Evidence map›Paper›PMID 42884196›Full record

ArticleSensors (Basel, Switzerland)2026

Performance Comparison of Laser and Ultrasonic Sensors for Water-Level Monitoring in Wind Turbine Towers: System Development and Experimental Validation.

Jianchao Ma, Mingchen Wu, Jiarui Li, Xingzhu Ji, Nianyong Zhou

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jianchao MaSchool of Urban Construction, Changzhou University, Changzhou 213164, China.
Mingchen WuSchool of Urban Construction, Changzhou University, Changzhou 213164, China.
Jiarui LiSchool of Urban Construction, Changzhou University, Changzhou 213164, China.
Xingzhu JiSchool of Urban Construction, Changzhou University, Changzhou 213164, China.
Nianyong ZhouSchool of Urban Construction, Changzhou University, Changzhou 213164, China.ORCID 0000-0001-8936-8781

Funding

Basic Science (Natural Science) Research Project of Higher Education Institutions in Jiangsu Province 25KJB560001National Natural Science Foundation of China 52608158
6 · The paper itself

Abstract

Water accumulation inside wind turbine towers threatens structural integrity and operational safety. This study developed an IoT-based water depth monitoring and automatic drainage system and evaluated the performance of laser (VL53L0X) and ultrasonic (HC-SR04) sensors for tower sump water depth measurement. Laboratory experiments investigated the effects of sensor-to-wall distance (10-150 mm) and water depth (10-350 mm) on measurement accuracy. The ultrasonic sensor is susceptible to side-wall interference within 100 mm due to its broad beam angle, while the laser sensor exhibits significant underestimation in shallow water below 100 mm due to optical penetration. In dynamic drainage tests, the ultrasonic sensor achieved complete water removal (<1 mm residual), whereas the standalone laser sensor left 55 mm of residual water. This limitation was mitigated by an opaque floating reflector, which enabled the laser sensor to achieve complete drainage. The developed system offers a cost-effective solution for unmanned tower sump monitoring, contributing to enhanced safety of wind turbine structures.

Indexed as

automatic drainageIoTlaser sensorsensor comparisonultrasonic sensorwater depth monitoringwind turbine tower

Identifiers

PMID42884196
PMCPMC13667591

What OpenQuestion holds

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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.