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Analysis of Risk Factors of Railway Trespassing Accidents Based on Multinomial Logit Model 6th

Analysis of Risk Factors of Railway Trespassing Accidents Ba...

引用

6th international conference on Electrical engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Wang, Xu Ma, Xiaoping Zhang, Hanqing Chen, Fei State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing100044 China School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China Key Laboratory of Railway Industry of Proactive Safety and Risk Control Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9789819993109

In order to solve the problem of imprecise alarm of foreign objects in railway encroachment, realize foreign object risk stratification and early warning. the main purpose of this paper is to analyze the trespasser factors, environmental factors and track factors associated with the severity of injuries in railway trespassing accidents from the perspective of trespasser, so as to identify features that rail monitoring needed, and propose optimization measures for accident prevention. this paper uses the Multinomial logit model to identify the factors and characteristics of trespasser injury severity based on Federal Railroad Administration accident record data. the pre-accident acts and location are the most important factors influencing the severity of the accident. Driving is the most common acts in trespassing incidents, while lying, standing and walking have a significant relationship with fatality outcomes. Combinations of some different behaviors and orbital locations can lead to polarization of accident risk with a higher risk of death, and it should be pay more attention when monitoring these features. this paper can be used to determine the relative level of risk for of each feature of illegal trespassing accidents and infer the severity of accident casualties, so as to construct an evaluation index system for foreign body characteristics. this paper helps to improve the detection and early warning accuracy of intrusion accidents by considering trespassers’ acts, weather and track scene types in the framework of railway foreign object video detection, which has practical significance. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Railroads

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Prioritized Anytime Dynamic A Path Planning for Multi-ent Vehicles in Heterogeneous Traffic 6

Prioritized Anytime Dynamic A Path Planning for Multi-ent Ve...

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6th international conference on Intelligent Traffic and Transportation, ICITT 2022

作者： Nantabut, Chinnawut Abel, Dirk Institute of Automatic Control RWTH Aachen University Campus Boulevard 30 Aachen52074 Germany

ISBN: (纸本)9781643683843

For a centralized path planning in the multi-Agent path finding (MAPF), especially for road vehicles using traffic rules, a prioritized planning algorithm is one of the key methods that deal with real-Time problems. the time used for planning is limited, especially when a number of agents are present, and a suboptimal solution has to be found. If possible, the previous solution should be reused for the replanning. Anytime Dynamic A∗ (AD*) can both replan the path when the environment is changed dynamically and is able to return a safe, but potentially suboptimal solution in case where a maximum cycle time is exceeded. A prioritized order selection is based on the path length to the goal. To model heterogeneous traffics with vehicles and pedestrians, a combination of the bicycle and pedestrian obstacle reciprocal collision avoidance algorithms (B-ORCA and PORCA) is used to realize a naturalistic interaction among the multi-Agent system and the dynamic environment. the number of agents and of dynamic obstacles is randomly generated and the time used for planning is analyzed in view of the limited time available in the simulations. In this work, the path planning of up to three agents can be executed in real-Time in MATLAB. © 2023 the authors and IOS Press.

关键词： Motion planning

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Obstacle Detection of Unmanned Surface Vessel based on Faster RCNN

Obstacle Detection of Unmanned Surface Vessel based on Faste...

引用

Industrial Cyber-Physical Systems (ICPS)

作者： Jiahe Cai Sheng Du Chengda Lu Bo Xiao Min Wu School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan China Guangzhou Marine Geological Survey Guangzhou China

With the development of unmanned surface vessel in the world today, obstacle avoidance using environmental information is the basis to ensure its high maneuvering performance and safety. However, directly using standard algorithms will lead to missing and wrong identification severely for characteristics of marine obstacles. this paper adds a multi-scale feature extraction layer of dilation convolution and group convolution to Faster Region based Convolutional Neural Network (Faster-RCNN), the baseline model, and changes the classification algorithm to improve its robustness and accuracy. Soft-Non Maximum Suppression (Soft-NMS) is used to enhance the prediction effects further. After improvements, the mean average precision value increases by 3.35%, and the final loss value decreases by 0.20. Given the phenomenon of missing and misidentification in the prediction by the baseline model, the results of our new model show outstanding performance.

关键词： Convolution Predictive models Feature extraction Prediction algorithms Robustness Classification algorithms Safety

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A Review of Research Intrusion Monitoring Technology for Railway Carrier Equipment 6th

A Review of Research Intrusion Monitoring Technology for Rai...

