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 5):
The system of  claim 1 , wherein\n the analysis component is further configured to\n identify, based on another analysis of a third subset of the data items and a third subset of the relationship metadata, operator behaviors that correlate with a defined production outcome over multiple production cycles, \n generate operator behavior model data that records the operator behaviors, and \n identify, based on a comparison of the operator behavior model data with a fourth subset of the data items and a fourth subset of the relationship metadata received subsequent to the third subset of the data items and the third subset of the relationship metadata, a deviation of a current operator behavior from the operator behaviors defined by the operator behavior model data, and \n the presentation component is further configured to, in response to identification of the deviation, send another dashboard interface to the client device or another client device, the other dashboard interface rendering a notification of the deviation.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 90.0
- Lexical Diversity: 1.71795
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14928305', '15923127', '14087873', '13608821', '15278139']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3785165847822748
- 35 USC 102 Novelty (BERT): 0.5111584584116043
- Combined Prediction Score: 0.3917807721452078
- Mean Citation Score: 201.445994
- Max Citation Score: 226.54193
- Similarity Product: 128.53875199463607

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