PATENT CLAIM ANALYSIS

Application Number: 15913312
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["700", "276000"]

Abstract:
A heating, ventilation, and air conditioning (HVAC) boiler controller is described herein. One HVAC boiler controller includes a memory and a processor configured to execute executable instructions stored in the memory to receive a weather forecast for an area in which the boiler of the HVAC system is located, receive a current outdoor temperature, determine a set point of the boiler based, at least in part, on the received weather forecast and the received current outdoor temperature, and adjust the set point of the boiler to the determined set point.

Claim (Index 8):
A method of operating a boiler of a heating, ventilation, and air conditioning (HVAC) system, comprising:\n receiving, by a controller of the boiler of the HVAC system, a weather forecast for an area in which the HVAC system is located, wherein the weather forecast is received from a server via a network; determining, by the controller, a set point of the boiler based, at least in part, on the weather forecast received from the server via the network, and not based on a current outdoor temperature sensed at the location of the HVAC system; and adjusting, by the controller, the set point of the boiler to the determined set point.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 90.0
- Lexical Diversity: 1.90566
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14940682', '15435562', '12603431', '14682273', '15912304']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.462754862015573
- 35 USC 102 Novelty (BERT): 0.4984718408210826
- Combined Prediction Score: 0.4663265598961239
- Mean Citation Score: 188.44272
- Max Citation Score: 299.8147600000001
- Similarity Product: 240.2026065890957

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