Electric power transformer is one of the most necessary part in power system, and hence, it’s significant to diagnose the transformer malfunction in advance; A methods of prediction for transformer malfunction based on oil chromatography is described; 4 models for time series prediction are illustrated, and the specific methods for model identification and ordering are explained; The time series model was applied to predict transformer malfunction in the oil chromatography analysis example, and accurate results were obtained, which shows that the method described in this paper can effectively predict the concentration of dissolved gas in transformer oil in future, and diagnose the types of malfunctions so that meet the actual need of projects.
{"title":"A Method of Prediction for Transformer Malfunction Based on Oil Chromatography","authors":"Hao Wu, Yang Zhou, Chuanqi Yang, Hongmei Zhu, Dongxin Hao, Shuangzan Ren","doi":"10.1109/CACRE50138.2020.9230296","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230296","url":null,"abstract":"Electric power transformer is one of the most necessary part in power system, and hence, it’s significant to diagnose the transformer malfunction in advance; A methods of prediction for transformer malfunction based on oil chromatography is described; 4 models for time series prediction are illustrated, and the specific methods for model identification and ordering are explained; The time series model was applied to predict transformer malfunction in the oil chromatography analysis example, and accurate results were obtained, which shows that the method described in this paper can effectively predict the concentration of dissolved gas in transformer oil in future, and diagnose the types of malfunctions so that meet the actual need of projects.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130362782","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}
Pub Date : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230213
Ying Wang, Yajie Wang, Haiyan Xie
This paper establishes a fault diagnosis model for ballast water system on ships based on support vector machine. We explored how to obtain the parameters of the optimal kernel function by MATLAB. Meanwhile, we compared the accuracy of fault classification with BP neural network and RBF neural network. Numerical experiments for fault classification demonstrate that the proposed method has higher classification accuracy and generalization ability than other two baseline methods.
{"title":"Fault Diagnosis for Ballast Water System Operation on Ships based on SVM","authors":"Ying Wang, Yajie Wang, Haiyan Xie","doi":"10.1109/CACRE50138.2020.9230213","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230213","url":null,"abstract":"This paper establishes a fault diagnosis model for ballast water system on ships based on support vector machine. We explored how to obtain the parameters of the optimal kernel function by MATLAB. Meanwhile, we compared the accuracy of fault classification with BP neural network and RBF neural network. Numerical experiments for fault classification demonstrate that the proposed method has higher classification accuracy and generalization ability than other two baseline methods.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127566018","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}
Pub Date : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230038
Wenbin Huang, Hao Xu, Jian Wang, Chuan Miao, Yi Ren, Lifeng Wang
In the field of UUV control system design, fault-tolerant control and redundancy management is the important method to improve system reliability. This paper addresses a fault-tolerant steering control system to improve the reliability of UUV. A novel fault-tolerant control system, which uses the hybrid redundant structural configuration based on the characteristics of the X rudder UUV, is designed. The configuration is based on duplex redundant control calculation coupled with a quadruplex redundant actuator. Redundancy management strategies and algorithms are used to implement the UUV fault-tolerant control. The analysis indicates that the reliability of the control system which used the proposed configuration is improved obviously compared with the conventional configuration.
{"title":"Redundancy Management for Fault-tolerant Control System of an Unmanned Underwater Vehicle","authors":"Wenbin Huang, Hao Xu, Jian Wang, Chuan Miao, Yi Ren, Lifeng Wang","doi":"10.1109/CACRE50138.2020.9230038","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230038","url":null,"abstract":"In the field of UUV control system design, fault-tolerant control and redundancy management is the important method to improve system reliability. This paper addresses a fault-tolerant steering control system to improve the reliability of UUV. A novel fault-tolerant control system, which uses the hybrid redundant structural configuration based on the characteristics of the X rudder UUV, is designed. The configuration is based on duplex redundant control calculation coupled with a quadruplex redundant actuator. Redundancy management strategies and algorithms are used to implement the UUV fault-tolerant control. The analysis indicates that the reliability of the control system which used the proposed configuration is improved obviously compared with the conventional configuration.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127523464","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}
Pub Date : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230115
Jingping Shao, Yangyang Chen
A novelty of distributed parameter estimation strategy for a class of nonlinear system with a time-varying parameter is proposed in this paper. The approach relies upon the concepts of invariant manifold and cooperative persistent excitation condition, does not require a priori knowledge of the time-varying parameters. In addition, it is shown that the parameter estimation error is not only bounded but also can converge to a small neighborhood of the origin for sufficiently large value of gain. A numerical simulation example is presented to demonstrate the effectiveness of the proposed method.
