A　type　of　ventilation　method,　multi-module　adaptive　ventilation,　hereinafter　referred　to　as　MAV,　is　proposed.　At　the　same　time,　it　studies　to　control　the　diffusion　of　pollutants　in　classroom　buildings　when　facing　with　changes　in　indoor　scenes　and　changes　in　the　location　of　pollution　sources　and　the　ability　to　remove　contaminants.　Computational　fluid　dynamics　technology　was　used　to　simulate　the　distribution　of　pollutants　in　the　classroom　in　normal　class　and　group　discussion　scenarios,　and　to　change　the　location　of　pollution　sources　in　the　normal　class　scenario.　The　tracer　gas　(CO2)　was　used　to　simulate　the　pollutants　produced　by　the　cough　of　an　infected　person.　Five　different　MAV　modes　and　conventional　mixed　ventilation　(MV)　modes　were　selected　to　compare　their　pollutant　concentrations　and　removal　rates　in　the　respiratory　zone　of　personnel　in　the　face　of　different　pollutant　source　locations　and　different　scenarios　in　the　classroom.　Results　show　that　the　relative　concentration　of　pollutants　in　the　breathing　zone　is　lower　and　the　exclusion　rate　is　higher　with　the　appropriate　MAV　mode,　in　which　the　pollutant　removal　rate　(CRE)　in　the　breathing　zone　of　the　MAV　parallel　mode　is　7.　52　times　that　of　the　MV　mode　in　the　group　discussion　scenario　and　the　location　of　the　pollutant　source　is　P3,　and　the　relative　pollutant　concentration　Cr　in　the　breathing　zone　is　52.　4%　of　that　in　the　MV　mode,　indicating　that　the　appropriate　MAV　mode　can　better　adapt　to　the　scenario　and　the　change　of　pollutant　source　location.　©　2024　Beijing　University　of　Technology.　All　rights　reserved.