Evidence map›Paper›PMID 35890819›Full record

ArticleSensors (Basel, Switzerland)2022

Internet of Things: Development Intelligent Programmable IoT Controller for Emerging Industry Applications.

Ti-An Chen, Shu-Chuan Chen, William Tang, Bo-Tsang Chen

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Ti-An ChenDepartment of Business Administration, JinWen University of Science & Technology, New Taipei City 231307, Taiwan.
Shu-Chuan ChenDepartment of Business Administration, JinWen University of Science & Technology, New Taipei City 231307, Taiwan.
William TangCollege of Management, National Taipei University of Technology, Taipei 10608, Taiwan.
Bo-Tsang ChenSuncre Smart Auto Technology Co., Ltd., Tainan 70815, Taiwan.
Jinwen University of Science and Technology · TWNational Taipei University of Technology · TW

Funding

Small and Medium Enterprise Administration, Ministry of Economic Affairs of Taiwan SBIR-1C1090090
6 · The paper itself

Abstract

The Internet of Things (IoT) has become critical to the implementation of Industry 4.0. The successful operation of smart manufacturing depends on the ability to connect everything together. In this research, we applied the TOC (Theory of Constraints) to develop a wireless Wi-Fi intelligent programmable IoT controller that can be connected to and easily control PLCs. By applying the TOC-focused thinking steps to break through their original limitations, the development process guides the user to use the powerful and simple flow language process control syntax to efficiently connect to PLCs and realize the full range of IoT applications. Finally, this research uses oil-water mixer equipment as the target of continuous improvement and verification. The verification results meet the requirements of the default function. The IoT controller developed in this research uses a marine boiler to illustrate the application. The successful development of flow control language by TOC in this research will enable academic research on PLC-derivative applications. The results of this research will help more SMEs to move into smart manufacturing and the new realm of Industry 4.0.

Indexed as

Internet of Things (IoT)programmable logic controller (PLC)sensor informationsmart manufacturingTheory of Constraints (TOC)

Identifiers

PMID35890819
PMCPMC9317047
OpenAlexW4285011957

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.