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5th International Conference on Information Technology in Geo-Engineering, ICITG 2024

作者： ding, xiaobing Zhao, Junxing School of Civil Engineering and Transportation South China University of Technology Guangdong Guangzhou510641 China Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology South China Institute of Geotechnical Engineering Guangdong Guangzhou China

ISBN: (纸本)9783031765278

A comprehensive understanding of TBM cutter wear is crucial for formulating effective boring plans and determining optimal intervals for cutter replacement. Cutter wear is a complex and non-linear phenomenon influenced by various factors. This study proposes a data-driven model for predicting TBM cutter wear values, incorporating TBM operational parameters, mechanical characteristics, and geological factors. Utilizing data from the Shenzhen Metro Chunfeng Road project, a dataset comprising ten parameters and 6445 data was curated, with the Transformer model employed as the predictive framework. The findings reveal that the Transformer model achieves a mean squared error (MSE) of 0.004, mean absolute error (MAE) of 0.0313, and correlation coefficient (R2) of 0.8544. Comparative analysis with the Long Short-Term Memory (LSTM) baseline model indicates the superior performance of the Transformer model across evaluation metrics. This suggests that the Transformer model exhibits enhanced capabilities in a data-driven context. The ability to predict cutter wear for the subsequent time interval holds significance for guiding construction activities. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Boring

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Identification and precise control of disaster-causing hazards in metro operation and maintenance: A new method for improving metro operation safety based on data mining

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COMPUTERS & INDUSTRIAL ENGINEERING 2025年 201卷

作者： ding, xiaobing Hua, Hu Hu, Yingying Jin, Jiangang Liu, Zhigang Pan, Hanchuan Shi, Gan Shanghai Univ Engn Sci Sch Urban Rail Transit Shanghai 201620 Peoples R China Shanghai Jiao Tong Univ Sch Naval Architecture Ocean & Civil Engn Shanghai 200241 Peoples R China Tongji Univ Coll Transportat Shanghai 201804 Peoples R China

In metro operation, hazard source management is of crucial significance, as any oversight could trigger disasters during the super-networked operation mode. Therefore, figuring out how to precisely identify, prevent, and control hazard sources has become an urgent task. The metro's rapid expansion has led to a sharp rise in the cascading effects of hazard sources. Moreover, due to the insufficient comprehension of the chain-induced disaster evolution mechanisms, metro operation and maintenance safety is confronted with severe challenges. To tackle these issues, we first design a multi-threaded algorithm and storage strategy to create an integrated data lake for hazard sources, and then build an identification model driven by knowledge graph. Next, a dynamic domain pruning data mining model with time stamps is established. By following the time stamp sequence, the coupling mechanism and risk chain's evolution process can be revealed, weighted risk chain network can be constructed. Thirdly, a hierarchical quantitative model for assessing the risk chain disaster level is developed, which enables early warning. Finally, attention is focused on the accurate prevention and control of hazard sources based on the chain disaster degree. Methods for preemptive fault prevention and rapid recovery are explored, thereby enhancing the resilience of the metro operation and maintenance system. This research facilitates the chain-based and precise prevention and control of metro operation and maintenance safety, and offers critical theoretical support and practical decision-making guidance for intelligent metro operations, maintenance, and emergency response.

关键词： Metro operation Enhancing the resilience of urban rail transit Risk prevention and control Hazard identification Risk chain

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Enantioselective and divergent construction of chiral amino alcohols and oxazolidin-2-ones via Ir-f-phamidol-catalyzed dynamic kinetic asymmetric hydrogenation

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Chinese Chemical Letters 2025年第3期36卷 294-298页

作者： Ruixue Liu xiaobing ding Qiwei Lang Gen-Qiang Chen Xumu Zhang Department of Chemistry Medi-Pingshan and Shenzhen Grubbs InstituteSouthern University of Science and TechnologyShenzhen 518000China Academy for Advanced Interdisciplinary Studies Southern University of Science and TechnologyShenzhen 518000China Chemistry and Chemical Engineering Guangdong Laboratory Shantou 515031China

The dynamic kinetic resolution(DKR)process remains a highly efficacious approach for constructing chiral amino alcohols via the catalytic asymmetric hydrogenation ofα-amino *** report herein a highly efficient and enantioselective anti-selective dynamic kinetic asymmetric hydrogenation ofα-amino ketones catalyzed by Ir-(S)-f-phamidol system,providing various chiral amino alcohols and chiral oxazolidin-2-ones divergently with high diastereo-and enantioselectivity(up to 99%yield,up to 99%ee and up to 99:1 dr).In addition,the reaction could be performed on the gram-scale,and the resulting chiral amino alcohols are key intermediates of norephedrine and metaraminol.

