PATENT CLAIM ANALYSIS

Application Number: 16084984
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["318", "569000"]

Abstract:
To highly accurately predict remaining machining time required for cutting, a controller of a machining time prediction device includes a storage in which a machining program is stored, a simulator that performs a simulation in which a cutting machine cuts a workpiece in accordance with the machining program to generate a control pattern in which control information of a spindle and a holder is recorded, a machining time calculator that generates, based on the control pattern, a machining time table in which remaining machining time for each step of the machining program, a machining time acquirer that acquires a step of the machining program cutting of which is performed by the cutting machine at a current time point and acquires the remaining machining time for the step of the machining program, which has been acquired, from the machining time table, and a display controller that displays the remaining machining time that has been acquired by the machining time acquirer on a display screen.

Claim (Index 13):
The machining time prediction device according to  claim 11 , wherein, when generating the control pattern, the simulator performs S-shape acceleration control.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 97.0
- Lexical Diversity: 2.70312
- Patent Class: 318.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15824103', '15416145', '14856753', '16040545', '15785930']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6862934913545575
- 35 USC 102 Novelty (BERT): 0.4890500577263349
- Combined Prediction Score: 0.6665691479917353
- Mean Citation Score: 192.975254
- Max Citation Score: 196.34253
- Similarity Product: 134.69972730949758

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