Evidence map›Paper›PMID 41157362›Full record

ReviewSensors (Basel, Switzerland)2025

A Review of the Research Progress of Sensor Monitoring Technology in Harsh Engineering Environments.

Qiang Liu, Yang Wang, Fengjiao Zhao, Chuanxing Zheng, Jinping Xie

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. 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

5 authors.

Qiang LiuSchool of Ocean Energy, Tianjin University of Technology, Tianjin 300384, China.
Yang WangSchool of Ocean Energy, Tianjin University of Technology, Tianjin 300384, China.
Fengjiao ZhaoSchool of Ocean Energy, Tianjin University of Technology, Tianjin 300384, China.
Chuanxing ZhengTianjin Huashui Engineering Consulting Co., Ltd., Tianjin 300204, China.ORCID 0009-0000-4837-5336
Jinping XieBei Fang Investigation Design & Research Co., Ltd., Tianjin 300222, China.

Funding

National Key R&D Program of China 2022YFB4200700Tianjin major science and technology projects and projects 24ZXKJGX00070
6 · The paper itself

Abstract

With the continuous growth in the demand for safety assurance in major projects and monitoring in extreme environments, sensor technology is facing challenges in harsh working conditions such as high temperatures, high pressures, and complex liquid media. This article focuses on typical complex environments such as underground and marine environments, systematically reviewing the basic principles, performance characteristics and the latest application progress of mechanical, optical and acoustic sensors in complex environments, and deeply analyzing their applicable boundaries and technical bottlenecks. The transmission mechanism of sensor data and the system architecture of the engineering monitoring and early warning platform were further explored, and their key roles in real-time perception and intelligent decision-making were evaluated. Finally, the core challenges and development opportunities currently faced by complex environmental sensing systems are summarized, and the future development directions, such as multi-parameter fusion, autonomous perception and edge intelligence, are prospected. This paper aims to provide a systematic theoretical basis and engineering practice reference for the design of sensors and the construction of monitoring systems in extreme environments.

Indexed as

data transmissionharsh environmentmonitoringsensor technology

Identifiers

PMID41157362
PMCPMC12567475

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.