Systems and methods for predicting and detecting hazardous conditions and facilitating regulatory compliance through automated communication platforms

1. A system for predicting or detecting hazardous biological conditions, comprising:

(a) a plurality of cooling or water tower structures located at a plurality of sites;

(b) a database that stores historical data associated with monitoring legionella conditions at the plurality of sites, the historical data at least including information associated with tracking the legionella conditions in the cooling or water tower structures, prior occurrences of the legionella conditions in the cooling or water tower structures, and attributes associated with the cooling or water tower structures when the prior occurrences of the legionella conditions were detected; and

(c) at least one computing device having at least one processor and at least one physical storage device that stores instructions, wherein execution of the instructions by the at least one processor causes the at least one computing device to:

provide an electronic platform that is configured to perform functions associated with monitoring and remediating legionella conditions at the plurality of sites;

receive, via the electronic platform, monitoring information from one or more of: sensory devices which provide real-time tracking of the legionella conditions at the sites, and electronic devices that transmit the monitoring information over a network to track the legionella conditions at the plurality sites;

store the monitoring information in the database with the historical data;

execute a prediction component which is configured to analyze the historical data and monitoring information to predict future occurrences of legionella conditions at one or more of the sites, wherein analyzing the historical data and monitoring information to predict future occurrences of legionella conditions at one or more of the sites includes:

analyzing the historical data to identify correlations between elevated levels of legionella conditions at the cooling or water tower structures when the prior occurrences of the legionella conditions were detected and the attributes at the cooling or water tower structures when the prior occurrences of the legionella conditions were detected; and

predicting the future occurrences of legionella conditions at one or more of the sites based, at least in part, on the identified correlations; and

generate an alert that provides information associated with the predicted future occurrences of legionella conditions.

2. The system of claim 1 , wherein the identified correlations include one or more of:

service providers correlated to elevated levels of legionella or other hazardous conditions;

adherence information correlated to elevated levels of legionella or other hazardous conditions;

geographic patterns correlated to elevated levels of legionella or other hazardous conditions; and

weather patterns correlated to elevated levels of legionella or other hazardous conditions.

3. The system of claim 1 , wherein the electronic devices are operated by service providers tasked with monitoring or attending to treatment of the legionella conditions at the plurality of sites.

4. The system of claim 1 , wherein the electronic platform is configured to transmit alerts to at least one of the sites identifying one or more of the predicted future occurrences of legionella conditions.

5. The system of claim 4 , wherein the alerts include:

recommendations for preventing the predicted future occurrences of legionella conditions; and

options for scheduling service providers to treat or prevent the predicted future occurrences of legionella conditions.

6. The system of claim 1 , further comprising:

remediation equipment located at the plurality of sites, wherein the remediation equipment is configured to cure or prevent occurrences of legionella conditions.

7. The system of claim 6 , wherein the electronic platform is configured to transmit control signals to the remediation equipment over the network for activating and deactivating the remediation equipment.

8. A method for predicting or detecting hazardous biological conditions, comprising:

providing access to a database stored on a non-transitory storage device, the database including historical data associated with monitoring legionella conditions at a plurality of sites, the historical data at least including information associated with tracking the legionella conditions in cooling or water tower structures at the plurality of sites, prior occurrences of the legionella conditions in the cooling or water tower structures, and attributes associated with the cooling or water tower structures when the prior occurrences of the legionella conditions were detected;

providing access to an electronic platform that is configured to perform functions associated with monitoring and remediating legionella conditions at the plurality of sites;

receiving monitoring information, via the electronic platform, from one or more of: sensory devices which provide real-time tracking of the legionella conditions at the sites, and electronic devices that transmit the monitoring information over a network to track the legionella conditions at the plurality sites;

storing the monitoring information in the database with the historical data;

executing a prediction component which is configured to analyze the historical data and monitoring information to predict future occurrences of hazardous legionella conditions at one or more of the sites, wherein analyzing the historical data and monitoring information to predict future occurrences of legionella conditions at one or more of the sites includes:

analyzing the historical data to identify correlations between elevated levels of legionella conditions at the cooling or water tower structures when the prior occurrences of the legionella conditions were detected and the attributes at the cooling or water tower structures when the prior occurrences of the legionella conditions were detected; and

predicting the future occurrences of legionella conditions at one or more of the sites based, at least in part, on the identified correlations; and

generating an alert that provides information associated with the predicted future occurrences of the predicted future occurrences of legionella conditions.

