PATENT CLAIM ANALYSIS

Application Number: 16215412
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2020-01
Patent Classification: ["198", "810040"]

Abstract:
Provided is a conveyor belt monitoring system that determines whether or not an abnormality has occurred in the conveyor belt. The system successively detects elongation of a running conveyor belt using an elongation detection mechanism, and further successively detects tension acting on a core layer forming the conveyor belt on the basis of power consumption of the running conveyor belt. On the basis of data obtained, the system monitors the presence/absence of the abnormality in the conveyor belt using a control unit.

Claim (Index 1):
A conveyor belt monitoring system, comprising:\n an elongation detection mechanism configured to successively detect elongation of a conveyor belt while the conveyor belt is running; a sensor configured to successively detect power consumption of the running conveyor belt; a tension detection mechanism configured to successively calculate tension acting on a core layer forming the conveyor belt on a basis of a relationship between the power consumption and the tension; and a control unit into which data obtained from the elongation detection mechanism and the tension detection mechanism are input, the control unit being further configured to monitor a presence and absence of an abnormality of the conveyor belt on the basis of the input data.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 1.85106
- Patent Class: 198.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15742494', '15677686', '14554267', '14418008', '14770314']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6623514368841985
- 35 USC 102 Novelty (BERT): 0.4833475831006982
- Combined Prediction Score: 0.6444510515058485
- Mean Citation Score: 176.47621399999997
- Max Citation Score: 293.08658
- Similarity Product: 277.2864347096503

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