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表5路侧系统安全等级分级表
表5路侧系统安全等级分级表
行业数据
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图片大小：99KB
图片尺寸：1423*679
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所属报告：
IMT-20205G推进组：2025车路协同路侧系统功能安全研究报告（51页）.pdf
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并能够联动SOAR等其他安全防护系统进行风险
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图5-4主动安全感知系统示意图
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图3-2全域安全九大安全系统
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行业数据
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通过无人智慧矿卡、智慧调度系统，构建矿山高效、安全的装运能力
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行业数据
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图14 储能系统安全风险地图（R-Map)
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行业数据
2025-12-05
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第 4 章 AVP 系统预期功能安全测试体系研究
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行业数据
2025-11-20
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图1.5 AVP系统预期功能安全技术路线图
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2025-11-20
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第 4章AVP系统预期功能安全测试体系研究
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2025-11-20
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图1智慧照明安全综合管理系统
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2025-11-10
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AI技术面临的安全威胁与挑战、AI安全常用防御技术以及AI应用系统安全
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2025-11-07
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的质量管理体系要求，只需兼容已有上车的提醒类信息要求即可。 注2：若用例安全设计及分析出RSIL等级较高，受限于现阶段技术或商业实 际应用现状不能满足的，应评估实际应用过程中的安全风险处于合理可接受的水 三、基于RSIL的用例分析 在完成路侧设备功能安全体系构建后，为验证体系的有效性与实用性，本章 节从应用场景切入，选取《C-V2X与单车智能融合功能及应用》研究中基于V2I 的典型用例展开深度分析，其已对车端功能实施功能安全分析，并将要求分解至 车侧与路侧系统。本报告在此基础上，运用路侧功能安全方法论，针对路侧系统 开展功能安全概念分析。 需明确的是，用例分析聚焦于车路协同系统在不同场景下的实际需求，而非 针对路侧设备功能安全的最高等级场景。通过运用已构建的安全体系，对路侧设 备功能安全相关的潜在风险进行识别、评估与处理，旨在检验安全体系的实际应 用效能，为功能安全体系的优化完善提供实践依据。在分析过程中，需综合遵循 1）系统性原则：要求全面覆盖路侧系统感知、计算、通信等全要素，同时 考量车端、路侧、云端的跨系统协同交互，实现对场景的全链条风险分 2）风险聚焦原则：针对应用场景本质特征，锁定核心风险（如AEB场景
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IMT-20205G推进组：2025车路协同路侧系统功能安全研究报告（51页）.pdf
根据现存标准，企业内部标准对供应商进行驻场调查，主要关注调查
在交付阶段/实际应用阶段产品符合功能安全要求？（多选)
其V2X软件方案功能集成情况是什么？（多选)
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2026-04-03
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