PATENT CLAIM ANALYSIS

Application Number: 15949588
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["701", "001000"]

Abstract:
According to an aspect, a method including receiving, by a remote computing apparatus, drive parameter data sent from a drive via a communications network, to a remote computing apparatus; storing the drive parameters to a database; calculating an expected drive registration data object value for the drive using the first algorithm based on the drive parameter data; comparing the expected drive registration data object differs from the drive registration data object included in the drive registration data for the drive, causing sending information on a conflicting registration data object from the remote computing apparatus via the communications network to the drive.

Claim (Index 5):
The method as claimed in  claim 1 , wherein the first algorithm is created, in the remote computing apparatus, before receiving the drive parameter data from the drive according to an algorithm generation method comprising the steps of:\n receiving, in the remote computing apparatus, drive parameter data from a plurality of drives via the communications network, wherein the database maintains at least drive registration data of the plurality of drives acquired during the commissioning of the plurality of drives; storing the drive parameter data from the plurality of drives to the database; analyzing, in the remote computing apparatus, the drive parameter data of the plurality of drives and the drive registration data of the plurality of drives stored in the database for obtaining correlations between drive parameters and drive registration data objects; and based on the analyzing, generating, in the remote computing apparatus, the first algorithm.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.3913
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15456551', '13484014', '13228243', '15317115', '10958498']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3907788106597679
- 35 USC 102 Novelty (BERT): 0.4626721775506046
- Combined Prediction Score: 0.3979681473488516
- Mean Citation Score: 106.065886
- Max Citation Score: 114.08223
- Similarity Product: 78.45759687643469

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