2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)最新文献

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EMI Based Cable Force Monitoring Using the Piezoelectric Ceramic Transducers 基于电磁干扰的压电陶瓷传感器电缆力监测
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970614
Yu Sun, Jianghao Ji, Hong Zhu, Zhiqiang Dong, Dongdong Chen, Gang Wu
{"title":"EMI Based Cable Force Monitoring Using the Piezoelectric Ceramic Transducers","authors":"Yu Sun, Jianghao Ji, Hong Zhu, Zhiqiang Dong, Dongdong Chen, Gang Wu","doi":"10.1109/ICCSI55536.2022.9970614","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970614","url":null,"abstract":"The electromechanical impedance (EMI) method based on piezoelectric ceramics has the advantages of simple operation, fast detection speed, high recognition accuracy, and wide application range. Due to its advantages, monitoring technology based on the EMI method using piezoelectric ceramic transducers has attracted more and more attention in recent years. In this paper, aiming at the problem of cable force loss, the piezoelectric ceramic transducers were coupled to the surface of the end anchor nut/plate and the EMI method was used to investigate the relationship between the impedance and the cable force. Two types of cable anchors under six levels of load were investigated. The results showed that the PZT transducer with copper shell can well shield the surrounding electromagnetic signal interference. The peak of the impedance curve shifted to the higher frequency with the increase of the force. The normalized root mean square deviation (RMSD) value can well represent the level of the cable force.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134029298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A UWB-based Method for Identification and Error Compensation of Non-Line-of-Sight Signals for Indoor Positioning of Ships 基于超宽带的船舶室内定位非视距信号识别与误差补偿方法
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/iccsi55536.2022.9970630
Jinping Chen, Xiaofei Yang, Zhen Su, Zujun He, Qinlan Xue, Feilong Huang
{"title":"A UWB-based Method for Identification and Error Compensation of Non-Line-of-Sight Signals for Indoor Positioning of Ships","authors":"Jinping Chen, Xiaofei Yang, Zhen Su, Zujun He, Qinlan Xue, Feilong Huang","doi":"10.1109/iccsi55536.2022.9970630","DOIUrl":"https://doi.org/10.1109/iccsi55536.2022.9970630","url":null,"abstract":"With the advancement of ship informatization, precise positioning has become a trend for indoor positioning of ships. In the complex indoor environment of ships, UWB signals are easy to be blocked, refracted and reflected in the process of propagation, which leads to the decline of positioning accuracy and affects the positioning effect. In this paper, the influence of non-line of sight (NLOS) signals on UWB signals in UWB ranging process is considered, and the main causes of NLOS errors in ranging process are emphatically analyzed. Gaussian Mixture Model (GMM) is used to identify LOS signals and NLOS signals. Using existing data samples, the ranging error compensation algorithm based on the Least Square Method is studied, and the method studied is experimentally verified. The experimental results show that the proposed method can significantly improve the ranging accuracy of UWB in practical applications, and the ranging error is reduced by 61.91% compared with the traditional ranging algorithm.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132959870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Reinforcement Learning Based Fast Charging of Lithium-Ion Batteries with Different Penalty Coefficients 基于深度强化学习的不同惩罚系数锂离子电池快速充电
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970708
Xueyuan Han, Jingwen Wei
{"title":"Deep Reinforcement Learning Based Fast Charging of Lithium-Ion Batteries with Different Penalty Coefficients","authors":"Xueyuan Han, Jingwen Wei","doi":"10.1109/ICCSI55536.2022.9970708","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970708","url":null,"abstract":"The safe and fast charging is of great significance to improve the practicality of lithium-ion batteries. The rapid temperature rising can increase energy loss and lead to safety problems, which should be taken account in the fast charging optimization process. In this paper, a multi-objective optimal control problem considering charging time, energy loss, and temperature rising is formulated. To solve this problem, a deep reinforcement learning framework incorporated with an electro-thermal model is proposed. The effects of different penalty coefficients on the charging results are presented and discussed. Finally, comparative simulations are conducted to validate the performance of the proposed algorithm. Results show that the proposed charging strategy show better performance than multistage constant charging strategy.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132188936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Fine Track Initiation Algorithm for Group Targets Based on Nearest Neighbor and Graph Theory 基于最近邻和图论的群目标精细航迹起始算法
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970676
Jimin L. Li, Xingxiu Li, Panlong Wu, Jian Wu, Fanjing Huang, Songtao Li
