Wildfires　occur　frequently　in　various　regions　of　the　world,　causing　serious　damage　to　natural　and　human　resources.　Traditional　wildfire　prevention　and　management　methods　are　often　hampered　by　monitoring　challenges　and　low　efficiency.　Digital　twin　technology,　as　a　highly　integrated　virtual　simulation　model,　shows　great　potential　in　wildfire　management　and　prevention.　At　the　same　time,　the　virtual-reality　combination　of　digital　twin　technology　can　provide　new　solutions　for　wildfire　management.　This　paper　summarizes　the　key　technologies　required　to　establish　a　wildfire　digital　twin　system,　focusing　on　the　technical　requirements　and　research　progress　in　fire　detection,　simulation,　and　prediction.　This　paper　also　proposes　the　wildfire　digital　twin　(WFDT)　model,　which　integrates　real-time　data　and　computational　simulations　to　replicate　and　predict　wildfire　behavior.　The　synthesis　of　these　techniques　within　the　framework　of　a　digital　twin　offers　a　comprehensive　approach　to　wildfire　management,　providing　critical　insights　for　decision-makers　to　mitigate　risks　and　improve　emergency　response　strategies.