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Research on the optimization method of computational model in the design and application of subsurface fluid stratified sampling device.

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Název: Research on the optimization method of computational model in the design and application of subsurface fluid stratified sampling device.
Autoři: Zhou, Anpin, Niu, Shuyu, Zhang, Lei, Liu, Tan, Yin, Hongwei, Wang, Shi, Song, Jingze
Zdroj: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p6219-6238, 20p
Témata: FUZZY algorithms, SAMPLING (Process), FIELD research, GROUNDWATER sampling, DISSOLVED oxygen in water, FEEDBACK control systems, AUTOMATION
Abstrakt: In order to improve the automation and intelligence level of underground fluid sampling, this paper proposes a kind of underground fluid automatic sampling device, and carries out the structural design of the sampling device, the control system design and the field experiment test. According to the action process and movement characteristics of the underground fluid stratified sampling device, the control system needs to use multiple electromagnetic control valves to control the switching of the oil circuit of different actuators respectively. In order to improve the control state and response speed of the stratified sampling device system, a fuzzy identification algorithm is chosen to identify the control model, and the MIMO robust generalized predictive controller is used as the robust adaptive controller of the system to realize the low-flow and low-disturbance acquisition of underground fluids at the same monitoring point and at different depths. In the field sampling, the average values of DO at sampling depths of 1m, 2m, 3m, 4m, and 5m for manual sampling, vertical sampling, and fuzzy adaptive device sampling under the 1-2 sampling plumb line were 7.98mg/L, 7.86mg/L, 8.25mg/L, 7.83mg/L, and 7.77mg/L, respectively. The deviation of dissolved oxygen content at the same sampling point in the three ways is small and the trend of change is consistent at different depths. It shows that the fuzzy adaptive stratified sampling device system designed in this paper can be applied to the sampling of subsurface fluids with dissolved oxygen as the detection target. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Combinatorial Mathematics & Combinatorial Computing is the property of Combinatorial Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 189348291
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Research on the optimization method of computational model in the design and application of subsurface fluid stratified sampling device.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhou%2C+Anpin%22">Zhou, Anpin</searchLink><br /><searchLink fieldCode="AR" term="%22Niu%2C+Shuyu%22">Niu, Shuyu</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Lei%22">Zhang, Lei</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Tan%22">Liu, Tan</searchLink><br /><searchLink fieldCode="AR" term="%22Yin%2C+Hongwei%22">Yin, Hongwei</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Shi%22">Wang, Shi</searchLink><br /><searchLink fieldCode="AR" term="%22Song%2C+Jingze%22">Song, Jingze</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p6219-6238, 20p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22FUZZY+algorithms%22">FUZZY algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22SAMPLING+%28Process%29%22">SAMPLING (Process)</searchLink><br /><searchLink fieldCode="DE" term="%22FIELD+research%22">FIELD research</searchLink><br /><searchLink fieldCode="DE" term="%22GROUNDWATER+sampling%22">GROUNDWATER sampling</searchLink><br /><searchLink fieldCode="DE" term="%22DISSOLVED+oxygen+in+water%22">DISSOLVED oxygen in water</searchLink><br /><searchLink fieldCode="DE" term="%22FEEDBACK+control+systems%22">FEEDBACK control systems</searchLink><br /><searchLink fieldCode="DE" term="%22AUTOMATION%22">AUTOMATION</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In order to improve the automation and intelligence level of underground fluid sampling, this paper proposes a kind of underground fluid automatic sampling device, and carries out the structural design of the sampling device, the control system design and the field experiment test. According to the action process and movement characteristics of the underground fluid stratified sampling device, the control system needs to use multiple electromagnetic control valves to control the switching of the oil circuit of different actuators respectively. In order to improve the control state and response speed of the stratified sampling device system, a fuzzy identification algorithm is chosen to identify the control model, and the MIMO robust generalized predictive controller is used as the robust adaptive controller of the system to realize the low-flow and low-disturbance acquisition of underground fluids at the same monitoring point and at different depths. In the field sampling, the average values of DO at sampling depths of 1m, 2m, 3m, 4m, and 5m for manual sampling, vertical sampling, and fuzzy adaptive device sampling under the 1-2 sampling plumb line were 7.98mg/L, 7.86mg/L, 8.25mg/L, 7.83mg/L, and 7.77mg/L, respectively. The deviation of dissolved oxygen content at the same sampling point in the three ways is small and the trend of change is consistent at different depths. It shows that the fuzzy adaptive stratified sampling device system designed in this paper can be applied to the sampling of subsurface fluids with dissolved oxygen as the detection target. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Combinatorial Mathematics & Combinatorial Computing is the property of Combinatorial Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.61091/jcmcc127b-341
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 6219
    Subjects:
      – SubjectFull: FUZZY algorithms
        Type: general
      – SubjectFull: SAMPLING (Process)
        Type: general
      – SubjectFull: FIELD research
        Type: general
      – SubjectFull: GROUNDWATER sampling
        Type: general
      – SubjectFull: DISSOLVED oxygen in water
        Type: general
      – SubjectFull: FEEDBACK control systems
        Type: general
      – SubjectFull: AUTOMATION
        Type: general
    Titles:
      – TitleFull: Research on the optimization method of computational model in the design and application of subsurface fluid stratified sampling device.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Zhou, Anpin
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          Name:
            NameFull: Niu, Shuyu
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            NameFull: Zhang, Lei
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            NameFull: Liu, Tan
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            NameFull: Yin, Hongwei
      – PersonEntity:
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            NameFull: Wang, Shi
      – PersonEntity:
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            NameFull: Song, Jingze
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            – D: 10
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 08353026
          Numbering:
            – Type: volume
              Value: 127b
          Titles:
            – TitleFull: Journal of Combinatorial Mathematics & Combinatorial Computing
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