PATENT CLAIM ANALYSIS

Application Number: 16420797
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-11
Patent Classification: ["700", "276000"]

Abstract:
Sensing and control apparatus for a building HVAC system includes interior and boundary sensors, such as cameras and thermal sensors, generating sensor signals conveying occupancy-related features for an area. A controller uses the sensor signals to produce an occupancy estimate and to generate equipment-control signals to cause the HVAC system to supply conditioned air to the area based on the occupancy estimate. The controller includes fusion systems collectively generating the occupancy estimate by corresponding fusion calculations, the fusion systems producing a boundary occupancy-count change based on sensor signals from the boundary sensors, an interior occupancy count based on sensor signals from the interior sensors, and the overall occupancy estimate. Fusion may be of one or multiple types including cross-modality fusion across different sensor types, within-modality fusion across different instances of same-type sensors, and cross-algorithm fusion using different algorithms for the same sensor(s).

Claim (Index 16):
The sensing and control apparatus of  claim 1 , wherein one or more of the fusion subsystems generates a plurality of estimates for a given sensor using corresponding distinct estimating algorithms, and performs a fusion calculation combining the respective estimates from the distinct estimating algorithms to arrive at an estimate for the given sensor.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 100.0
- Lexical Diversity: 2.0
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15707027', '12734068', '12733752', '15331475', '14585491']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4208700889111486
- 35 USC 102 Novelty (BERT): 0.4864391797283038
- Combined Prediction Score: 0.4274269979928641
- Mean Citation Score: 172.60914399999996
- Max Citation Score: 181.12067
- Similarity Product: 115.97355782306909

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

Dataset: test