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Application of Deep Foundation Pit Construction Technology in Civil Engineering Construction
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作者 Nan Jiang 《Journal of Architectural Research and Development》 2025年第1期46-51,共6页
As one of the commonly used technologies in modern civil engineering,the construction technology is becoming more and more widely used with the continuous growth of building height.In the construction process of highr... As one of the commonly used technologies in modern civil engineering,the construction technology is becoming more and more widely used with the continuous growth of building height.In the construction process of highrise buildings,the deep foundation pit support provides the necessary stability for the foundation structure of the building project,and more effectively guarantees the quality of the project.Through the reasonable supporting structure,the deep foundation pit technology can effectively prevent the risk of soil collapse,foundation pit deformation and other risks,and improve the safety factor of the whole construction project.Especially in the high-rise buildings,the deep foundation pit support technology can consolidate the foundation for the long-term stability of the project,and significantly prolong the service life of the building.The continuous development of deep foundation pit construction technology is the inevitable demand of high-rise building construction,and also provides a powerful help for the development of civil engineering industry.Based on this,this paper focuses on the application of deep foundation pit construction technology in civil engineering construction. 展开更多
关键词 Civil engineering deep foundation pit construction technology APPLICATION
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Dawn of the Blue Economy Era
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《China Report ASEAN》 2025年第11期16-17,共2页
Despite a complex and volatile global economic landscape,China’s marine economy generated a robust output value of 5.1 trillion yuan(US$715.6 billion)in the first half of 2025,marking a 5.8 percent year-on-year growt... Despite a complex and volatile global economic landscape,China’s marine economy generated a robust output value of 5.1 trillion yuan(US$715.6 billion)in the first half of 2025,marking a 5.8 percent year-on-year growth.This growth gained momentum following the designation of deep-sea technology as a key strategic emerging industry in China’s 2025 Government Work Report. 展开更多
关键词 deep sea technology economic growth global economic landscape marine economy
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Key Technology Research on the Efficient Exploitation and Comprehensive Utilization of Resources in the Deep Jinchuan Nickel Deposit 被引量:8
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作者 Zhiqiang Yang 《Engineering》 SCIE EI 2017年第4期559-566,共8页
To understand the resource features and geology in the deep Jinchuan nickel deposit, difficult geological conditions were systematically analyzed, including high stress, fragmentized ore rock, prevalent deformation, d... To understand the resource features and geology in the deep Jinchuan nickel deposit, difficult geological conditions were systematically analyzed, including high stress, fragmentized ore rock, prevalent deformation, difficult tunnel support, complicated rock mechanics, and low mining recovery. An integrated technology package was built for safe, efficient, and continuous mining in a deep, massive, and complex nickel and cobalt mine. This was done by the invention of a large-area continuous mining method with honeycomb drives; the establishment of ground control theory and a technology package for high-stress and fragmented ore rock: and the development of a new type of backfilling cement material, along with a deep backfilling technology that comprises the pipeline transport of high-density slurry with coarse aggregates. In this way, good solutions to existing problems were found to permit the efficient exploitation and comprehensive utilization of the resources in the deep Jinchuan nickel mine. In addition, a technological demonstration in an underground mine was performed using the cemented undercut-and-fill mining method for stressful, frag- mented, and rheological rock. 展开更多
关键词 deep mining Efficient exploitation Comprehensive utilization Key technology
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Application of Attributes Fusion Technology in Prediction of Deep Reservoirs in Paleogene of Bohai Sea
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作者 ZHANG Daxiang YIN Taiju +1 位作者 SUN Shaochuan SHI Qian 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2017年第S1期148-149,共2页
1 Introduction The Paleogene strata(with a depth of more than 2500m)in the Bohai sea is complex(Xu Changgui,2006),the reservoir buried deeply,the reservoir prediction is difficult(LAI Weicheng,XU Changgui,2012),and more
关键词 In DATA Application of Attributes Fusion Technology in Prediction of deep Reservoirs in Paleogene of Bohai Sea RGB
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Design Technology for Bracing of Deep Foundation Pit
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《Electricity》 1997年第4期49-52,共4页
关键词 Design Technology for Bracing of deep Foundation Pit PIT
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An Improved Biometric Fuzzy Signature with Timestamp of Blockchain Technology for Electrical Equipment Maintenance
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作者 Rao Fu Liming Wang +3 位作者 Xuesong Huo Pei Pei Haitao Jiang Zhongxing Fu 《Energy Engineering》 EI 2022年第6期2621-2636,共16页
The power infrastructure of the power system is massive in size and dispersed throughout the system.Therefore,how to protect the information security in the operation and maintenance of power equipment is a difficult ... The power infrastructure of the power system is massive in size and dispersed throughout the system.Therefore,how to protect the information security in the operation and maintenance of power equipment is a difficult problem.This paper proposes an improved time-stamped blockchain technology biometric fuzzy feature for electrical equipment maintenance.Compared with previous blockchain transactions,the time-stamped fuzzy biometric signature proposed in this paper overcomes the difficulty that the key is easy to be stolen by hackers and can protect the security of information during operation and maintenance.Finally,the effectiveness of the proposed method is verified by experiments. 展开更多
关键词 Blockchain technology fault diagnosis of electrical equipment biometric fuzzy signature TIMESTAMP deep learning technology
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CSNet:A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting
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作者 Yaoxi Li Xingcai Wu +4 位作者 Qi Wang Zhixun Pei Kejun Zhao Panfeng Chen Gefei Hao 《Plant Phenomics》 CSCD 2024年第4期995-1009,共15页
Wheat is the most widely grown crop in the world,and its yield is closely related to global food security.The number of ears is important for wheat breeding and yield estimation.Therefore,automated wheat ear counting ... Wheat is the most widely grown crop in the world,and its yield is closely related to global food security.The number of ears is important for wheat breeding and yield estimation.Therefore,automated wheat ear counting techniques are essential for breeding high-yield varieties and increasing grain yield.However,all existing methods require position-level annotation for training,implying that a large amount of labor is required for annotation,limiting the application and development of deep learning technology in the agricultural field.To address this problem,we propose a count-supervised multiscale perceptive wheat counting network(CSNet,count-supervised network),which aims to achieve accurate counting of wheat ears using quantity information.In particular,in the absence of location information,CSNet adopts MLP-Mixer to construct a multiscale perception module with a global receptive field that implements the learning of small target attention maps between wheat ear features.We conduct comparative experiments on a publicly available global wheat head detection dataset,showing that the proposed count-supervised strategy outperforms existing position-supervised methods in terms of mean absolute error(MAE)and root mean square error(RMSE).This superior performance indicates that the proposed approach has a positive impact on improving ear counts and reducing labeling costs,demonstrating its great potential for agricultural counting tasks.The code is available at . 展开更多
关键词 global wheat head detection dataset mean absolute error deep learning technology wheat ear counting multiscale perception root mean square error count supervised network mlp mixer
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