Open AccessHighway Bridge Test Detection Technology and Application Method Based on Big Data
Author(s) -
Qunjie Huang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/4/042046
Subject(s) - bridge (graph theory) , transport engineering , highway system , big data , highway engineering , test data , computer science , test (biology) , engineering , construction engineering , civil engineering , data mining , medicine , paleontology , biology , programming language
With the rapid development of transportation, highway bridges as a transportation hub have played an important role and become the link of economic development in the region. In recent decades, my country has built many types of highway bridges. During the construction and operation of these bridges on highways, many inspection activities are required to ensure the quality of construction and operational safety. This article mainly introduces the highway bridge test detection technology and various application methods based on big data. This paper uses big data to detect the dynamics of the highway bridge structure and establish a load test model. The model is solved by the energy-releasing method to strengthen the rigid structure of the highway bridge, evaluate the road condition, and use historical data to revise the model to improve the accuracy of the highway bridge load. The experimental results in this paper show that the highway bridge detection technology based on big data reduces accidents by 23%, and the test and evaluation results under big data show that the performance of highway bridges is excellent and meets the design.