Research on the Evaluation Method of Construction Measurement Uncertainty Based on Edge Algorithm

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.