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Automatic Planning Method of Pipe-Line systems by Petri Nets 4th

Automatic Planning Method of Pipe-Line Systems by Petri Nets

引用

4th International Conference on Energy Power and Automation engineering, ICEPAE 2023

作者： Luo, Jiliang Lin, Zexuan Li, Xuhang Liu, Wei Pan, Chunrong School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou341000 China College of Information Science and Engineering Huaqiao University Xiamen361021 China Fujian Engineering Research Center of Motor Control and System Optimal Schedule Xiamen361021 China

ISBN: (纸本)9789819988778

This paper presents an automatic planning method for pipe-line systems under complex logic control rules based on Petri nets. Petri nets are usually modeled manually, which can lead to incomplete models of complex logic control systems. To address this issue, we extend the planning domain definition language (PDDL), which can be automatically translated into Petri nets. For complex logic control pipe-line systems, given a set of tasks, it is difficult to quickly formulate the process execution sequence through manual calculation. This paper designs an automatic pipe-line system planning method based on Petri nets, which can accurately generate Petri nets model and process execution sequences. The beer filtration system is taken as an example to illustrate the method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Petri nets

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Heuristic Scheduling Method for FMSs Based on P-timed Petri Nets and Deep Learning 19

Heuristic Scheduling Method for FMSs Based on P-timed Petri ...

引用

19th IEEE International Conference on Networking, Sensing and control, ICNSC 2022

作者： Li, Jun Luo, Jiliang Li, Xuhang Yi, Sijia Pan, Chunrong College of Information Science and Engineering Huaqiao University Xiamen361021 China Fujian Engineering Research Center of Motor Control and System Optimal Schedule Xiamen361021 China School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou341000 China

ISBN: (纸本)9781665472432

As for the scheduling issue of flexible manufacturing systems (FMS), a heuristic method is proposed based on Petri nets and deep learning. First, an algorithm is presented to generate a heuristic data set by means of the operation rules of P-timed Petri nets. Second, a deep neural network (DNN) is designed to learn the heuristics of Petri net behavior from the data set. Third, the DNN is used as a heuristic function in a dynamic window search (DWS) algorithm to obtain an optimal or near-optimal schedule strategy for an FMS. Finally, a mechanical arm handling system is taken as an example, and numerical experiments are carried out. The results show that the DNN can represent a heuristic function with high precision, and its average estimation error is less than 0.05%, and that the proposed DWS algorithm is very efficient to resolve a given FMS schedul issue. © 2022 IEEE.

关键词： Deep neural networks

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Heuristic Scheduling Method of Flexible Manufacturing Based on Petri Nets and Artificial Potential Field 19

Heuristic Scheduling Method of Flexible Manufacturing Based ...

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19th IEEE International Conference on Networking, Sensing and control, ICNSC 2022

作者： Yi, Sijia Luo, Jiliang Li, Xuhang Li, Jun Pan, Chunrong College of Information Science and Engineering Huaqiao University Xiamen361021 China Fujian Engineering Research Center of Motor Control and System Optimal Schedule Xiamen361021 China School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou341000 China

ISBN: (纸本)9781665472432

As for the optimal scheduling issue of closely coupled the path planning of automated guided vehicles (AGVs) and task allocation in flexible manufacturing systems (FMSs), a heuristic optimization method is proposed based on Petri nets and an artificial potential field (APF). First, a manufacturing system with AGVs is described as a task Petri net and a path one, and then its Petri net model is obtained by composing the two nets together. Second, the topology of the Petri net model is used to design the potential energy parameters for the network junctions, and, consequently, the APF is designed for the Petri net model. Third, a heuristic functions is proposed to estimate the minimal terminate times of the Petri net model by means of its APF. Further, a heuristic beam search algorithm is presented to calculate a near optimal schedule by the Petri net model and its APF. Finally, numerical experiments are carried out, and the results show that optimal or near-optimal schedules can be calculated in the reasonable times by our algorithm. © 2022 IEEE.

关键词： Flexible manufacturing systems

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Parallel Petri Nets Modeling Method Of Manufacturing system Based On The improved PDDL 19

Parallel Petri Nets Modeling Method Of Manufacturing System ...

引用

19th IEEE International Conference on Networking, Sensing and control, ICNSC 2022

作者： Li, Xuhang Luo, Jiliang Li, Jun Yi, Sijia Pan, Chunrong College of Information Science and Engineering Huaqiao University Xiamen361021 China Fujian Engineering Research Center of Motor Control and System Optimal Schedule Xiamen361021 China School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou341000 China

ISBN: (纸本)9781665472432

Parallel Petri nets are a class of Petri nets which can take into account scheduling and control issues of manufacturing systems [1]. However, Its designed relies on the manual effort, which is very difficult and boring for real manufacturing systems. Therefore, this work defines an improved planning domain definition language (PDDL) to automatically translate it to a parallel Petri net. In details, the PDDL syntax is extended to make it more accurate and convenient to describe actions, tasks and conditions. Elements of an extended PDDL are automatically represented by places and transitions of a parallel Petri net. Finally, an experiment is taken to illustrate and verify our method. © 2022 IEEE.

关键词： Petri nets

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Image-Free Positioning Tracking Scheme via Single Pixel Detection

Image-Free Positioning Tracking Scheme via Single Pixel Dete...

