基于数据挖掘的灌溉渠道运行状况健康度检测研究
X321; [目的]探究分类模型对灌溉渠道运行状况健康度的检测效果.[方法]对陕西关中地区某灌区2014年10月―2018年10月各级渠道流量以及灌溉发生运行不良状况下异常终端报警信息等数据进行抽取和探索分析处理,提取渠道运行状况特征评价指标,构建灌区渠道运行状况健康识别模型.[结果]构建的LM神经网络模型与传统BP网络模型、CART决策树模型,对759个训练样本分类中综合分类准确率均高于98％;对156个测试样本,综合分类准确率LM神经网络模型相比BP网络模型同为96.2％,CART决策树模型为94.9％.对3个模型测试样本ROC曲线分析发现,LM神经网络模型中运行正常渠道分类准确度折线与运...
Saved in:
| Published in | Guanʻgai paishui xuebao Vol. 39; no. 11; pp. 130 - 136 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | Chinese English |
| Published |
Xinxiang City
Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage
01.11.2020
西北农林科技大学水利与建筑工程学院,陕西杨凌712100%西北农林科技大学 旱区农业水土工程教育部重点实验室,陕西 杨凌 712100%西北农林科技大学机械与电子工程学院,陕西杨凌712100 西北农林科技大学水利与建筑工程学院,陕西杨凌712100%西北农林科技大学 旱区农业水土工程教育部重点实验室,陕西 杨凌 712100 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1672-3317 |
| DOI | 10.13522/j.cnki.ggps.2019278 |
Cover
| Abstract | X321; [目的]探究分类模型对灌溉渠道运行状况健康度的检测效果.[方法]对陕西关中地区某灌区2014年10月―2018年10月各级渠道流量以及灌溉发生运行不良状况下异常终端报警信息等数据进行抽取和探索分析处理,提取渠道运行状况特征评价指标,构建灌区渠道运行状况健康识别模型.[结果]构建的LM神经网络模型与传统BP网络模型、CART决策树模型,对759个训练样本分类中综合分类准确率均高于98％;对156个测试样本,综合分类准确率LM神经网络模型相比BP网络模型同为96.2％,CART决策树模型为94.9％.对3个模型测试样本ROC曲线分析发现,LM神经网络模型中运行正常渠道分类准确度折线与运行不正常渠道分类准确度折线表现更优.[结论]LM神经网络模型是最优模型,可实际应用于渠道运行状态健康度识别检测,实际应用中对该灌区运行不正常渠道识别准确率为80.95％. |
|---|---|
| AbstractList | X321; [目的]探究分类模型对灌溉渠道运行状况健康度的检测效果.[方法]对陕西关中地区某灌区2014年10月―2018年10月各级渠道流量以及灌溉发生运行不良状况下异常终端报警信息等数据进行抽取和探索分析处理,提取渠道运行状况特征评价指标,构建灌区渠道运行状况健康识别模型.[结果]构建的LM神经网络模型与传统BP网络模型、CART决策树模型,对759个训练样本分类中综合分类准确率均高于98％;对156个测试样本,综合分类准确率LM神经网络模型相比BP网络模型同为96.2％,CART决策树模型为94.9％.对3个模型测试样本ROC曲线分析发现,LM神经网络模型中运行正常渠道分类准确度折线与运行不正常渠道分类准确度折线表现更优.[结论]LM神经网络模型是最优模型,可实际应用于渠道运行状态健康度识别检测,实际应用中对该灌区运行不正常渠道识别准确率为80.95％. |
| Author | WANG, Yichen ZHAO Zhongsheng XU Jinghui WANG, Lei |
| AuthorAffiliation | 西北农林科技大学水利与建筑工程学院,陕西杨凌712100%西北农林科技大学 旱区农业水土工程教育部重点实验室,陕西 杨凌 712100;西北农林科技大学水利与建筑工程学院,陕西杨凌712100%西北农林科技大学 旱区农业水土工程教育部重点实验室,陕西 杨凌 712100%西北农林科技大学机械与电子工程学院,陕西杨凌712100 |
| AuthorAffiliation_xml | – name: 西北农林科技大学水利与建筑工程学院,陕西杨凌712100%西北农林科技大学 旱区农业水土工程教育部重点实验室,陕西 杨凌 712100;西北农林科技大学水利与建筑工程学院,陕西杨凌712100%西北农林科技大学 旱区农业水土工程教育部重点实验室,陕西 杨凌 712100%西北农林科技大学机械与电子工程学院,陕西杨凌712100 |
| Author_FL | WANG Yichen ZHAO Zhongsheng XU Jinghui WANG Lei |
| Author_FL_xml | – sequence: 1 fullname: ZHAO Zhongsheng – sequence: 2 fullname: XU Jinghui – sequence: 3 fullname: WANG Lei – sequence: 4 fullname: WANG Yichen |
| Author_xml | – sequence: 1 fullname: ZHAO Zhongsheng – sequence: 2 fullname: XU Jinghui – sequence: 3 givenname: Lei surname: WANG fullname: WANG, Lei – sequence: 4 givenname: Yichen surname: WANG fullname: WANG, Yichen |