{"title":"Distributed Parameter Estimation Using Invariant Manifold Approach","authors":"Jingping Shao, Yangyang Chen","doi":"10.1109/CACRE50138.2020.9230115","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230115","url":null,"abstract":"A novelty of distributed parameter estimation strategy for a class of nonlinear system with a time-varying parameter is proposed in this paper. The approach relies upon the concepts of invariant manifold and cooperative persistent excitation condition, does not require a priori knowledge of the time-varying parameters. In addition, it is shown that the parameter estimation error is not only bounded but also can converge to a small neighborhood of the origin for sufficiently large value of gain. A numerical simulation example is presented to demonstrate the effectiveness of the proposed method.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133730574","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}
Pub Date : 2020-09-01DOI: 10.1109/CACRE50138.2020.9229930
Ping Xu, Na Li, Wei-lai Zhong, J. Dai, Guan-chu Wang
The rapid development of fresh food e-commerce provides an effective solution for increasing farmers’ income, meeting consumers’ needs and reducing the loss of fresh food circulation. As the key link of fresh food e-commerce logistics, the distribution is of great significance to improve consumer satisfaction and reducing the operating cost of e-commerce enterprises. This article divides the distribution regions of fresh food e-commerce through the LinkRank community detection algorithm based on the complex networks, explores and constructs a method of the division of the terminal distribution regions for fresh food e-commerce logistics by using simulated annealing algorithm to optimizes the network modularity, and verified the effectiveness of the method by analysing the case of Jingkou District of Zhenjiang City. Hope to offer a reference for fresh food e-commerce to construct the logistics distribution system suitably.
{"title":"The Division of the Terminal Distribution Regions for Fresh Food E-commerce Based on the Complex Networks","authors":"Ping Xu, Na Li, Wei-lai Zhong, J. Dai, Guan-chu Wang","doi":"10.1109/CACRE50138.2020.9229930","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9229930","url":null,"abstract":"The rapid development of fresh food e-commerce provides an effective solution for increasing farmers’ income, meeting consumers’ needs and reducing the loss of fresh food circulation. As the key link of fresh food e-commerce logistics, the distribution is of great significance to improve consumer satisfaction and reducing the operating cost of e-commerce enterprises. This article divides the distribution regions of fresh food e-commerce through the LinkRank community detection algorithm based on the complex networks, explores and constructs a method of the division of the terminal distribution regions for fresh food e-commerce logistics by using simulated annealing algorithm to optimizes the network modularity, and verified the effectiveness of the method by analysing the case of Jingkou District of Zhenjiang City. Hope to offer a reference for fresh food e-commerce to construct the logistics distribution system suitably.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126195325","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}
Pub Date : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230311
Xiangxu Lin, Saifuddin Mahmud, S. Román, Alfred Shaker, Zachary Law, MinYi Lin, Jong-Hoon Kim
Increasing occurrences of natural and man-made disasters have driven the demand for search and rescue (S&R) robots. However, state-of-the-art S&R robots serve as specialpurpose machines with limited use cases. This is in part due to a lack of human-centered designs, particularly in multilateral control and human-robot interactions. Thus, we propose TeleBot-R2, a novel transformable centaur-robot. This robot extends our work presented at the 2018 World Robot Summit, a hybrid humanoid (immersive telepresence) robot with a multilateral control system. Our new version introduces a dual flipper caterpillar track base with an enhanced mechanically dynamic humanoid upper body. This transformer robot can contract into multiple configurations that change it’s support polygon and means of locomotion - allowing it to navigate more efficiently through different terrains. Operational awareness is heightened through a VR immersive control interface that interacts with an AI-assisted multilateral control system. This paper presents our mechanical design, control architecture, immersive interfaces, and AI-assistant.
