风沙防治系统,平行智能,计算实验,植物措施,三维地理信息可视化 ," /> 风沙防治系统,平行智能,计算实验,植物措施,三维地理信息可视化 ,"/> Framework and Function of Aeolian Sand Parallel Prevention and Control: Application of Artificial Intelligence Technology in Sand Prevention and Control

Arid Zone Research ›› 2019, Vol. 36 ›› Issue (6): 1576-1583.

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Framework and Function of Aeolian Sand Parallel Prevention and Control: Application of Artificial Intelligence Technology in Sand Prevention and Control

CHANG Fang-le1, 2, KANG Meng-zhen1, 2, WANG Xiu-juan1, 2, WANG Yong-dong3, LEI Jia-qiang3, WANG Fei-yue1, 4   

  1. 1. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
    2. Innovation Center for Parallel Agriculture, Qingdao Academy of Intelligent Industries, Qingdao 266109, Shandong, China;
    3. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China;
    4. Beijing Center of Intelligent Technology Engineering Research, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

  • Received:2019-05-27 Revised:2019-09-03 Online:2019-11-15 Published:2019-11-15
  • Contact: mengzhen.kang@ia.ac.cn;leijq@ms.xjb.ac.cn

Abstract: Aeolian sand is complex, changeable and hard to predict and assess, and its prevention and control is time-consuming. Currently, the simulation system of aeolian sand prevention and control is mainly based on the physical-process modeling. The model prediction results are generally far away from the real results due to the low-accurate measured result of aeolian sand activities. In this paper, a new system based on the ACP (Artificial Societies + Computational experiments + Parallel systems) approach was introduced. Based on the physical principle of sand movement, the system could be used to predict the different windproof effects of aeolian sand by applying the artificial intelligence for different managements (such as vegetation planting). The system could provide the decision support for the prevention and control projects of aeolian sand hazards through developing the model driven by the knowledge and data to simulate and predict the performance of windproof of aeolian sand and building the three-dimensional sense visualization.

Key words: windproof system, aeolian sand, parallel intelligence, computational experiment, vegetation planting, three-dimensional geographic scene visualization