PATENT CLAIM ANALYSIS

Application Number: 15866451
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-06
Patent Classification: ["169", "053000"]

Abstract:
Methods of and systems for spraying a defensive path around vulnerable neighborhoods out in front of wild fires to make sure that an environmentally-safe fire break, created by the spray application of anti-fire (AF) liquid, defends homes from the destructive forces of raging wild fires. The methods include spraying homes with environmentally-clean anti-fire (AF) chemical liquid, in advance of wild fires. The preferred anti-fire chemical liquid used does not depend on water to extinguish fire, so that, even after a month or two after spray application on dry brush around the neighborhood, the anti-fire chemical continues to work by stalling the ability of a fire to advance and consume homes.

Claim (Index 13):
The wireless system of  claim 9 , wherein said GPS-tracked anti-fire (AF) liquid spraying aircraft is a drone which comprises a GPS-tracked and remotely monitored AF chemical liquid spray control subsystem interfaced with a micro-computing platform for monitoring the spraying of AF chemical liquid from said drone when located at specific GPS-indexed location coordinates, and records of such spray application being logged and provided to the network database system.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 86.0
- Lexical Diversity: 1.70833
- Patent Class: 169.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15866456', '15866454', '15829948', '15829914', '13068268']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6702348651235549
- 35 USC 102 Novelty (BERT): 0.533183031875184
- Combined Prediction Score: 0.6565296817987178
- Mean Citation Score: 279.429758
- Max Citation Score: 343.93784
- Similarity Product: 226.66493114931103

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