Design And Optimization Of Landslide Monitoring System Based On ZigBee

Aiming at the characteristics of the landslide monitoring system,a monitoring system based on ZigBee technology is proposed and designed.ZigBee technology is a type of wireless sensor network technology.It has the advantages of low power consumption,large network capacity,and short delay.It is widely used in industry,agriculture and other fields,and has achieved good monitoring results.Traditional landslide monitoring technology mainly relies on human collection,which cannot achieve real-time monitoring,and the data acquisition is limited by climatic conditions.Based on the research of ZigBee network technology,this article is committed to applying ZigBee technology to landslide monitoring,and has developed a complete landslide monitoring system from sensor data collection end to host computer software.At the same time,the signal transmission quality of ZigBee monitoring nodes in the landslide monitoring process is developed.And the deployment plan of monitoring nodes has been studied in depth,and the specific research results are as follows:(1)Based on the characteristics of the landslide monitoring system,the overall structure of the wireless network for monitoring is constructed.That is,on the basis of determining the monitoring area,a ZigBee self-organized local area network is used to cover the monitoring area,and the data collected in the local area network is uploaded to the Internet through a gateway composed of GPRS+ZigBee.(2))According to the requirements of the wireless network signal quality during the actual landslide monitoring,the CC2530 chip was designed and assembled as the core hardware equipment for the communication node of the ZigBee wireless network,and the node networking test was carried out in a variety of natural environments,Studied the variation of RSSI value between nodes with the distance between nodes under different environment scenarios,and recorded the collected data.Furthermore,through the least squares method,the relationship between the RSSI value and the communication distance between nodes in different environments can be fitted,and the distance threshold for the communication nodes to maintain good communication quality in different environments can be calculated quantitatively,which is the node on the landslide.While providing reference for actual deployment,it also lays the foundation for landslide monitoring signal quality evaluation.(3)A simulation algorithm for the rapid optimization and deployment of ZigBeemonitoring nodes based on the combination of digital image processing technology and virtual force algorithm is proposed.The satellite image of a slope in the Three Gorges Reservoir area obtained on Google Earth is used to carry out the target monitoring area.After digital image processing and optimized deployment of virtual algorithms,the number of ZigBee monitoring nodes required for high coverage monitoring of the target area and the schematic diagram of node deployment under this coverage are quickly obtained,thereby providing a rapid target monitoring for actual landslide monitoring.How many monitoring nodes are needed to achieve wireless network coverage in an area and related deployment solutions? The results show that the algorithm is more efficient and the deployment plan is reasonable.(4)The overall monitoring system has been developed from the hardware assembly of sensors and monitoring nodes to the software of the upper computer.It realizes that multiple sensors such as soil moisture meter and landslide displacement meter use ZigBee network technology to upload and collect data,that is,the sensor is linked with ZigBee monitoring nodes through a variety of switching modules and circuit design,and the collected data is passed through RS485 digital signals It is transferred to the ZigBee node through the RS485 to TTL module,and finally transmitted to the PC through the GPRS+ZigBee gateway.At the same time,in response to the requirements of landslide monitoring,the host computer software was developed under the Qt environment,which completed multiple functions from data reception,historical data storage to real-time curve display.