Design of Early Warning System Based on Wireless Sensor Network

Abstract

Abstract-In order to solve the shortcomings of the landslide monitoring technology method, a set of landslides monitoring and early warning system is designed. It can achieve real-time sensor data acquisition, remote transmission and query display. In addition, aiming at the harsh environment of landslide monitoring and the performance requirements of the monitoring system, an improved minimum hop routing protocol is proposed. It can reduce network energy consumption, enhance network robustness, and improve node layout and networking flexibility. In order to realize the remote transmission of data, GPRS wireless communication is used to transmit monitoring data. Combined with remote monitoring center, real-time data display, query, preservation and landslide warning and prediction are realized. The results show that the sensor data acquisition system is accurate, the system is stable, and the node network is flexible. Therefore, the monitoring system has a good use value.

An Anthurium Growth Environment Monitoring System Based on Wireless Sensor Network

“…Real-time automatic measurement method is that flower growth environment factors are measured automatically and continuously through a system composed of instruments, computers and other communication equipments. This can collect large amounts of data quickly, real-time monitor changes in flower growth environment, but many of the existing monitoring systems are in need of wiring massive electric cable with some disadvantages such as wiring difficulties, poor anti-interference ability, high cost and difficult construction technology [3].…”

3D Visualization Monitoring and Early Warning System of a Tailings Dam—Gold Copper Mine Tailings Dam in Zijinshan, Fujian, China

“…The early safety assessment of tailing dams in China was mainly based on manual monitoring (Yang et al, 2019). With the development and promotion of monitoring equipment, many tailing dams have used automatic monitoring devices and established a variety of monitoring systems based on wireless sensor network, the Internet of things, CAN-bus, and ZigBee technology (Wenxue et al, 2011;Wang and Yong, 2014;Bo and Shan, 2018;Meng, 2019;Gamperl et al, 2021). The installation of various types of automatic monitoring equipment on a tailing dam improves the monitoring efficiency and degree of automation (Pirsiavash et al, 2017;Ayhan and Almuslmani, 2021;Sarantsev, 2021;Zheng et al, 2021).…”