Intelligent optical-fiber inhaul-cable damping support system

Abstract

The invention relates to an intelligent optical-fiber inhaul-cable damping support system. The intelligent optical-fiber inhaul-cable damping support system comprises an intelligent inhaul-cable damping support and a risk-decision cloud management and control system. The risk-decision cloud management and control system comprises a data demodulator, a wireless data transmitter, an internet cloud and a risk-decision-cloud-management-and-control-system client terminal. A fiber bragg grating strain sensor is internally arranged on the intelligent inhaul-cable damping support, an optical fiber sensor is connected with the data demodulator through optical fibers, the wireless data transmitter transmits data collected by the data demodulator to the internet cloud, and a user can look up the operation condition of the support in real time only by logging in the risk-decision-cloud-management-and-control-system client terminal. By means of the intelligent optical-fiber inhaul-cable damping support system, monitoring of the load bearing condition of the bridge support under the normal operation condition is achieved, and the overload condition of a bridge is early warned; when the disaster effect occurs, shearing force of the support can be obtained by monitoring cable force of inhaul cables in the support, the earthquake response subjected by the structure can be determined through calculating accordingly, and rapid assessment and repairing of the state of a bridge after an earthquake are convenient.

Description

technical field [0001] The invention belongs to the technical fields of civil engineering and earthquake engineering, and in particular relates to a bearing which is suitable for the "Internet +" era, performs optical fiber sensing based on bearing strain, and can be used for normal operation of bridges and under two working conditions of disaster action. Intelligent fiber optic cable shock-absorbing support system for real-time monitoring of strain and risk decision-making. Background technique [0002] In the past ten years, due to the understanding of the aging and functional degradation of the bridge structure, and also to avoid the sudden damage of the bridge structure, the field of bridge health monitoring has developed rapidly, mainly through various important performance indicators for the structure. Sophisticated monitoring is performed to assess structural safety. In general, the development situation of bridge health monitoring is gratifying, but there are still ...

AI Technical Summary

Problems solved by technology

[0004] However, most of the current smart bearings or bearings in the monitoring system are based on ordinary bearings for secondary research and development, and ordinary bearings are generally unable to perform force measurements under disasters (such as earthquakes), especially for shear forces. measurement; secondly, the monitoring result data cannot be reacted and analyzed in the first time and the risk assessment result can be obtained, even if a risk occurs, there is no timely early warning to facilitate the staff to take follow-up actions

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