我国运营期隧道病害管理系统研究现状及展望

Current Research Status and Prospects of Defect Management Systems for Operational Tunnels in China

  • 摘要: 运营期隧道病害种类众多,相应的整治方式也有多种,若忽视隧道病害信息的整理与分析工作,将会严重影响病害的整治效率,不利于隧道的运营安全。因此,建立隧道病害管理系统,实现病害信息的高效管理,对隧道的运营维护有着积极意义。从病害信息数据库和软件平台两方面详细分析了我国隧道病害管理系统的研究现状,并对其未来的发展趋势提出展望。研究发现,目前病害信息数据库主要基于关系型数据库进行开发,但此类数据库数据容量有限,且数据存储局限于文本信息及监测数据;在病害信息数据库的基础上,以C/S架构(客户端/服务器,Client/Server)开发的交互软件难以推广,信息表达能力差,而以B/S架构(浏览器/服务器,Browser/Server)开发的浏览器平台受制于网络环境,时效性差,无法承受大规模的数据吞吐。因此,引入非关系型数据库,增加病害信息的存储容量,将病害检测图像纳入管理范围,是未来病害数据库发展的重要方向;而以C/S-B/S混合架构开发交互管理平台,兼顾病害检测数据的深入分析与病害信息的多样化表达是未来软件平台可行的开发方向。

     

    Abstract: There are numerous types of tunnel defects during the operation period, and various remediation methods are available. Ignoring the documentation and analysis of tunnel defect information will severely affect the efficiency of defect remediation and hinder the safe operation of tunnels. Therefore, establishing a tunnel defect management system for the efficient management of defect information is of great significance for tunnel operation and maintenance. This paper analyzes in detail the current research status of tunnel defect management systems in China from the perspectives of defect information databases and software platforms, and provides an outlook on their future development trends. The study finds that, at present, defect information databases are mainly developed based on relational databases. However, these databases have limited data capacity, and data storage is confined to text information and monitoring data. On the basis of these databases, interactive software developed using the C/S architecture(Client/Server) has poor scalability, and the information expression capability is weak. Additionally, the B/S architecture (Browser/Server) based browser platforms are limited by network environments, have poor timeliness, and cannot handle large-scale data throughput. Therefore, introducing non-relational databases, increasing the storage capacity for defect information, and incorporating defect detection images into management systems is an important direction for the future development of defect databases. Furthermore, developing an interactive management platform based on a hybrid C/S-B/S architecture, balancing in-depth analysis of defect detection data and diverse expression of defect information, is a feasible direction for the future development of software platforms.

     

/

返回文章
返回