학술논문

A Systems Approach to Real-World Deployment of Industrial Internet of Things
Document Type
Conference
Source
2020 IEEE Congress on Evolutionary Computation (CEC) Evolutionary Computation (CEC), 2020 IEEE Congress on. :1-8 Jul, 2020
Subject
Bioengineering
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Monitoring
Robot sensing systems
Encapsulation
Wireless sensor networks
Adhesives
Internet of Things
Data acquisition
IIoT
Sensors
Systems
Real-world
Language
Abstract
Deployment of the Internet of Things (IoT) in real industrial scenarios is fraught with unseen challenges and planning intricacies. The inside engineering and methodologies behind a successful Industrial IoT (IIoT) setup are seldom discussed. In this paper, we describe a systems approach to identify, integrate, and deploy the different IIoT modules in a bottom-up manner. The process that go from first identifying and labelling the various assets to be monitored, to their abstraction and integration for a given industrial scenario, forms the major crux of the work presented in this paper. We deployed several sensor nodes in the Offshore Renewable Energy Catapult site, located in Blyth, UK. Each sensor node monitored a specific asset and communicated via LoRaWAN to our local Data Hub. A simple query interface and visualisation dashboard allowed real-time data assessment and rapid asset monitoring. To make the proposed approach easy to comprehend and applicable to other scenarios, we extracted a minimal translational bottom-up flowchart. The systems approach described here offers a robust methodology to plan out a real-world IIoT deployment.