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Road diagnosis method and system for urban bridges based on digital twin technology

A city and road technology, applied in image data processing, special data processing applications, image analysis, etc., can solve problems such as low work efficiency, and achieve high efficiency, strong visibility, and visualization effects

Active Publication Date: 2021-07-30
TERRA DIGITAL CREATING SCI & TECH (BEIJING) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these technologies all need to fly the drone to the part of interest for image or video acquisition to be substituted into the model to realize the diagnosis of the structural health of each part, and the work efficiency is not high

Method used

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  • Road diagnosis method and system for urban bridges based on digital twin technology
  • Road diagnosis method and system for urban bridges based on digital twin technology
  • Road diagnosis method and system for urban bridges based on digital twin technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] like figure 1 For the drone realistic enhancement diagnosis method for a city road, including the following steps: S1 provides server S, get the establishment of urban geographic coordinate system E, division of road areas; S2 urban semantic model coordinate system I, drone coordinate system f And the establishment of road sign library Q; S3 road diagnostic sensor SENS setting, drone reality enhancement (AR) assembly; S4 road structure health time dynamic model is established; S5 drone flying interested roads are in the region Disease distribution diagnosis of realistic scenes.

Embodiment 2

[0074] The S1 in Example 1 specifically includes a server acquisition urban geographic coordinate system, wherein the urban geographic coordinate system E specifically selection of the standard building substrate is from the south and the west of the X-axis and Y axis, and the vertices of the two are origin O The reference point is established; the road network extraction model is divided into road areas in urban roads.

[0075] The specific road network extraction model includes using an RNN circulating neural network algorithm, such as figure 2 As shown, the road continuous node is generated by the encoder and the decoder, and the two nodes before and after the generation process are generated, and the new node input node generator will continue to generate new nodes, and the new node generated will be continued. This is connected to the road network.

[0076] Specifically, if image 3 As shown, urban gridization processing, for each grid point, to fuse the spinning network D of ...

Embodiment 3

[0083] In Example 1, S3 specifically includes: S3-1 specifically includes, in a preset 20m distance, fixed diagnosis of photonic sound detector Sens on both sides and the road center in the road, and sets one on both sides of the road within the preset 400m distance. Walking the robot, carrying the diagnostic photographic detector by walking robots, fixed photoco detectors and walking robots each have real-time detection of the roads in the area. Using drones with a diagnostic photoco detector is scheduled to detect the roads according to detection, and the recorded data is sent to the server S, and historical data is accumulated. Among them, the robot is passed Image 6 On both sides of the road and the center, walking rails are laid in the respective preset distance zones. Adjacent diagnostic photoco detector scan ranges can cover all roads between each other, and the photocoupless signal can be efficiently identified and select the interval preset distance.

[0084] For the dete...

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Abstract

A method and system for diagnosing urban bridges and roads based on digital twin technology, wherein the method includes the following steps: S1 provides a server, obtains the urban geographic coordinate system, and divides the road area; S2 coordinate system of the urban semantic model and a road index library The establishment of S3 road diagnosis sensor, UAV reality augmentation (AR) assembly; S4 establishment of time dynamic model of road structure health; S5 UAV flying to the area where the road of interest is located to diagnose the disease distribution of the real scene. The method and system provided by the invention make the distribution detection of road structural health problems show strong real-time performance, strong visibility, dynamics, accuracy and high efficiency on the whole.

Description

Technical field [0001] The present invention belongs to the field of building construction structures, involving a road diagnostic method for urban bridges based on digital twin technology, in particular, involving a urban bridge road based on digital twin technologies, and the system of drone reality and system . Background technique [0002] Twin urban intelligence belongs to a digital means of smart urban construction, and its key is to digitally copy the city and the digital intelligent use of digital intelligence to provide corresponding professional technical services. There are foreign scholars divide the intelligent urban development of digital twins into six levels, of which the visual city as a zero level is based. It provides the physical location of the city and visual presentation. The first level belongs to digital shadows, mainly providing online verification Model, to simulate various scenarios, and the second level is diagnosis, providing urban components design ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/73G06T19/00G06F30/13G06F30/27G06N20/00
CPCG06T7/0002G06T19/006G06T2207/10032G06T2207/20081G06T2207/20084G06T2207/30184G06T2207/30204G06T7/75G06N20/00G06F30/13G06F30/27
Inventor 刘俊伟
Owner TERRA DIGITAL CREATING SCI & TECH (BEIJING) CO LTD
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