设计一种智能的、可生存的传感器系统,以增强铁路上危险或高价值货物的安全运输

J. Hogan, D. Rey, S. Faas
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引用次数: 6

摘要

由桑迪亚国家实验室开发的智能传感器技术应用于铁路应用,用于高价值或危险材料的安全运输。绿盒子能够在大多数典型的铁路事故中幸存下来。在发生事故时,该系统会发出求救信号,通知有关部门货物的位置和状况;允许他们以最有效的方式作出反应。该概念提出了一个捆绑式传感器包。绿色盒子,可以安装在任何火车车厢或集装箱上。其主要目的是尽量减少事故的数量、严重程度和后果,并减少因盗窃造成的损失。该系统还能够识别组件故障情况,通知操作人员并记录传感器数据,以便指导预防性维护。讨论了模块化实现,这有助于在包括先进列车控制系统(ACTS)在内的许多应用中进行系统集成。提出了确定事故生存能力环境规范的方法。描述了在正常运行和事故条件下评估硬件性能的测试计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a smart, survivable sensor system for enhancing the safe and secure transportation of hazardous or high-value cargo on railroads
An application of smart sensor technology developed by Sandia National Laboratories for use in the safe and secure transportation of high value or hazardous materials is proposed for a railroad application. The Green Box would be capable of surviving most typical railroad accidents. In an accident, the system would send a distress signal notifying authorities of the location and condition of the cargo; permitting them to respond in the most effective manner. The concept proposes a strap-on sensor package. the Green Box, that could be attached to any railroad car or cargo container. Its primary purpose is to minimize the number, severity and consequences of accidents and to reduce losses due to theft. The system would also be capable of recognizing component failure conditions, notifying the operators and logging sensor data for use in directing preventative maintenance. The modular implementation, which facilitates system integration in a number of applications including the Advanced Train Control System (ACTS), is discussed. The methodology for determining the environmental specification for accident survivability is presented. A test plan for evaluating hardware performance in both normal operating and accident conditions is described.<>
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