{"title":"Design of A Novel Transformable Centaur Robot with Multilateral Control Interface for Search and Rescue Missions","authors":"Xiangxu Lin, Saifuddin Mahmud, S. Román, Alfred Shaker, Zachary Law, MinYi Lin, Jong-Hoon Kim","doi":"10.1109/CACRE50138.2020.9230311","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230311","url":null,"abstract":"Increasing occurrences of natural and man-made disasters have driven the demand for search and rescue (S&R) robots. However, state-of-the-art S&R robots serve as specialpurpose machines with limited use cases. This is in part due to a lack of human-centered designs, particularly in multilateral control and human-robot interactions. Thus, we propose TeleBot-R2, a novel transformable centaur-robot. This robot extends our work presented at the 2018 World Robot Summit, a hybrid humanoid (immersive telepresence) robot with a multilateral control system. Our new version introduces a dual flipper caterpillar track base with an enhanced mechanically dynamic humanoid upper body. This transformer robot can contract into multiple configurations that change it’s support polygon and means of locomotion - allowing it to navigate more efficiently through different terrains. Operational awareness is heightened through a VR immersive control interface that interacts with an AI-assisted multilateral control system. This paper presents our mechanical design, control architecture, immersive interfaces, and AI-assistant.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"310 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127492012","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}
Pub Date : 2020-09-01DOI: 10.1109/CACRE50138.2020.9229989
Fengjie Cao, Xuemei Xu, Peng Ouyang, Yipeng Ding, K. Sun
Electroencephalography (EEG) can be applied in medical diagnosis forecasts via using Brain-Computer Interface (BCI) technology. EEG signals are low voltage signals that are susceptible to various types of noise such as 50 Hz power frequency, noise between the electrodes and the skin and so on. In this work, an enhancement method for EEG data based on a deep neural network (DNN) architecture search method in which the spatial feature loss acts as a regularizer while training the end-to-end network for best noise removal effect is proposed. The proposed system realizes noise reduction by using DNNs, which employs an alternative objective function combining spatial feature loss with time-domain feature loss. The spatial feature can be obtained by Common Spatial Pattern (CSP) algorithm. Experimental results show that auto DNNs with regularization of spatial feature loss can efficiently eliminate the simulated noise in EEG data and makes the mean square error between predicted values and real values as small as 0.06. In addition, the proposed objective function outperforms objective function with single time-domain feature loss. Meanwhile, the number of parameters in auto DNNs is obviously less than other models by 81.7% to 94.2% and also less when using proposed objective function than not use it by 28.6%. These results demonstrate that proposed DNNs based method can reduce parameters and computation. Therefore the proposed method is promising for the wearable application and embedded scenarios.
{"title":"EEG Enhancement by Auto DNNs with Regularization of Spatial Feature Loss","authors":"Fengjie Cao, Xuemei Xu, Peng Ouyang, Yipeng Ding, K. Sun","doi":"10.1109/CACRE50138.2020.9229989","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9229989","url":null,"abstract":"Electroencephalography (EEG) can be applied in medical diagnosis forecasts via using Brain-Computer Interface (BCI) technology. EEG signals are low voltage signals that are susceptible to various types of noise such as 50 Hz power frequency, noise between the electrodes and the skin and so on. In this work, an enhancement method for EEG data based on a deep neural network (DNN) architecture search method in which the spatial feature loss acts as a regularizer while training the end-to-end network for best noise removal effect is proposed. The proposed system realizes noise reduction by using DNNs, which employs an alternative objective function combining spatial feature loss with time-domain feature loss. The spatial feature can be obtained by Common Spatial Pattern (CSP) algorithm. Experimental results show that auto DNNs with regularization of spatial feature loss can efficiently eliminate the simulated noise in EEG data and makes the mean square error between predicted values and real values as small as 0.06. In addition, the proposed objective function outperforms objective function with single time-domain feature loss. Meanwhile, the number of parameters in auto DNNs is obviously less than other models by 81.7% to 94.2% and also less when using proposed objective function than not use it by 28.6%. These results demonstrate that proposed DNNs based method can reduce parameters and computation. Therefore the proposed method is promising for the wearable application and embedded scenarios.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123641568","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}
Due to the energy composition of China rich in coal, poor in oil and low in gas, coal will continue to be the main energy source in China for a long time. In order to improve the intelligence level of coal mine and realize the efficient and clean utilization, coal and gangue sorting is the research focus of many experts and scholars. At present, the construction of the intelligent visual coal and gangue separation platform is complex, the algorithm effect is difficult to verify, and the research and development cost is high, which is not conducive to the progress of technology. In this paper, the intelligent visual gangue sorting system is built based on the robot simulator CoppeliaSim, combining the robot virtual simulation technology with intelligent coal gangue separation system. The modeling of the whole system is highly close to the real scene, and is coordinated with the software program, which lays a good foundation for the intelligent coal and gangue separation, provides a new way to solve the problem of system construction, and improves the level of intelligence by using virtual and real methods.
