PATENT CLAIM ANALYSIS

Application Number: 16194027
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-09
Patent Classification: ["340", "540000"]

Abstract:
A computing system may evalaute the operation of a manufacturing network using at least two of (a) macro-level threshold criteria indicating anomalous operation of the manufacturing network as a whole, (b) micro-level threshold criteria indicating anomalous operation of any of a plurality of micro-networks in the manufacturing network, (c) path-level threshold criteria indicating anomalous operation of any of a plurality of node paths in the manufacturing network, or (d) node-level threshold criteria indicating anomalous operation of any of a plurality of individual nodes in the manufacturing network. Based on the evaluating, computing system may identify at least one anomaly in the manufacturing network and then trigger at least one action that is directed to resolving the at least one anomaly.

Claim (Index 10):
The computing system of  claim 1 , wherein the program instructions that are executable by the at least one processor to cause the computing system to evaluate the operation of the manufacturing network using the node-level threshold criteria comprise program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to perform the following functions for each respective node of the plurality of individual nodes of the manufacturing network:\n determine a respective health score for the respective node at or before a given time using a recursive process that determines respective health scores for nodes in the manufacturing network on a topology level-by-level basis starting with the plurality of edge nodes of the manufacturing network and ending with the root node of the manufacturing network; and use the respective health score for the respective node at or before the given time as a basis for determining whether the respective node was anomalous at the given time.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.39286
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15910920', '15910361', '15827987', '14253945', '15273213']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7389443003785792
- 35 USC 102 Novelty (BERT): 0.5513345714310307
- Combined Prediction Score: 0.7201833274838243
- Mean Citation Score: 236.74095000000003
- Max Citation Score: 382.2804
- Similarity Product: 323.85582388937473

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