PATENT CLAIM ANALYSIS

Application Number: 15932005
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["340", "506000"]

Abstract:
Wireless moisture detection system using water soluble insulated wire or water soluble conductors as sensor inputs to a programmed microcontroller to determine if the water soluble sensors have been penetrated by moisture dissolving the soluble materials and changing the electrical characteristics of the sensor providing an interrupt to the microcontroller to signal the presence of moisture for the monitor to wirelessly communicate to the monitoring system.

Claim (Index 6):
A moisture sensor system that monitors for moisture penetrating a material comprising:\n a moisture sensor electrically connected to a microcontroller interrupt input circuit; said microcontroller monitors interrupt input in a low power sleep mode of operation; said moisture sensor penetrated by a liquid triggers the microcontroller interrupt software routine; the software initiates a RF transmission repeatedly signaling a wet sensor to the controller until said sensor is replaced with a dry sensor; and the software signals the controller with RF transmission the sensor has been replaced and the monitor is operational; and said software returns the microcontroller to monitoring the microcontroller interrupt in a low power sleep mode.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 1.52273
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13439853', '12750496', '14583174', '12090659', '15396346']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6417943739650215
- 35 USC 102 Novelty (BERT): 0.4736872151129662
- Combined Prediction Score: 0.624983658079816
- Mean Citation Score: 115.9782666
- Max Citation Score: 118.717094
- Similarity Product: 83.12709158114123

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