Abstract: As a core component of China′s ecological security barrier, the integrity and stability of protected areas are vital to national ecological security. With the accelerated advancement of a protected area system centered around national parks, existing regulatory models face significant challenges. The prevailing model relies heavily on manual patrols and post-event verification, which is inefficient and costly. Moreover, it struggles to provide comprehensive coverage and rapid response across the vast and complex terrains of protected areas, thus limiting the implementation of routine and precise monitoring objectives. Additionally, diverse sources, inconsistent structures, and limited standardization of monitoring data create difficulties in achieving full-chain business coordination from monitoring and analysis to verification and enforcement. This hampers the scientific rigor and timeliness of management decisions. To address these issues, this report aims to develop an intelligent platform driven by data for the comprehensive monitoring of human activities in protected areas. The goal is to standardize and refine monitoring processes and achieve closed-loop management from the detection to the resolution of human activities, thereby enhancing the standardization and overall efficiency of operational execution. The outcomes and practical implementation of this study provide a replicable and scalable model for constructing a protected area system with national parks at its core.