Evidence map›Paper›PMID 39686232›Full record

ReviewSensors (Basel, Switzerland)2024

Research on Environmental Risk Monitoring and Advance Warning Technologies of Power Transmission and Distribution Projects Construction Phase.

Xiaohu Sun, Fei Liu, Yu Zhao, Fang Liu, Jian Wang, Shu Zhu, Qiang He, Yu Bai, Jiyong Zhang

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. 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. Review
  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

9 authors.

Xiaohu SunState Grid Economic and Technological Research Institute Ltd., Beijing 102200, China.
Fei LiuSchool of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.ORCID 0000-0001-6249-8674
Yu ZhaoSchool of Science, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.
Fang LiuSchool of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.ORCID 0000-0001-6430-2372
Jian WangSchool of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.
Shu ZhuState Grid Economic and Technological Research Institute Ltd., Beijing 102200, China.
Qiang HeSchool of Science, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.
Yu BaiSchool of Science, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.
Jiyong ZhangState Grid Economic and Technological Research Institute Ltd., Beijing 102200, China.

Funding

State Grid Corporation of China 5200-202456108A-1-1-ZN
6 · The paper itself

Abstract

The threat power transmission and distribution projects pose to the ecological environment has been widely discussed by researchers. The scarcity of early environmental monitoring and supervision technologies, particularly the lack of effective real-time monitoring mechanisms and feedback systems, has hindered the timely quantitative identification of potential early-stage environmental risks. This study aims to comprehensively review the literature and analyze the research context and shortcomings of the advance warning technologies of power transmission and distribution projects construction period using the integrated space-sky-ground system approach. The key contributions of this research include (1) listing ten environmental risks and categorizing the environmental risks associated with the construction cycle of power transmission and distribution projects; (2) categorizing the monitoring data into one-dimensional, two-dimensional, and three-dimensional frameworks; and (3) constructing the potential environmental risk knowledge system by employing the knowledge graph technology and visualizing it. This review study provides a panoramic view of knowledge in a certain field and reveals the issues that have not been fully explored in the research field of monitoring technologies for potential environmental damage caused by power transmission and transformation projects.

Indexed as

advance warning technologyenvironmental monitoring and supervision technologiesmulti-sensor fusionpower transmission and distribution projectrisk atlasunmanned aerial vehicle (UAV)

Identifiers

PMID39686232
PMCPMC11644905

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.