PATENT CLAIM ANALYSIS

Application Number: 16095794
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["315", "082000"]

Abstract:
An abnormality detection apparatus ( 100 ) is configured to detect an abnormality of a lighting device ( 200 ). The abnormality detection apparatus ( 100 ) includes an illuminance sensor ( 110 ), a memory ( 120 ) and a controller ( 130 ). The controller ( 130 ) is configured to detect the abnormality of the lighting device ( 200 ) based on a criterion stored in the memory ( 120 ) and a difference between an illuminance detected by the illuminance sensor ( 110 ) during on state of the lighting device ( 200 ) and an illuminance detected by the illuminance sensor ( 110 ) during off state of the lighting device ( 200 ).

Claim (Index 1):
An abnormality detection apparatus configured to detect an abnormality of a lighting device, the abnormality detection apparatus comprising:\n a sensor configured to detect a physical quantity about the lighting device; a memory configured to store a criterion for detecting the abnormality; and a control device configured to detect the abnormality based on the criterion and a difference between a physical quantity detected by the sensor during on state of the lighting device and a physical quantity detected by the sensor during off state of the lighting device.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 97.0
- Lexical Diversity: 2.92857
- Patent Class: 315.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13448989', '14413935', '15833174', '15851863', '13325629']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6930146320571743
- 35 USC 102 Novelty (BERT): 0.4802604920578341
- Combined Prediction Score: 0.6717392180572404
- Mean Citation Score: 167.44154
- Max Citation Score: 174.43552
- Similarity Product: 125.04837273670196

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