Air　quality　is　related　to　human　health　and　has　received　more　and　more　attention　in　recent　years.　Long-Term　exposure　to　polluted　environments　can　lead　to　various　respiratory　diseases.　Air　detection　can　help　us　to　monitor　the　air　quality　of　the　environment　in　real　time　and　plays　a　vital　role　in　disease　prevention.　In　this　paper,　we　propose　a　new　method　to　detect　air　quality　based　on　STM32　microcontroller,　which　can　improve　the　accuracy　of　real-Time　monitoring.　The　data　set　was　collected　by　terminal　sensors　including　variables　particle　concentration　and　carbon　dioxide　concentration,　and　is　sent　to　the　host　computer　in　real　time　through　the　LORA　technology　to　monitor　the　air　quality　status　of　the　site.　The　results　verify　the　effectiveness　of　proposed　method　for　real-Time　detection,　the　air　quality　monitoring　coverage　is　extended　by　this　means.　©　2022　IEEE.