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Low-altitude near-real-time building earthquake damage assessment method

A near real-time, architectural technology, applied in instrument, calculation, character and pattern recognition, etc., can solve the problems of inability to reliably grasp the damage of building facades, low accuracy, low efficiency, etc., and achieve the goal of improving prediction accuracy and reliability. Effect

Active Publication Date: 2019-12-17
SHENZHEN UNIV +1
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AI Technical Summary

Problems solved by technology

The current manual assessment method usually takes a lot of time, manpower and material resources, and cannot assess the earthquake damage of a large-scale building in a short period of time, and the efficiency is low
However, the method based on high-altitude remote sensing can only observe the damage of ground buildings from a higher perspective, and cannot reliably grasp the damage on building facades, and its accuracy is low.

Method used

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  • Low-altitude near-real-time building earthquake damage assessment method
  • Low-altitude near-real-time building earthquake damage assessment method
  • Low-altitude near-real-time building earthquake damage assessment method

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Embodiment 1

[0036] In this embodiment, combined with the means of deep learning, building earthquake damage assessment is performed based on a large number of oblique photographic images of buildings acquired by low-altitude drones. This embodiment discloses a low-altitude near-real-time building earthquake damage assessment method, including the following steps:

[0037] 1) Obtain building-related data in the area to be evaluated. Wherein, the building-related data includes pre-earthquake 3D models of buildings in the area to be evaluated, pre-earthquake 2D-GIS (Geographic Information System, geographic information system) data, post-earthquake original aerial photos, and camera parameter data of post-earthquake original aerial photos. The camera parameter data includes the shooting position of the aerial photo, the camera orientation and the camera viewing angle data.

[0038] 2) Use the building 3D model as a location reference to segment the regional building image, and obtain aerial...

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Abstract

The invention provides a low-altitude near-real-time building earthquake damage assessment method. The evaluation method comprises the steps of related data preparation, building image segmentation, earthquake damage evaluation based on a CNN model and the like. The evaluation method is expected to provide reference for rapid evaluation and emergency rescue of earthquake damage of regional buildings. Along with continuous application of the picture segmentation method in an actual earthquake, more and more building damage pictures can be obtained, so that a picture library for training the CNNclassifier is remarkably expanded, and finally the prediction precision and reliability of the CNN classifier are improved.

Description

technical field [0001] The invention relates to the technical field of civil engineering and earthquake engineering, in particular to a building earthquake damage assessment method. Background technique [0002] After the earthquake, in order to assist decision-making and emergency rescue, it is necessary to conduct a rapid assessment of the earthquake damage of the entire region. The current manual assessment method usually requires a lot of time, manpower and material resources, and cannot assess the earthquake damage of a large-scale building in a relatively short period of time, so the efficiency is low. However, the method based on high-altitude remote sensing can only observe the damage of ground buildings from a higher perspective, and cannot reliably grasp the damage on building facades, and its accuracy is low. Therefore, it is urgent to develop a low-altitude rapid building earthquake damage assessment method. Contents of the invention [0003] The purpose of t...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34
CPCG06V20/39G06V10/26
Inventor 熊琛李强胜陆新征
Owner SHENZHEN UNIV
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