PATENT CLAIM ANALYSIS

Application Number: 15760624
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["702", "002000"]

Abstract:
The present invention discloses a method for detecting glacier melting based on tracer technology. The method includes the following steps. 1. Different tracer agents with equal concentration are respectively added into a plurality of water samples. The water sample and the tracer agents are mixed well. Meanwhile, the volume and the mass of each glacier model are recorded. A plurality of water samples added with tracer agents are frozen layer by layer from inside to outside to establish a plurality of glacier models. 2. The surrounding environmental factors of the glacier model are adjusted. Water samples of the glacier models melted under different environmental factor conditions are collected. Furthermore, the concentrations of different kinds of tracer agents in the water samples are measured.

Claim (Index 5):
The method for detecting glacier melting based on the tracer technology of  claim 4 , wherein a specific calculation method of an average variation of the melting rate a actual  and a specific calculation method of an actual melting rate of the glacier V actual  is\n a actual =\u03a3( dv i /d\u0394V i )/ n*  V actual =a actual *V actual  wherein, a actual  is the average variation of the melting rate of the glacier model, dv i /d\u0394V i  is a variation of the melting rate of each ice layer of the glacier model, v actual  is the actual melting rate of the glacier, dv i  is a partial melting rate of each ice layer, and V actual  is an actual volume of the glacier.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.91549
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12248072', '11551125', '13647255', '14271233', '14444806']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1821476815622009
- 35 USC 102 Novelty (BERT): 0.5062098891562532
- Combined Prediction Score: 0.2145539023216061
- Mean Citation Score: 173.808472
- Max Citation Score: 215.3326
- Similarity Product: 136.25956495461466

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