空间智能是人工智能发展的前沿代表，它既是多种数字技术范式更迭的产物，也是驱动社会治理多重变革的算法工具。当前，公安机关实战工作中尚未充分与空间智能融合，基层民警在执法办案中多采用传统模式处理警情，内容冗杂且效率不高。研究发现：在重现犯罪现场、证据链的构建、日常巡逻等方面空间智能能辅助公安机关发挥很好的作用，但在使用过程中可能会出现隐私泄露、技术黑箱及过度依赖的问题，因此提出了加强隐私保护、优化技术、制定相应法律等方法来解决问题。空间智能赋能传统警务迈向以数字化、网络化、智能化为主要特征的新型智慧警务时代，推动警务活动从“人防为主”向“技防主导”的智能化转型，加快警务活动走向现代化的步伐。

Spatial intelligence represents the cutting-edge of artificial intelligence development. It is not only the product of the evolution of multiple digital technology paradigms but also an algorithmic tool that drives multiple changes in social governance. At present, public security organs have not yet fully integrated spatial intelligence into their practical work. Grassroots police officers mostly adopt traditional models to handle police situations, which are cumbersome and inefficient.Studies have shown that spatial intelligence can play a good auxiliary role for public security organs in reproducing crime scenes, constructing evidence chains, and daily patrols. However, problems such as privacy leakage, technical black boxes, and over-reliance may arise during its use. Therefore, methods such as strengthening privacy protection, optimizing technology, and formulating corresponding laws have been proposed to solve these problems.Spatial intelligence empowers traditional policing to move towards a new era of smart policing characterized by digitalization, networking, and intelligence. It promotes the intelligent transformation of policing activities from being “people-oriented” to “technology-led”, and accelerates the modernization of policing activities.