PATENT CLAIM ANALYSIS

Application Number: 15947879
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["706", "015000"]

Abstract:
A fluid or water meter system includes a fluid supply and a receiving center.  20, 30  connected via a supply line  21 . Further, a fluid metering member  40  is coupled to the supply line  21 , and includes a fluid regulating member  41  to regulate the fluid therethrough, and a data transceiver  42 , coupled to the fluid regulating member  41  to regulate the supply of fluid. A self-power generating source is also provided for the continuous charging of the fluid metering member. Various self-generating sources, such as, a thermoelectric generator, a water battery, a power turbine, and radio spectrum may be used for said purpose. The system can be provided with rechargeable battery for charging the battery and storing power. Moreover, a network operation center  60  is further developed to include information technology and information technology.  40 . Further in an optional embodiment, including the smart system, including an Artificial Neural Network (ANN) module  2030  for self-training. The self-taught smart system identifies individual events (eg, flushing, showering, washing machine cycles, etc.), and limiting the flow of the total volume.

Claim (Index 4):
The smart fluid meter system of  claim 3 , wherein the transceivers and the ANN  2030  are configured to measure smallest of a volume of the fluid flow at the client end to characterize the flow patterns of the fluid at a level of granularity required for event identifications for a first time at the client end.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 91.0
- Lexical Diversity: 2.0
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15766449', '15389207', '14135358', '12830920', '15016178']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3820616321415926
- 35 USC 102 Novelty (BERT): 0.4983075350543203
- Combined Prediction Score: 0.3936862224328654
- Mean Citation Score: 161.765816
- Max Citation Score: 252.2005
- Similarity Product: 184.03822829827664

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

Dataset: test