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8 results on '"Bi, Yangyang"'

1. Survey on Image Panoptic Segmentation Based on Deep Learning

Author

BI Yangyang, ZHENG Yuanfan, SHI Caijuan, ZHANG Kun, LIU Jian

Subjects
image panoptic segmentation, deep learning, feature extraction, sub-task segmentation, sub-task fusion, Electronic computers. Computer science, QA75.5-76.95
Abstract

With the continuous development of deep learning and image segmentation, image panoptic segmentation has become a research hotspot in the field of computer vision, and many image panoptic segmentation methods have been proposed. This paper summarizes the research methods of image panoptic segmentation based on deep learning. Firstly, the research status of image panoptic segmentation at home and abroad is introduced, and the existing image panoptic segmentation methods are classified according to different optimization tasks in the network architecture, mainly including image panoptic segmentation optimized by feature extraction, image panoptic segmentation optimized by sub-task segmentation, image panoptic segmentation optimized by sub-task fusion, and other image panoptic segmentation. Secondly, 5 commonly used datasets, i.e. MS COCO, PASCAL VOC, Cityscapes, ADE20K and Mapillary Vistas, and 2 evaluation criteria, i.e. panoptic quality (PQ) and parsing covering (PC) in image panoptic segmentation are briefly introduced. And then, performance comparison of typical image panoptic segmentation methods has been conducted on different datasets. Thirdly, the application of image panoptic segmentation in medicine, autonomous driving, drones, agriculture, animal husbandry, military and other fields are listed. Finally, the deficiencies and challenges of existing methods in complex scene applications, real-time performance, and conflicts are pointed out, and the potential directions of image panoptic segmentation are discussed, including image panoptic segmentation based on a simple unified framework, real-time high-quality image panoptic segmentation, and image panoptic segmentation in complex application scenarios.

Published
2023
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6. Optimization and utilization of peak-shaving capability for water drive gas storage

Author

Xi Zengqiang, Wenfeng Huang, Tuanhui Liu, Qing Xia, and Bi Yangyang

Subjects
business.industry, Peaking power plant, Environmental science, Process engineering, business
Abstract

To determine the reasonable gas injection and production quantity and to minimize the influence of water invasion on the operation of underground gas storage is one of the key factors to decide whether the water drive gas storage can fully exert its peak shaving ability. At present, gas reservoir engineering method is mainly used in China, which mainly reflects the operation of underground gas storage under the condition of less water invasion at the end of gas production, it cannot really reflect the influence of water invasion on the operation of underground gas storage under the condition of large injection-production volume. Through the numerical simulation and the research of the injection-production performance, it is clear that the main geological factors affecting the reasonable injection-production rate of the gas storage are the pressure of the gas storage, the properties of the reservoir, the distribution of gas and water and the radius of well control. Based on the reservoir changes of pressure, water yield, gas-water ratio, gas-water interface and saturation, and according to the influence of multi-period water invasion on the operation of gas storage, the optimization technology of peak shaving capacity of water drive gas reservoir is established, which successfully guides the optimization of injection-production operation of an underground gas storage in China. The result shows that after 5 cycles of operation, the gas injection displacement effect is successful, the gas production capacity is improved gradually, and the peak shaving capacity is 6.85 X 108m3 in 2019. The conclusion is that the optimization technology of peak shaving capacity is applicable to some extent, which provides theoretical basis and operating experience for the design of injection-production operation of the same type gas storage in China.

Published
2021

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