PATENT CLAIM ANALYSIS

Application Number: 16186854
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["250", "356100"]

Abstract:
A method for inferring incident count rates of electromagnetic energy at a detector is provided. In one embodiment, the method includes transmitting electromagnetic radiation through a fluid and receiving a portion of the electromagnetic radiation at a detector. The method also includes measuring the energy spectrum of the portion of the electromagnetic radiation received by the detector and using the measured energy spectrum and a physical model of detector response to electromagnetic radiation to infer incident count rates for discrete energy levels of the portion of the electromagnetic radiation received by the detector. Additional systems, devices, and methods are also disclosed.

Claim (Index 18):
A multiphase flow meter comprising:\n an electromagnetic radiation emitter; an x-ray or gamma ray detector comprising a scintillator and a photomultiplier tube, the detector positioned to receive electromagnetic radiation from the emitter; a fluid conduit between the emitter and the detector; a multi-channel spectral analyzer coupled to the detector to receive electrical signals from the detector and output a measured energy spectrum of the photons received by the detector; and a flow computer encoded with a response model for the detector, the response model based on characteristics of components of the emitter and the detector, wherein the flow computer is operable to compare the measured energy spectrum with the response model to infer count rates for the photons received by the detector.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 98.0
- Lexical Diversity: 2.16
- Patent Class: 250.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15034824', '14345398', '11425285', '11597535', '14420624']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7218800045908059
- 35 USC 102 Novelty (BERT): 0.588372077566138
- Combined Prediction Score: 0.7085292118883392
- Mean Citation Score: 277.986242
- Max Citation Score: 494.7547
- Similarity Product: 459.71300015128855

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

Dataset: test