To promote the application of intelligent control technology in the field of tunnel construction ventilation, a streamlined intelligent ventilation control system for construction tunnels is proposed. This system mainly consists of three components: a monitoring host module, a working face environment recognition module, and an actuator control module. Based on an enhanced augmented ZNPID algorithm, the system achieves multiparameter control of tunnel ventilation by normalizing pollutant concentrations. The study results reveal that the intelligent ventilation system efficiently adjusts the fan frequency according to the pollutant concentration at the working face during a twomonth field test in a construction tunnel. In comparison to traditional methods, the system manages to reduce power consumption by approximately 31%, indicating a significant potential for energy savings. Furthermore, a comprehensive processbased ventilation control method based on realtime measurements and historical data is proposed. By analyzing the unique characteristics of each construction process and the air volume requirements, realtime assessments of the procedure of construction are achieved. This provides a novel approach to achieving comprehensive processbased intelligent ventilation control. The proposed intelligent ventilation control system and methodology contribute to advancing the scientific management of ventilation in construction tunnels, providing valuable insights for the intelligent application of tunnel ventilation.