Optimization Research on Sensor Network Layout for Microseismic Monitoring Based on Location Error Analysis.

Xiaofeng Huang, Shenglan Li, Longjun Dong, Longbing Yang

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

4 authors.

Xiaofeng HuangSchool of Resources and Safety Engineering, Central South University, Changsha 410083, China.

Shenglan LiSchool of Resources and Safety Engineering, Central South University, Changsha 410083, China.

Longjun DongSchool of Resources and Safety Engineering, Central South University, Changsha 410083, China.ORCID 0000-0002-0908-1009

Longbing YangSchool of Resources and Safety Engineering, Central South University, Changsha 410083, China.

Funding

Ministry of Science and Technology of the People's Republic of China 2025ZD1010906National Natural Science Foundation of China 52425403

6 · The paper itself

Abstract

This study develops a numerical framework for optimizing microseismic sensor network layouts in the Woxi Mine. Three candidate deployment schemes were evaluated by combining synthetic arrival-time perturbations with the classical Geiger localization algorithm under different uncertainty levels. The results show that localization performance is governed primarily by sensor layout geometry, which controls both the magnitude and the spatial distribution of localization errors. Event-wise robustness analysis indicates that the layout with the lowest overall localization error is not necessarily the one with the strongest spatial enclosure. These findings provide a geometry-based reference for the preliminary design and subsequent refinement of a mine-scale microseismic monitoring system in deep underground engineering.

Indexed as

deep miningGeiger algorithmgeometric configurationlocalization errormicroseismic monitoringsensor network optimization

Identifiers

PMID42515417

DOI10.3390/s26144533

PMCPMC13416629

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.