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FOREST RESOURCES WANAGEMENT ›› 2019, Vol. 0 ›› Issue (5): 136-144.doi: 10.13466/j.cnki.lyzygl.2019.05.021

• Technical Application • Previous Articles     Next Articles

Design and Application of Decision Supporting System for Forest Tending Operation Plan

JING Hui(), WANG Wukui(), ZHANG Jingran   

  1. School of Economics and Management,Beijing Forestry University,Beijing 100083,China
  • Received:2019-09-10 Revised:2019-10-13 Online:2019-10-28 Published:2020-09-18
  • Contact: WANG Wukui E-mail:pearlzing@163.com;wangwukui@bjfu.edu.cn

Abstract:

In the context of natural forest protection,forest tending is currently the main mode of forest management,and the implementation of forest tending can promote the effective growth of forest stocks.Due to the weak management of the primary management unit,the unit area of forest resources in China is still at a low international level,and the forest management effect is not good.According to our country northeast area forest tending present situation,this paper designs the decision supporting system of the forest tending plan,which is used to assist the manager in the allocation of forest tending plan and the formulation of forest tending plan.Based on the idea of process management,this paper sorts out the forest tending business in Northeast China and establishes a model for decision makers and decision-making processes.A combination of production and framework is used to represent the knowledge used to determine the tending method,and a knowledge base and inference engine are constructed.The Activiti platform,which reflects the idea of process management,is used as the process engine to complete the system construction.It solves the problem of the distribution of tending funds in each operation forest farm,the positioning of small shifts and the choice of operation methods,and effectively improves the informationization level of forest tending operation plan and decision-making.

Key words: forest tending, decision supporting system, process management, data integration, forestry informationization

CLC Number: