「英中对照」Hanwha Vision与Morphean结合AI视频云平台 防范电动车充电设施盗窃破坏
Intelligent Camera Systems Secure Electric Vehicle Charging Infrastructure
Hanwha Vision与Morphean正结合AI视频分析与云安全平台技术,为欧洲电动车充电基础设施提供可防范线缆盗窃、人为破坏的安保方案。厂商称该方案可智能识别可疑行为、联动充电状态设置动态告警区以降低误报,还具备远程告警、主动威慑、充电桩状态监控、事件云端防篡改存证等功能,可保障充电点可用性。文中补充的边缘AI相关技术说明非原产品公告内容,材料未披露方案的落地案例与实测运行数据。
材料披露Hanwha Vision与Morphean联合提供的AI视频充电设施安保方案功能,所述降误报、提升充电点可用性等效果为厂商主张,补充技术说明非原产品公告内容,需核验实际落地表现及适配条件。
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Hanwha Vision and Morphean combine AI video analytics with cloud management to prevent cable theft and vandalism.Hanwha Vision 与 Morphean 将 AI 视频分析与云管理相结合,以预防电缆盗窃和恶意破坏。
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The rapid expansion of electromobility across Europe brings new security challenges for charging infrastructure operators. Charging stations are increasingly targeted by vandalism and cable thefts, driven by the high copper value of charging cables. To prevent prolonged downtime and costly repairs, Hanwha Vision and Morphean are now combining AI-powered cameras with a cloud-based security platform. This solution enables operators to detect suspicious activity at distributed or remote locations in real-time, intervene proactively, and ensure maximum charging point availability.电动出行在欧洲的快速扩张给充电基础设施运营商带来了新的安全挑战。由于充电电缆含铜量高,充电站日益成为恶意破坏和电缆盗窃的目标。为避免长时间停机和高昂维修费用,Hanwha Vision 与 Morphean 目前将 AI 摄像机与云端安防平台相结合。该解决方案使运营商能够实时检测分布式或远程站点的可疑活动,主动进行干预,并确保充电点的最高可用性。
AI Video Analytics and Dynamic Alarm Zones
Hanwha Vision cameras monitor charging bays 24/7, utilizing Intelligent Video Analysis (IVA) to identify specific behavioral patterns. For instance, the system detects individuals loitering near sensitive power supply enclosures. Morphean's platform complements this with dynamic alarm zones: when a vehicle is present in the bay, the zone is automatically deactivated. Once the vehicle departs, monitoring is re-enabled. Through a direct IT link with the charging station, the system can also verify whether an active charging session is underway or if a vehicle is blocking the space without authorization, drastically minimizing false alarms.AI 视频分析与动态警报区域
Hanwha Vision 摄像机全天候 24/7 监控充电车位,并利用智能视频分析(IVA)识别特定行为模式。例如,系统可检测人员在敏感供电箱附近逗留。Morphean 平台通过动态警报区域对此进行补充:当车位内有车辆时,该区域会自动停用。车辆一旦离开,监控即重新启用。通过与充电站建立直接 IT 链路,系统还可核实是否正在进行充电会话,或车辆是否未经授权占用车位,从而大幅减少误报警。
Remote Monitoring and Active Deterrence
In the event of unusual activity, Morphean enables centralized remote management that sends immediate warnings to security personnel or an alarm receiving center. To prevent damage pre-emptively, the system can intervene actively by triggering connected strobe lights or sirens as soon as the AI registers suspicious behavior. Furthermore, the systems can be used to monitor the technical status of the chargers; device-specific error messages are transmitted directly into the platform. All incidents are documented tamper-proof in the cloud to optimally support subsequent investigations and insurance claims.远程监控与主动威慑
发生异常活动时,Morphean 支持集中式远程管理,可立即向安保人员或报警接收中心发送警告。为预先防范损坏,AI 一旦识别到可疑行为,系统即可主动干预,触发已连接的爆闪灯或警笛。此外,该系统还可用于监控充电机的技术状态;设备特定的错误消息会直接传输到平台中。所有事件均以防篡改方式记录在云端,以便为后续调查和保险索赔提供最佳支持。
Additional Context: Edge AI and Protection of HPC Infrastructure
This section contains technical specifications and competitive benchmarking not included in the original product announcement.
Charging cables for High-Power Charging (HPC) are extremely expensive and coveted on the black market due to their massive copper cross-section and integrated liquid cooling. Traditional passive closed-circuit television (CCTV) mostly just records offenses, which is of little use for unmanned charging parks since the perpetrators have long fled by the time the damage is discovered. Integrating edge AI cameras with cloud platforms shifts security from reactive recording to predictive intervention. By leveraging deep learning algorithms directly on the camera (edge computing), latency and bandwidth requirements are significantly reduced, as only verified metadata and short alarm sequences need to be sent to the cloud. This is particularly crucial for remote highway charging parks that are often connected via bandwidth-limited cellular networks (4G/5G).附加背景:边缘 AI 与 HPC 基础设施保护
本节包含原始产品公告中未包含的技术规格和竞争基准对比。
大功率充电(HPC)电缆因其巨大的铜截面和集成液冷而极其昂贵,在黑市上备受觊觎。传统的被动闭路电视(CCTV)大多只是记录违法行为,这对于无人值守的充电场站作用有限,因为当损坏被发现时,作案者早已逃离。将边缘 AI 摄像机与云平台集成,可使安防从被动记录转向预测性干预。通过直接在摄像机上利用深度学习算法(边缘计算),延迟和带宽需求显著降低,因为只需将经过验证的元数据和简短警报序列发送到云端。这对于通常通过带宽受限的蜂窝网络(4G/5G)连接的偏远高速公路充电场站尤为关键。
Edited by industrial journalist Lekshman Ramdas, with AI assistance.
www.hanwhavision.com由行业记者 Lekshman Ramdas 编辑,AI 协助。
www.hanwhavision.com
来源:Smart Building International · smartbuildingmag.com
