Design and implementation of a wireless sensor network-based remote water-level monitoring system.

Sensors (Basel, Switzerland) · 2011 · Unclear · Insufficient evidence

← Research stream
UnclearInsufficient evidencePaper 3245

A wireless sensor network-based remote water-level monitoring system was designed and implemented, with stated advantages including real-time synchronized remote control, expandability, and anti-jamming capabilities. The system was reported as successfully ap…

Study snapshot

PublicationSensors (Basel, Switzerland) · 2011
Study typeengineering
Reported directionUnclear
Evidence ratingInsufficient

Abstract

The proposed remote water-level monitoring system (RWMS) consists of a field sensor module, a base station module, a data center module and a WEB releasing module. It has advantages in real time and synchronized remote control, expandability, and anti-jamming capabilities. The RWMS can realize real-time remote monitoring, providing early warning of events and protection of the safety of monitoring personnel under certain dangerous circumstances. This system has been successfully applied in Poyanghu Lake. The cost of the whole system is approximately 1,500 yuan (RMB).

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeengineering
Effect directionunclear
PopulationNot supplied
Sample sizeNot supplied
ExposureNot supplied
Evidence strengthInsufficientConfidence: 66% · Peer reviewed: yes

Main findings

A wireless sensor network-based remote water-level monitoring system was designed and implemented, with stated advantages including real-time synchronized remote control, expandability, and anti-jamming capabilities. The system was reported as successfully applied at Poyanghu Lake, with an overall cost of approximately 1,500 RMB.

Outcomes measured

  • Remote water-level monitoring system performance (real-time monitoring, synchronized remote control, expandability, anti-jamming)
  • Early warning capability
  • Safety of monitoring personnel in dangerous circumstances
  • Field application at Poyanghu Lake
  • System cost (~1,500 RMB)

Limitations

  • No electromagnetic field (EMF) exposure parameters (e.g., frequency, power, SAR) are reported in the abstract.
  • No quantitative performance metrics, evaluation methods, or comparison benchmarks are provided in the abstract.
  • No sample size or duration of field deployment is stated.
View raw extracted JSON
{
  "study_type": "engineering",
  "exposure": {
    "band": null,
    "source": "wireless sensor network",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "Remote water-level monitoring system performance (real-time monitoring, synchronized remote control, expandability, anti-jamming)",
    "Early warning capability",
    "Safety of monitoring personnel in dangerous circumstances",
    "Field application at Poyanghu Lake",
    "System cost (~1,500 RMB)"
  ],
  "main_findings": "A wireless sensor network-based remote water-level monitoring system was designed and implemented, with stated advantages including real-time synchronized remote control, expandability, and anti-jamming capabilities. The system was reported as successfully applied at Poyanghu Lake, with an overall cost of approximately 1,500 RMB.",
  "effect_direction": "unclear",
  "limitations": [
    "No electromagnetic field (EMF) exposure parameters (e.g., frequency, power, SAR) are reported in the abstract.",
    "No quantitative performance metrics, evaluation methods, or comparison benchmarks are provided in the abstract.",
    "No sample size or duration of field deployment is stated."
  ],
  "evidence_strength": "insufficient",
  "confidence": 0.66,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "wireless sensor network",
    "remote monitoring",
    "water-level monitoring",
    "base station",
    "data center",
    "web module",
    "anti-jamming",
    "early warning",
    "Poyanghu Lake"
  ],
  "suggested_hubs": []
}
AI can be wrong. Always verify against the paper.

AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.3390/s110201706
PubMed: 22319377

Read the original paper →

Related papers

← Back to the Research Library