PATENT CLAIM ANALYSIS

Application Number: 16239886
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["119", "166000"]

Abstract:
A system and method for automatically flushing urine from a pet litter box are disclosed. In one embodiment, the system and method may be directed to a combination of a urine-separating pet litter box with odor controlling conditionally non-absorbent litter and an automatic flushing device. The urine-separating pet litter box includes an upper litter tray with a perforated bottom and a lower liquid holding tank, which holds water inside. The lower liquid holding tank is connected to water intake pipes and a drainpipe and flushes the urine and holding water and fills freshwater in the lower liquid holding tank by detecting a water level of the holding water in the lower liquid holding tank with sensors. The flushing was performed by using a Venturi pump effect to control two electrical valves open or close. In some embodiment, Sodium Sesquicarbonate (SSC) may be used as conditionally non-absorbent litter for complete disposal of feces.

Claim (Index 11):
The method of  claim 9 , wherein the ratio of the holding water and discharged urine is maintained as 90 percent to 10 percent when the water level of the holding water and the discharged urine reaches at the maximum water level.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 99.0
- Lexical Diversity: 1.87356
- Patent Class: 119.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15684766', '11985441', '13473660', '13001707', '11208016']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7898771933918913
- 35 USC 102 Novelty (BERT): 0.5657894375381386
- Combined Prediction Score: 0.7674684178065161
- Mean Citation Score: 317.176178
- Max Citation Score: 574.1488
- Similarity Product: 325.0045557344437

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