PATENT CLAIM ANALYSIS

Application Number: 16424853
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-12
Patent Classification: ["705", "004000"]

Abstract:
Appearance data associated with a target commodity is collected by a blockchain node device, where original appearance data associated with the target commodity is registered with a distributed database associated with a blockchain in advance. Whether a damage event occurs on the target commodity is determined by the blockchain node device based on the appearance data and the original appearance data. In response to a determination that the damage event occurs on the target commodity, a smart contract corresponding to the target commodity is invoked by the blockchain node device. Commodity damage claim logic stated in the smart contract is executed by the blockchain node device to complete a commodity damage claim for the target commodity.

Claim (Index 4):
The computer-implemented method of  claim 1 , wherein determining whether a damage event occurs on the target commodity comprises:\n evaluating a damage degree of the target commodity based on the appearance data and the original appearance data to obtain a damage degree score used to indicate the damage degree; determining whether the damage degree score reaches a predetermined threshold; and if it is determined that the damage degree score reaches the predetermined threshold, determining that the damage event occurs on the target commodity.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 100.0
- Lexical Diversity: 2.54167
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16390776', '15824450', '15296953', '16366043', '15588607']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.116820784271832
- 35 USC 102 Novelty (BERT): 0.4979965392211906
- Combined Prediction Score: 0.1549383597667678
- Mean Citation Score: 184.931922
- Max Citation Score: 193.15428
- Similarity Product: 118.11800316346408

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

Dataset: test