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作 者:杨炜林 蔡斌 王付升 YANG Wei-lin;CAI Bin;WANG Fu-sheng(Sichuan Minghoutian Information Technology Co.,Ltd.)
机构地区:[1]四川省明厚天信息技术有限公司
出 处:《智能建筑与智慧城市》2025年第4期23-26,共4页Intelligent Building & Smart City
摘 要:随着园区的发展,安全问题日益凸显,构建有效的园区安全服务平台至关重要。文章基于DE大数据挖掘基础支撑平台开展园区安全服务平台的构建研究。园区生产涉及众多危险化学品,传统安全管理难以满足需求。该园区安全服务平台借助DE大数据挖掘平台,整合园区内如危险品储罐监测、运输车数据、地理信息等多源数据,通过大数据技术进行数据处理与分析,能够对园区重大危险源实时监控与预警。同时利用数据挖掘算法建立风险预测模型,提前发现潜在安全隐患。还整合各类数据资源构建统一数据中心,实现跨部门、跨企业协同管理。从而提升园区应急响应效率,优化运营管理,为园区从被动应对安全事故转为主动防御风险提供有力支撑,保障园区安全稳定发展。With the development of the park,safety issues have become increasingly prominent,and it is crucial to build an effective park safety service platform.Minghoutian Company is conducting research on the construction of a park security service platform based on the DE big data mining basic support platform.The production in the park involves numerous hazardous chemicals,and traditional safety management is difficult to meet the demand.The security service platform of the park utilizes the DE big data mining platform to integrate multiple sources of data within the park,such as monitoring of dangerous goods storage tanks,transportation vehicle data,geographic information,etc.Through big data technology for data processing and analysis,real-time monitoring and early warning of major hazards in the park can be achieved.At the same time,using data mining algorithms to establish a risk prediction model,potential safety hazards can be detected in advance.We also integrate various data resources to build a unified data center to achieve cross departmental and cross enterprise collaborative management.In this way,the emergency response efficiency of the park can be improved,operation and management can be optimized,and strong support can be provided for the park to shift from passive response to safety accidents to active risk defense,so as to ensure the safe and stable development of the park.
关 键 词:大数据挖掘 园区安全 风险预警 智能决策 闭环治理
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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