PATENT CLAIM ANALYSIS

Application Number: 15936870
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["700", "009000"]

Abstract:
A scalable industrial data ingestion and analysis architecture integrates and collects data from multiple diverse sources at one or more industrial facilities. Data sources can include plant-level industrial devices and higher-level business systems. The data can be integrated and collected from multiple sources at an on-premise edge or gateway device, which sends the data to event queues on the cloud platform. The data queues orchestrate and store the data on cloud storage, and an analytics layer performs business analytics or other types of analysis on the stored data to produce various outcomes. Similar analytic platforms can also be implemented at the device level, and analytic functions can be scaled between the device level and higher levels in accordance with the scope of a given analytic function.

Claim (Index 11):
A method, comprising:\n receiving, by a system comprising a processor, data files from industrial devices and systems at one or more industrial facilities, wherein the data files accord to different file formats; generating, by the system, relationship metadata identifying correlations between data items contained in the data files; storing, by the system, the data items in association with the relationship metadata; identifying, based on an analysis of a first subset of the data items and a first subset of the relationship metadata, ranges of performance metrics of the industrial devices and systems that correlate with a defined production outcome over multiple production cycles; generating performance model data that records the ranges of the performance metrics; identifying the performance issue based on a comparison of the performance model data with a second subset of the data items and a second subset of the relationship metadata received subsequent to the first subset of the data items and the first subset of the relationship metadata; and generating performance model data that records the ranges of the performance metrics; identifying a performance issue associated with one or more of the industrial devices and systems based on a comparison of the performance model data with a second subset of the data items and a second subset of the relationship metadata received subsequent to the first subset of the data items and the first subset of the relationship metadata; and sending, by the system, a dashboard interface to a client device, wherein the dashboard interface displays a notification of the performance issue and a recommended countermeasure determined to mitigate the performance issue.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 90.0
- Lexical Diversity: 1.71795
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14928305', '15923127', '14087873', '13608821', '15278139']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3555060306243768
- 35 USC 102 Novelty (BERT): 0.4880173861874848
- Combined Prediction Score: 0.3687571661806876
- Mean Citation Score: 201.445994
- Max Citation Score: 226.54193
- Similarity Product: 170.3564468538368

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test