Evidence map›Paper›PMID 38931811›Full record

ArticleSensors (Basel, Switzerland)2024

Determinants of Maximum Magnetic Anomaly Detection Distance.

Hangcheng Li, Jiaming Luo, Jiajun Zhang, Jing Li, Yi Zhang, Wenwei Zhang, Mingji Zhang

Abstract read
In one paragraph

Article 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Hangcheng LiSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.ORCID 0009-0000-8698-4116
Jiaming LuoSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Jiajun ZhangSanechips Technology Co., Ltd., Shenzhen 518055, China.
Jing LiSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Yi ZhangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Wenwei ZhangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Mingji ZhangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.

Funding

Guangdong Provincial Engineering Technology Research Center for Materials for Advanced MEMS Sensor Chip 2022GCZX005Guangdong Regular Universities Special Fund for Major Areas 2022ZDZX3022National Natural Science Foundation of China 61901271Natural Science Foundation of Guangdong Province Science and Technology Program of Shenzhen JCYJ20200109115403807Natural Science Foundation of Top Talent of SZTU 2020104Natural Science Foundation of Top Talent of SZTU GDRC20200204Research and Development in Key Areas of Guangdong Province 2021ZDZX1018
6 · The paper itself

Abstract

The maximum detection distance is usually the primary concern of magnetic anomaly detection (MAD). Intuition tells us that larger object size, stronger magnetization and finer measurement resolution guarantee a further detectable distance. However, the quantitative relationship between detection distance and the above determinants is seldom studied. In this work, unmanned aerial vehicle-based MAD field experiments are conducted on cargo vessels and NdFeB magnets as typical magnetic objects to give a set of visualized magnetic field flux density images. Isometric finite element models are established, calibrated and analyzed according to the experiment configuration. A maximum detectable distance map as a function of target size and measurement resolution is then obtained from parametric sweeping on an experimentally calibrated finite element analysis model. We find that the logarithm of detectable distance is positively proportional to the logarithm of object size while negatively proportional to the logarithm of resolution, within the ranges of 1 m~500 m and 1 pT~1 μT, respectively. A three-parameter empirical formula (namely distance-size-resolution logarithmic relationship) is firstly developed to determine the most economic sensor configuration for a given detection task, to estimate the maximum detection distance for a given magnetic sensor and object, or to evaluate minimum detectable object size at a given magnetic anomaly detection scenario.

Indexed as

detection distancemagnetic anomaly detectionmagnetic objectmagnetic sensor

Identifiers

PMID38931811
PMCPMC11207822

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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.