Rapid Prototyping of IoT Applications for the Industry
| Autor: | Jozsef Domokos, Katalin Ferencz |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Rapid prototyping
MQTT 0209 industrial biotechnology System development Industry 4.0 Computer science business.industry 020209 energy 02 engineering and technology Python (programming language) NoSQL computer.software_genre 020901 industrial engineering & automation Computer data storage 0202 electrical engineering electronic engineering information engineering business Software engineering Internet of Things computer computer.programming_language |
| Zdroj: | 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR). |
| Popis: | In this article a novel approach to rapid IoT application prototype design and development is presented using an existing experimental dataset and a functional model. Using the existing data, we populate our NoSQL Apache Cassandra database cluster with legacy data and generate similar data using a python code, considering the Mosquitto MQTT protocol implementation and Node-RED node.js development environment. Using Node-RED, we display the data already collected, and dynamically create new data that can be monitored in real-time in the provided dashboard. The possibilities and utility of this approach are explored in the article, and a simple prototype application for modeling the open access Combined Cycle Power Plant (CCPP) dataset provided by the UCI Machine Learning Repository is presented to prove the efficiency and rapidity of IoT application development. The presented system development approach can be used in industrial environment for rapid development of IIoT applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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