Combined cofferdam health prediction system under complex geological conditions

Abstract

The invention discloses a joint cofferdam health prediction system under a complex geological condition. The system comprises a monitoring module, a data processing module, a safety state assessment module, an early warning alarm module and a simulation display module. The monitoring module comprises a wireless sensor network, a strain sensor assembly and a displacement sensor. The data processing module comprises an acquisition center station, a signal conditioner and a signal transmission device. The safety state assessment module comprises a microprocessor. The early warning alarm module comprises an analysis processor and an alarm. The simulation display module comprises a three-dimensional GIS simulation platform. The system realizes real-time monitoring on health of a joint cofferdam structure under the complex geological condition, and can predict the residual life of the joint cofferdam structure under the complex geological condition according to the monitoring data, thereby reaching an unprecedented level on the aspect of full-coverage all-weather monitoring.

Description

technical field [0001] The invention relates to the field of health monitoring of cofferdam structures, in particular to a combined cofferdam health prediction system under complex geological conditions. Background technique [0002] In the combined cofferdam structure in the related art, concrete anti-slide pile sections and locking steel pipe pile sections are arranged in sections in the entire surrounding weir, and the front concrete anti-slide piles and the tail concrete anti-slide piles in the concrete anti-slide pile section The anti-sliding piles are respectively connected with the tail lock steel pipe pile and the front lock steel pipe pile in the lock steel pipe pile section to form a closed whole surrounding weir. [0003] The combined cofferdam structure under the above complex geological conditions is generally monitored by monitoring sensors, but most of the sensors cannot predict the remaining life of the combined cofferdam structure based on the monitored data...

AI Technical Summary

Problems solved by technology

[0003] The combined cofferdam structure under the above complex geological conditions is generally monitored by monitoring sensors, but most of the sensors cannot predict the remaining life of the combined cofferdam structure based on the monitored data

This defect causes the maintenance personnel of the combined cofferdam structure under complex geological conditions to judge the data fed back by the sensor based on their own relevant experience, which reduces the timeliness of monitoring the combined cofferdam structure under complex geological conditions, and also greatly increases The workload of maintenance personnel of combined cofferdam structure under complex geological conditions

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