| BookMark | eNpFjz1Lw0Ach2-oYK39Bm7imHj3_196uVGLb1Bw0blcLkmxSlobi6sFEdRaBF8QFyui4CIurZLFL2Mu9VtYUXD6LQ_Pj2eK5KJGFBAyw6jN0AGYr9s62t6ya7VmbANlEoSbI3lWEmAhMjFJinFcp5SCQ4UjMU8W07vkM-mZq1dz9mK616Z3k90eZp2uSY7Ne_-rczH6OB_dd7OTYXo0SDuPafKWJk_m4cAMTrP-ZfY8nCYTodqJg-LfFsjm8tJGedWqrK-slRcqVpOBK6wSUBU4nq8CrXnAudKKCaQuZ9L3AX3gCnWolBMyXWKeRCnQ4wo0FzL0XIoFMvfr3VdRqKJatd5ot6LxY_UnF-i4l9GxskBmf7lmq7HbDuK9fxCpdAE5lxK_AfkDchg |
| ClassificationCodes | X321 |
| ContentType | Journal Article |
| Copyright | Copyright Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage 2020 Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage 2020 – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 3V. 7X2 7XB 8FE 8FH 8FK AFKRA ATCPS AZQEC BENPR BHPHI CCPQU DWQXO GNUQQ GUQSH HCIFZ M0K M2O MBDVC PHGZM PHGZT PKEHL PQEST PQQKQ PQUKI PRINS Q9U 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.13522/j.cnki.ggps.2019278 |
| DatabaseName | ProQuest Central (Corporate) Agricultural Science Collection ProQuest Central (purchase pre-March 2016) ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central UK/Ireland ProQuest Agricultural & Environmental Science Collection ProQuest Central Essentials ProQuest Central ProQuest Natural Science Collection ProQuest One ProQuest Central Korea ProQuest Central Student ProQuest Research Library ProQuest SciTech Premium Collection Agricultural Science Database ProQuest Research Library Research Library (Corporate) ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitle | Agricultural Science Database Research Library Prep ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Basic ProQuest Central Essentials ProQuest One Academic Eastern Edition Agricultural Science Collection SciTech Premium Collection ProQuest One Community College ProQuest Natural Science Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central ProQuest One Academic UKI Edition Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection ProQuest Research Library ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| DocumentTitle_FL | Using Data Mining to Diagnose Health Operation of Irrigation Channel Systems |
| EndPage | 136 |
| ExternalDocumentID | ggps202011017 |
| GrantInformation_xml | – fundername: (陕西水利科技计划项目); (科技部国家重点研发计划课题) funderid: (陕西水利科技计划项目); (科技部国家重点研发计划课题) |
| GroupedDBID | 3V. 5XA 5XE 7X2 7XB 8FE 8FH 8FK ABJNI ACGFS AFKRA ALMA_UNASSIGNED_HOLDINGS ATCPS AZQEC BENPR BHPHI CCPQU CW9 DWQXO GNUQQ GUQSH HCIFZ M0K M2O MBDVC PHGZM PHGZT PKEHL PQEST PQQKQ PQUKI PRINS Q9U TGD U1G U5N 2B. 4A8 92G 92I 93N GROUPED_DOAJ PSX TCJ |
