Abstract
With the rapid development of my country’s construction industry, how to control the measurement accuracy of construction engineering has become a research hotspot nowadays. Aiming at the problems of time-consuming, labor-consuming and large error caused by the traditional use of manpower to measure construction projects, this paper proposes a method for evaluating the uncertainty of construction measurement based on edge computing. First, design a construction measurement uncertainty processing and fusion architecture based on edge computing; second, introduce Box-Cox conversion on the basis of the original Zscore data standardization processing, and propose a multi-source data processing method based on generalized power transformation Zscore to achieve various perspectives The unified transformation of measurement; then, the component credibility function is defined to constrain the fusion of uncertain feature attributes in the DS inference process, and a multi-source data fusion model based on conflict-optimized DS inference is constructed to realize the grouping and aggregation of multi-source heterogeneous data; finally, Experimental analysis in a simulation environment verifies the effectiveness of the technology.
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Wang, H. (2022). Research on the Evaluation Method of Construction Measurement Uncertainty Based on Edge Algorithm. In: Tian, Y., Ma, T., Khan, M.K., Sheng, V.S., Pan, Z. (eds) Big Data and Security. ICBDS 2021. Communications in Computer and Information Science, vol 1563. Springer, Singapore. https://doi.org/10.1007/978-981-19-0852-1_38
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DOI: https://doi.org/10.1007/978-981-19-0852-1_38
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