The Integration of an API619 Screw Compressor Package into the Industrial Internet of Things

10th International Conference on Compressors and their Systems

Milligan, W.J.^1 ; Poli, G.^1 ; Harrison, D.K.^2

Howden Compressors, Old Govan Road, Ranfrew, United Kingdom^1

Glasgow Caledonian University, Glasgow, United Kingdom^2

关键词: Automation technology;    Big data technologies;    Critical measurements;    Industrial internets;    Industrial settings;    Internet of thing (IOT);    Machine learning technology;    New business models;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/232/1/012088/pdf
DOI  :  10.1088/1757-899X/232/1/012088

来源: IOP

【 摘 要 】

The Industrial Internet of Things (IIoT) is the industrial subset of the Internet of Things (IoT). IIoT incorporates big data technology, harnessing the instrumentation data, machine to machine communication and automation technologies that have existed in industrial settings for years. As industry in general trends towards the IIoT and as the screw compressor packages developed by Howden Compressors are designed with a minimum design life of 25 years, it is imperative this technology is embedded immediately. This paper provides the reader with a description on the Industrial Internet of Things before moving onto describing the scope of the problem for an organisation like Howden Compressors who deploy multiple compressor technologies across multiple locations and focuses on the critical measurements particular to high specification screw compressor packages. A brief analysis of how this differs from high volume package manufacturers deploying similar systems is offered. Then follows a description on how the measured information gets from the tip of the instrument in the process pipework or drive train through the different layers, with a description of each layer, into the final presentation layer. The functions available within the presentation layer are taken in turn and the benefits analysed with specific focus on efficiency and availability. The paper concludes with how packagers adopting the IIoT can not only optimise their package but by utilising the machine learning technology and pattern detection applications can adopt completely new business models.