The Research On Remote Supervision For Distributed Rail Monitoring Sensor Network

At present, the research on rail deformation monitoring gradually has got more and more attention from academics and engineering. Based on analysis of requirements and characters of long term rail monitoring, Distributed Sensor Network (DSN) is chosen to realize global monitoring for variation of rail stress. DSN has the abilities of integrating multiply series intelligent sensors, distribution by self organization network topology structure, monitoring of global task by co-operation.In this paper, the design of remote monitoring platform and relative supervision strategies in sensor network system are introduced in detail, which refer to remote control and management of system devices, data monitoring and storage. In order to distributed reliable supervision of rail monitoring system, the research on several problems is conducted, which include difference supervision for nodes, cooperative supervision for nodes, aging control of information transmission, database storage of distributed data, network architecture and network link management.Synthetically analyzing distributed rail monitoring requirements and problems, access server is adopted to manage the network links from gateway (Sink Node) and supervision terminal and ensure information transmission between them. On the basis of synchronous collection and control requirements, supervision terminal proposes grouping strategy to achieve independent or synchronous supervision of multiply nodes in the form of group; The strategies of timeout failure disposal and querying network state regularly are set up to make the control flow work well, which obviously improves the reliability of information transmission; High-efficiency memory management and dynamic allocation mechanism ensure fast storage for distributed data, in particular, physical significance is given to each data record from database by logical identifier, and remains in place under the situation of device replacement, which remarkably advances reliability and stability of distributed data.Finally access server and DSN supervision software based on above-mentioned strategies are finished and applied to railway field experiment. The strategies ensure concurrent control for nodes by different supervision requirement, and under the foundation of unstable equipment, ambient interference and network anomaly, data integrality reaches approximately95%, the whole process automatically is finished without any manual restoration.