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6th international conference on Electrical engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Cai, Jiali Liu, Xianhui Huang, Rui Huang, Xiangdong Xie, Zhengyu School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China State Key Laboratory of Advanced Rail Autonomous Operation State Beijing Jiaotong University Beijing100044 China Key Lab of Proactive Safety and Risk Control in Railway Operation Beijing100044 China Beijing Research Center of Urban Traffic Information Sensing and Service Technologies Beijing100044 China

ISBN: (纸本)9789819993185

With China’s rail transit operating speed and transport loads continue to improve and the continuous expansion of the railway network scale, railway safety in the human defence, physical defence, technical defence "three in one" security system of the initial establishment of the railway perimeter security put forward higher requirements. Object detection and other detection technologies have received more and more attention, and the accuracy. the accuracy, reliability and robustness of the detection of technical defence means are the pain points and problems that need to be solved in the application of railway security engineering. the article firstly outlines the development history and technical process of railway perimeter intrusion object detection technology. then it describes the research progress of image-based object detection, focusing on the RT-DETR real-time object detection algorithm based on Transformer. After that, the article compares the RT-DETR real-time target detection algorithm with YOLO series and traditional DETR in terms of improving accuracy and speed, and introduces image datasets and performance evaluation metrics. Finally, it analyses the main problems faced by railway perimeter intrusion object detection technology and points out to the future development direction of railway perimeter object detection technology. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： Object detection

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An Experimental Assessment of Predictive Current control Strategies for three-Phase Inverter

An Experimental Assessment of Predictive Current Control Str...

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international conference on Electrical Information and Communication Technology (EICT)

作者： Md. Ayaj Uddin Khan Md. Habibullah Dept. of Electrical and Electronic Engineering Khulna University of Engineering & Technology Khulna Bangladesh

this paper presents an empirical investigation of two current control methods for two-level inverter-fed RL loads: the conventional Finite-control-Set Predictive Current control (FCS-PCC) and a simplified FCS-PCC. the simplified PCC is considered to minimize the computational workload of the conventional PCC without sacrificing its control performance. However, the simplifying mechanism of the simplified PCC is dependent on the load parameters. Hence, an experimental analysis of the controller is required in terms of steady-state current tracking and current total harmonic distortion (thD) under load parameters variation. Experimental results show that both algorithms of PCC are load parameters dependent. Nevertheless, the simplified PCC is more sensitive to the load parameters variation than the conventional PCC.

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Research on Fast Separation Method of Motor Fault Signal Based on Wavelet Entropy 1

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6th European-Alliance-for-Innovation (EAI) international conference on advanced Hybrid Information Processing (ADHIP)

作者： Yin, Jintian Liu, Li Nie, Junfei Peng, Zhihua Chen, Riheng Shaoyang Univ Hunan Prov Key Lab Grids Operat & Control Multi P Shaoyang 422000 Peoples R China Shaoyang Univ Sch Elect Engn Shaoyang 422000 Peoples R China

ISBN: (数字)9783031288678

ISBN: (纸本)9783031288661;9783031288678

the extraction of motor signals by traditional methods will be affected by multi-component signals and non-stationary signals, and the separation effect of motor fault signals is poor. therefore, a fast separation method of motor fault signals based on wavelet entropy is proposed. Obtain the motor fault vibration signal, convert it to the frequency domain for solution, and denoise the motor fault vibration signal through three-layer wavelet packet decomposition. Based on wavelet entropy, the sliding window is set for simulation, and the optimal features are selected for extraction to quantitatively describe the time-frequency and energy distribution of motor fault transient vibration signal. the second-order VKF filter is selected to extract multiple components at the same time, so as to realize the separation of multi-component signals. Experimental results show that this method can effectively separate and extract motor fault signals, and can achieve good results under high noise intensity.

关键词： Wavelet entropy Motor failure Fault signal Rapid separation Signal separation Fault diagnosis

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A Robust control Technique for Pitch control of an Aeropendulum

A Robust Control Technique for Pitch Control of an Aeropendu...

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Robotics, control and Automation engineering (RCAE), international conference on

作者： M. Hassan Tanveer Charles Koduru Rupam Gupta Roy Girish V. Lakhekar Cary Chun Department of Robotics and Mechatronics Engineering Kennesaw State University Marietta GA United States Department of Electronics and Instrumentation Engineering National Institute of Technology Agartala Barjala Jirania Agartala Tripura India Department of Instrumentation Engineering College of Engineering Pune Maharashtra India

Pitch control of an aviation system presents a plethora of control complications, such as nonlinear effects, parameter uncertainties, disturbances, etc. In the face of parametric uncertainties and disturbances, as well as communication limits in an auditory medium, it is difficult to create efficient control algorithms that can accomplish precise path-following tasks and effective resilient control actions. this paper presents the Second Order Sliding Mode control method for regulating the pitch angle in an aero-pendulum mechatronic system. the fundamental purpose of this study is to develop a reliable controller capable of minimising the system error between the regulated signal and the planned signal that corresponds to the pitch angle of the vehicle. By employing the proposed approach, both the prevalence of chattering and the control efficiency can be greatly improved. A comparison is given between the proposed model and the classical technique now in use, such as the classical Sliding Mode controller.

