1. 水利部水土保持监测中心,北京,100053
2. 塔里木大学植物科学学院,新疆,阿拉尔,843300
[ "姜德文(1959-),男,博士,二级教授,主要从事水土保持与生态保护研究。E-mail:jiangdw888@sina.com" ]
纸质出版:2021
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姜德文, 蒋学玮, 周正立. 人工智能对水土保持信息化监管技术支撑[J]. 水土保持学报, 2021,35(4):1-6.
JIANG Dewen, JIANG Xuewei, ZHOU Zhengli. Technical Support of Artificial Intelligence for Informatization Supervision of Soil and Water Conservation[J]. 2021, 35(4): 1-6.
姜德文, 蒋学玮, 周正立. 人工智能对水土保持信息化监管技术支撑[J]. 水土保持学报, 2021,35(4):1-6. DOI: 10.13870/j.cnki.stbcxb.2021.04.001.
JIANG Dewen, JIANG Xuewei, ZHOU Zhengli. Technical Support of Artificial Intelligence for Informatization Supervision of Soil and Water Conservation[J]. 2021, 35(4): 1-6. DOI: 10.13870/j.cnki.stbcxb.2021.04.001.
生产建设项目水土保持信息化监管是全国各地水土保持强监管、保护生态环境的重要职责和重点工作,面对覆盖全国、数量巨大、年度多次的监管重任,监管工作及技术方法遇到了人工复核工作量大、识别分析难、快速精准监管效能低等瓶颈制约,迫切需要以人工智能为核心的高新技术支撑,破解技术难题。通过对遥感影像光谱信息、纹理结构等特征分析,影像特征增强技术,各类项目占地、土石方挖填量与弃渣量、建设工期、水土流失影响程度等级等大数据辅助,经过全面、精细、智能深度学习,同时运用发改、国土资源、城乡建设、环保、林业、水利、交通、电力等部门的相关信息大数据,通过关联分析,实现对生产建设项目的智能化识别。通过对项目特定的必备配套设施智能关联分析判别、相关图斑的归集,智能分析同一项目相关图斑的判别与归集。综合应用人工智能、大数据、云计算、互联网、物联网等高新科技,提高对"未批先建""未验先投""未批先弃"等违法违规行为的智能化、精准化判别率。为提升精准监管效率与效能,应加强水土保持重要敏感区的大数据智能支持,重点监管项目的智能跟踪,水土流失危害重点问题监控,细化项目开工前期、施工过程、工程完工3个时段的关键水土保持措施跟踪监管,更加及时、有效地全面支撑水土保持检查、监督、执法,全面提升监管效率与水平,促进生态优先、绿色发展,为国家高质量发展提供重要支撑和保障。
Informatization Supervision of soil and water conservation for production and construction projects is an important responsibility and key work for strong supervision of soil and water conservation and protection of ecological environment all over the country
the supervision work and the technical method have met the bottleneck restriction such as the heavy workload of artificial check
the difficulty of identification and analysis
the low efficiency of fast and accurate supervision and so on. Based on the analysis of the spectral information and texture structure of remote sensing image
the technology of image feature enhancement
assisted by large data
such as land use of various projects
earth and rock excavation
amount of waste
construction period
degree of influence of soil erosion and water loss
etc. after comprehensive
detailed and intelligent deep learning
and at the same time using relevant information and big data from development and reform
land and resources
urban and rural construction
environmental protection
forestry
water management
transportation
electric power and other departments
through related analysis
realization of intelligent identification of production and construction projects. Through the intelligent correlation analysis of the special necessary facilities of the project
the relevant map spots of the same project to merges. Apply High and new technologies such as artificial intelligence
big data
cloud computing
Internet of things
we will improve the rate of intelligent and accurate discrimination against illegal and illegal activities
such as "construction before approval"
"Put into production before acceptance check" and "discard before approval". In order to improve the efficiency and effectiveness of precise supervision
it is necessary to strengthen the intelligent support of big data
the intelligent tracking of key supervision projects
and the supervision of key issues of soil erosion and water loss hazards in important sensitive areas of soil and water conservation
detailed monitoring of key soil and water conservation measures during the three periods of project start-up
construction process and project completion
so as to provide more timely and effective support for soil and water conservation inspection
supervision and law enforcement
and comprehensively enhance the supervision efficiency and level
to promote ecological priority and green development
to provide important support and guarantee for the country's high-quality development.
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