Data optimization for communication between wireless IoT devices and Cloud platforms in production process

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63521439" target="_blank" >RIV/70883521:28140/18:63521439 - isvavai.cz</a>

Výsledek na webu

<a href="http://eudl.eu/pdf/10.4108/eai.6-11-2018.2279672" target="_blank" >http://eudl.eu/pdf/10.4108/eai.6-11-2018.2279672</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4108/eai.6-11-2018.2279672" target="_blank" >10.4108/eai.6-11-2018.2279672</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Data optimization for communication between wireless IoT devices and Cloud platforms in production process

Popis výsledku v původním jazyce

The article deals with optimization of input data for wireless IoT devices with database handled by cloud framework. Tested hardware consists of ESP32 board with Wi-Fi technology support (Thinger.IO cloud platform) and Sensor Tag development boards with integrated sensors and Bluetooth connection communicating with IBM Watson IoT framework. The new idea is how to send optimized measured data to IoT platform which is limited to one message per second usually. We propose two separate approaches for input data: accumulation data in IoT device to multi-value packet and noise elimination solved by advanced interpolation (Kalman filter). Both principles can be combined to reduce noise and increase of data frequency stored in cloud platform for next knowledge datamining. Data accumulation can be used for machine or product vibration analyses (acceleration data packed during 1 second) in cloud platform. Interpolated data can remove noise from actual product operational speed (gyroscope/magnetometer corrected value) to reduction false alarm messages in cloud framework.

Název v anglickém jazyce

Data optimization for communication between wireless IoT devices and Cloud platforms in production process

Popis výsledku anglicky

The article deals with optimization of input data for wireless IoT devices with database handled by cloud framework. Tested hardware consists of ESP32 board with Wi-Fi technology support (Thinger.IO cloud platform) and Sensor Tag development boards with integrated sensors and Bluetooth connection communicating with IBM Watson IoT framework. The new idea is how to send optimized measured data to IoT platform which is limited to one message per second usually. We propose two separate approaches for input data: accumulation data in IoT device to multi-value packet and noise elimination solved by advanced interpolation (Kalman filter). Both principles can be combined to reduce noise and increase of data frequency stored in cloud platform for next knowledge datamining. Data accumulation can be used for machine or product vibration analyses (acceleration data packed during 1 second) in cloud platform. Interpolated data can remove noise from actual product operational speed (gyroscope/magnetometer corrected value) to reduction false alarm messages in cloud framework.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 3rd EAI International Conference on Management of Manufacturing Systems

ISBN

978-1-63190-167-6

ISSN

2593-7642

e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

"nestrankovano"

Název nakladatele

EAI – European Alliance for Innovation, n.o.

Místo vydání

Bratislava

Místo konání akce

Dubrovník

Datum konání akce

6. 11. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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