{"title":"A Fine Track Initiation Algorithm for Group Targets Based on Nearest Neighbor and Graph Theory","authors":"Jimin L. Li, Xingxiu Li, Panlong Wu, Jian Wu, Fanjing Huang, Songtao Li","doi":"10.1109/ICCSI55536.2022.9970676","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970676","url":null,"abstract":"For the challenge of fine tracking initiation of dense targets within a group, a fine tracking initiation algorithm for group targets based on nearest neighbor and graph theory is proposed. First, a connectivity graph is established based on the distribution structure of the trajectory measurements and the nearest neighbor principle, then, a weighted adjacency matrix is established from the graph information, and finally, a depth-first traversal is performed based on the connectivity graph and the adjacency matrix to determine and optimize the fine starting trajectories of the targets within the group. The simulation verifies that the proposed algorithm improves the correct track initiation rate; reduces the false track initiation rate; significantly reduces the correlation of multiple point tracks between adjacent moments; and improves the overall accuracy of the initiated tracks compared with the modified logic method, DBSCAN-based and modified Hough transform multi-trail initiation algorithms.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133818702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Architecture and Key Technologies of Autonomous Truck Dispatching System in Open-pit Mines 露天矿卡车自动调度系统体系结构及关键技术研究
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970696
Jianlin Tang, Bin Zhao, Chao Yang, Changcheng Zhou, Shichao Chen, Xiaochun Ni, Yunfeng Ai
{"title":"An Architecture and Key Technologies of Autonomous Truck Dispatching System in Open-pit Mines","authors":"Jianlin Tang, Bin Zhao, Chao Yang, Changcheng Zhou, Shichao Chen, Xiaochun Ni, Yunfeng Ai","doi":"10.1109/ICCSI55536.2022.9970696","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970696","url":null,"abstract":"Dispatching system plays an important role in intelligent mines, and the current research on the dispatching system is mainly aimed at manned vehicles. In the new scenario of unmanned transportation in open-pit mines, traditional dispatching systems are not fully appropriate. To meet the requirements of the unmanned transportation in open-pit mines, a new dispatching system framework being suitable for unmanned transportation scenarios in open-pit mines is proposed in this paper. At the same time, the key technologies of the proposed dispatching system are discussed and analyzed in detail, including the intelligent dispatching, path planning, traffic control and map management. In addition, the implementation of dispatching system and related practical application cases in open-pit mines are discussed and analyzed. The actual application results show that our proposed dispatching system has the high reliability and feasibility, and it can also effectively reduce the downtime of production equipment and improve the production efficiency. It provides an important reference for autonomous driving in open-pit mines.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123919607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Research of Tank Servo Control System Based on Dual-mode and Dual-loop ADRC of PMSM 基于永磁同步电机双模双环自抗扰控制器的油箱伺服控制系统研究
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970565
Jiawei Li, Zongkai Liu, Longjun Qian
{"title":"Research of Tank Servo Control System Based on Dual-mode and Dual-loop ADRC of PMSM","authors":"Jiawei Li, Zongkai Liu, Longjun Qian","doi":"10.1109/ICCSI55536.2022.9970565","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970565","url":null,"abstract":"In order to realize the high-precision control of tank servo system under the road disturbance during driving, an active disturbance rejection controller (ADRC) based on dual-mode and dual-loop structure is designed and introduced into the control of permanent magnet synchronous motor. Firstly, this paper introduces the mathematical model of permanent magnet synchronous motor, then uses Matlab / Simulink software to design its three closed-loop control structure, which is a basic control structure, and then designs a dual-mode and dual-loop ADRC under the same motor parameters. The simulation results show that the control performance of the ADRC based on dual-mode and dual loop structure is better, and the motor servo control system has faster response speed, smaller tracking error.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"485 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127893875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Subsurface Voids Detection of Concrete-Filled Steel Tubular (CFST) Structures Using Percussion in Conjunction with Decision Tree 基于冲击与决策树的钢管混凝土结构地下空洞检测
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970672
Dongdong Chen, Zhouhui Shen, Ying Wang
