PATENT CLAIM ANALYSIS

Application Number: 15742838
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["101", "226000"]

Abstract:
Regarding a cardboard sheet-cutting device, a cardboard sheet-cutting control unit and a cardboard sheet-manufacturing apparatus, continuous cutting is made during job changes, in which the cardboard sheet cutting width changes, without stopping conveyance of the cardboard sheets, by a printing unit for printing cutting marks on a double-faced cardboard sheet; a slitter scorer for cutting the double-faced cardboard sheet to a specified width; a cutoff for cutting the double-faced cardboard sheet to a specified length; a mark detector for detecting cutting marks; a movement unit for moving the mark detector along the width direction of the double-faced cardboard sheet; and a cutting control unit for performing control to actuate the cutoff on the basis of the detection results of the mark detector and moving the mark detector using the movement unit on the basis of job-change timing data and post-job change mark position information.

Claim (Index 7):
The cardboard sheet-cutting device according to  claim 1 ,\n wherein, when printing image information of the first job is changed to printing image information of the second job, an idle running length of the cardboard sheet is set in correspondence with a period for which the mark detector moves from a detectable position in the first job to a detectable position in the second job, and when there is a job change, the control unit controls a printing timing of the digital printing machine in accordance with the idle running length.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 86.0
- Lexical Diversity: 2.5
- Patent Class: 101.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14646157', '15564462', '12137884', '14761295', '15085040']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7861446121729558
- 35 USC 102 Novelty (BERT): 0.5026322197890222
- Combined Prediction Score: 0.7577933729345625
- Mean Citation Score: 234.64801000000003
- Max Citation Score: 247.31946
- Similarity Product: 172.21049322019095

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

Dataset: test