An Online Calibration Method Based on n-Tuple and Opportunistic Communication for Mine Mass Portable Gas Sensors.

Gang Wang, Yang Zhao, Zeheng Ding, Xiaohu Zhao

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. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

4 authors.

Gang WangIoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou 221000, China.ORCID 0000-0002-1265-412X

Yang ZhaoIoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou 221000, China.

Zeheng DingIoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou 221000, China.

Xiaohu ZhaoIoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou 221000, China.

Funding

National Key Research and Development Program of China 2017YFC0804404

6 · The paper itself

Abstract

Due to the increasing deployment of the Internet of Things (IoT) in the mining industry, portable gas monitoring devices have been widely used. Sensor calibration of large-scale portable gas monitoring devices is becoming an urgent problem to be solved. An online sensor calibration algorithm based on n-tuple and opportunistic communication is proposed based on the specific characteristics (i.e., 'single-sensor, multi-position' and 'multi-sensor, single-position') of each portable gas monitoring device employed. In this paper, data collected from portable and fixed sensors were defined as multi-dimensional data points and gas monitoring data pairs, respectively. The cluster-based self-adaptive weighted data fusion algorithm and multi-period single sensor reliability fusion algorithm were proposed and used for overall judging. The overall judgments were broadcast to each wireless access point by network, and the reliability of the calibration information transmission was enhanced by opportunistic communications. The simulation results revealed that efforts required for the calibration of portable sensors were reduced significantly, and their reliability was improved.

Indexed as

data fusion algorithmgas monitoring data pairsmulti-dimensional data pointsunderground coal mine

Identifiers

PMID33918126

DOI10.3390/s21072451

PMCPMC8036808

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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.