Chemical detection system for water source
In an approach for chemical detection for a water source, a processor receives, from a network device of a plurality of network devices, data, wherein the data includes at least one of image data, video data, chemical sensor data, and biosensor data. A processor updates a predictive model with the data. A processor receives a table of possible chemical compositions from the predictive model. A processor determines to send an alert based on the table of possible chemical compositions. A processor sends the alert to a user device.
1. A computer-implemented method for chemical detection for a water source, the computer-implemented method comprising:
receiving, by one or more processors, from a network device of a plurality of network devices, data, wherein the data includes at least one of image data, video data, chemical sensor data, and biosensor data;
updating, by one or more processors, a predictive model with the data;
receiving, by one or more processors, a table of possible chemical compositions from the predictive model;
determining, by one or more processors, to send an alert based on the table of possible chemical compositions; and
sending, by one or more processors, the alert to a user device, wherein the alert comprises the table of possible chemical compositions.
2. The computer-implemented method of claim 1 , wherein updating the predictive model with the data comprises:
analyzing, by one or more processors, the data using the predictive model;
identifying, by one or more processors, at least one color using k-means clustering; and
matching, by one or more processors, the at least one color to at least one chemical composition using a machine learning classifier of the predictive model.
3. The computer-implemented method of claim 1 , wherein determining to send the alert based on the table of possible chemical compositions comprises:
determining, by one or more processors, whether a weight percentage associated with a chemical composition in the table of possible chemical compositions is above a threshold.
4. The computer-implemented method of claim 1 , wherein determining to send the alert based on the table of possible chemical compositions comprises:
determining, by one or more processors, whether at least one chemical composition in the table of possible chemical compositions are listed on a water chemical contaminant list.
5. The computer-implemented method of claim 1 , wherein each chemical composition in the table of possible chemical compositions is weighted based on a distribution of water coloring data.
6. The computer-implemented method of claim 1 , wherein the data is unstructured picture or video data.
7. A computer program product for chemical detection for a water source, the computer program product comprising:
one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising:
program instructions to receive from a network device of a plurality of network devices, data, wherein the data includes at least one of image data, video data, chemical sensor data, and biosensor data;
program instructions to update a predictive model with the data;
program instructions to receive a table of possible chemical compositions from the predictive model;
program instructions to determine to send an alert based on the table of possible chemical compositions; and
program instructions to send an alert to a user device, wherein the alert comprises the table of possible chemical compositions.
8. The computer program product of claim 7 , wherein the program instructions to update the predictive model with the data comprise:
program instructions to analyze the data using the predictive model;
program instructions to identify at least one color using k-means clustering; and
program instructions to match the at least one color to at least one chemical composition using a machine learning classifier.
9. The computer program product of claim 7 , wherein the program instructions to determine to send the alert based on the table of possible chemical compositions comprise:
program instructions to determine whether a weight percentage associated with a chemical composition in the table of possible chemical compositions is above a threshold.
10. The computer program product of claim 7 , wherein the program instructions to determine to send the alert based on the table of possible chemical compositions comprise:
program instructions to determine whether at least one chemical composition in the table of possible chemical compositions are listed on a water chemical contaminant list.
11. The computer program product of claim 7 , wherein each chemical composition in the table of possible chemical compositions is weighted based on a distribution of water coloring data.
12. The computer program product of claim 7 , wherein the data is unstructured picture or video data.
13. A computer system for chemical detection for a water source, the computer system comprising:
one or more computer processors;
one or more computer readable storage media;
program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:
program instructions to receive from a network device of a plurality of network devices, data, wherein the data includes at least one of image data, video data, chemical sensor data, and biosensor data;
program instructions to update a predictive model with the data;
program instructions to receive a table of possible chemical compositions from the predictive model;
program instructions to determine to send an alert based on the table of possible chemical compositions; and
program instructions to send an alert to a user device, wherein the alert comprises the table of possible chemical compositions.
14. The computer system of claim 13 , wherein the program instructions to update the predictive model with the data comprise:
program instructions to analyze the data using the predictive model;
program instructions to identify at least one color using k-means clustering; and
program instructions to match the at least one color to at least one chemical composition using a machine learning classifier.
15. The computer system of claim 13 , wherein the program instructions to determine to send the alert based on the table of possible chemical compositions comprise:
program instructions to determine whether a weight percentage associated with a chemical composition in the table of possible chemical compositions is above a threshold.
16. The computer system of claim 13 , wherein the program instructions to determine to send the alert based on the table of possible chemical compositions comprise:
program instructions to determine whether at least one chemical composition in the table of possible chemical compositions are listed on a water chemical contaminant list.
17. The computer system of claim 15 , wherein each chemical composition in the table of possible chemical compositions is weighted based on a distribution of water coloring data.