| ID | FETCH-LOGICAL-p1287-620ae5bdaecc4e44aca17308419dd23d24a3cfaa5f1c61b93973b4a2c479fb803 |
| IEDL.DBID | BENPR |
| ISSN | 1672-3317 |
| IngestDate | Thu May 29 04:05:16 EDT 2025 Sat Aug 23 12:59:09 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 11 |
| Keywords | 灌区渠道 神经网络 数据挖掘 模型 |
| Language | Chinese English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-p1287-620ae5bdaecc4e44aca17308419dd23d24a3cfaa5f1c61b93973b4a2c479fb803 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| PQID | 3098234499 |
| PQPubID | 6843760 |
| PageCount | 7 |
| ParticipantIDs | wanfang_journals_ggps202011017 proquest_journals_3098234499 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-11-01 |
| PublicationDateYYYYMMDD | 2020-11-01 |
| PublicationDate_xml | – month: 11 year: 2020 text: 2020-11-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Xinxiang City |
| PublicationPlace_xml | – name: Xinxiang City |
| PublicationTitle | Guanʻgai paishui xuebao |
| PublicationTitle_FL | Journal of Irrigation and Drainage |
| PublicationYear | 2020 |
| Publisher | Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage 西北农林科技大学水利与建筑工程学院,陕西杨凌712100%西北农林科技大学 旱区农业水土工程教育部重点实验室,陕西 杨凌 712100%西北农林科技大学机械与电子工程学院,陕西杨凌712100 西北农林科技大学水利与建筑工程学院,陕西杨凌712100%西北农林科技大学 旱区农业水土工程教育部重点实验室,陕西 杨凌 712100 |
| Publisher_xml | – name: Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage – name: 西北农林科技大学水利与建筑工程学院,陕西杨凌712100%西北农林科技大学 旱区农业水土工程教育部重点实验室,陕西 杨凌 712100 – name: 西北农林科技大学水利与建筑工程学院,陕西杨凌712100%西北农林科技大学 旱区农业水土工程教育部重点实验室,陕西 杨凌 712100%西北农林科技大学机械与电子工程学院,陕西杨凌712100 |
| SSID | ssj0002507593 ssib002264380 ssib001101356 ssib051374040 ssib046786310 ssib006567438 |
| Score | 2.216405 |
| Snippet | X321;... |
| SourceID | wanfang proquest |
| SourceType | Aggregation Database |
| StartPage | 130 |
| SubjectTerms | Accuracy Automation Buckets Channel flow Channels Classification Data mining Decision trees Defects Flow velocity Irrigation Irrigation districts Irrigation efficiency Irrigation systems Neural networks Training Water consumption Water level fluctuations Water levels |
| Title | 基于数据挖掘的灌溉渠道运行状况健康度检测研究 |
| URI | https://www.proquest.com/docview/3098234499 https://d.wanfangdata.com.cn/periodical/ggps202011017 |
