Special soil environment and geographic location expose tunnels in Shanghai to a higher risk of asymmetry change and non-homogeneous settlement that could make a threat to passenger safety and tunnel structure stability. Considering work efficiency and costs, current monitoring methods and frequency are not suitable for tunnel monitoring present stage requirements. To make sure tunnel under condition of economic sustainability, environmental sustainability and engineering safety, new technology and instrument for monitoring should be designed to break through. Besides, asynchrony and retardation existing in data acquisition and analysis makes monitoring task cannot reflect tunnel real-time status. This can make people unable to timely detect the occurrence and risk of tunnel disaster. The purpose of this article is to develop a tunnel settlement monitoring system with several intelligent functions for comprehensive evaluating tunnel healthy, generating seasonable warnings and guaranteeing construction sustainability. To facilitate the expansion of the system and data structure, agent techniques and condition based monitoring standard have been applied to establish the system with 9 action parts according to 3 different geospatial. Moreover, web service has also been used to provide human–computer interface and realize visual function, and meanwhile, all the procedure of the system was completed automatically. Additionally, the system was tested with a task in Shanghai tunnel, and the result shows the monitoring system can describe tunnel conditions, prevent tunnel hazards and assist managers to make appropriate decisions with less people and reduced costs.

特殊的土壤环境和地理位置使上海隧道面临更高的不对称变化和非均质沉降风险，可能对乘客安全和隧道结构稳定性构成威胁。考虑到工作效率和成本，目前的监测方式和频率不适合隧道监测现阶段的要求。为确保隧道在经济可持续、环境可持续和工程安全的条件下，应设计新的监测技术和仪器进行突破。此外，数据采集和分析存在的不同步和滞后，使得监测任务不能反映隧道实时状态。这会使人们无法及时发现隧道灾害的发生和风险。本文旨在开发一种具有多种智能功能的隧道沉降监测系统，用于综合评价隧道健康状况、产生及时预警并保证施工的可持续性。为了便于系统和数据结构的扩展，应用代理技术和基于状态的监测标准，根据3个不同的地理空间建​​立了具有9个动作部分的系统。此外，还使用Web服务提供人机界面和实现可视化功能，同时系统的所有程序都是自动完成的。此外，该系统在上海隧道中进行了一项任务测试，结果表明该监控系统可以描述隧道状况，