Chinching: A Remote Detection System for Nuclear Radiation Cumulonimbus Based on UAV Quantitative Sensing and Parameter Inversion

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.