基于“大智物云”的土壤与地下水修复智慧平台设计研究

孙同; 何梦溪; 何理; 金涛

doi:10.12153/j.issn.1674-991X.20230255

基于“大智物云”的土壤与地下水修复智慧平台设计研究

doi: 10.12153/j.issn.1674-991X.20230255

孙同^{1, 2,},
何梦溪^{1, 2},
何理^{1, 2, ,},
金涛³

1.
天津大学水利工程仿真与安全国家重点实验室
2.
天津大学建筑工程学院
3.
中建生态环境集团有限公司

基金项目: 国家重点研发计划项目(2020YFC1807904)；中建股份科技研发项目（CSCEC-2021-Z-45）；天津市研究生科研创新项目（2022BKY103）

详细信息

作者简介:
孙同(1994—)，男，博士，主要从事水土环境修复研究，2269406606@qq.com

通讯作者:
何理(1976—)，教授，博士，主要从事水土环境修复与水环境研究，helix111@tju.edu.cn

中图分类号: X84
计量
- 文章访问数: 286
- HTML全文浏览量: 137
- PDF下载量: 55
- 被引次数: 0
出版历程
- 收稿日期: 2023-03-31
- 录用日期: 2023-07-31
- 修回日期: 2023-05-05

Research on designing an intelligent platform for soil and groundwater remediation based on big data, intelligent control, IoT and cloud computing

SUN Tong^{1, 2
,},
HE Mengxi^{1, 2},
HE Li^{1, 2
, ,},
JIN Tao³

1.
State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University
2.
School of Civil Engineering, Tianjin University
3.
China Construction Eco-Environmental Group Co., Ltd.

摘要

摘要:
为顺应国家“加快产业转型升级，推进绿色低碳发展”的要求，针对当前土壤与地下水修复存在的智能化水平不高、信息通信建设程度低、决策和施工不协调、工作效率低等问题，按照现存问题分析—总体架构设计—关键技术应用的思路，将新信息技术（IT）和操作技术（OT）相结合，充分利用大数据、物联网、云计算、智能控制等技术解决现存工程问题，设计了基于“大智物云”的土壤与地下水修复智慧平台，可实现污染场地多源异构数据采集、大数据实时交换、云计算和虚拟工厂在线管理等功能，通过多层次数字化转型，助力土壤与地下水全流程修复的目标，推动行业智能化和低碳化发展。
- 大数据 /
- 物联网 /
- 5G /
- 云平台
Abstract:
To comply with national requirements of accelerating industrial transformation and upgrading, and promoting green and low-carbon development, and solve the problems of low level of intelligence, low degree of information and communication construction, incoordination between decision-making and construction, low efficiency in contaminated site remediation, an intelligent platform for soil and groundwater remediation was constructed according to the thinking of "existing problems analysis, overall architecture design, and the application of key technologies" and in combination with new information technology (IT) and operational technology (OT). The platform was designed based on big data, intelligent control, Internet of things (IoT) and cloud computing, and made full use of new technologies including big data, IoT, cloud computing and intelligent control to solve the existing engineering problems, and could realize big data acquisition, big data exchange, cloud computing and digital twin simulation. Through multi-level digital transformation, it helped achieve the goal of soil and groundwater remediation in the whole process, and promoted the intelligent and low-carbon development of the industry.
- big data /
- Internet of things (IoT) /
- 5G /
- cloud platform

HTML全文

图 1 土壤与地下水智慧修复总体路线

Figure 1. Overall technical route for intelligent remediation of soil and groundwater

下载: 全尺寸图片幻灯片

图 2 “大智物云”修复平台详细架构

Figure 2. Detailed architecture of the platform based on big data, intelligent control, IoT and cloud computing

下载: 全尺寸图片幻灯片

图 3 平台数据库多接口访问方式

Figure 3. Multi-interface access to the platform database

下载: 全尺寸图片幻灯片

图 4 虚拟工厂三维图

Figure 4. Virtual factory 3D map

下载: 全尺寸图片幻灯片

参考文献(21)

