PATENT CLAIM ANALYSIS

Application Number: 15891175
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["702", "025000"]

Abstract:
In various implementations, methods and systems are designed for predicting effluent total phosphorus (TP) concentrations in an urban wastewater treatment process (WWTP). To improve the efficiency of TP prediction, a particle swarm optimization self-organizing radial basis function (PSO-SORBF) neural network may be established. Implementations may adjust structures and parameters associated with the neural network to train the neural network. The implementations may predict the effluent TP concentrations with reasonable accuracy and allow timely measurement of the effluent TP concentrations. The implementations may further collect online information related to the estimated effluent TP concentrations. This may improve the quality of monitoring processes and enhance management of WWTP.

Claim (Index 18):
The method of  claim 16 , wherein the plurality of sensors comprising:\n a molybdenum-blue colorimetric analyzer placed in an influent tank and configured to measure the value of influent TP, a ORP electrode sensor placed in an anaerobic tank as well as the effluent tank and configured to measure the value of ORP, a temperature sensor placed in an effluent tank and configured to measure the temperature, a pH sensor placed in the in an effluent tank and configured to measure the pH, the value of ORP, and the temperature, a Teflon-coated-film based sensor placed in the aerobic tank and configured to measure the value of the DO, a COD sensor placed in the effluent tank and configured to measure the value of COD, a TN sensor placed in the effluent tank and configured to measure the value of TN, and a TSS sensor placed in the aerobic ad tank configured to measure the value of TSS

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 1.64384
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14668836', '13985482', '14234955', '15389755', '11996384']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1765577087391435
- 35 USC 102 Novelty (BERT): 0.5262185891960264
- Combined Prediction Score: 0.2115237967848318
- Mean Citation Score: 243.30053
- Max Citation Score: 318.0135
- Similarity Product: 198.98423043322563

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