{"title":"Construction of intelligent visual coal and gangue separation system based on CoppeliaSim","authors":"Zhiyuan Sun, Dongjun Li, Linlin Huang, Biao Liu, Ruiqing Jia","doi":"10.1109/CACRE50138.2020.9230077","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230077","url":null,"abstract":"Due to the energy composition of China rich in coal, poor in oil and low in gas, coal will continue to be the main energy source in China for a long time. In order to improve the intelligence level of coal mine and realize the efficient and clean utilization, coal and gangue sorting is the research focus of many experts and scholars. At present, the construction of the intelligent visual coal and gangue separation platform is complex, the algorithm effect is difficult to verify, and the research and development cost is high, which is not conducive to the progress of technology. In this paper, the intelligent visual gangue sorting system is built based on the robot simulator CoppeliaSim, combining the robot virtual simulation technology with intelligent coal gangue separation system. The modeling of the whole system is highly close to the real scene, and is coordinated with the software program, which lays a good foundation for the intelligent coal and gangue separation, provides a new way to solve the problem of system construction, and improves the level of intelligence by using virtual and real methods.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115538035","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}
Pub Date : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230261
Jingqi Zhang, Shuanghe Yu, Yan Yan, Ying Zhao
This paper proposes a novel fixed-time control scheme for trajectory tracking of marine surface vessels (MSVs). A fixed-time disturbance observer (FDO) is introduced to improve the robustness. Taking advantage of the FDO, a fixed-time adding a power integrator (FAPI) control law is employed to trajectory tracking control design. The proposed scheme can guarantee an MSV track a desired trajectory accurately, and the tracking errors converge to zero in fixed time under disturbances. Meanwhile, note that the convergence time is independent of the initial conditions. Finally, the performance and advantage of the developed fixed-time control method are manifested by comparative simulations.
{"title":"Fixed-time Trajectory Tracking Control for Marine Surface Vessels based on Fixed-time Disturbance Observer","authors":"Jingqi Zhang, Shuanghe Yu, Yan Yan, Ying Zhao","doi":"10.1109/CACRE50138.2020.9230261","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230261","url":null,"abstract":"This paper proposes a novel fixed-time control scheme for trajectory tracking of marine surface vessels (MSVs). A fixed-time disturbance observer (FDO) is introduced to improve the robustness. Taking advantage of the FDO, a fixed-time adding a power integrator (FAPI) control law is employed to trajectory tracking control design. The proposed scheme can guarantee an MSV track a desired trajectory accurately, and the tracking errors converge to zero in fixed time under disturbances. Meanwhile, note that the convergence time is independent of the initial conditions. Finally, the performance and advantage of the developed fixed-time control method are manifested by comparative simulations.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122811245","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}
Pub Date : 2020-09-01DOI: 10.1109/CACRE50138.2020.9229936
Fengyan ni, Ningzhuang Liu
In the power system, when monitoring various devices and transmission lines, because the transmission lines are generally in the wild, the surrounding weather environment and geographical environment are very complicated. Therefore, during video monitoring and recognition, the collected video images will be Affected by the weather and light, the quality of the collected images is reduced. However, the recognition in the later stage does not consider how to filter out these influences, and it is often difficult to achieve the desired results when performing subsequent image processing such as target recognition and tracking. For ARM+FPGA, DSP+FPGA image processing system, the cost is high, Low resource utilization, it is difficult to use simple FPGA to control the process and complex branch judgment, therefore, this paper designs a real-time enhanced monitoring terminal based on FPGA based on the idea of FPGA-based hardware and software collaborative processing. Complete image acquisition and real-time enhanced preprocessing in the monitoring terminal to improve the ability to accurately identify the transmission line during subsequent processing and achieve accurate identification. Use an FPGA chip as the core of the system, cache the image through SDRAM, use Sopc as the control core, coordinate software and hardware to perform image processing, easy to use hardware implementation (such as filtering, edge detection, etc.) are implemented using Verilog hardware language, Control these image processing modules through Sopc, realize the corresponding image processing function. And the part that is difficult to realize in the hardware, use NiosII in Sopc system to realize.
{"title":"Design of real-time enhanced monitoring terminal based on FPGA","authors":"Fengyan ni, Ningzhuang Liu","doi":"10.1109/CACRE50138.2020.9229936","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9229936","url":null,"abstract":"In the power system, when monitoring various devices and transmission lines, because the transmission lines are generally in the wild, the surrounding weather environment and geographical environment are very complicated. Therefore, during video monitoring and recognition, the collected video images will be Affected by the weather and light, the quality of the collected images is reduced. However, the recognition in the later stage does not consider how to filter out these influences, and it is often difficult to achieve the desired results when performing subsequent image processing such as target recognition and tracking. For ARM+FPGA, DSP+FPGA image processing system, the cost is high, Low resource utilization, it is difficult to use simple FPGA to control the process and complex branch judgment, therefore, this paper designs a real-time enhanced monitoring terminal based on FPGA based on the idea of FPGA-based hardware and software collaborative processing. Complete image acquisition and real-time enhanced preprocessing in the monitoring terminal to improve the ability to accurately identify the transmission line during subsequent processing and achieve accurate identification. Use an FPGA chip as the core of the system, cache the image through SDRAM, use Sopc as the control core, coordinate software and hardware to perform image processing, easy to use hardware implementation (such as filtering, edge detection, etc.) are implemented using Verilog hardware language, Control these image processing modules through Sopc, realize the corresponding image processing function. And the part that is difficult to realize in the hardware, use NiosII in Sopc system to realize.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116398542","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}
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