[1]	高举中国特色社会主义伟大旗帜为全面建设社会主义现代化国家而团结奋斗: 习近平同志代表第十九届中央委员会向大会作的报告摘登[N]. 人民日报, 2022-10-17(2).
[2]	工业和信息化部. 《“十四五”智能制造发展规划》解读[EB/OL]. (2021-12-28)[2023-03-14]. https://www.miit.gov.cn/zwgk/zcjd/art/2021/art_de39a4f0836b42ce91ceee9e9dae7164.html.
[3]	侯德义.我国工业场地地下水污染防治十大科技难题[J]. 环境科学研究,2022,35(9):2015-2025. doi: 10.13198/j.issn.1001-6929.2022.04.18 HOU D Y. Ten grand challenges for groundwater pollution prevention and remediation at contaminated sites in China[J]. Research of Environmental Sciences,2022,35(9):2015-2025. doi: 10.13198/j.issn.1001-6929.2022.04.18
[4]	CIAMPI P, ESPOSITO C, PETRANGELI PAPINI M. Hydrogeochemical model supporting the remediation strategy of a highly contaminated industrial site[J]. Water,2019,11(7):1371. doi: 10.3390/w11071371
[5]	骆永明, 滕应.中国土壤污染与修复科技研究进展和展望[J]. 土壤学报,2020,57(5):1137-1142. LUO Y M, TENG Y. Research progresses and prospects on soil pollution and remediation in China[J]. Acta Pedologica Sinica,2020,57(5):1137-1142.
[6]	王红梅, 吴健芳, 田自强, 等.土壤污染物健康风险评价技术现状及发展趋势[J]. 环境工程技术学报,2023,13(2):778-784. doi: 10.12153/j.issn.1674-991X.20220027 WANG H M, WU J F, TIAN Z Q, et al. Status and development trend of soil pollutant health risk assessment technology[J]. Journal of Environmental Engineering Technology,2023,13(2):778-784. doi: 10.12153/j.issn.1674-991X.20220027
[7]	国务院. 土壤污染防治行动计划[A/OL]. (2016-05-31)[2023-03-14]. http://www.gov.cn/zhengce/content/2016-05/31/content_5078377.htm.
[8]	全国人民代表大会常务委员会. 中华人民共和国土壤污染防治法[A/OL]. (2020-08-31)[2023-03-14]. http://www.gov.cn/xinwen/2018-08/31/content_5318231.htm.
[9]	SONG Y N, HOU D Y, ZHANG J L, et al. Environmental and socio-economic sustainability appraisal of contaminated land remediation strategies: a case study at a mega-site in China[J]. Science of the Total Environment,2018,610/611:391-401. doi: 10.1016/j.scitotenv.2017.08.016
[10]	李雅丽, 张红娟, 闫海琴, 等.近20年全球农业生产对地下水影响研究的热点与趋势[J]. 环境工程技术学报,2022,12(4):1086-1095. doi: 10.12153/j.issn.1674-991X.20210357 LI Y L, ZHANG H J, YAN H Q, et al. Research hot spots and trends on the impacts of global agricultural production on groundwater in the past two decades[J]. Journal of Environmental Engineering Technology,2022,12(4):1086-1095. doi: 10.12153/j.issn.1674-991X.20210357
[11]	侯德义, 张凯凯, 王刘炜, 等.工业场地重金属污染土壤治理现状与展望[J]. 环境保护,2021,49(20):9-15. doi: 10.14026/j.cnki.0253-9705.2021.20.002 HOU D Y, ZHANG K K, WANG L W, et al. Current status and prospect for the remediation of heavy metal contaminated industrial sites[J]. Environmental Protection,2021,49(20):9-15. doi: 10.14026/j.cnki.0253-9705.2021.20.002
[12]	何理, 孙同, 叶威, 等. 一种污染场地智能修复系统及修复方法: CN113426816B[P]. 2022-12-13.
[13]	周龑, 余泽华, 张家铭, 等. 治理污染土壤和地下水的智能化多相抽提水位监控装置: CN217964073U[P]. 2022-12-06.
[14]	陆晓松, 王国庆, 李勖之, 等.场地环境大数据采集和机器学习方法在污染智能识别中的应用研究进展[J]. 生态与农村环境学报,2022,38(9):1101-1111. doi: 10.19741/j.issn.1673-4831.2021.0668 LU X S, WANG G Q, LI X Z, et al. Research progress of big data of site environment acquisition and machine learning method in pollution intelli-Gent identification[J]. Journal of Ecology and Rural Environment,2022,38(9):1101-1111. doi: 10.19741/j.issn.1673-4831.2021.0668
[15]	王夏晖.大数据: 场地污染智能识别与风险精准管控驱动力[J]. 环境保护,2019,47(13):13-16. WANG X H. Intelligent identification and precise risk control of site pollution driven by big data[J]. Environmental Protection,2019,47(13):13-16.
[16]	呼红霞, 丁贞玉, 徐怒潮, 等.污染场地风险管控与修复效果评估实践中的挑战和监督管理[J]. 环境保护,2021,49(20):16-20. doi: 10.14026/j.cnki.0253-9705.2021.20.001 HU H X, DING Z Y, XU N C, et al. Challenges in the practice of risk control and remediation effectiveness assessment of contaminated sites and recommendations on supervision and management[J]. Environmental Protection,2021,49(20):16-20. doi: 10.14026/j.cnki.0253-9705.2021.20.001
[17]	孟豪, 梅丹兵, 邓璟菲, 等.北京市污染场地土壤修复工程实证分析[J]. 中国环境科学,2023,43(2):764-771. doi: 10.3969/j.issn.1000-6923.2023.02.029 MENG H, MEI D B, DENG J F, et al. Empirical analysis on soil remediation constructions of contaminated sites in Beijing[J]. China Environmental Science,2023,43(2):764-771. doi: 10.3969/j.issn.1000-6923.2023.02.029
[18]	张红振, 叶渊, 魏国, 等.污染场地修复工程关键环节分析[J]. 环境保护,2019,47(1):54-56. doi: 10.14026/j.cnki.0253-9705.2019.01.012 ZHANG H Z, YE Y, WEI G, et al. Key points analysis of contaminated land remediation projects[J]. Environmental Protection,2019,47(1):54-56. doi: 10.14026/j.cnki.0253-9705.2019.01.012
[19]	BROUWERS M, MARTIN P J, ABBEY D G, et al. Groundwater modeling with nonlinear uncertainty analyses to enhance remediation design confidence[J]. Groundwater,2018,56(4):562-570. doi: 10.1111/gwat.12669
[20]	HOU D Y. Expediting climate-smart soils management[J]. Soil Use and Management,2022,38(1):1-6. doi: 10.1111/sum.12781
[21]	土壤与地下水修复行业2019年发展报告[C]//中国环境保护产业协会. 中国环境保护产业发展报告(2020). 北京: 气象出版社, 2020: 211-246.