PATENT CLAIM ANALYSIS

Application Number: 16078730
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["356", "051000"]

Abstract:
The present disclosure describes a device and corresponding method for measuring tar in a tar environment, e.g., a tar producing environment such as a stove or a combustion engine, based on UV absorption spectroscopy. A first measurement along an optical path in the tar environment is performed at a wavelength less than 340 nm at which both tar and non-tar elements absorb. This measurement is compensated for non-tar absorption by means of a second measurement at a wavelength equal to or greater than 340 nm at which tar does not absorb. From the non-tar compensated absorbance value a measure of tar in the tar environment is derived and an air intake in the tar environment is regulated based on the measure of tar.

Claim (Index 43):
The device according to  claim 30 , configured such that the light has a third wavelength greater than 340 nm, and\n wherein the at least one light detection element for receiving the light from the at least one light generating element is configured for obtaining a third light signal from the light having the third wavelength greater than 340 nm, and wherein the processing unit is configured for deducing a third absorbance value from the third light signal, such that the third wavelength and the third absorbance values allows for deduction of the non-tar compensated absorbance.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 96.0
- Lexical Diversity: 1.88406
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13296867', '15005850', '13434924', '12681030', '14464964']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.700430990962734
- 35 USC 102 Novelty (BERT): 0.4667568887179523
- Combined Prediction Score: 0.6770635807382558
- Mean Citation Score: 123.1504952
- Max Citation Score: 133.5026
- Similarity Product: 96.078547912395

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