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  • 【焦點熱聞】WTC2023 | 成果發(fā)布(四)公路橋梁建養(yǎng)全生命周期數(shù)字化檢測技術(shù)

    2023-06-11 22:39:40 來源: 世界交通運輸大會WTC

湖北交通投資集團有限公司

發(fā)布名稱

The name of the publication


(資料圖片)

公路橋梁建養(yǎng)全生命周期數(shù)字化檢測技術(shù)

Life Cycle Digital Test Technology for highway bridge construction and maintenance

發(fā)布時間

Release Time

2023 年 6 月 16 日 08:50 - 09:20

Jun.16,2023,08:50 - 09:20

發(fā)布地點

Release Place

成果發(fā)布區(qū)

Achievement Release Area

發(fā)布議程

Release Agenda

08:50

公路水運試驗檢測大數(shù)據(jù)平臺

Big Data Platform for Highway & Waterway Engineering Testing and Inspection

09:00

橋梁荷載試驗 AI 可視化指揮調(diào)度系統(tǒng)

AI visual command and dispatch system for bridge load test

09:05

基于光柵陣列的橋梁健康監(jiān)測技術(shù)

Bridge health monitoring technology based on grating array

09:12

公路橋梁大數(shù)據(jù)與智能決策系統(tǒng)

Big Data of Highway Bridge and Intelligent Decision-making System

主要內(nèi)容和創(chuàng)新點

Main Contents And Innovations

數(shù)字驅(qū)動,研用融合。湖北交投智能檢測公司聚焦橋梁建養(yǎng)生命周期,形成系列創(chuàng)新成果。建設(shè)期,公路水運試驗檢測大數(shù)據(jù)平臺扼守原材料“進口關(guān)”,橋梁荷載試驗 AI 可視化指揮調(diào)度系統(tǒng)讓大型復(fù)雜橋梁成橋荷載試驗精準(zhǔn)易控。運營期,基于光柵陣列的橋梁健康監(jiān)測技術(shù)實現(xiàn)橋梁結(jié)構(gòu)全時全域全天候感知,公路橋梁大數(shù)據(jù)與智能決策系統(tǒng)多源融合數(shù)據(jù),實現(xiàn)病害診斷和養(yǎng)護決策智能化和實效化,有效推進橋梁管養(yǎng)進步。

Digital-driven, research and application Integration. Hubei Jiaotou Intelligent Testing Co., Ltd. focuses on the life cycle of bridge construction and maintenance, and has produced a series of innovative results. During the construction period, the incoming raw materials are strictly controlled and checked by the Big Data Platform for Highway & waterway Engineering Testing and Inspection, and the AI visual command and dispatch system of bridge load test makes the load test of large and complex bridges accurate and easy to control. During the operation period, the Bridge health monitoring technology based on raster array helps realization of the all-time all-area and all-weather sensing of bridge structure. Through the Big Data of Highway Bridge and Intelligent Decision-making System, we can collect and analyze multi-source data to realize the automatic and effective diagnosis of problems and maintenance decisions, effectively advancing the bridge maintenance.

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