Abstract: Accurate and comprehensive monitoring of ventilation environmental parameters is a critical prerequisite for real-time network calculation, on-demand air supply, abnormal early warning, emergency decision-making, and intelligent control in mine ventilation systems. To achieve precise monitoring of ventilation network parameters, this study proposes a classification scheme for three types of ventilation monitoring sensors—environmental perception, equipment monitoring, and safety decision-making—and establishes corresponding layout principles characterized by "accurate coverage, standardized installation, real-time reliability, and data-driven operation". A wind pressure sensor placement method based on the air resistance measurement model is developed, along with a mathematical mapping framework for the "measured data-air resistance inversion" process. Furthermore, an optimal placement model for mine wind speed sensors is constructed using variable fuzzy theory, defining that the distance L between the sensor installation location and the roadway intersection must satisfy L≥4D (where D is the roadway diameter), and the ratio of the average wind speed measurement point height to the roadway height should be approximately 0.056 to 0.062. Numerical simulation and field measurement results demonstrate that the relative maximum errors for airflow rate and air pressure are 4.72% and 8.90%, respectively, validating the feasibility of the proposed sensor layout method for accurate ventilation parameter monitoring.