface Flow ...

引用

IEEE International Symposium on Industrial Electronics (ISIE)

作者： Haibo Cheng Shichao Li Peng Zeng State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (数字)9798350394085

ISBN: (纸本)9798350394092

Data-driven deep learning has been widely applied to solve subsurface flow problems. However, it is difficult to achieve accurate prediction with pure data-driven methods, especially when there is only a small amount of valid data. Prior knowledge is pre-existent and comes from an independent source. The neural network can be informed by prior knowledge to improve algorithm performance even with limited and sparse data. In this study, prior knowledge informed neural network (PKINN) is proposed to predict subsurface flow. The prior knowledge, on the one hand, is embedded in the neural networks as integrated loss function to inform the training process of deep learning methods. On the other hand, it is used as part of input term of neural network to improve calculation accuracy. Subsurface flow models are built to verify the proposed PKINN model. The results show that the PKINN method can solve subsurface flow problems effectively.

关键词： Knowledge engineering Deep learning Training Industrial electronics Solid modeling Accuracy Neural networks

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A New Method for Automatic Planning of Cyber-Physical Production System's control Logic based on State Space Method and Semantic Web Technology 7

A New Method for Automatic Planning of Cyber-Physical Produc...

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7th International Conference on intelligent Computing and Signal Processing, ICSP 2022

作者： Wang, Peng Wang, Zhongfeng Li, Ligang Wang, Chu Hu, Kunyuan Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781665478571

Rapid reconfiguration is an important capability of flexible production system supporting personalized customization. When the product requirement change and the existing capacity configuration of the production system cannot meet the new requirement, the production system needs to be reconfigured. Aiming at automating the control logic planning process, this paper propose a new method based on state space and semantic web. Unified modelling concepts and relations between product, equipment and production system are built in an ontological model and different types of semantic queries are defined to process the ontology instance which will be leveraged by the process to construct the state space model. In addition, an linear programming method is used to drive the final control logic inside the generated space model. © 2022 IEEE.

关键词： State space methods

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A Novel Cyber-physical production systems (CPPS) Architecture for Rapid Reconfiguration 7

A Novel Cyber-physical production systems (CPPS) Architectur...

引用

7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering

ISBN: (纸本)9781510656437

Cyber-physical production systems (CPPS) is of great importance for improving production efficiency. In this paper, first, the background and technical characteristics of CPPS are introduced. Aiming at dealing with the challenge of integration in traditional production management and control systems, a CPPS architecture that supports rapid reconfiguration is proposed. The architecture is based on service-oriented architecture, so it has the characteristics of peer-to-peer interaction and flexible integration. In this way, engineering data integration, business logic transformation and engineering process support can be achieved. Based on the proposed architecture, a reconfigurable CPPS prototype is developed, and the advantages of the architecture are tested and verified. © 2022 SPIE. All rights reserved.

关键词： Production efficiency

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Research on Multiple Automated Guided Vehicles Path Planning to Reduce Default Time 2

Research on Multiple Automated Guided Vehicles Path Planning...

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2nd IEEE International Conference on Data Science and Computer Application, ICDSCA 2022

作者： Liu, Yiyang Yan, Shuaihua Hou, Zheng Zhao, Yang Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences China Kunshan Intelligent Equipment Research Institute Key Laboratory of Networked Control Systems Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences China University of Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China College of Information Science and Engineering Northeastern University Shenyang China School of Automation and Electrical Engineering Shenyang Ligong University Shenyang China

ISBN: (数字)9781665472005

ISBN: (纸本)9781665472005

This paper studies the path planning problem of multiple automated guided vehicles (multi-AGV) in a matrix manufacturing workshop. We proposed the multi-AGV path planning problem with default time, which is a variant of the classic path planning problem. In order to ensure the timely completion of each task, the default time of the task is explicitly considered. The goal is to obtain a conflict-free path with the minimum total default time, total time, and total path length. For these three goals, this problem is NP-hard. In order to solve this problem better, we established a multi-objective optimization model of total default time, total time and total path length of multi-AGV in flexible manufacturing environment. This paper proposes a multi-AGV path planning method that integrates game theory and A∗ algorithm. This method regards each AGV as a participant in the game model, through the default time obtained from each game dynamically adjusts the probability of each AGV planning the next path, and uses game theory to help the system dynamically select the most suitable AGV to plan the next path to improve the on-time delivery rate of tasks. Finally, the simulation results show that the multi-AGV path planning method integrating game theory and A∗ algorithm further reduces the total default time, total time and total path length of all AGVs. © 2022 IEEE.

关键词： Motion planning

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Research on Sensorless control of Pulse Generator based on Sliding Mode Observer

Research on Sensorless Control of Pulse Generator based on S...

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Artificial Intelligence and automation control (AIAC), International Conference on

作者： Hui Zhang Zhiguo Wu Bopi Jin Shengxuan Yang Guoliang Yin College of Electrical and Control Engineering Shenyang Jianzhu University Shenyang China Shenyang Institute of Automation & Institutes of Robotics and Intelligent Manufacturing Chinese Academy of Sciences College of Electrical and Control Engineering Shenyang Jianzhu University & State Key Laboratory of Robotics Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences & Institutes of Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

To address the problems of chattering and slow response in the sliding mode control system of surface-mounted permanent magnet synchronous motor (SPMSM), a novel sliding mode controller combined with an enhanced sliding mode observer is proposed. A new reaching law of sliding mode is designed, which uses the tanh function as the switching function of the control system to smooth the switching process. The terminal attractor is introduced to improve the convergence speed and control quality of the system. An improved sliding mode observer is developed, which replaces the sign function with a continuous function, compensates for the observation error, reduces the chattering effect, and improves the observation accuracy. A simulation model of double closed-loop speed control system based on the proposed sliding mode controller and observer is established, and a simulation experiment is conducted to compare it with the PI control system and the sliding mode control system based on exponential reaching law. The simulation results show that the proposed control strategy can effectively diminish the chattering effect, enhance the system convergence, and better track the given signal.

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