3FOOD

Third Industrial Revolution Consulting Group
IoT-Enabled Prognosis in Industry and Manufacturing
Among the value-added benefits emerging from the Internet of Things (IoT) is the application of
system-level prognostic and predictive science throughout the industrial sectors. Cloud, fog,
edge and distributed computing, 185,186 reliant upon pervasive wireless smart sensor networks
and Big Data analytics and smart algorithms, enables robust operational reliability, enhanced
service life, reduced capital and operating expenditures, and accrued productivity gains by
performing continuous intelligent preventive maintenance, fault detection and diagnosis, asset
management, and rigorous system design.
As recently summed up in Cloud-enabled prognosis for manufacturing, “Advanced
manufacturing depends on the timely acquisition, distribution, and utilization of information
from machines and processes across spatial boundaries. These activities can improve accuracy
and reliability in predicting resource needs and allocation, maintenance scheduling, and
remaining service life of equipment. As an emerging infrastructure, cloud computing provides
new opportunities to achieve the goals of advanced manufacturing. ”187
Classification of Prognosis Methods
Source: Gao et al (2015) 188
185 Mitchell, Gary (2015) Open Fog Consortium to Help Enable Scenarios for the Internet of Things,
themanufacturingconnection.com, December 2015, http://themanufacturingconnection.com/2015/12/openfog-consortium-to-help-enable-scenarios-for-the-internet-of-things/.
186 Enescu, Michael (2014) “From Cloud to Fog & The Internet of Things” LinuxCon, Chicago,
http://www.slideshare.net/MichaelEnescu/michael-enescu-keynote-chicago2014fromcloudtofogandiot.
187 Gao, R., L. Wang, R. Teti et al. (2015) Cloud-enabled prognosis for manufacturing, CIRP Annals - Manufacturing
Technology, http://dx.doi.org/10.1016/j.cirp.2015.05.011
188 Ibid., Gao et al. (2015)
221