PATENT CLAIM ANALYSIS

Application Number: 15768210
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["340", "540000"]

Abstract:
A maintenance method of an electromechanical device comprises the steps of: making available to a control unit of the electromechanical device data communication means based on a wireless communication protocol; providing an operator a portable electronic device suitable to implement augmented reality and having a database in which is stored a list of maintenance operations that can be performed on the electromechanical device, activating data communication between the electronic control unit and the portable electronic device and transferring from the first to the second the status signals and/or possible alarm signals; in the presence of at least one alarm signal, correlating said alarm signal with at least one maintenance operation and communicating to the operator, thanks to augmented reality, the alarm signal and the maintenance operations related to said alarm signal.

Claim (Index 21):
Method according to claim  3 , wherein the portable electronic device is suitable to implement an algorithm of image recognition, and wherein the activation of the communication between the electromechanical device and the portable electronic device is automatic when said portable electronic device focuses on the electromechanical device.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 91.0
- Lexical Diversity: 1.95775
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11033051', '10141574', '10773235', '14803044', '11769726']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6718479307851781
- 35 USC 102 Novelty (BERT): 0.4805110327509837
- Combined Prediction Score: 0.6527142409817588
- Mean Citation Score: 99.119651
- Max Citation Score: 108.08271
- Similarity Product: 71.60023685196519

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