PATENT CLAIM ANALYSIS

Application Number: 16176532
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["700", "276000"]

Abstract:
A method for real-time control of thermal loads in a data center includes storing, in a database, a heat generation data associated with an electronic equipment located in a predetermined area of the data center, transmitting the heat generation data to a data analysis system in communication with a tunable temperature controller, the heat generation data provides a real-time input of an amount of heat generated in the predetermined area, the data analysis system receives and analyzes the heat generation data to determine whether the amount of heat generated in the predetermined area exceeds current settings of the tunable temperature controller, and in response to the amount of heat generated exceeding the current settings of the tunable temperature controller, updating the current settings to provide an amount of cooling that compensates for the amount of heat generated in the predetermined area in association with the electronic equipment.

Claim (Index 13):
The computer program product of  claim 8 , further comprising:\n identifying, by the data analysis system, a pattern in a behavior of the amount of heat generated through time in the predetermined area based on the transmitted heat generation data; adjusting the current settings of the tunable temperature controller based on the identified pattern such that a future increase in the amount of heat generated in the predetermined area in association with the electronic equipment is predicted; and in response to the future increase in the amount of heat generated in the predetermined area being predicted, providing a corresponding amount of cooling to the predetermined area to prevent a temperature increase in the electronic equipment.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 97.0
- Lexical Diversity: 2.76786
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15196511', '15158170', '14168941', '15287677', '14775500']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3353589413710496
- 35 USC 102 Novelty (BERT): 0.5278815527897277
- Combined Prediction Score: 0.3546112025129175
- Mean Citation Score: 177.34571999999997
- Max Citation Score: 355.54214
- Similarity Product: 312.5860946612752

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