将ISO26262扩展到操作复杂的系统

Jennifer Dawson, Divya Garikapati
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引用次数: 1

摘要

ISO 26262是针对乘用车电气和电子系统量身定制的功能安全规范。典型的乘用车有一个控制代理(驾驶员),并且通常使用简单的故障安全行为来通知驾驶员重大的系统故障,例如激活警示灯。开发先进的安全系统,最终目标是实现5级自动驾驶,因此需要开发操作复杂的乘用车来测试自动驾驶技术。这种系统的一个例子是双座舱车辆,专门设计用于TRI的“卫士”系统的人为因素研究。丰田Guardian预测或识别即将发生的事件,并无缝地干预,以帮助人类驾驶员形成一个移动队友。本文提出了一种利用ISO 26262方法的方法,该方法在汽车行业中已经建立起来,能够处理显著的操作复杂性。该方法开发了一个定义操作模式的操作概念(ConOps)。然后定义车辆级行为,以实现在ConOps中定义的所有操作模式下的安全状态。安全状态行为被集成到ISO 26262工作产品中,如HazOp、HARA和功能安全概念(包括功能安全要求)。这种概括的方法:1。2.便于系统地分析多个独立控制代理之间的控制权限仲裁。帮助确保在所有操作模式下有足够的系统冗余;开发适当的响应,使车辆在每个操作模式下处于安全状态。该方法可以很容易地适用于其他复杂的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending ISO26262 to an Operationally Complex System
ISO 26262 is a tailored functional safety specification for electrical and electronic systems in passenger vehicles. Typical passenger vehicles have one controlling agent (the driver) and typically utilize simple fail-safe behaviors to notify the driver of significant system faults, such as activating a warning light. Developing advanced safety systems, with the ultimate goal of achieving Level 5 autonomy, has created a need to develop operationally complex passenger vehicles to test self-driving technology. One example of such a system is a Dual-Cockpit vehicle that has been specifically designed to enable human factors research for TRI’s Guardian system. Toyota Guardian anticipates or identifies a pending incident and seamlessly intervenes to assist the human driver to form a mobility teammate.This paper presents a methodology to leverage ISO 26262 methodologies, which are well-established in the automotive industry, to be able to handle significant operational complexity. The methodology develops a Concept of Operations (ConOps) defining operational modes. Vehicle-level behaviors are then defined to achieve a safe state across all operational modes defined in the ConOps. The safe state behaviors are integrated into ISO 26262 work products such as the HazOp, HARA, and Functional Safety Concept, including Functional Safety Requirements. This generalized methodology: 1. facilitates systematic analysis of control authority arbitrations between multiple independent controlling agents, 2. helps ensure sufficient system redundancy across all operational modes, and 3. develops appropriate responses to bring the vehicle to a safe state in each operational mode. The methodology can be adapted to other complex systems with ease.
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