Soil　environmental　remediation　technology　has　been　an　important　tool　to　solve　environmental　pollution,　and　the　technology　mainly　focuses　on　the　effective　degradation　of　polycyclic　aromatic　hydrocarbons　(PAHs)　organic　substances.　And　this　kind　of　substances　will　volatilize　toxic　substances　during　the　whole　degradation　process,　which　brings　some　difficulty　to　the　research　of　environmental　remediation　process,　but　only　effective　understanding　of　the　degradation　process　can　propose　more　effective　degradation　and　analysis　methods,　so　an　effective　research　method　is　needed　to　complete　the　real-time　monitoring　of　the　whole　degradation　process.　In　this　paper,　we　propose　a　digital　twin-based　visualization　early　warning　and　analysis　system,　which　only　needs　to　collect　images　of　the　experimental　process　to　produce　a　three-dimensional　visualization　twin　platform,　on　which　sensors　can　be　monitored　to　obtain　data,　and　the　data　can　be　analyzed　and　stored　in　real　time.　With　this　system,　effective　monitoring　and　analysis　without　contact　can　be　achieved,　bringing　a　new　effective　monitoring　and　analysis　method　to　environmental　remediation　technology.　The　digital　twin　platform　system　adopts　the　RGB　threshold　limiting　function　of　openCV　to　identify　sub-buildings,　save　the　topology　and　location　information　of　sub-buildings＇　2D　pixel　coordinate　arrays,　reorganize　them　with　1D　arrays　containing　height,　and　then　form　a　3D　digital　twin　base　map　with　almost　zero　cost　and　real-time　change　through　software,　and　then　embed　the　sensor　locations　and　transmitted　data　to　finally　form　A　digital　twin　platform　that　can　display　data　in　real　time　and　monitor　and　warn　in　three　dimensions.　The　study　of　this　system　continues　to　improve　soil　remediation　solutions　by　analyzing　the　results,　giving　early　warnings　by　comparing　the　collected　data　and　thresholds,　and　also　proving　that　interventions　can　be　made　by　mapping　virtual　to　real　in　areas　with　high　levels　of　pollution.　©　2023　SPIE.