運(yùn)用算法與數(shù)據(jù)融合技術(shù)強(qiáng)化城鎮(zhèn)安全監(jiān)管研究

摘要：隨著城鎮(zhèn)化進(jìn)程加速，城鎮(zhèn)安全監(jiān)管成為城市治理中的重要環(huán)節(jié)。本文聚焦算法與數(shù)據(jù)融合技術(shù)在城鎮(zhèn)安全監(jiān)管中的應(yīng)用，通過智能分析多源數(shù)據(jù)，精準(zhǔn)識別安全隱患，提升監(jiān)管效率與應(yīng)急響應(yīng)速度，為城鎮(zhèn)安全管理提供科學(xué)依據(jù)和技術(shù)支撐，有效增強(qiáng)公共安全水平。

關(guān)鍵詞：城鎮(zhèn)安全；智能算法；數(shù)據(jù)融合；強(qiáng)化監(jiān)管

doi：10.3969/J.ISSN.1672-7274.2025.01.018

中圖分類號：C 912；TP 3                 文獻(xiàn)標(biāo)志碼：A            文章編碼：1672-7274（2025）01-00-03

Research on Strengthening Urban Safety Supervision through Algorithms and Data Fusion Techniques

ZHANG Mingwei1， DUAN Xiaoyu2， YU Liang1

（1. CAS Smart City Research and Design Institute Co.， Ltd.， Beijing 100160， China;

2. China Tower Corporation Dali Branch， Dali 671000， China）

Abstract： With the acceleration of urbanization， urban safety supervision has become a crucial aspect of city governance. This paper focuses on the application of algorithms and data fusion techniques in urban safety supervision， utilizing intelligent analysis of multi-source data to precisely identify potential safety hazards， thereby enhancing regulatory efficiency and emergency response speed. It provides scientific evidence and technical support for urban safety management， effectively boosting public safety levels.

Keywords： urban safety; intelligent algorithms; data fusion; enhanced supervision

1   研究背景

隨著科技的飛速發(fā)展，城市規(guī)模不斷擴(kuò)張，人口密集度增加，這直接導(dǎo)致了城市安全問題日益復(fù)雜化和多元化[1]。（剩余4766字）