| Volume | 39 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LSwMxEA5qEbyIomJ9lB68bt1Nspvdk6hYimARseBNstlNUWFbX3i1IIJaRfCBeLEiCl7ES1X24p9xd_VfmG3j6-ItkOSQmcl8H5PMDAAjBiKWzriu2KaNFUwQESOXK9DghAvAgryRPjaTN3IFPL2gL8iA27r8VvnlExuO2imxOEY-ilTLhAgLgj5WXlXirlHx66psodEKEsIFm8LOExNT-dm57yiLAHjSrLyrGQQqSKClzJ-LicfocoZ5K0uZYrEcV-4WZIeYf5hm-xb1OPWKvyAn2wU6JVdMjzeV2w1aXK8HTARX_pt_FJ49hocPYfU8PLqILneiSjX098KX2kfl5P31-P26Gu0_Bbv1oHIb-M-BfxfebIf1g6h2Gt0_9YJCdmp-MqfIRghKWZyKKAZUqavbDhXyxi7GlFFN3EwTa5bjQORATBHjlOpcY4ZmW4JjIBtTyDCxuG2qqA-0eSXP7QdpnTKicuZyRi3sUMcUhE5cQ0fTDGpyZCXB0NfxF6U1ry_-yD4JUlIkP7Ox9KDaIBIaGfh__yDoiJc2k_mGQNvG2qY7LFB9w05J1X0CC8K4GA |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwY2BQMTM2tzRNTjPVTbJIMtE1MTc2B7JS03SNzNLM04AVllEaePuYr5-ZR6iJV4RpBBPDOtheGNCySliZCC6oU_KTQWPk-sYGlhZGxibABrp9QaEu6NYo0Owq7AoNSLLwTq0sB3bZim09XYDxq2pk5OYa4uyhC71VQLcAWBab65oZGSSmmialJAIdb5JqYpKYnGgITOYWJoaWKSlGxilGJonGyWmJiaZphslmhkmWwArbOMkk0SjZxNwyLcnCwBhoLjMDqwloRysLA6uTq19AEHxUB9igMIec9GtoZm6kawysnaH79UANHf0sveS87Ey99PQC0EnhwMaVuQVKy5a9PDEvLTEvHamKcxNk4Ie2TRUcIYlJiIEpNU-Ewenp_F1PdvU9m7rhWe-6Zz3TnvXNeD6r5Xljz7Ndnc92LHjZOPnF_gkvFvY879r2tG3r08alT3dtf7pr2bPFDc-2dj9fMOX5ym2iDKE0CSIxBpa8_LxUCQYF08Rkc4O05NS05ERLk5TEFAtgAxKY7VMMDc0SLdKMLSUZZGDej4fmnuJ4RFxLMshBgwQhCwo9IwNww8XQXAq_fnkGTo8QX594H08_b2kGLpA2yEZCGQaWkqLSVFlgi6IkSQ4ajQoMCbROOQA-o_Wx |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E7%9A%84%E7%81%8C%E6%BA%89%E6%B8%A0%E9%81%93%E8%BF%90%E8%A1%8C%E7%8A%B6%E5%86%B5%E5%81%A5%E5%BA%B7%E5%BA%A6%E6%A3%80%E6%B5%8B%E7%A0%94%E7%A9%B6&rft.jtitle=%E7%81%8C%E6%BA%89%E6%8E%92%E6%B0%B4%E5%AD%A6%E6%8A%A5&rft.au=%E8%B5%B5%E9%92%9F%E5%A3%B0&rft.au=%E8%AE%B8%E6%99%AF%E8%BE%89&rft.au=%E7%8E%8B%E9%9B%B7&rft.au=%E7%8E%8B%E4%B8%80%E7%90%9B&rft.date=2020-11-01&rft.pub=%E8%A5%BF%E5%8C%97%E5%86%9C%E6%9E%97%E7%A7%91%E6%8A%80%E5%A4%A7%E5%AD%A6%E6%B0%B4%E5%88%A9%E4%B8%8E%E5%BB%BA%E7%AD%91%E5%B7%A5%E7%A8%8B%E5%AD%A6%E9%99%A2%2C%E9%99%95%E8%A5%BF%E6%9D%A8%E5%87%8C712100%25%E8%A5%BF%E5%8C%97%E5%86%9C%E6%9E%97%E7%A7%91%E6%8A%80%E5%A4%A7%E5%AD%A6+%E6%97%B1%E5%8C%BA%E5%86%9C%E4%B8%9A%E6%B0%B4%E5%9C%9F%E5%B7%A5%E7%A8%8B%E6%95%99%E8%82%B2%E9%83%A8%E9%87%8D%E7%82%B9%E5%AE%9E%E9%AA%8C%E5%AE%A4%2C%E9%99%95%E8%A5%BF+%E6%9D%A8%E5%87%8C+712100%25%E8%A5%BF%E5%8C%97%E5%86%9C%E6%9E%97%E7%A7%91%E6%8A%80%E5%A4%A7%E5%AD%A6%E6%9C%BA%E6%A2%B0%E4%B8%8E%E7%94%B5%E5%AD%90%E5%B7%A5%E7%A8%8B%E5%AD%A6%E9%99%A2%2C%E9%99%95%E8%A5%BF%E6%9D%A8%E5%87%8C712100&rft.issn=1672-3317&rft.volume=39&rft.issue=11&rft.spage=130&rft.epage=136&rft_id=info:doi/10.13522%2Fj.cnki.ggps.2019278&rft.externalDocID=ggps202011017 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fggps%2Fggps.jpg |