PATENT CLAIM ANALYSIS

Application Number: 16153201
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["398", "019000"]

Abstract:
A fault detection method and device is disclosed. The method includes obtaining, by an optical transport network (OTN) device, a first OTN frame. The first OTN frame includes a plurality of payload areas. Each payload area includes payload check information and payload data. The method further includes performing fault detection, according to the payload check information, of payload data of a payload area in which the payload check information is located. The first OTN frame is divided into a plurality of payload areas, and corresponding payload check information is carried in each payload area.

Claim (Index 20):
A method, comprising:\n receiving, by a first optical transport network (OTN) device, a first payload area of a plurality of payload areas in a first OTN frame that is transmitted by a second OTN device in a network with the first OTN device, wherein each payload area in the first OTN frame carries payload check information that relates to checking payload data of the payload area; and performing fault detection on the first payload area that is received, according to the payload check information in the first payload area on payload data in the first payload area, before receiving, by the first OTN device, another payload area of the plurality of payload areas; wherein payload data in each payload area comprises a portion of service data that is carried in the first OTN frame sent by the second OTN device to the first OTN device.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 97.0
- Lexical Diversity: 2.32609
- Patent Class: 398.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16046632', '13893929', '12612397', '13653521', '13073693']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6656438892440053
- 35 USC 102 Novelty (BERT): 0.5118282355506829
- Combined Prediction Score: 0.6502623238746731
- Mean Citation Score: 195.884796
- Max Citation Score: 202.5086
- Similarity Product: 130.95891273489

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

Dataset: test