Evidence map›Paper›PMID 40572398›Full record

ArticleMicromachines2025

Research on a Hybrid Self-Powered Landslide Rainfall Sensor Based on Triboelectric Nanogenerators and Electromagnetic Generators.

Hao Zou, Zexu Zuo, Xianhong Shen, Kun Song, Shuai Mao, Bing Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hao ZouHubei Key Laboratory of Disaster Prevention and Mitigation, China Three Gorges University, Yichang 443002, China.
Zexu ZuoFaculty of Mechanical and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.
Xianhong ShenFaculty of Mechanical and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.
Kun SongHubei Key Laboratory of Disaster Prevention and Mitigation, China Three Gorges University, Yichang 443002, China.
Shuai MaoThird Geological Brigade of Hubei Geological Bureau, Huanggang 438000, China.
Bing ChenThird Geological Brigade of Hubei Geological Bureau, Huanggang 438000, China.

Funding

Hubei Province Natural Science Foundation geological innovation and development joint fund 2023AFD221Open Research Fund of the Hubei Key Laboratory of Disaster Prevention and Mitigation(China Three Gorges University) 2023KJZ10
6 · The paper itself

Abstract

Landslide monitoring is crucial for mitigating landslide disaster risks. However, the power supply methods of existing rainfall sensors for landslide monitoring often fail to meet the demands of practical field applications. This study proposes a hybrid self-powered rainfall sensor for landslide monitoring, integrating a triboelectric nanogenerator (TENG) and an electromagnetic generator (EMG). The TENG module is used for rainfall monitoring, while both the TENG and EMG modules are synergistically utilized for power generation. Experimental results demonstrate that the sensor's measurement error is less than 5%, and it can operate stably under conditions of temperature below 90 °C and humidity below 90%. Furthermore, the sensor exhibits power generation capabilities. When the TENG and EMG modules are connected to resistors of 4.3 × 10

Indexed as

landsliderainfall sensorself-poweredtriboelectric nanogenerator

Identifiers

PMID40572398
PMCPMC12194828

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.