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

常方乐; 康孟珍; 王秀娟; 雷加强; 王飞跃

doi:10.11959/j.issn.2096-6652.202150

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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

学术论文 | 更新时间：2024-06-05

- 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
- Windblown sand control decision-making support system based on parallel intelligence: Taklimakan desert highway and its sand-breaking system
- 智能科学与技术学报 2021年3卷第4期页码：499-506
- 作者机构：
  
  1. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京100190
  2. 浙江大学宁波研究院，浙江宁波315100
  3. 中国科学院自动化研究所北京智能技术工程研究中心，北京100190
  4. 中国科学院新疆生态与地理研究所，新疆乌鲁木齐 830011
  5. 中国科学院大学人工智能学院，北京 100049
- 作者简介：
  
  [ "常方乐（1988- ），女，博士，浙江大学宁波研究院助理研究员，主要研究方向为平行智能生态环境系统智能决策、智慧农业、智慧大棚、多传感器数据融合" ]
  [ "康孟珍（1975- ），女，中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员，主要研究方向为平行农业和计算植物" ]
  [ "王秀娟（1982- ），女，中国科学院自动化研究所复杂系统管理与控制国家重点实验室助理研究员，主要研究方向为平行农业和植物建模" ]
  [ "雷加强（1961- ），男，中国科学院新疆生态与地理研究所研究员、博士生导师，中国治沙暨沙业学会副会长、“一带一路”国际科学组织联盟荒漠化防治联盟主任、新疆生地所干旱区防沙治沙与沙产业国家创新联盟理事长、新疆地理学会理事长、《干旱区研究》主编，主要从事风沙环境及防沙治沙研究工作" ]
  [ "王飞跃（1961- ），男，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任，主要研究方向为复杂系统、智能控制、社会计算、平行理论" ]
- 基金信息：
  
  中国科学院战略性先导科技专项（A类）;The Strategic Priority Research Program of the Chinese Academy of Sciences(XDA20030102);中国科学院与泰国科技发展署合作研究基金资助项目;CAS-NSTDA Joint Research Program(GJHZ2076)
- DOI：10.11959/j.issn.2096-6652.202150
  中图分类号： TP18
- 网络出版日期：2021-12，
  
  纸质出版日期：2021-12-15
- 稿件说明：
移动端阅览
常方乐, 康孟珍, 王秀娟, 等. 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[J]. 智能科学与技术学报, 2021,3(4):499-506.

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.
常方乐, 康孟珍, 王秀娟, 等. 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[J]. 智能科学与技术学报, 2021,3(4):499-506. DOI： 10.11959/j.issn.2096-6652.202150.

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. DOI： 10.11959/j.issn.2096-6652.202150.

摘要

针对风沙防护治理系统难以建模、难以解析预测等问题，以塔克拉玛干沙漠公路及其防沙体系为研究对象，提出平行智能风沙防护治理决策支持系统。基于防沙专家常年积累的经验知识，结合实际系统风沙环境信息，模拟风沙防护治理过程，构建沙漠公路防沙体系人工系统；基于计算实验，评估防沙体系人工系统的防沙效果，通过与实际系统进行比较与学习，对系统进行评估与校准；基于平行智能理论，分析风沙防护治理决策支持系统，实现人工系统与实际系统的相互学习、相互借鉴，为风沙防护治理提供决策支持，促进风沙环境可持续化发展。

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.

关键词

Keywords

references

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