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Decision System For Optimizing Tree-length Scaling System

Posted on:2008-08-13Degree:DoctorType:Dissertation
Country:ChinaCandidate:J D MaFull Text:PDF
GTID:1103360215993805Subject:Forest Engineering
Abstract/Summary:PDF Full Text Request
Tree-length scaling is the key operation in the forest Industry. Whether the scaling is true or not, it determines the reasonableness of the tree-length bucking, determines the final value of the logs, affects the quality and price of the products, and influences the efficiency and utilization of the forest sources. Now, the forest resources are limited and enterprises have little financial profits in our forestry industry. The only path to overcome this problem is the complete uses of the forest resources. The research and application of Tree-length Scaling System can improve the productivity and is an important work to solve forestry industry difficulties.On the basis of narrations of the present researches of tree-length scaling in domestic and overseas countries, this dissertation analyzed the fruits in this domain, studied the optimization models and theories, which were the application of operation research branches, including linear programming, dynamic programming, and network analyzing theory. In the dissertation, the valued and directed network theory fitting for the actual practices in our country was analyzed fully. Tree-length scaling and bucking belonged to the maximum path problem of networks in this domain. The concrete solutions—labelling method and Dijkstra algorithm were both analyzed. After comparing these algorithms, we found that labelling method was more suitable, but application of it was very hard. In this dissertation, the algorithm was improved; a new method—backward labelling method was put forward. The new algorithm was suitable for the computer programming and could quicken the speed of the program.In the process of tree-length scaling, the certain weight that is the value of the log between two random labels was the obstacle. In this process of scaling, many factors, such as log defects, log standards, log grades, log prices and log asortmentss, affected the scaling. To solve these problems, the system established mathematics models of frequent log defects. This system designed the two-direction link as the log defects storage structure; raised the speed of the program. To easily retrieve log price, ADO technology was used, it made the program more modularized. To easily input and feedback the data, the graphical interface was adopted, which accomplished visualization. The system first solved the tree-length scaling problem, combining the forestry practices and models of the log defects in our country.In the process of tree-length scaling, to represent the characteristics of the tree, the system used OpenGL technology and drew the three-dimension graphics. The system also provided three-dimension interactive operations. Users could directly operate the graphic objects. To represent the inner defects in the log, users could pick the graphic objects with the mouse. It was the first time that solving optimized tree-length scaling with graphical technology.The system was programmed by Visual Basic6. 0, ADO technology and OpenGL technology, and could be run in Windows2000/WindwsXP. This system could operate easily, calculate quickly, maintain friendly, and could apply in forestry enterprises broadly. This system could improve the productivity and increase the financial profits of enterprises. This system was proved to be completely feasible by the actual experiments. Contrasted the two projects of man-made scaling and optimized scaling, this system could raise the financial profits of enterprises.
Keywords/Search Tags:tree-length scaling, optimization, backward labelling method, decision system
PDF Full Text Request
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