北京市西城区园林绿化与市政道路险情监测图像数据集

本数据集专用于训练和优化重点监测区域（如城市主干道、人员密集的公共场所、易发生险情的特殊地段等）的视觉识别模型，旨在智能、精准地识别可见范围内存在的典型问题：烟雾、火焰。 应用目标为服务于西城区重点监测区域和可见范围内包含设备异常冒烟的异常识别工作，通过将AI识别模型集成于智慧城管平台，实现对管辖范围的7x24小时自动化监测。具体流程为：系统自动发现险情 -> 平台生成工单并派发 -> 管/养单位现场处置 -> 核查验收结案。该应用有效改变了依赖人工巡查的传统模式，大幅提升了风险的提前预警与主动防控，提升应急响应效率、降低事故风险和保障公共安全，为保障公共安全、提升城市形象提供关键技术支撑。This dataset is exclusively designed for training and optimizing visual recognition models for key monitoring areas, such as urban main roads, crowded public places, and special sections prone to safety hazards, aiming to intelligently and accurately identify typical hazards within the visible range: smoke and flame. The application targets the anomaly recognition work in key monitoring areas of Xicheng District and scenarios where abnormal smoke emission from equipment is detected within the visible range. By integrating the AI recognition model into the smart urban management platform, 24/7 automated monitoring of the jurisdictional areas is realized. The specific workflow is as follows: the system automatically detects hazards → the platform generates and dispatches work orders → management or maintenance units carry out on-site disposal → verification, acceptance and case closure. This application effectively replaces the traditional mode relying on manual patrols, greatly enhancing early warning and proactive prevention and control of risks, improving emergency response efficiency, reducing accident risks, and ensuring public safety, providing key technical support for public security guarantee and urban image enhancement.