Method and apparatus for pneumatically conveying particulate material including a user-visible IoT-based classification and predictive maintenance system noting maintenance state as being acceptable, cautionary, or dangerous
US10598520B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 22, 2019 |
| Grant date | Mar 24, 2020 |
| Priority date | — |
| Expiry date | Jan 22, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16Y40/40
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method and system of a predictive maintenance IoT system comprises receiving a plurality of sensor data over a communications network and determining one or more clusters from the sensor data based on a pre-determined rule set. Further, the sensor data is classified through a machine learning engine and the sensor data is further base-lined through a combination of database architecture, data training architecture, and a base-lining algorithm. Intensity or degree of fault state is mapped to a fuel gauge to be depicted on a user interface and a predictive maintenance state is predicted through a regression model and appropriate alarm is raised for user action.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.