PATENT CLAIM ANALYSIS

Application Number: 16034174
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["700", "275000"]

Abstract:
A smart window controller includes circuitry configured to establish a representative model of one or more building zones based on occupancy, construction, lighting, or cooling properties of a building. A lighting control strategy is implemented for the one or more building zones based on the representative model or one or more user preferences input at a first user interface screen of an external device. Automatic operations of one or more smart windows, cooling systems, or artificial lighting systems are controlled based on trigger points associated with the lighting control strategy, and a performance level of the lighting control strategy for the one or more building zones is determined based on one or more predetermined financial metrics.

Claim (Index 1):
A smart window control system, comprising:\n one or more artificial lighting systems disposed inside a building, and a smart window control device comprising:\n circuitry configured to:\n establish a representative model of one or more building zones based on occupancy, construction, lighting, or cooling properties of the building, \n implement a lighting control strategy for the one or more building zones based on the representative model or one or more user preferences input at a first user interface screen of an external device, \n control automatic operations of one or more electrochromatic smart windows by varying a voltage applied to a stack of electrochromatic coating layers, or artificial lighting systems by modifying a fractional input power in discrete steps based on trigger points associated with the lighting control strategy, \n control automatic operations of the one or more or artificial lighting systems by modifying a fractional input power in discrete steps based on trigger points associated with the lighting control strategy, and \n determine with the circuitry a performance level of the lighting control strategy for the one or more building zones based on one or more predetermined financial metrics that include a comparison of total building energy consumption to a threshold, wherein \n the circuitry is further configured to determine a comfort score and an energy savings score indicating a relative importance of visual comfort and energy savings for the one or more building zones based on the representative model of the one or more building zones or the one or more user preferences, \n the circuitry is further configured to implement a daylight control strategy as the lighting control strategy when the energy savings score is greater than an energy savings threshold or the comfort score is lower than a visual comfort threshold, and \n the circuitry is further configured to implement a solar control strategy or a glare control strategy as the lighting control strategy when the energy savings score is less than or equal to an energy savings threshold and the comfort score is greater than or equal to a visual comfort threshold, \n wherein the predetermined financial metrics include a predetermined payback period associated one or more building components based on a current energy costs, price of the one or more building components, and one or more financial health attributes of a building, and \n wherein the circuitry is further configured to output a warning to the external device when an amount of energy savings associated with the one or more smart windows over a predetermined period of time does not meet the predetermined payback period associated with the one or more building components.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 95.0
- Lexical Diversity: 2.04918
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15045864', '16015843', '16034097', '13446577', '14605054']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4627821417530592
- 35 USC 102 Novelty (BERT): 0.6536095422464996
- Combined Prediction Score: 0.4818648818024033
- Mean Citation Score: 482.469792
- Max Citation Score: 641.398
- Similarity Product: 620.1869120607378

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

Dataset: test