引用

International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Yu, Yuanjin Yang, Zhaohua Li, Wang Shao, Hui School of Automation Beijing Institute of Technology Beijing100081 China School of Instrumentation Science and Opto-electrical Engineering Beihang University Beijing100191 China College of Information Science and Engineering Huaqiao University Xiamen361021 China Fujian Engineering Research Center of Motor Control and System Optimal Schedule Huaqiao University Xiamen361021 China

ISBN: (纸本)9789811581540

An image free positioning scheme using single pixel detection is proposed to improve the performance of positioning tracking. We use a bucket detector without spatial resolution to measure the light intensity, brings the merit of high sensitivity. The proposed scheme consist of the single pixel measuring step and positioning step. Firstly, we design the patterns of the digital mirror device and then get a sequence of measured scalar values. No image is reconstructed in this step. Secondly, by treating the vector of the bucket values as a virtual image, the image matching method is applied to get position of the object. This method significantly reduces sampling data in measuring process and complexity in matching process, which can be used for high-speed positioning tracking and image free guidance. Finally, a simulation case is performed to demonstrate the effectiveness. The results show the positioning tracking is achieved in a very low sampling rate. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image enhancement

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Colored Knowledge Petri Nets and Logical Inference 18

Colored Knowledge Petri Nets and Logical Inference

引用

18th IEEE International Conference on Networking, Sensing and control, ICNSC 2021

作者： Tan, Kaicheng Luo, Jiliang Zhang, Hongbin Lin, Xinjie Zheng, Enhui Huaqiao University College of Information Science and Engineering Xiamen361021 China Fujian Engineering Research Center of Motor Control and System Optimal Schedule Xiamen361021 China China Jiliang University Unmanned System Application Technology Research Institute Hangzhou310018 China

ISBN: (纸本)9781665440486

It is difficult to visualize and comprehend a knowledge Petri net since its size polynomially grows with the number of logical symbols. In order to tackle the issue, a colored-Petrinet based approach is proposed to perform the logical inference. First, a correlative symbol set is defined to represent the set of symbols that have relations via sentences in a knowledge base, and the semantic constraints are similarly categorized into several correlative constraint sets. Second, the generalized symbols and generalized semantic constraints are defined according to the coefficient matrix of a semantic constraint set, which have the same constraint on multiple sets of correlative symbols. Third, an algorithm is constructed to design a colored knowledge Petri net based on generalized symbols and generalized semantic constraints. Fourth, an inference engine is proposed based on the newly defined transition-firing rules, and can be used to infer or reveal hidden facts. The wumpus world problem is taken as an example to illustrate and verify the proposed method. © 2021 IEEE.

关键词： Petri nets

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Heuristic Scheduling Method of Flexible Manufacturing Based on Petri Nets and Artificial Potential Field

Heuristic Scheduling Method of Flexible Manufacturing Based ...

引用

IEEE International Conference on Networking, Sensing and control

作者： Sijia Yi Jiliang Luo Xuhang Li Jun Li Chunrong Pan College of Information Science and Engineering Huaqiao University Xiamen China Fujian Engineering Research Center of Motor Control and System Optimal Schedule Xiamen China School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou China

ISBN: (纸本)9781665472449

关键词： Potential energy schedules Heuristic algorithms Petri nets Optimization methods optimal scheduling Path planning

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Parallel Petri Nets Modeling Method Of Manufacturing system Based On The improved PDDL

Parallel Petri Nets Modeling Method Of Manufacturing System ...

引用

IEEE International Conference on Networking, Sensing and control

作者： Xuhang Li Jiliang Luo Jun Li Sijia Yi Chunrong Pan College of Information Science and Engineering Huaqiao University Xiamen China Fujian Engineering Research Center of Motor Control and System Optimal Schedule Xiamen China School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou China

ISBN: (纸本)9781665472449

关键词： Job shop scheduling Petri nets Manuals Syntactics Sensors Planning Task analysis

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Heuristic Scheduling Method for FMSs Based on P-timed Petri Nets and Deep Learning

Heuristic Scheduling Method for FMSs Based on P-timed Petri ...

引用

IEEE International Conference on Networking, Sensing and control

作者： Jun Li Jiliang Luo Xuhang Li Sijia Yi Chunrong Pan College of Information Science and Engineering Huaqiao University Xiamen China Fujian Engineering Research Center of Motor Control and System Optimal Schedule Xiamen China School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou China

ISBN: (纸本)9781665472449

关键词： Deep learning schedules Job shop scheduling Frequency modulation Heuristic algorithms Petri nets Neural networks

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Predictive Monitoring Algorithm Based on Global Feature Encoding

Predictive Monitoring Algorithm Based on Global Feature Enco...

引用

2020 IEEE International Conference on Networking, Sensing and control, ICNSC 2020

作者： Jin, Mengsi Ye, JianHong Luo, JiLiang Lin, Yan College of Computer Science and Technology Huaqiao University Xiamen361021 China College of Information Science and Engineering Huaqiao University Fujian Engineering Research Center of Motor Control and System Optimal Schedule Xiamen361021 China

ISBN: (纸本)9781728168531

Predictive monitoring is a branch of process mining to provide some valuable information that enables proactive corrective actions to mitigate risks. This paper proposes a new predictive monitoring algorithm, which divides the data processing into three parts: prefix extraction, prefix bucketing and prefix encoding. The presented encoding methods are based on the data structure of event log, and it will cause the loss of information in the raw data. Our main contribution is to define a new global feature encoding method, which keeps more information in raw data and has better scalability. Experiments are presented to demonstrate the proposed approach. © 2020 IEEE.

关键词： Signal encoding

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