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Intelligent evaluation method and system of urban engineering quality based on UAV augmented reality
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A technology of engineering quality and evaluation method, applied in the field of intelligent management of urban engineering quality, to achieve the effect of overcoming cost problems
Active Publication Date: 2022-04-29
TERRA DIGITAL CREATING SCI & TECH (BEIJING) CO LTD
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Problems solved by technology
The existing technology has not tried this, so there is an urgent need for a complete evaluation scheme that can use artificial intelligence and big data to realize the temporal and spatial distribution of engineering quality
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Embodiment 1
[0067] Such as figure 1 Shown is a kind of urban engineering quality intelligent evaluation method based on unmanned aerial vehicle augmented reality, it is characterized in that comprising the following steps:
[0068] S1 Acquisition of urban engineering site distribution models, and planning of inspection paths for UAVs equipped with AR devices;
[0069] The S2 UAV follows the planned inspection path and adjusts the flight route to fly to at least one urban engineering site to obtain the current engineering data of the at least one urban engineering site, and process the engineering data to form an inspection image ;
[0070] Establishment of S3 urban engineering quality intelligent evaluation model
[0071] S4 controls the UAV to fly to the urban engineering site to be inspected, obtains the inspection image, substitutes the model established in step S3 to obtain the evaluation and prediction result of the current engineering quality, and forms the urban engineering site ...
Embodiment 2
[0074] The monitoring center controls the UAV to fly at a specified height of 100m along the straight line R every other day, uses the laser radar on the AR device to sense obstacles, and adjusts the flight route to avoid obstacles within a preset distance until such time as figure 2 The R route in the fly to x 2 .
[0075] The servers in the 7 engineering sites send the current engineering data to the UAV, and the AR device processor in the UAV processes the engineering data to form an inspection image. Specifically include
[0076] S2-1 Build engineering data
[0077] The engineering data includes the historical evaluation score his and the current construction progress score pres. The historical evaluation score his refers to the average performance of the project responsible subject in the previous construction, including the historical average quality score hisq and the historical construction progress average score The sum of hisproc; reflects the two considerations ...
Embodiment 3
[0092] S3 specifically includes,
[0093] S3-1 acquires historical inspection images and current inspection images to form an image sample space, which is divided into a training set and a verification set, with a ratio of 2:1; the historical inspection images refer to the current inspection images. Each inspection image obtained before the inspection image;
[0094] S3-2 As shown in Figure 4, seven engineering data and inspection images in the training set are used as input terminals, and GD is used as output terminal, and an artificial intelligence model is used to train an intermediate model for intelligent evaluation of urban engineering quality; the artificial intelligence model is Against network GAN;
[0095] S3-3 Use the verification set to continuously adjust the model parameters, stop the training when the preset conditions are met, and finally obtain the urban engineering quality intelligent evaluation model;
[0096] S4 specifically includes,
[0097] Such as ...
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Abstract
The invention provides an intelligent evaluation method of urban engineering quality based on UAV augmented reality, including: S1 acquisition of urban engineering site distribution model, and UAV patrol inspection path planning with AR device; S2 UAV according to the planning Fly on the inspection path, and form an inspection image according to the received engineering data; S3 establishes an intelligent evaluation model for urban engineering quality; S4 controls the drone to fly to the urban engineering site to be inspected, obtains an inspection image, and substitutes it into the model Obtain the evaluation and prediction results of the current engineering quality, and form the urban engineering quality evaluation distribution results through the urban engineering site distribution model obtained in step S1. The present invention comprehensively evaluates the engineering quality from the real-time acquisition of seven major engineering data. The inspection image can easily identify engineering data types with low scores according to the color, so as to find engineering weak links. UAV AR technology is used to realize the visualization of patrol inspection and the spatial distribution of urban engineering quality evaluation, so as to find the common problems that may exist in the construction of at least one engineering site or the problems caused by regionalization. UAV inspection replaces human inspection, which can overcome the cost problem and reach inspection locations that are difficult for people to reach. Through the acquisition of data, we can know the calculation and accumulation of engineering data on the construction site.
Description
technical field [0001] The invention relates to an intelligent evaluation method for urban engineering quality, in particular to an intelligent evaluation method and system for urban engineering quality based on unmanned aerial vehicle augmented reality, belonging to the field of intelligent management of urban engineering quality Background technique [0002] The construction of a smart city is inseparable from the big data management of the basic settings. The use of data to achieve smart management, especially the comprehensive acquisition of management data for urban basic engineering settings is the basic data requirement for smart management. The second is the visualization of data, so as to intuitively know the implementation status of the project, and guide the management to realize the optimization of the project. [0003] Existing technology solves intelligent management, considering 3D modeling, drone on-site inspection, and augmented reality (AR) of on-site visua...
Claims
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Application Information
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