Abstract
In accordance with the requirements of intelligent and scientific maintenance and repair for rail transit, the on-line monitoring and intelligent assessment technologies for infrastructure safety as well as vibration and noise indexes are studied. In connection with the line status of the Shanghai rail transit network, typical line sections are selected to lay out the online status monitoring equipment so as to track health and safety indexes of rails and real-time noise and vibration levels. By means of online real-time data collection and synchronous analysis technology, the Shanghai rail transit online monitoring system for track safety status and its vibration and noise takes shape, thereby achieving real-time monitoring for on-site vibration and noise as well as safety status, and providing assistant decision-making reports in connection with relevant index systems and in accordance with relevant time periods.
Highlights
While the urban rail transit serves passengers and facilitates their trips, the equipment and facilities in operation are facing the pressure of complex environmental conditions and increasing maintenance workloads
Shanghai Metro actively responds to the requirements of the Outline for Building a Strong Country of Transportation1 and the Shanghai Municipal Thirteenth Five-Year Plan for Promoting the Construction of Smart Cities
The three major sectors of construction, operation and maintenance have started the construction of intelligent metro
Summary
While the urban rail transit serves passengers and facilitates their trips, the equipment and facilities in operation are facing the pressure of complex environmental conditions and increasing maintenance workloads. The refined and intelligent operation and maintenance of infrastructure and the construction of intelligent public works are imperative These are the important parts of the current construction of Shanghai intelligent metro. In order to understand their conditions and their long-term variation trends, multidimensional data must be accumulated and correlated in connection with periodic detection and intelligent monitoring systems before the deduction for vibration and noise data related to tracks and the prediction regarding the maintenance and repair of track structures are implemented. Under the premise of ensuring safety and reliability, intelligent means and intelligent analyses must be used to form reliable and quantitative correlation and integration based on track structure conditions and vibration and noise levels, thereby effectuating differentiated predictions, operation and maintenance related to vibration and noise levels under different line conditions, and improving the quality of riding for passengers as well as the quality of living environments alongside metro lines
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