PATENT CLAIM ANALYSIS

Application Number: 15987307
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-04
Patent Classification: ["169", "053000"]

Abstract:
A first drone equipped with a high energy Directional Ultrasound Parametric Speaker Array and a second drone equipped with an Acoustic Dispersion Cannon are used to fight wildfire. The first drone is distanced far from a burning flame but in close proximity to a fire target. Both drones are guided by GPS to communicate with remote operators. Once the target is locked, the first drone blasts the target with Amplitude Modulated Ultrasound. The Ultrasound is self-demodulated into a lower frequency audio sound when it encounters a hot flame of richly charged ions. The lowered frequency sound pushes and pulls the flame forward and backward rapidly away from the combustion source, causing it to be disconnected from the flame which instantly cools down and is extinguished. The second drone blasts the combustible source with powerful sonic shockwaves to disperse the still hot particulates further apart to prevent the source being reignited.

Claim (Index 18):
The method of  claim 16 , further comprising demodulating ultrasonic waves from the sound waves into audio waves with a variable frequency and variable amplitude to cause insect pests, including caterpillars, to die based on a body resonation with a frequency of the sonic waves.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 93.0
- Lexical Diversity: 1.65625
- Patent Class: 169.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15724943', '15269173', '14824509', '15849539', '15219137']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6528038195363804
- 35 USC 102 Novelty (BERT): 0.5006257323930013
- Combined Prediction Score: 0.6375860108220426
- Mean Citation Score: 178.98094
- Max Citation Score: 242.95021
- Similarity Product: 163.0617024712682

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

Dataset: test