Research And Construction Of Knowledge Algorithm Model Base System For Artificial Forest Management

In the process of preparing the forest management plan,the forestry production unit needs to support the decision-making support system of the plantation forest to support the preparation of the management plan in order to ensure the scientific and operability of the plantation management plan.In the artificial forest management assistant decision support system,the knowledge base,algorithm library and model library of plantation management are important components.This paper analyzes the current research situation of the management decision-making knowledge and knowledge base of artificial forest,the management decision-making algorithm and algorithm base of artificial forest,and the management decision-making model and model base of artificial forest.1 Research on the needs of the knowledge base,algorithm library and model library system for plantation management,design the system architecture,adopt B/S architecture,based on distributed architecture,design system function modules,for artificial The requirements of forest management decision-making,design knowledge management,model management,algorithm management,knowledge service,model service and algorithm service six functions.2 Combine eight types of plantation management knowledge such as forest function operation method,forest type operation method and small class operation method,design the knowledge base of plantation management decision-making;sort out the growth and harvest model,site evaluation model and other types of plantation management decision model,and model It is divided into mathematical formula model and program type model,respectively designing the structure of two expression form models,designing the relationship structure of plantation forest management decision model library;combing plantation management algorithms,including statistical learning algorithms and machine learning algorithms,using.R File storage plantation management decision support algorithm,design algorithm library relationship structure,including algorithm library table structure design and algorithm library design.3 Research and build a knowledge algorithm model library system for plantation management,use Java to connect to the database for knowledge base management,model library management and algorithm library management;develop knowledge service model and function flow,provide knowledge API call interface and page Call,design knowledge service data interaction structure;research model service mode and function flow,provide model API call and page call,design model analysis service flow and give model analysis example;research algorithm service mode and function flow,provide algorithm API Calls and page calls,using Java to connect R algorithms for algorithm parsing.Provide technical support for plantation assistance decision-making.