灵鹊做题网有一段英文,希望高手帮我翻译一下啊,急.
来源：学生作业帮 编辑：灵鹊做题网作业帮 分类：英语作业 时间：2024/05/14 03:59:16
有一段英文,希望高手帮我翻译一下啊,急.
This paper presented an overview of some experiments that were done in order to develop a real-time Intelligent Decision Support System for civil structures
monitoring and behavior prediction. The results attained in the past with simple
elements (e.g., beams) opened room for the development of prediction models of
deformation and dislocation for a bridge structure prototype with encouraging results, as presented in this study.
Bridge Management is in the starting phase, but there are a lot of works in this area worldwide on inspection and health monitoring, capacity assessment, life-cycle cost analysis and maintenance repair. As proved in the experiments in this study, there are space for the use of techniques from Artificial Intelligence in this kind of systems, to improve the accuracy of deterioration models to predict the future condition sate and safety, in an accurate, fashion and economic way.
In the future we intend to use: data from multiple sources (e.g., traffic data, costs, predicted future conditions) and smart structures that enables a non costly and real-time monitoring of more parameters that can be used to build more reliable systems, and improve the accuracy of the proposed SIISEC system, that will be developed in the next phase of this project.
One of the big improvements that should be considered in future versions of the SIISEC system is the adoption of Grid technologies [17] for operation in distributed environments and in intelligent structures.
This paper presented an overview of some experiments that were done in order to develop a real-time Intelligent Decision Support System for civil structures
monitoring and behavior prediction. The results attained in the past with simple
elements (e.g., beams) opened room for the development of prediction models of
deformation and dislocation for a bridge structure prototype with encouraging results, as presented in this study.
Bridge Management is in the starting phase, but there are a lot of works in this area worldwide on inspection and health monitoring, capacity assessment, life-cycle cost analysis and maintenance repair. As proved in the experiments in this study, there are space for the use of techniques from Artificial Intelligence in this kind of systems, to improve the accuracy of deterioration models to predict the future condition sate and safety, in an accurate, fashion and economic way.
In the future we intend to use: data from multiple sources (e.g., traffic data, costs, predicted future conditions) and smart structures that enables a non costly and real-time monitoring of more parameters that can be used to build more reliable systems, and improve the accuracy of the proposed SIISEC system, that will be developed in the next phase of this project.
One of the big improvements that should be considered in future versions of the SIISEC system is the adoption of Grid technologies [17] for operation in distributed environments and in intelligent structures.
本文对有关发展内部结构监控行为预测的实时智能决策支持系统的实验做出了一个概述.本学术研究中,过去以单一元素（以电波为例）所获得的成就,为以后桥梁架构的原型变形和脱位的预测模式的发展做出了铺垫,并取得了瞩目的效果.
桥梁管理处于起步阶段,但是在体检,能力考核,寿命周期成本分析,维护检修领域中,此系统已广泛应用多时.如本研究所示,此这种系统中的人工智能科技还有很大的利用空间,或可以用来精确的检测到老化程度,并予以预测未来的安全程度.此法经济,准确,又时髦.
未来我们的趋势是：复合源数据（例：交通数据,费用,条件预测等）和智能架构.这些东西费用不高,并且可以实现多参数实时监控,最重要的是,它可以建立更多的可靠系统并提高计划中SIISEC系统的准确性.它可以在此工程的下一步工作中大显身手.
对于未来版本的SIISEC系统来说,其中一大进步将备受瞩目：在分散式环境和智能架构的操作中采用网格技术.
绝对没有机器翻译,你读读,很通顺,而且免费,觉得好你就采用吧
桥梁管理处于起步阶段,但是在体检,能力考核,寿命周期成本分析,维护检修领域中,此系统已广泛应用多时.如本研究所示,此这种系统中的人工智能科技还有很大的利用空间,或可以用来精确的检测到老化程度,并予以预测未来的安全程度.此法经济,准确,又时髦.
未来我们的趋势是：复合源数据（例：交通数据,费用,条件预测等）和智能架构.这些东西费用不高,并且可以实现多参数实时监控,最重要的是,它可以建立更多的可靠系统并提高计划中SIISEC系统的准确性.它可以在此工程的下一步工作中大显身手.
对于未来版本的SIISEC系统来说,其中一大进步将备受瞩目：在分散式环境和智能架构的操作中采用网格技术.
绝对没有机器翻译,你读读,很通顺,而且免费,觉得好你就采用吧