关键词： Asymmetric hydrogenation α-Amino ketone f-Phamidol Iridium-catalysed Divergent synthesis

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移动激光扫描在地铁隧道纵断面测量中的应用

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城市勘测 2025年第2期 150-154页

作者：黎浩贤丁孝兵陆庆虾佛山市测绘地理信息研究院有限公司广东佛山528000

地铁隧道规划验收测量的重要一环是获取隧道纵断面数据。为了提高测量效率,降低外业工作强度,创新性地引入移动三维激光扫描测量系统。提出在获取的三维点云的基础上,通过数据切片、椭圆拟合以及高程提取等方法形成隧道纵断面成果。并... 详细信息

地铁隧道规划验收测量的重要一环是获取隧道纵断面数据。为了提高测量效率,降低外业工作强度,创新性地引入移动三维激光扫描测量系统。提出在获取的三维点云的基础上,通过数据切片、椭圆拟合以及高程提取等方法形成隧道纵断面成果。并结合某地铁工程项目开展实验,与人工检测数据作对比检查数据精度。结果表明该方法获取的纵断面数据能满足规划验收的精度要求。

关键词：移动三维激光扫描隧道中轴线纵断面规划验收

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The passenger flow status identification based on image and WiFi detection for urban rail transit stations

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JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2019年 58卷 119-129页

作者： ding, xiaobing Liu, Zhigang Xu, Haibo Shanghai Univ Engn Sci Sch Urban Rail Transportat Shanghai Peoples R China South China Univ Technol Sch Automat Sci & Engn Guangzhou Guangdong Peoples R China

During the peak hours, the concentration of passenger flow is relatively high for some busy subway lines, if the measures can't be taken in time, more serious accidents may happen, which will influence the social image of the subway. At present, the passenger flow of the key stations is judged mainly by the experience of the staffs, and then the corresponding measures are taken, the errors may be large, and the relevant technical research is urgently needed. First, a data collection device called "the elf of passenger flow-collecting", which integrates high definition camera image acquisition equipment and WIFI probe technology was set up. It can be used to collect the original passenger flow data of congestion points of subway stations. Second, a convolution neural network passenger flow identification algorithm based on deep learning is designed, which is used to estimate the P-0 of stations. Third, because of the error in the video image recognition algorithm, the WIFI probe data acquisition scheme is designed, and the SQL preprocessing assembly for WIFI data processing is established. The noise of WIFI probe is preprocessed, and the flow rate of P-5 based on WIFI probe is obtained. The difference between P-0 and P-5 is defined, and the degree of the difference between P-0 and P-5 is calculated, so the final passenger flow P(6 )can be obtained. Finally, the Songjiang University Hall Station of Shanghai Metro line 9 was taken as an experimental analysis object, the high definition camera and WIFI probe are set up on the spot, the passenger flow video data and the WIFI data are collected synchronously, so the real-time passenger flow in the station's internal position is estimated, and the accuracy is corrected, meanwhile the passenger flow early warning of the station position is obtained. An emergency response plan based on passenger flow early warning level is proposed, and the flow chart of passenger flow density inside Songjiang University hall station is draw

关键词： Rail transit Safety of stations Passenger flow identification Passengers' limiter of station Emergency warning

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The safety management of urban rail transit based on operation fault log

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SAFETY SCIENCE 2017年 94卷 10-16页

作者： ding, xiaobing Yang, Xuechen Hu, Hua Liu, Zhigang Shanghai Univ Engn Sci Sch Urban Rail Transportat Shanghai 201620 Peoples R China

With the rapid development of China's rail transit, the safety of Metro has roused the society's concern more and more widespread. So deeply mining the massive dispatching log data is of great significance to the safety management of Metro operation. For the purposes of risk early-warning and promoting the safety management level of Metro, a dispatching fault log management and analysis database system (DFLMIS) is designed, which contains almost all kinds of accidents that have occurred in the operation of Metro. Taking the compatibility and safety into consideration, the Visual studio 2010 and SQL-sever 2005 are used to develop the DFLMIS. First, changing operation fault log is regarded as a state machine, which describes the data from three dimensions: time, value of information, frequency, and forms the operation scheduling database with data management as the visual angle. Second, the probability space cut algorithm is presented for pruning strategy of probability space, which is suitable for high frequent update of the environment of grid technology as index structure. Finally, the procedures are demonstrated to how DFLMIS can be used to early-warn and identify the risk sources. The research and design of DFLMIS would be of great help to the Metro operators to identify the risk and promote the safety management level. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Safety management Metro safety Operation fault log Data mining Database technology

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Intelligent planning and arrangement of urban rail transit equipment resource occupation under maintenance mode

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021年第3期41卷 4651-4659页

作者： ding, xiaobing Yang, Kaihe Hu, Hua Liu, Zhigang Shanghai Univ Engn Sci Sch Urban Railway Transportat Shanghai 201620 Peoples R China Shanghai Jiao Tong Univ Sch Marine & Architectural Engn Shanghai Peoples R China

There is a close relationship between the operation safety and the application of training equipment. If the relationship is not handled well, it will lead to serious problems, even the conflicts. So designing training equipment management information system is extremely urgent. First, the main training categories are carded, such as drivers training, construction and maintenance, daily safety management, canteen safety, etc., and the basic flow chart of the 4 types of training are drawn;Second, the training equipment management database Train_Database is constructed based on training process, equipment involved, trainers, contingency plans of the 4 kinds of raw data, which lay the foundation for the follow-up of the management information system design and development;Third, the training equipment declaration and management system is developed, which is called Training_Equipment_MS, and the main modules are: equipment resource information management module, equipment declaration module, equipment audit module, safety check form filling module, equipment declaration results publicity module, etc. Finally, the functions of each module are shown in details. It has good practical guidance to the application and operation of rail transit, which can reduce accidents and hidden danger in the course of training.

