PATENT CLAIM ANALYSIS

Application Number: 15942306
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["700", "276000"]

Abstract:
Systems and methods for sequencing HVAC equipment of an HVAC system using data recorded in situ to build a model capable of making predictions about equipment efficiency and using that information, in combination with predictions about building load, to produce an operational sequence for the HVAC equipment that promotes an improved or optimized overall energy efficiency for the HVAC system. In one embodiment, the process is automated and utilizes Bayesian computational models or algorithms to generate an initial sequence. The process reduces engineering hours and may advantageously provide a means to predict potential sequencing problems for similar types of HVAC equipment.

Claim (Index 7):
A method for sequencing HVAC equipment in an HVAC system, the method comprising:\n acquiring a plurality of inputs including historical data points and predicted data points; determining energy efficiencies for the HVAC equipment; acquiring weather prediction data; using the inputs, energy efficiencies and weather prediction data, computing an expected future load for the HVAC equipment; using the inputs, energy efficiencies, weather prediction data and expected future load, employing a linear regression model to determine predicted energy efficiencies for the HVAC equipment; determining an initial order of the HVAC equipment configured to provide an optimized energy efficiency for the HVAC system; filtering the initial order based on an operating status for one or more of the HVAC equipment; determining a final sequence of the HVAC equipment; and providing the final sequence to a building automation system for controlling the HVAC system in accordance with the final sequence.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 90.0
- Lexical Diversity: 1.57353
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14582732', '15331755', '14690671', '14693722', '14630430']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3977800101094936
- 35 USC 102 Novelty (BERT): 0.564756312772619
- Combined Prediction Score: 0.4144776403758061
- Mean Citation Score: 253.79958
- Max Citation Score: 458.04868
- Similarity Product: 425.1229201098085

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test