PATENT CLAIM ANALYSIS

Application Number: 15925651
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["340", "870110"]

Abstract:
Given a node of a utility service distribution network, a topology of a subset of the distribution network having the given node as a root node and one or more child nodes branching from the given node is determined. The topology may be determined based on relationships or correlations of utility usage information between the given node and a plurality of potential nodes that are considered in the topology determination. Upon determining the topology associated with the given node, the determined topology may be used to detect fraud and leakage that may occur in the distribution network on a regular basis or upon request. If fraud or leakage is detected in the distribution network, the system may schedule a follow-up and/or field investigation to investigate and fix the fraud or the leakage in the distribution network.

Claim (Index 28):
The method as recited in  claim 27 , wherein the determining whether a discrepancy exists comprises at least one of:\n determining whether a value change associated with the given utility metering node is attributable to a combination of one or more value changes associated with at least one of the one or more other utility metering nodes, or determining whether a difference exists between a value associated with the given utility metering node and a sum of values associated with the one or more other utility metering nodes with respect to the physical quantity at a particular time.

Metadata:
- Claim Count in Document: 110.0
- Percentile: 90.0
- Lexical Diversity: 2.10294
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11838185', '12721948', '11104155', '13898570', '12851830']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7444124308792311
- 35 USC 102 Novelty (BERT): 0.4972157197886097
- Combined Prediction Score: 0.719692759770169
- Mean Citation Score: 135.10078400000003
- Max Citation Score: 158.54856999999996
- Similarity Product: 97.67743842261312

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