Systems and Methods for Enabling Situational Awareness for Events Via Data Visualization

Abstract

Aspects of the present disclosure relate to data visualization, and more specifically, to technology that automatically visualizes various analytics and predictions generated for mass participation endurance events, or other mass participation events of interest.

1 . A system for visualizing data, the system comprising:
 a computing device deployed within a communications network, wherein the computing device is configured to:
 use prediction logic to process historical operational data and thereby generate a simulation of resources of a mass participation event; 
 receive real-time operational data corresponding to at least the resources during the mass participation event; 
 based on the simulation and the real-time operational data, verify that the simulation is accurately modeling real-time resources at the mass participation event; 
 based on verifying the simulation, train the prediction logic using the real-time operational data to obtain refined prediction logic; and 
 use the refined prediction logic to generate an updated simulation of the resources of the mass participation event. 
   
     
     
         2 . The system of  claim 1 , wherein the computing device is further configured to obtain at least a portion of the real-time operational data from medical supply areas during the mass participation event. 
     
     
         3 . The system of  claim 1 , wherein the computing device is further configured to generate a graphical user interface to display event prediction analytics comprising a predicted demand for resources at the mass participation event or a predicted consumption of resources at the mass participation event. 
     
     
         4 . The system of  claim 1 , wherein the computing device is further configured to receive at least a portion of the real-time operational data from one or more sensors physically located at the mass participation event. 
     
     
         5 . The system of  claim 1 , wherein the computing device is further configured to validate the simulation based on a comparison of simulation data to the real-time operational data, and wherein the simulation is deemed valid based on the comparison satisfying a data matching threshold. 
     
     
         6 . The system of  claim 1 , wherein the mass participation event comprises at least one of a concert, a festival, a sporting event, a mass police response, or a convention. 
     
     
         7 . The system of  claim 1 , wherein the resources comprise medical resources. 
     
     
         8 . A computing device comprising:
 one or more processors;   memory storing instructions that, when executed by the one or more processors, cause the computing device to:
 use prediction logic to process historical operational data and thereby generate a simulation of resources of a mass participation event; 
 receive real-time operational data corresponding to at least the resources during the mass participation event; 
 based on the simulation and the real-time operational data, verify that the simulation is accurately modeling real-time resources at the mass participation event; 
 based on verifying the simulation, train the prediction logic using the real-time operational data to obtain refined prediction logic; and 
 use the refined prediction logic to generate an updated simulation of the resources of the mass participation event. 
   
     
     
         9 . The computing device of  claim 8 , wherein the instructions, when executed by the one or more processors, further cause the computing device to obtain at least a portion of the real-time operational data from medical supply areas during the mass participation event. 
     
     
         10 . The computing device of  claim 8 , wherein the simulation models at least one of a flow of resources, an amount of resources, or one or more locations of resources. 
     
     
         11 . The computing device of  claim 8 , wherein the instructions, when executed by the one or more processors, further cause the computing device to receive at least a portion of the real-time operational data from one or more sensors physically located at the mass participation event. 
     
     
         12 . The computing device of  claim 8 , wherein the instructions, when executed by the one or more processors, further cause the computing device to:
 generate, based on the prediction logic, an instruction for at least one medical supply area of the mass participation event; and   send an instruction to a device associated with the medical supply area of the mass participation event.   
     
     
         13 . The computing device of  claim 8 , wherein the real-time operational data further corresponds to at least one of weather data, medical data, participant data, course information data, or environment data. 
     
     
         14 . The computing device of  claim 8 , wherein the resources comprise medical supplies and wherein the computing device is further configured to use the prediction logic to process the historical operational data and thereby generate a prediction of where to locate medical supply areas at the mass participation event or a prediction of an amount of the medical supplies to allocate to each of the medical supply areas. 
     
     
         15 . A non-transitory computer-readable storage medium comprising computer-executable instructions that, when executed, cause a computing device to:
 process historical operational data using prediction logic to generate a simulation of resources of a mass participation event;   receive real-time operational data corresponding to at least the resources during the mass participation event;   based on the simulation and the real-time operational data, verify that the simulation is accurately modeling real-time resources at the mass participation event;   based on verifying the simulation, train the prediction logic using the real-time operational data to obtain refined prediction logic; and   use the refined prediction logic to generate an updated simulation of the resources of the mass participation event.   
     
     
         16 . The non-transitory computer readable medium of  claim 15 , wherein the instructions, when executed, further cause the computing device to obtain at least a portion of the real-time operational data from medical supply areas during the mass participation event. 
     
     
         17 . The non-transitory computer readable medium of  claim 15 , wherein the instructions, when executed, further cause the computing device to validate the simulation based on a comparison of simulation data to the real-time operational data, and wherein the simulation is deemed valid based on the comparison satisfying a data matching threshold. 
     
     
         18 . The non-transitory computer readable medium of  claim 15 , wherein the instructions, when executed, further cause the computing device to generate a graphical user interface to display event prediction analytics comprising a predicted demand for resources at the mass participation event or a predicted consumption of resources at the mass participation event. 
     
     
         19 . The non-transitory computer readable medium of  claim 15 , wherein the instructions, when executed, further cause the computing device to receive the real-time operational data from one or more sensors that are physically located at the mass participation event. 
     
     
         20 . The non-transitory computer readable medium of  claim 15 , wherein the mass participation event comprises at least one of a concert, a festival, a sporting event, a mass police response, or a convention.