A Safety Monitoring S-ystem For Highway Slope

Highway slope disasters have posed a great threat to people's lives and property,and how to monitor the safety status of highway slopes has always been a challenge.With the development of information technology,the use of new technologies,such as embedded sensor technology and Internet information technology,can effectively solve this problem.This article has designed and implemented a highway slope safety monitoring system which combines sensor hardware and information software.At the beginning of this article,we introduced the theoretical background and the overall design ideas,and divide the entire system into three modules.First,the sensor acquisition module achieves the original data collection and sending functions by the vibrating wire sensors and embedded chip programming.Traditional frequency acquisition methods have many shortcomings,so this article presents a new dynamic window sweep method based on historical data,the method has both high speed and high precision.Second,the server-side processing module can receive,process and store the original data,it can also configure the parameters of the sensor acquisition box.The module has greatly improved system performance by some optimization,such as sticky packet processing,concurrent processing.Third,the Web presentation module gets the data from the database,presents the data and warning information through multiple dimensions.This module mainly introduces the database construction and lots of optimization work about SPA(single page application).Finally,we combine the three modules to test on the Hangzhou-Anhui highway,and compare the data with similar product,the results show that the system is safe,reliable and accurate.The safety monitoring system proposed in the article has achieved the intended goal of slope safety monitoring by discrete module design,innovative sensor frequency acquisition strategy,and optimized server and Web-side applications.The test results show that the system work well,and it's useful for the automation of disaster monitoring.