基于多模态大模型的水利场景智能巡检系统研发OA

To address the limitations of manual inspection in water conservancy facilities,including low efficiency,limited coverage,and high safety risks,this study developed an unattended intelligent inspection system based on multimodal large models for water conservancy scenarios.The system was built around the Skysys MkY2 intelligent hangar and the Xingqi industry-grade drone as core hardware,adopting a five-layer architecture of"perception,execution,scheduling,platform,and intelligence".At the intelligent perception level,a heterogeneous collaborative driving mechanism consisting of"one super brain+N domain experts+knowledge base"was designed:a multimodal large language model served as the global semantic parsing hub,endowing the system with scene understanding and fuzzy decision-making capabilities;lightweight vertical models(e.g.,dam crack extraction,seepage identification,water level reading,and floating object classification)acted as precision execution units;a structured water conservancy knowledge base provided traceable professional explanations.This mechanism bridged the technical gap between the semantic generalization of general-purpose models and the fine-grained metrics of specialized models,elevating the monitoring logic from"target detection"to"situational awareness".The system also integrated a multi-drone collaborative scheduling module based on an improved genetic algorithm and a three-tier progressive flight planning framework,enabling 7×24 unattended operation.Pilot tests in two types of scenarios of reservoir dam safety monitoring and routine river patrols demonstrate that compared with traditional manual inspection,intelligent drone inspection improves efficiency by 167%,expands spatial coverage from about 60%to full area without blind spots,increases the success rate of potential hazard identification from 70%to over 95%,reduces the probability of safety incidents in operational zones by 90%,and cuts comprehensive operational costs by approximately 50%.This system provides a new technological paradigm for smart water conservancy systems,integrating general-purpose artificial intelligence with domain-specific knowledge.