PATENT CLAIM ANALYSIS

Application Number: 15888131
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["705", "028000"]

Abstract:
An inventory management system includes a plurality of apparatuses, an information management device connected to the apparatuses, and an information processor. The information processor calculates the sum of cumulative failure rates that is the sum value of the cumulative failure rates of all of designated components having the same specifications used in the apparatuses at a certain point in time, in consideration of an acceleration depending on a driving condition with respect to a standard cumulative failure rate of each type of the designated components having the same specifications used in the apparatuses under a standard driving condition, and calculates the appropriate inventory quantity of the designated components based on the calculated sum of the cumulative failure rates.

Claim (Index 8):
The inventory management system according to  claim 1 , further comprising:\n at least one fourth machine learning device connected to the information management device, wherein the fourth machine learning device includes: a state quantity observation unit for observing outputs from components constituting the apparatuses and outputs from at least one of a variety of sensors provided in the apparatuses and a variety of sensors provided around the apparatuses, as state quantities of the apparatuses, in relation to the driving condition and states or characteristics of the designated components; a determination result obtainment unit for obtaining a determination result related to right and wrong of an estimation result as to a failing designated component, in the apparatus having the failing designated component; a fourth learning unit for receiving an output from the state quantity observation unit and an output from the determination result obtainment unit, and learning the estimation result as to the failing designated component, in association with the state quantity of the apparatus and the estimation result as to the failing designated component obtained by the determination result obtainment unit; and a decision making unit for deciding the estimation result as to the failing designated component to be outputted from the fourth machine learning device, with reference to the learning result by the fourth learning unit, wherein the fourth learning unit has a value function to determine the value of the estimation result as to the failing designated component, and the fourth learning unit includes a reward calculation unit for providing a positive reward when the estimation result is right, while providing a negative reward when the estimation result is wrong, and a value function update unit for updating the value function in accordance with the reward, and the information processor makes a failure diagnosis of the apparatuses, with reference to a learning result of the fourth learning unit.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 2.17544
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11404754', '12998188', '15572229', '12184734', '15454724']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0832266676362068
- 35 USC 102 Novelty (BERT): 0.4764042235741875
- Combined Prediction Score: 0.1225444232300048
- Mean Citation Score: 129.697344
- Max Citation Score: 135.6563
- Similarity Product: 94.3004767188668

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

Dataset: test