Asphalt concrete detection system and method based on fog generative adversarial neural network

A technology of asphalt concrete and neural network, applied in biological neural network model, neural learning method, neural architecture, etc., can solve the problems of health threats to workers, high carcinogenicity of asphalt smoke, low detection efficiency, etc., and achieve good real-time performance , high degree of automation, and the effect of reducing economic losses

Active Publication Date: 2022-08-09
NANJING FORESTRY UNIV
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Problems solved by technology

At present, the method of judging the quality of asphalt concrete is to manually observe the appearance of asphalt concrete at the position of the receiving channel of the finished material outlet, which has problems such as hysteresis and low detection efficiency. serious threat

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  • Asphalt concrete detection system and method based on fog generative adversarial neural network
  • Asphalt concrete detection system and method based on fog generative adversarial neural network
  • Asphalt concrete detection system and method based on fog generative adversarial neural network

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Embodiment Construction

[0042] The present invention will be further clarified below in conjunction with the specific embodiments. The embodiments are implemented on the premise of the technical solutions of the present invention. It should be understood that these embodiments are only used to illustrate the present invention and not to limit the scope of the present invention.

[0043] The asphalt concrete detection system and method based on fog generation confrontation neural network of the present invention is the application of machine vision and neural network technology in defect detection, especially in online detection and classification of asphalt concrete appearance. like figure 1 and 3 As shown in the figure, the asphalt concrete detection system based on the fog generation confrontation neural network includes: a computer system 1, an image acquisition device 2, a control system 3 and a sliding rail transmission device 4. The image acquisition device 2 is set on the sliding rail transmis...

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Abstract

The invention discloses an asphalt concrete detection system and method based on fog generation confrontation neural network, comprising a computer system, an image acquisition device, etc. The image acquisition device acquires an image of asphalt concrete after mixing, and transmits the image to a computer system to realize online detection Asphalt concrete quality; the present invention combines machine vision and neural network algorithm, performs de-smog and de-fuzzification operations on asphalt images through fog generation confrontation neural network model, and then uses convolutional neural network to detect the uniformity of the appearance of asphalt concrete, and judges the quality of asphalt concrete. Whether there is white material in asphalt concrete, whether there is agglomeration phenomenon and serious segregation phenomenon, calculate in real time whether the quality of asphalt concrete is qualified. The invention has high degree of automation, high accuracy, good real-time performance and high efficiency, can form a complete monitoring system with the mixing station system, can timely discover the quality problems existing in the mixing of asphalt concrete, effectively reduce economic losses and save energy time.

Description

technical field [0001] The invention belongs to the technical field of machine vision defect detection, and in particular relates to an asphalt concrete detection system and method based on a fog generation confrontation neural network. Background technique [0002] Asphalt pavement is more durable than traditional cement pavement, has strong water permeability and high wear resistance, and is the first choice for pavement construction. With the improvement of the technical level in urban road construction, the quality requirements for asphalt concrete are getting higher and higher. The mixing quality of asphalt concrete materials is a key step in the construction process. If the mixing quality is not up to standard, it will directly affect the asphalt concrete structure. adhesion, stability and safety. In the mixing process of asphalt concrete, it is necessary to ensure uniform mixing, no whitening, no agglomeration or serious segregation. The current method for judging t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/956G01N21/01G06T7/00G06T5/00G06N3/04G06N3/08
CPCG01N21/956G01N21/01G06T7/0004G06T5/003G06T5/007G06N3/084G01N2021/0112G06T2207/20081G06T2207/20084G06T2207/30132G06N3/045
Inventor 倪超程磊李振业过奕任陈玉龙苏瀚东
Owner NANJING FORESTRY UNIV
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