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Research on Robotized Advance Support and Supporting Time for Deep Fully Mechanized Excavation Roadway
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作者 LI Sanxi QIAO Hongbing XUE Guanghui 《Instrumentation》 2021年第1期61-73,共13页
To keep coal workers away from the hazardous area with frequent accidents such as the roof fall and rib spalling in an underground coalmine,we put forward the solution with robotized self-moving anchor-supporting unit... To keep coal workers away from the hazardous area with frequent accidents such as the roof fall and rib spalling in an underground coalmine,we put forward the solution with robotized self-moving anchor-supporting unit.The existing research shows that the surrounding rock of the roadway has self-stability,and the early or late support is not conducive to the safe and reliable support of the roadway,so there is a problem of support opportunity.In order to study the supporting effect and the optimal supporting time of the above solution,we established the mechanical coupling model of surrounding rock and advance support,and investigated the surrounding rock deformation and advance support pressure distribution under different reserved roof subsidence by using the numerical simulation software FLAC3D.The results show that the deformation of surrounding rock increases and finally tends to a stable level with the increase of pre settlement of roadway roof,and when the pre settlement of roof is between 8-15 mm,the vertical pressure of the top beam of advance support reaches the minimum value,about 0.58 MPa.Based on the above research,we put forward the optimum supporting time in roadway excavation,and summarized the evaluation method based on the mechanical coupling model of surrounding rock-advance support. 展开更多
关键词 Coalmine Safety Robotized Advance Support Optimum supporting Time Deep Fully Mechanized Excavation Roadway Mechanical Coupling Model
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Real-time crash prediction on freeways using data mining and emerging techniques 被引量:4
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作者 Jinming You Junhua Wang Jingqiu Guo 《Journal of Modern Transportation》 2017年第2期116-123,共8页
Recent advances in intelligent transportation system allow traffic safety studies to extend from historic data-based analyses to real-time applications. The study presents a new method to predict crash likelihood with... Recent advances in intelligent transportation system allow traffic safety studies to extend from historic data-based analyses to real-time applications. The study presents a new method to predict crash likelihood with traffic data collected by discrete loop detectors as well as the web-crawl weather data. Matched case-control method and support vector machines (SVMs) technique were employed to identify the risk status. The adaptive synthetic over-sampling technique was applied to solve the imbalanced dataset issues. Random forest technique was applied to select the contributing factors and avoid the over-fitting issues. The results indicate that the SVMs classifier could successfully classify 76.32% of the crashes on the test dataset and 87.52% of the crashes on the overall dataset, which were relatively satisfactory compared with the results of the previous studies. Compared with the SVMs classifier without the data, the SVMs classifier with the web-crawl weather data increased the crash prediction accuracy by 1.32% and decreased the false alarm rate by 1.72%, showing the potential value of the massive web weather data. Mean impact value method was employed to evaluate the variable effects, and the results are identical with the results of most of previous studies. The emerging technique based on the discrete traffic data and web weather data proves to be more applicable on real- time safety management on freeways. 展开更多
关键词 Crash prediction detectors Web-crawl data Real time - Discrete loop Support vector machines
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A Unified Control of Super-capacitor System Based on Bi-directional DC-DC Converter for Power Smoothing in DC Microgrid
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作者 Xialin Li Pengfei Li +5 位作者 Leijiao Ge Xunyang Wang Zhiwang Li Lin Zhu Li Guo Chengshan Wang 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2023年第3期938-949,共12页
To improve the equivalent inertia of DC microgrids(DCMGs),a unified control is proposed for the first time for a bi-directional DC-DC converter based super-capacitor(SC)system,whereby power smoothing and SC terminal v... To improve the equivalent inertia of DC microgrids(DCMGs),a unified control is proposed for the first time for a bi-directional DC-DC converter based super-capacitor(SC)system,whereby power smoothing and SC terminal voltage regulation can be achieved in a DCMG simultaneously.The proposed control displays good plug-and-play features using only local measurements.For quantitative analysis and effective design of the critical parameter of unified control,two indices,equivalent power supporting time and inertia contributed by the unified controlled SC system,are introduced firstly.Then,with a simple but effective reduced-order model of a DCMG,analytical solutions are obtained for the two indices.In addition,a systematic design method is presented for the proposed unified control.Finally,to verify the proposed unified control,a switching model is developed for a typical DCMG in PSCAD/EMTDC,and theoretical analyses are conducted for different operating conditions. 展开更多
关键词 DC microgrid DC-DC converter super-capacitor unified control equivalent power supporting time and inertia power smoothing
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Wife Supports Husband Through Hard Times
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作者 LIU HUI XIAOHONG LIU 《Women of China》 1995年第5期18-18,共1页
IN 1946 I got to know Wei Shuwan, who is now my wife, through a friend. Back then I was a mechanic for Central Aviation in Kunming, Yunnan Province, and Shuwan was working at the Baihong Photo Studio in the same city.... IN 1946 I got to know Wei Shuwan, who is now my wife, through a friend. Back then I was a mechanic for Central Aviation in Kunming, Yunnan Province, and Shuwan was working at the Baihong Photo Studio in the same city. Shuwan was a gentle, kind young woman who was from Fujian Province like myself. We liked each other and got married in April of the same year. In 展开更多
关键词 Wife Supports Husband Through Hard Times
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