Under the overall development trend of smart grid, in order to solve the problem of inefficiency in large-scale equipment management, this paper designs and proposes a large-scale equipment inventory intelligent system for power grid. The system provides a systematic solution for the automatic inspection and efficient management of large-scale power grid equipment by integrating robot inspection technology, Internet of Things data collection means and intelligent data processing technology. However, the problem of RFID tag conflict has become a key bottleneck for the efficient operation of the system in dense tag scenarios. Therefore, based on the design of the intelligent system, this paper proposes an intelligent enhanced Dynamic Frame Queuing (EFQ) algorithm for the system. The EFQ algorithm improves the recognition efficiency and system stability in high-density scenarios through dynamic frame adjustment and priority optimization strategies. In this paper, the performance of the EFQ algorithm is compared with the IABS algorithm and the ICT algorithm. Experimental results show that the EFQ algorithm has significant advantages in terms of throughput and collision rate, the collision rate is reduced by more than 30%, and the system efficiency is increased by about 15%. Although there is no significant difference in recognition time compared with other algorithms, the overall performance of the EFQ algorithm is more stable, especially for device management requirements in dense labeling scenarios.