PATENT CLAIM ANALYSIS

Application Number: 16281962
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["315", "077000"]

Abstract:
A method for dynamic control of runway illumination on aircraft, suitable for controlling the illumination of a light equipment comprising a LED matrix and refraction optics during a flight phase. The method comprises the steps of a) determining predefined flight dynamic movement equations for the flight phase, b) obtaining real data from autonomous sensors independent from the aircraft sensors, c) using extended Kalman Filter and algorithm taking into account the data from the autonomous sensors to obtain the aircraft dynamics data. This step c) comprises the c1) predict phase and c2) update phase, and d) applying the obtained aircraft dynamics data to light control laws affecting the light equipment.

Claim (Index 1):
A method for dynamic control of runway illumination on aircraft, suitable for controlling an illumination of a light equipment comprising a LED matrix and refraction optics during a flight phase, the method comprising the following steps:\n a) determining predefined flight dynamic movement equations for the flight phase, b) obtaining real data from autonomous sensors independent from aircraft sensors, c) using extended Kalman Filter and algorithm considering the data from the autonomous sensors to obtain the aircraft dynamics data, this step comprising the following phases:\n c1) predict phase, \n c2) update phase, \n d) applying the obtained aircraft dynamics data to light control laws affecting the light equipment.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 99.0
- Lexical Diversity: 1.86364
- Patent Class: 315.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10436936', '13563357', '10779365', '13956736', '14808646']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6899165181591719
- 35 USC 102 Novelty (BERT): 0.4830045230302833
- Combined Prediction Score: 0.6692253186462831
- Mean Citation Score: 171.538208
- Max Citation Score: 204.6668
- Similarity Product: 156.11929382972716

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