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 5):
The computer system of  claim 1 , wherein the data analysis system analyzing the heat generation data comprises:\n using predictive analytics tools based on IBM's Watson technology such that the data analysis system is capable of analyzing large sets of structured, semi-structured, and unstructured heat generation data, wherein by using the predictive tools based on IBM's Watson technology, the data analysis system is also capable of determining thermal patterns across space in real-time, predicting thermal load patterns based on historical data, and optimizing current settings of the tunable temperature controller based on the thermal patterns and according to user requirements.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 97.0
- Lexical Diversity: 2.76786
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15196511', '15158170', '14168941', '15287677', '14775500']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.36177948357641
- 35 USC 102 Novelty (BERT): 0.5287893192231863
- Combined Prediction Score: 0.3784804671410876
- Mean Citation Score: 177.34571999999997
- Max Citation Score: 355.54214
- Similarity Product: 351.3681285919881

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