PATENT CLAIM ANALYSIS

Application Number: 15571950
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-05
Patent Classification: ["701", "050000"]

Abstract:
According to one embodiment of the present disclosure, an industrial vehicle is provided comprising industrial vehicle hardware, tag reader, reader module, user interface, and vehicle controller. The tag reader and reader module cooperate to identify individual sequenced tags along an aisle path of a tag layout in accordance with a sequence list accessible to the reader module. The reader module compares a succession of sequenced tags with at least a portion of the accessible sequence list to determine if the succession of sequenced tags is in sequence along the aisle path in accordance with the sequence list and generates a missing tag signal for a malfunctioning sequenced tag when the comparison of the succession of sequenced tags with the sequence list indicates a sequence irregularity in the plurality of sequenced tags. The reader module then correlates vehicle functionality with the malfunctioning sequenced tag when a missing tag signal is generated.

Claim (Index 32):
The industrial vehicle as claimed in  claim 31  wherein:\n the primary tag is the first identified individual tag of the tag pair; and \n the secondary tag is the second identified tag of the tag pair.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 90.0
- Lexical Diversity: 2.56452
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15148202', '15148195', '15148634', '15782202', '11948653']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5110260337005452
- 35 USC 102 Novelty (BERT): 0.5770915031195999
- Combined Prediction Score: 0.5176325806424507
- Mean Citation Score: 351.28928400000007
- Max Citation Score: 544.9469
- Similarity Product: 339.31464517331125

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

Dataset: test