The　discharge　of　excessive　nuclear　sewage　by　Japan　in　the　Pacific　region　along　with　other　emergencies　have　precipitated　an　unprecedented　global　water　safety　crisis.　Safeguarding　the　fundamental　right　to　human　survival　necessitates,　the　detection,　evaluation,　and　intervention　of　nuclear　pollution　in　natural　environments,　making　it　a　paramount　concern　for　nations　worldwide.　The　utilization　of　drones　for　remote,　non-contact　detection　of　nuclear　radiation,　in　conjunction　with　intelligent　technologies　like　trajectory　planning　and　parameter　inversion,　holds　immense　promise　in　establishing　a　remote　perception　system　for　active　defense　against　nuclear　radiation.　This　research　undertook　the　construction　and　simulation　of　a　remote　detection　system　for　nuclear　radiation　cumulonimbus,　leveraging　quantitative　perception　and　parameter　inversion　capabilities　of　unmanned　aerial　vehicles.　The　resulting　form　of　nuclear　radiation　perception　manifested　as　a　parameter　inversion　heat　map,　and　its　feasibility　and　effectiveness　were　rigorously　examined　through　performance　evaluation.　Building　upon　this　foundation,　our　research　proposes　two　trajectory　planning　algorithms　and　one　radiation　visual　warning　algorithm　to　enable　flight　control　and　perception　representation　within　a　nuclear　radiation　remote　sensing　system.　The　AnyLogic　software　was　employed　to　simulate　the　aforementioned　presets　and　algorithms,　followed　by　systematic　evaluation　utilizing　the　proposed　performance　evaluation　method.　The　results　demonstrate　that,　within　the　developed　Chinching　system,　both　W-Type　Cruise　and　V-Type　Cruise　effectively　accomplish　flight　detection　and　parameter　inversion　tasks.　However,　from　a　performance　evaluation　perspective,　the　W-Type　Cruise　exhibits　superior　overall　performance　and　can　be　designated　as　the　standard　cruise　mode　for　the　system.　©　2023　IEEE.