PATENT CLAIM ANALYSIS

Application Number: 16143276
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["340", "539220"]

Abstract:
A building management system includes one or more computer-readable storage media having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive a plurality of threat events, the received threat events associated with a plurality of threat categories, the plurality of assets associated with a plurality of locations. The instructions cause the one or more processors to generate a location-specific aggregated risk score, generate a category-specific risk metric indicating, and for each of at least two or more of the plurality of threat categories, generate a number of threat events associated with the threat categories, generate user interface data including, within a single interface, visual representations of both the location-specific aggregated risk scores for the two or more locations and the category-specific risk metrics for the two or more threat categories.

Claim (Index 5):
The building management system of  claim 1 , wherein the user interface data includes a mapping portion showing the two or more locations, and wherein the visual representations of the location-specific aggregated risk scores are provided within the mapping portion.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.375
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16143247', '16143282', '10813917', '12751995', '12627706']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.752933948082031
- 35 USC 102 Novelty (BERT): 0.6099122782276896
- Combined Prediction Score: 0.7386317810965969
- Mean Citation Score: 370.100878
- Max Citation Score: 571.8895
- Similarity Product: 458.0365166958572

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test