PATENT CLAIM ANALYSIS

Application Number: 15777646
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["062", "282000"]

Abstract:
Systems and methods are disclosed which enable an atmospheric water generator to measure a variety of water quality parameters throughout its subsystems and conduits, and implement corresponding response protocols when the measurements deviate from their normal ranges. The ranges may be reprogrammable locally at the generator or remotely from the generator. The response protocols may include self-cleaning regimes to help quickly and efficiently bring deviant measurements back into their normal ranges. Generator notification, alarm and shutdown protocols may be implemented when the measurements reach unsafe values, in order to protect the consumer and ensure their ongoing confidence in the quality of the water dispensed from the generator. Subsystems are also described which improve the operational efficiency of the generator, keep the cold dispensing line clear of bacteria, and maximize the useful life of UV bulbs within the water collection and cold storage tanks.

Claim (Index 11):
An atmospheric water generator as defined in  claim 9  wherein the dispense temperature controller is configured to calculate the respective valve command protocol following the user's selection of the dispense temperature.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 93.0
- Lexical Diversity: 1.68132
- Patent Class: 62.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15217971', '14787747', '15712037', '14857521', '13252132']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7948297714405989
- 35 USC 102 Novelty (BERT): 0.4889009799675739
- Combined Prediction Score: 0.7642368922932964
- Mean Citation Score: 153.44300600000005
- Max Citation Score: 173.80033999999995
- Similarity Product: 122.0578986661982

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