ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume X-3/W2-2022
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3/W2-2022, 71–77, 2022
https://doi.org/10.5194/isprs-annals-X-3-W2-2022-71-2022
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3/W2-2022, 71–77, 2022
https://doi.org/10.5194/isprs-annals-X-3-W2-2022-71-2022
 
27 Oct 2022
27 Oct 2022

RESEARCH ON EMERGENCY RESPONSE SYSTEM OF DANGEROUS GOODS TRANSPORTATION VEHICLES

Y. Yang, M. Zhong, and H. Qi Y. Yang et al.
  • Faculty of Geoscience and Environmental Engineering, Southwest Jiaotong University (SWJTU), 611756 Chengdu,China

Keywords: Dangerous goods transport vehicle, Urban public security, Target detection and tracking, Spatial analysis, Decision support, Emergency response system

Abstract. Due to the flammable, explosive, corrosive, radioactive and other characteristics of dangerous goods, if a traffic accident or leakage accident occurs during transportation, it will seriously endanger public safety and the safety of people's lives and property. It is of great significance for urban safety and stability to establish a risk early warning mechanism, ensure the safe transportation of dangerous goods, and formulate emergency rescue measures. In view of the problems that may occur during the transportation of dangerous goods, such as weak supervision, low efficiency in obtaining accident information, and difficulty in emergency treatment, this paper constructed a comprehensive perception and collaborative integration of urban emergency response system by integrating vehicle target intelligent monitoring platform and decision support platform. Under the support of target detection and tracking technology, PyQt5 is used to build an intelligent vehicle target monitoring platform based on satellite video data, which realizes the real-time tracking, monitoring and early warning functions for dangerous goods transport vehicles, and can quickly complete the location of emergencies and the statistics of environmental road information after an accident. With the support of database technology and ArcGIS Engine embedded component library, a decision support platform integrating statistics and spatial analysis is constructed. GIS technology is used to realize the spatial analysis of emergency points and basic information management functions. At the same time, the platform is based on the two basic starting points of fast response to emergency events and high scheduling efficiency, which realizes the rapid determination of the accident impact area and the planning of emergency rescue routes. Taking Chengdu as an example, the emergency response system constructed in this paper can monitor dangerous goods transport vehicles in the urban area in real time, and formulate emergency response measures in seconds. The system is conducive to reducing the damage and loss caused by emergencies and improving the informatization level of emergency related departments.