城市消防安全监测监管解决方案

基于消防物联感知数据，实时分析展示消防安全状况，通过“数据汇聚 • 融合共享 • 立体防控 • 分析决策”，打造以防为主、防消结合的动态管理、指挥决策的智慧消防应用平台，整合信息资源，深挖数据价值，全面提升消防火灾防控的精准性、高效性，为实现消防安全保驾护航。 1、数据融合：基于“一张图”全面汇聚消防多维度数据，支持对接不同消防物联网平台和消防相关业务数据，融合消防设备、警情、火灾、巡查、视频等信息。 2、精准防控：搭建安全预警、预测数据分析模型，挖掘消防安全隐患，通过模型运算分析火灾薄弱环节，为辅助决策提供数据依据，精准指导火灾防控。 3、责任落实：构建涵盖消防部门、运营中心、社会单位等的责任体系，搭建消防责任网 。

Based on fire IoT sensing data, real-time analysis and display of fire safety status are conducted. Through the four core links of "Data Aggregation, Integrated Sharing, Three-dimensional Prevention and Control, Analysis and Decision-making", a smart fire protection application platform for dynamic management and command decision-making that prioritizes prevention and combines prevention with firefighting is developed. The platform integrates information resources, taps into the value of data, comprehensively enhances the accuracy and efficiency of fire prevention and control, and safeguards fire safety.

1. Data Integration: Based on the "One Map" framework, multi-dimensional fire protection data is fully aggregated. It supports connecting to various fire IoT platforms and fire-related business data, integrating information such as fire equipment, alarms, fire incidents, patrols, and video surveillance.

2. Precise Prevention and Control: Safety early warning and predictive data analysis models are built to identify fire safety hazards. Weak links in fire prevention are analyzed through model computations, providing data basis for auxiliary decision-making and accurately guiding fire prevention and control.

3. Implementation of Responsibilities: A responsibility system covering fire departments, operation centers, social units and other relevant entities is constructed, and a fire protection responsibility network is established.

AI搜集汇总

背景与挑战

背景概述

该数据集是浙江大华技术股份有限公司提供的城市消防安全监测监管解决方案，基于消防物联感知数据，通过数据融合、精准防控和责任落实等功能，实现消防安全状况的实时分析和展示。应用案例显示，该方案已成功应用于天津市某区消防物联网远程监控系统项目，覆盖233家重点单位消防场景和2000个NB烟感。