<p>Local intelligent ventilation based on proportional-integral-derivative (PID) control, which is regulated considering global gas concentration, is an effective way to accurately control gas concentration. However, the traditional monitoring system, as the source of PID process data, has a sparse distribution of monitoring points, making it difficult to capture the overall gas concentration across the working face. To obtain the global gas concentration and improve the regulation precision, a new PID automatic control method complemented by computational fluid dynamics (CFD) for gas concentration in the tunneling face is proposed. Firstly, the traditional monitoring system is complemented by CFD simulation as the source of process variable data for the PID controller model. Secondly, the PID controller model utilizes the maximum gas concentration from the CFD simulation to regulate the air velocity. The gas concentration field after the ventilation control is calculated through the CFD simulation. Two steps are repeated for all time steps in the time loop until the end of simulation time is reached. The gas source term setting, maximum gas concentration monitoring, and PID controller model are programmed by user defined function (UDF) program and embedded with the CFD model. The research tackles PID process variable data input errors caused by sparse monitoring points, enabling real-time analysis and precise control of local intelligent ventilation simulation systems. Additionally, the ventilation power and facility control schemes are proposed. The CFD-based method offers a new way for testing, developing, and optimizing local intelligent ventilation systems before construction, with potential applications in tunneling faces.</p>