PATENT CLAIM ANALYSIS

Application Number: 15964143
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["404", "075000"]

Abstract:
A road paver includes a screed for applying a material layer to a foundation and a layer thickness detecting device for detecting the thickness of the applied material layer. The layer thickness detecting device includes a first sensor for detecting a first distance from the applied material layer and a second sensor for detecting a second distance from the foundation. The layer thickness detecting device is securely attached to the screed.

Claim (Index 24):
A method for detecting the thickness of a material layer applied to a foundation by using a road paver by means of a thickness detecting device comprising a rigid first support that is attached to the screed, a second support attached to a tow arm, which rotates the screed, a first sensor, which is attached to the first support, for detecting a first distance from the material layer applied, and a second sensor, which is attached to the second support, for detecting a second distance from the foundation, the method comprising:\n detecting a first distance from the applied material layer; detecting a second distance from the foundation; and determining the layer thickness of the material layer applied; wherein the layer thickness is determined on the basis of the detected first and second distances, of the distances of the first sensor and of the second sensor, and of the attachment heights of the first sensor and of the second sensor relative to the rear edge of the screed of the road paver.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 91.0
- Lexical Diversity: 2.55172
- Patent Class: 404.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15264640', '14609481', '13524744', '13524436', '12191624']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7398911808548964
- 35 USC 102 Novelty (BERT): 0.5397489700422355
- Combined Prediction Score: 0.7198769597736303
- Mean Citation Score: 297.914482
- Max Citation Score: 389.19888
- Similarity Product: 384.09484262111664

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