关键词： Rail transit training safety management of equipment resource declaration and audit design and development of system

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The forecast algorithm of stranded passenger flow based on the angle cost of urban rail line

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Journal of Computational and Theoretical Nanoscience 2016年第9期13卷 5724-5730页

作者： ding, xiaobing Liu, Zhigang Chen, Wenjie School of Urban Rail Transportation Shanghai University of Engineering Science Shanghai201620 China

Time-based forecast for urban-suburb rail transit station passenger flow relates to the adjustment of operation plan, selection of passenger for travel model, estimate of travel time etc., especially is significant for optimizing operation scheme of urban-suburb line under express-local mode. Firstly the paper introduced the angle cost travel mode to analyze the angle cost formed by passenger's travel by public bus and metro line, established the angle cost model Anglecostkm, nand calculated passenger loss rate VPn, and thence determined the travel model selection preference. Supported by the passenger flow data acquired by entry gate, a time-based station passenger flow distribution forecast method was proposed. Secondly, the paper analyzed the interactive law of passenger flow between station passenger and actual passenger load in passing train, proposed the dynamic exchange model for impacts of station passenger flow and train passenger load, and analyzed ad studied the solution algorithm for such model. Finally, the paper adopted a suburb line as the living sample to make calculation, where the forecast result could provide reference for the adjustment of rail transit operation plan and supplement of passenger flow forecast and guidance model. Copyright © 2016 American Scientific Publishers All rights reserved.

关键词： Costs

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Subway Tunnel Disease Associations Mining Based on Fault Tree Analysis Algorithm

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MATHEMATICAL PROBLEMS IN ENGINEERING 2017年第1期2017卷 1-7页

作者： ding, xiaobing Huang, Qiuyu Zhu, Haiyan Hu, Hua Liu, Zhigang Shanghai Univ Engn Sci Sch Urban Rail Transportat Shanghai 201620 Peoples R China

Monitoring and control of subway tunnel diseases throughout operation determine whether the operation of the subway is safe or not. In order to ensure operation safety, in-depth analysis of tunnel disease risks must be conducted. We constructed a fault tree based on tunnel diseases of Shanghai Subway at first. Using the subway tunnel maintenance work data, we calculated the probability of occurrence of elementary events of the fault tree, conducted quantitative calculation and analysis on the tunnel diseases, and found major diseases of the tunnels and their causes in light of the calculation results. Then, indicated by the precise fault tree analysis (FTA) we conducted, common tunnel diseases mainly include large passenger flow, shortage of maintenance personnel, maintenance error, personal carelessness, hot weather, and poor lighting. Analysis was conducted on the probability importance of elementary events of the tunnel diseases as well. In the end, we proposed the tunnel disease association rule mining algorithm based on the support degree. Via the calculation of association among major diseases, we explored the elaborate association mechanism of the diseases. The in-depth mining on the association mechanism can provide theoretical support and decision support for prevention and comprehensive control of the tunnel diseases and lay a solid foundation of practice guidance for subway operation safety of megacities.

关键词： Decision support systems

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The Optimization of Passengers' Travel Time under Express-Slow Mode Based on Suburban Line

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MATHEMATICAL PROBLEMS IN ENGINEERING 2016年第1期2016卷 1-7页

作者： ding, xiaobing Yang, Xuechen Hu, Hua Liu, Zhigang Pan, Hanchuan Shanghai Univ Engn Sci Coll Urban Rail Transportat Shanghai 201620 Peoples R China

Thesuburban line connects the suburbs and the city centre;it is of huge advantage to attempt the express-slowmode. Thepassengers' average travel time is the key factor to reflect the level of rail transport services, especially under the express-slow mode. So it is important to study the passengers' average travel time under express-slow, which can get benefit on the optimization of operation scheme. First analyze the main factor that affects passengers' travel time and then mine the dynamic interactive relationship among the factors. Second, a new passengers' travel time evolution algorithm is proposed after studying the stop schedule and the proportion of express/slow train, and then membrane computing theory algorithm is introduced to solve the model. Finally, Shanghai Metro Line 22 is set as an example to apply the optimization model to calculate the total passengers' travel time;the result shows that the total average travel time under the express-slow mode can save 1 minute and 38 seconds;the social influence and value of it are very huge. The proposed calculation model is of great help for the decision of stop schedule and provides theoretical and methodological support to determine the proportion of express/slow trains, improves the service level, and enriches and complements the rail transit operation scheme optimization theory system.

关键词： TRAVEL time (Traffic engineering) RAILROADS MATHEMATICAL optimization EVOLUTION equations MATHEMATICAL analysis

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