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Construction Site Inspection System Based on Panoramic Image Cloud Processing Technology

  • Caihui Wu,
  • Xiuyi Wang,
  • Bin Chen,
  • Xiaolu Deng,
  • Minghua Duan

摘要

With the acceleration of the pace of urban construction, the number and scale of construction projects are gradually expanding, so it is essential to reduce the frequency of accidents at the construction site. Therefore, this study proposes a construction site inspection system based on panoramic image cloud processing technology. First, the panoramic image data of the construction site is collected by the panoramic image technology, and the noise information in the panoramic image is removed after the denoising model is constructed based on the compressed sensing theory. Then, MSR algorithm with adaptive scale is applied to enhance the image information. Finally, select the inspection index of construction site, combine with the impact information processing results, evaluate the safety risk level of construction site, and realize the inspection of construction site. The experimental results show that the maximum SNR of the panoramic image of the construction site obtained by the system is 162 dB, and the inspection results of the construction site are consistent with the actual results, which proves that the inspection effect of the system is better.