PATENT CLAIM ANALYSIS

Application Number: 15966200
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["700", "282000"]

Abstract:
A system and method prevent product-type contamination in a bulk liquid storage tank. A control unit receives an indication of a storage product type in the bulk storage and a delivery product type in the tanker truck. The control unit compares the delivery product type with the storage product type and controls delivery based on a result of the comparison.

Claim (Index 9):
A system for preventing contamination by a tanker truck in a bulk liquid storage tank, the system comprising:\n an identification transmitter positioned adjacent an access to the bulk liquid storage tank, the identification transmitter being configured to store an indication of a storage product type in the bulk storage tank; a drop elbow connecting the tanker truck to the liquid storage tank, wherein the identification transmitter includes a sensor that is configured to identify when the drop elbow has been connected; and control circuitry communicating with the identification module, the control circuitry being configured to identify a delivery product type in the tanker truck and to compare the delivery product type in the tanker truck with the storage product type, wherein the control circuitry is configured to control delivery of the delivery product type based on a result of the comparison.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 91.0
- Lexical Diversity: 1.85294
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15358736', '14117562', '12784098', '15081348', '14564941']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4162328741576846
- 35 USC 102 Novelty (BERT): 0.5289077467340496
- Combined Prediction Score: 0.4275003614153211
- Mean Citation Score: 250.87454
- Max Citation Score: 377.71466
- Similarity Product: 355.4769478560018

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

Dataset: test