PATENT CLAIM ANALYSIS

Application Number: 15912844
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["358", "001150"]

Abstract:
A system and method for multifunction peripheral device failure prediction includes a processor, memory and a network interface. The system receives device status data from each of a plurality of identified multifunction peripherals. Service history data for each of the multifunction peripherals is stored in memory. The processor detects anomalies in received device status data and generates predictive device failure data for at least one identified multifunction peripheral in accordance with detected anomalies and service history data. Predictive device failure data can be used to schedule technician visits or add device maintenance to previously scheduled visits. Such scheduling can include scheduling of service to geographically clustered devices.

Claim (Index 9):
A method comprising:\n receiving, into a digital processing device that includes a processor and associated memory, device status data from each of a plurality of identified multifunction peripherals; detecting, by the processor, anomalies in received device status data; generating, by the processor, predictive device failure data for at least one identified multifunction peripheral in accordance with the detected anomalies; generating, by the processor, a failure window corresponding an anticipated timing of a device failure associated with the predictive device failure data; and generating required resource data corresponding to resources required to address the device failure; and outputting, by the processor, the predictive device failure data via an associated network and the required resource data.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 90.0
- Lexical Diversity: 1.75385
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15913057', '15134049', '15680458', '15680385', '15440241']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5001891305445679
- 35 USC 102 Novelty (BERT): 0.4885909622357839
- Combined Prediction Score: 0.4990293137136895
- Mean Citation Score: 194.869088
- Max Citation Score: 221.45581
- Similarity Product: 168.27069484306455

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

Dataset: test