在人工智能加速发展的背景下，智慧城市对实时、精准的城市感知能力提出更高要求。然而，现有感知体系仍存在重复建设、数据孤岛和智能化不足等问题，制约城市治理效率。本文基于智慧城市感知体系的现状，探讨人工智能在前端感知、数据融合和业务闭环中的赋能作用，并提出构建感知“一张网”、打造AI赋能中枢和完善安全运维体系的建设路径，为智慧城市感知体系优化提供参考。

With the rapid development of artificial intelligence, smart cities require more accurate and real-time sensing capabilities. However, the current sensing systems still face issues such as duplicated construction, data silos, and insufficient intelligence, which hinder efficient urban governance. This study analyzes the challenges of existing sensing systems and explores how AI enhances front-end perception, data fusion, and operational decision loops. It further proposes strategies such as building an integrated sensing network, developing an AI empowerment hub, and strengthening security and maintenance mechanisms to support the optimization of smart city sensing systems.