Evidence map›Paper›PMID 34300477›Full record

ArticleSensors (Basel, Switzerland)2021

Real-Time Structural Monitoring of the Multi-Point Hoisting of a Long-Span Converter Station Steel Structure.

Yunfeng Zhu, Yi Gao, Qinghe Zeng, Jin Liao, Zhen Liu, Cuiying Zhou

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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. Article
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.

Yunfeng ZhuChina Southern Power Grid Ehv Power Transmission Company, Guangzhou 510275, China.
Yi GaoSchool of Civil Engineering, Sun Yat-sen University, No.135 XinGangXiLu, Guangzhou 510275, China.
Qinghe ZengChina Southern Power Grid Ehv Power Transmission Company, Guangzhou 510275, China.
Jin LiaoSchool of Civil Engineering, Sun Yat-sen University, No.135 XinGangXiLu, Guangzhou 510275, China.
Zhen LiuSchool of Civil Engineering, Sun Yat-sen University, No.135 XinGangXiLu, Guangzhou 510275, China.ORCID 0000-0003-0083-8754
Cuiying ZhouSchool of Civil Engineering, Sun Yat-sen University, No.135 XinGangXiLu, Guangzhou 510275, China.

Funding

the National Key Research and Development Project Grant No. 2017YFC1501203,No. 2017YFC1501201the National Natural Science Foundation of China Grant No.41977230,No.41530638the Science and technology planning project in Guangzhou Grant No. 201803030005the Special Fund Key Project of Applied Science and Technology Research and Development in Guangdong Grant No. 2015B090925016, No. 2016B010124007
6 · The paper itself

Abstract

In the process of using a long-span converter station steel structure, engineering disasters can easily occur. Structural monitoring is an important method to reduce hoisting risk. In previous engineering cases, the structural monitoring of long-span converter station steel structure hoisting is rare. Thus, no relevant hoisting experience can be referenced. Traditional monitoring methods have a small scope of application, making it difficult to coordinate monitoring and construction control. In the monitoring process, many problems arise, such as complicated installation processes, large-scale data processing, and large-scale installation errors. With a real-time structural monitoring system, the mechanical changes in the long-span converter station steel structure during the hoisting process can be monitored in real-time in order to achieve real-time warning of engineering disasters, timely identification of engineering issues, and allow for rapid decision-making, thus avoiding the occurrence of engineering disasters. Based on this concept, automatic monitoring and manual measurement of the mechanical changes in the longest long-span converter station steel structure in the world is carried out, and the monitoring results were compared with the corresponding numerical simulation results in order to develop a real-time structural monitoring system for the whole long-span converter station steel structure's multi-point lifting process. This approach collects the monitoring data and outputs the deflection, stress, strain, wind force, and temperature of the long-span converter station steel structure in real-time, enabling real-time monitoring to ensure the safety of the lifting process. This research offers a new method and basis for the structural monitoring of the multi-point hoisting of a long-span converter station steel structure.

Indexed as

DisastersSteelSteelconverter station steel structurehoistinglong-spanreal-time collaborationstructural monitoring

Identifiers

PMID34300477
PMCPMC8309508

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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.