PATENT CLAIM ANALYSIS

Application Number: 15939684
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["701", "019000"]

Abstract:
Locomotives comprising a chassis configured for receiving various modules such as, for example, fuel storage modules and/or power modules. By employing a selected combination of fuel storage modules and power modules, a locomotive may be constructed to employ any of one or more types of fuel, such as liquid fuels and gaseous fuels. Batteries may be employed to maximize energy use. Multiple locomotives may function together as a ‘consist’ having differing types of engines and using different types of fuel. A control system may be employed to optimize use of the engines by prioritizing factors such as cost, fuel efficiency, noise reduction, emissions reduction, etc.

Claim (Index 4):
A locomotive according to  claim 3  wherein the first power module and the second power module each comprise one or more emissions sensors operative to detect one or more emissions of the first power module and the second module; and wherein:\n the control system is connected to receive outputs from the one or more emissions sensors of the first power module and the second power module; and \n the first pollution emission information and the second pollution emission information are updated in real-time based on the outputs from the one or more emissions sensors of the first power module and the second power module.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 90.0
- Lexical Diversity: 1.73913
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13839615', '14480846', '13841198', '15136181', '14217082']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4418418191675901
- 35 USC 102 Novelty (BERT): 0.5086065312125883
- Combined Prediction Score: 0.4485182903720899
- Mean Citation Score: 247.94468
- Max Citation Score: 263.07507000000004
- Similarity Product: 181.4474878017784

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

Dataset: test