Jinglin Xu

University of Science and Technology Beijing

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Co-Authors

Peikang Xin

Shanghai Construction Group (China)

V.M. Schmidt

Schaeffler (Germany)

Natascha Heß-Mohr

Mannheim University of Applied Sciences

Zongqiang Mao

Tsinghua University

Fangqiang Yu

Shanghai Construction Group (China)

Yin Liu

Chinese Academy of Sciences

Zhuang Liu

Nanjing University of Aeronautics and Astronautics

Cooperative Institutions

Shanghai Construction Group (China)

Tsinghua University

Mannheim University of Applied Sciences

Schaeffler (Germany)

Alstom (Switzerland)

Forschungszentrum Jülich

Universidad de La Laguna

University of Bonn

Gesellschaft Fur Mathematik Und Datenverarbeitung

Witten/Herdecke University

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Identification of Dangerous Rural Houses Using Oblique Photogrammetry and Photo Recognition Technology

Yin Liu Fangqiang Yu Jinglin Xu Peikang Xin

Indentify dangerous houses in rural areas isn't very efficient, considering the large workload to visit the rural area, patchy and untimely manual document's registration management. This study first uses UAV oblique photography technology to quickly obtain high-resolution aerial photographic images of villages and reconstruct three-dimensional reality models. Then, based on the YOLOv5 algorithm, the features of dangerous houses in aerial photography images are automatically detected, and the features of dangerous houses are mapped to the real 3D model to accurately locate the dangerous buildings. Finally, a digital management platform for rural dangerous houses is developed to support rural managers in identifying, measuring and tracking dangerous houses. The application results in a village along the coast of southern Fujian province showed that the accuracy rate of the final dangerous house screening rate of this method was 92%, and the coverage rate was 95%, which could greatly improve the efficiency, accuracy and coverage of dangerous house screening and reduce the workload of manual screening; and improve management efficiency through platform-based and visual methods.

Identification

10.1109/prmvia58252.2023.00018

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Citations (0)

Modelling of a PEM Fuel Cell System with Propane ATR Reforming

Fuel Cells (2006)

Zhuang Liu Zongqiang Mao Jinglin Xu Natascha Heß-Mohr V.M. Schmidt

Abstract Proton exchange membrane fuel cells (PEMFCs) are promising power sources not only for electric vehicles, but also for portable and stationary applications. In this paper, a 5 kW PEMFC system, suggested for domestic power applications with propane autothermal reforming, is modelled with PRO/II® from SIMSCI. When the fuel cell is operated at 2 atm, 80 °C, a hydrogen conversion of 0.75 and at an air stoichiometry 3.0, with the energies of the compressor and expander coupled with a 75% adiabatic efficiency, the system efficiency is calculated to be 34.8%. Different operating pressures and temperatures are studied; lower system efficiency is shown at higher pressure, lower temperature, and greater air stoichiometry. The simulation shows a significant drop in system efficiency for a lowered compressor and expander adiabatic efficiency. With an increase in this value from 50% to 85%, the system efficiency increases from 23.1% to 40.6%. The simulation reveals that it is critical to design special compressors and expanders for fuel cells with higher adiabatic efficiencies so that higher system efficiency can be achieved.

Propane

Stoichiometry

10.1002/fuce.200500104

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Citations (7)