{"title":"Subsurface Voids Detection of Concrete-Filled Steel Tubular (CFST) Structures Using Percussion in Conjunction with Decision Tree","authors":"Dongdong Chen, Zhouhui Shen, Ying Wang","doi":"10.1109/ICCSI55536.2022.9970672","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970672","url":null,"abstract":"The detection of interface debonding, such as subsurface voids, is a burdensome and laborious task for concrete-filled steel tubular (CFST) structures. In this study, we present a novel but simple method to detect the voids detects exist between core concrete and steel tubular in CFST components. A machine learning (ML) model based on a decision tree was trained and tested. Three voids were mimicked. The depths of the voids are 3cm, 5cm, and 5cm, respectively. A feature extraction approach based on power spectrum density (PSD) was employed, and nine features were obtained by summarizing the PSDs from 1 kHz to 10 kHz with a step of 1kHz. Experimental results show that the accuracy of the 100 times repeated test is 96.33%.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117290856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Heading Control of the Air Cushion Vehicle Based on Fuzzy PID 基于模糊PID的气垫飞行器航向控制
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970669
Xiaoyu Zhang, Longjun Qian
{"title":"Heading Control of the Air Cushion Vehicle Based on Fuzzy PID","authors":"Xiaoyu Zhang, Longjun Qian","doi":"10.1109/ICCSI55536.2022.9970669","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970669","url":null,"abstract":"The air cushion vehicle is affected by aerodynamic force, hydrodynamic force, flexible structure of apron and the interaction of the three factors, which appears highly nonlinear and time-delayed, so it is quite different from the motion characteristics of conventional ships. Due to the existence of these factors, the air cushion vehicle will be disturbed to yaw when sailing, or the ship's heading and speed direction are inconsistent. When the air cushion vehicle travels, the force changes all the time, and the load of the propulsion motor changes in real time. Therefore, when the traditional PID control is used, there will be a problem that the speed overshoot is too large, and the output power frequency cannot meet the requirements. Traditional PID control has poor anti-interference ability, poor tracking performance and large overshoot. Therefore, in this paper, a kind of fuzzy PID controller is designed. Based on the air cushion vehicle's motion model equations, heading control can be simulated using Matlab's Fuzzy toolbox. In the simulation in Matlab, the Fuzzy engine and the PID controller are combined, and the controller part adopts the incremental PID for simulation. The simulation results show that the designed Fuzzy PID controller has better control effect, and step response without static error, short transition time, better stability.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125874017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hybrid Disassembly Lines Considering Employee Training Targets and An Improved Multi-neighborhood Tabu Search Algorithm 考虑员工培训目标的混合拆装线及改进的多邻域禁忌搜索算法
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970700
Ermeng Ma, Peisheng Liu, Xiwang Guo, Jiacun Wang, Shujin Qin, Ying Tang
{"title":"Hybrid Disassembly Lines Considering Employee Training Targets and An Improved Multi-neighborhood Tabu Search Algorithm","authors":"Ermeng Ma, Peisheng Liu, Xiwang Guo, Jiacun Wang, Shujin Qin, Ying Tang","doi":"10.1109/ICCSI55536.2022.9970700","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970700","url":null,"abstract":"Over the years, the disassembly and recycling of waste products have attracted more and more social attention. Nowadays, in many small companies, the cost of pre-job training is sometimes not paid back because of the high turnover rate of employees. This paper proposes on-the-job-training for disassembly employees. The mathematical model of multi-product mixed disassembly balancing problem that considers employee training target is discussed. To maximize the disassembly profit, a tabu search algorithm based on an improved multi-neighborhood search is used to solve this problem. The results show that the improved multi-neighborhood tabu search can quickly obtain the approximate optimal feasible solution.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126677310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Vision-Based Distributed Heterogeneous Swarm Navigation Method 基于视觉的分布式异构群导航方法
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970564
Qiwei Ma, Yifei Wu, Yang Gao, Ziyi Wang
{"title":"Vision-Based Distributed Heterogeneous Swarm Navigation Method","authors":"Qiwei Ma, Yifei Wu, Yang Gao, Ziyi Wang","doi":"10.1109/ICCSI55536.2022.9970564","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970564","url":null,"abstract":"The centralized structure commonly used in the current heterogeneous swarm navigation methods is unreliable, has poor scalability, and relies excessively on communication and external location information. A vision-based distributed heterogeneous swarm navigation method is proposed in this paper, a deep convolutional neural network is adopted to detect nearby agents, the accuracy and speed of detection is enhanced through data enhancement and model pruning. It is shown from simulation experiments that the heterogeneous swarm does not rely on communication and external location information, but only relies on vision, which can achieve safe navigation and formation maintenance.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126748987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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