PATENT CLAIM ANALYSIS

Application Number: 15880360
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["340", "540000"]

Abstract:
Systems and methods for asset monitoring utilize a network, one or more data servers, one or more asset-monitoring modules, and one or more beacon modules to monitor assets deployed across a facility. The systems and methods are asset-agnostic and are able to provide statistical forecasts and degradation model for each asset monitored. The systems and methods may further apply real-time regression, including Bayesian updating techniques to provide real-time corrections to forecasts and degradation models.

Claim (Index 16):
A computer-implemented system for monitoring one or more assets, comprising:\n one or more asset-monitoring module for monitoring the asset and providing monitored data comprising current and voltage data; and a processing device receiving the monitored data and running a data analysis algorithm, wherein said data analysis algorithm constructs a statistical model of performance for one or more assets to be monitored, wherein said model predicts the current mode of operation of the asset; wherein the system is asset-agnostic, supporting multiple types and brands of assets and such that the performance of the one or more assets can be managed and monitored in real-time.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 1.6875
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14477815', '11325893', '10753190', '13442817', '14740252']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6145693057360359
- 35 USC 102 Novelty (BERT): 0.474130667466828
- Combined Prediction Score: 0.600525441909115
- Mean Citation Score: 133.37086800000003
- Max Citation Score: 136.12508
- Similarity Product: 102.93444477298976

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