| The road disasters usually refers to the loss of functionality of the road and itssubsidiary structure under natural and man-made conditions, leading to the road structurecan not play the original function, affecting the normal operation of the highway. Accordingto the actual situation of large range road disasters in seasonal frozen area, the road safetycan reflect by the slope stability, the subgrade stability, the bridge safety and the ice(snow)on the road. With the development of science and technology, real-time monitoringparameters and real-time assessment has important safety significance. The purpose of thisarticle is to estimate the road parameters monitoring and early-warning system and reaserchon the data transmission process.Road parameters monitoring and early-warning system plays an important role inreducing road disaster losses and protecting the personal safety on roads. Road parametersmonitoring and early-warning system has the following features: huge amounts ofmonitoring data, real-time demanding, non-uniform data structure, a large number ofcalculations, is the application of interdisciplinary combination of high-tech fields includingcivil monitoring instruments, geological environmental monitoring, automation technology,modern communications technology and computer network technology etc.In most parts of our country, the natural environment is complex and the weathercondition is changeable. Typhoons, snow, earthquakes and other natural disasters occurfrequently. A variety of geological disasters had a negative impact on the daily lives ofresidents as well as the national economy. A wide range of seasonal frozen area road disasterhas not yet formed a set of fast, efficient, real-time monitoring technology. Monitoringsubgrade settlement, slope landslides, and the ice(snow) on large-scale road fastly,high-precision has become the key issues to protect the safe operation of the road afterfrozen sections, soft-road, mountain high slope sections put into use. Some countermeasureshave been adopted in some areas, but due to the difficulties of monitoring dangerous point inthe large range area and no real-time monitoring and disaster analysis, it is difficult to formthe warning forecast network platform. Sensors and other devices for remote monitoringhave been applied in some areas, but most of them lack accuracy and speed. Therefore, roadhazard monitoring and warning capacity should be strengthened. The traditional road parameters monitoring and early-warning system has the followingdisadvantages: first, monitoring type of disaster is fixed, so that unable to meet the demandfor rapid development path disasters scalability and security assessment scalability. Second,the amount of the road disaster monitoring data is huge, so that the server load is serious andcan’t guarantee the real-time nature of the system. Third, the system is generally based onIPv4protocol, and allocating IPv4addresses to all monitoring points will becomeincreasingly difficult. To solve these problems, the paper relies on the National HighTechnology Research and Development Program ("863"Program) of China named "Theresearch of wide range season frozen road disasters parameter monitoring and identificationof warning system "(2009AA11Z104), and mainly includes the following aspects:1. Road parameter monitoring data acquisition. Monitoring data type and the dataamount is directly related to the important factors for data transmission technology, but alsothe key elements of the warning calculation model. The current monitoring data sourcesinclude meteorological data, geological data, design data, traffic information and on-sitemonitoring data. Because of effective monitoring technology is the basic means of access toa wide range of road hazard parameters accurately, this paper studies the road slope stabilityparameter monitoring data acquisition method, subgrade deformation and the overallstability of parameter monitoring data acquisition method, pavement snow and icemonitoring parameter data acquisition methods and bridges static and dynamic parametersmonitoring data acquisition method.2. The road parameters monitoring data released transmission technology. The roadparameters monitoring data released transmission is the essential part in the entire earlywarning system. In this paper, we used the small world theory to build an IPv6p2pnetwork structure, which supports IPv6protocol in the network layer and supports P2Pnetwork in the application layer. In order to solve the problem of high bandwidthconsumption, the P2P network using the small-world model topology algorithm to quicklyestablish a P2P network, and using multi-center node instead of the server, so that each nodeis a peer-to-peer which can reduce the server load to ensure the fast data transmission andreal-time warning.3. The road parameter monitoring data receiving storage technology. The roadparameter monitoring data receiving storage type directly determines the scalability of theearly warning system. Existing roads disaster monitoring and warning system can not beextended because the fixed format of the data storage and its data analysis calculation function is based on a fixed data format. In order to solve the problem, this paper proposed anew method of monitoring and early-warning information storage based on semi-structureddata, which achieved the storage of monitoring data by using semi-structured data so that canhandle any type of road disasters and all types of monitoring data. Semi-structured data candynamic changes in its structure under the minimal constraints (or unconstrained). Thereforethe data format can be extended freely.4. Road parameters monitoring and early-warning system. According to the actualsituation of large range road disasters in seasonal frozen area, we developed a large rangeroad parameters monitoring and early-warning system. The system consists of four parts,which are slope monitoring system, subgrade monitoring system, bridge monitoring systemand ice(snow) monitoring system. The system can be divided into the evaluation system andrelease system from the use of functions. The running of the early warning system: First ofall, receive monitoring data; and then start the appropriate hazard assessment module,quantitative evaluation based on the criteria of disaster; finally, the evaluation resultspublished by publishing platform. |
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