PATENT CLAIM ANALYSIS

Application Number: 15776437
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["382", "100000"]

Abstract:
The present invention is to provide a computer system, and a method and a program for diagnosing an object that is capable to improve the diagnosis accuracy of an object. The computer system acquires a visible light image of an object that is taken by a camera, analyzes the acquired visible light image by comparing the acquired visible light image with a normal visible light image of the object, identifies the type of the object based on the result of the image analysis, identifies an abnormal part of the object based on the result of the image analysis, acquires environment data of the object, and diagnoses the status of the object based on the identified type, the identified abnormal part, and the acquired environment data.

Claim (Index 3):
The computer system according to  claim 1 , wherein the object to be diagnosed is a plant facility with a pipe, and the environment data acquisition unit acquires at least one environmental datum from the group consisting of the date on which the visible light image was acquired, flow rate variation data that indicates change in flow rate in the pipe on the date, thermal data on the date, and gas data on the date.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 2.7
- Patent Class: 382.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16492443', '16492416', '12470510', '15540065', '14030083']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3737765711069845
- 35 USC 102 Novelty (BERT): 0.4905781330016754
- Combined Prediction Score: 0.3854567272964536
- Mean Citation Score: 171.831058
- Max Citation Score: 230.69855
- Similarity Product: 170.4963403885305

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test