Cloud-based Intelligent Structural Health Monitoring Platform for Long-span Bridges - iSHM

桥梁是一个国家重要的基础设施资产之一。桥梁的关闭或倒塌造成重大经济损失（第四公路大桥的一条车道关闭约65万英镑）或重大伤亡（1993年圣水大桥倒塌造成32人死亡，17人受伤）。由于桥梁意义重大、建设成本高、易受风致损伤和疲劳损伤的影响，开发智能结构健康监测（iSHM）系统对于保证桥梁的安全和使用寿命至关重要。iSHM是由中国经济重地江苏的中方合作伙伴和由UbiPOS领导、诺丁汉大学支持的英国团队合作而成，前者在设计和安装SHM传感系统方面拥有丰富的经验，并对中国SHM市场有详细的了解和了解，后者开发了世界领先的SHM解决方案和数据策略，并利用基于云计算和大数据分析。遥感图像、水文数据和第三方数据将广泛用于长江沿岸选定桥梁的综合监测，作为iSHM的示范，以开发世界范围内SHM应用的机会。

Bridges are among a nation's key infrastructure assets. The closure or collapse of bridges results in significant economic losses (circa £650K for one lane closure of the Forth Road Bridge) or heavy casualties (32 killed and 17 injured in the Seongsu Bridge collapse in1993). It is critical to develop an intelligent structural health monitoring (iSHM) system to ensure the safety and serviceability of bridges during their life time, particularly for long-span bridges due to their significance, high construction costs and susceptibility to wind-induced and fatigue damage. iSHM is a collaboration between the Chinese partners in Jiangsu - an economic powerhouse of China, who possess rich experiences in designing and installing SHM sensory systems and detailed knowledge of and access to the Chinese SHM market, and the UK team led by UbiPOS and supported by the University of Nottingham, who are the developers of world leading SHM solutions and data strategies empowered with cloud-based computation and big data analytics. Remote sensing images, hydrological data and third party data will be extensively used for comprehensive monitoring of selected bridges along the Yangtze River as demonstrators of iSHM for exploiting world wide opportunities in SHM applications.