The　combustion　status　is　one　of　the　key　controlled　variables　in　the　municipal　solid　waste　incineration　(MSWI)　process.　At　present,　the　actual　industrial　process　mainly　relies　on　domain　experts　to　observe　the　flame　image.　By　using　such　manual　mode,　it　is　easy　to　cause　the　instability　of　the　MSWI　process　and　lead　to　the　increase　of　pollution　emission　concentration.　The　complexity　of　the　MSW　composition　can　lead　to　the　characteristics　of　the　flame　in　the　furnace,　such　as　large　brightness　difference　and　motion　blur.　To　solve　these　problems,　this　article　proposes　a　method　for　combustion　status　recognition　of　the　MSWI　process　based　on　flame　image　by　using　YOLOv5.　The　method　uses　backbone　for　feature　extraction　and　uses　the　head　layer　for　status　recognition.　The　experimental　result　shows　that　the　proposed　method　has　higher　accuracy　than　Alexnet,　Vggnet,　Googlenet　and　other　algorithms.　©　2024　IEEE.