Evidence map›Paper›PMID 38339456›Full record

ArticleSensors (Basel, Switzerland)2024

Real-Time Monitoring of Underground Miners' Status Based on Mine IoT System.

Yufeng Jiang, Wei Chen, Xue Zhang, Xuejun Zhang, Guowei Yang

Open access · goldAbstract 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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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 at 2 institutions in 1 country.

Yufeng JiangCCTEG China Coal Research Institute, Beijing 100013, China.ORCID 0000-0002-3856-6873
Wei ChenCCTEG China Coal Research Institute, Beijing 100013, China.
Xue ZhangAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China.
Xuejun ZhangCCTEG China Coal Research Institute, Beijing 100013, China.
Guowei YangCCTEG China Coal Research Institute, Beijing 100013, China.
China Coal Technology and Engineering Group Corp (China) · CNChinese Academy of Sciences · CN

Funding

Key Project of Innovation and Entrepreneurship Fund of Tiandi Science & Technology Co., Ltd 2022-2-TD-ZD001Key Project of Innovation and Entrepreneurship Fund of Tiandi Science & Technology Co., Ltd 2023-TD-ZD005-001
6 · The paper itself

Abstract

Real-time monitoring and timely risk warnings for the safety, health, and fatigue of underground miners are essential for establishing intelligent mines, enhancing the safety of production, and safeguarding the well-being of miners. This concerns the collection, transmission, and processing of relevant data. To minimize physical strain on miners, data collection functions are consolidated into two wearable terminals: an electronic bracelet equipped with reliable, low-power components for gathering vital sign data and transmitting them via Bluetooth and a miner lamp that integrates multi-gas detection, personnel positioning, and wireless communication capabilities. The gas sensors within the miner lamp undergo regular calibration to maintain accuracy, while the positioning tag supports round-trip polling to ensure a deviation of less than 0.3 m. Data transmission is facilitated through the co-deployment of 5G communication and UWB positioning base stations, with distributed MIMO networking to minimize frequent cell handovers and ensure a low latency of no more than 20 ms. In terms of data processing, a backpropagation mapping model was developed to estimate miners' fatigue, leveraging the strong correlation between saliva pH and fatigue, with vital signs as the input layer and saliva pH as the output layer. Furthermore, a unified visualization platform was established to facilitate the management of all miners' states and enable prompt emergency response. Through these optimizations, a monitoring system for underground miners' status based on mine IoT technology can be constructed, meeting the requirements of practical operations.

Indexed as

fatigue estimationhealth monitoringmine IoTpersonnel positioningwearable terminal

Identifiers

PMID38339456
PMCPMC10857590
OpenAlexW4391175266

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.