Early warning service management system based on remote expert service

Abstract

The invention relates to an early warning service management system based on remote expert service. In the system, sensors based on hybrid automatic repeat request (ARQ) technology collect the grouped data of a bridge; the machine to machine (M2M) technology is adopted to monitor the information between the intelligent sensor devices, the monitoring information is transmitted remotely in a wireless digital manner; a terminal collector performs bidirectional data transmission on the monitoring information through a terminal remote transport protocol and an intelligent network platform, the data collected by the terminal collector are compared with the stress simulation database information of the bridge design and off-design small probability state finite element computation structure established by an expert service system, the comparison result is used for evaluating and processing; early warning is performed according to the comparison and evaluation result of the condition and monitoring information of the bridge; and when the monitoring data are abnormal or the warning level is higher, the system automatically sends a message to an expert and the expert can give corresponding handling advices and measures timely, thus the timely and dynamic management of information can be realized.

Description

technical field [0001] The invention relates to the field of traffic management, in particular to an early warning service management system based on remote expert service mainly for the monitoring of bridges on roads, seas and rivers. Background technique [0002] With the advancement of science and technology and the development of transportation, bridges play a pivotal role in the national economy and social life. Therefore, the safety, reliability, durability and applicability of bridges are increasingly concerned and valued. Too advanced design, immature materials and construction technology, serious lag in design, construction, management, etc., have caused a large number of bridges to have congenital structural defects; Different degrees of damage and deterioration will occur far before the design life is reached, shortening the life of the bridge. Bridge crossing accidents have occurred frequently in recent years. The existing bridge health monitoring system is on...

AI Technical Summary

Problems solved by technology

[0003] At present, the monitoring bridge system is mainly aimed at special super-large bridges, suspension and cable-stayed bridges; most of them have the following deficiencies: high construction cost, high operating cost, poor system versatility, high sensor failure rate, high maintenance cost; data storage capacity Large, poor analysis ability, low utilization rate; only real-time monitoring of bridges, low management function; no comprehensive analysis of bridges under various operating conditions; due to insufficient understanding of the nature of things, quantitative management has not been realized. The conclusions are not clear; the software architecture and ideas are not advanced enough; only a single bridge is designed, and the bridge CNC center management has not been realized

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