{
  "abstract": "This paper presents a distributed pressure measurement network for low-amplitude hydrodynamic pressure fluctuations in confined water tanks. The architecture uses modular 8-channel ESP32 acquisition units and is designed to scale to 30 modules (240 sensing points), while the experimentally characterized configuration comprises 96 sensors over a 1 m 2 instrumented area. The network operates at 200 Hz with wireless time-coherent sampling. The measurement chain is characterized through calm-water baseline measurements, a relative frequencyresponse sweep of the pneumatic coupling, timing-coherence tests, and a CNC-controlled dynamic repeatability experiment. In the selected 0.2 Hz to 8 Hz analysis band, the 96-channel configuration exhibits a median RMS noise floor of 20.1 mPa, a band-limited baseline expanded uncertainty of 0.041 Pa (k = 2) associated with quiescent noise and quantization, and a minimum detectable amplitude of about 0.060 Pa using a 3σ in-band noise criterion. The CNC experiment gives a median peak-topeak amplitude of 1.06 Pa and a median expanded repeatability uncertainty of 76.7 mPa. A dedicated software tool synchronizes pressure and video data and displays reconstructed pressure maps from the 96 localized measurements. Live-fish recordings are used as a representative application dataset rather than as the primary metrological validation. Beyond component integration, the contribution is a characterized measurement method combining non-invasive wall-pressure sensing, modular deployment, and data-efficient acquisition for studies of freely behaving aquatic animals.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "name": "Corentin Porcon"
    },
    {
      "name": "James Herbert-Read"
    },
    {
      "name": "Bastien Lagneaux"
    },
    {
      "name": "Gurvan Jodin"
    },
    {
      "name": "Florence Razan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/17pgmnz95abst.bib",
  "cited_by": 1,
  "doi": "10.1109/tim.2026.3712921",
  "fulltext_url": null,
  "id": "17pgmnz95abst",
  "issns": [
    "0018-9456"
  ],
  "landing_url": "https://hal.science/hal-05750846v1",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
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    ],
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      "hal",
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      "openalex",
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  "openalex": "W7168186640",
  "pdf_url": "https://hal.science/hal-05750846/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-15",
  "publisher": "Institute of Electrical and Electronics Engineers",
  "ris": "https://research.draconitic.com/paper/17pgmnz95abst.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:35Z",
      "native_id": "hal-05750846",
      "source": "hal",
      "url": "https://hal.science/hal-05750846v1"
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  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "hal:0.sde",
      "subfield": "environmental-science"
    }
  ],
  "title": "Design and Validation of a Multipoint Pressure Measurement Network for Hydrodynamic State Estimation in Experimental Water Tanks",
  "title_text": "Design and Validation of a Multipoint Pressure Measurement Network for Hydrodynamic State Estimation in Experimental Water Tanks",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:35Z",
  "url": "https://research.draconitic.com/paper/17pgmnz95abst",
  "venue": "IEEE Transactions on Instrumentation and Measurement",
  "versions": []
}