Systems and methods for identifying toxic elements in water
AssigneeTrue Elements, Inc.
InventorsWilliam C. Louisell, III, David Bankston
Life of this patent
Estimating the term…
Abstract
Systems, methods, and computer-readable storage media for identifying toxic elements in water, and more specifically to identifying toxins in water based on sensor-detected contaminants and lists of known contaminants. A system can receive water contaminant data from sensors in a predefined geographic area, then normalize that water contaminant data. The system can also receive a list of categorized contaminants and use the list of categorized contaminants and a toxicity of the normalized water contaminants to score water toxicity for that predefined geographic area.
Claims17
A method comprising:
- receiving, at a computer system from a plurality of sensors within a predefined geographic area, water contaminant data;
- normalizing, via at least one processor of the computer system the water contaminant data, resulting in normalized water contaminants;
- receiving, at the computer system from a database, a list of categorized contaminants, wherein the list of categorized contaminants is generated by:
- web scraping a list of water contaminants;
- stratifying, via the at least one processor executing a neural network, the list of water contaminants into categories based on commonalities, resulting in categories of contaminants,
- wherein the neural network is trained to identify combinations of toxins formed from individual contaminants;
- and
- classifying, via the at least one processor, the list of water contaminants into the categories of contaminants, resulting in the list of categorized contaminants;
- and
- scoring, via the at least one processor using the list of categorized contaminants, a toxicity of the normalized water contaminants, resulting in a water toxicity score for the predefined geographic area.
A system comprising:
- at least one processor;
- and
- a non-transitory computer-readable storage medium having instructions stored which, when executed by the at least one processor, cause the processor to perform operations comprising:
- receiving, from a plurality of sensors within a predefined geographic area, water contaminant data;
- normalizing, the water contaminant data, resulting in normalized water contaminants;
- receiving, from a database, a list of categorized contaminants, wherein the list of categorized contaminants is generated by:
- web scraping a list of water contaminants;
- stratifying, via the at least one processor executing a neural network, the list of water contaminants into categories based on commonalities, resulting in categories of contaminants, wherein the neural network is trained to identify combinations of toxins formed from individual contaminants;
- and
- classifying, via the at least one processor, the list of water contaminants into the categories of contaminants, resulting in the list of categorized contaminants;
- and
- scoring, using the list of categorized contaminants, a toxicity of the normalized water contaminants, resulting in a water toxicity score for the predefined geographic area.
A non-transitory computer-readable storage medium having instructions stored which, when executed by at least one processor, cause the processor to perform operations comprising:
- receiving, from a plurality of sensors within a predefined geographic area, water contaminant data;
- normalizing, the water contaminant data, resulting in normalized water contaminants;
- receiving, from a database, a list of categorized contaminants, wherein the list of categorized contaminants is generated by:
- web scraping a list of water contaminants;
- stratifying, via the at least one processor executing a neural network, the list of water contaminants into categories based on commonalities, resulting in categories of contaminants, wherein the neural network is trained to identify combinations of toxins formed from individual contaminants;
- and
- classifying, via the at least one processor, the list of water contaminants into the categories of contaminants, resulting in the list of categorized contaminants;
- and
- scoring, using the list of categorized contaminants, a toxicity of the normalized water contaminants, resulting in a water toxicity score for the predefined geographic area.
Dependencies are inferred from the claim text.