PATENT CLAIM ANALYSIS

Application Number: 16183045
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["250", "338500"]

Abstract:
Apparatus and methods for rapidly detecting, localizing, imaging, and quantifying leaks of natural gas and other hydrocarbon and greenhouse gases. Scanning sensors, scan patterns, and data processing algorithms enable monitoring a site to rapidly detect, localize, image, and quantify amounts and rates of hydrocarbon leaks. Multispectral short-wave infrared detectors sense non-thermal infrared radiation from natural solar or artificial illumination sources by differential absorption spectroscopy. A multispectral sensor is scanned to envelop an area of interest, detect the presence and location of a leak, and raster scan the area around the leak to create an image of the leak. The resulting absorption image related to differential spectral optical depth is color mapped to render the degree of gas absorption across the scene. Analysis of this optical depth image, with factors including known inline pressures and/or surface wind speed measurements, enable estimation of the leak rate, i.e., emission mass flux of gas.

Claim (Index 36):
The imaging device of  claim 34 , wherein each filter is transmissive to light in a respective band of substantially 100 nm within a 1.8 to 2.6 micron wavelength range.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 98.0
- Lexical Diversity: 1.68317
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15923794', '15598052', '16129731', '15074840', '13229511']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7561894861383234
- 35 USC 102 Novelty (BERT): 0.5630177884265789
- Combined Prediction Score: 0.7368723163671489
- Mean Citation Score: 333.750918
- Max Citation Score: 487.53394
- Similarity Product: 335.31020524645686

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

Dataset: test