Evidence map›Paper›PMID 35844261›Full record

ArticleInternational journal of analytical chemistry2022

Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology.

Yi Wang, Deqiang Zhang, Shengliang Pei, Peiyong He

RetractedAbstract readRetracted Publication
In one paragraph

Article in International journal of analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

4 authors.

Yi WangChina Institute of Geological Environment Monitoring, Beijing 100081, China.ORCID https://orcid.org/0000-0003-3757-1184
Deqiang ZhangChina Institute of Geological Environment Monitoring, Beijing 100081, China.ORCID https://orcid.org/0000-0002-6261-9584
Shengliang PeiChina Institute of Geological Environment Monitoring, Beijing 100081, China.ORCID https://orcid.org/0000-0001-5519-6643
Peiyong HeChina Institute of Geological Environment Monitoring, Beijing 100081, China.ORCID https://orcid.org/0000-0002-1285-7744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A landslide monitoring technology based on BeiDouand, a wireless sensor network, is proposed in order to solve the problem that landslide has brought severe threat to people's life and safety of property. The landslide monitoring system based on the BeiDouand wireless sensor network is analyzed and designed from the point of view of hardware and software. BeiDou message and GPRS double redundancy transmission mode are adopted to improve the reliability of transmission. It also adopts the factor compression method to improve the effectiveness of BeiDoutransmission and adopts queue management and packet scheduling mechanism to improve the real-time and reliability of wireless sensor network transmission. The result is that, as the number of visible satellites increases, the efficiency of the algorithm decreases. However, the overall efficiency of the algorithm has been significantly improved. When there are 28 visible satellites, the number of algorithm times decreases from 20,475 to 1,140, and the efficiency of the algorithm increases by 16.9 times. The GDOP simulated by the fast star selection algorithm proposed in this paper is less than 3.9, reaching an excellent grade.

Identifiers

PMID35844261
PMCPMC9283076

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.