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Research on digital twin technology of large-scale offshore wind power flexible direct transmission system 6

Research on digital twin technology of large-scale offshore ...

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2022 6th international conference on Electrical, Mechanical and Computer engineering, ICEMCE 2022

作者： Wang, Ye Xu, Kai Du, Yunlong Ren, Xuchao Wang, Chenqing State Grid Jiangsu Electric Power Company Jiangsu Nanjing210024 China National Electric Power Dispatching and Control Center Beijing100031 China State Grid Jiangsu Electric Power Company Research Institute Jiangsu Nanjing211103 China

With the rapid development of wind power technology, offshore wind power transmission technology has gradually matured. Combined with the first large-scale offshore wind power flexible DC transmission system in China, this paper builds a digital twin system that is close to the actual system. the article first introduces the origin and definition of digital win technology and gives the five-dimensional model of the digital twin. then, it focuses on the technical realization of the offshore wind power digital twin system, including the five-dimensional model of the offshore wind power digital twin system. the key technologies in the advanced application of the twin system - real-time simulation technology and 3D holographic visual display technology are introduced, and their effects are shown. the realization of the digital twin technology of the large-scale offshore wind power flexible DC transmission system provides more valuable information for the operation, management, scheduling, and decision-making of the offshore wind power flexible direct transmission system. © Published under licence by IOP Publishing Ltd.

关键词： Transmissions

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advanced control of Wind Turbines connected to MMC-MTDC without Offshore DC Breaker

Advanced Control of Wind Turbines connected to MMC-MTDC with...

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China international Electrical and Energy conference (CIEEC)

作者： Yue Wu Yuebin Zhou Shuangfei Yang Yan Xiong Shuohui Miao Lujie Yu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China School of Electrical and Information Engineering Tianjin Univiersity Tianjin China

Multi-terminal high-voltage-direct-current based on modular-multilevel-converter (MMC-MTDC) is a proposing solution for the offshore wind power transmission. this paper investigates the operation of MTDC when the offshore AC breaker and DC switches are used to deal with the DC fault for the offshore side. An advanced control for the offshore wind turbine converters and MMC in the MTDC system, which achieves seamless transition between the grid-following mode and grid-forming mode without switching PLL, is proposed. the effectiveness of the proposed control is validated by PSCAD/EMTDC simulations. the results show that the offshore wind turbine converter and MMC can maintain stable operation after the fault and during the fault recovery.

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Risk Coupling Analysis of Railroad Accident Based on Two-Layer N-K Model 6th

Risk Coupling Analysis of Railroad Accident Based on Two-Lay...

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6th international conference on Electrical engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Li, Jiayin Ma, Xiaoping Wang, Xu Chen, Xiyuan Chen, Fei Wu, Zhaotian State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing100044 China School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China Key Laboratory of Railway Industry of Proactive Safety and Risk Control Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9789819993147

Railroad accident risk analysis is crucial for railroad accident prevention and active safety assurance. In this paper, we adopt coupled risk theory to analyze the traffic safety risk of railroad transportation system, starting from the coupling of four types of main risk factors, namely human, machine, environment and management, and expanding them to secondary sub-factors, establishing a two-layer N-K model and quantifying their coupling degrees. the coupling degrees of primary main factors and secondary sub-factors of railroad accidents are calculated under different coupling modes of single-factor, two-factor and multi-factor respectively. the results show that the coupling degree of railroad transportation safety risk increases with the number of coupling factors;human factors are the main influencing factor and can influence other factors to some extent;the coupling degree of "human–machine" is the largest in the parallel coupling relationship. In addition to the management of personnel, it is also necessary to continuously improve the safety performance of the train itself and reduce the degree of risk of equipment;in the causal coupling relationship, the coupling degree of "locomotive staff-train signal-human management" is the largest. N-K model can provide some theoretical support for the prevention of safety accidents in railroad transportation, and bring practical significance to improve the safety prevention and control of railroad transportation. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： Railroads

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