US 2019/0102352 A1 · MULTI-ENGINE MODELING FOR MONITORING, DIAGNOSTICS, OPTIMIZATION AND CONTROL

Abstract

Modular analytics engines are provided for industrial automation applications. The engines may be instantiated on a data-driven basis, such as by receipt of a data structure comprising annotated data relating to a machine or process to be monitored and/or controlled. The modules may comprise, for example, modules for modeling the machine or process, classification modules, optimization modules, and control modules. Output of the modules may comprise data structures, and these may be used as inputs to the same type or different types of modules. Multiple of the modules may be instantiated at the same level in the machine or process, or at different levels, such as in a department, institution, factory, or enterprise.

Claims20

Dependent claims

A system comprising:

an annotator that receives input data derived from the sensed data and/or control data of a controlled machine and that annotates the input data to produce an annotated input data structure;
and
an analytics engine executed by a processor, the analytics engine comprising multiple different analytics modules each instantiated upon request and acting upon the annotated input data structure to carry out an automation control analytics operation and to produce an output data structure based upon the operation.

Dependencies are inferred from the claim text.

Facts

Application

15/720,705Filed 29 Sep 2017

Published

4 Apr 2019

Term ends

Not estimatedThe source records don’t support an estimate.

Classification11 codes

G06F 17/11
Complex mathematical operations: for solving equations , e.g. nonlinear equations, general mathematical optimization problems
G05B 23/0221
Characterised by the fault detection method dealing with either existing or incipient faults: preprocessing measurements, e.g. data collection…
G06F 16/212
Schema design and management: with details for data modelling support
G06F 16/215
Design, administration or maintenance of databases: improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or…

Multi-engine modeling for monitoring, diagnostics, optimization and control

Life of this patent

Multi-engine modeling for monitoring, diagnostics, optimization and control

Life of this patent

Abstract

Claims20