PATENT CLAIM ANALYSIS

Application Number: 16185274
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["700", "278000"]

Abstract:
A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.

Claim (Index 5):
The system of  claim 1 , wherein the model predictive controller is configured to generate the predictive model by performing a system identification process comprising:\n modulating the temperature setpoints within a constrained temperature setpoint range; collecting a set of input-output data comprising values of the temperature setpoints and values of the temperature of the building zone that result from modulating the temperature setpoints during each of a plurality of time steps of a learning period; and fitting parameters of the predictive model to the set of input-output data.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 98.0
- Lexical Diversity: 2.74545
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15625830', '15963860', '15635754', '13802154', '15068470']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4120044968628578
- 35 USC 102 Novelty (BERT): 0.6096934687864136
- Combined Prediction Score: 0.4317733940552134
- Mean Citation Score: 367.04433
- Max Citation Score: 544.0862
- Similarity Product: 516.5332278886318

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

Dataset: test