测震台站智能隔离防雷系统的设计与实现

介绍一种测震台站智能隔离防雷系统的设计实现。其电源部分设计为步进电机控制双电瓶交换充电、放电,保证设备与交流市电完全隔离;信号传输部分设计为通过无线局域网(WLAN)将测震信号传输到网关,再通过有线网络进行数据传输。此设计的优点是使测震核心设备与市电和外线完全物理隔离以达到最好的防雷效果。同时制作先进的NEMS传感器用于检测空间电磁场的变化,根据相应算法判断当地是否发生雷电,在附近有雷电发生时可控制断开信号线、市电等达到保护相关仪器的目的。

Design and Implementation of an Intelligent Isolated Lightning Protection System for Seismic Stations

To develop a system to protect the instruments of seismic stations from being damaged by lightning, we used a single-chip microcontroller as the core of the system to control the other chips and hardware. We used an industrial GPRS module to translate information from remote seismic stations to the seismic net monitoring center, and a WIFI module to transfer data between our system and a local wireless router. We used a magnetoelectric nano-electromechanical system (NEMS) sensor probe to detect the electromagnetic field (thunder). The connection status of the seismic signal line and the power line was controlled by the stepping motor of the single-chip microcontroller. In addition, we designed a system with a double internal 12 V DC switching power supply and a double inverter 220 V AC power supply for controlling the charging and discharging of the double storage batteries. When one storage battery is providing power to our system, the other is connected to the DC power for charging. This design ensures the complete isolation of our equipment from AC power. Furthermore, the system is able to transfer seismic data to the gateway using the wireless local area network, and simultaneously monitor changes in the electromagnetic space field with the NEMS sensor. The system can receive or control information from the monitoring center at any time, and can also control the connection status of the AC power and signal lines with the stepper motor. The double internal DC and AC power supply reduces the signal breakdown faults caused by power failure. This device can effectively protect seismic station instruments from damage by lightning, and improve the continuous operation ratio of seismic data.