平行智能风沙防护治理决策支持系统——塔克拉玛干沙漠公路及其防沙体系

doi:10.11959/j.issn.2096-6652.202150

Abstract

Abstract:

Using Taklimakan desert highway and its sand-breaking system as the research object for complex system management and control, the ACP-based parallel intelligence theory to deal with the problems of the difficulty in modeling, analyzing, and predicting of sand-breaking system was applied, to realize the intelligent decision support for sand-breaking system management and control, support the sustainable development of aeolian environment.The expert experience knowledge to construct the artificial desert highway sand-breaking system was extracted by simulating physical process.The sand-control efficiency index of the artificial system was calculated using equations, then evaluated and modified by comparing and learning with the actual system.Using parallel intelligent theory, the artificial system and the actual system can learn from each other to provide decision support for sand control.

Key words: parallel intelligence, computational experiment, desert highway sand-breaking system, decision support

CLC Number:

TP18

Fangle CHANG, Mengzhen KANG, Xiujuan WANG, et al. Windblown sand control decision-making support system based on parallel intelligence: Taklimakan desert highway and its sand-breaking system[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 499-506.

Figures/Tables 5

References 35

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Windblown sand control decision-making support system based on parallel intelligence: Taklimakan desert highway and its sand-breaking system

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