PATENT CLAIM ANALYSIS

Application Number: 15997805
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["073", "170170"]

Abstract:
An acoustic disdrometer is provided for measuring precipitation. The acoustic disdrometer has an acoustic transducer positioned within an acoustic chamber defined by an acoustic shell. Precipitation impacting the acoustic shell generates sound waves that are collected by the acoustic transducer for processing.

Claim (Index 18):
A method of measuring precipitation, comprising:\n receiving, by a control unit associated with an acoustic disdrometer, an acoustic signal generated by an acoustic transducer responsive to liquid or solid precipitation directly impacting at a plurality of locations across the surface area of acoustic shell of the acoustic disdrometer; determining, by the control unit, an acoustic frequency and an acoustic power of the first acoustic signals corresponding to individual drops of precipitation; determining, by the control unit, a rate of precipitation based at least in part on the acoustic frequency and the acoustic power of the first acoustic signal and the surface area of the acoustic shell; receiving, by the control unit, a second acoustic signal generated by the acoustic transducer of the acoustic disdrometer, wherein the second acoustic signals are not caused by precipitation; determining, by the control unit, an acoustic frequency and an acoustic power of the second acoustic signal; and based on the acoustic frequency and an acoustic power of the second acoustic signals, identifying the source of the second acoustic signal.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 94.0
- Lexical Diversity: 1.55172
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15805202', '15452457', '10367645', '11513348', '13230323']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.67947646788435
- 35 USC 102 Novelty (BERT): 0.497229708350301
- Combined Prediction Score: 0.6612517919309451
- Mean Citation Score: 165.535822
- Max Citation Score: 288.54465
- Similarity Product: 269.66954617244306

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