PATENT CLAIM ANALYSIS

Application Number: 15755620
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["340", "602000"]

Abstract:
In order to achieve highly accurate prediction across a wide area for disasters caused by rainfall, this disaster prediction system includes: soil moisture acquisition means that acquires amount of moisture in soil at a specified site, ground surface moisture acquisition means that acquires amount of moisture at a ground surface within a given range that includes the specified site, and estimation means estimates amount of moisture in soil at a freely-selected site in the given range or a parameter that indicates a property of soil at the freely-selected site in the given range, based on the amount of moisture in the soil at the specified site and the amount of moisture at the ground surface within the given range.

Claim (Index 2):
The disaster prediction system according to  claim 1 , wherein the at least one processing component is further configured to:\n estimate a parameter indicating a property of soil at the freely-selected site in the given range based on the amount of moisture in soil at the specified site and the amount of moisture at the ground surface within the given range, and estimates the amount of moisture in soil at the freely-selected site in the given range, based on the parameter that is estimated and the amount of rainfall at the site.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 88.0
- Lexical Diversity: 2.45098
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13168357', '10709155', '11278061', '15883017', '15229968']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6938781531659404
- 35 USC 102 Novelty (BERT): 0.4870619930372744
- Combined Prediction Score: 0.6731965371530738
- Mean Citation Score: 176.840306
- Max Citation Score: 193.77998
- Similarity Product: 147.57778873671174

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