9. The method of claim 8 , wherein the identified correlations include one or more of:

service providers correlated to elevated levels of legionella or other hazardous conditions;

adherence information correlated to elevated levels of legionella or other hazardous conditions;

geographic patterns correlated to elevated levels of legionella or other hazardous conditions; and

weather patterns correlated to elevated levels of legionella or other hazardous conditions.

10. The method of claim 8 , wherein the electronic devices are operated by service providers tasked with monitoring or attending to treatment of the legionella conditions at the plurality of sites.

11. The method of claim 8 , wherein the electronic platform is configured to transmit alerts to at least one of the sites identifying one or more of the predicted future occurrences of legionella conditions.

12. The method of claim 11 , wherein the alerts include:

recommendations for preventing the predicted future occurrences of legionella conditions; and

options for scheduling service providers to treat or prevent the predicted future occurrences of legionella conditions.

13. The method of claim 8 , further comprising:

using the remediation equipment located at the plurality of sites to cure or prevent occurrences of legionella conditions.

14. The method of claim 13 , wherein the electronic platform is configured to transmit control signals to the remediation equipment over the network for activating and deactivating the remediation equipment.

15. A server for predicting or detecting biological, chemical or other hazardous conditions, comprising:

at least one computing device having at least one processor and at least one physical storage device that stores instructions, wherein execution of the instructions by the at least one processor causes the at least one computing device to:

provide access to a database that includes historical data associated with monitoring legionella conditions at a plurality of sites, prior occurrences of the legionella conditions at the sites, and attributes associated with the sites when the prior occurrences of the legionella conditions were detected;

provide access to an electronic platform that is configured to perform functions associated with monitoring and remediating legionella conditions at the plurality of sites;

receive monitoring information, via the electronic platform, from one or more of: sensory devices which provide real-time tracking of the legionella conditions at the sites, and electronic devices that transmit the monitoring information over a network to track the legionella conditions at the plurality sites;

store the monitoring information in the database;

execute a prediction component which is configured to analyze the historical data and monitoring information to predict future occurrences of legionella conditions at the plurality of sites, wherein analyzing the historical data and monitoring information to predict future occurrences of legionella conditions at one or more of the sites includes:

analyzing the historical data to identify correlations between elevated levels of legionella conditions at the sites when the prior occurrences of the legionella conditions were detected and the attributes at the sites when the prior occurrences of the legionella conditions were detected; and

predicting the future occurrences of legionella conditions at one or more of the sites based, at least in part, on the identified correlations; and

generate an alert that provides information associated with the predicted future occurrences of legionella conditions.

16. The server of claim 15 , wherein the electronic platform is configured to transmit alerts to at least one of the sites identifying one or more of the predicted future occurrences of legionella conditions.

17. The server of claim 16 , wherein the alerts include:

recommendations for preventing the predicted future occurrences of legionella conditions; and

options for scheduling service providers to treat or prevent the predicted future occurrences of legionella conditions.

18. The system of claim 1 , wherein:

the monitoring information indicates current statuses of the plurality of sites;

the current statuses of the plurality of sites is utilized to predict the future occurrences of legionella conditions at one or more of the sites based, at least in part, on the identified correlations.

19. The system of claim 1 , wherein:

the attributes associated with the cooling or water tower structures when the prior occurrences of the legionella conditions were detected indicate weather conditions that were present during the prior occurrences of the legionella conditions; and

the identified correlations used to predict the future occurrences of legionella conditions are based, at least in part, on one or more detected weather patterns that are correlated with elevated levels of legionella conditions at the cooling or water tower structures.

20. The system of claim 1 , wherein:

the attributes associated with the cooling or water tower structures when the prior occurrences of the legionella conditions were detected identify equipment that was present during the prior occurrences of the legionella conditions; and

the identified correlations used to predict the future occurrences of legionella conditions are based, at least in part, on equipment that is correlated with elevated levels of legionella conditions at the cooling or water tower structures.

21. The system of claim 1 , wherein:

the attributes associated with the cooling or water tower structures when the prior occurrences of the legionella conditions were detected identify service providers who serviced the cooling or water tower structures associated with the prior occurrences of the legionella conditions; and

the identified correlations used to predict the future occurrences of legionella conditions are based, at least in part, on one or more service providers correlated with elevated levels of legionella conditions at the cooling or water tower structures.