a Human Factors Research Group , University of Nottingham , Nottingham , UK.
Ergonomics. 2014;57(3):387-402. doi: 10.1080/00140139.2014.893026.
Technological and organisational advances have increased the potential for remote access and proactive monitoring of the infrastructure in various domains and sectors - water and sewage, oil and gas and transport. Intelligent Infrastructure (II) is an architecture that potentially enables the generation of timely and relevant information about the state of any type of infrastructure asset, providing a basis for reliable decision-making. This paper reports an exploratory study to understand the concepts and human factors associated with II in the railway, largely drawing from structured interviews with key industry decision-makers and attachment to pilot projects. Outputs from the study include a data-processing framework defining the key human factors at different levels of the data structure within a railway II system and a system-level representation. The framework and other study findings will form a basis for human factors contributions to systems design elements such as information interfaces and role specifications.
技术和组织上的进步增加了远程访问和主动监控不同领域和部门基础设施的潜力，如供水和排污、石油和天然气以及运输。智能基础设施 (II) 是一种架构，它有可能生成关于任何类型基础设施资产状态的及时和相关信息，为可靠的决策提供基础。本文报告了一项探索性研究，旨在了解铁路领域 II 相关的概念和人为因素，主要是通过对关键行业决策者的结构化访谈和对试点项目的附加内容来了解。研究结果包括一个数据处理框架，定义了铁路 II 系统数据结构不同层次的关键人为因素，以及一个系统级别的表示。该框架和其他研究结果将为系统设计元素（如信息接口和角色规范）的人为因素贡献提供基础。
