PATENT CLAIM ANALYSIS

Application Number: 16356574
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-10
Patent Classification: ["370", "242000"]

Abstract:
Embodiments of the present disclosure relate to the field of communications technologies and disclose a packet loss detection method, an apparatus, and a system. The method includes: collecting, by a first network device according to packets sent to a second network device, statistics on a first result corresponding to each group of packets, one first result includes a quantity of packets in one group of packets and a section identifier of the group of packets, each group of packets includes multiple packets, and multiple packets are continuously sent by first network device and belong to a section corresponding to a section identifier of the group of packet; sending, by first network device, first result corresponding to each group of packets to a controller according to a preset rule, so that controller determines whether a packet in the packets sent by first network device to second network device is lost.

Claim (Index 2):
The network device according to  claim 1 , wherein packets whose Identifier fields in packet headers fall within a same numerical range or packets whose at least one bit in Identifier fields in packet headers share a same value belong to a same section.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 99.0
- Lexical Diversity: 2.71667
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15173539', '14855135', '15442544', '15381744', '15723035']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5653413936227863
- 35 USC 102 Novelty (BERT): 0.5211815329904321
- Combined Prediction Score: 0.560925407559551
- Mean Citation Score: 210.390736
- Max Citation Score: 327.97064
- Similarity Product: 235.43762375494003

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