Design Of Wireless Sensor Network In Railway Pressure Monitoring System

The construction of our railway system has made a great progress in recent years, and in order toensure safe and reliable operation of the railway system, this paper presents remote real-timemonitoring system of railway steel under pressure state of train based on wireless sensor networktechnology. At the same time, basing on the large space range layout of monitoring nodes, the cablepower supply is very difficult, so this paper designs a new type of piezoelectric transducers based oninverse magnetostrictive effect to provide power for monitoring node.First of all, according to the specific working environment and the properties of magnetostrictivematerial, we designed and optimized the piezoelectric transducers structure, discussed the feasibilityof the scheme separately from the theory model analysis and ANSYS simulation analysis by inversemagnetostrictive-piezoelectric match method, and the results show that the transducer can meet theneeds of the node power supply effectively.Secondly, based on the power supply characteristics of the inverse magnetostrictive transducer,this paper presents a railway steel stress wireless monitoring system based on CC2430+GPRS(SIM300C). We analyzed the function modules’ hardware structure and circuit design of the sensornode and the sink node, set up a set of hardware system which is stable and with low powerconsumption. And we also elaborated the software design of the system in detail: including theprocess of the sensor node fixed-time collecting and sending data; also the CC2430module of thesink node forming the minimal hop network, interrupt receiving and sending sensor node data by aserial port, the STM32module serial interrupt receiving and sending data by GPRS, then receivingGPRS command data.Finally, through the wireless sensor network test, GPRS remote sense test and the system’soverall test, the results show that the system is with low power consumption, high stability and datatransmission success rate of90%or more, and it can complete the task of remote real-time monitoringof the tracks pressure state.