System Analysis Of Agricultural Mechanization And Research On Intelligent Decision Support System

In systematics opinion, agricultural mechanization, which is a complex technical, economic and social system, is an open loop system. The system is connected with its external environment in input, output and information feedback. Therefore, development of agriculture mechanization is influenced and restricted by sorts of factors which includes production resources, economic environment, social environment, agriculture equipment and operational level. Development of agriculture mechanization is a complex project involved technology, economics and society.Based on systematics, the research employed system project theory and method, used qualitatively and quantitatively combined, combining theory with practice. Theory and cybernetics, operations research, management science, information science, computer science and other basic theories were applied in the research.Basic concept, system characteristics of agriculture mechanization, and structure, environment factors, target system of the system were analyzed as application of system analysis. The analysis defined the structure features, development environment factors, and functional goal which are of agricultural mechanization system.As the characters that impact factors of agriculture mechanization system are multiple in levels and complex in structure, hierarchically influence factors model of agricultural mechanization system was established with system structure modeling technology applied. Meanwhile, influence factors of agriculture mechanization system were analyzed based on structure. The relationship between a methodical, systematic and hierarchical structure and the progressive relationship of four levels were defined. Systematic dynamics analysis and system simulation were processed based on the establishment of system dynamics model of agricultural mechanization system in Henan province. rural labor transfer, land business scale, per capita income of farmers in Henan province were simulated, and the simulation of which are changing status of influence factors was processed. Moreover, agricultural funds inputs, which were policy parameters on the influence degree of the agricultural mechanization levels, were simulated.For the problem in evaluation of agriculture mechanization, the agricultural mechanization level evaluation system was established. Meanwhile, many kinds of evaluation method, like integrated variable fuzzy theory, principle component analysis, development chromatography, projection pursuit technology, clustering analysis, were applied in the evaluation of agriculture mechanization development. This improved the rationality of evaluation and supply theoretical basis for policy making. Effects of agricultural mechanization development, which include per capita net income, agricultural labor value, labor production, labor management scale and agriculture labor, were analyzed based on grey theory. Meanwhile, this paper established the input-output model of agriculture mechanization, analyzed the contribution degree of agriculture production and discuss new algorithms of fractional programming.Multi-agent development platform was designed. Agricultural mechanization system analysis and evaluation were fused. Agricultural mechanization decision support system was established based on multi-agent theory. Simulation and prediction of agriculture mechanization in Henan province were implemented. At last, space visual display of agriculture mechanization information was implemented. These improved the informatization management of agriculture mechanization.Based on analysis and evaluation of Henan agriculture mechanization, suggestion of agriculture mechanization development was supplied.In this study, some research results, which include agriculture mechanization system dynamic analysis, construction of comprehensive assessment system, design of agriculture mechanization decision supported system, were achieved.