数智融合解构隧道安全风险

Deconstruction of the Integration of Big Data and AI to Tunnel Security Risks

随着全国隧道数量的不断增加,相应的交通事故也逐年增多。这就需要管理部门不断地进行工作理念和工作方法的革新,特别是注意以数智融合为契机,做好相关危险的排除与解决。该文通过具体实例,运用大数据、人工智能、边缘算法等科技手段对隧道治理情况进行分析,分析论证过程表明:隧道出现安全风险可能性,与数智融合解构方法使用效率成反比。希望利用该文的研究降低事故发生的风险。

With the continuous increase of tunnels,the occurrence of traffic accidents in tunnels across the country is also increasing year by year in recent years,which requires management departments to continuously innovate the working concept and working method,especially pay attention to taking the integration of big data an AI as an opportunity to do a good job in eliminating and solving relevant risks.Through concrete examples,this paper uses big data,artificial intelligence,the edge algorithm and other scientific and technological methods to analyze the situation of tunnel treatment.The analysis and demonstration process shows that the possibility of security risks in tunnels is inversely proportional to the use efficiency of the deconstruction method of the integration of big data and AI.It is hoped that the research in this paper will be used to reduce the risk of accidents.