Intelligent Review System for Underground Passage Engineering Design Scheme Based on Ant Colony Feedback Technology

With the continuous expansion of urban infrastructure construction, the design of underground tunnel projects has become increasingly complex. The traditional manual review method of design schemes is time-consuming and labor-intensive, prone to human errors, and cannot meet the requirements of modern engineering for efficiency and high quality. This paper proposes an intelligent review system for underground tunnel engineering design schemes based on ant colony feedback technology. First, the system collects and preprocesses the relevant data of the design scheme. Then, the ant colony algorithm is used to simulate the behavior of ants in finding the optimal path, thereby establishing an evaluation model for the design scheme. Through continuous iteration and optimization of ant colony feedback, the system can comprehensively evaluate the rationality, safety and economy of the design scheme. Experimental results show that this intelligent audit system can significantly improve audit efficiency and accuracy. The audit accuracy fluctuates greatly in the early stage, but exceeds 80% after the 50th generation and continued to improve, eventually stabilizing at around 92%, providing a reliable technical means for the audit of underground passage engineering design plans.