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 14):
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 immovably attached to a screed of the road paver and comprising a first sensor behind the screed, in the direction of travel, for detecting a first distance from the applied material layer and a second sensor in front of the screed, in the direction of travel, 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 from the rear screed edge, 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, and wherein a position of the screed is controlled in response to the determined layer thickness in order to maintain a pre-specified layer thickness.

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): 0.7403933743829547
- 35 USC 102 Novelty (BERT): 0.5391348110281226
- Combined Prediction Score: 0.7202675180474715
- Mean Citation Score: 297.914482
- Max Citation Score: 389.19888
- Similarity Product: 366.1853363877297

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