Article citationsMore>>
Tu, C. F., Liu, Z. J., Zhang, G., Zhou, L. C., Chen, Y. T., Cheng, N., Gu, J. W., Dong, S. B., Deng, Z. H., Wang, Y., & Tang, L. Q. (2017). Processing Technique and Application of Big Data Oriented to Long-Term Bridge Health Monitoring. Journal of Experimental Mechanics, 32, 652-663.
has been cited by the following article:
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TITLE:
Research on Safety Management of Construction Engineering Personnel under “Big Data + Artificial Intelligence”
AUTHORS:
Xizhe Yi, Jiaye Wu
KEYWORDS:
Management Science, Engineering
JOURNAL NAME:
Open Journal of Business and Management,
Vol.8 No.3,
April
13,
2020
ABSTRACT: Under the background of the information age, traditional engineering
safety management is undergoing a profound change. The introduction of big data
and artificial intelligence technologies in construction project safety
management is becoming increasingly widespread. Based on literature analysis,
combined with artificial intelligence and big data in construction safety
management in the application is still in the primary stage, especially in
applied research personnel safety management rarely literature. A review of the
exploration and application of construction engineering safety management under
the combination of artificial intelligence and big data, the analysis and
summary of the current status and trends of the two technologies in
construction engineering safety management, and the design of Based on
artificial intelligence engineering personnel safety management of large data
systems architecture, enrich and improve construction safety of personnel
management concepts and technical means.
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