人工智能赋能森林康养产业的技术基础与实现机制OA

In order to address issues in current forest wellness industry,such as unstable service effectiveness,insufficient personalized provision and weak capacity for safety risk management and control,from artificial in-telligence(AI)empowerment perspective,technological foundations of AI empowerment in forest wellness in-dustry was systematically reviewed,and its functional boundaries and practical constraints in forest wellness scenarios were analyzed.Intelligent management platform architecture for entire operational process of forest wellness industry was constructed.Multi-model collaborative mechanism including decision trees,cosine simi-larity and deep reinforcement learning was proposed.Data acquisition,data analysis,decision support,com-mand and dispatch and effect evaluation modules were designed.These modules were intended to achieve dy-namic regulation of visitor health status,understory environmental conditions and wellness resource allocation.It was expected that framework would promote transformation of forest wellness from experience-driven to intel-ligence-driven development,strengthen coordinated regulation capability of wellness activities-ecological car-rying,and facilitate perceptibility and sustainable transformation of forest wellness value.