PATENT CLAIM ANALYSIS

Application Number: 16240065
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["361", "679530"]

Abstract:
A method of assembling a direct-contact, liquid-cooled (DL) Rack Information Handling System (RIHS) includes inserting a leak containment barrier in a node enclosure provisioned with heat-generating functional components. The method also includes attaching a system of conduits supplying cooling liquid through the node enclosure and including a supply conduit extending from a node inlet coupling and a return conduit terminating in a node outlet coupling. A trough of the leak containment barrier underlays a portion of the system of conduits of an LC node and forms a drain path to a drain port of the node enclosure. The method further includes mounting the LC node insertably received in one node-receiving slot having a rear section configured for blind mating of the node inlet and outlet ports to a node-receiving liquid inlet port and a node-receiving liquid outlet port positioned to be inwardly facing to the couplings of the LC node.

Claim (Index 7):
A method of containing leaks in a direct-contact, liquid-cooled (DL) Rack Information Handling System (RIHS), the method comprises:\n communicating with a liquid sensor to detect liquid received in a leak containment barrier that is leaked in a trough from a received system of conduits internal to a node enclosure of a liquid cooled (LC) node that is provisioned with a heat-generating computing component; and interrupting the supply flow of cooling liquid to the LC node by causing a shutoff valve to close.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 1.96296
- Patent Class: 361.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15049074', '15167981', '15017582', '15698642', '15016226']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8831209699834007
- 35 USC 102 Novelty (BERT): 0.6207806228729051
- Combined Prediction Score: 0.8568869352723512
- Mean Citation Score: 494.5455840000001
- Max Citation Score: 591.268
- Similarity Product: 514.8068635847568

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