An integrated system of applying the use of Internet of Things, RFID and cloud computing: A case study of logistic management of Electricity Generation Authority of Thailand (EGAT) Mae Mao Lignite Coal Mining, Lampang, Thailand

Chieochan, Oran; SaoKaew, Aukit; Boonchieng, Ekkarat

doi:10.1109/kst.2017.7886126

Cited by 9 publications

(11 citation statements)

References 6 publications

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“…[6,21]. RFID systems can be classified by their type of frequency and region of frequency [13]: Low Frequency (LF), High Frequency (HF) and Ultra High Frequency (UHF). Unlike barcodes, RFID tags do not need to be within the recipient's field of view to be tracked, resulting in greater efficiency and speed in searching for items with RFID tags.…”

Section: Rfidmentioning

confidence: 99%

“…The works of Prudanov [11], Farris [12] Chieochan [13] present UHF RFID tags reading architectures using IoT. Prudanov [11] presented an architecture of reading UHF RFID tags using IoT.…”

Section: Related Workmentioning

confidence: 99%

“…Microservices were introduced in the field of IoT application because of their flexibility, low coupling and scalability, unlike monolithic applications, which become much larger in scale with even more complex structure. The use of cloud computing in the microservice architecture is very common, due to its high availability and extensibility that allows provisioning microservices quickly [10].Reading UHF RFID tags is a high-cost activity that can involve a large volume of data on a large scale, requiring considerable investment, and thus raising the cost of a project [11][12][13]. To reduce the cost of infrastructure and UHF RFID tag reading equipment, an architecture using IoT should be created.…”

mentioning

confidence: 99%

“…Reading UHF RFID tags is a high-cost activity that can involve a large volume of data on a large scale, requiring considerable investment, and thus raising the cost of a project [11][12][13]. To reduce the cost of infrastructure and UHF RFID tag reading equipment, an architecture using IoT should be created.…”

mentioning

confidence: 99%

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On the Design and Implementation of an IoT based Architecture for Reading Ultra High Frequency Tags

Santos

Canedo

2019

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Internet of Things comprises an increasing number of interconnected smart devices, where communication happens anytime, anywhere, reducing hardware costs and the complexity of the architectures. Reading Radio Frequency Identification tags using ultra high frequency is a high-cost activity because of its infrastructure and the radio frequency identification tag reading device for these frequencies. This work proposes an architecture that enables the cost reduction of Radio Frequency Identification tag reading equipment operating ultra high frequency in an infrastructure using cloud computing and microservices. The use of cloud computing and microservices was necessary due to scalability and the management of large volumes of data that can be generated by reading Radio Frequency Identification tags using ultra high frequency and the complexity of the architecture related to the theme of this work. The proposed architecture was applied in a real case study to verify its adherence and compliance. The proposed architecture can be used in any system that presents similar characteristics to the one proposed in this work. In scenarios where reading distance is a fundamental requirement, it is necessary to include an external antenna for better results. Other practical experiments will be carried out to evaluate the use of the proposed architecture in other contexts related to the use of Internet of Things and reading of Radio Frequency Identification tags.

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Section: Rfidmentioning

confidence: 99%

“…The works of Prudanov [11], Farris [12] Chieochan [13] present UHF RFID tags reading architectures using IoT. Prudanov [11] presented an architecture of reading UHF RFID tags using IoT.…”

Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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On the Design and Implementation of an IoT based Architecture for Reading Ultra High Frequency Tags

Santos

Canedo

2019

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“…The previous research [7] applied using IOT with RFID to find the best practice of logistic management for the Electricity Generation Authority of Thailand (EGAT) Mae Mao Mining, Lampang. The research applied the use of RFID for lignite coal trucks and data from RFID proceed automatically through a server and was stored into a private cloud computing.…”

Section: Previous Researchmentioning

confidence: 99%

Smart Farm: Applying the Use of NodeMCU, IOT, NETPIE and LINE API for a Lingzhi Mushroom Farm in Thailand

Boonchieng

Chieochan

Saokaew

2018

IEICE Trans. Commun.

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SUMMARY This research aims to find the best practice of prototyping a smart Lingzhi mushroom farm in Thailand. This research applied the use of NodeMCU with a humidity sensor and IOT platform to measure and monitor the humidity in the Lingzhi mushroom farm. The humidity data proceeds through NETPIE was developed and provided by NECTEC, Thailand as a free service for IOT. The humidity data was stored into a NET FEED (a sub service from NETPIE) and displayed on mobile devices and computers through NET FREEBOARD (another sub service of NETPIE). This technology also automatically controlled the sprinkler, fog pumps, and the functional status (switching on and off periodically) of push notifications through LINE API on the LINE Application. The equipment and tools used in this research were NodeMCU, humidity sensor, RTC (real time clock), relay module, sprinkler and fog pumps. C++ and Node.JS were used for programming. The services and protocol used were NETPIE (Network Platform for internet of everything) with subservices such as NETPIE FEED, NETPIE FREEBOARD, and NETPIE REST API. The LINE API was also included. The results of the research show that using NodeMCU with the humidity sensor and IOT platform demonstrates the best practice of smart farming.

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QR-Cloud-Edge Computing for Good Logistics

Davitadze

2023

2023 IEEE East-West Design &Amp; Test Symposium (EWDTS)

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An integrated system of applying the use of Internet of Things, RFID and cloud computing: A case study of logistic management of Electricity Generation Authority of Thailand (EGAT) Mae Mao Lignite Coal Mining, Lampang, Thailand

Cited by 9 publications

References 6 publications

On the Design and Implementation of an IoT based Architecture for Reading Ultra High Frequency Tags

On the Design and Implementation of an IoT based Architecture for Reading Ultra High Frequency Tags

Smart Farm: Applying the Use of NodeMCU, IOT, NETPIE and LINE API for a Lingzhi Mushroom Farm in Thailand

QR-Cloud-Edge Computing for Good Logistics

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