PATENT CLAIM ANALYSIS

Application Number: 15766905
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["715", "771000"]

Abstract:
A system and method for visualizing safety events within a process plant includes accessing a cause and effect matrix (CEM) having a set of causes and a set of effects, wherein each of the set of causes represents a condition within the process plant and each of the set of effects represents an effect to be performed within the process plant, wherein the set of causes and the set of effects are representative of a set of monitored safety events within the process plant. The system and method further includes receiving a selection of a monitored safety event of the set of monitored safety events. The system and method may also include displaying, in a user interface, (i) an indication of the monitored safety event, and (ii) a current status of the monitored safety event. The system and method may also include detecting a change in status to the monitored safety event. Further, the system and method may include displaying, in the user interface, an updated status of the monitored safety event according to the change in status.

Claim (Index 2):
The computer-implemented method of  claim 1 , wherein detecting the change in status to the monitored safety event comprises:\n in response to a time period expiring, detecting the change in status to the monitored safety event.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 3.22951
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10655929', '10656005', '14740489', '12767534', '10401655']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3557805446048812
- 35 USC 102 Novelty (BERT): 0.5055247444169725
- Combined Prediction Score: 0.3707549645860903
- Mean Citation Score: 212.58189
- Max Citation Score: 224.61275
- Similarity Product: 125.60075631317495

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

Dataset: test