Study Of Key Technology In Mechanized Breeding Production Information Integration Service Platform For Rapid-growing And High-yield Forest

Rapid-growing and high-yield forest has the characteristics of short growing cycle and high output, and is a favorable way to solve the contradiction between supply and demand in forestry and to protect the ecological environment and biodiversity. In recent years, China has increased the base investment in the construction of rapid-growing and high-yield forest. However, forest farmers and logging enterprises lack effective directions of specialists in the process of forest breeding. In this background, this paper established mechanized breeding production information integration service platform for rapid-growing and high-yield forest and proposed a method of knowledge mangement and inference modeling by network application. Based on the method, we established expert advisory system, mechanized breeding production system, the component of growth-model forecast and accumulation accounting model, insect pest prevention system in breeding rapid-growing forest. This study is supported by The 11th Five Years Key Programs for Science and Technology Development of China. The main contents in the present study were shown as follows:After analyzing weakness and flaw of traditional table structure-oriented modeling in the process of dealing with multi-thematic information on web, the flexible modeling information storage method, flexible knowledge management and flexible reasoning were researched. A new flexible modeling for knowledge management and inference was proposed in this paper. This method can be used in different systems of the platform and enhance the ability of expansibility and flexible capacity.The softwares were constructed by including Breeding Consultation Expert System for Rapid-growing and High-yield Forest (BCES); Mechanization Production Expert System for Rapid-growing and High-yield Forest (MPES); The Stand Growth Prediction and Calculating Component for Rapid-growing and High-yield Forest (SGDPCC); Pest Prevention Expert System for Rapid-growing and High-yield Forest (PPES); WebGIS and Portal Integration Platform for Rapid-growing and High-yield Forest (WPIP).The BECS selected larch as materials, and it can be divided into the process of Strip-Clearing; Soil Preparation; Digging Holes; Delivering Seedlings; Planting Seedlings; Tending Felling Method and Cutting Method. Based on the inference in different processes, the system can provide consultation service for different condition parameters. The flexible inference was used in this process to integrate all the breeding consultation process.The MPES is divided into the process of Digging Holes Machinery, Forestation Machinerym, Tending Felling Machinerym and Motivity Machinery selecting and equipping process. All these reasoning process were integrated with an integration method based on flexible reasoning, and an algorithm for the machinery selecting and equipping was also proposed.Linkou Forestry Bureau, Heilongjiang Province, China was selected as the demonstration plot, and the whole stand model and single entry volume table for Heilongjiang province were researched, SGDPCC was established. It can predict the forestry growth and calculate the stock accumulation for single tree. Moreover, model management module was constructed for maintenance of the entire model modules.The insect pest prevention integrated expert system was established on the basis of prediction models for pest diagnosis, pest occurrence period, infecting quantity, disease prevention and control, damage assessment in the northeast of China. This system can provide services for the users by utilizing the component of cubic measurement and accounting model, and predict the loss of pest caused standing stock and the prevention benefits.WPIP integrated the BECS, MPES, PPES and SGDPCC for the whole information platform. WebGIS showed the visualization of geographic service and predicted results from model modules in visualization maps. It also showed the dynamic regularity for forestry changes with diversification pattern to ensure that decision-makings are scientific and rational. The portal technology was used to combine the all the applications as an entire system, it can provide the unite operator site and back-stage information management.The present research findings provide theory guidance and support of advanced technology for a large number of foresters and logging enterprises in constructing rapid-growing and high-yield forest, and take a good example for digital forest construction. Moreover, the platform constructed in this paper represents a useful effort for other application areas like agriculture or water conservancy.